282 Pan-tumor analysis of the association between PD-L1 combined positive score and response to pembrolizumab monotherapy

2020 ◽  
Vol 8 (Suppl 3) ◽  
pp. A308-A308
Author(s):  
Lingkang Huang ◽  
Jared Lunceford ◽  
Junshui Ma ◽  
Kenneth Emancipator

BackgroundPD-L1 is expressed on both tumor and immune cells; however, the mechanism by which PD-L1 modulates the adaptive immune response on tumor versus immune cells may differ. Additionally, the prevalence of PD-L1 expression and the partitioning between tumor and immune compartments varies by tumor type. While PD-L1 expression on tumor or immune cells can be scored separately, the PD-L1 combined positive score (CPS) captures both tumor and immune cell expression in one aggregate score. We performed a retrospective, exploratory analysis of the effectiveness of CPS as an enrichment biomarker across several studies of pembrolizumab monotherapy in patients with multiple tumor types.MethodsPD-L1 expression was assessed using PD-L1 IHC 22C3 pharmDx. Expression was measured using CPS (defined as the number of PD-L1–staining cells [tumor cells, lymphocytes, macrophages] divided by the total number of tumor cells, multiplied by 100) in tumor samples from single-arm (KEYNOTE-052 [UC], KEYNOTE-059 cohort 1 [G/GEJ], KEYNOTE-086 [TNBC], KEYNOTE-158 [cervical; SCLC], KEYNOTE-180 [EC], KEYNOTE-224 [HCC], KEYNOTE-427 [RCC]) and randomized (KEYNOTE-040 [HNSCC], KEYNOTE-045 [UC], KEYNOTE-061 [G/GEJ], KEYNOTE-119 [TNBC], KEYNOTE-240 [HCC]) pembrolizumab studies. Data were pooled across tumor types for pembrolizumab and for standard-of-care (in controlled studies), and then estimates of response rate, prevalence, and receiver operating characteristics (ROC) analysis were performed over various CPS cutpoints. CPS distribution by response, tumor type, and line of therapy were also assessed.ResultsThere were 3769 treated patients with available PD-L1 CPS (pembrolizumab, n=2678; standard-of-care, n=1091). The area under the ROC curve for ORR was 0.63 (95% CI, 0.61–0.66) for pembrolizumab and 0.48 (95% CI, 0.43–0.53) for standard-of-care when a positive association was evaluated between CPS and ORR (figure 1); individual cutpoints of 1, 10, 20, and 50 were examined (table 1). Figure 2 shows a boxplot of CPS distribution for response in pembrolizumab-treated patients.Abstract 282 Table 1Response Rates and Sensitivity at Individual CPS Cutpoints for Pembrolizumab-Treated PatientsAbstract 282 Figure 1ROC analysis of PD-L1 CPS for pembrolizumab versus standard-of-care therapyAbstract 282 Figure 2Boxplot of PD-L1 CPS distribution for responders versus nonresponders in pembrolizumab-treated patients by tumor type and line of therapy in order of descending median CPSConclusionsThis retrospective, exploratory pan-tumor analysis demonstrates that CPS is an effective scoring method for measuring PD-L1 expression and can be used as a predictive biomarker to identify patients likely to respond to pembrolizumab monotherapy. CPS demonstrated enrichment of response to pembrolizumab monotherapy across most, but not all, tumor types, including some tumor types for which efficacy favors pembrolizumab regardless of PD-L1 expression, and for which a companion diagnostic is therefore not needed. In the randomized studies, CPS did not show a consistent association with ORR for standard-of-care therapy.

2018 ◽  
Vol 143 (3) ◽  
pp. 330-337 ◽  
Author(s):  
Karina Kulangara ◽  
Nancy Zhang ◽  
Ellie Corigliano ◽  
Lindsay Guerrero ◽  
Stephanie Waldroup ◽  
...  

