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BACKGROUND This phase III OAK trial (NCT02008227) subgroup analysis (data cutoff, January 9, 2019) evaluated the predictive value of 2 PD-L1 IHC tests (VENTANA SP142 and Dako 22C3) for benefit from atezolizumab versus docetaxel by programmed death ligand 1 (PD-L1) status in patients with previously treated metastatic non-small cell lung cancer. METHODS PD-L1 expression was assessed prospectively with SP142 on tumor cells (TC) and tumor-infiltrating immune cells (IC) and retrospectively with 22C3 using a tumor proportion score (TPS) based on TC membrane staining. Efficacy was assessed in the 22C3 biomarker-evaluable population (22C3-BEP) (n = 577; 47.1% of SP142-intention-to-treat population) and non-22C3-BEP (n = 648) in PD-L1 subgroups (high, low, and negative) and according to selection by 1 or both assays. RESULTS In the 22C3-BEP, overall survival benefits with atezolizumab versus docetaxel were observed across PD-L1 subgroups; benefits were greatest in SP142-defined PD-L1-high (TC3 or IC3: hazard ratio [HR], 0.39 [95% confidence interval (CI), 0.25-0.63]) and 22C3-defined PD-L1-high (TPS ≥ 50%: HR, 0.56 [95% CI, 0.38-0.82]) and low (TPS, 1% to < 50%: HR, 0.55 [95% CI, 0.37-0.82]) groups. Progression-free survival improved with increasing PD-L1 expression for both assays. SP142 and 22C3 assays identified overlapping and unique patient populations in PD-L1-high, positive, and negative subgroups. Overall survival and progression-free survival benefits favored atezolizumab over docetaxel in double PD-L1-positive and negative groups; patients with both SP142- and 22C3-positive tumors derived the greatest benefit. CONCLUSIONS Despite different scoring algorithms and differing sensitivity levels, the SP142 and 22C3 assays similarly predicted atezolizumab benefit at validated PD-L1 thresholds in patients with non-small cell lung cancer.

Introduction We report the final overall survival (OS) analyses of atezolizumab-carboplatin-paclitaxel (ACP [experimental arm]) and OS data with approximately 39.8 months of median follow-up with atezolizumab-bevacizumab-carboplatin-paclitaxel (ABCP) versus bevacizumab-carboplatin-paclitaxel (BCP) in chemotherapy-naive patients with metastatic nonsquamous NSCLC in the phase 3 IMpower150 study (NCT02366143). Methods In this randomized, open-label study (N = 1202), coprimary end points included investigator-assessed progression-free survival and OS in intention-to-treat (ITT) wild-type (WT; no EGFR or ALK alterations) patients. Secondary and exploratory end points included OS in ITT and programmed death-ligand 1 (PD-L1) subgroups defined by the VENTANA SP142 and SP263 immunohistochemistry assays. Results At the final analysis with ACP versus BCP (data cutoff: September 13, 2019; minimum follow-up: 32.4 mo), ACP had numerical, but not statistically significant, improvements in OS (ITT-WT: median OS = 19.0 versus 14.7 mo; hazard ratio = 0.84; 95% confidence interval: 0.71–1.00). OS benefit was sustained with ABCP versus BCP (ITT-WT: 19.5 versus 14.7 mo; hazard ratio = 0.80; 95% confidence interval: 0.67–0.95). Exploratory analyses in the SP142-defined PD-L1 subgroups revealed longer median OS with ABCP and ACP versus BCP in PD-L1–high and PD-L1–positive subgroups; in the PD-L1–negative subgroups, median OS was similar with ACP and ABCP versus BCP. Safety was consistent with that in earlier analyses (data cutoff: January 22, 2018). Conclusions At the final IMpower150 OS analysis, ACP had numerical, but not statistically significant, OS improvement versus BCP. Updated data with an additional 20 months of follow-up revealed continued OS improvement with ABCP versus BCP in all patients.

