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ORIGINAL RESEARCH article

Front. Oncol., 23 February 2021
Sec. Thoracic Oncology
This article is part of the Research Topic Issues and Challenges in NSCLC Immunotherapy View all 26 articles

Concordance of PD-L1 Status Between Image-Guided Percutaneous Biopsies and Matched Surgical Specimen in Non-Small Cell Lung Cancer

Liang Zhao&#x;Liang Zhao1†Peiqiong Chen&#x;Peiqiong Chen2†Kaili Fu&#x;Kaili Fu1†Jinluan LiJinluan Li1Yaqing DaiYaqing Dai1Yuhuan WangYuhuan Wang2Yanzhen ZhuangYanzhen Zhuang2Long SunLong Sun3Haojun Chen*Haojun Chen3*Qin Lin*Qin Lin1*
  • 1Department of Radiation Oncology, The First Affiliated Hospital of Xiamen University, Teaching Hospital of Fujian Medical University, Xiamen, China
  • 2Department of Pathology, The First Affiliated Hospital of Xiamen University, Teaching Hospital of Fujian Medical University, Xiamen, China
  • 3Department of Nuclear Medicine & Minnan PET Center, The First Affiliated Hospital of Xiamen University, Teaching Hospital of Fujian Medical University, Xiamen, China

Objective: Programmed death-ligand 1 (PD-L1) expression status is a crucial index for identifying patients who will benefit from anti-programmed cell death protein 1 (PD-1)/PD-L1 therapy for non-small cell lung cancer (NSCLC). However, the concordance of Tumor Proportion Score (TPS) between biopsies and matched surgical specimens remains controversial. This study aims to evaluate the concordance of PD-L1 expression between image-guided percutaneous biopsies and matched surgical specimens.

Method: We evaluated 157 patients diagnosed with operable NSCLC on both surgical tissue sections and matched lung biopsies retrospectively. The patients underwent either regular computed tomography (CT)-guided biopsy (n = 82) or positron emission tomography (PET)/CT-guided biopsy (n = 75). The concordance between surgical specimens and lung biopsies for PD-L1 TPS was evaluated using Cohen’s kappa (κ) coefficient.

Results: Immunohistochemical expression of PD-L1 was evaluated in both surgical resected specimens and matched biopsies in the eligible 138 patients. The concordance rate of PD-L1 expression between surgical tissue sections and matched biopsies was fairly high at 84.1% (116/138), and the κ value was 0.73 (95% CI: 0.63–0.83, P < 0.001). The concordance rate was higher for tissue sections from PET/CT-guided biopsy than for tissue sections from CT-guided biopsy [88.6% (62/70, κ value: 0.81) vs 79.4% (54/68, κ value: 0.66)].

Conclusion: PD-L1 TPS was strongly concordant between surgical specimens and matched lung biopsies. Thus, the routine evaluation of PD-L1 expression in diagnostic percutaneous biopsies could be reliable for identifying patients who will benefit from anti-PD-1/PD-L1 immunotherapy.

Introduction

Lung cancer is the leading cause of cancer-related death worldwide, and it is projected to account for over 22% of deaths in 2020 in the United States (1). Non-small cell lung cancer (NSCLC) accounts for about 80% of lung cancers. NSCLC has poor prognosis, but immunotherapy has markedly improved survival in patients with advanced NSCLC without driver alterations. In the KEYNOTE-024 and KEYNOTE-042 phase III clinical trials, programmed cell death protein 1 (PD-1)-targeted immunotherapy significantly improved the overall survival (OS) rate compared with standard therapy in advanced NSCLC (2, 3). Based on these studies, the FDA approved pembrolizumab as the first-line treatment for advanced NSCLC patients with a Tumor Proportion Score (TPS) of ≥50% (based on KEYNOTE-024) and 1% (based on KEYNOTE-042), respectively.

Other immunotherapies targeted against PD-1 or programmed death-ligand 1 (PD-L1), such as nivolumab, atezolizumab, and durvalumab (Supplemental Table 1), also showed OS benefit with similar PD-L1 cut-off values (4, 5). Thus, determining PD-L1 expression status may help select patients who will optimally benefit from immunotherapy. Immunohistochemistry (IHC) has been widely used to evaluate PD-L1 status in both clinical trials and routine clinical practice. Currently, PD-L1 testing is mainly performed on biopsy samples, which may not be representative of the whole tumor. Thus, the concordance of TPS between lung biopsies and matched surgical specimens remains controversial (6), which may result in decreased confidence on the reliability of biopsies for PD-L1 testing.

