Literature DB >> 30297397

Differential regulation of PD-L1 expression by immune and tumor cells in NSCLC and the response to treatment with atezolizumab (anti-PD-L1).

Marcin Kowanetz1, Wei Zou2, Scott N Gettinger3, Hartmut Koeppen2, Mark Kockx4, Peter Schmid5, Edward E Kadel2, Ignacio Wistuba6, Jamie Chaft7, Naiyer A Rizvi8, David R Spigel9, Alexander Spira10, Fred R Hirsch11, Victor Cohen12, Dustin Smith2, Zach Boyd2, Natasha Miley2, Susan Flynn2, Vincent Leveque2, David S Shames2, Marcus Ballinger2, Simonetta Mocci2, Geetha Shankar2, Roel Funke2, Garret Hampton2, Alan Sandler2, Lukas Amler2, Ira Mellman1, Daniel S Chen2, Priti S Hegde2.   

Abstract

Programmed death-ligand 1 (PD-L1) expression on tumor cells (TCs) by immunohistochemistry is rapidly gaining importance as a diagnostic for the selection or stratification of patients with non-small cell lung cancer (NSCLC) most likely to respond to single-agent checkpoint inhibitors. However, at least two distinct patterns of PD-L1 expression have been observed with potential biological and clinical relevance in NSCLC: expression on TC or on tumor-infiltrating immune cells (ICs). We investigated the molecular and cellular characteristics associated with PD-L1 expression in these distinct cell compartments in 4,549 cases of NSCLC. PD-L1 expression on IC was more prevalent and likely reflected IFN-γ-induced adaptive regulation accompanied by increased tumor-infiltrating lymphocytes and effector T cells. High PD-L1 expression on TC, however, reflected an epigenetic dysregulation of the PD-L1 gene and was associated with a distinct histology described by poor immune infiltration, sclerotic/desmoplastic stroma, and mesenchymal molecular features. Importantly, durable clinical responses to atezolizumab (anti-PD-L1) were observed in patients with tumors expressing high PD-L1 levels on either TC alone [40% objective response rate (ORR)] or IC alone (22% ORR). Thus, PD-L1 expression on TC or IC can independently attenuate anticancer immunity and emphasizes the functional importance of IC in regulating the antitumor T cell response.
Copyright © 2018 the Author(s). Published by PNAS.

Entities:  

Keywords:  PD-1; PD-L1; atezolizumab; cancer immunotherapy; checkpoints

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Year:  2018        PMID: 30297397      PMCID: PMC6205493          DOI: 10.1073/pnas.1802166115

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


Agents that target the programmed death-ligand 1 (PD-L1)/programmed death-1 (PD-1) axis now constitute standard of care in patients with metastatic non-small cell lung cancer (NSCLC) who are either chemotherapy naive or were previously treated with platinum-based doublet chemotherapy (1–7). In the frontline setting, pembrolizumab (anti–PD-1 antibody) has been approved as a monotherapy in patients with tumors that are highly positive for PD-L1 on tumor cells (TCs; tumor proportion score of ≥50%) (5), thus making PD-L1 testing a mandatory diagnostic test for treatment planning. In the second-line (2L) setting and beyond, atezolizumab (anti–PD-L1 antibody) has been approved as monotherapy in PD-L1–unselected NSCLC patients based on overall survival (OS) benefit observed across all PD-L1 expression subgroups in a phase 3 clinical trial OAK, comparing efficacy of atezolizumab versus docetaxel in patients with previously treated NSCLC (1, 6). However, even here, patients with high PD-L1 expression on TCs or tumor-infiltrating immune cells (ICs) exhibited the strongest survival benefit. Although these observations suggest that PD-L1 expression on TC and IC plays nonredundant roles in regulating the antitumor T cell response, the mechanistic significance of PD-L1 on TC vs. IC is unclear. PD-L1 expression is generally thought to be induced at the transcriptional level after exposure to IFN-γ released by T effector cells (Teffs) (8–10), and therefore, it was unexpected to find situations where only one or the other cellular compartment was PD-L1 positive. To address this issue, we have retrospectively characterized a large cohort of NSCLC tumors and found that expression of PD-L1 by TC and IC was associated with different histological subtypes, with TC-positive tumors exhibiting a distinctive desmoplastic phenotype. In these tumors, invasive stromal elements were found adjacent to cancer cells that constitutively expressed the PD-L1 gene due to hypomethylation of its promoter. Unlike the peritumoral stromal-rich histologies in other tumors (e.g., bladder cancer) that are associated with restricted T cell infiltration and poor response to atezolizumab (11), patients with desmoplastic NSCLC tumors respond favorably to therapy.

Results

Prevalence and Patterns of PD-L1 Expression in NSCLC.

Baseline tumor specimens from 4,549 first-line (1L) and 2L+ NSCLC patients received from four phase 1/2 atezolizumab trials () were analyzed for PD-L1 expression by trained pathologists [Food and Drug Administration (FDA)-approved complementary diagnostic SP142 immunohistochemistry (IHC) assay] (Fig. 1). Differences among the various PD-L1 IHC reagents in NSCLC have been reported (12). Thus, to validate the results independently, we studied the association of PD-L1 expression on TC or IC at the validated diagnostic cutoffs with increasing PD-L1 mRNA levels as an orthogonal measure of expression (Fig. 1). The IHC analysis identified four distinct patterns of PD-L1 expression within the tumor microenvironment (TME): TC only, IC only, TC and IC, and neither TC nor IC expression (PD-L1 negative) (Fig. 1). PD-L1 expression on IC was the predominant pattern. In the largest PD-L1–expressing subgroup (TC1/2/3 or IC1/2/3), ∼33% of patients had tumors with PD-L1 expression restricted to IC, 6% had PD-L1 expression restricted to TC, and 26% had PD-L1 expression on both TC and IC (Fig. 1). Notably, tumors displaying the highest levels of PD-L1 expression restricted to either TC (TC3) or IC (IC3) exhibited little overlap (∼1% of the overall population) and thus, represent two distinct patient populations that have not been described before. We further confirmed the IC3-restricted expression of PD-L1 using a second FDA-approved PD-L1 IHC assay (SP263) in a nontrial cohort of NSCLC cases to independently confirm our findings (). Given that the currently approved PD-L1 IHC companion diagnostics in NSCLC do not account for PD-L1 expression on IC, we aimed to study the biological factors associated with IC and TC expression of PD-L1 and the contribution of PD-L1 IC expression to outcomes for monotherapy treatment with atezolizumab.
Fig. 1.

