Literature DB >> 33403009

PD-L1 expression with respect to driver mutations in non-small cell lung cancer in an Asian population: a large study of 1370 cases in China.

Caichen Li1, Jun Liu1, Zhanhong Xie2, Feng Zhu1, Bo Cheng1, Hengrui Liang1, Jianfu Li1, Shan Xiong1, Zisheng Chen1, Zhichao Liu3, Yi Zhao1, Limin Ou1, Ran Zhong1, Wei Wang1, Jun Huang1, Jinyun Sun4, Chunya Zhang4, Landong Weng4, Jianxing He1, Wenhua Liang5, Zhenkui Pan6.   

Abstract

BACKGROUND: Programmed cell death ligand 1 (PD-L1) expression with respect to genetic alternations has not been well established in non-small cell lung cancer (NSCLC), especially in the Asian population.
METHODS: We reviewed 1370 NSCLC patients from a prospectively maintained database. Immunohistochemistry was performed on tumor cells and tumor-infiltrating lymphocytes (TILs) using the VENTANA (SP142) anti-PD-L1 antibody. The tumor proportion score (TPS) cutoff values were set at ⩾1% and ⩾50%, and the immune proportion score (IPS) cutoff values were set at ⩾1% and ⩾10%.
RESULTS: In tumor cells, PD-L1 positivity was observed in 405 (29.6%), 122 (8.9%), and 27 (2.0%) patients with TPS cutoff values at ⩾1% and ⩾50%. Contrastingly, TILs of 1154 (84.2%) and 346 (25.3%) patients stained positive at IPS cutoff values of ⩾1% and ⩾50%, respectively. PD-L1 expression was more common in patients who were mutation-negative irrespective of the TPS cutoff values and tumor size. PD-L1 expression in tumor cells was less frequent in patients harboring EGFR mutations (18.8% TPS ⩾ 1% and 4.6% TPS ⩾ 50%). Conversely, PD-L1 expression was high in the presence of KRAS mutations (47.3% TPS ⩾ 1% and 22.5% TPS ⩾ 50%). Overall, KRAS, BRAF, PICK3A, MET mutations and ROS1 and RET translocations were more frequent, while EGFR and HER2 mutations and ALK translocations were less frequent compared with the overall PD-L1 expression levels. Although the difference between TILs among the PD-L1-positive cases was comparatively small, PD-L1 positivity was less prevalent in EGFR-mutated tumors and more common in those with KRAS mutations, ROS1 translocations, BRAF mutations, or MET mutations.
CONCLUSION: Our study showed the heterogeneity in PD-L1 expression with respect to nine major oncogenic drivers in China. Future studies are warranted to further clarify the association between PD-L1 expression and driver mutations in NSCLC.
© The Author(s), 2020.

Entities:  

Keywords:  SP142; driver mutations; immunohistochemistry; non-small cell lung cancer; programmed cell death ligand 1 (PD-L1); real world study

Year:  2020        PMID: 33403009      PMCID: PMC7745563          DOI: 10.1177/1758835920965840

Source DB:  PubMed          Journal:  Ther Adv Med Oncol        ISSN: 1758-8340            Impact factor:   8.168