Image-guided percutaneous biopsy is currently widely used as it is minimally invasive and is associated with fewer complications. CT-guided biopsy is the most common approach for sampling of lung lesions, but it has varying diagnostic performance depending upon the target organ and type of needle used (7, 8). Meanwhile, 18F-FDG PET/CT provides both anatomic structures and metabolic features and has therefore been suggested to improve the diagnostic accuracy of image-guided biopsy (912). We have previously reported the importance of PET/CT-guided biopsy for patient evaluation at various stages of cancers (9, 13, 14). Applying PET/CT information to image-guided biopsy may facilitate accurate histopathological diagnosis and help with staging. However, only few studies to date have compared the reliability and reproducibility of PET/CT-guided biopsy with corresponding resected surgical specimens. Moreover, the use of PD-L1 as a biomarker for determining sensitivity to PD-1/PD-L1 checkpoint blockades has raised concerns on the reliability of biopsy samples compared with surgical specimens. Thus, the present study aimed to evaluate the concordance of immunohistochemical expression of PD-L1 between image-guided biopsies and matched surgical specimens.

Materials and Methods

Patient Population

The study protocol was discussed and approved by the institutional review board of the First Affiliated Hospital of Xiamen University (ID, KY2017-001), and written informed consent was obtained from all patients.

We retrospectively evaluated 157 patients with operable NSCLC who underwent both diagnostic percutaneous lung biopsy and surgical resection at the First Affiliated Hospital of Xiamen University, between December 2016 and October 2019. The exclusion criteria were as follows: (i) history of chemotherapy or radiotherapy before biopsy and surgery and (ii) incomplete preoperative clinical record, including data on body mass index, smoking history, blood routine examination, and blood biochemistry examination. Of the 157 patients, 82 underwent CT-guided biopsy, while the other 75 patients underwent 18F-FDG PET/CT-guided biopsy. Eventually, 138 matched biopsy and surgical resection specimens were obtained for further IHC analysis of PD-L1 expression. There were 72 men and 66 women in the derivation cohort, and the median patient age was 63 years (range: 25–81 years). In total, 53 (38.4%) patients were current or former smokers. All patients were staged or restaged according to the 8th International Association for the Study of Lung Cancer staging system based on postoperative pathological result. Overall, 61 (44.2%) patients had stages II–III disease, and majority (n = 116, 84.1%) had non-squamous histology. The clinicodemographic characteristics of the 138 patients are summarized in Table 1.

TABLE 1
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Table 1 Clinicodemographic characteristics of the study patients.

Image-Guided Percutaneous Biopsy

Diagnostic percutaneous lung biopsy was performed under either CT guidance or 18F-FDG PET/CT guidance. 18F-FDG PET/CT protocol and imaging analysis were performed as previously described (15). The imaging modality was determined based on discussions with the referring oncologists. The biopsy target was decided by the referring oncologists and interventional radiologists based on the results of 18F-FDG PET/CT or CT scan.

Image-guided biopsy was performed with an 18G or 20G semiautomatic core needle (Coaxial Achieve, Bard, IL, USA) with coaxial guide needle. The percutaneous biopsy was performed by a board-certified interventional radiologist following a step-by-step technique as previously described (8, 13). Briefly, the patients were positioned in a supine or prone position in accordance with factors such as the location of FDG-avid lesion, shortest skin-to-target distance, and optimal needle path. Interventions were conducted under aseptic conditions after administration of local anesthesia using 2.0% lidocaine. The needle was introduced in a stepwise manner under fused PET/CT and CT imaging guidance. Three or four specimens were obtained from each patient, after which histopathological examination and immunohistochemical staining were performed on each specimen. After the biopsy, the patients were observed by referring oncologists for at least 24 h, and the patients were asked to report any abnormality.

Immunohistochemistry

The samples were prepared and stained as previously described (15). In brief, formalin-fixed, paraffin-embedded tumor tissues were sliced into 4 μm-thick sections. For IHC detection of PD-L1, we used the BenchMark GX automated slide stainer (SP263, Ventana, Oro Valley, AZ, USA) to stain the sections with the PD-L1 antibody according to the manufacturer’s recommended protocol. Positive control (placenta) and negative control samples were run simultaneously.

The immunostained tissue sections were scored according to the PD-L1 scoring algorithm (16, 17) by three independent experienced pathologists who were blinded to the clinical data. Discrepancies in the PD-L1 score were resolved by reviewing the slides again. The cut-off values for PD-L1 expression were set to 1 and 50%.

Statistical Analysis

All statistical analyses were conducted using the SPSS 22.0 statistical analysis software (IBM, Armonk, NY, USA). For continuous data, we used the t-test or the Wilcoxon test for analyses, as appropriate. The concordance of PD-L1 TPS between surgical specimens and lung biopsies was evaluated using Cohen’s kappa (κ) coefficient (18, 19). The relative strength of agreement was interpreted as follows: κ <0, poor; 0.01–0.20, slight; 0.21–0.40, fair; 0.41–0.60, moderate; 0.61–0.80, substantial; and 0.81–1.00, almost perfect (18, 19). Between group comparisons were performed using the chi-squared test, Yates’ correction of chi-squared test, or Fisher’s exact test. The correlation between different variables was analyzed using the non-parametric Spearman’s rank test. All tests were two-sided, and a P value lower than 0.05 was considered statistically significant.