Prevalence and patterns of PD-L1 expression on TC and IC. (A) Prevalence of PD-L1 in tumor biopsy specimens from patients prescreened and/or enrolled for the atezolizumab clinical trials FIR, BIRCH, and POPLAR. PD-L1 expression on TC and IC was determined by IHC and scored as described (). aTC2/3 or IC2/3 excluding TC3 or IC3; bTC1/2/3 or IC1/2/3 excluding TC2/3 or IC2/3. (B) Association of PD-L1 protein expression with PD-L1 mRNA in clinical specimens. Pretreatment tumor specimens from patients enrolled in the POPLAR trial binned into mutually exclusive subgroups based on PD-L1 IHC status on TC and IC. PD-L1 gene expression: *P < 0.05 vs. TC0 and IC0 subgroups determined by Wilcoxon rank sum test; **P < 0.001 vs. TC0 and IC0 subgroups determined by Wilcoxon rank sum test. (C) The Venn diagram (Left) illustrates the percentage overlap of PD-L1 on TC and IC relative to NSCLC tumor specimens from atezolizumab trials. Representative images (Right) of PD-L1 (brown) on TC and IC by IHC.

Prevalence and patterns of PD-L1 expression on TC and IC. (A) Prevalence of PD-L1 in tumor biopsy specimens from patients prescreened and/or enrolled for the atezolizumab clinical trials FIR, BIRCH, and POPLAR. PD-L1 expression on TC and IC was determined by IHC and scored as described (). aTC2/3 or IC2/3 excluding TC3 or IC3; bTC1/2/3 or IC1/2/3 excluding TC2/3 or IC2/3. (B) Association of PD-L1 protein expression with PD-L1 mRNA in clinical specimens. Pretreatment tumor specimens from patients enrolled in the POPLAR trial binned into mutually exclusive subgroups based on PD-L1 IHC status on TC and IC. PD-L1 gene expression: *P < 0.05 vs. TC0 and IC0 subgroups determined by Wilcoxon rank sum test; **P < 0.001 vs. TC0 and IC0 subgroups determined by Wilcoxon rank sum test. (C) The Venn diagram (Left) illustrates the percentage overlap of PD-L1 on TC and IC relative to NSCLC tumor specimens from atezolizumab trials. Representative images (Right) of PD-L1 (brown) on TC and IC by IHC.

Molecular and Cellular Features Associated with PD-L1 Expression on TC and IC.

To study the molecular/cellular features associated with the differential expression of PD-L1 on TC vs. IC, we focused our analysis on PD-L1–negative (TC0 and IC0), TC3, and IC3 NSCLC tumor specimens as representative cases for the distinct patterns of PD-L1 expression observed. These tumors were comprehensively characterized by histopathology, gene expression, and methylation analyses. IC3 tumors were characterized by an immune-rich microenvironment (Fig. 2) with significantly higher numbers of cytotoxic CD8+ T cells within the tumor as well as higher numbers of overall tumor-infiltrating lymphocytes (TILs) (Fig. 2 and ). Furthermore, IC3 tumors were characterized by the contextual localization of immune infiltrates in the intraepithelial (Fig. 2), epithelial–stromal interface (Fig. 2), and stromal regions (Fig. 2 ), whereas TC3 tumors were characterized by TILs largely confined to the peritumoral stromal region. Consistent with a highly infiltrated phenotype, IC3 tumors showed significantly higher expression of Teff-associated genes (including IFNG, GZMB, and CXCL9) vs. TC3 tumors (Fig. 2 and ), suggesting IFN-γ–mediated adaptive regulation of PD-L1 expression and the presence of a preexisting immune response in this subgroup of NSCLC tumors. Tumors with PD-L1 expression on both TC and IC displayed the TIL contexture and Teff gene signature similar to those on IC3-restricted rather than TC3-restricted tumors, again reflecting an adaptive regulation of PD-L1 expression in this subgroup of tumors (Fig. 2 and ).
Fig. 2.

Immune-rich TME of IC3 tumors. (A and B) CD8+ T cell infiltration and PD-L1 expression in IC3 vs. TC3 tumors. (A) Representative images with H&E and IHC staining (brown) are shown. (Scale bar: 50 µm.) (B) Median CD8+ T cell infiltration. NS, not significant. (C–F) Immune infiltration across distinct locations within IC3 vs. TC3 tumors. Representative images (H&E and PD-L1 IHC staining) are shown. (G and H) High expression of Teff markers in IC3 tumors. Violin plot shows Teff gene expression; plus signs indicate median. P values were determined using Wilcoxon rank sum test. *P < 0.001; **P < 0.0001.

