- 1Department of Endocrinology and Ophthalmology, Jiangxi Center of National Ocular Disease Clinical Research Center, The First Affiliated Hospital of Nanchang University, Nanchang, China
- 2Department of Oncology, The Affiliated Zhuzhou Hospital Xiangya Medical College, Central South University, Zhuzhou, China
- 3Fujian Provincial Key Laboratory of Ophthalmology and Visual Science, Medical College, Eye Institute of Xiamen University, Xiamen, China
- 4Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, United States
Purpose: To detect lung metastases, we conducted a retrospective study to improve patient prognosis.
Methods: Hypertension patients with ocular metastases (OM group; n = 58) and without metastases (NM group; n = 1,217) were selected from individuals with lung cancer admitted to our hospital from April 2005 to October 2019. The clinical characteristics were compared by Student's t-test and chi-square test. Independent risk factors were identified by binary logistic regression, and their diagnostic value evaluated by receiver operating characteristic curve analysis.
Results: Age and sex did not differ significantly between OM and NM groups; There were significant differences in pathological type and treatment. Adenocarcinoma was the main pathological type in the OM group (67.24%), while squamous cell carcinoma was the largest proportion (46.43%) in the NM group, followed by adenocarcinoma (34.10%). The OM group were treated with chemotherapy (55.17%), while the NM group received both chemotherapy (39.93%) and surgical treatment (37.06%). Significant differences were detected in the concentrations of cancer antigen (CA)−125, CA-199, CA-153, alpha fetoprotein (AFP), carcinoembryonic antigen (CEA), cytokeratin fraction 21-1 (CYFRA21-1), total prostate-specific antigen, alkaline phosphatase, and hemoglobin (Student's t-test). Binary logistic regression analysis indicated that CA-199, CA-153, AFP, CEA, and CYRFA21-1 were independent risk factors for lung cancer metastasis. AFP (98.3%) and CEA (89.3%) exhibited the highest sensitivity and specificity, respectively, while CYRFA21-1 had the highest area under the ROC curve value (0.875), with sensitivity and specificity values of 77.6 and 87.0%, respectively. Hence, CYFRA21-1 had the best diagnostic value.
Introduction
Among neoplastic diseases, lung cancer is the leading global cause of death in males and, for women in developed countries, mortality rates from lung cancer have now overtaken those from breast cancer (1). In recent years, the incidence of lung cancer has risen steeply in hypertension population, especially in people aged 50–70 (2). Previous experimental studies have shown that the efficacy of patients with non-small cell lung cancer during drug treatment is closely related to the risk of hypertension, confirming that early monitoring and management of hypertension may be an important step in the treatment of lung cancer (3). According to histological type, lung cancer can be classified as non-small cell lung cancer (NSCLC) (approximately 85%) and small cell lung cancer (SCLC) (approximately 15%) (4). NSCLC can be further subdivided into adenocarcinoma, squamous cell carcinoma, large cell carcinoma, and non-specific tumor type (5). Surgery is the preferred option to treat NSCLC (6); however, SCLC is conventionally treated using radiotherapy and chemotherapy (7). Most patients diagnosed with lung cancer have advanced stage disease, which contributes to their extremely poor prognosis, with the 5-year survival rates <20% (8). Lung cancer prognosis is closely related to metastasis. Common lung cancer metastasis sites are bone and brain (9), while other metastatic sites include liver (10), duodenum and pancreas (11), lymph node (12), adrenal gland (13), throat (14), and eye (15), with the eye a rare site for lung cancer metastasis. Clinical manifestations of ocular metastases include decreased vision, visual field defects, pain, muscae volitantes, and elevated intraocular pressure, among others (16); however, the condition can also be asymptomatic (17). Ocular metastases are often overlooked in early diagnosis, resulting in decreased quality of life and poor prognosis. Therefore, we conducted a retrospective study, with the aim of improving early diagnosis rates and prognosis of ocular metastasis in patients with lung cancer.
Materials and Methods
Ethics Statement
The Ethics Committee of the First Affiliated Hospital of Nanchang University approved this study. Subjects were fully informed before inclusion in the trial and provided informed consent. This trial was designed in accordance with the Treaty of Helsinki.