Results

The diagnostic success rates of CT- and PET/CT-guided biopsy were 82.9% (68/82) and 93.3% (70/75), respectively. There were 11 central and 146 peripheral NSCLCs. Fourteen (8.9%) patients underwent pneumothorax, while 10 (6.4%) patients happened hemoptysis. PD-L1 TPS was <1, 1–49, and ≥50% in 72, 51, and 15 percutaneous biopsy specimens, respectively, and in 58, 63, and 17 surgical resection specimens, respectively (Figure 1A). Compared with the whole tumor section, 19 biopsy specimens underestimated the PD-L1 TPS, while only three biopsy section overestimated the TPS. Regarding the concern that biopsy specimens may underestimate the PD-L1 expression, four cases (one with PET/CT-guided biopsy, and three with CT-guided biopsy) in our study showed lower PD-L1 TPS in diagnostic biopsies (1–49%) as compared to the surgical samples (> 50%). The tissue sections from the biopsy and surgical resection in the four cases were further cautiously analyzed by our experienced pathologists, and a highly heterogenous expression of PD-L1 in the surgical specimen was observed in two out of four cases. There was no significant difference in PD-L1 TPS between biopsy and surgical tissue sections (P = 0.24).

FIGURE 1
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Figure 1 Distribution of PD-L1 Tumor Proportion Score (TPS) for both biopsy specimens and matched surgical specimens in the overall patient population (A), in the CT-guided biopsy group (B), and in the PET/CT-guided biopsy group (C).

The overall concordance rate for PD-L1 TPS between percutaneous biopsy specimens and matched surgical specimens was 84.1% (116/138). The Cohen’s κ value was equal to 0.73 (95% CI: 0.63–0.83, P < 0.001), indicating substantial agreement. The concordance rate at a cut-off value of 1% PD-L1 TPS was 88.4%, and the κ value was equal to 0.77. The concordance rate at a cut-off value of PD-L1 TPS 50% also indicated substantial agreement (κ = 0.79). Representative images of concordant and discordant PD-L1 between biopsy and matched surgical specimens are shown in Figures 2 and 3, respectively. The Cohen’s κ value according to histological subtypes was 0.79 (95% CI: 0.57–1, P < 0.001) for squamous cell carcinoma and 0.71 (95% CI: 0.59–0.83, P < 0.001) for lung adenocarcinoma.

FIGURE 2
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Figure 2 Representative images of concordant cases between biopsy specimens (left panel) and matched surgical resection specimens (right panel). The PD-L1 Tumor Proportion Score (TPS) in the biopsy tumor specimen (A) and the corresponding resected tumor (B) were both ≥50%. PD-L1 TPS in the biopsy tumor (C) and the matched resected specimen (D) were both <1%. All images are at ×40 magnification.

FIGURE 3
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Figure 3 Representative images of discordant cases between biopsy specimens (left panel) and matched resected specimens (right panel). The PD-L1 Tumor Proportion Score (TPS) was 10% in the biopsy tumor specimen (A) and was ≥50% in the corresponding resected tumor (B). PD-L1 TPS in the biopsy specimen was <1% (C) and was 20% in the matched surgical specimen (D). All images are at ×40 magnification.

There was no statistical difference in the distribution of PD-L1 TPS between biopsy and surgical specimens (Figures 1B, C). The concordance rate for PD-L1 TPS between CT-guided biopsy and matched surgical tissue was 79.4% (54/68), and the Cohen’s κ value was 0.66 (95% CI: 0.50–0.82, P < 0.001), which indicated substantial agreement. Meanwhile, the concordance rate between PET/CT-guided biopsy specimen and matched surgical resection specimen was higher at 88.6% (62/70), and the Cohen’s κ value was 0.81 (95% CI: 0.68–0.94, P < 0.001), which indicated almost perfect agreement (Table 2). PD-L1 TPS was significantly associated with SUVmax on Spearman correction analysis (P = 0.048, Supplemental Table 2). Representative 18F-FDG PET/CT images for lung biopsy are shown in Figure 4.

TABLE 2
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Table 2 Cohen’s κ for concordance between percutaneous biopsy and matched surgical specimens based on TPS.

