Yuki Mukai-Sasaki
Zhongxing Liao1- 1Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
- 2Advanced Medical Center, Shonan Kamakura General Hospital, Kamakura, Japan
Radiation therapy (RT)-induced cardiopulmonary toxicities remain dose-limiting toxicities for patients receiving radiation dosages to the thorax, especially for lung cancer. Means of monitoring and predicting for those receiving RT or concurrent chemoradiation therapy before treatment begins in individual patients could benefit early intervention to prevent or minimize RT-induced side effects. Another aspect of an individual’s susceptibility to the adverse effects of thoracic irradiation is the immune system as reflected by phenotypic factors (patterns of cytokine expressions), genotypic factors (single nucleotide variants SNVs; formerly single nucleotide polymorphisms [SNPs]), and aspects of quantitative cellular imaging. Levels of transcription, production, and functional activity of cytokines are often influenced by SNVs that affect coding regions in the promoter or regulatory regions of cytokine genes. SNVs can also lead to changes in the expression of the inflammatory cytokines, interferons, interleukins (IL-6, IL-17) and tumor necrosis factors (TNF-α) at the protein level. RT-induced cardiopulmonary toxicities could be quantified by the uptake of 18F-fluorodeoxyglucose (FDG), however, FDG is a sensitive but not specific biomarker in differential diagnosis between inflammation/infection and tumor recurrence. FDG is suitable for initial diagnosis of predisposed tissue injuries in non-small cell lung cancer (NSCLC). 99mTc-ethylenedicysteine-glucosamine (99mTc-EC-G) was able to measure tumor DNA proliferation and myocardial ischemia via hexosamine biosynthetic pathways (HBP). Thus, 99mTc-EC-G could be an alternative to FDG in the assessment of RT doses and select patients in HBP-directed targets for optimal outcomes. This article reviewed correlative analyses of pro-inflammatory cytokines, genotype SNVs, and cellular imaging to improve the diagnosis, prognosis, monitoring, and prediction of RT-induced cardiopulmonary toxicities in NSCLC.
1. Radiation therapy modalities for lung cancer
Lung cancer is the most common cancer worldwide and the second most commonly diagnosed cancer in both men and women in the United States. The most prevalent subtype is NSCLC; a small-cell lung cancer variant (SCLC) is less common but deadly because of its propensity to metastasize, especially to the brain, before it is detected. Radiation therapy (RT) is a key component of both definitive and palliative therapy for lung cancer. In NSCLC, RT can be used to shrink tumors before surgery, or to eliminate residual tumor cells after surgery. In SCLC, prophylactic cranial irradiation helps to suppress or delay metastatic tumor to the brain.
In the past, conventional radiation treatments were based on 2-dimensional (2D) X-ray images, a practice that resulted in suboptimal dose distributions to both the target and surrounding normal structures. Advances in external-beam radiation therapy since the era of 2D-based therapy include stereotactic ablative (body) RT (SABR or SBRT), 3D conformal RT, intensity-modulated (IM) RT, volumetric modulated arc therapy (VMAT), and stereotactic radiosurgery (SRS). Each of these advanced techniques requires the use of sophisticated 3D- and sometimes 4D-imaging systems. SBRT uses tumor tracking and image guidance to enable the delivery of high-dose radiation to the tumor while sparing normal tissues, and has shown particular promise for early-stage lung cancer. In 3D conformal RT, tumor locations are mapped precisely through the use of computed tomography (CT) scans, and radiation beams are shaped and aimed at the tumor from several directions, which reduces the likelihood of damaging nearby normal tissues. In IMRT, radiation beams are also shaped and aimed at the tumor from several angles, but the intensity (strength) of the beams can also be adjusted to limit the dose that reaches normal tissues. VMAT is similar to IMRT but radiation is delivered in arcs through rotation of the linear accelerator, which can speed the treatment process. IMRT or VMAT are often used for tumors that are near important structures such as the spinal cord. SRS is used to treat intracranial tumors. SRS also uses multiple beams of radiation aimed at tumors in the brain from different angles, and is delivered over a few minutes to hours. Use of the Cyberknife imaging guidance system or novel tomotherapy systems that combine dynamic helical radiotherapy with imaging guidance can enable highly effective and accurate stereotactic radiation delivery (1). Collectively, these advanced techniques can optimize outcomes in tumor control, minimize normal tissue damage, and prolong survival for patients with lung cancer.
Another advancement in RT is the use of proton beam therapy, which also enables precise targeting of tumors with greatly reduced radiation exposure beyond the tumor target. The enhanced ability to avoid normal tissue exposure from proton therapy is thought to minimize toxic reactions and thereby improve patients’ quality of life relative to X-ray (photon) therapy. However, proton therapy is subject to physical uncertainties associated with the ability to target tumors consistently between fractions, particularly tumors that move with respiration or cardiac function, and to account for inconsistencies in patient set-up and positioning between treatments. At present, proton therapy is more expensive than conventional IMRT or VMAT methods. RT, whether delivered by IMRT or VMAT, or as proton therapy, is also effective in relieving symptoms caused by more advanced lung tumors such as pain, bleeding, or airway blockage. Regardless of whether the intent of treatment is curative or palliative, the goals of external-beam radiation therapy are the precise delivery of high-dose radiation to targeted areas while minimizing the dose to surrounding tissues.
2. Management of radiation-induced cardiopulmonary toxicities
2.1. Pneumonitis
Although technologic advances have considerably improved the ability to deliver targeted radiation for the treatment of NSCLC and other thoracic tumors, RT nevertheless may induce pneumonitis when the radiation doses are high or when large volumes of lung tissue are exposed (2–7). One approach to establish safe radiation dose limits for healthy lung tissue was to include mathematical models of normal tissue complication probability. In this approach, dose-volume histogram metrics are used to derive radiation dose limits. One such limitation in common use is the mean lung dose (8). However, the relationship between mean lung dose and risk of radiation pneumonitis is also influenced by factors such as an individual’s response to chemotherapy, heterogeneity in the composition of the tumor, and tumor location (9–11). Therefore, these models are not ideal for predicting which individual patients will develop pneumonitis in response to radiation.
To monitor and predict the development of pneumonitis by RT in individuals, attempts have been incorporated with other physiological factors such as circulating levels of immune-related cytokine patterns (e.g., interleukins [ILs], interferons [IFNs], tumor necrosis factor [TNF], and transforming growth factor [TGF]). All of these biomarkers have been linked with the risk of radiation pneumonitis (12, 13). Other genotypic factors such as SNVs (previously known as SNPs), particularly those in pathways involved in DNA repair, cell cycling, tumor necrosis, and angiogenesis have also been tested for their ability to predict radiation pneumonitis in individual patients (14, 15). Another reported model incorporates both dose-volume component and genetic component (SNVs) in further attempt to optimize lung dosage for individual patients being treated for NSCLC (11). The reports in genotype factors suggested that predictions of pneumonitis could be improved by using this combination of components relative to mathematic models on dose-volume effects.
RT-induced pneumonitis occurs in three phases: (i) ultrastructural changes in the alveolar–capillary barrier and alveolar epithelial cells at the molecular and cellular levels (microvascular permeability, interstitial edema, apoptosis), occurring during the first 2-4 weeks after irradiation; (ii) inflammation triggered by cascades of cytokines and expression of hypoxic genes that damage the lung parenchyma, epithelial cells, vascular endothelial cells, and stroma, occurring from 1-6 months after irradiation (i.e., the acute phase); and (iii) lung fibrosis, occurring more than 6 months after irradiation (i.e., the chronic phase) (16, 17).The most common symptoms of pneumonitis are shortness of breath, fatigue, weight loss, loss of appetite, and dry cough, which may become chronic. Chronic pneumonitis can lead to permanent pulmonary fibrosis, heart failure, and death. Corticosteroids and oxygen therapy are used to reduce inflammatory cell infiltration and cytokine expression of TNF-α, IL-6, IL-17A, and TGF-β1 in broncho-alveolar lavage fluid in radiation-induced pneumonitis (18). In patients who cannot tolerate steroids or are unresponsive, investigators reported the use of radiation protectors, modifiers, or mitigators for acute or late responding normal tissues, ideally without any protective effect on the tumor cells. An example of amifostine, a radioprotector, was given before radiation exposure making normal cells more resistant to permanent RT-induced DNA damage by neutralizing reactive oxygen species (ROS) and increasing oxygen consumption in normal cells. Radiomitigators were given during or immediately after radiotherapy but before the appearance of toxicity. For instance, methyl prednisone, an immune suppressor, could reduce TGF-β1 and TNF-α. Lovastatin and ulinastatin (HMG-co-reductase inhibitors) could enhance the concentration of endothelial nitric oxide synthase which promotes anti-inflammatory signaling, prevents apoptosis, increases vasodilatation, and reduces platelet adhesion. The Angiotensin II and renin-angiotensin-system agents (Captopril, Enalapril) were used for mitigating late radiation effects. These drugs modulate the effects of TGF-β in radiation damage by targeting the oxidant, inflammatory and fibrogenic pathways (19). Others reported the use of an anti-oxidant (curcumin, genistein) and Keratinocyte Growth Factor (KGF) to stimulate the proliferation and differentiation of alveolar type 2 cell and protects the RT-induced lung inflammation and fibrosis. After the appearance of toxicity, bone marrow derived mesenchymal stem cell therapy could be administered to modulate progression or reverse the damage (20, 21).