Introduction

Cancer immunotherapy has recently emerged as a new paradigm for treatment of lung cancer. Immune checkpoint inhibitors targeting programmed cell death 1 (PD-1) or its ligand, programmed cell death ligand 1 (PD-L1), have demonstrated promising survival benefits in patients with non-small cell lung cancer (NSCLC).[1-4] The increased expression of PD-L1 shown by immunohistochemistry has been reported to be associated with a better clinical response to PD-1/PD-L1 inhibitors.[4,5] Detection of PD-L1 expression by immunohistochemistry has, therefore, been officially approved as a companion or complementary diagnostic test to develop immunohistochemistry assays and scoring criteria for the application of each anti-PD-1/PD-L1 agent. However, some patients with PD-L1-negative tumors were also found to respond to PD-1/PD-L1 drugs[4-8]; PD-L1 expression alone may therefore not be sufficient to predict response to blockage of the PD-1/PD-L1 axis.[9] NSCLC is characterized by driver mutation-defined molecular subsets. Alternations in genes like epidermal growth factor receptor (EGFR) have been consistently reported in NSCLC patients, especially those in Asia.[10] Preclinical data indicated that activation of the EGFR pathway might be involved in antitumor immunity, thus contributing to immune escape from PD-1/PD-L1 inhibitors.[11] Patients with EGFR mutations were found to respond more poorly to PD-1/PD-L1 inhibitors than those with wild-type EGFR.[1,4,6,12,13] Meanwhile, another study indicated that patients with EGFR mutation-positive NSCLC were highly eligible for PD-1/PD-L1 immunotherapy.[14] Nonetheless, patients with PD-L1-positive tumors were noted to have higher sensitivity to EGFR inhibitors (gefitinib or erlotinib) in terms of the response rate (p = 0.01), time to progression (p < 0.0001), and survival (p = 0.09).[15] Hence, it is appealing to consider PD-L1 expression and the driver mutation status when selecting candidate therapies for patients. The global multicenter study EXPRESS by Dietel et al. has shown the relationship between PD-L1 expression and molecular biomarkers (including EGFR mutation and ALK translocation).[16] Although it is the largest real-world study to date to have evaluated PD-L1 tumor expression in advanced NSCLC, only a small portion of tumor sample came from Asia, and no samples were taken from the mainland China. Besides, it is worth noting that most of previous studies have focused on only one or a few driver mutations, like EGFR, KRAS, and/or ALK,[17,18] and no consensus has yet been reached in view of the heterogeneity in PD-L1 immunohistochemistry assay and scoring criteria, oncogenic drivers analyzed, and ethnic difference.[19,20] The present study was therefore carried out to further explore the association between PD-L1 expression and the mutation status of nine major cancer-related genes using Ventana SP142 antibody in a large cohort of Chinese NSCLC patients. The findings of our study may help to better understand the molecular association of PD-L1 expression in the Chinese population and thus shed light on the potential candidates for PD-L1 immunotherapy or targeted therapy.

Methods

Study populations

We established a prospective cohort of the NSCLC patients who underwent surgical resection or biopsy at the First Affiliated Hospital of Guangzhou Medical University (Guangzhou, China) between January 2014 and July 2018. All NSCLC cases were cytologically or pathologically confirmed. Patients were excluded if they had received previous treatment with neoadjuvant chemotherapy, radiotherapy, or EGFR-targeted therapy. Those who had inadequate tumor specimens (<20% tumor nuclei) for molecular analysis or had incomplete medical records were also excluded. Clinical data on age at surgery, sex, smoking status, tumor size, and histology were abstracted from the electronic medical records of the patients based on the LinkDoc database (LinkDoc Technology Co., Ltd., Beijing, China). The study protocol was approved by the Institutional Review Board, and informed consent was waived for this observational study.

PD-L1 immunohistochemistry assay

PD-L1 expression in tumor cells and tumor-infiltrating lymphocytes (TILs) was assessed by VENTANA PD-L1 immunohistochemistry assay (SP142, Roche, Basel, Switzerland) according to the manufacturer’s instruction. The signal was visualized using the OptiView Amplification Kit and OptiView DAB IHC Detection Kit (Roche). Two experienced pathologists were invited to evaluate the immunoreactivity of PD-L1. Discordant cases were reviewed by a third pathologist to achieve consensus. PD-L1 expression on tumor and immune cells was quantified as the tumor proportion score (TPS) and immune proportion score (IPS), respectively. The cutoff values were set at ⩾1% and ⩾50% for TPS, and at ⩾1% and ⩾10% for IPS.

Mutation tests

Genetic alternations were assessed by targeted next-generation sequencing (NGS) to cover critical mutations involving nine major drivers (EGFR, ALK, RAS, ROS1, RET, BRAF, PIK3CA, MET, and HER2) in NSCLC.[21] In brief, DNA was extracted and quantified by using the QIAamp DNA FFPE Tissue Kit (Qiagen, Hilden, Germany) and Qubit fluorometer (Thermo Fisher Scientific, Waltham, MA, USA) according to the manufacturers’ instructions. The products were then captured and sequenced on the Ion Proton Sequencer (Thermo Fisher Scientific). The data obtained were processed using a customized bioinformatics pipeline (Otype). Somatic alterations including single-nucleotide variations, short insertions or deletions, copy-number variations, and gene rearrangements were identified.

Statistical analysis

All statistical analyses were performed using IBM SPSS Statistics 17.0 (SPSS, Chicago, IL, USA). The data were expressed as mean values ± standard deviations (SD) or frequencies and proportions, when appropriate. Statistical comparison of PD-L1 expression between the patients with and without genetic alternations was made using a chi-squared test. PD-L1 expression with respect to each driver mutation was analyzed. A p value of < 0.05 was considered statistically significant.