FIGURE 4
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Figure 4 A 58-year-old man with suspected lung carcinoma underwent 18F-FDG PET/CT for tumor staging before treatment. The maximum intensity projection image (A) shows intense activity in the left upper lobe of the lung (arrow). Axial view of PET/CT (B) CT scan, (C) PET image, (D), combined PET/CT image, shows the metabolic active mass (arrow) with atelectasis in its caudal part. Axial view of CT image (E) shows biopsy needle positioned into the metabolic active area (arrow). Histological examination confirmed the lung lesion as primary adenocarcinoma.

As the CT and PET/CT groups had different concordance between percutaneous biopsy and matched surgical specimens, between-group comparisons were performed. The results showed no signifcant difference in the measured PD-L1 TPS between CT-guided biopsies and PET/CT-guided biopsies (P = 0.47). There was no significant difference in the primary clinicodemographic characteristics between the two cohorts (Supplemental Table 3).

Discussion

Anti-PD-1/PD-L1 immunotherapy has improved the prognosis of NSCLC. In particular, nivolumab and pembrolizumab have significantly improved the long-term survival of patients with NSCLC (20, 21). Compared to the usual OS rate of 5% with standard chemotherapy, the 5-year OS rate of pembrolizumab treatment was 29.6% in NSCLC patients with a PD-L1 TPS of over 50% in the KEYNOTE-001 study (21). Therefore, determining the PD-L1 TPS may help identify patients who will benefit from PD-1/PD-L1 blockade therapy, allowing for a more individualized treatment approach and avoiding unnecessary treatment. In this study, the percentage of NSCLCs with PD-L1 TPS <1, 1–49, and ≥50% were 42.0, 45.7, and 12.3%, respectively, which was in agreement with the previous publication (22). Accordingly, our study evaluated the concordance of tumor PD-L1 expression between image-guided percutaneous biopsies and matched surgical specimens in patients with NSCLC. Our results indicated substantial agreement of the PD-L1 TPS between surgical specimens and matched lung biopsies. Notably, samples from PET/CT-guided biopsy demonstrated higher success rate and concordance with surgical tissue sections than those from CT-guided biopsy.

PD-L1 testing using surgical specimens is rarely feasible in patients with NSCLC because of diagnosis at the advanced stage. Our results support the reliability of PD-L1 TPS determined using image-guided percutaneous biopsy specimens. These results can help establish PD-L1 expression assessed using image-guided biopsy specimen as a reliable biomarker for predicting benefit from anti-PD-1/PD-L1 immunotherapy.

Previous investigations have shown that intratumoral heterogeneity of PD-L1 expression exists within the entire surgical specimen (23), which may result in low concordance with the results obtained on diagnostic biopsies. As such, the concordance of PD-L1 status between biopsy samples and matched resected specimens varied across previous studies. For example, Tsunoda et al. and Kitazono et al. showed good concordance (24, 25), whereas Ilie et al. and Erik et al. demonstrated poor concordance (6, 26). It is worth noting that the biopsy samples in all of these studies were mainly obtained from bronchoscopic biopsy (includes EBUS-TBNA, transbronchial or endobronchial biopsy), and part of the specimen were metastatic lymph nodes instead of primary lung tumors (6, 2426). Despite being minimally invasive, a tissue core usually is not obtained with bronchoscopic biopsy, limiting a detailed morphologic examination and therefore (27), may affect the observation on PD-L1 expression of tumor cell membrane. In our study, all biopsy specimens were obtained percutaneously using image guidance, which allowed sufficient tissues (generally 3–4 biopsy fragments were obtained for each patient, 8–12 mm * 0.5 mm for each fragment) than bronchoscopic biopsy and tissue microarrays. Although previous study reported a significant difference regarding the number of biopsy tissues between concordant and discordant case (6), we still cannot conclude that more sufficient tissues obtained via percutaneous biopsy is the reason for the high PD-L1 concordance observed in our study relative to studies wherein most tissue was obtained with bronchoscopy. Further investigation that comparing percutaneous to bronchoscopic biopsy with respect to PD-L1 testing, is in of itself an important subject matter, but not one addressed in this study.

A successful biopsy procedure must provide a diagnostic sample of tissue, which means the sample of tissue must adequately show the presence of malignancy and specific histopathologic features. Although, PET/CT-guided percutaneously obtained biopsy is not the universal standard of care for image guided biopsies, PET/CT guidance has been widely used to improve the biopsy success rate (912). In our study, PET/CT-guided biopsy samples demonstrated a higher success rate (93.3%) than did CT-guided biopsy samples (82.9%), and no significant difference regarding patients’ characteristics was observed between those who underwent PET/CT-guided biopsy and CT-guided biopsy. According to our experience, PET/CT-guided biopsy demonstrates the following advantages: First, reducing the frequency of sampling failure can improve biopsy results and patient experiences. Second, resulting in a higher percentage of malignant lesions than did CT-guided biopsy, which could be explained by better identification of the lesion site based on the integration of anatomic structure with metabolic features. For example, we found that 18F-FDG PET/CT-guided biopsy has better accuracy in NSCLC with pulmonary atelectasis in this study (Figure 4). Moreover, PET/CT allows identification of FDG-avid lesions that are most accessible to biopsy from among multiple lesions with similar uptake (911). Biopsy of the most accessible lesion could simultaneously reduce the risk of complications and minimize the sampling error.