Exposure of the heart to radiation during treatment has also been examined for possible relationship with the development of pneumonitis (22–26). Some, but not all, of these reports suggested that minimizing the dose to the heart (“dose sparing”), particularly the upper regions of the heart, could improve RT-induced pneumonitis. One example involved evaluating the relationship between radiation doses to the heart and its substructures and pneumonitis during treatment for thymic epithelial tumors, because these tumors generally originate within the anterior mediastinal region and can spread into the pericardial space (25). This retrospective analysis indicated that RT-induced pneumonitis appeared despite the mean lung dose and lung V20 being lower than those used for locally advanced NSCLC, and that this seemed to be related to the dose (V35) to the pulmonary artery; the authors proposed that minimizing the dose to the pulmonary artery might reduce the incidence of pneumonitis in patients undergoing mediastinal RT. Concurrent chemoradiation therapy, particularly with bleomycin, cyclophosphamide, carmustine, and etoposide, has also been reported to increase the risk of pneumonitis for SCLC (27, 28).
2.2. Carditis
As noted in the previous section, because locally advanced lung cancer can involve the mediastinal lymph nodes that lie behind the heart, some exposure of the heart may be unavoidable during RT for lung cancer. Exposure of the heart’s three layers (pericardium, myocardium, and endocardium) can lead to three corresponding types of carditis (pericarditis, myocarditis, and endocarditis). The pericardium is the outermost layer of the heart and contains nerves and blood vessels that support the heart. The myocardium is the muscle of the heart, which enables the heart to contract during systole and diastole. The endocardium is the inner layer of the heart, and consists of connective tissue linked to the inner surfaces of the heart chambers and valves. In decreasing order of occurrence, RT-induced cardiac toxicities can include ischemic and infarction myocarditis, pericardial toxicity, valvular toxicity, or arrhythmias. “Myocarditis” is a general term to describe inflammation of the myocardium; the ‘gold standard’ for diagnosing myocarditis (and determining its etiology) is endomyocardial biopsy, which is used infrequently because of its invasive nature. According to the World Health Organization, other means of diagnosing myocarditis include histological, immunological, immunohistochemical, and molecular analyses; the diagnosis may also be made based on circumstantial evidence such as abnormalities on echocardiography or magnetic resonance imaging (MRI). In patients with NSCLC, myocarditis is generally diagnosed on the basis of biomarkers (troponin, CPK, myoglobulin), immunohistopathologic findings, and imaging findings. For instance, cardiotoxicity can be defined by analyzing the change in the left ventricular shortening fraction (LVSF) diagnosed via ECHO, or as a clinical diagnosis showing apparent heart failure in the patient. If LVSF is lower than 28%, or if there is more than 10% change in LVSF from baseline, this constitutes cardiotoxicity (29).
2.3. ROS-mediated DNA damage in pulmonary fibrosis and carditis
Most of the radiation damage (X-ray, gamma rays, rapid electrons) after exposure to radiation is caused by the generation of reactive oxygen species (ROS) and reactive nitrogen species (RNS). ROS and RNS are produced by the radiation decomposition of water, which is an important source of normal tissue damage after ionizing radiation. ROS plays an important role in radiation-induced epigenetic changes and causes differentiation of normal fibroblasts to myofibroblasts. Under normal conditions, myofibroblasts are responsible for normal wound closure after injury. After wound healing and restoration of extracellular matrix (ECM) to homeostatic levels, the myofibroblasts undergo apoptosis. If the myofibroblasts do not undergo apoptosis after healing and continue to damage, then aberrant amounts of extracellular matrix proteins may occur and cause fibrosis (Figures 1, 2) (30, 31). The degranulation of mast cells triggered by ROS generation, complement activation, cytokine stimulation or adenosine after irradiation may lead to the release of several mast cell-derived fibrogenic mediators, such as TNF-α, TGF-β, IL-4 and PDGFs, which may trigger or amplify the fibrotic response. Up-regulated TGF-β1 at the protein and the mRNA level is one of the most effective initiators for inducing differentiation of myofibroblasts from resident fibroblasts and bone marrow progenitors (32). Activated myofibroblasts can enhance the synthesis of ECM protein, increase the expression of integrins and suppress matrix metalloproteinases. Abnormal accumulation of ECM separating and/or replacing myocytes increases ventricular stiffness, decreases elasticity and distensibility and can lead to contractile dysfunction. Excess fibroblasts and ECM can cause damage to the mechano-electric coupling of cardiomyocytes, thus decreasing cardiac contraction and raising the risk of arrhythmogenesis and mortality. Besides, inflammation and fibrosis within perivascular regions may cause a reduction in tissue utilization of oxygen and nutrients and increase the adverse cardiac remodeling. These factors ultimately lead to decreased elasticity and distensibility, thereby resulting in reduced ejection fraction and cardiac failure (32–34). ROS also acts as a second messenger to alter the expression of multiple proteomes in the cytoplasm. Sallam M, et al., provided a summary of the ionizing radiation in epigenetic modifications, especially DNA methylation alterations in carditis. The activation of NF-κB induces the production of inflammatory cytokines. NF-κB regulates DNA transcription and protein complexes engage in various cellular oxidative stress responses. The change the integrity of the genome could lead to cell cycle arrest, apoptosis, mutation and other effects (35).
Figure 1 The process of fibroblast cells changes to myofibroblast cells due to ROS-mediated DNA damage.
Figure 2 Imbalance between ROS, NOS and up-regulation of NADPH oxidases are involved in DNA damage in carditis after irradiation.
Wang B et al., summarized the underlying pathophysiology involved in the initiation and progression of radiation-induced myocardial fibrosis. They reported the imbalance between ROS and nitric oxide (NO) as well as up-regulation of NADPH oxidases are responsible for vascular injury after irradiation. Vascular injury and endothelial dysfunction can promote the overproduction of oxygen free radicals and induce redox reactions (36). During vascular injury, chronic hypoxia and the expression of hypoxia-inducible factor-1 (HIF-1α) can trigger angiogenesis by up-regulating the expression of vascular endothelial growth factor (VEGF) and TGF-β, as well as the induction of inflammatory mediators. Injured endothelial cells can also increase the capacity for monocyte adhesion through inflammatory adhesion molecules such as vascular cell adhesion molecule 1 (VCAM-1), intercellular adhesion molecule-1 (ICAM-1) and E-selectin. Invading monocytes are transformed into activated macrophages and recruited into the intima via monocyte chemotactic protein-1 to form fatty streaks in the presence of elevated cholesterol. Monocytes absorb low-density lipoprotein to form lipid-laden foam cell aggregates after transmigration, which further secrete inflammatory cytokines and pro-fibrotic chemokines such as TGF-β, stimulate the differentiation of smooth muscle cells into myofibroblasts, and generate large quantities of type IV collagen, eventually leading to arterial stenosis and fibrosis (36). To prevent RT-induced microvascular damage, inflammation, and late fibrosis in pulmonary and heart, some drugs including statins, angiotensin-converting enzyme inhibitors, and antioxidants were used as therapeutic strategy to treat cellular targets (33, 36).
3. Modulators of radiation-induced pulmonary toxicities
3.1. Immune cells and fibroblasts in radiation-induced lung fibrosis and carditis
Radiation-induced lung fibrosis and carditis are potentially lethal clinical complication during chest RT. Pulmonary fibrosis can lead to distorted pulmonary architecture, impaired lung function, and alveolar gas exchange, resulting in hypoxemia, dyspnea and exercise intolerance. Myocardial fibrosis in carditis is characterized by decreased ventricular elasticity and distensibility, which can result in decreased ejection fraction, heart failure and even sudden cardiac death. Huang E et al., summarized recent advances in understanding the roles of immune cells in regulating fibrotic development and immune-based therapies in different disorders. During inflammatory responses, activated immune cells orchestrate the cellular and molecular processes of fibrosis in responses to external stimuli and microenvironmental factors. The recruitment and activation of immune cells including macrophages, neutrophils, natural killer (NK) cells, T cells, and B cells regulate the progression and regression of fibroblast production in various organs and tissues through different molecular mechanisms. The authors also reported the molecular mechanisms with a focus on mTOR and JAK-STAT signaling pathways (Figure 3) (37). Wang B et al., reported that the radiation-induced vascular endothelial injuries induce the inflammatory chemokine secretion and degradation of the endothelial basement membrane by matrix metalloproteinases to recruit leucocytes to injured sites. Neutrophils migrate to damaged sites, mediated by adhesion molecules such as E-selectin, ICAM-1 and VCAM-1, and secrete growth factors and inflammatory mediators including TNF, IL-1, IL-6 and IL-8, to mediate the acute inflammation response. These mediators also release pro-fibrotic cytokines like platelet-derived growth factor (PDGF), insulin-like growth factor (IGF), basic fibroblast growth factor (FGF), TGF-β and CTGF to promote ROS development leading to chronic inflammation (36). The multiple TGF-β, ILs, INFs, TNFs, and cytokines amplify the inflammatory response and trigger the recruitment and proliferation of fibroblasts (36, 38–40). Subsequently, interactions between monocytes and lymphocytes promote the differentiation of monocytes into M1 and M2 macrophage subsets. Increased M2 macrophages enhance proliferation and differentiation of fibroblasts into myofibroblasts by the secretion of TGF-β and FGF at the injured site. Increased myofibroblasts produce large quantities of type IV collagen, eventually leading to fibrosis and cell death (36).
Figure 3 Roles of immune cells and fibroblasts in radiation-induced lung fibrosis and carditis.