Results

Clinical and molecular characteristics of patients

A total of 1802 consecutive NSCLC patients in the prospective database was reviewed. Finally, 1370 patients with sufficient tissues for mutation testing and PD-L1 immunohistochemistry assay were included in the study. Among them, 739 (53.9%) patients were male and 678 (49.5%) were non-smokers. The mean patient age at the time of surgery was 59.2 years, and 81.8% of the patients were aged 50 years or older. The majority of patients had adenocarcinoma (86.5%) and small tumors, sized ⩽3 cm (61.8%). The clinicopathological and molecular characteristics of the patients are summarized in Table 1. Overall distribution of PD-L1 expression in TCs and TILs was presented in Figure 1.
Table 1.

Clinicopathological and molecular characteristics of patients.

NSCLC patients (n = 1370)
Sex
Male739 (53.9%)
Female631 (46.1%)
Age (years)
Mean ± SD59.2 ± 10.6
<50 years250 (18.2%)
⩾50 years1120 (81.8%)
Smoking status
Yes372 (27.2%)
No678 (49.5%)
Unknown320 (23.4%)
Histology
Adenocarcinoma1185 (86.5%)
Other185 (13.5%)
Tumor size
⩽3 cm847 (61.8%)
>3 cm523 (38.2%)
Genetic alternation865 (63.1%)
EGFR662 (48.3%)
EGFR 19del285 (20.8%)
EGFR L858R309 (22.6%)
EGFR T790M12 (0.9%)
EGFR Rare56 (4.1%)
ALK35 (2.6%)
ROS115 (1.1%)
KRAS129 (9.4%)
BRAF10 (0.7%)
PIK3CA10 (0.7%)
RET15 (1.1%)
MET5 (0.4%)
HER23 (0.2%)

NSCLC, non-small cell lung cancer; SD, standard deviation.

Figure 1.

Overall distribution of PD-L1 expression in TCs and TILs.

PD-L1, programmed cell death ligand 1; TCs, tumor cells; TILs, tumor-infiltrating lymphocytes.

Clinicopathological and molecular characteristics of patients. NSCLC, non-small cell lung cancer; SD, standard deviation. Overall distribution of PD-L1 expression in TCs and TILs. PD-L1, programmed cell death ligand 1; TCs, tumor cells; TILs, tumor-infiltrating lymphocytes. Genetic alternations were found in 865 (63.1%) patients, including 649 EGFR mutations, 129 KRAS mutations, 35 ALK translocations, 15 ROS1 translocations, and 43 alterations of other genes (Table 1). PD-L1 positivity was observed in tumor cells of 405 (29.6%), 122 (8.9%), and 27 (2.0%) patients using the SP142 antibody with TPS cutoff values at ⩾1% and ⩾50%, respectively. On the other hand, TILs of 1154 (84.2%) and 346 (25.3%) patients stained positive at IPS cutoff values of ⩾1% and ⩾50%, respectively.

PD-L1 expression with respect to driver mutations in NSCLC

Overall, PD-L1 expression on the tumor cells was more common in patients who were mutation-negative, irrespective of the TPS cutoff value set (1% or 50%). As shown in Figure 2, over 36% of patients with wild-type mutation status for all nine oncogenic genes had a PD-L1 TPS of ⩾1 %, while only 25.4% of those with driver mutations had the same TPS (p < 0.001). When it comes to the TPS cutoff of ⩾50%, although several patients harboring EGFR mutations were PD-L1-positive, the proportion was still significantly higher in the wild-type group than in the group with driver mutations (TPS ⩾ 50%: 11.7% versus 7.3%, p = 0.005). As for PD-L1 expression in TILs, there was no significant difference between the wild-type and the mutation group with regard to IPS ⩾ 1% (86.5% versus 84.4%). Meanwhile, at IPS ⩾ 10%, many more patients were PD-L1-positive in the wild-type group (32.2% versus 21.3%, p < 0.001, Figure 2).
Figure 2.

PD-L1 expression in tumor cells and tumor-infiltrating lymphocytes with respect to driver mutations in NSCLC patients (A) and those with small-sized tumors (⩽3 cm).

IPS, immune proportion score; NSCLC, non-small cell lung cancer; PD-L1, programmed cell death ligand 1; TPS, tumor proportion score.