Another important finding of this study is that samples from PET/CT-guided biopsy showed stronger concordance with surgical tissue sections than those from CT-guided biopsy, despite that, there was no significant between-group difference in patient characteristics. Considering the possibility of intra-tumor heterogeneity of PD-L1 expression in NSCLC, sampling the specimen that accurately reflects the PD-L1 status is important (28). Increasing evidence show 18F-FDG uptake in NSCLC samples was positively correlated with PD-L1 expression (2932), which has been further confirmed in our study. This might be one of the reasons that the FDG uptake of the primary lesion was able to predict the immunotherapy response (33, 34). In some cases, 18F-FDG PET/CT can show the heterogeneity of metabolism in lesions, which are of equal density in CT. Puncture sampling of areas with 18F-FDG-avid focus may help obtain representative specimens for measuring PD-L1 expression.

Compared with previous investigations, our study has the following advantages. First, we compared PD-L1 expression between surgical tissue sections and image-guided percutaneous biopsies in the same group of patients. In the ATLANTIC study that included over 1500 NSCLC patients, PD-L1 expression status was not significantly different between biopsy and surgical samples (35). However, the samples (1,365 samples were obtained by biopsy and 180 by surgical resection) were not matched from the same patients. Second, we used relatively new samples for PD-L1 staining; the specimen in our cohort was less than 3 years old. A previous study showed that samples older than 3 years may show lower PD-L1 TPS on IHC (35). Third, we used SP263 as the antibody for PD-L1 measurement, and the cut-off value was clinically relevant (25). SP263 antibody in PD-L1 assay has been reported to have high reliability and reproducibility for NSCLC tumor samples (16, 36, 37). Blueprint PD-L1 IHC Assay Comparability Project Phase 2 consolidates the analytical evidence for interchangeability of the 22C3, SP263, and 28-8 assays because of the similar analytical performance (38).

Despite its advantages, our study also has some notable limitations that need to be addressed. First, our cohort did not include patients with stage IV NSCLC, and all patients had resectable disease. Consequently, the concordant between biopsy samples and matched surgical specimens was mostly applied to early stage NSCLCs, rather than advanced disease. Second, anti-PD-1/PD-L1 immunotherapy to date was mainly used in unresectable NSCLC patients, but the patients in our cohort were treated with surgery rather than immunotherapy. However, the apparent survival benefit of immunotherapy has transformed it from being an alternative modality to being the recommended first-line treatment in the real world. Anti-PD-1/PD-L1 immunotherapy in the neoadjuvant setting also showed encouraging results in patients with resectable lung cancer (39, 40). Third, we did not examine multiple areas of the surgical specimens to evaluate the PD-L1 expression. Since the PD-L1 protein levels in NSCLC reveals heterogeneity within tumors, the PD-L1 expression of the whole tumor in this study may not be fully evaluated. Additionally, this was a retrospective, single-center study with a moderate number of patients. Prospective, multicenter studies with a larger patient population are needed.

In conclusion, PD-L1 expression is concordant between diagnostic percutaneous biopsy samples and matched surgical specimens. Thus, PD-L1 expression in image-guided percutaneous biopsies could be a reliable biomarker for screening patients who will benefit from anti-PD-1/PD-L1 immunotherapy.

Data Availability Statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics Statement

The studies involving human participants were reviewed and approved by Clinical Research Ethics Committee of the First Affiliated Hospital of Xiamen University. The patients/participants provided their written informed consent to participate in this study.

Author Contributions

LZ, HC, and QL: study conception and design. KF and YD: literature research. KF, PC, YW, and YZ: data acquisition. PC, JL, YD, and LS: data analysis and interpretation. LZ and HC: manuscript drafting. HC and LZ: manuscript editing. All authors contributed to the article and approved the submitted version.

Funding

This work was supported by the National Natural Science Foundation of China (Grant number 81772893 and 81701736).