Study Design
Lung cancer was diagnosed by histological examination of biological samples obtained by surgery or needle biopsy techniques. Hematoxylin-eosin (HE) and immunohistochemistry (IHC) staining were selected (The specific expression of thyroid transcription factor (TTF) −1 and creatine kinase (CK) −7 in lung cancer tissues indicated that the tumor tissues originated in the lung). The presence of metastases was confirmed by computed tomography (CT) and magnetic resonance imaging (MRI), and the imaging diagnosis of ocular metastases included indocyanine green angiography (ICGA), fundus fluorescein angiography (FFA), fundus photography and ocular B-ultrasound.
A total of 1,275 in lung cancer with hypertension patients admitted to our hospital from April 2005 to October 2019 were selected to participate in the trial. Among them, 58 patients with eye metastasis were the experimental (OM) group and 1,217 patients without metastasis were the control (NM) group. Inclusion criteria for the OM group were: 1) hypertension and uncontrolled blood pressure (systolic blood pressure [SBP] ≥140 mm Hg or diastolic blood pressure [DBP] ≥90 mm Hg), 2) lung cancer with ocular metastases, 3) exclusion of primary malignant tumors of the eye, 4) exclusion of benign tumors of the eye, and 4) exclusion of non-neoplastic lesions of the eye.
Data Collection
Clinical data were retrospectively collected at the time of initial diagnosis for subsequent statistical analysis, including general items, such as age and sex; laboratory test data, such as alkaline phosphatase (ALP), calcium, and hemoglobin (Hb) concentrations, and levels of the tumor markers cancer antigen 125 (CA-125), CA-199, CA-153, alpha fetoprotein (AFP), carcinoembryonic antigen (CEA), cytokeratin fraction 21-1 (CYFRA21-1), total prostate-specific antigen (TPSA), and neuron-specific enolase (NSE); auxiliary examination data, such as histological type; and relevant diagnosis and treatment history, such as treatment methods. Then we screened out the tumor markers with significant changes in patients with liver cancer, and explored the ocular metastasis of liver cancer in patients with hypertension according to the fluctuation of their concentration.
Statistical Analysis
SPSS 25.0 (SPSS, IBM, USA), MedCalc 19.0.5 (MedCalc Ostend, Belgium), and Excel 2019 (Microsoft Crop, Redmond, WA, USA) software were applied for statistical analyses. The Student's t-test and chi square test were used to evaluate whether differences in clinical features between the OM and the NM groups were statistically significant. To identify risk factors for OM of lung cancer, binary logistic regression analysis was conducted. Receiver operating characteristic (ROC) curves were plotted to estimate the accuracy and predictive value of diagnostic indicators. P < 0.05 was considered statistically significant.
Results
Demographic and Clinical Characteristics
A total of 1,275 subjects participated in our trial, comprising 58 and 1,217 in the OM and NM groups, respectively. Figure 1 showed the HE and IHC staining of lung cancer tissues. Figure 2 showed the results of ophthalmic imaging (ICGA, FFA, fundus photography, ocular B-ultrasound) in patients with lung cancer ocular metastasis. The mean ages of the two groups were 59.67 ± 9.11 and 60.57 ± 10.39 years, respectively, which was not significantly different (Student's t-test). Further, the sex distributions of the two groups did not differ significantly. In contrast, tumor histological classification and treatment methods did differ significantly between the OM and NM groups. Adenocarcinoma was the main tumor type in the OM group (67.24%), while squamous cell carcinoma was the most common in the NM group (46.43%). Further patients in the OM group were most commonly treated with chemotherapy (55.17%), while chemotherapy (39.93%) and surgery (37.06%) were dominant therapies in the NM group (Figure 3). Detailed data on clinical characteristics are presented in Table 1.
Figure 1. HE and IHC staining of lung cancer tissues. (A) HE staining. (B) TTF-1 (IHC staining). (C) CK-7 (IHC staining). HE, hematoxylin-eosin; IHC, immunohistochemistry; TTF, transcription factor; CK, creatine kinase.