3.2. IL-6 and IL-17
RT-induced carditis, pneumonitis and fibrosis remain the main limiting factors for efficient RT. Variations in the susceptibility to RT-induced cardiopulmonary toxicities after ionizing radiation among individuals depend on genetic makeup as well as radiation doses (41). For example, single-fraction RT doses of <7.5 Gy led to near-0% incidence of pneumonitis in humans, but that incidence rose to 50% after a single-fraction dose of 9.3 Gy. During ionizing radiation, activation of various signal transduction pathways induces processes that lead to replacement of damaged cells, influx of inflammatory cells from peripheral blood, and production of cytokines that influence proliferation, chemotaxis, mediation of inflammatory responses, homeostasis, differentiation, and cell death (38).
Cytokines have active roles during all three phases of RT-induced pneumonitis as well as in carditis. Cytokines are involved in cell signaling in pathological processes, but levels of cytokines can also be useful in diagnosis. Some have posited that a mechanism underlying radiation-induced cardiopulmonary toxicity is hyperactivation of the immune system, characterized by the release of numerous inflammatory mediators, including ILs, INFs, TNFs, and cytokines (16, 39, 40, 42). Circulating levels of these factors that exceed normal thresholds can prompt cytokine release syndrome, a systemic inflammatory process that leads to massive cytokine production by proliferating activated T cells. IL-6 is the principal mediator in the development of cytokine release syndrome in addition to IL-2, IL-8, IL-10, IL-17, INFγ, and TNFα. The circulating levels of these cytokines are thought to be correlated to the severity of the syndrome. Cytokine release syndrome has been linked with life-threatening cardiovascular complications including hypotension, shock, tachycardia, arrhythmias (ranging from asymptomatic prolonged corrected QT interval to supraventricular tachycardia, atrial fibrillation, flutter, and ventricular arrhythmias (e.g., Torsade de Pointes), left ventricular dysfunction, heart failure, and cardiovascular death. Another proposed mechanism for radiation-induced cardiopulmonary toxicity is the formation of microvascular and macrovascular thrombi that result from the radiation-induced activation of platelets, neutrophils, and other proteins, which can contribute to vascular occlusion by microvascular thrombosis and myocardial infarction (43, 44). Further understanding of how cytokines that affect inflammatory processes affect RT-induced cardiopulmonary toxicity (and vice versa) may improve the effectiveness of RT for cancer. The information available on potential correlations between the cytokines IL-6 and IL-17 and their responses to RT-induced cardiopulmonary toxicity was reviewed below.
Analysis of a panel of circulating cytokines with different putative functions in radiation pulmonary injury identified IL-17 and IL-6 as early circulating cytokine markers for radiation induced cardiopulmonary toxicities. TNF-α, is known to have its role in fibrosis development and leads to TGF-β1 induction. IL-6 is produced by mononuclear phagocytes, lymphocytes, keratinocytes, hepatocytes, bone marrow cells, alveolar macrophages, lung fibroblasts, and pneumocytes and in response to the production of various other cytokines (IL-1, IL-17 and TNF-α) (45). The key function of IL-6 is to stimulate the growth and differentiation of B and T lymphocytes, which activate inflammation and immune responses by driving the trafficking and activation of those lymphocytes and by inducing production of acute-phase proteins by hepatocytes. IL-6 promotes T-cell proliferation, B-cell differentiation and survival, and plasma cell production of IgG, IgA, and IgM. Binding of the IL-6 ligand to the IL-6 receptor transmembrane protein (gp130) triggers the Jak-STAT cascade [Janus kinase [Jak]-phosphorylated signal transduction and activator transcription protein [STAT]) and activates glucose and receptor tyrosine kinase signaling pathways such as PI3/AKT/mTOR and Ras/Raf/MAPK (46). Several groups have reported correlations between the occurrence of radiation-induced pneumonitis and cardiotoxicity and levels of IL-6 in patients during RT (39, 47, 48). In addition to their involvement in radiation-induced cardiopulmonary toxicity, TGF-β, IL-6, IL-1, and TNFα also regulate the release of IL-17 from Th17 cells. The development and proliferation of these T-helper cells and their secretion of IL-17 are regulated mainly by IL-6, TGF-β, and TNF-α (49). Although cytokine expressions of TNF-α, IL-6, IL-17A, and TGF-β1 are sensitive phenotyping biomarkers in radiation-induced cardiopulmonary toxicities, they are not specific in differentiation of inflammation/infection versus tumor recurrence. Thus, phenotyping biomarkers could produce false-positive findings. To overcome these issues, more specific quantitative genomic sequencings are amenable for modulating RT-induced cardiopulmonary toxicities.
3.3. SNVs
Levels of transcription, production, and functional activity of cytokines are often influenced by SNVs (formerly known as SNPs) that affect coding regions in the promoter or regulatory regions of cytokine genes. SNVs in certain alleles of pro-inflammatory cytokines can also increase susceptibility to inflammation. An example is the inflammatory IL-6; the presence of an SNV that codes for heterozygosity in the promotor region of the IL-6 gene has been linked with increased numbers of CpG sites, methylation events, and mRNA levels in inflammatory stress (15).
The use of SNV genotyping arrays was applied to identify common DNA variants present across the human genome. SNVs have been shown to be responsible for differences in genetic traits, susceptibility to disease, and response to drug therapies. Because of their abundance and presence throughout the entire human genome, SNVs have been widely used in genetic association studies of various complex diseases such as cancer, obesity, osteoporosis, asthma, and hypertension. The main advantage of SNV arrays in cancer is that DNA from tumor cells is used instead of that from mitotically dividing cells in cell cultures. Although the wide occurrence of SNVs in a gene or in a regulatory region generally act as biological markers for identified genes associated with important traits, SNV arrays also have limitations. SNV genotyping platforms often find that some SNV loci cannot be well detected and genotyped because the flanking regions of these SNVs are not conserved or there are other “hits” in the genome due to the sequence homology. The sensitivity causes many false-positive or false-negative results in SNV genotyping.
In addition to IL-6, IL-17, and SNVs, other biomarkers being considered as adjuncts in the diagnosis of pneumonitis include C-reactive protein, leukocyte count, immunoglobulins, and proinflammatory cytokines. Other biomarkers of growing interest include procalcitonin and TREM (triggering receptor expressed on myeloid cells). Deficiency or variations in IL-17, a cytokine mainly secreted by Th17 cells, can cause increased susceptibility to inflammation and infection by extracellular pathogens. For example, the rs2275913 SNV, located in the promoter area of the IL-17A gene, is associated with inflammation and infection; the presence of an A allele at the rs2275913 SNV increases the secretion of IL-17A. According to one meta-analysis, the IL-17A rs2275913 polymorphism is linked with the risk of many types of cancer (50). Another study showed that the rs2275913 SNV of IL-17 is related to the severity of acute bronchiolitis and could lead to variations in IL-17 expression (51). Another group showed that patients with autoimmune diseases had increased frequencies of the heterozygous IL-6 promotor SNV rs1800795 (52). The presence of this functional SNV and its effects on cytokine patterns may be involved in radiation- or chemoradiation-induced cardiopulmonary inflammation. In addition to IL-6 and IL-17 levels, SNVs that affect cellular functions may be useful as biological markers, given that differences in their expression among patients has been linked with the incidence of radiation-induced toxicity (14, 15). SNVs have been shown to be responsible for differences in genetic traits, susceptibility to disease, and response to drugs and radiation. Analyses of SNV arrays can reveal genetic gains (duplications) or losses (deletions) that result in extra or missing copies of genetic material. Methods of detecting SNV sequences include allele-specific polymerase chain reaction (AS-PCR), restriction fragment length polymorphism (RFLP) PCR, TaqMan probes, multiplex PCR-based real-time invader assay (mPCR-RETINA), and next-generation sequencing. Apparently, quantitative analyses of SNVs are specific genotyping for RT-induced cardiopulmonary toxicities. The wide occurrence of SNVs in a gene or in a regulatory region generally act as biological markers for genes associated with important traits, SNV arrays also have limitations. Some SNV loci cannot be easily detected or genotypes on SNV genotyping platforms because the flanking regions of these SNPs are not conserved or other hits in the genome influence sequence homology, which can cause false-positive or false-negative results in SNV genotyping. In addition, both cytokine expressions and SNVs do not identify the location of cardiopulmonary toxicities as well as tumor status. Therefore, functional cellular imaging is an important factor to reduce the risk of developing severe radiation pneumonitis in interstitial lung disease and carditis based upon genotypes and phenotypes.
3.4. Cellular imaging as the modulator for radiation-induced cardiopulmonary toxicities
3.4.1. Trends of hybrid (fused) imaging modalities in radiopharmaceutical development
By offering accurate personalized radiation dose prescriptions and monitoring systems may help to reduce the incidence and severity of radiation-induced pneumonitis and carditis in individual patients. To achieve this goal, it requires a highly integrated approach that combines diagnostic testing by means of imaging-based analysis of cellular signaling pathways, measurement of circulating or secreted biomarkers, and assessment of genomic and proteomic anomalies. Such an imaging agent should be designed to identify tumor location, severeness of cardiopulmonary injuries, radiotherapy dose, chemotherapy doses, and select patient for pathway-directed therapy. Integrated analysis of circulating phenotype pro-inflammatory cytokines, genotype SNV arrays, and cellular imaging could enhance the ability to predict which patients will develop RT-induced cardiopulmonary toxicity.