Immune-rich TME of IC3 tumors. (A and B) CD8+ T cell infiltration and PD-L1 expression in IC3 vs. TC3 tumors. (A) Representative images with H&E and IHC staining (brown) are shown. (Scale bar: 50 µm.) (B) Median CD8+ T cell infiltration. NS, not significant. (C–F) Immune infiltration across distinct locations within IC3 vs. TC3 tumors. Representative images (H&E and PD-L1 IHC staining) are shown. (G and H) High expression of Teff markers in IC3 tumors. Violin plot shows Teff gene expression; plus signs indicate median. P values were determined using Wilcoxon rank sum test. *P < 0.001; **P < 0.0001. In contrast to IC3 tumors, TC3 tumors were characterized by a highly sclerotic (Fig. 3 ) and desmoplastic (Fig. 3 ) phenotype comprising extensive collagenized stroma, fibrous connective tissue, and activated fibroblasts that coursed throughout the tumor tissue (Fig. 3 and ). TC3 tumors also exhibited higher expression of markers associated with a mesenchymal phenotype and epithelial–mesenchymal transition (EMT), including genes such as TGFB1, VIM, STX2, and ZEB1 (13, 14) (Fig. 3 and ). These data provide clinical evidence to support preclinical observations that EMT and TGF-β expression may be associated with PD-L1 expression on TC (14). To confirm that the observed differential expression of EMT signature was not due to potential differences in TC content, the expression of TTF1 (for nonsquamous NSCLC tumors) and p63 (for squamous NSCLC tumors) (15, 16) was evaluated and found to be similar between the TC3 and IC3 subgroups ().
Fig. 3.

TC3 tumors were characterized by a sclerotic/desmoplastic TME, mesenchymal markers expression, and epigenetic regulation of the PD-L1 promoter. (A and B) TC3 and IC3 tumors scored for sclerosis and desmoplasia as described (). (C) Representative images with H&E staining of TC3 and IC0 as well as IC3 and TC0 tumors. Sclerotic/desmoplastic characteristics of TC3 tumors are indicated with arrows. (D and E) High expression of EMT markers in TC3 tumors collected from lung. Plus signs in violin plot indicate median. P values were determined using the Wilcoxon rank sum test. (F and G) Correlation between PD-L1 promoter methylation and PD-L1 expression in human NSCLC cell lines and tumors. P values are based on permutation tests in a multiple regression between log-transformed methylation and PD-L1 TC and IC scores.

TC3 tumors were characterized by a sclerotic/desmoplastic TME, mesenchymal markers expression, and epigenetic regulation of the PD-L1 promoter. (A and B) TC3 and IC3 tumors scored for sclerosis and desmoplasia as described (). (C) Representative images with H&E staining of TC3 and IC0 as well as IC3 and TC0 tumors. Sclerotic/desmoplastic characteristics of TC3 tumors are indicated with arrows. (D and E) High expression of EMT markers in TC3 tumors collected from lung. Plus signs in violin plot indicate median. P values were determined using the Wilcoxon rank sum test. (F and G) Correlation between PD-L1 promoter methylation and PD-L1 expression in human NSCLC cell lines and tumors. P values are based on permutation tests in a multiple regression between log-transformed methylation and PD-L1 TC and IC scores. To further delineate the molecular factors associated with PD-L1 regulation on TC3 tumors, we considered several possibilities, including PD-L1 gene copy number (CN) gain as well as epigenetic modulation of PD-L1 expression. First, we asked if the PD-L1 gene may be amplified in a subset of NSCLC (17). Analysis of 276 tumors showed that 23% of TC3 tumors associated with increased PD-L1 CN, indicating that gene amplification (defined as CN ≥ 5) can only partly account for high PD-L1 expression on TC (). Moreover, PD-L1 CN gain was associated with the TC pattern of PD-L1 but not the IC-restricted pattern of expression. Responses to atezolizumab were similarly observed in PD-L1–amplified vs. –nonamplified TC3 tumors (). Second, we considered whether PD-L1 expression on TC is epigenetically regulated (18). Using human NSCLC cell lines (n = 150), we found an inverse correlation between PD-L1 gene expression and the methylation of two noncanonical CpG sites (CpG1 and CpG5) near the STAT3 consensus binding regions within the PD-L1 promoter (Fig. 3). A similar phosho-STAT1 and phospho-STAT3 activation after IFN-γ stimulation was observed in NSCLC cell lines with and without PD-L1 promoter methylation, suggesting that the IFN-γ signaling pathway was intact in TCs with the highly methylated PD-L1 promoter (). Consistent with the cell line data, in clinical samples, we also observed that increased PD-L1 expression on TC was most frequent in NSCLC tumors with reduced PD-L1 promoter methylation (Fig. 3). No association was found between PD-L1 IC and promoter methylation. Furthermore, analysis of peripheral blood mononuclear cells (PBMCs) revealed no methylation at CpG1 and rare methylation at CpG5 sites (), confirming that TC expression, but not IC expression, is primarily associated with reduced PD-L1 promoter methylation in NSCLC tumors. Together, these data suggest that PD-L1 expression on TC3 may be regulated by tumor-intrinsic mechanisms involving gene CN gains and especially, promoter methylation.

Efficacy of Atezolizumab in Patients with PD-L1 Expression on TC and IC.

We asked whether the different patterns of PD-L1 expression on TC and IC resulted in differential responses to atezolizumab in NSCLC. In a pooled analysis of 938 patients, high PD-L1 expression on TC or IC was independently associated with response to atezolizumab. Confirmed responses occurred in all categories of PD-L1 expression, including tumors with PD-L1 expression restricted to TC3 alone [objective response rate (ORR), 40%] or IC3 alone (ORR, 22%) (Fig. 4 and ). Response rates in patients with PD-L1–negative (TC0 and IC0) tumors were 8%. Patients in either TC3 alone or IC3 alone subgroups had similar durability of response (14.3 and 14.6 mo, respectively). Median progression-free survival (PFS) was 11.0 mo (95% CI, 1.6 to not estimable) for TC3-alone patients and 4.7 mo (95% CI, 2.8–5.8) for IC3-alone patients compared with 2.8 mo (95% CI, 1.5–4.2) for PD-L1–negative (TC0 and IC0) patients. Median OS was not reached (95% CI, 8.8 to not estimable) for TC3-alone patients and 17.9 mo (95% CI, 12.1 to not estimable) for IC3-alone patients compared with 10.0 mo (95% CI, 7.8–13.2) for PD-L1–negative patients (Fig. 4 and ). Thus, despite distinct regulation of PD-L1 expression, both TC3 and IC3 tumors responded favorably to atezolizumab, suggesting that both intrinsic and adaptive mechanisms regulating PD-L1 expression and expression on either TC or IC contribute to the antitumor immune response to atezolizumab in NSCLC.
Fig. 4.