Figure 2. Ophthalmic imaging (ocular B-ultrasound, fundus photography, ICGA FFA) in patients with lung cancer ocular metastasis. (A) Ocular B-ultrasound. (B) Fundus photography. (C) ICGA. (D) FFA. ICGA, indocyanine green angiography; FFA, fundus fluorescein angiography.
Figure 3. Pathological tumor types and treatment of patients in the OM and NM groups. (A) The pathological type of OM group. (B) The pathological type of NM group. (C) The treatment of OM group. (D) The treatment of NM group. OM, ocular metastasis; NM, no metastasis.
Differences in Serological Indicators Between OM and NM Groups as Risk Factors for OM
Blood calcium concentration and NSE did not differ between the OM and NM groups; however, compared with the NM group, alkaline phosphatase, hemoglobin, CA-125, CA-199, CA-153, AFP, CEA, CYFRA21-1, and TPSA were significantly higher in the OM group (p < 0.05); detailed results are presented in Table 2. Binary logistic regression analysis demonstrated that CA-199, CA-153, AFP, CEA, and CYFRA21-1 were independent risk factors for lung cancer metastasis (Table 3).
Table 3. Results of binary logistic regression to identify risk factors for ocular metastasis of lung cancer.
Sensitivity, Specificity, AUC, and Cut-Off Values of Serological Markers for Diagnosis of Ocular Metastasis of Lung Cancer
ROC curve analyses were performed to determine the sensitivity, specificity, area under the ROC curve (AUC) and cut-off values for CA-199, CA-153, AFP, CEA, and CYFRA21-1 (presented in Table 4, ranked in order of AUC value, from largest to smallest). The results show that AFP was clearly more sensitive than the other indicators, with a value of 98.3%. In terms of specificity, CEA had the highest value (89.3%), followed by CA-199 (87.3%), CYFRA21-1 (87.0%), and CA-153 (86.1%). The highest AUC value was for CYFRA21-1 (0.875), followed by AFP (0.816). Respective and comparative ROC curves for these tumor markers are presented in Figures 4, 5.
Table 4. Sensitivity, specificity, AUC, and cut-off values for tumor markers as diagnostic indicators.
Figure 4. ROC curves for individual tumor markers as independent risk factors. (A) CYFRA21-1. (B) AFP. (C) CA-153. (D) CEA. (E) CA-199. ROC, receiver operating characteristic; AUC, area under the ROC curve; CYFRA, cytokeratin fraction; AFP, alpha fetoprotein; CA, cancer antigen; CEA, carcinoembryonic antigen.
Figure 5. Comparison of ROC curves for tumor markers as independent risk factors. AUC, area under the ROC curve; ROC, receiver operating characteristic curve; AFP, alpha fetoprotein; CEA, carcinoembryonic antigen; CA, cancer antigen; CYFRA, cytokeratin fraction.
Discussion
Lung cancer, a common disease in China, is ranked the third leading cause of years of life lost, after age-standardized stroke and ischemic heart disease (18). Tobacco smoking is a major risk factor for lung cancer, with other contributory factors including genetic susceptibility, occupational exposures, poor diet, and air pollution (19). According to histological type, lung cancer can be classified as NSCLC or SCLC, and NSCLC further subdivided into adenocarcinoma, squamous cell carcinoma, large cell carcinoma, and non-specific tumor type (5, 20). Su et al. (21) previously found that adenocarcinoma is more likely to lead to OM, which is consistent with our findings.
Metastasis is primarily responsible for lung cancer-related morbidity and mortality (22). Unfortunately, due to lack of accurate early detection, patients are usually diagnosed at an advanced disease stage (15). Bone and brain are among the most common metastasis sites (9); however, the eye is a rare site for disseminated lung cancer, as it is isolated from the lymphatic system. The malignancy invades the eye through hematogenous spread, and the choroid, because of its abundant blood flow, is more likely to be affected during advanced stage disease, while uveal metastases can occur at an earlier stage (23). The symptoms of ocular metastases include decreased vision, visual field defects, pain, muscae volitantes, and elevated intraocular pressure (16); however, most patients with ocular metastases have no obvious symptoms (21), which delays clinical diagnosis and treatment, resulting in poor prognosis.