Traditional means of diagnosing pneumonitis include imaging (e.g., roentgenology or CT); blood tests; pulmonary function testing (with an oximeter or spirometer); bronchoscopy; or surgical lung biopsy (53). However, improvements in cancer diagnosis, prognostication, treatment planning, and treatment monitoring have been greatly enhanced by the development of radionuclide-labeled compounds specifically targeted to tumors. Positron emission tomography/computed tomography (PET/CT) or single photon emission computed tomography/computed tomography (SPECT/CT) are used to map the location and concentrations of these compounds (54–56). In current practice, PET and SPECT gamma cameras are fused with CT scanners to enhance the sensitivity of these imaging methods for quantifying radiolabeled compounds in vivo in real time. The addition of CT to PET and SPECT allows better delineation of tumor volumes via multiple slices (by CT) and serial imaging (by PET and SPECT); also, the anatomic and morphologic detail revealed by CT improves the ability to evaluate anatomic changes induced by the therapy. Although CT and MRI can provide considerable anatomic information about the location and extent of tumors, these imaging modalities cannot adequately distinguish invasive lesions from edema, radiation necrosis, shifts in tumor grading during treatment, or gliosis. Therefore, CT, MRI, and ultrasonography can be helpful in estimating prognosis but do not provide information on the functional status of the target, which limits their effectiveness for evaluating treatment outcomes. Moreover, the “gold standard” for determining treatment endpoints remains the molecular and histologic analysis of biopsy samples; supplementation of these findings with information on tumor metabolic activity by PET or SPECT can improve the localization and characterization of tumors. The use of image-guided treatment approaches in parallel with CT or MRI hybrid instrumentation would provide a more comprehensive picture of response to treatment in individual patients.
The radiopharmaceuticals used for PET/CT and SPECT/CT show high specific activities and have little to no detectable pharmacologic effects because they are created by nuclear transformation and use carrier-free forms of isotopes. Use of these radiotracers can provide important information on a variety of processes, including vascular angiogenesis (i.e. integrin, VEGF, EGFR) (57–60), hypoxia (61–63), apoptosis (64, 65), biomarkers (i.e. fibroblast activation protein, PSA) (66–69), and cellular signaling and transcriptional activity (70–72). Overall, PET/CT and SPECT/CT imaging agents thus enable the comprehensive characterization necessary for determining optimal therapeutic dosing, regulatory warning in drug-induced adverse event, differential diagnosis between inflammation/infection and recurrence, sensitivity vs resistance to treatments, the grade of tumors, and the ability to predict which patients will response to a given treatment.
3.4.2. Imaging glycolysis pathways: Limitations of FDG-PET/CT
Functional cellular imaging in oncology has been focused on the identification of specific markers and the application of these markers to evaluate responses to RT or chemoradiation therapy. One such marker, the glucose analogue FDG, is used to assess uptake by glucose transporter and measure glucose metabolism. FDG is considered a “gold standard” radiopharmaceutical for PET and PET/CT. Visualization of FDG facilitates the detection of sites and extent of inflammation and infection as well as unsuspected distant metastases. FDG has also been used as an indirect measure of the glycolysis pathway (the conversion of glucose to lactate to produce adenosine triphosphate [ATP] for energy) and the hexokinase biosynthesis pathway (the conversion of glucose to intermediates that influence protein glycosylation), which both contribute to glucose metabolism and influence immune system function by prompting proliferation and activation of T cells. FDG uptake has been used to correlate recurrence and survival after treatment with high-dose proton therapy and chemotherapy in NSCLC (73). FDG has been used to manage symptoms of myocardial toxicity such as in distinguishing right from left ventricular dysfunction in myocarditis (74, 75).
18F-FDG-PET scanning can also aid in lung cancer staging, as it can visualize the extent of the primary tumor (76, 77) and the presence of mediastinal-node or systemic metastases. FDG-PET is also helpful for better defining radiation target volumes and for identifying patients with subclinical systemic disease who would be best served by palliative therapy. In locally advanced NSCLC, FDG PET/CT-based adaptive RT can be useful for quantifying reductions in target volume, which would allow the radiation dose to be escalated to the smaller target, and minimized to surrounding normal tissues, for the remainder of the treatment (78–81). However, FDG has some disadvantages. Although FDG PET/CT is sensitive for detecting inflammation, FDG is not disease-specific, thus, FDG produced false-positive in the differential diagnosis between inflammation/infection and tumor recurrence. Also, FDG tends to accumulate in the pericardium, pleura, salivary glands, eyelids, muscles, bone marrow, spleen, lymph nodes, joints, and major blood vessels (81, 82). With high background in these tissues, FDG produced false-negative results.
Optimal treatment planning also depends on the accurate staging and re-staging of intrathoracic (mediastinal) nodal status in NSCLC. For example, patients with NSCLC with no evidence of involvement of the ipsilateral mediastinal or subcarinal (N2) lymph nodes may be able to undergo surgical resection. Although the noninvasive nature of FDG-PET/CT is a major advantage for staging mediastinal disease, FDG is less optimal for detecting malignancy in normal‐sized lymph nodes and for ruling out malignancy in patients with coexisting inflammatory or infectious diseases (83–86). Although FDG-PET/CT can be used as a complement to examinations that show inconclusive results, its effectiveness and clinical benefit for patients with lymph node metastasis may be limited owing to its poor ability to distinguish inflammation from tumor recurrence. This feature may also be related to the subcellular distribution of FDG in the mitochondria and cytosol of cells (87, 88) and its inability to affect downstream transcriptional pathways. FDG complicates the distinction between lesions and background signal, which produces false-negative in myocardial imaging and false-positive in tumor staging and re-staging. These features, combined with an overall lack of specificity as a biomarker, impede the usefulness of FDG for identifying therapeutic response.
3.4.3. Hexosamine biosynthetic pathways (HBP) systems imaging: Tracers beyond FDG
Glycolysis is upregulated in inflammation and cancer. Its metabolic pathways also contribute substrates for lipogenesis and protein glycosylation by producing acetyl-CoA, meaning that other tracers can complement glycolysis-based PET imaging. Examples of such tracers include radiolabeled acetate and choline, for imaging elevated glycolysis and lipogenesis; radiolabeled misonidazole, fluoroazomycin arabinoside, pimonidazole, and integrins can visualize tissue hypoxia and angiogenesis during periods of elevated glycolysis. However, these agents, like FDG, cannot distinguish inflammation/infection from tumor recurrence. Thus, the ability to image steps in the glycosylation and hexosamine biosynthetic pathways may be a more effective alternative for the diagnosis and assessment of DNA-damage response in lung tumors as well as RT-induced cardiopulmonary toxicities.
Two sets of glucose transporters are involved in this process, sodium-coupled glucose transporters and glucose transporter facilitators (88). Under normal conditions, 95% of the energy produced by cells occurs through glycolysis, which takes place in the cytosol; FDG, glucose, and glucosamine all rely on glucose transporter 1 (GLUT1) 1 and GLUT3 in glucose pathway-directed systems. Notably, cells subjected to stress (as occurs in cancer) require greater amounts of glucose to sustain energy production, which prompts a shift from glycolysis to glycosylation in HBP systems (89). In the HBP, glutamine:fructose-6-phosphate amidotransferase (GFAT) uses the amide group of glutamine to convert fructose 6-phosphate to glucosamine 6-phosphate; hence the formation of hexosamine products requires a supply of both glucose and glutamine (90, 91). However, a subsequent product of this pathway, N-acetylglucosamine enters the cells directly and is phosphorylated at positions 1 and 6 immediately, as opposed to free glucosamine or glutamine, which is followed by phosphorylation and then acetylation. Phosphorylated N-acetylglucosamine interacts with uridine diphosphate (UDP) to form UDP−N-acetylglucosamine, followed by the activation of NFAT (nuclear factor of activated T cells) and O-linked N-acetylglucosamine transferase (OGT). The dynamic glycosylation of serine or threonine residues on nuclear and cytosolic proteins by OGT is abundant in all multicellular eukaryotes. OGT participates in post-translational modification of a large number of nucleocytoplasmic proteins (92–95). OGT activity is exquisitely responsive to intracellular UDP−N-acetylglucosamine and UDP concentrations, which are in turn highly sensitive to glucose concentrations and other stimuli. This phenomenon is dynamic and often occurs in response to different stimuli (stress, heat) in its ability to form an UDP−N-acetylglucosamine-NfKb conjugate for internalization by the cell nucleus (92). In the cell nucleus, the ubiquitous transcription factor Sp1 is extensively modified by OGT. Sp1 becomes hyperglycosylated in response to hyperglycemia or elevated glucosamine (83). Moreover, O-linked N-acetylglucosamine glycosylation is also linked to DNA chromosomal X-linked intellectual disability (96).
Analysis of SNV arrays has helped to clarify the crosstalk among cellular pathways of genes involved in inflammatory processes. For example, OGT regulates IL-6/STAT3 signaling pathways and interacts with nuclear proteins (glycosylation), which is thought to contribute to numerous cellular processes including cell metabolism, proliferation, and inflammation in lung cancer (97, 98). Elevated OGT levels also correlate with increased pro-inflammatory IL-17A cytokine secretion by murine and human CD4+ T cells (99).
The metabolic activity of tumor cells, as qualitatively measured by FDG-PET, has been linked with increases in the amount of glucose membrane transporters and the activity of the principal enzymes controlling the glycolytic pathways. However, both glucosamine and glucose share the same pathway(s). Although glucose shares only 4% of the hexosamine biosynthetic pathway, glucosamine has been shown to share approximately 96% of both the glycolytic/citric acid cycle (i.e., tricarboxylic acid or Krebs cycle) and the hexosamine pathways. Because glucosamine is involved not only in the hexosamine pathway but also in DNA proliferative activity, it becomes an attractive imaging agent for differential diagnosis in cancer.