PD-L1 expression in tumor cells and tumor-infiltrating lymphocytes with respect to driver mutations in NSCLC patients (A) and those with small-sized tumors (⩽3 cm). IPS, immune proportion score; NSCLC, non-small cell lung cancer; PD-L1, programmed cell death ligand 1; TPS, tumor proportion score. The heterogeneity among the different driver mutations was then further considered. As reported in Table 2, the PD-L1 expression of tumor cells was less frequent in patients harboring EGFR mutations (18.8% at TPS ⩾ 1% and 4.6% at TPS ⩾ 50%), especially those with EGFR 19del or EGFR L858R mutations, even at a high cutoff of 50%. Conversely, PD-L1 expression on tumor cells was notably higher in the presence of KRAS mutations (Figure 3). The PD-L1 positive rates were 47.3% at TPS ⩾ 1% and 22.5% at TPS ⩾ 50%. Overall, KRAS, BRAF, PICK3A, and MET mutations and ROS1eRET translocations were more frequent, while EGFR and HER2 mutations and ALK translocations were less frequent compared with the overall PD-L1 expression level. By contrast, no case harboring HER2 mutation was positively stained for PD-L1, even at the lower cutoff value of TPS ⩾ 1%.
Table 2.

PD-L1 expression with respect to driver mutations in NSCLC patients.

PD-L1 expression in TCs
PD-L1 expression in TILs
TPS ⩾ 1%TPS ⩾ 50%IPS ⩾ 1%IPS ⩾ 10%
Total (n = 1370) 405 (29.6%)122 (8.9%) Total (n = 1365) 1154 (84.2%)346 (25.3%)
Wild Type (n = 505)185 (36.6 %)59 (11.7%)Wild Type (n = 503)435 (86.5%)162 (32.2%)
Genetic mutations (n = 865)220 (25.4%)63 (7.3%)Genetic mutations (n = 862)719 (84.3%)184 (21.3%)
EGFR mutation (n = 649) 122 (18.8%)3 (4.6%) EGFR mutation (n = 649) 535 (82.8%)131 (20.3%)
EGFR 19del (n = 285)45 (15.8%)7 (2.5%)EGFR 19del (n = 285)234 (82.1%)66 (23.2%)
EGFR L858R (n = 309)62 (20.1%)16 (5.2%)EGFR L858R (n = 308)260 (84.4%)55 (17.9%)
EGFR T790M (n = 12)4 (33.3%)2 (16.7%)EGFR T790M (n = 12)9 (75.0%)2 (16.7%)
EGFR Rare (n = 56)15 (26.8%)7 (12.5%)EGFR Rare (n = 54)41 (75.9%)10 (18.5%)
KRAS (n = 129) 61 (47.3%)29 (22.5%) KRAS (n = 129) 117 (90.7%)39 (30.2%)
ALK (n = 35) 9 (25.7%)4 (11.4%) ALK (n = 35) 29 (82.9%)8 (22.9%)
ROS1 (n = 15) 7 (46.7%)1 (6.7%) ROS1 (n = 15) 15 (100.0%)4 (26.7%)
RET (n = 15) 5 (33.3%)0 (0.0%) RET (n = 15) 10 (66.7%)3 (20.0%)
BRAF (n = 10) 6 (60.0%)1 (10.0%) BRAF (n = 10) 9 (90.0%)1 (10.0%)
PIK3CA (n = 10) 3 (30.0%)0 (0.0%) PIK3CA (n = 10) 6 (60.0%)2 (20.0%)
MET (n = 5) 3 (60.0%)1 (20.0%) MET (n = 5) 5 (100.0%)1 (20.0%)
HER2 (n = 3) 0 (0.0%)0 (0.0%) HER2 (n = 3) 1 (33.3%)0 (0.0%)

IPS, Immune proportion score; NSCLC, non-small cell lung cancer; PD-L1, programmed cell death ligand 1; TCs, Tumor cells; TILs, Tumor-infiltrating lymphocytes; TPS, Tumor proportion score.

Figure 3.

PD-L1 expression in tumor cells and tumor-infiltrating lymphocytes with respect to driver mutations in NSCLC patients (A and B) and those with small-sized tumors (⩽3 cm) (C and D).

NSCLC, non-small cell lung cancer; PD-L1, programmed cell death ligand 1.

PD-L1 expression with respect to driver mutations in NSCLC patients. IPS, Immune proportion score; NSCLC, non-small cell lung cancer; PD-L1, programmed cell death ligand 1; TCs, Tumor cells; TILs, Tumor-infiltrating lymphocytes; TPS, Tumor proportion score. PD-L1 expression in tumor cells and tumor-infiltrating lymphocytes with respect to driver mutations in NSCLC patients (A and B) and those with small-sized tumors (⩽3 cm) (C and D). NSCLC, non-small cell lung cancer; PD-L1, programmed cell death ligand 1. However, the difference in the proportion of patients with PD-L1-expressing TILs was comparatively small, particularly at the cutoff of IPS ⩾ 1%. Nonetheless, PD-L1 positivity was still less prevalent in EGFR mutated tumors, while more common in those with KRAS mutations, ROS1 translocations, BRAF mutations, and MET mutations (Table 2 and Figure 3).