Context.— Regulatory approval of pembrolizumab for treatment of gastric and gastroesophageal junction (G/GEJ) adenocarcinoma required a reproducible scoring method for use of programmed death ligand-1 (PD-L1) protein expression as a companion diagnostic to identify likely responders to therapy. Objective.— To develop an immunohistochemical scoring algorithm that includes PD-L1 expression for tumor and immune cells, that is, the combined positive score. Design.— Four previously treated tumor types in the KEYNOTE-012 and KEYNOTE-028 studies were analyzed descriptively with a version of the PD-L1 immunohistochemical 22C3 pharmDx assay labeled for investigational use only to determine the relative importance of PD-L1 expression in tumor versus immune cells as a biomarker for pembrolizumab response. A combined positive score was developed as a novel scoring method and was compared with the tumor proportion score in cohort 1 from the KEYNOTE-059 study (G/GEJ cancer). External reproducibility was assessed. Results.— Per combined positive score cutoff of 1 or more, the prevalence of PD-L1 expression in patients with G/GEJ cancer was 57.6% (148 of 257 patients), with reasonable enrichment of responses (odds ratio, 2.8). Per tumor proportion score cutoff of 1% or more, prevalence was 12.5% (32 of 257 patients), with minimal enrichment (odds ratio, 1.4). External reproducibility assessments demonstrated interpathologist overall agreement of 96.6% (591 of 612; 95% CI, 94.0%–98.7%) and intrapathologist overall agreement of 97.2% (595 of 612; 95% CI, 95.3%–98.9%). Conclusions.— Combined positive score is a robust, reproducible PD-L1 scoring method that predicts response to pembrolizumab in patients with G/GEJ cancer. This novel scoring method supported US Food and Drug Administration approval of pembrolizumab as third-line therapy for G/GEJ cancer and has facilitated investigation in other indications.


2017 ◽  
Vol 35 (15_suppl) ◽  
pp. e14589-e14589 ◽  
Author(s):  
Karina Kulangara ◽  
Debra Ann Hanks ◽  
Stephanie Waldroup ◽  
Lindsay Peltz ◽  
Supriya Shah ◽  
...  

e14589 Background: Developing clinically relevant and highly reproducible scoring methods for PD-L1 to identify patients who will respond effectively to anti-PD-1 therapy is key in the development of companion or complementary diagnostic assays. Methods: Scoring method for PD-L1 IHC 22C3 pharmDx in NSCLC have only captured the percentage on stained tumor cells using the tumor proportion score (TPS) (Roach et al. 2016, Appl Immunohistochem Mol Morphol.) (Garon et al. 2015, N Engl J Med.). In the KN012 study 2 out of 11 responders to pembrolizumab were detected with the TPS for the gastric indication. More and more additional data indicate that in some tumor indications PD-L1 staining on both tumor and tumor-associated immune cells is associated with clinical outcome. Therefore a method evaluating both tumor and immune cells in one sitting using the combined positive score was evaluated. Results: Scoring the same patient specimens with the new combined positive score method resulted in the detection of 9 out of 11 responders. Our internal inter- and intra- observer data shows that the CPS can be scored reproducibly with an overall agreement point estimates of 93% for intra-observer and an overall agreement of 87.6% for inter-observer reproducibility in gastric carcinoma. Additionally, CPS builds on the scoring method for NSCLC as it shares the same denominator, namely total number of tumor cells. CPS is evaluated based on the number of PD-L1 positive cells (tumor, lymphocytes and macrophages) in relation to total tumor cells, and hence allows the capture of tumor and immune cells in a single read. Conclusions: Our data demonstrates that the CPS scoring method is reproducible when scored by pathologists and clinically relevant for a number of indications.


2017 ◽  
Vol 35 (15_suppl) ◽  
pp. e14584-e14584
Author(s):  
Karina Kulangara ◽  
David Calcagno ◽  
Scott Boyer ◽  
Debra Ann Hanks ◽  
Holly Yamada

e14584 Background: Developing scoring methods for PD-L1 to identify patients who will respond effectively to anti-PD1 therapy is key in the development of companion and complementary diagnostic assays. The Combined Positive Score (CPS) is an elegant method for the evaluation of PD-L1 expression in solid tumors. CPS includes the number of PD-L1 positive cells (tumor, lymphocytes and macrophages) in relation to total tumor cells. The accurate manual capturing of total number of tumor cells can be a challenge to pathologists. Methods: Image analysis was used to evaluate possibledifferences in tumor density for well, moderately, and poorly differentiated ovarian epithelial serious carcinomas. Multiple regions of interest of 158 hematoxylin-stained specimens were analyzed. Algorithm parameters were systematically adjusted to minimize mean differences in tumor count relative to manually counted scores in small, user-selected regions of 33 representative specimens. Results: The average nuclei count ranged between 2000 and 7000 with ~50% falling between 4.0-5.5 x 103. Conclusions: Digital image analysis of nuclear quantification has been shown to be a useful tool to aid the pathologist with the correct assessment of the CPS score.