To assess N-acetylglucosamine pathways in HBP systems, several chelators have been conjugated to glucosamine to trace glucose and glucosamine transport systems by SPECT/CT. These chelator-glucosamine conjugates include 99mTc-diethylenetriamine pentaacetate-glucosamine (DTPA-glucosamine) (100, 101), 99mTc-ethylenedicysteine-glucosamine (EC-G) (102–105) and 68Ga-EC-G (106). These conjugates mimic the structure of N-acetylglucosamine. 99mTc-DTPA-glucosamine had fast clearance in animal studies, its appearance in tumors was low (98). EC-G has two glucosamine moieties in the molecule (Figure 4). 99mTc-EC-G was able to measure DNA proliferation in lung cancer cells and image tumors in animal models (105, 106). During inflammatory processes, expression of glucose, glutamine, and GFAT is high to produce higher levels of N-acetylglucosamine. Clinical studies revealed that 99mTc-EC-G was safe and had favorable radiation dosimetry in NSCLC patients (104). 99mTc-EC-G was able to distinguish tumor from inflammation due to its downstream post-transcriptional HBP with DNA proliferation (104–108) (Figure 5). 99mTc-EC-G was not inferior to FDG for imaging in patients with NSCLC (102). The HBP is also activated under conditions of cellular oxidative stress such as myocardial ischemia. 99mTc-EC-G has been shown to enter the pathway and provide a means to image a prior episode of myocardial ischemia in animal models (109). Consequently, 99mTc-EC-G, a tumor-specific biomarker, may offer an alternative as a SPECT/CT agent for assessing dose-related RT-induced cardiopulmonary toxicities in NSCLC.
Figure 4 Structures of fluorodeoxyglucose (FDG), glucosamine and ethylenedicysteine-glucosamine (EC-G).
Figure 5 FDG is involved in glycolysis. EC-G has downstream to OGT glycosylation pathways. 99mTc-EC-G measures cell cycle progression in cancer.
4. Future perspectives
The benefits of high-dose RT for early-stage NSCLC have been well established, but, as discussed above, come at the potential risk of radiation-induced toxicity, chiefly pneumonitis and carditis. Radiation-induced cardiopulmonary toxicities were dose-limiting factors. One way of minimizing the risk of these potentially deadly side effects is the use of traditional (anatomic) imaging modalities to delineate the target volume (i.e., the gross tumor volume versus clinic tumor volume), and develop treatment plans based on those images to ensure that radiation to the target is maximized and that to the surrounding normal tissues is minimized. Use of serial imaging before each radiation fraction (as opposed to obtaining images only once, before treatment is begun) can help to address DNA-damage changes in tumor size and location as the treatment progresses, to continue to meet target and tissue dose limits. The addition of cellular imaging, for example by PET/CT or SPECT/CT, can help to refine target delineation by including information on cellular function status. Current knowledge of imaging pathways for glycosylation by 99mTc-EC-G is beyond glucose glycolysis by FDG as 99mTc-EC-G applies to the detection of tumor DNA proliferation, myocardial ischemia and minimization of RT-induced pneumonitis and myocardial injuries.
In addition to functional imaging, analysis of variants in the human genome can provide a reference for comparison with sequencing data. SNVs are the simplest form of DNA variation among individuals. SNVs can influence not only the amino acid sequences in the resultant proteins but also genetic stability, non-coding genes, the microenvironment, and the formation of intracellular fused proteins. Identification of new SNVs and the resultant allele(s) associated with known polymorphisms by direct DNA sequencing may reveal clues as to how an individual’s genetic makeup can predispose them to develop pneumonitis or carditis. As one example, functional SNVs in genes coding for inflammatory cytokines can influence the functions of those cytokines, which in turn can influence the host reaction to malignancy, infection, and inflammation. Immune cytokines such as interleukin-6 (IL-6) and interleukin (IL-17) also participate in T-cell–mediated inflammatory processes. Using an integrated approach in which traditional imaging and dose-volume analyses are combined with analysis of immune cytokine patterns, SNV sequences, and shifts in HBP systems imaging will help to customize adaptive dose escalation to residual active tumor regions and, ultimately, to reduce the incidence of RT-induced pneumonitis and carditis.
5. Conclusions
Radiotherapy for locally advanced NSCLC confers a risk of pneumonitis and myocardial injury, which directly affect treatment outcomes, including quality of life and overall survival. Proton therapy can minimize RT-induced pneumonitis and myocardial injury, which can confer benefit in response and prolong survival in comparison with conventional X-ray radiotherapy. Use of radiolabeled ligands, radiolabeled antibodies, and signal transduction agents in imaging has opened a new era for evaluating pathway-directed processes. The application of hybrid imaging instrument (PET and SPECT hybrid with CT and MRI) can improve the differential diagnosis by enhancing specificity, correcting for attenuation, and [sharpening] localization. The focus of cellular imaging agent has shifted to predicting therapeutic response, differential diagnosis, and monitoring tumor response. Both FDG and 99mTc-EC-G are suitable for initial diagnosis (baseline) prior to RT-induced cardiopulmonary toxicities. The areas of tumor and predisposed tissue injuries in non-small cell lung cancer (NSCLC) could be quantified by the uptake of radiopharmaceuticals. Owing to the lack of specificity by FDG, 99mTc-EC-G may be an alternative radiopharmaceutical for repeated imaging of tumor DNA-damage response via HBP at post-treatment. The dose-volume histogram metrics measured by 99mTc-EC-G with the correlative analyses of IL-6, IL-17, OGT and SNVs of HBP have potential to overcome heterogeneity of the tumor, and tumor location as well as derive an accurate radiation dose limits to reduce the risk of RT-induced cardiopulmonary toxicities. The integrated assessments of cytokine phenotype patterns, genotype SNVs and imaging findings will help to personalize radiation therapy in terms of radiation dose, reduce adverse events by detecting time to cardiopulmonary toxicities in response to radiation, and optimize treatment outcomes.
Author contributions
ZL designed the content of manuscript. YM-S and DY searched articles relating to the subject and wrote the manuscript under ZL and TI’s supervision. ZL and TI helped in final editing. All authors contributed to the article and approved the submitted version.
Funding
Supported in part by Cancer Center Support (Core) Grant P30 CA016672 from the National Cancer Institute, National Institutes of Health, to The University of Texas MD Anderson Cancer Center (PI P.W. Pisters).
Acknowledgments
The authors wish to thank Cell>Point (Spring, CO) for providing a sponsored research grant on technology licensed from The University of Texas MD Anderson Cancer Center (Houston, TX). The authors also wish to thank Ms. Makiko Wada for her secretarial support in the preparation of this manuscript.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Glossary
References
1. Parashar B, Arora S, Wernicke AG. Radiation therapy for early-stage lung cancer. Semin Intervent Radiol (2013) 30(2):185–90. doi: 10.1055/s-0033-1342960
2. Dang J, Li G, Ma L, Diao R, Zang S, Han C, et al. Predictors of grade ≥ 2 and grade ≥ 3 radiation pneumonitis in patients with locally advanced non-small cell lung cancer treated with three-dimensional conformal radiotherapy. Acta Oncol (2013) 52(6):1175–80. doi: 10.3109/0284186X.2012.747696
3. Fay M, Tan A, Fisher R, Mac Manus M, Wirth A, Ball D. Dose-volume histogram analysis as predictor of radiation pneumonitis in primary lung cancer patients treated with radiotherapy. Int J Radiat Oncol Biol Phys (2005) 61(5):1355–63. doi: 10.1016/j.ijrobp.2004.08.025
4. Ma L, Men Y, Feng L, Kang J, Sun X, Yuan M, et al. A current review of dose-escalated radiotherapy in locally advanced non-small cell lung cancer. Radiol Oncol (2019) 53(1):6–14. doi: 10.2478/raon-2019-0006
5. Palma DA, Senan S, Tsujino K, Barriger RB, Rengan R, Moreno M, et al. Predicting radiation pneumonitis after chemoradiation therapy for lung cancer: an international individual patient data meta-analysis. Int J Radiat Oncol Biol Phys (2013) 85(2):444–50. doi: 10.1016/j.ijrobp.2012.04.043
6. Tsujino K, Hirota S, Endo M, Obayashi K, Kotani Y, Satouchi M, et al. Predictive value of dose-volume histogram parameters for predicting radiation pneumonitis after concurrent chemoradiation for lung cancer. Int J Radiat Oncol Biol Phys (2003) 55(1):110–5. doi: 10.1016/s0360-3016(02)03807-5
7. Vogelius IR, Bentzen SM. A literature-based meta-analysis of clinical risk factors for development of radiation induced pneumonitis. Acta Oncol (2012) 51(8):975–83. doi: 10.3109/0284186X.2012.718093
8. Marks LB, Bentzen SM, Deasy JO, Kong FM, Bradley JD, Vogelius IS, et al. Radiation dose-volume effects in the lung. Int J Radiat Oncol Biol Phys (2010) 76(3 Suppl):S70–6. doi: 10.1016/j.ijrobp.2009.06.091
9. Schaake-Koning C, van den Bogaert W, Dalesio O, Festen J, Hoogenhout J, van Houtte P, et al. Effects of concomitant cisplatin and radiotherapy on inoperable non-small-cell lung cancer. N Engl J Med (1992) 326(8):524–30. doi: 10.1056/NEJM199202203260805
10. Arrieta O, Gallardo-Rincón D, Villarreal-Garza C, Michel RM, Astorga-Ramos AM, Martínez-Barrera L, et al. High frequency of radiation pneumonitis in patients with locally advanced non-small cell lung cancer treated with concurrent radiotherapy and gemcitabine after induction with gemcitabine and carboplatin. J Thorac Oncol (2009) 4(7):845–52. doi: 10.1097/JTO.0b013e3181a97e17