TC3 tumors and clinical response to atezolizumab. (A) Clinical outcomes from atezolizumab treatment in PD-L1 TC and IC tumor subgroups. NE, not estimable; NR, not reached. (B) Changes in sum of longest diameters (SLD) over time in TC0 and IC0, TC3 and IC0, IC3 and TC0, and TC3 and IC3 patients responding to atezolizumab treatment. Thin lines represent individual patients. Thick lines show trends for each subset. (C) Waterfall plot showing best percentage change from baseline in SLD. Lanes represent individual patients. (D and E) Mechanism of response to atezolizumab in TC3 tumors. CD8 and PD-L1 expression (IHC) and gene expression analysis of paired pretreatment (archival and baseline biopsies) and on-treatment biopsy from a tumor that subsequently responded to treatment with atezolizumab. For the archival sample, tumor biopsy from a lymph node was collected 10 mo before the first dose of atezolizumab. For the baseline sample, lung tumor was collected 4 d before the first dose of atezolizumab. For the on-treatment samples, biopsy from a lymph node was collected ∼5 mo after the first dose of atezolizumab. (F) Changes in SLD over time in the same patient. The arrow indicates time when the on-treatment biopsy was collected. has the patient narrative.

TC3 tumors and clinical response to atezolizumab. (A) Clinical outcomes from atezolizumab treatment in PD-L1 TC and IC tumor subgroups. NE, not estimable; NR, not reached. (B) Changes in sum of longest diameters (SLD) over time in TC0 and IC0, TC3 and IC0, IC3 and TC0, and TC3 and IC3 patients responding to atezolizumab treatment. Thin lines represent individual patients. Thick lines show trends for each subset. (C) Waterfall plot showing best percentage change from baseline in SLD. Lanes represent individual patients. (D and E) Mechanism of response to atezolizumab in TC3 tumors. CD8 and PD-L1 expression (IHC) and gene expression analysis of paired pretreatment (archival and baseline biopsies) and on-treatment biopsy from a tumor that subsequently responded to treatment with atezolizumab. For the archival sample, tumor biopsy from a lymph node was collected 10 mo before the first dose of atezolizumab. For the baseline sample, lung tumor was collected 4 d before the first dose of atezolizumab. For the on-treatment samples, biopsy from a lymph node was collected ∼5 mo after the first dose of atezolizumab. (F) Changes in SLD over time in the same patient. The arrow indicates time when the on-treatment biopsy was collected. has the patient narrative. We also investigated the time to response (TTR) and depth of response in tumors with distinct patterns of PD-L1 expression. Both TC3 and IC3 tumors exhibited comparable median TTR (2.74 mo for TC3 alone and 2.79 mo for IC3 alone), whereas numerically, the fastest median TTR (2 mo) seemed to be in patients expressing the highest levels of PD-L1 simultaneously on TC and IC (TC3 and IC3) (Fig. 4 ). Depth of response was comparable across the subgroups (Fig. 4). Notably, the few responding patients in the PD-L1–negative subgroup had a similar response pattern as in PD-L1–positive cases. Despite the lower density of CD8+ T cells and TILs in TC3 tumors, especially in the intraepithelial region, the depth and duration of response (DOR) in these tumors suggested a T cell-dependent mechanism. We analyzed multiple baseline and on-treatment paired biopsies from a single TC3 responder to further investigate on-treatment modulation of T cell infiltration as a case report (Fig. 4 ). While the baseline specimen exhibited poor intraepithelial CD8+ T cell infiltration with dense CD8+ T cell clusters restricted to the stroma, the on-treatment responding lesion collected ∼6 mo after the first dose of atezolizumab (Fig. 4) displayed a significant increase of CD8+ T cell infiltration in the intraepithelial region (Fig. 4), coincident with higher expression of Teff markers (IFNG, GZMB, and PRF1) and T cell chemoattractants (CXCL9 and CXCL10) (Fig. 4). Although limited by the number of such cases to gain mechanistic insights, this single case report provides preliminary evidence that ICs present in the surrounding stroma of TC3 responders may infiltrate the tumor and promote an antitumor immune response after inhibition of the PD-L1/PD-1 pathway.