2020 ◽  
Vol 18 (7.5) ◽  
pp. 982-984
Author(s):  
Robert I. Haddad

Immunotherapy has changed the game in the treatment of head and neck cancer (HNC). Practice-changing results from the phase III KEYNOTE-048 trial led to the approval of pembrolizumab immunotherapy alone or in combination with chemotherapy for the treatment of recurrent/metastatic HNC in the first-line setting. Testing for combined positive score (CPS) is now part of routine practice, because patients with CPS ≥1 can be started on single-agent immunotherapy in the first-line. Pembrolizumab replaces the “old” standard of care established by the EXTREME study, as trials looking at targets besides immunotherapy have proved “disappointing.” Additionally, nivolumab and pembrolizumab are both approved for use in the second-line.


2020 ◽  
Vol 13 ◽  
pp. 2632010X2096484
Author(s):  
Sebnem Batur ◽  
Zeynep Ecem Kain ◽  
Emine Deniz Gozen ◽  
Nuray Kepil ◽  
Ovgu Aydin ◽  
...  

Aim: We aimed to show the immunohistochemical expression of programmed death ligand 1 (PD-L1) in laryngeal squamous cell carcinomas (SCCs). Materials and methods: The study includes 52 laryngeal SCC cases that underwent surgical resection. Immunohistochemical staining of PD-L1 (Clone 22C3) was applied to the sections obtained from paraffin blocks. Combined Positive Score (CPS) was evaluated as described in manuals. Tumor Proportion Score (TPS) was assessed by the percentage of positive tumor cells which were designated as positive if ⩾1% of the tumor cells showed membranous staining. Results: There were 35 cases (67.3%) having CPS < 1 and 17 cases (32.7%) having CPS ⩾ 1. There was no relationship between CPS, TPS, and the clinicopathological data. Conclusion: Further studies with a large number of advanced-stage cases are needed.


Author(s):  
Danny Rischin

AbstractSince the initial reports of activity of pembrolizumab in recurrent/metastatic head and neck squamous cell carcinoma (R/M HNSCC), investigation of the role of immune therapies has been the major focus of clinical trials in R/M HNSCC. Randomised trials initially with nivolumab and later with pembrolizumab established overall survival benefit in patients with R/M HNSCC previously treated with platinum compared to physicians choice of 2nd line therapy, and have led to regulatory approval around the world. More recently the Keynote-048 trial has compared both pembrolizumab monotherapy and pembrolizumab + platinum/5FU to the Extreme regimen of platinum/5FU/cetuximab in the first-line R/M setting. The key findings from this trial are that pembrolizumab monotherapy compared to Extreme improved overall survival in patients with PD-L1 combined positive score (CPS) ≥ 20 and ≥ 1, and that pembro/chemotherapy improved OS in CPS ≥ 20, CPS ≥ 1 and the total population. Relative to Extreme there was less toxicity in the monotherapy arm and comparable toxicity in the pembro/chemo arm. Based on this trial use of pembrolizumab as part of first-line treatment for R/M HNSCC is appropriate for the majority of patients, and represents a new standard of care. The focus has now moved to identifying combinations that may be superior to pembrolizumab monotherapy or to chemotherapy + pembrolizumab. Some of the more promising approaches under investigation in HNSCC are discussed in this chapter. In summary, immune therapies are now the cornerstone of management of R/M HNSCC with the approval of pembrolizumab in the first-line R/M setting.


2020 ◽  
Vol 8 (Suppl 3) ◽  
pp. A88-A88
Author(s):  
Jay Milo ◽  
Christopher LaPlaca ◽  
Julia Hand ◽  
Stephanie Hund ◽  
Angeliki Apostolaki ◽  
...  