11. Vinogradskiy Y, Tucker SL, Bluett JB, Wages CA, Liao Z, Martel MK. Prescribing radiation dose to lung cancer patients based on personalized toxicity estimates. J Thorac Oncol (2012) 7(11):1676–82. doi: 10.1097/JTO.0b013e318269410a
12. Yuan X, Liao Z, Liu Z, Wang LE, Tucker SL, Mao L, et al. Single nucleotide polymorphism at rs1982073:T869C of the TGFbeta 1 gene is associated with the risk of radiation pneumonitis in patients with non-small-cell lung cancer treated with definitive radiotherapy. J Clin Oncol (2009) 27(20):3370–8. doi: 10.1200/JCO.2008.20.6763
13. Tucker SL, Li M, Xu T, Gomez D, Yuan X, Yu J, et al. Incorporating single-nucleotide polymorphisms into the Lyman model to improve prediction of radiation pneumonitis. Int J Radiat Oncol Biol Phys (2013) 85(1):251–7. doi: 10.1016/j.ijrobp.2012.02.021
14. Guo CX, Wang J, Huang LH, Li JG, Chen X. Impact of single-nucleotide polymorphisms on radiation pneumonitis in cancer patients. Mol Clin Oncol (2016) 4(1):3–10. doi: 10.3892/mco.2015.666
15. Huang Q, Xie F, Ouyang X. Predictive SNPs for radiation-induced damage in lung cancer patients with radiotherapy: a potential strategy to individualize treatment. Int J Biol Markers (2015) 30(1):e1–11. doi: 10.5301/jbm.5000108
16. Lierova A, Jelicova M, Nemcova M, Proksova M, Pejchal J, Zarybnicka L, et al. Cytokines and radiation-induced pulmonary injuries. J Radiat Res (2018) 59(6):709–53. doi: 10.1093/jrr/rry067
17. Tsoutsou PG, Koukourakis MI. Radiation pneumonitis and fibrosis: mechanisms underlying its pathogenesis and implications for future research. Int J Radiat Oncol Biol Phys (2006) 66(5):1281–93. doi: 10.1016/j.ijrobp.2006.08.058
18. Helber HA, Hada AL, Pio RB, Moraes PHZ, Gomes DBD. Immunotherapy-induced pneumonitis: cases report. Einstein (Sao Paulo) (2018) 16(2):eRC4030. doi: 10.1590/S1679-45082018RC4030
19. Rahi MS, Parekh J, Pednekar P, Parmar G, Abraham S, Nasir S, et al. Radiation-induced lung injury-current perspectives and management. Clin Pract (2021) 11(3):410–29. doi: 10.3390/clinpract11030056
20. Giuranno L, Ient J, De Ruysscher D, Vooijs MA. Radiation-induced lung injury (RILI). Front Oncol (2019) 9:877. doi: 10.3389/fonc.2019.00877
21. Hanania AN, Mainwaring W, Ghebre YT, Hanania NA, Ludwig M. Radiation-induced lung injury: Assessment and management. Chest (2019) 156(1):150–62. doi: 10.1016/j.chest.2019.03.033
22. Ghobadi G, van der Veen S, Bartelds B, de Boer RA, Dickinson MG, de Jong JR, et al. Physiological interaction of heart and lung in thoracic irradiation. Int J Radiat Oncol Biol Phys (2012) 84(5):e639–46. doi: 10.1016/j.ijrobp.2012.07.2362
23. Huang EX, Hope AJ, Lindsay PE, Trovo M, El Naqa I, Deasy JO, et al. Heart irradiation as a risk factor for radiation pneumonitis. Acta Oncol (2011) 50(1):51–60. doi: 10.3109/0284186X.2010.521192
24. van Luijk P, Faber H, Meertens H, Schippers JM, Langendijk JA, Brandenburg S, et al. The impact of heart irradiation on dose-volume effects in the rat lung. Int J Radiat Oncol Biol Phys (2007) 69(2):552–9. doi: 10.1016/j.ijrobp.2007.05.065
25. Tomita N, Okuda K, Ogawa Y, Iida M, Eguchi Y, Kitagawa Y, et al. Relationship between radiation doses to heart substructures and radiation pneumonitis in patients with thymic epithelial tumors. Sci Rep (2020) 10(1):11191. doi: 10.1038/s41598-020-68168-y
26. Tucker SL, Liao Z, Dinh J, Bian SX, Mohan R, Martel MK, et al. Is there an impact of heart exposure on the incidence of radiation pneumonitis? analysis of data from a large clinical cohort. Acta Oncol (2014) 53(5):590–6. doi: 10.3109/0284186X.2013.831185
27. Kim SR, Hong JH, Sung SY, Kim YH, Chun SH, Lee HW, et al. Efficacy of concurrent chemoradiotherapy for patients with limited-disease small-cell lung cancer: a retrospective, nationwide, population-based cohort study. BMC Cancer (2021) 21:340. doi: 10.1186/s12885-021-08082-2
28. Noronha V, Sekhar A, Patil VM, Menon N, Joshi A, Kapoor A, et al. Systemic therapy for limited stage small cell lung carcinoma. J Thorac Dis (2020) 12(10):6275–90. doi: 10.21037/jtd-2019-sclc-11
29. Hitawala G, Jain E, Castellanos L, Garimella R, Akku R, Chamavaliyathil AK, et al. Pediatric chemotherapy drugs associated with cardiotoxicity. Cureus (2021) 13(11):e19658. doi: 10.7759/cureus.19658
30. Shrishrimal S, Kosmacek EA, Oberley-Deegan RE. Reactive oxygen species drive epigenetic changes in radiation-induced fibrosis. Oxid Med Cell Longev (2019) 2019:4278658. doi: 10.1155/2019/4278658
31. Zanoni M, Cortesi M, Zamagni A, Tesei A. The role of mesenchymal stem cells in radiation-induced lung fibrosis. Int J Mol Sci (2019) 20(16):3876. doi: 10.3390/ijms20163876
32. Khalil H, Kanisicak O, Prasad V, Correll RN, Fu X, Schips T, et al. Fibroblast-specific TGF-beta-Smad2/3 signaling underlies cardiac fibrosis. J Clin Investig (2017) 127(10):3770–83. doi: 10.1172/JCI94753
33. Kai H, Mori T, Tokuda K, Takayama N, Tahara N, Takemiya K, et al. Pressure overload-induced transient oxidative stress mediates perivascular inflammation and cardiac fibrosis through angiotensin II. Hypertens Res (2006) 29(9):711–8. doi: 10.1291/hypres.29.711
34. Madan R, Benson R, Sharma DN, Julka PK, Rath GK. Radiation induced heart disease: Pathogenesis, management and review literature. J Egypt Natl Canc Inst (2015) 27(4):187–93. doi: 10.1016/j.jnci.2015.07.005
35. Sallam M, Benotmane MA, Baatout S, Guns PJ, Aerts A. Radiation-induced cardiovascular disease: an overlooked role for DNA methylation? Epigenetics (2022) 17(1):59–80. doi: 10.1080/15592294.2021.1873628
36. Wang B, Wang H, Zhang M, Ji R, Wei J, Xin Y, et al. Radiation-induced myocardial fibrosis: Mechanisms underlying its pathogenesis and therapeutic strategies. J Cell Mol Med (2020) 24(14):7717–29. doi: 10.1111/jcmm.15479
37. Huang E, Peng N, Xiao F, Hu D, Wang X, Lu L. The roles of immune cells in the pathogenesis of fibrosis. Int J Mol Sci. (2020) 21(15):5203. doi: 10.3390/ijms21155203
38. Dendorfer U. Molecular biology of cytokines. Artif Organs (1996) 20:437–44. doi: 10.1111/j.1525-1594.1996.tb04529.x
39. Chen Y, Williams J, Ding I, Hernady E, Liu W, Smudzin T, et al. Radiation pneumonitis and early circulatory cytokine markers. Semin Radiat Oncol (2002) 12(1 Suppl 1):26–33. doi: 10.1053/srao.2002.31360
40. Kainthola A, Haritwal T, Tiwari M, Gupta N, Parvez S, Tiwari M, et al. Immunological aspect of radiation-induced pneumonitis, current treatment strategies, and future prospects. Front Immunol (2017) 8:506. doi: 10.3389/fimmu.2017.00506
41. Mah K, Van Dyk J, Keane T, Poon PY. Acute radiation-induced pulmonary damage: a clinical study on the response to fractionated radiation therapy. Int J Radiat Oncol Biol Phys (1987) 13:179–88. doi: 10.1016/0360-3016(87)90125-8
42. Wang H, Wei J, Zheng Q, Meng L, Xin Y, Yin X, et al. Radiation-induced heart disease: a review of classification, mechanism and prevention. Int J Biol Sci (2019) 15(10):2128–38. doi: 10.7150/ijbs.35460
43. Yusuf SW, Venkatesulu BP, Mahadevan LS, Krishnan S. Radiation-induced cardiovascular disease: A clinical perspective. Front Cardiovasc Med (2017) 4:66. doi: 10.3389/fcvm.2017.00066
44. Wei T, Cheng Y. The cardiac toxicity of radiotherapy - a review of characteristics, mechanisms, diagnosis, and prevention. Int J Radiat Biol (2021) 97(10):1333–40. doi: 10.1080/09553002.2021.1956007
45. Rose-John S, Scheller J, Elson G, Jones SA. Interleukin-6 biology is coordinated by membrane-bound and soluble receptors: role in inflammation and cancer. J Leukoc Biol (2006) 80:227–36. doi: 10.1189/jlb.1105674
46. Dittrich A, Hessenkemper W, Schaper F. Systems biology of IL-6, IL-12 family cytokines. Cytokine Growth Factor Rev (2015) 26:595–602. doi: 10.1016/j.cytogfr.2015.07.002
47. Arpin D, Perol D, Blay JY, Falchero L, Claude L, Vuillermoz-Blas S, et al. Early variations of circulating interleukin-6 and interleukin-10 levels during thoracic radiotherapy are predictive for radiation pneumonitis. J Clin Oncol (2005) 23(34):8748–56. doi: 10.1200/JCO.2005.01.7145
48. Ping Z, Peng Y, Lang H, Xinyong C, Zhiyi Z, Xiaocheng W, et al. Oxidative stress in radiation-induced cardiotoxicity. Oxid Med Cell Longev (2020) 2020:3579143. doi: 10.1155/2020/3579143
49. Wang LP, Wang YW, Wang BZ, Sun GM, Wang XY, Xu JL. Expression of interleukin-17A in lung tissues of irradiated mice and the influence of dexamethasone. Sci World J (2014) 2014:251067. doi: 10.1155/2014/251067
50. Du J, Han JC, Zhang YJ, Qi GB, Li HB, Zhang YJ, et al. Single-nucleotide polymorphisms of IL-17 gene are associated with asthma susceptibility in an Asian population. Med Sci Monit (2016) 22:780–7. doi: 10.12659/msm.895494
51. Keshavarz M, Namdari H, Farahmand M, Mehrbod P, Mokhtari-Azad T, Rezaei F. Association of polymorphisms in inflammatory cytokines encoding genes with severe cases of influenza A/H1N1 and b in an Iranian population. Virol J (2019) 16(1):79. doi: 10.1186/s12985-019-1187-8
52. Hein TM, Sander P, Giryes A, Reinhardt JO, Hoegel J, Schneider EM. Cytokine expression patterns and single nucleotide polymorphisms (SNPs) in patients with chronic borreliosis. Antibiotics (Basel) (2019) 8(3):107. doi: 10.3390/antibiotics8030107
53. Morisset J, Johannson KA, Jones KD, Wolters PJ, Collard HR, Walsh SLF, et al. Identification of diagnostic criteria for chronic hypersensitivity pneumonitis: An international modified Delphi survey. Am J Respir Crit Care Med (2018) 197(8):1036–44. doi: 10.1164/rccm.201710-1986OC
54. Buerkle A, Weber WA. Imaging of tumor glucose utilization with positron emission tomography. Cancer Metastasis Rev (2008) 27:545–54. doi: 10.1007/s10555-008-9151-x
55. Delbeke D, Coleman RE, Guiberteau MJ, Brown ML, Royal HD, Siegel BA, et al. Procedure guideline for tumor imaging with 18F-FDG PET/CT. J Nucl Med (2006) 47(5):885–95.