PURPOSE: IMpower133 (ClinicalTrials.gov identifier: NCT02763579 ), a randomized, double-blind, phase I/III study, demonstrated that adding atezolizumab (anti-programmed death-ligand 1 [PD-L1]) to carboplatin plus etoposide (CP/ET) for first-line (1L) treatment of extensive-stage small-cell lung cancer (ES-SCLC) resulted in significant improvement in overall survival (OS) and progression-free survival (PFS) versus placebo plus CP/ET. Updated OS, disease progression patterns, safety, and exploratory biomarkers (PD-L1, blood-based tumor mutational burden [bTMB]) are reported. PATIENTS AND METHODS: Patients with untreated ES-SCLC were randomly assigned 1:1 to receive four 21-day cycles of CP (area under the curve 5 mg per mL/min intravenously [IV], day 1) plus ET (100 mg/m2 IV, days 1-3) with atezolizumab (1,200 mg IV, day 1) or placebo, and then maintenance atezolizumab or placebo until unacceptable toxicity, disease progression, or loss of clinical benefit. Tumor specimens were collected; PD-L1 testing was not required for enrollment. The two primary end points, investigator-assessed PFS and OS, were statistically significant at the interim analysis. Updated OS and PFS and exploratory biomarker analyses were conducted. RESULTS: Patients received atezolizumab plus CP/ET (n = 201) or placebo plus CP/ET (n = 202). At the updated analysis, median follow-up for OS was 22.9 months; 302 deaths had occurred. Median OS was 12.3 and 10.3 months with atezolizumab plus CP/ET and placebo plus CP/ET, respectively (hazard ratio, 0.76; 95% CI, 0.60 to 0.95; descriptive P = .0154). At 18 months, 34.0% and 21.0% of patients were alive in atezolizumab plus CP/ET and placebo plus CP/ET arms, respectively. Patients derived benefit from the addition of atezolizumab, regardless of PD-L1 immunohistochemistry or bTMB status. CONCLUSION: Adding atezolizumab to CP/ET as 1L treatment for ES-SCLC continued to demonstrate improved OS and a tolerable safety profile at the updated analysis, confirming the regimen as a new standard of care. Exploratory analyses demonstrated treatment benefit independent of biomarker status.

Purpose: Stabilization of the transcription factor NRF2 through genomic alterations in KEAP1 and NFE2L2 occurs in a quarter of patients with lung adenocarcinoma and a third of patients with lung squamous cell carcinoma. In lung adenocarcinoma, KEAP1 loss often co-occurs with STK11 loss and KRAS-activating alterations. Despite its prevalence, the impact of NRF2 activation on tumor progression and patient outcomes is not fully defined. Experimental Design: We model NRF2 activation, STK11 loss, and KRAS activation in vivo using novel genetically engineered mouse models. Furthermore, we derive a NRF2 activation signature from human non–small cell lung tumors that we use to dissect how these genomic events impact outcomes and immune contexture of participants in the OAK and IMpower131 immunotherapy trials. Results: Our in vivo data reveal roles for NRF2 activation in (i) promoting rapid-onset, multifocal intrabronchiolar carcinomas, leading to lethal pulmonary dysfunction, and (ii) decreasing elevated redox stress in KRAS-mutant, STK11-null tumors. In patients with nonsquamous tumors, the NRF2 signature is negatively prognostic independently of STK11 loss. Patients with lung squamous cell carcinoma with low NRF2 signature survive longer when receiving anti–PD-L1 treatment. Conclusions: Our in vivo modeling establishes NRF2 activation as a critical oncogenic driver, cooperating with STK11 loss and KRAS activation to promote aggressive lung adenocarcinoma. In patients, oncogenic events alter the tumor immune contexture, possibly having an impact on treatment responses. Importantly, patients with NRF2-activated nonsquamous or squamous tumors have poor prognosis and show limited response to anti–PD-L1 treatment.

Background The efficacy and safety of the anti–programmed death ligand 1 (PD-L1) monoclonal antibody atezolizumab, as compared with those of platinum-based chemotherapy, as first-line trea...