BackgroundPD-L1 IHC 22C3 pharmDx uses Tumor Proportion Score (TPS) and Combined Positive Score (CPS) scoring algorithms for the immunohistochemical (IHC) evaluation of PD-L1 protein expression in human cancer tissues; both algorithms include PD-L1 staining tumor cells (TC) in scoring and CPS also includes scoring of PD-L1 staining mononuclear inflammatory cells to aid in the identification of patients for treatment with pembrolizumab (KEYTRUDA®) using indication-specific diagnostic cut-offs. This study evaluated contribution of TC in determining specimen diagnostic status based on the CPS scoring algorithm by looking into four tumor indications approved for use with KEYTRUDA®: gastric or gastroesophageal junction (GEJ) adenocarcinoma (GC/GEJ), urothelial carcinoma (UC), head and neck squamous cell carcinoma (HNSCC), and esophageal squamous cell carcinoma (ESCC). Detection of specimens expressing PD-L1 is significantly dependent on the PD-L1 staining TC component.MethodsA retrospective analysis was done looking at Dako’s internal tumor bank of the mentioned indications that were all stained with PD-L1 IHC 22C3 pharmDx and scored using the TPS, CPS and Quantitative Immune Cell Density (QID) methods described in figure 1. Statistical analysis encompassed looking at the scores generated that met the following criteria: CPS>0, TPS>0 and CPS≠TPS and then evaluating the percentage of those samples that changed from positive to negative diagnostic status upon removal of the TC component from the scoring.ResultsA noticeable downward trend was observed in all four indications in the total number of positives with the removal of the TC component. Table 1 aptly captures this by showing the number of specimens for each indication that had changed from positive to negative around each indication’s diagnostic cut-off(s). The three indications that showed the highest percentages of diagnostic status change were HNSCC (CPS ≥20) with a remarkable 83.3% (130) followed by UC (CPS ≥10) at 46.3% (57) and ESCC (CPS ≥10) at 36.6% (45) of the specimens reclassified as negative.Abstract 81 Figure 1PD-L1 Scoring AlgorithmsThe TPS algorithm (a) is defined as the number of PD-L1 staining tumor cells divided by the total number of viable TC, multiplied by 100. The CPS algorithm (b) includes TC and IC and is defined as the number of PD-L1 staining cells (TC, lymphocytes and macrophages) divided by the total number of viable TC, multiplied by 100. In addition to TPS and CPS, QID (c) was also calculated to quantify the contribution from PD-L1 expressing IC, QID is defined as the CPS minus the TPS.Abstract 81 Table 1Agilent Tumor Bank CPS and QIDConclusionsPD-L1 IHC 22C3 pharmDx (Dako, USA) stains both TC and immune cells. Removal of the PD-L1 staining TC from the CPS algorithm reduces the number of specimens scored as positive for each indication’s respective diagnostic cut-off(s). Scoring only IC reduces the number of specimens scored as positive for each indication’s respective cutoff.


2021 ◽  
Vol 9 (Suppl 3) ◽  
pp. A89-A89
Author(s):  
Sarabjot Pabla ◽  
RJ Seager ◽  
Yong Hee Lee ◽  
Erik Van Roey ◽  
Shuang Gao ◽  
...  