PD-L1 expression with respect to driver mutations in small-sized NSCLC (⩽3 cm)

We then limited the patients to those with small-sized tumors (⩽3 cm; n = 847) to further investigate the PD-L1 expression with respect to genetic alternations. A total of 847 patients with tumor size of 3 cm or less were analyzed. Overall, the expression of PD-L1 showed similar trends as in the entire population (Figure 2). In brief, PD-L1 expression was more common in the absence of any driver mutations. The presence of EGFR mutations remained correlated with lower rates of PD-L1 expression regardless of cutoff criteria. Moreover, KRAS mutations were correlated with higher PD-L1 expression rates (Figure 3 and Table S1). Nonetheless, genetic alternations in ROS1, BRAF, RET, and MET showed a trend toward increased PD-L1 expression at lower cutoff values, but not at higher values, possibly due to the small number of positive cases involved.

Discussion

In the present study, we explored the molecular associations of PD-L1 expression in tumor cells and associated immune cells with respect to nine major cancer-related genes in 1370 NSCLC patients in China. Using the SP142 antibody, we showed that PD-L1 expression was more common in the absence of any genetic alteration, irrespective of different immunohistochemistry scoring criteria applied (TPS of ⩾1% versus ⩾50%, and IPS of ⩾1% versus ⩾10%) and tumor size (small (⩽3 cm) versus whole population). Notably, PD-L1 expression was found to vary regarding different driver mutations. Patients harboring EGFR mutations were more likely to have lower rates of PD-L1 expression than those harboring none or other activating mutations, such as KRAS mutations. Meanwhile, patients with KRAS mutations showed comparatively higher rates of PD-L1 expression than those with the wild-type genotype or with alternations other than KRAS in both tumor cells and TILs. In addition, patients with alterations in genes like ROS1, BRAF, and MET showed an increased tendency towards PD-L1 expression. To the best of our knowledge, this is the first study that used a large number of NSCLC patients to investigate PD-L1 expression with respect to genetic alternations in China. The association between PD-L1 expression and genetic alternations has been previously investigated, for example, the study EXPRESS by Dietel et al., which was the largest real-world study to evaluate PD-L1 tumor expression in advanced NSCLC, has showed the relationship between PD-L1 expression and molecular biomarkers (including EGFR mutation and ALK translocation), but tumor samples of patients in the Chinese mainland were not included.[16] PD-L1 expression was previously found to be more common in NSCLC patients carrying no mutation in EGFR, ALK, ROS1, or KRAS or being “pan-negative” (without EGFR, KRAS, HER2, and BRAF mutations and ALK, ROS1, and RET translocations).[19,22] These results were consistent with our observations, indicating a significantly higher rate of PD-L1 expression with respect to wild-type genotype of nine major oncogenic drivers. As for the specific driver mutations, our study showed a lower rate of PD-L1 expression in the presence of EGFR mutations and a comparatively higher rate with respect to the KRAS mutations. Using the 22C3 antibody at TPS cutoff values of ⩾1% and ⩾50%, PD-L1 expression has been reported to correlate negatively with EGFR mutations and positively with e mutations, but not with ALK/e rearrangements or MET mutations in Hong Kong NSCLC patients.[23] On the other hand, PD-L1 positivity was correlated with wild-type EGFR, but not with KRAS mutations or ALK/ROS1 rearrangements in Korea lung adenocarcinoma patients in a study using SP142 antibody with the cutoff at ⩾5%.[24] Moreover, the presence of EGFR mutations was found to be associated with increased PD-L1 expression in Japanese NSCLC patients in a study using a rabbit polyclonal anti-PD-L1 antibody and a median histological score value of 30 as the cutoff point.[17] Similar results were observed in the Italian population in a study using the anti-PD-L1 antibody ab58810, with staining intensity of ⩾2 in more than 5% of tumor cells being considered as PD-L1 positive.[15] Furthermore, a study of Germany NSCLC patients showed that PD-L1 expression was associated with KRAS mutations but not with EGFR, BRAF, or PIK3CA mutation status when using the primary antibody 5H1 at a TPS cutoff of ⩾1%.[25] Other studies have reported no significant association between PD-L1 expression and genetic alternations in EGFR, KRAS, ALK, BRAF, ROS1, MET, BRAF, or HER2.[26-30] These conflicting results may be partially explained by the variations in antibodies used for staining, the score criteria, oncogenic genes analyzed and their mutation rates among the different ethnicities, and the variations in study populations. In view of the heterogeneity of PD-L1 immunohistochemistry assays and inconsistent results obtained, we have reviewed previous studies regarding molecular association of PD-L1 expression using Ventana SP142 antibody. The results in combination with the present study are summarized in Table 3. PD-L1 expression was found to be consistently lower in patients harboring EGFR mutations, while consistently higher in those harboring KRAS mutations, regardless of PD-L1 positivity threshold and study populations.[24,31-37] These results suggest a negative correlation between PD-L1 expression and EGFR mutations, while a positive correlation with respect to KRAS mutations. Only one study investigated ALK alternations: PD-L1 was found to be positive in one (33.3%) of three ALK rearrangement cases at TPS ⩾ 1% and negative (0.0%) in all three cases at TPS ⩾ 50%. By contrast, in cases without ALK rearrangements, PD-L1 was positively stained in 27 (61.4%) and 11 (25.0%) out of 44 cases at a TPS cutoff of ⩾1% and ⩾50%, respectively.[37] These results were unlike the results observed in this study, which showed a similar rate of PD-L1 expression irrespective of ALK mutation status and cutoff criteria applied (29.7% wild-type ALK versus 25.7% ALK rearrangements at TPS ⩾ 1% and 8.9% wild-type ALK versus 11.4% ALK rearrangements at TPS ⩾ 50%; present study versus study by Krawczyk et al., respectively). A small sample size in their study and the ethnic difference may help to interpret this discrepancy. One thing worth noting is that PD-L1 expression seem to be comparatively higher in the Polish and United States (US) NSCLC patients than in the Chinese population.[34,37] Meanwhile, our results were highly consistent with those from Japanese populations.[31,32,36] Hence, there may be potential difference in PD-L1 expression with respect to ethnicity, as corroborated a previous study that suggested ethnicity as a significant factor affecting the prevalence of PD-L1 expression.[23]
Table 3.