Most patients in the OM group received chemotherapy (55.17%), while those in the NM group had chemotherapy (39.93%) and surgery (37.06%). Surgery is the first-choice for treatment of lung cancer (24), with survival rates being 80% better than those of other therapies (25); however, patients with advanced disease are usually not indicated for surgery, and are generally administered chemotherapy, targeted therapies, and/or somatostatin analog therapy as drug-based approaches, or peptide receptor radionuclide therapy (24). In particular, small cell lung cancer is not generally indicated for surgery (26), with radiation therapy or chemotherapy as the main treatment methods (27).
Although conventional tumor diagnosis methods are highly accurate, they require invasive examination and are expensive, which is not conducive to early screening for tumors. Tumor marker evaluation is non-invasive, safe, inexpensive, and simple; hence, it is more suitable for tumor screening (28). Commonly used tumor markers include CA-125, CA-153, CA-199, AFP, CEA, CYFRA21-1, TPSA, and NES, among others. CA-125, CA-199, and CA-153 are markers for ovarian, pancreatic or gastrointestinal, and breast cancer, respectively (29–32), while AFP is a tumor marker characteristic of liver cancer (33). In addition, AFP is increased in patients with liver and brain metastasis of lung cancer (34, 35). CEA is an important marker of colon cancer (36) and is also reported to be a highly sensitive marker for lung cancer assessment (37), particularly adenocarcinoma and squamous cell carcinoma (38). TPSA can be applied for assessment of prostate cancer (39), while CYFRA21-1 is a new biomarker with value for diagnosis of NSCLC (40), particularly squamous cell carcinoma (41). In addition, thymic carcinoma (42), colorectal cancer (43), and bladder cancer (44) are associated with increased CYFRA21-1 levels. NSE can be a sensitive indicator for SCLC (39). Further, these markers can be used in combination for lung cancer diagnosis (45, 46), and researchers have also confirmed that they can be used in combination or alone to screen for lung cancer metastases. Research reports of tumor markers for metastatic lung cancer sites published in recent years are presented in Table 5. Notably, Lin et al. studied patients with lung cancer with metastases other than the eyes as a control group, and concluded that CA-153 and CYFRA21-1 were risk factors for ocular metastasis of lung cancer. Our subjects are all in hypertension population, which is more consistent with the incidence of lung cancer. We included lung cancer patients without metastatic lesions as controls in contrast. Furthermore, serum ALP, serum calcium, and Hb concentrations were used to evaluate liver, bone, and nutritional status. We attempted to combine the above markers to assess tumor metastasis and the general condition of subjects. Our results show that CYFRA21-1, AFP, CA-153, CEA, and CA-199 levels are associated with OM of lung cancer, and can be used as independent risk factors. Their respective ROC curves were used to evaluate their accuracy as diagnostic indicators. The sensitivity of AFP was much higher than that of other markers, at 98.3%. In terms of specificity, CEA was highest (89.3%), but CA-199 (87.3%), CYFRA21-1 (87.0%), and CA-153 (86.1%) were similarly specific. The two indicators with the highest AUC values were CYFRA21-1 and AFP, at 0.875 and 0.816, respectively. Based on these data, AFP is a suitable marker for screening for OM of lung cancer, with risk of OM increased in patients with serum concentrations of AFP ≥ 0.54 ng/ml. CYFRA21-1 is the most accurate indicator of lung cancer OM, which should be evaluated by imaging in patients with serum levels >7.54 ng/ml.
Our research has some limitations. First, as some patients with OM also had metastases at other sites, it is difficult to rule out confounding factors. Second, the number of subjects in our trial is relatively small, particularly in the OM group. Furthermore, while we statistically evaluated differences in histological types and treatments between the OM and NM groups, we did not specifically study their effects on lung cancer metastasis. At the same time, the pathological stages of samples have not been strictly controlled, which needs further study. Finally, all patients were diagnosed and treated in the same hospital, hence there may be selection bias. Therefore, a multi-center, large-sample, prospective study is required to test our conclusions.