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.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fonc.2020.551367/full#supplementary-material

References

1. Siegel RL, Miller KD, Jemal A. Cancer statistics, 2020. CA Cancer J Clin (2020) 70(1):7–30. doi: 10.3322/caac.21590

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Reck M, Rodriguez-Abreu D, Robinson AG, Hui R, Csoszi T, Fulop A, et al. Pembrolizumab versus Chemotherapy for PD-L1-Positive Non-Small-Cell Lung Cancer. N Engl J Med (2016) 375(19):1823–33. doi: 10.1056/NEJMoa1606774

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Mok TSK, Wu YL, Kudaba I, Kowalski DM, Cho BC, Turna HZ, et al. Pembrolizumab versus chemotherapy for previously untreated, PD-L1-expressing, locally advanced or metastatic non-small-cell lung cancer (KEYNOTE-042): a randomised, open-label, controlled, phase 3 trial. Lancet (2019) 393(10183):1819–30. doi: 10.1016/S0140-6736(18)32409-7

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Rittmeyer A, Barlesi F, Waterkamp D, Park K, Ciardiello F, von Pawel J, et al. Atezolizumab versus docetaxel in patients with previously treated non-small-cell lung cancer (OAK): a phase 3, open-label, multicentre randomised controlled trial. Lancet (2017) 389(10066):255–65. doi: 10.1016/S0140-6736(16)32517-X

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Shen X, Zhao B. Efficacy of PD-1 or PD-L1 inhibitors and PD-L1 expression status in cancer: meta-analysis. BMJ (2018) 362:k3529. doi: 10.1136/bmj.k3529

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Ilie M, Long-Mira E, Bence C, Butori C, Lassalle S, Bouhlel L, et al. Comparative study of the PD-L1 status between surgically resected specimens and matched biopsies of NSCLC patients reveal major discordances: a potential issue for anti-PD-L1 therapeutic strategies. Ann Oncol (2016) 27(1):147–53. doi: 10.1093/annonc/mdv489

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Nath A, Neyaz Z, Hashim Z, Agrawal V, Richa M. Role of Percutaneous Computed Tomography-guided Lung Biopsy in Non-resolving Consolidation and Identification of Clinical and High-resolution Computed Tomography Characteristics Predicting Outcome. J Clin Imaging Sci (2019) 9:48. doi: 10.25259/JCIS_126_2019

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Chang YY, Chen CK, Yeh YC, Wu MH. Diagnostic feasibility and safety of CT-guided core biopsy for lung nodules less than or equal to 8 mm: A single-institution experience. Eur Radiol (2018) 28(2):796–806. doi: 10.1007/s00330-017-5027-1

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Guo W, Hao B, Chen HJ, Zhao L, Luo ZM, Wu H, et al. PET/CT-guided percutaneous biopsy of FDG-avid metastatic bone lesions in patients with advanced lung cancer: a safe and effective technique. Eur J Nucl Med Mol Imaging (2017) 44(1):25–32. doi: 10.1007/s00259-016-3455-9

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Fei B, Schuster DM. PET Molecular Imaging-Directed Biopsy: A Review. AJR Am J Roentgenol (2017) 209(2):255–69. doi: 10.2214/AJR.17.18047

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Intepe YS, Metin B, Sahin S, Kaya B, Okur A. Our transthoracic biopsy practices accompanied by the imaging process: The contribution of positron emission tomography usage to accurate diagnosis. Acta Clin Belg (2016) 71(4):214–20. doi: 10.1080/17843286.2016.1155810

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Klaeser B, Mueller MD, Schmid RA, Guevara C, Krause T, Wiskirchen J. PET-CT-guided interventions in the management of FDG-positive lesions in patients suffering from solid malignancies: initial experiences. Eur Radiol (2009) 19(7):1780–5. doi: 10.1007/s00330-009-1338-1

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Hao B, Zhao L, Luo NN, Ruan D, Pang YZ, Guo W, et al. Is it sufficient to evaluate bone marrow involvement in newly diagnosed lymphomas using (18)F-FDG PET/CT and/or routine iliac crest biopsy? A new approach of PET/CT-guided targeted bone marrow biopsy. BMC Cancer (2018) 18(1):1192. doi: 10.1186/s12885-018-5104-0

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Guo W, Hao B, Luo N, Ruan D, Guo X, Chen HJ, et al. Early re-staging and molecular subtype shift surveillance of locally recurrent or metastatic breast cancer: A new PET/CT integrated precise algorithm. Cancer Lett (2018) 418:221–9. doi: 10.1016/j.canlet.2018.01.019

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Zhao L, Zhuang Y, Fu K, Chen P, Wang Y, Zhuo J, et al. Usefulness of [(18)F]fluorodeoxyglucose PET/CT for evaluating the PD-L1 status in nasopharyngeal carcinoma. Eur J Nucl Med Mol Imaging (2020) 47(5):1065–74. doi: 10.1007/s00259-019-04654-4

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Williams GH, Nicholson AG, Snead DRJ, Thunnissen E, Lantuejoul S, Cane P, et al. Inter-observer Reliability of Programmed Cell Death Ligand-1 Scoring Using the VENTANA PD-L1 (SP263) Assay in Non-Small Cell Lung Cancer. J Thorac Oncol (2019) 15(4):550–5. doi: 10.1016/j.jtho.2019.11.010

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Rebelatto MC, Midha A, Mistry A, Sabalos C, Schechter N, Li X, et al. Development of a programmed cell death ligand-1 immunohistochemical assay validated for analysis of non-small cell lung cancer and head and neck squamous cell carcinoma. Diagn Pathol (2016) 11(1):95. doi: 10.1186/s13000-016-0545-8

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics (1977) 33(1):159–74.