Summary of studies on molecular association of PD-L1 expression using the SP142 antibody.

No.PtsRegionPD-L1 expression
EGFR
KRAS
TPS ⩾ 1%
TPS ⩾ 5%
TPS ⩾ 50%
TPS ⩾ 1%
TPS ⩾ 5%
TPS ⩾ 50%
WT n (%)M n (%)WT n (%)M n (%)WT n (%)M n (%)WT n (%)M n (%)WT n (%)M n (%)WT n (%)M n (%)
Takada et al.[36]441ADCJapan83 (38.1)41 (18.4)59 (27.1)16 (7.2)18 (8.3)1 (0.5)
Albitar et al.[34]397NSCLCUSA77 (23.5)3 (4.4)
Takada et al.[31,32]235NSCLCJapan44 (35.8)20 (18.7)32 (26.0)8 (7.1)8 (6.5)0 (0.0)
Krawczyk[37] et al.48NSCLCPoland26 (63.4)3 (42.9)17 (41.5)2 (28.6)10 (24.4)1 (14.3)
Casadevall et al.[35]94ADCSpain11 (15.1)0 (0.0)6 (8.6)4 (30.8)
Kim et al.[33]37NSCLCKorea7 (18.9)0 (0.0)
Cha et al.[24]323ADCKorea39 (23.5)21 (13.4)51 (17.5)9 (28.1)
Li et al. (Present study)1370NSCLCChina283 (39.3)122 (18.8)92 (12.8)30 (4.6)344 (27.7)61 (47.3)93 (7.5)29 (22.5)

ADC, adenocarcinoma; M, mutations; n, number; NSCLC, non-small cell lung cancer; PD-L1, programmed cell death ligand 1; Pts, patients; TPS, tumor proportion score; WT, wild type.

Summary of studies on molecular association of PD-L1 expression using the SP142 antibody. ADC, adenocarcinoma; M, mutations; n, number; NSCLC, non-small cell lung cancer; PD-L1, programmed cell death ligand 1; Pts, patients; TPS, tumor proportion score; WT, wild type. With regards to driver mutations other than those of EGFR, KRAS, or ALK, few studies have been carried out using the SP142 antibody. Our study showed a trend of increased PD-L1 expression with respect to ROS1 rearrangements and PIK3CA, RET, BRAF, and MET mutations in tumor cells. Meanwhile, PD-L1 was negative in all three cases harboring HER2 mutations, even at the lower TPS cutoff value of ⩾1%. Unfortunately, in view of the few positive cases involved in this study, it is difficult to conclude whether driver mutations of those less commonly investigated genes are correlated with PD-L1 in NSCLC patients. Nonetheless, our results were consistent in part with a previous study that showed a higher level of PD-L1 expression in patients harboring ROS1 rearrangements or MET mutations (using the 22C3 antibody, with a TPS cutoff at ⩾1% and ⩾50%), although the difference did not reach statistical significance.[23] In addition, that study also showed a similar level of PD-L1 expression regarding ALK rearrangements.[23] Nevertheless, our study did show a difference in PD-L1 expression with respect to different driver mutations and ethnic contexts.