BackgroundModern machine learning (ML) models based on highly multivariate attribute sets (e.g. unbiased -omics data) can be very successful at generating clinically useful predictions, but at the price of less transparency in how individual attributes are used to make those predictions. In short, ML test algorithms tend to be ”black boxes”. Shapley values (SVs)1 describe the relative importance of the attributes used within a multivariate test to the generation of the test result for an individual patient.2 While typically the calculation of SVs is computationally prohibitive, our ML architecture permits the generation of SVs for large patient cohorts. In this study, we evaluate SVs for the Anti-PD-L1 Response Test (ART), that was shown in independent validation to predict outcomes for patients treated with atezolizumab,3 for the POPLAR Ph2 and OAK Ph3 studies of non-small cell lung cancer (NSCLC) patients .4 5Abstract 831 Figure 1Radar plots illustrating the values of the 10 most important SVs for test classification generation for two samples classified as poor (A and B) and two samples classified as good (C and D). Positive SVs are shown in red and negative SVs are shown in blueAbstract 831 Figure 2Heatmaps of the SVs for samples classified as poor showing two subgroups (top and bottom, separated by horizontal line) with different patterns of SVs for (A) POPLAR and (B) OAKAbstract 831 Figure 3Heatmaps of the SVs for samples classified as good showing three subgroups, top, middle, and bottom, separated by horizontal lines) with different patterns of SVs for (A) POPLAR and (B) OAKMethodsART results, Good or Poor had been produced for 262 patients in POPLAR (NCT01903993) and 786 patients in OAK (NCT02008227). Exact SVs were generated for each pretreatment serum sample for each of the 93 attributes (proteomic features) used in the test. The distribution of SVs across the cohort was investigated to assess the relative importance of each feature to test classification. Subgroups of patients with similar patterns of SVs were identified using t-sne plots and ML methods in the POPLAR cohort and validated in the OAK cohort.ResultsThe SV distributions showed that the features influencing ART classification most were similar in both POPLAR and OAK. The relative importance of features to test classification differed between patients (figure 1), but subgroups of patients within test classification groups showed similar patterns of SVs (figures 2 and 3). Such patient subgroups, identified within POPLAR, were also found in the OAK cohort and were associated with differences in outcome and/or differences in patient characteristics.ConclusionsSVs can explain how complex ML-based tests combine molecular attributes to produce individual patient results. Exact SVs can be obtained for certain ML architectures used in molecular test development, revealing the overall relative importance of attributes used in such molecular tests. Subgrouping of patients with the same test classification by different patterns of SVs is possible. This may reveal different biologies contributing to a Good or Poor phenotype and inform translational studies.Trial RegistrationClinicalTrialsgov NCT01903993 and NCT02008227ReferencesShapley L. A value for n-person games. Contributions to the Theory of Games. 1953;2.28:307–317.Roder J, Maguire L, Georgantas R, Roder H. Explaining multivariate molecular diagnostic tests via Shapley values. BMC Med Inform Decis Mak 2021;21(1):211.Kowanetz M, Leng N, Roder J, et al. Evaluation of immune-related markers in the circulating proteomic and their association with atezolizumab efficacy in patients with 2L+ NSCLC. J Immunother Cancer 2018;6(Suppl1):114.Fehrenbacher L, Spira A, Ballinger M, et al. Atezolizumab versus docetaxel for patients with previously treated non-small-cell lung cancer (POPLAR): a multicentre, open-label, phase 2 randomised controlled trial. Lancet 2016;387(10030):1837–1846.Rittmeyer A, Barlesi F, Waterkamp D, et al. Atezolizumab versus docetaxel in patients with previously treated non-small-cell lung cancer (OAK): a phase 3, open-label, multicenter randomized controlled trial. Lancet 2017;389(10066):255–265.Ethics ApprovalThe OAK study that was done in 194 academic medical centers and community oncology practices across 31 countries worldwide. The study was done in full accordance with the guidelines for Good Clinical Practice and the Declaration of Helsinki. All patients gave written informed consent.The POPLAR trial was done at 61 academic medical centers and community oncology practices across 13 countries in Europe and North America. The study was done in full accordance with the guidelines for Good Clinical Practice and the Declaration of Helsinki. Protocol (and modification) approval was obtained from anindependent ethics committee for each site. Patients gave written informed consent.