PubMed Abstract | Google Scholar

19. Li C, Huang C, Mok TS, Zhuang W, Xu H, Miao Q, et al. Comparison of 22C3 PD-L1 Expression between Surgically Resected Specimens and Paired Tissue Microarrays in Non-Small Cell Lung Cancer. J Thorac Oncol (2017) 12(10):1536–43. doi: 10.1016/j.jtho.2017.07.015

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Topalian SL, Hodi FS, Brahmer JR, Gettinger SN, Smith DC, McDermott DF, et al. Five-Year Survival and Correlates Among Patients With Advanced Melanoma, Renal Cell Carcinoma, or Non-Small Cell Lung Cancer Treated With Nivolumab. JAMA Oncol (2019) 5(10):1411–20. doi: 10.1001/jamaoncol.2019.2187

CrossRef Full Text | Google Scholar

21. Garon EB, Hellmann MD, Rizvi NA, Carcereny E, Leighl NB, Ahn MJ, et al. Five-Year Overall Survival for Patients With Advanced NonSmall-Cell Lung Cancer Treated With Pembrolizumab: Results From the Phase I KEYNOTE-001 Study. J Clin Oncol (2019) 37(28):2518–27. doi: 10.1200/JCO.19.00934

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Munari E, Zamboni G, Lunardi G, Marchionni L, Marconi M, Sommaggio M, et al. PD-L1 Expression Heterogeneity in Non-Small Cell Lung Cancer: Defining Criteria for Harmonization between Biopsy Specimens and Whole Sections. J Thorac Oncol (2018) 13(8):1113–20. doi: 10.1016/j.jtho.2018.04.017

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Lantuejoul S, Sound-Tsao M, Cooper WA, Girard N, Hirsch FR, Roden AC, et al. PD-L1 Testing for Lung Cancer in 2019: Perspective From the IASLC Pathology Committee. J Thorac Oncol (2019) 15(4):499–519. doi: 10.1016/j.jtho.2019.12.107

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Kitazono S, Fujiwara Y, Tsuta K, Utsumi H, Kanda S, Horinouchi H, et al. Reliability of Small Biopsy Samples Compared With Resected Specimens for the Determination of Programmed Death-Ligand 1 Expression in Non–Small-Cell Lung Cancer. Clin Lung Cancer (2015) 16(5):385–90. doi: 10.1016/j.cllc.2015.03.008

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Tsunoda A, Morikawa K, Inoue T, Miyazawa T, Hoshikawa M, Takagi M, et al. A prospective observational study to assess PD-L1 expression in small biopsy samples for non-small-cell lung cancer. BMC Cancer (2019) 19(1):546. doi: 10.1186/s12885-019-5773-3

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Thunnissen E, Kerr KM, Dafni U, Bubendorf L, Finn SP, Soltermann A, et al. Programmed death-ligand 1 expression influenced by tissue sample size. Scoring based on tissue microarrays’ and cross-validation with resections, in patients with, stage I-III, non-small cell lung carcinoma of the European Thoracic Oncology Platform Lungscape cohort. Mod Pathol (2019) 33(5):792–801. doi: 10.1038/s41379-019-0383-9

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Levy EB, Fiel MI, Hamilton SR, Kleiner DE, McCall SJ, Schirmacher P, et al. State of the Art: Toward Improving Outcomes of Lung and Liver Tumor Biopsies in Clinical Trials-A Multidisciplinary Approach. J Clin Oncol (2020) 38(14):1633–40. doi: 10.1200/JCO.19.02322. JCO1902322.

PubMed Abstract | CrossRef Full Text | Google Scholar

28. McLaughlin J, Han G, Schalper KA, Carvajal-Hausdorf D, Pelekanou V, Rehman J, et al. Quantitative Assessment of the Heterogeneity of PD-L1 Expression in Non-Small-Cell Lung Cancer. JAMA Oncol (2016) 2(1):46–54. doi: 10.1001/jamaoncol.2015.3638

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Wang Y, Zhao N, Wu Z, Pan N, Shen X, Liu T, et al. New insight on the correlation of metabolic status on (18)F-FDG PET/CT with immune marker expression in patients with non-small cell lung cancer. Eur J Nucl Med Mol Imaging (2019) 47(5):1127–36. doi: 10.1007/s00259-019-04500-7