Discussion

Understanding the mechanism of action of PD-L1 and PD-1 is key to understanding the basis for or lack of response to immunotherapy and also for gaining confidence in the interpretation of results from PD-L1 IHC diagnostic assays, which are increasingly used for informing choice of treatment between checkpoint inhibitor (CPI) monotherapy and combination regimens in NSCLC (19–22). Clinical trials with PD-1 inhibitors have shown association between PD-L1 expression on TC and improved efficacy with anti−PD-1 agents compared with chemotherapy and led to FDA approval of pembrolizumab, with a companion diagnostic test for TC PD-L1 evaluation by IHC in NSCLC (4, 23). However, these studies did not assess PD-L1 expression on IC, which is now applied in the scoring algorithm for multiple PD-L1 tests across many indications, including metastatic urothelial carcinoma, head and neck cancer, and triple-negative breast cancer (24–27). The data described here show that tumors with PD-L1 expression on TC vs. IC differ on both the histological and the molecular levels. The characteristics of tumors with PD-L1 expression on IC and their association with patient outcomes with atezolizumab monotherapy are consistent with our previous observations that the Teff gene signature is associated with improved efficacy for atezolizumab vs. docetaxel in the POPLAR and OAK studies (7, 28) and consistent with similar observations reported with other PD-L1 or PD-1 inhibitors in multiple tumor types (29–31). In addition, these data further strengthen the concept that ICs can act not only to restrict T cell activity (by presenting a source of PD-L1) but also, to facilitate an initial intratumoral expansion of T cells by providing CD80 and CD86 for CD28-dependent T cell costimulation; PD-1 on T cells acts at least in part by regulating CD28 signaling (32, 33). Nonredundant roles for PD-L1 expression on IC and TC are also consistent with recent observations in mice, where genetic manipulation was used to show contributions for tumor vs. host-derived PD-L1 in controlling antitumor immunity (34, 35). It is thus increasingly clear that ICs play a critical role in regulating T cell responses independent of PD-L1 expression by TC. Our clinical and nonclinical studies point to a role of IC expression of PD-L1 as an important indicator of preexisting immunity and active immune suppression in the tumor milieu. Blockade of PD-L1/PD-1 signaling axis by CPIs overcomes this suppression. Therefore, PD-L1 expression on IC is a relevant biomarker to identify patients with tumors that are poised to respond to checkpoint inhibition and is consistent with many previous studies (both clinical and preclinical) that have shown PD-L1 expression in tumors as an “adaptive response” to IFN-γ release by Teff cells. We also observed a subset of NSCLC tumors where TCs exhibit the cell-autonomous and T cell-independent expression of PD-L1 apparently due to such mechanisms as promoter demethylation or gene amplification. Despite the absence of demonstrable PD-L1–positive ICs, these tumors also respond well to atezolizumab, strongly suggesting preexisting immunity, although there was little T cell infiltration detected. Presumably, epigenetically dysregulated TC clones endogenously expressing PD-L1 were selected for survival and growth due to their ability to create a strong immunosuppressive environment and attenuate T cell-mediated rejection. These tumors also exhibited a distinctive desmoplastic phenotype characterized by invasive stromal elements and EMT. A similar phenotype was recently reported in a small subset of melanoma patients who were also responsive to anti–PD-L1/PD-1 therapy (36). It is important to point out, however, that these stromally invested, desmoplastic tumors appear histologically distinct from the “immune excluded” phenotype seen often in indications, such as metastatic urothelial bladder cancer (mUC), colorectal cancer, and others (11, 37, 38). As recently shown for mUC and in preclinical models (11), immune excluded tumors are characterized by a highly organized, more peritumoral stromal investment that appears to serve as a physical barrier for T cell entry into the tumor parenchyma. Tumors exhibiting this phenotype are generally nonresponsive to immunotherapy in contrast to positive response rates observed in patients with desmoplastic tumors in NSCLC or melanoma. Our results provide insights into PD-L1 regulation on both tumor and tumor-infiltrating ICs and their association with response to PD-L1/PD-1 blockade as well as reinforce their relevance as biomarkers to identify patients most likely to derive benefit from checkpoint inhibition.

Materials and Methods

Tumor Specimens.

Baseline archival or freshly collected resections and biopsies were obtained from 1L and 2L+ patients with metastatic NSCLC who were prescreened and/or enrolled in the atezolizumab trials PCD4989g, FIR, POPLAR, and BIRCH. These trials were sponsored by Genentech, Inc., a member of the Roche Group, which provided the study drug, atezolizumab. The protocols and their amendments were approved by the relevant institutional review boards or ethics committees, and all participants provided written informed consent. The clinical trials from which the data were derived were conducted in accordance with the Declaration of Helsinki and International Conference on Harmonization Guidelines for Good Clinical Practice: ClinicalTrials.gov: NCT01375842 (https://clinicaltrials.gov/ct2/show/NCT01375842), NCT01846416 (https://clinicaltrials.gov/ct2/show/NCT01846416), NCT01903993 (https://clinicaltrials.gov/ct2/show/NCT01903993), and NCT02031458 (https://clinicaltrials.gov/ct2/show/NCT02031458). In addition, tumor specimens from a cohort of nontrial patients with advanced NSCLC who were not treated with anti–PD-L1/PD-1 agents were included in this analysis.

Treatment Outcomes Groups.

Efficacy was assessed according to Response Evaluation Criteria in Solid Tumors (RECIST) v1.1 (39). PCD4989g (NCT01375842) is a multicenter, open label, dose escalation and expansion, phase 1 study of atezolizumab administered to patients with locally advanced or metastatic solid tumors or hematologic malignancies (40). Patients were either enrolled regardless of PD-L1 status or selected based on PD-L1 expression depending on the study cohort. Briefly, patients received atezolizumab at doses up to 20 mg/kg i.v. every 3 wk. Radiological assessments were performed every 6 wk for 24 wk and every 12 wk thereafter per RECIST v1.1. Patients who were evaluable for efficacy (per RECIST v1.1) had measurable disease at baseline and received atezolizumab ≥1 mg/kg. The clinical data cutoff was December 2, 2014. FIR (NCT01846416) is a multicenter, single-arm, phase 2 study of atezolizumab in patients with PD-L1–selected locally advanced or metastatic NSCLC. Patients received atezolizumab 1,200 mg i.v. every 3 wk. Tumor responses were evaluated at baseline and every 6 wk thereafter for the first 12 mo after cycle 1, day 1; after 12 wk, tumor assessments occurred every 9 wk. The clinical data cutoff was January 7, 2015. POPLAR (NCT01903993) is a multicenter, open label, randomized, phase 2 study of atezolizumab compared with docetaxel in patients with NSCLC after platinum chemotherapy failure. Patients were stratified as previously described (7) and randomized to receive atezolizumab 1,200 mg i.v. every 3 wk or docetaxel 75 mg/m2 i.v. every 3 wk. Tumors were assessed at baseline, 6 wk, every 6 wk thereafter for 36 wk after randomization, and every 9 wk thereafter. The primary analysis was based on 173 events, with a minimum follow-up of 13 mo at the clinical data cutoff of May 8, 2015. BIRCH (NCT02031458) is a multicenter, single-arm, phase 2 study of atezolizumab in patients with PD-L1–selected locally advanced or metastatic NSCLC. Patients received atezolizumab 1,200 mg i.v. every 3 wk until loss of clinical benefit as assessed by the investigator. Tumor responses were evaluated at baseline and every 6 wk thereafter for the first 12 mo after cycle 1, day 1, and then, they were evaluated every 9 wk thereafter. The clinical data cutoff was May 28, 2015.