Conclusion
The eye is a rare site for lung cancer metastasis. Patients in hypertension population with adenocarcinomas, primarily treated with chemotherapy are more likely to develop OM. Further, CYFRA21-1, AFP, CA-153, CEA, and CA-199 are independent risk factors for OM, among which, CYFRA21-1 is the most promising diagnostic indicator.
Data Availability Statement
The data that support the findings of this study are available from the corresponding author upon reasonable request.
Ethics Statement
The studies involving human participants were reviewed and approved by the First Affiliated Hospital of Nanchang University. The patients/participants provided their written informed consent to participate in this study.
Author Contributions
JT and Q-MG was responsible for conceiving and designing the work, acquiring the data, and writing the manuscript. RH played an important role in interpreting the results and perform the analysis with constructive discussions. H-YS helped acquire data and gave some advice. TS helped make the figures. J-LW contributed to helping make the tables. Y-CP, R-BL, and L-JZ revised the manuscript. YS and YY helped design the work and approved the final version. All authors contributed to the article and approved the submitted version.
Funding
This work was supported by the National Natural Science Foundation of China (Nos: 81660158, 81460092, and 81400372); Natural Science Key Project of Jiangxi Province (No: 20161ACB21017); Health Development Planning Commission Science Foundation of Jiangxi Province (No: 20175116); National Natural Science Foundation (No: 82160195); Central Government Guides Local Science and Technology Development Foundation (No: 20211ZDG02003); Key Research Foundation of Jiangxi Province (No: 20203BBG73059, 20181BBG70004); Excellent Talents Development Project of jiangxi Province (20192BCBL23020); Natural Science Foundation of jiangxi Province (20181BAB205034); Health Development Planning Commission Science Foundation of Jiangxi Province (No: 20201032).
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.
References
1. Torre LA, Bray F, Siegel RL, Ferlay J, Lortet-Tieulent J, Jemal A. Global cancer statistics, 2012. CA Cancer J Clin. (2015) 65:87–108. doi: 10.3322/caac.21262
2. Zhang SW, Zheng RS, Yang ZX, Zeng HM, Sun KX, Gu XY, et al. Trend analysis on incidence and age at diagnosis for lung cancer in cancer registration areas of China, 2000-2014. Zhonghua Yu Fang Yi Xue Za Zhi. (2018) 52:579–85. doi: 10.3760/cma.j.issn.0253-9624.2018.06.005
3. Chen J, Lu Y, Zheng Y. Incidence and risk of hypertension with bevacizumab in non-small-cell lung cancer patients: a meta-analysis of randomized controlled trials. Drug Des Devel Ther. (2015) 9:4751–60. doi: 10.2147/DDDT.S87258
4. Blandin Knight S, Crosbie PA, Balata H, Chudziak J, Hussell T, Dive C. Progress and prospects of early detection in lung cancer. Open Biol. (2017) 7:170070. doi: 10.1098/rsob.170070
5. Xu L, Zhang G, Song S, Zheng Z. Surgery for small cell lung cancer: a Surveillance, Epidemiology, and End Results (SEER) Survey from 2010 to 2015. Medicine (Baltimore). (2019) 98:e17214. doi: 10.1097/MD.0000000000017214
6. Franczuk M, Wesolowski S. Assessment of respiratory function in the qualification for lung cancer surgery. Pneumonol Alergol Pol. (2015) 83:74–82. doi: 10.5603/PiAP.2015.0011
7. Goldstein SD, Yang SC. Role of surgery in small cell lung cancer. Surg Oncol Clin N Am. (2011) 20:769–77. doi: 10.1016/j.soc.2011.08.001