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Kasahara N, Kaira K, Bao P, Higuchi T, Arisaka Y, Erkhem-Ochir B, et al. Correlation of tumor-related immunity with 18F-FDG-PET in pulmonary squamous-cell carcinoma. Lung Cancer (2018) 119:71–7. doi: 10.1016/j.lungcan.2018.03.001

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Kaira K, Shimizu K, Kitahara S, Yajima T, Atsumi J, Kosaka T, et al. 2-Deoxy-2-[fluorine-18] fluoro-d-glucose uptake on positron emission tomography is associated with programmed death ligand-1 expression in patients with pulmonary adenocarcinoma. Eur J Cancer (2018) 101:181–90. doi: 10.1016/j.ejca.2018.06.022

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Lopci E, Toschi L, Grizzi F, Rahal D, Olivari L, Castino GF, et al. Correlation of metabolic information on FDG-PET with tissue expression of immune markers in patients with non-small cell lung cancer (NSCLC) who are candidates for upfront surgery. Eur J Nucl Med Mol Imaging (2016) 43(11):1954–61. doi: 10.1007/s00259-016-3425-2

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Evangelista L. The prediction of response to immunotherapy in non-small cell lung cancer patients by 18F-FDG PET/CT. J Thorac Dis (2019) 11(11):E221–E3. doi: 10.21037/jtd.2019.10.19

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Grizzi F, Castello A, Lopci E. Is it time to change our vision of tumor metabolism prior to immunotherapy? Eur J Nucl Med Mol Imaging (2018) 45(6):1072–5. doi: 10.1007/s00259-018-3988-1

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Boothman AM, Scott M, Ratcliffe M, Whiteley J, Dennis PA, Wadsworth C, et al. Impact of Patient Characteristics, Prior Therapy, and Sample Type on Tumor Cell Programmed Cell Death Ligand 1 Expression in Patients with Advanced NSCLC Screened for the ATLANTIC Study. J Thorac Oncol (2019) 14(8):1390–9. doi: 10.1016/j.jtho.2019.04.025

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Ratcliffe MJ, Sharpe A, Midha A, Barker C, Scott M, Scorer P, et al. Agreement between Programmed Cell Death Ligand-1 Diagnostic Assays across Multiple Protein Expression Cutoffs in Non-Small Cell Lung Cancer. Clin Cancer Res (2017) 23(14):3585–91. doi: 10.1158/1078-0432.CCR-16-2375

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Brunnstrom H, Johansson A, Westbom-Fremer S, Backman M, Djureinovic D, Patthey A, et al. PD-L1 immunohistochemistry in clinical diagnostics of lung cancer: inter-pathologist variability is higher than assay variability. Mod Pathol (2017) 30(10):1411–21. doi: 10.1038/modpathol.2017.59

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Tsao MS, Kerr KM, Kockx M, Beasley MB, Borczuk AC, Botling J, et al. PD-L1 Immunohistochemistry Comparability Study in Real-Life Clinical Samples: Results of Blueprint Phase 2 Project. J Thorac Oncol (2018) 13(9):1302–11. doi: 10.1016/j.jtho.2018.05.013

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Yeh J, Marrone KA, Forde PM. Neoadjuvant and consolidation immuno-oncology therapy in stage III non-small cell lung cancer. J Thorac Dis (2018) 10(Suppl 3):S451–S9. doi: 10.21037/jtd.2018.01.109

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Forde PM, Chaft JE, Smith KN, Anagnostou V, Cottrell TR, Hellmann MD, et al. Neoadjuvant PD-1 Blockade in Resectable Lung Cancer. N Engl J Med (2018) 378(21):1976–86. doi: 10.1056/NEJMoa1716078

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: programmed death-ligand 1 (PD-L1), biopsy, surgical resected specimen, PET/CT, non-small cell lung cancer

Citation: Zhao L, Chen P, Fu K, Li J, Dai Y, Wang Y, Zhuang Y, Sun L, Chen H and Lin Q (2021) Concordance of PD-L1 Status Between Image-Guided Percutaneous Biopsies and Matched Surgical Specimen in Non-Small Cell Lung Cancer. Front. Oncol. 10:551367. doi: 10.3389/fonc.2020.551367

Received: 13 April 2020; Accepted: 30 December 2020;
Published: 23 February 2021.

Edited by:

Paweł Adam Krawczyk, Medical University of Lublin, Poland

Reviewed by:

Janaki Deepak, University of Maryland, Baltimore, United States
Fyza Y. Shaikh, Johns Hopkins University, United States

Copyright © 2021 Zhao, Chen, Fu, Li, Dai, Wang, Zhuang, Sun, Chen and Lin. 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: Haojun Chen, bGVvY2hlbjA4MjFAZm94bWFpbC5jb20=; Qin Lin, bGlucWluMDVAMTYzLmNvbQ==

These authors have contributed equally to this work

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