57. Schechter NR, Wendt RE 3rd, Yang DJ, Azhdarinia A, Erwin WD, Stachowiak AM, et al. Radiation dosimetry of 99mTc-labeled C225 in patients with squamous cell carcinoma of the head and neck. J Nucl Med (2004) 45(10):1683–7.
58. Shi J, Wang F, Liu S. Radiolabeled cyclic RGD peptides as radiotracers for tumor imaging. Biophys Rep (2016) 2(1):1–20. doi: 10.1007/s41048-016-0021-8
59. Rainer E, Wang H, Traub-Weidinger T, Widhalm G, Fueger B, Chang J, et al. The prognostic value of [123I]-vascular endothelial growth factor ([123I]-VEGF) in glioma. Eur J Nucl Med Mol Imaging (2018) 45(13):2396–403. doi: 10.1007/s00259-018-4088-y
60. Tan H, Zhou J, Yang X, Abudupataer M, Li X, Hu Y, et al. 99mTc-labeled bevacizumab for detecting atherosclerotic plaque linked to plaque neovascularization and monitoring antiangiogenic effects of atorvastatin treatment in ApoE-/- mice. Sci Rep (2017) 7(1):3504. doi: 10.1038/s41598-017-03276-w
61. Watanabe S, Inoue T, Okamoto S, Magota K, Takayanagi A, Sakakibara-Konishi J, et al. Combination of FDG-PET and FMISO-PET as a treatment strategy for patients undergoing early-stage NSCLC stereotactic radiotherapy. EJNMMI Res (2019) 9(1):104. doi: 10.1186/s13550-019-0578-6
62. Ito M, Yang DJ, Mawlawi O, Mendez R, Oh CS, Azhdarinia A, et al. PET and planar imaging of tumor hypoxia with labeled metronidazole. Acad Radiol (2006) 13(5):598–609. doi: 10.1016/j.acra.2006.01.007
63. Song HC, Bom HS, Cho KH, Kim BC, Seo JJ, Kim CG, et al. Prognostication of recovery in patients with acute ischemic stroke through the use of brain SPECT with 99mTc-labeled metronidazole. Stroke (2003) 34(4):982–6. doi: 10.1161/01.STR.0000062902.94892.F5
64. Kurihara H, Yang DJ, Cristofanilli M, Erwin WD, Yu DF, Kohanim S, et al. Imaging and dosimetry of 99mTc EC annexin V: preliminary clinical study targeting apoptosis in breast tumors. Appl Radiat Isot (2008) 66(9):1175–82. doi: 10.1016/j.apradiso.2008.01.012
65. Vriens PW, Blankenberg FG, Stoot JH, Ohtsuki K, Berry GJ, Tait JF, et al. The use of technetium Tc 99m annexin V for in vivo imaging of apoptosis during cardiac allograft rejection. J Thorac Cardiovasc Surg (1998) 116(5):844–53. doi: 10.1016/s0022-5223(98)00446-2
66. Baum RP, Schuchardt C, Singh A, Chantadisai M, Robiller FC, Zhang J, et al. Feasibility, biodistribution, and preliminary dosimetry in peptide-targeted radionuclide therapy of diverse adenocarcinomas using 177Lu-FAP-2286: First-in-Humans results. J Nucl Med (2022) 63(3):415–23. doi: 10.2967/jnumed.120.259192
67. Zhao L, Chen J, Pang Y, Fu K, Shang Q, Wu H, et al. Fibroblast activation protein-based theranostics in cancer research: A state-of-the-art review. Theranostics (2022) 12(4):1557–69. doi: 10.7150/thno.69475
68. Liu FY, Sheng TW, Tseng JR, Yu KJ, Tsui KH, Pang ST, et al. Prostate-specific membrane antigen (PSMA) fusion imaging in prostate cancer: PET-CT vs PET-MRI. Br J Radiol (2022) 95(1131):20210728. doi: 10.1259/bjr.20210728
69. Tsechelidis I, Vrachimis A. PSMA PET in imaging prostate cancer. Front Oncol (2022) 12:831429. doi: 10.3389/fonc.2022.831429
70. Shih MC, Simon SD, Jin Z, Gui Y, Xu B, Xu Z, et al. Efficient synthesis of glutamate peptide-estradiol conjugate for imaging estrogen receptor-positive diseases. BioMed Res Int (2018) 2018:5208964. doi: 10.1155/2018/5208964
71. Zhou M, Leung A, Echegaray S, Gentles A, Shrager JB, Jensen KC, et al. Non-small cell lung cancer radiogenomics map identifies relationships between molecular and imaging phenotypes with prognostic implications. Radiology (2018) 286(1):307–15. doi: 10.1148/radiol.2017161845
72. Wu JY, Yang DJ, Angelo LS, Kohanim S, Kurzrock R. Molecular imaging of bcr-abl phosphokinase in a xenograft model. Mol Cancer Ther (2009) 8(3):703–10. doi: 10.1158/1535-7163.MCT-08-0656
73. Xiang ZL, Erasmus J, Komaki R, Cox JD, Chang JY. FDG uptake correlates with recurrence and survival after treatment of unresectable stage III non-small cell lung cancer with high-dose proton therapy and chemotherapy. Radiat Oncol (2012) 7:144. doi: 10.1186/1748-717X-7-144
74. Li X, Rosenkrans ZT, Wang J, Cai W. PET imaging of macrophages in cardiovascular diseases. Am J Transl Res (2020) 12(5):1491–514.
75. Reddy AS, Uceda DE, Al Najafi M, Dey AK, Mehta NN. PET scan with Fludeoxyglucose/Computed tomography in low-grade vascular inflammation. PET Clin (2020) 15(2):207–13. doi: 10.1016/j.cpet.2019.11.009
76. Unterrainer M, Eze C, Ilhan H, Marschner S, Roengvoraphoj O, Schmidt-Hegemann NS, et al. Recent advances of PET imaging in clinical radiation oncology. Radiat Oncol (2020) 15(1):88. doi: 10.1186/s13014-020-01519-1
77. Yang WC, Hsu FM, Yang PC. Precision radiotherapy for non-small cell lung cancer. J BioMed Sci (2020) 27(1):82. doi: 10.1186/s12929-020-00676-5
78. Castillo R, Pham N, Ansari S, Meshkov D, Castillo S, Li M, et al. Pre-radiotherapy FDG PET predicts radiation pneumonitis in lung cancer. Radiat Oncol (2014) 9:74. doi: 10.1186/1748-717X-9-74
79. Ganem J, Thureau S, Gardin I, Modzelewski R, Hapdey S, Vera P. Delineation of lung cancer with FDG PET/CT during radiation therapy. Radiat Oncol (2018) 13(1):219. doi: 10.1186/s13014-018-1163-2
80. Kong FM, Zhao J, Wang J, Faivre-Finn C. Radiation dose effect in locally advanced non-small cell lung cancer. J Thorac Dis (2014) 6(4):336–47. doi: 10.3978/j.issn.2072-1439.2014.01.23
81. Chang JM, Lee HJ, Goo JM, Lee HY, Lee JJ, Chung JK, et al. False positive and false negative FDG-PET scans in various thoracic diseases. Korean J Radiol (2006) 7(1):57–69. doi: 10.3348/kjr.2006.7.1.57
82. Yoo DH. Utility and drawbacks of [18]F-fluorodeoxyglucose positron emission tomography in the evaluation of adult-onset still's disease. Korean J Intern Med (2017) 32(6):998–1001. doi: 10.3904/kjim.2017.342
83. Martineau P, Grégoire J, Harel F, Pelletier-Galarneau M. Assessing cardiovascular infection and inflammation with FDG-PET. Am J Nucl Med Mol Imaging (2021) 11(1):46–58.