8. Roointan A, Ahmad Mir T, Ibrahim Wani S, Mati Ur R, Hussain KK, Ahmed B, et al. Early detection of lung cancer biomarkers through biosensor technology: a review. J Pharm Biomed Anal. (2019) 164:93–103. doi: 10.1016/j.jpba.2018.10.017
9. D'Antonio C, Passaro A, Gori B, Del Signore E, Migliorino MR, Ricciardi S, et al. Bone and brain metastasis in lung cancer: recent advances in therapeutic strategies. Ther Adv Med Oncol. (2014) 6:101–14. doi: 10.1177/1758834014521110
10. Shiroyama T, Suzuki H, Tamiya M, Tamiya A, Tanaka A, Okamoto N, et al. Clinical characteristics of liver metastasis in nivolumab-treated patients with non-small cell lung cancer. Anticancer Res. (2018) 38:4723–9. doi: 10.21873/anticanres.12779
11. Tamura T, Ohara G, Kagohashi K, Takayashiki N, Satoh H. Duodenal and pancreas metastasis from lung cancer. Tuberk Toraks. (2017) 65:165–8. doi: 10.5578/tt.24112
12. Kong M, Jin J, Cai X, Shen J, Ma D, Ye M, et al. Characteristics of lymph node metastasis in resected adenosquamous lung cancer. Medicine (Baltimore). (2017) 96:e8870. doi: 10.1097/MD.0000000000008870
13. Pham DC, Awad Z, Hoppe BS, Hew J, Ning K. Metastasectomy of solitary adrenal metastasis from small cell lung cancer. J Investig Med High Impact Case Rep. (2017) 5:2324709617740909. doi: 10.1177/2324709617740909
14. Kalai U, Madan K, Jain D, Mohan A, Guleria R. Laryngeal metastasis from lung cancer. Lung India. (2015) 32:268–70. doi: 10.4103/0970-2113.156249
15. Zarogoulidis P, Baka S, Labaki S, Lazaridis G, Trakada G. Targeted lung cancer treatments and eye metastasis. Med Hypothesis Discov Innov Ophthalmol. (2017) 6:10–3.
16. Xu Y, Sun Y, Zhao J, Chen M, Jiangde L, Li L, et al. Ocular metastasis in lung cancer: a retrospective analysis in a single chinese hospital and literature review. Zhongguo Fei Ai Za Zhi. (2017) 20:326–33. doi: 10.3779/j.issn.1009-3419.2017.05.05
17. Shah SU, Mashayekhi A, Shields CL, Walia HS, Hubbard GB 3rd, Zhang J, et al. Uveal metastasis from lung cancer: clinical features, treatment, and outcome in 194 patients. Ophthalmology. (2014) 121:352–7. doi: 10.1016/j.ophtha.2013.07.014
18. Zhou M, Wang H, Zeng X, Yin P, Zhu J, Chen W, et al. Mortality, morbidity, and risk factors in China and its provinces, 1990-2017: a systematic analysis for the global burden of disease Study (2017). Lancet. (2019) 394:1145–58. doi: 10.1016/S0140-6736(19)30427-1
19. Malhotra J, Malvezzi M, Negri E, La Vecchia C, Boffetta P. Risk factors for lung cancer worldwide. Eur Respir J. (2016) 48:889–902. doi: 10.1183/13993003.00359-2016
20. Quan L, Chen W, Shu Y. Current status and prospects of maintenance therapy in advanced stage non-small cell lung cancer. Zhongguo Fei Ai Za Zhi. (2010) 13:637–41. doi: 10.3779/j.issn.1009-3419.2010.06.013
21. Su HT, Chen YM, Perng RP. Symptomatic ocular metastases in lung cancer. Respirology. (2008) 13:303–5. doi: 10.1111/j.1440-1843.2007.01203.x
22. Liu ZL, Wang C, Chen HJ, Li X, Dai LJ, Ding ZY. Bone metastasis from lung cancer identified by genetic profiling. Oncol Lett. (2017) 13:847–50. doi: 10.3892/ol.2016.5458
24. Ramirez RA, Chauhan A, Gimenez J, Thomas KEH, Kokodis I, Voros BA. Management of pulmonary neuroendocrine tumors. Rev Endocr Metab Disord. (2017) 18:433–42. doi: 10.1007/s11154-017-9429-9
25. I H, Cho JY. Lung cancer biomarkers. Adv Clin Chem. (2015) 72:107–70. doi: 10.1016/bs.acc.2015.07.003