BackgroundWhen expressed in cancer cells, cancer testis antigens (CTAs) are highly immunogenic and have the capacity to elicit cancer-specific immune responses in diverse malignancies. With their expression limited to tumor cells, CTAs have become a prime target of natural T cell response, immune cell-based therapy, and cancer vaccines. In this study, we investigated CTA burden in real-world clinical tumors spanning multiple histologies, revealing a novel prognostic gene expression-based biomarker.MethodsTargeted RNA-seq was performed on 5450 FFPE tumors representing 39 histologic types, predominantly composed of lung cancer (40.4%) followed by colorectal cancer (10.6%) and breast cancer (8.6%). Using an amplicon-based NGS approach, expression levels of 17 CTA genes were ranked against a reference population. Cancer Testis Antigen Burden (CTAB) was calculated as the sum of the gene expression rank for each CTA gene. The median CTAB of ≥171 was used as cutoff for CTAB High versus Low classification. We estimated Pearson’s correlation for all CTA genes to discover co-expression patterns between CTAs and histologies. Overall survival (OS) analysis was performed using CoxPh regression model whereas response analysis was performed using logistic regression model with p-values reported.ResultsWithin the tumor samples, CTAB values ranged from 0–1700, with kidney cancer demonstrating overall lowest mean CTAB (110) and melanoma the highest (550). NSCLC had an average CTAB of 283. In an immune checkpoint blockade treated retrospective cohort of 110 NSCLC patients, High CTAB showed better OS compared to Low CTA (HR: 0.55, p=0.07). Additionally, when combined with tumor inflammation and cell proliferation biomarkers, highly inflamed but poorly proliferative tumors with High CTAB had improved OS (HR: 0.27, p=0.05). No significant association with response was detectedConclusionsOur studies show that co-expression of multiple CTA genes occurs in many tumor types and can be reliably detected using a targeted RNA-seq approach. Utilization of this co-expression pattern to calculate CTAB reveals tumor-type associated signatures, which in a small NSCLC cohort is associated with the overall survival. The findings suggest that these immunogenic antigens expose the tumor cells to natural or immunotherapy augmented cell-based immune response, and that CTAB is a potential predictive marker for therapeutic response to checkpoint inhibitors. Further studies are needed to establish the predictive value in other tumor types, as well as the role of CTAB in immune cell therapies and vaccinations.


2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e16518-e16518
Author(s):  
Jeong Hwan Park ◽  
Kyu Sang Lee ◽  
Euno Choi ◽  
Wonkyung Jung ◽  
Jaehong Aum ◽  
...  

e16518 Background: Programmed death ligand 1 (PD-L1) expression is a reliable biomarker of immune-checkpoint inhibitors (ICI) in multiple cancer types including urothelial carcinoma (UC). A 22C3 pharmDx immunohistochemistry was particularly determined by using the combined positive score (CPS) in UC. A challenging issue regarding the manual scoring of CPS by a pathologist is in determining the representative area to read. This requires substantial time and effort and may lead to inter-observer variation. We developed an artificial intelligence (AI)-powered CPS analyzer, to assess CPS in whole-slide images (WSI) and validated its performance by comparing against a consensus of pathologists’ readings. Methods: An AI-powered CPS analyzer, Lunit SCOPE PD-L1, has been trained and validated based on a total of 3,326,402 tumor cells, lymphocytes, and macrophages annotated by board-certified pathologists for PD-L1 positivity in 1200 WSI stained by 22C3. After excluding the in-house control tissue regions, the WSIs were divided into patches, from which a deep learning-based model was trained to detects the location and PD-L1 positivity of tumor cells, lymphocytes, and macrophages, respectively. Finally, the patch-level cell predictions were aggregated for CPS estimation. The performance of the model was validated on an external validation UC cohort consisting of two institutions: Boramae Medical Center (BMC, n = 93) and Seoul National University Bundang Hospital (SNUBH, n = 100). Three uropathologists independently annotated the CPS of the external validation cohorts, and a consensus of CPS was determined by determination of their mean values. Results: The AI-model predicts CPS accurately in an internal validation cohort as the area under the curves (AUC) values to predict PD-L1-positive tumor cell, PD-L1-positive lymphocytes or macrophages, PD-L1-negative tumor cell, and PD-L1-negative lymphocytes or macrophages were 0.929, 0.855, 0.885, and 0.872, respectively. There was a significant positive correlation between CPS by AI-model and consensus CPS by 3 pathologists in the external validation cohort (Spearman coefficient = 0.914, P < 0.001). Concordance of AI-model and pathologists' consensus to call CPS ≥ 10 was 88.1%, which was similar to that of either 2 of 3 pathologists (84.5%, 86.5%, and 90.7%). The concordance rate was not significantly different according to data source (BMC: 88.2% versus SNUBH: 88.0%, P = 1.00), but was significantly different according to type of surgery [surgical resection (cystectomy, nephrectomy, and ureterectomy): 92.3% versus transurethral resection: 81.3%, P = 0.0244]. Conclusions: Lunit SCOPE PD-L1, AI-powered CPS analyzer, can detect PD-L1 expression in tumor cells, lymphocytes or macrophages highly accurately compared to uropathologists.


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