Conclusion

In conclusion, our study reflects the real-world association of PD-L1 expression with driver mutations in nine major cancer-related genes in a large sample of NSCLC patients in China. Expression of PD-L1 was found to be more common in patients harboring no driver mutations and to vary with different oncogenic drivers. Overall, KRAS, BRAF, PICK3A, and MET mutations and ROS1 and RET translocations were more frequent, while EGFR and HER2 mutations and ALK translocations were less frequent compared with overall PD-L1 expression levels. Future studies are warranted to further clarify the association between PD-L1 expression and driver mutations in NSCLC. Click here for additional data file. Supplemental material, Supplementary_Data_2 for PD-L1 expression with respect to driver mutations in non-small cell lung cancer in an Asian population: a large study of 1370 cases in China by Caichen Li, Jun Liu, Zhanhong Xie, Feng Zhu, Bo Cheng, Hengrui Liang, Jianfu Li, Shan Xiong, Zisheng Chen, Zhichao Liu, Yi Zhao, Limin Ou, Ran Zhong, Wei Wang, Jun Huang, Jinyun Sun, Chunya Zhang, Landong Weng, Jianxing He, Wenhua Liang and Zhenkui Pan in Therapeutic Advances in Medical Oncology
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Journal:  N Engl J Med       Date:  2015-04-19       Impact factor: 91.245

2.  Predictive correlates of response to the anti-PD-L1 antibody MPDL3280A in cancer patients.

Authors:  Roy S Herbst; Jean-Charles Soria; Marcin Kowanetz; Gregg D Fine; Omid Hamid; Michael S Gordon; Jeffery A Sosman; David F McDermott; John D Powderly; Scott N Gettinger; Holbrook E K Kohrt; Leora Horn; Donald P Lawrence; Sandra Rost; Maya Leabman; Yuanyuan Xiao; Ahmad Mokatrin; Hartmut Koeppen; Priti S Hegde; Ira Mellman; Daniel S Chen; F Stephen Hodi
Journal:  Nature       Date:  2014-11-27       Impact factor: 49.962

3.  Association between PD-L1 expression and driven gene status in NSCLC: A meta-analysis.

Authors:  D Li; X Zhu; H Wang; N Li
Journal:  Eur J Surg Oncol       Date:  2017-02-21       Impact factor: 4.424

4.  Programmed Death-Ligand 1 Expression Predicts Tyrosine Kinase Inhibitor Response and Better Prognosis in a Cohort of Patients With Epidermal Growth Factor Receptor Mutation-Positive Lung Adenocarcinoma.

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Journal:  Clin Lung Cancer       Date:  2015-02-19       Impact factor: 4.785

5.  Real-world prevalence of programmed death ligand 1 expression in locally advanced or metastatic non-small-cell lung cancer: The global, multicenter EXPRESS study.

Authors:  M Dietel; N Savelov; R Salanova; P Micke; G Bigras; T Hida; J Antunez; B Guldhammer Skov; G Hutarew; L F Sua; H Akita; O S H Chan; B Piperdi; T Burke; S Khambata-Ford; A C Deitz
Journal:  Lung Cancer       Date:  2019-06-12       Impact factor: 5.705

6.  Assessment of programmed cell death ligand-1 expression by 4 diagnostic assays and its clinicopathological correlation in a large cohort of surgical resected non-small cell lung carcinoma.

Authors:  Anthony W H Chan; Joanna H M Tong; Johnny S H Kwan; Chit Chow; Lau Y Chung; Shuk L Chau; Raymond W M Lung; Calvin S H Ng; Innes Y P Wan; Tony S K Mok; Ka F To
Journal:  Mod Pathol       Date:  2018-04-30       Impact factor: 7.842

7.  PD-1 and PD-L1 expression in molecularly selected non-small-cell lung cancer patients.

Authors:  A D'Incecco; M Andreozzi; V Ludovini; E Rossi; A Capodanno; L Landi; C Tibaldi; G Minuti; J Salvini; E Coppi; A Chella; G Fontanini; M E Filice; L Tornillo; R M Incensati; S Sani; L Crinò; L Terracciano; F Cappuzzo
Journal:  Br J Cancer       Date:  2014-10-28       Impact factor: 7.640