Background Novel adjuvant strategies are needed to optimise outcomes after complete surgical resection in patients with early-stage non-small-cell lung cancer (NSCLC). We aimed to evaluate adjuvant atezolizumab versus best supportive care after adjuvant platinum-based chemotherapy in these patients. Methods IMpower010 was a randomised, multicentre, open-label, phase 3 study done at 227 sites in 22 countries and regions. Eligible patients were 18 years or older with completely resected stage IB (tumours ≥4 cm) to IIIA NSCLC per the Union Internationale Contre le Cancer and American Joint Committee on Cancer staging system (7th edition). Patients were randomly assigned (1:1) by a permuted-block method (block size of four) to receive adjuvant atezolizumab (1200 mg every 21 days; for 16 cycles or 1 year) or best supportive care (observation and regular scans for disease recurrence) after adjuvant platinum-based chemotherapy (one to four cycles). The primary endpoint, investigator-assessed disease-free survival, was tested hierarchically first in the stage II-IIIA population subgroup whose tumours expressed PD-L1 on 1% or more of tumour cells (SP263), then all patients in the stage II-IIIA population, and finally the intention-to-treat (ITT) population (stage IB-IIIA). Safety was evaluated in all patients who were randomly assigned and received atezolizumab or best supportive care. IMpower010 is registered with ClinicalTrials.gov, NCT02486718 (active, not recruiting). Findings Between Oct 7, 2015, and Sept 19, 2018, 1280 patients were enrolled after complete resection. 1269 received adjuvant chemotherapy, of whom 1005 patients were eligible for randomisation to atezolizumab (n=507) or best supportive care (n=498); 495 in each group received treatment. After a median follow-up of 32·2 months (IQR 27·4-38·3) in the stage II-IIIA population, atezolizumab treatment improved disease-free survival compared with best supportive care in patients in the stage II-IIIA population whose tumours expressed PD-L1 on 1% or more of tumour cells (HR 0·66; 95% CI 0·50-0·88; p=0·0039) and in all patients in the stage II-IIIA population (0·79; 0·64-0·96; p=0·020). In the ITT population, HR for disease-free survival was 0·81 (0·67-0·99; p=0·040). Atezolizumab-related grade 3 and 4 adverse events occurred in 53 (11%) of 495 patients and grade 5 events in four patients (1%). Interpretation IMpower010 showed a disease-free survival benefit with atezolizumab versus best supportive care after adjuvant chemotherapy in patients with resected stage II-IIIA NSCLC, with pronounced benefit in the subgroup whose tumours expressed PD-L1 on 1% or more of tumour cells, and no new safety signals. Atezolizumab after adjuvant chemotherapy offers a promising treatment option for patients with resected early-stage NSCLC. Funding F Hoffmann-La Roche and Genentech.

Introduction IMpower110 previously revealed significant overall survival (OS) benefit with atezolizumab versus chemotherapy in patients with treatment-naive EGFR- and ALK-negative (wild type [WT]) metastatic NSCLC with high programmed death-ligand 1 (PD-L1) expression (≥50% on tumor cells [TCs] or ≥10% on tumor-infiltrating immune cells [ICs], per SP142 immunohistochemistry assay; p = 0.0106). We present primary OS analyses in lower PD-L1 expression groups and an updated, exploratory analysis in the high PD-L1 expression group. Methods This open-label, phase 3 trial randomized patients with PD-L1 expression on greater than or equal to 1% of TC or IC to receive atezolizumab or platinum-based chemotherapy. The primary end point was OS, hierarchically tested in PD-L1 expression WT subgroups: first the high PD-L1 expression subgroup, then the high-or-intermediate PD-L1 expression subgroup (≥5% on TC or IC), and then the any PD-L1 expression subgroup (≥1% on TC or IC). Results The any PD-L1 expression WT population included 554 patients (excluded 18 EGFR- or ALK-positive patients). With 17 months’ additional follow-up, OS improvement in the atezolizumab versus chemotherapy arm was not statistically significant in high-or-intermediate PD-L1 expression WT patients (n = 328; hazard ratio = 0.87, 95% confidence interval: 0.66–1.14, p = 0.3091; median = 19.9 versus 16.1 mo), precluding formal OS testing in any PD-L1 expression WT patients. Exploratory analysis in high PD-L1 expression WT patients (n = 205) revealed maintained OS benefit in the atezolizumab arm (hazard ratio = 0.76, 95% confidence interval: 0.54–1.09; median = 20.2 versus 14.7 mo). Updated safety data continued to favor atezolizumab. Conclusions Statistical significance for OS was not revealed in the high-or-intermediate expression WT group, and, as a result, OS in the any PD-L1 expression WT group was not formally tested. No new safety signals were found. This updated analysis of IMpower110 supports using atezolizumab in treatment-naive, metastatic WT NSCLC with high PD-L1 expression.

BackgroundCD8+ tissue-resident memory T (TRM) cells, marked by CD103 (ITGAE) expression, are thought to actively suppress cancer progression, leading to the hypothesis that their presence in tumors may predict response to immunotherapy.MethodsHere, we test this by combining high-dimensional single-cell modalities with bulk tumor transcriptomics from 1868 patients enrolled in lung and bladder cancer clinical trials of atezolizumab (anti-programmed cell death ligand 1 (PD-L1)).ResultsITGAE was identified as the most significantly upregulated gene in inflamed tumors. Tumor CD103+ CD8+ TRM cells exhibited a complex phenotype defined by the expression of checkpoint regulators, cytotoxic proteins, and increased clonal expansion.ConclusionsOur analyses indeed demonstrate that the presence of CD103+ CD8+ TRM cells, quantified by tracking intratumoral CD103 expression, can predict treatment outcome, suggesting that patients who respond to PD-1/PD-L1 blockade are those who exhibit an ongoing antitumor T-cell response.