26. Barnes H, See K, Barnett S, Manser R. Surgery for limited-stage small-cell lung cancer. Cochrane Database Syst Rev. (2017) 4:Cd011917. doi: 10.1002/14651858.CD011917.pub2
27. Tartarone A, Giordano P, Lerose R, Rodriquenz MG, Conca R, Aieta M. Progress and challenges in the treatment of small cell lung cancer. Med Oncol. (2017) 34:110. doi: 10.1007/s12032-017-0966-6
28. Gasparri R, Romano R, Sedda G, Borri A, Petrella F, Galetta D, et al. Diagnostic biomarkers for lung cancer prevention. J Breath Res. (2018) 12:027111. doi: 10.1088/1752-7163/aa9386
29. Bottoni P, Scatena R. The role of CA 125 as tumor marker: biochemical and clinical aspects. Adv Exp Med Biol. (2015) 867:229–44. doi: 10.1007/978-94-017-7215-0_14
30. Kaur S, Smith LM, Patel A, Menning M, Watley DC, Malik SS, et al. A combination of MUC5AC and CA19-9 improves the diagnosis of pancreatic cancer: a multicenter study. Am J Gastroenterol. (2017) 112:172–83. doi: 10.1038/ajg.2016.482
31. Okamura R, Hasegawa S, Hida K, Hoshino N, Kawada K, Sugihara K, et al. The role of periodic serum CA19-9 test in surveillance after colorectal cancer surgery. Int J Clin Oncol. (2017) 22:96–101. doi: 10.1007/s10147-016-1027-4
32. Tang S, Wei L, Sun Y, Zhou F, Zhu S, Yang R, et al. CA153 in Breast Secretions as a potential molecular marker for diagnosing breast cancer: a meta analysis. PLoS ONE. (2016) 11:e0163030. doi: 10.1371/journal.pone.0163030
33. Sauzay C, Petit A, Bourgeois AM, Barbare JC, Chauffert B, Galmiche A, et al. Alpha-foetoprotein (AFP): a multi-purpose marker in hepatocellular carcinoma. Clin Chim Acta. (2016) 463:39–44. doi: 10.1016/j.cca.2016.10.006
34. Oshiro Y, Takada Y, Enomoto T, Fukao K, Ishikawa S, Iijima T. A resected case of metachronous liver metastasis from lung cancer producing alpha-fetoprotein (AFP) and protein induced by vitamin K absence or antagonist II (PIVKA-II). Hepatogastroenterology. (2004) 51:1144–7.
35. Hirota F, Hosaka K, Funahashi K, Oota M, Ikeda A, Oobayashi Y, et al. Effective treatment of AFP-producing lung cancer with UFT. Gan To Kagaku Ryoho. (1999) 26:381–4.
36. Hammarstrom S. The carcinoembryonic antigen (CEA) family: structures, suggested functions and expression in normal and malignant tissues. Semin Cancer Biol. (1999) 9:67–81. doi: 10.1006/scbi.1998.0119
37. Grunnet M, Sorensen JB. Carcinoembryonic antigen (CEA) as tumor marker in lung cancer. Lung Cancer. (2012) 76:138–43. doi: 10.1016/j.lungcan.2011.11.012
39. Xue F, Wang L, Zhang M, Cai L. Clinical significance of detection of serum values of neuron specific enolase before and after treatment for small cell lung cancer. Zhongguo Fei Ai Za Zhi. (2011) 14:723–6. doi: 10.3779/j.issn.1009-3419.2011.09.06
40. Zhao H, Shi X, Liu J, Chen Z, Wang G. Serum cyfra21-1 as a biomarker in patients with nonsmall cell lung cancer. J Cancer Res Ther. (2014) 10(Suppl.):C215–7. doi: 10.4103/0973-1482.145878
41. Fu L, Wang R, Yin L, Shang X, Zhang R, Zhang P. CYFRA21-1 tests in the diagnosis of non-small cell lung cancer: a meta-analysis. Int J Biol Markers. (2019) 34:251–61. doi: 10.1177/1724600819868234
42. Suzuki M, Ando S, Iida T, Fujisawa T, Kimura H. Multimodality therapy and significance of serum CYFRA21-1 for thymic carcinoma. Oncol Rep. (2005) 13:1127–31. doi: 10.3892/or.13.6.1127
43. Miyashita T, Nishimura G, Michiwa Y, Sato T, Tsugawa K, Fushida S, et al. Clinical usefulness of serum CYFRA21-1 in colorectal cancer. Gan To Kagaku Ryoho. (1996) 23:1693–6.