8.  The correlation between programmed death-ligand 1 expression and driver gene mutations in NSCLC.

Authors:  Haitao Yang; Huijuan Chen; Shuimei Luo; Lina Li; Sijing Zhou; Ruifen Shen; Heng Lin; Xianhe Xie
Journal:  Oncotarget       Date:  2017-04-04

9.  Correlation of MET gene amplification and TP53 mutation with PD-L1 expression in non-small cell lung cancer.

Authors:  Maher Albitar; Sucha Sudarsanam; Wanlong Ma; Shiping Jiang; Wayne Chen; Vincent Funari; Forrest Blocker; Sally Agersborg
Journal:  Oncotarget       Date:  2018-02-08

10.  PD-L1 expression in lung cancer and its correlation with driver mutations: a meta-analysis.

Authors:  Minghui Zhang; Guoliang Li; Yanbo Wang; Yan Wang; Shu Zhao; Pu Haihong; Hongli Zhao; Yan Wang
Journal:  Sci Rep       Date:  2017-08-31       Impact factor: 4.379

View more
  7 in total

1.  Comparison of PD-1 Inhibitors in Patients With Advanced Esophageal Squamous Cell Carcinoma in the Second-Line Setting.

Authors:  Yi-Xin Zhou; Ping Chen; Yu-Ting Sun; Bei Zhang; Miao-Zhen Qiu
Journal:  Front Oncol       Date:  2021-09-21       Impact factor: 6.244

Review 2.  [Research Progress of Immunotherapy for Non-small Cell Lung Cancer 
with Drive Gene Mutation].

Authors:  Renfang Deng; Yue Zeng; Yue Pan; Chunhong Hu; Fang Wu
Journal:  Zhongguo Fei Ai Za Zhi       Date:  2022-03-20

3.  Correlation of PD-L1 Expression with Clinicopathological and Genomic Features in Chinese Non-Small-Cell Lung Cancer.

Authors:  Yue Li; Chong Li; Ya Jiang; Xue Han; Sisi Liu; Xiuxiu Xu; Wanxiangfu Tang; Qiuxiang Ou; Hua Bao; Xue Wu; Yang Shao; Minyan Xing; Yixiang Zhang; Yuezhen Wang
Journal:  J Oncol       Date:  2022-04-11       Impact factor: 4.501

4.  Various impacts of driver mutations on the PD-L1 expression of NSCLC.

Authors:  Cheng-Hsiang Chu; Yen-Hsiang Huang; Po-Hsin Lee; Kuo-Hsuan Hsu; Kun-Chieh Chen; Kang-Yi Su; Sung-Liang Yu; Jeng-Sen Tseng; Tsung-Ying Yang; Gee-Chen Chang
Journal:  PLoS One       Date:  2022-08-18       Impact factor: 3.752

5.  Clinical implications of immune checkpoint markers and immune infiltrates in patients with thymic neuroendocrine neoplasms.

Authors:  Man Liu; Wanming Hu; Yixuan Zhang; Ning Zhang; Luohai Chen; Yuan Lin; Yu Wang; Yanji Luo; Yu Guo; Minhu Chen; Jie Chen
Journal:  Front Oncol       Date:  2022-09-20       Impact factor: 5.738

6.  Melatonin Downregulates PD-L1 Expression and Modulates Tumor Immunity in KRAS-Mutant Non-Small Cell Lung Cancer.

Authors:  Yi-Chun Chao; Kang-Yun Lee; Sheng-Ming Wu; Deng-Yu Kuo; Pei-Wei Shueng; Cheng-Wei Lin
Journal:  Int J Mol Sci       Date:  2021-05-26       Impact factor: 5.923

7.  Impact of cancer cachexia on the therapeutic outcome of combined chemoimmunotherapy in patients with non-small cell lung cancer: a retrospective study.

Authors:  Kenji Morimoto; Junji Uchino; Takashi Yokoi; Takashi Kijima; Yasuhiro Goto; Akira Nakao; Makoto Hibino; Takayuki Takeda; Hiroyuki Yamaguchi; Chieko Takumi; Masafumi Takeshita; Yusuke Chihara; Takahiro Yamada; Osamu Hiranuma; Yoshie Morimoto; Masahiro Iwasaku; Yoshiko Kaneko; Tadaaki Yamada; Koichi Takayama
Journal:  Oncoimmunology       Date:  2021-07-08       Impact factor: 8.110

  7 in total

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