IHC Analysis for PD-L1, CD8, and PD-1.

Formalin-fixed, paraffin-embedded (FFPE) tumor tissue from biopsies and resections collected before atezolizumab treatment was used for PD-L1 and CD8 analysis by IHC. PD-L1 expression was assessed with the VENTANA SP142 assay, which is sensitive and specific for PD-L1 expression on both TC and IC (40). PCD4989g specimens were scored using the prototype assay; FIR, POPLAR, and BIRCH specimens were scored using an investigational use only assay. PD-L1 expression was scored at four levels based on increasing expression as described (7). PD-L1 TC expression was scored as the percentage of TC stained positive as follows: TC3: ≥50% of TC PD-L1; TC2: ≥5% but <50% of TC PD-L1; TC1: ≥1% but <5% of TC PD-L1; and TC0: <1% of TC PD-L1. PD-L1 IC expression was scored as the percentage of tumor area stained positive as follows: IC3: ≥10% PD-L1; IC2: ≥5% but <10% PD-L1; IC1: ≥1% but <5% PD-L1; and IC0: <1% PD-L1. A subset of nontrial NSCLC specimens was also stained for PD-L1 with the VENTANA SP263 assay and scored for PD-L1 expression on TC. CD8 expression (clone C8/144B) was assessed in the tumor center, invasive margin, and periphery in available specimens from PCD4989g and FIR studies. PD-1 expression was assessed on TC and IC in a cohort of nontrial specimens using clone NAT105 and scored as the percentage of cells expressing PD-1. In all specimens, total immune infiltrate was assessed in the tumor area based on H&E staining.

Histopathologic Analysis.

Histopathologic assessment of the available TC3 (IC0/1) and/or IC3 (TC0) tumor specimens from the FIR, POPLAR, and BIRCH studies (n = 204) included the presence of IC at the interface between tumor and stroma, intraepithelial IC, IC in the tumor stroma, fibrous connective tissue with persistence of activated fibroblasts (desmoplasia), or cell-poor/collagenized stroma (sclerotic stroma). An estimated score of zero to three was assigned to each category as follows. Interface activity was defined as the presence of ICs at the border of the tumor strands and in the immediately adjacent stroma. The interface activity in the tumor area was scored as follows: zero, 0% activity; one, focal interface activity; two, more than focal interface activity but <50% of tumor strands showing regions of interface activity; or three, ≥50% of tumor strands showing regions of interface activity. Intraepithelial/intratumoral ICs were identified as those located within the tumor strands. Intratumoral epithelial ICs were defined as ICs in tumor nests having no cell-to-cell contact with intervening stroma and directly interacting with carcinoma cells. The presence of this feature in the tumor area was scored as follows: zero, 0% intraepithelial/intratumoral ICs; one, focal intraepithelial/intratumoral ICs; two, more than focal intraepithelial/intratumoral ICs but <50% of tumor strands showing intraepithelial/intratumoral ICs; or three, ≥50% of tumor strands showing intraepithelial/intratumoral ICs. Stromal ICs were scored uniquely as a percentage of the stromal areas alone. The areas occupied by carcinoma cells were not included in the total assessed surface area. Sclerotic stroma was defined as cell-poor, collagenous fiber-rich stroma and assigned a score of zero (absence of sclerosis) to three (strong sclerotic reaction). Desmoplastic stroma was defined as fibrous connective tissue with the presence of activated fibroblasts and assigned a score of zero (absence of desmoplasia) to three (strong desmoplastic reaction).

DNA and RNA Isolation from FFPE Tumor Tissue.

DNA and RNA isolation was performed as described previously (41). Briefly, tumor tissue from FFPE sections was lysed using tumor lysis buffer and proteinase K to allow for complete digestion and release of nucleic acids. Specimens were macrodissected if tumor content was <70% to enrich for neoplastic tissue before the lysis. RNA was isolated using the High Pure FFPE RNA Micro Kit (Roche Diagnostics) according to the manufacturer’s protocol. DNA was isolated using the QIAamp DNA FFPE Tissue Kit (Qiagen) according to the manufacturer’s protocol. RNA and DNA were stored at −80 °C until the analyses were performed.

Gene Expression Analysis.

iChip or RNAseq (Expression Analysis, Inc.) was used to assess gene expression in tumors with available RNA from PCD4989g (n = 73 for iChip and n = 53 for RNAseq), FIR (n = 127 for iChip and n = 95 for RNAseq), POPLAR (n = 225 for iChip and n = 193 for RNAseq), BIRCH (n = 618 for iChip and n = 591 for RNAseq), and the nontrial cohort (n = 78 for RNAseq). RNAseq data were normalized via voom (42) using size factors estimated by DESeq2 (43) within individual trials and were log2 transformed for nontrial samples. All RNAseq data were renormalized against sample medians before pooling. For gene signature analysis, expression values were standardized within individual genes and averaged across relevant genes. The Teff gene signature was defined by expression of CD8A, GZMA, GZMB, IFNG, EOMES, CXCL9, CXCL10, and TBX21. The EMT gene signature was defined by expression of TGFB1, ZEB1, STX2, VIM, EMP3, FN1, TWIST1, SNAI2, and CDH1. To exclude a possibility that the observed differences in Teff and EMT gene expression were due to differences in TC content between the TC3 and IC3 subsets, tumor specimens were also analyzed for TTF1 and p63 gene expression.

Gene CN Analysis.

The FoundationOne panel (Foundation Medicine) was used to analyze PD-L1 gene amplification. An increase in CN was defined as five or more copies.

Epigenetic Analysis.