44. Kuang LI, Song WJ, Qing HM, Yan S, Song FL. CYFRA21-1 levels could be a biomarker for bladder cancer: a meta-analysis. Genet Mol Res. (2015) 14:3921–31. doi: 10.4238/2015.April.27.6
45. Duffy MJ, O'Byrne K. Tissue and blood biomarkers in lung cancer: a review. Adv Clin Chem. (2018) 86:1–21. doi: 10.1016/bs.acc.2018.05.001
46. Nakamura H, Nishimura T. History, molecular features, and clinical importance of conventional serum biomarkers in lung cancer. Surg Today. (2017) 47:1037–59. doi: 10.1007/s00595-017-1477-y
47. Pollan M, Varela G, Torres A, de la Torre M, Ludena MD, Ortega MD, et al. Clinical value of p53, c-erbB-2, CEA and CA125 regarding relapse, metastasis and death in resectable non-small cell lung cancer. Int J Cancer. (2003) 107:781–90. doi: 10.1002/ijc.11472
48. Arrieta O, Saavedra-Perez D, Kuri R, Aviles-Salas A, Martinez L, Mendoza-Posada D, et al. Brain metastasis development and poor survival associated with carcinoembryonic antigen (CEA) level in advanced non-small cell lung cancer: a prospective analysis. BMC Cancer. (2009) 9:119. doi: 10.1186/1471-2407-9-119
49. Cabrera-Alarcon JL, Carrillo-Vico A, Santotoribio JD, Leon-Justel A, Sanchez-Gil R, Gonzalez-Castro A, et al. CYFRA 21-1 as a tool for distant metastasis detection in lung cancer. Clin Lab. (2011) 57:1011–4.
50. Chen F, Yan CE, Li J, Han XH, Wang H, Qi J. Diagnostic value of CYFRA 21-1 and CEA for predicting lymph node metastasis in operable lung cancer. Int J Clin Exp Med. (2015) 8:9820–4.
51. Chen Y, Peng W, Huang Y, Chen J, Su G, Jiang C, et al. Significance of serum neuron-specific enolase before treatment in predicting brain metastases and prognosis of advanced non-small cell lung cancer. Zhonghua Zhong Liu Za Zhi. (2015) 37:508–11.
52. Zhou Y, Yu QF, Peng AF, Tong WL, Liu JM, Liu ZL. The risk factors of bone metastases in patients with lung cancer. Sci Rep. (2017) 7:8970. doi: 10.1038/s41598-017-09650-y
53. Morita S, Suda T, Oda C, Kobayashi M, Hoshi T, Kanefuji T, et al. The value of (18)F-FDG PET in the diagnosis of intertrabecular vertebral metastasis in a small cell lung cancer patient with a high serum CEA Level. Intern Med. (2019) 58:415–8. doi: 10.2169/internalmedicine.1394-18
Keywords: tumor markers, ocular metastasis, lung cancer, hypertension, diagnosis
Citation: Tang J, Ge Q-M, Huang R, Shu H-Y, Su T, Wu J-L, Pan Y-C, Liang R-B, Zhang L-J, Shao Y and Yu Y (2021) Clinical Significance of CYFRA21-1, AFP, CA-153, CEA, and CA-199 in the Diagnosis of Lung Cancer Ocular Metastasis in Hypertension Population. Front. Cardiovasc. Med. 8:670594. doi: 10.3389/fcvm.2021.670594
Received: 22 February 2021; Accepted: 19 August 2021;
Published: 14 September 2021.
Edited by:
Carlo Gabriele Tocchetti, University of Naples Federico II, ItalyReviewed by:
Carminia Maria Della Corte, Second University of Naples, ItalyAlessandra Cuomo, Federico II University Hospital, Italy
Copyright © 2021 Tang, Ge, Huang, Shu, Su, Wu, Pan, Liang, Zhang, Shao and Yu. 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: Yi Shao, freebee99@163.com; Yao Yu, 375135747@qq.com
†These authors have contributed equally to this work