84. Carvalho S, Leijenaar RTH, Troost EGC, van Timmeren JE, Oberije C, van Elmpt W, et al. 18F-fluorodeoxyglucose positron-emission tomography (FDG-PET)-Radiomics of metastatic lymph nodes and primary tumor in non-small cell lung cancer (NSCLC) - a prospective externally validated study. PloS One (2018) 13(3):e0192859. doi: 10.1371/journal.pone.0192859
85. Yu Q, Wang Y, Dong L, He Y, Liu R, Yang Q, et al. Regulations of glycolytic activities on macrophages functions in tumor and infectious inflammation. Front Cell Infect Microbiol (2020) 10:287. doi: 10.3389/fcimb.2020.00287
86. Schmidt-Hansen M, Baldwin DR, Hasler E, Zamora J, Abraira V, Roqué I Figuls M. PET-CT for assessing mediastinal lymph node involvement in patients with suspected resectable non-small cell lung cancer. Cochrane Database Syst Rev (2014) 2014(11):CD009519. doi: 10.1002/14651858.CD009519.pub2
87. Fang J, Luo XM, Yao HT, Zhou SH, Ruan LX, Yan SX. Expression of glucose transporter-1, hypoxia-inducible factor-1α, phosphatidylinositol 3-kinase and protein kinase b (Akt) in relation to 18F-fluorodeoxyglucose uptake in nasopharyngeal diffuse large b-cell lymphoma: a case report and literature review. J Int Med Res (2010) 38(6):2160–8. doi: 10.1177/147323001003800632
88. Scheepers A, Joost HG, Schürmann A. The glucose transporter families SGLT and GLUT: molecular basis of normal and aberrant function. JPEN J Parenter Enteral Nutr (2004) 28(5):364–71. doi: 10.1177/0148607104028005364
89. Marshall S, Bacote V, Traxinger RR. Discovery of a metabolic pathway mediating glucose-induced desensitization of the glucose transport system. J Biol Chem (1991) 266:4706–12. doi: 10.1016/S0021-9258(19)67706-9
90. Butkinaree C, Park K, Hart GW. O-Linked beta-n-acetylglucosamine (O-GlcNAc): Extensive crosstalk with phosphorylation to regulate signaling and transcription in response to nutrients and stress. Biochim Biophys Acta (2010) 1800(2):96–106. doi: 10.1016/j.bbagen.2009.07.018
91. Black AR, Black JD, Azizkhan-Clifford J. Sp1 and krüppel-like factor family of transcription factors in cell growth regulation and cancer. J Cell Physiol (2001) 188(2):143–60. doi: 10.1002/jcp.1111
92. Hart GW, Slawson C, Ramirez-Correa G, Lagerlof O. Cross talk between O-GlcNAcylation and phosphorylation: roles in signaling, transcription, and chronic disease. Annu Rev Biochem (2011) 80:825–58. doi: 10.1146/annurev-biochem-060608-102511
93. Li Y, Xie M, Men L, Du J. O-GlcNAcylation in immunity and inflammation: An intricate system (Review). Int J Mol Med (2019) 44(2):363–74. doi: 10.3892/ijmm.2019.4238
94. Pham LV, Bryant JL, Mendez R, Chen J, Tamayo AT, Xu-Monette ZY, et al. Targeting the hexosamine biosynthetic pathway and O-linked n-acetylglucosamine cycling for therapeutic and imaging capabilities in diffuse large b-cell lymphoma. Oncotarget (2016) 7(49):80599–611. doi: 10.18632/oncotarget.12413
95. Wells L, Gao Y, Mahoney JA, Vosseller K, Chen C, Rosen A, et al. Dynamic O-glycosylation of nuclear and cytosolic proteins: further characterization of the nucleocytoplasmic beta-n-acetylglucosaminidase, O-GlcNAcase. J Biol Chem (2002) 277(3):1755–61. doi: 10.1074/jbc.m109656200
96. Konzman D, Abramowitz LK, Steenackers A, Mukherjee MM, Na HJ, Hanover JA. O-GlcNAc: Regulator of signaling and epigenetics linked to X-linked intellectual disability. Front Genet (2020) 11:605263. doi: 10.3389/fgene.2020.605263
97. Ge X, Peng X, Li M, Ji F, Chen J, Zhang D. OGT regulated O-GlcNacylation promotes migration and invasion by activating IL-6/STAT3 signaling in NSCLC cells. Pathol Res Pract (2021) 225:153580. doi: 10.1016/j.prp.2021.153580
98. Krick S, Helton ES, Hutcheson SB, Blumhof S, Garth JM, Denson RS, et al. FGF23 induction of O-linked n-acetylglucosamine regulates IL-6 secretion in human bronchial epithelial cells. Front Endocrinol (Lausanne) (2018) 9:708. doi: 10.3389/fendo.2018.00708
99. Machacek M, Saunders H, Zhang Z, Tan EP, Li J, Li T, et al. Elevated O-GlcNAcylation enhances pro-inflammatory Th17 function by altering the intracellular lipid microenvironment. J Biol Chem (2019) 294(22):8973–90. doi: 10.1074/jbc.RA119.008373
100. Chen Y, Huang ZW, He L, Zheng SL, Li JL, Qin DL. Synthesis and evaluation of a technetium-99m-labeled diethylenetriaminepentaacetate-deoxyglucose complex ([99mTc]-DTPA-DG) as a potential imaging modality for tumors. Appl Radiat Isot (2006) 64(3):342–7. doi: 10.1016/j.apradiso.2005.08.004
101. Liang J, Chen Y, Huang Z, Zhao Y, He L. Early chemotherapy response evaluation in tumors by 99mTc-DTPA-DG. Cancer Biother Radiopharm (2008) 23(3):363–70. doi: 10.1089/cbr.2007.0446
102. Dai D, Rollo FD, Bryant J, Kim EE. Noninferiority of 99mTc-Ethylenedicysteine-Glucosamine as an alternative analogue to 18F-fluorodeoxyglucose in the detection and staging of non-small cell lung cancer. Contrast Media Mol Imaging (2018) 2018:8969714. doi: 10.1155/2018/8969714
103. Manolios N, Ali M, Camden B, Aflaky E, Pavic K, Markewycz A, et al. Evaluating disease activity in patients with ankylosing spondylitis and rheumatoid arthritis using 99mTc-glucosamine. Eur J Rheumatol (2016) 3(2):65–72. doi: 10.5152/eurjrheum.2016.15074
104. Schechter NR, Erwin WD, Yang DJ, Kim EE, Munden RF, Forster K, et al. Radiation dosimetry and biodistribution of 99mTc-ethylene dicysteine-deoxyglucose in patients with non-small-cell lung cancer. Eur J Nucl Med Mol Imaging (2009) 36(10):1583–91. doi: 10.1007/s00259-009-1135-8
105. Yang DJ, Kim CG, Schechter NR, Azhdarinia A, Yu DF, Oh CS, et al. Imaging with 99mTc ECDG targeted at the multifunctional glucose transport system: feasibility study with rodents. Radiology (2003) 226(2):465–73. doi: 10.1148/radiol.2262011811
106. Zhang YH, Bryant J, Kong FL, Yu DF, Mendez R, Kim EE, et al. Molecular imaging of mesothelioma with 99mTc-ECG and 68Ga-ECG. J BioMed Biotechnol (2012) 2012:232863. doi: 10.1155/2012/232863
107. Yang D, Yukihiro M, Yu DF, Ito M, Oh CS, Kohanim S, et al. Assessment of therapeutic tumor response using 99mTc-ethylenedicysteine-glucosamine. Cancer Biother Radiopharm (2004) 19(4):443–56. doi: 10.1089/cbr.2004.19.443
108. Yang DJ, Kong FL, Oka T, Bryant JL. Molecular imaging kits for hexosamine biosynthetic pathway in oncology. Curr Med Chem (2012) 19(20):3310–4. doi: 10.2174/092986712801215900
Keywords: radiation therapy, carditis, pneumonitis, glucosamine imaging, cytokine, SNV, SNP
Citation: Mukai-Sasaki Y, Liao Z, Yang D and Inoue T (2022) Modulators of radiation-induced cardiopulmonary toxicities for non-small cell lung cancer: Integrated cytokines, single nucleotide variants, and HBP systems imaging. Front. Oncol. 12:984364. doi: 10.3389/fonc.2022.984364
Received: 01 July 2022; Accepted: 21 November 2022;
Published: 15 December 2022.
Edited by:
Luciano Mutti, Temple University, United StatesReviewed by:
Michele Zanoni, Scientific Institute of Romagna for the Study and Treatment of Tumors (IRCCS), ItalyGülnihan Kupik, Muğla Sıtkı Koçman University, Turkey
Copyright © 2022 Mukai-Sasaki, Liao, Yang and Inoue. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Yuki Mukai-Sasaki, YSasaki1@mdanderson.org