PD-L1 promoter methylation in 88 NSCLC cell lines [ATCC (n = 67), JHSF (n = 7), DMSZ (n = 5), UTSW (n = 5), NCI-DCTD (n = 30), NCI-GEO (n = 1)] and 150 NSCLC nontrial tumor samples was assessed by sodium bisulfite next generation sequencing. All cell lines were authenticated by internal short tandem repeat analysis and were verified to be mycoplasma free using the MycoAlert (Lonza) and/or MycoSensor (Agilent) assay kit (44). Tumor specimens were enriched for tumor content by macrodissection before DNA isolation. Directed hierarchical clustering was used to analyze the results. For assessment of the contribution of TC vs. IC in PD-L1 promoter methylation in TC, IC, and other cell types, clonal bisulfite sequencing was performed. Briefly, DNA was amplified from transformed normal lung cell lines (gBEC1 and gSAC1) (13), NSCLC cell lines (A427, H2073, and H358), and pooled PBMCs by custom PCR primers flanking the CpG region in the PD-L1 promoter represented on the Infinium HumanMethylation450 array (Illumina). DNA from selected clones was extracted and prepared for standard bisulfite sequencing.

Statistical Analysis.

Clinical outcome end points were summarized for patients who received atezolizumab. Investigator-assessed ORRs, confirmed per RECIST v1.1, were based on the proportion of patients who had a best response of complete response or partial response. OS was the time between the date of randomization or first atezolizumab dose and death due to any cause. PFS was the time between the date of randomization/first atezolizumab dose and the date of first documented disease progression or death, whichever occurred first; disease progression was determined based on investigator assessment per RECIST v1.1. DOR was the time from the first occurrence of a documented objective response to the time of disease progression as determined by investigator per RECIST v1.1 or death from any cause, whichever occurred first. The 95% CIs were exact CIs for ORRs and plain CIs for OS, PFS, and DOR.
  36 in total

1.  PD-L1 and PD-L2 are differentially regulated by Th1 and Th2 cells.

Authors:  P'ng Loke; James P Allison
Journal:  Proc Natl Acad Sci U S A       Date:  2003-04-15       Impact factor: 11.205

2.  T cell costimulatory receptor CD28 is a primary target for PD-1-mediated inhibition.

Authors:  Enfu Hui; Jeanne Cheung; Jing Zhu; Xiaolei Su; Marcus J Taylor; Heidi A Wallweber; Dibyendu K Sasmal; Jun Huang; Jeong M Kim; Ira Mellman; Ronald D Vale
Journal:  Science       Date:  2017-03-09       Impact factor: 47.728

3.  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

4.  Safety, activity, and immune correlates of anti-PD-1 antibody in cancer.

Authors:  Suzanne L Topalian; F Stephen Hodi; Julie R Brahmer; Scott N Gettinger; David C Smith; David F McDermott; John D Powderly; Richard D Carvajal; Jeffrey A Sosman; Michael B Atkins; Philip D Leming; David R Spigel; Scott J Antonia; Leora Horn; Charles G Drake; Drew M Pardoll; Lieping Chen; William H Sharfman; Robert A Anders; Janis M Taube; Tracee L McMiller; Haiying Xu; Alan J Korman; Maria Jure-Kunkel; Shruti Agrawal; Daniel McDonald; Georgia D Kollia; Ashok Gupta; Jon M Wigginton; Mario Sznol
Journal:  N Engl J Med       Date:  2012-06-02       Impact factor: 91.245

5.  Atezolizumab in patients with locally advanced and metastatic urothelial carcinoma who have progressed following treatment with platinum-based chemotherapy: a single-arm, multicentre, phase 2 trial.

Authors:  Jonathan E Rosenberg; Jean Hoffman-Censits; Tom Powles; Michiel S van der Heijden; Arjun V Balar; Andrea Necchi; Nancy Dawson; Peter H O'Donnell; Ani Balmanoukian; Yohann Loriot; Sandy Srinivas; Margitta M Retz; Petros Grivas; Richard W Joseph; Matthew D Galsky; Mark T Fleming; Daniel P Petrylak; Jose Luis Perez-Gracia; Howard A Burris; Daniel Castellano; Christina Canil; Joaquim Bellmunt; Dean Bajorin; Dorothee Nickles; Richard Bourgon; Garrett M Frampton; Na Cui; Sanjeev Mariathasan; Oyewale Abidoye; Gregg D Fine; Robert Dreicer
Journal:  Lancet       Date:  2016-03-04       Impact factor: 79.321

Review 6.  PD-L1 (B7-H1) and PD-1 pathway blockade for cancer therapy: Mechanisms, response biomarkers, and combinations.

Authors:  Weiping Zou; Jedd D Wolchok; Lieping Chen
Journal:  Sci Transl Med       Date:  2016-03-02       Impact factor: 17.956

7.  Nivolumab versus Docetaxel in Advanced Nonsquamous Non-Small-Cell Lung Cancer.

Authors:  Hossein Borghaei; Luis Paz-Ares; Leora Horn; David R Spigel; Martin Steins; Neal E Ready; Laura Q Chow; Everett E Vokes; Enriqueta Felip; Esther Holgado; Fabrice Barlesi; Martin Kohlhäufl; Oscar Arrieta; Marco Angelo Burgio; Jérôme Fayette; Hervé Lena; Elena Poddubskaya; David E Gerber; Scott N Gettinger; Charles M Rudin; Naiyer Rizvi; Lucio Crinò; George R Blumenschein; Scott J Antonia; Cécile Dorange; Christopher T Harbison; Friedrich Graf Finckenstein; Julie R Brahmer
Journal:  N Engl J Med       Date:  2015-09-27       Impact factor: 91.245

Review 8.  The evolving genomic classification of lung cancer.

Authors:  David S Shames; Ignacio I Wistuba
Journal:  J Pathol       Date:  2014-01       Impact factor: 7.996

9.  Tumour and host cell PD-L1 is required to mediate suppression of anti-tumour immunity in mice.

Authors:  Janet Lau; Jeanne Cheung; Armando Navarro; Steve Lianoglou; Benjamin Haley; Klara Totpal; Laura Sanders; Hartmut Koeppen; Patrick Caplazi; Jacqueline McBride; Henry Chiu; Rebecca Hong; Jane Grogan; Vincent Javinal; Robert Yauch; Bryan Irving; Marcia Belvin; Ira Mellman; Jeong M Kim; Maike Schmidt
Journal:  Nat Commun       Date:  2017-02-21       Impact factor: 14.919

10.  Alterations of immune response of Non-Small Cell Lung Cancer with Azacytidine.

Authors:  John Wrangle; Wei Wang; Alexander Koch; Hariharan Easwaran; Helai P Mohammad; Frank Vendetti; Wim Vancriekinge; Timothy Demeyer; Zhengzong Du; Princy Parsana; Kristen Rodgers; Ray-Whay Yen; Cynthia A Zahnow; Janis M Taube; Julie R Brahmer; Scott S Tykodi; Keith Easton; Richard D Carvajal; Peter A Jones; Peter W Laird; Daniel J Weisenberger; Salina Tsai; Rosalyn A Juergens; Suzanne L Topalian; Charles M Rudin; Malcolm V Brock; Drew Pardoll; Stephen B Baylin
Journal:  Oncotarget       Date:  2013-11
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  69 in total

1.  Removal of N-Linked Glycosylation Enhances PD-L1 Detection and Predicts Anti-PD-1/PD-L1 Therapeutic Efficacy.

Authors:  Heng-Huan Lee; Ying-Nai Wang; Weiya Xia; Chia-Hung Chen; Kun-Ming Rau; Leiguang Ye; Yongkun Wei; Chao-Kai Chou; Shao-Chun Wang; Meisi Yan; Chih-Yen Tu; Te-Chun Hsia; Shu-Fen Chiang; K S Clifford Chao; Ignacio I Wistuba; Jennifer L Hsu; Gabriel N Hortobagyi; Mien-Chie Hung
Journal:  Cancer Cell       Date:  2019-07-18       Impact factor: 31.743

2.  Prognostic value of HER2 status on circulating tumor cells in advanced-stage breast cancer patients with HER2-negative tumors.

Authors:  Chun Wang; Zhaomei Mu; Zhong Ye; Zhenchao Zhang; Maysa M Abu-Khalaf; Daniel P Silver; Juan P Palazzo; Geetha Jagannathan; Frederick M Fellin; Saveri Bhattacharya; Rebecca J Jaslow; Theodore N Tsangaris; Adam Berger; Manish Neupane; Terrence P Cescon; AnaMaria Lopez; Kaelan Yao; Weelic Chong; Brian Lu; Ronald E Myers; Lifang Hou; Qiang Wei; Bingshan Li; Massimo Cristofanilli; Hushan Yang
Journal:  Breast Cancer Res Treat       Date:  2020-05-04       Impact factor: 4.872

3.  Patterns of immune checkpoint protein expression in MYC-overexpressing aggressive B-cell non-Hodgkin lymphomas.

Authors:  Daniel J Landsburg; Alexa Koike; Sunita D Nasta; Jakub Svoboda; Stephen J Schuster; Mariusz A Wasik; Gabriel C Caponetti
Journal:  Cancer Immunol Immunother       Date:  2020-08-28       Impact factor: 6.968

4.  Blockade of ErbB2 and PD-L1 using a bispecific antibody to improve targeted anti-ErbB2 therapy.

Authors:  Deepak Mittal; Dipti Vijayan; Joost Neijssen; Joost Kreijtz; Maurice M J M Habraken; Hans Van Eenennaam; Andrea Van Elsas; Mark J Smyth
Journal:  Oncoimmunology       Date:  2019-08-26       Impact factor: 8.110

Review 5.  Predictive biomarkers and mechanisms underlying resistance to PD1/PD-L1 blockade cancer immunotherapy.

Authors:  Daixi Ren; Yuze Hua; Boyao Yu; Xin Ye; Ziheng He; Chunwei Li; Jie Wang; Yongzhen Mo; Xiaoxu Wei; Yunhua Chen; Yujuan Zhou; Qianjin Liao; Hui Wang; Bo Xiang; Ming Zhou; Xiaoling Li; Guiyuan Li; Yong Li; Zhaoyang Zeng; Wei Xiong
Journal:  Mol Cancer       Date:  2020-01-30       Impact factor: 27.401

6.  Potent anti-myeloma efficacy of dendritic cell therapy in combination with pomalidomide and programmed death-ligand 1 blockade in a preclinical model of multiple myeloma.

Authors:  Tan-Huy Chu; Manh-Cuong Vo; Hye-Seong Park; Thangaraj Jaya Lakshmi; Sung-Hoon Jung; Hyeoung-Joon Kim; Je-Jung Lee
Journal:  Cancer Immunol Immunother       Date:  2020-07-04       Impact factor: 6.968

7.  Circ_0000003 promotes the proliferation and metastasis of non-small cell lung cancer cells via miR-338-3p/insulin receptor substrate 2.

Authors:  Shaobin Li; Xiaoge Niu; Hui Li; Yanan Liang; Zhengyang Sun; Yusheng Yan
Journal:  Cell Cycle       Date:  2019-11-17       Impact factor: 4.534

8.  Methylation of immune synapse genes modulates tumor immunogenicity.

Authors:  Anders Berglund; Matthew Mills; Ryan M Putney; Imène Hamaidi; James Mulé; Sungjune Kim
Journal:  J Clin Invest       Date:  2020-02-03       Impact factor: 14.808

Review 9.  Cancer immunotherapy with immunoadjuvants, nanoparticles, and checkpoint inhibitors: Recent progress and challenges in treatment and tracking response to immunotherapy.

Authors:  Michael-Joseph Gorbet; Ashish Ranjan
Journal:  Pharmacol Ther       Date:  2019-12-19       Impact factor: 12.310

10.  Aryl Hydrocarbon Receptor Signaling Controls CD155 Expression on Macrophages and Mediates Tumor Immunosuppression.

Authors:  Zachary P McKay; Michael C Brown; Matthias Gromeier
Journal:  J Immunol       Date:  2021-01-27       Impact factor: 5.422

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