BackgroundBiomarkers of immune checkpoint inhibitor (ICI) efficacy can be used for patient selection. PD-L1 expression in tumor tissue is used to determine eligibility for combination or monotherapy in 1st line NSCLC.1, 2 The liquid-biopsy mass spectrometry-based PIR test was developed to capture the role of patient biology on ICI outcomes.3 The test, stratifying patients into Resistant, Intermediate, and Sensitive groups, was associated with outcome on nivolumab treatment in 2nd line NSCLC patients.3 In this study, we blind validated PIR classifications in two large clinical studies (POPLAR4 and OAK5) of advanced NSCLC patients treated in the second or third line with atezolizumab.MethodsPretreatment serum samples from patients assigned to receive atezolizumab in the two studies (POPLAR (NCT01903993) and OAK (NCT02008227)) underwent PIR testing blinded to all clinical data. Association of test classification, as Sensitive vs Not Sensitive (Resistant+Intermediate) and Resistant vs Not Resistant (Sensitive+Intermediate), with overall survival (OS) and progression-free survival (PFS) was investigated using Cox proportion hazards models in univariate and multivariate analysis.ResultsPIR classifications were generated for 133 (POPLAR) and 403 (OAK) samples; the remaining available samples failed test QC, mainly due to hemolysis. PIR classified the POPLAR samples as 53 (40%) Resistant, 25 (19%) Intermediate, 55 (41%) Sensitive and the OAK samples as 154 (38%) Resistant, 89 (22%) Intermediate, and 160 (40%) Sensitive. In both cohorts, OS and PFS were better in the Not Resistant vs Resistant group (figure 1). OS and PFS were superior in the Sensitive vs Not Sensitive group in the POPLAR cohort, while OS was better and PFS showed indications of superiority in the OAK cohort (figure 2). Multivariate analysis within the OAK cohort showed that test classification predicted OS when adjusted for baseline factors, including PD-L1 negative vs positive, with hazard ratio 0.51 (95% confidence interval (CI) 0.40–0.65) for Resistant vs Not Resistant and 0.65 (CI: 0.50–0.83) for Sensitive vs Not Sensitive.Abstract 23 Figure 1Kaplan-Meier plots of OS and PFS by test classification Resistant vs Not Resistant for the POPLAR and OAK cohortsAbstract 23 Figure 2Kaplan-Meier plots of OS and PFS by test classification Not Sensitive vs Sensitive for the POPLAR and OAK cohortsConclusionsThe PIR test stratified outcomes for patients treated with atezolizumab in second and third line NSCLC even when adjusted for PD-L1 expression. The combination of both tumor and host biomarkers appears to provide a more specific prognosis of NSCLC treated with ICIs.Trial Registration clinicaltrials.gov NCT01903993 and NCT02008227ReferencesRoy S Herbst, Giuseppe Giaccone, Filippo de Marinis et al. Atezolizumab for first-line treatment of PD-L1-selected patients with NSCLC. N Engl J Med 2020 Oct 1;383(14):1328–1339Tony S K Mok, Yi-Long Wu, Iveta Kudaba et al. Pembrolizumab versus chemotherapy for previously untreated, PD-L1-expressing, locally advanced or metastatic non-small-cell lung cancer (KEYNOTE-042): a randomised, open-label, controlled, phase 3 trial. Lancet 2019 May 4;393(10183):1819–1830.Muller M, Hummelink K, Hurkmans D, et al. A serum protein classifier identifying patients with advanced non-small cell lung cancer who derive clinical benefit from treatment with immune checkpoint inhibitors. Clin Cancer Res 2020;26(19):5188–5197.Fehrenbacher L, Spira A, Ballinger M, et al. Atezolizumab versus docetaxel for patients with previously treated non-small-cell lung cancer (POPLAR): a multicentre, open-label, phase 2 randomised controlled trial. Lancet 2016;387(10030):1837–1846.Rittmeyer A, Barlesi F, Waterkamp D, et al. Atezolizumab versus docetaxel in patients with previously treated non-small-cell lung cancer (OAK): a phase 3, open-label, multicenter randomized controlled trial. Lancet 2017;389(10066):255–265.Ethics ApprovalThe OAK study was done in 194 academic medical centers and community oncology practices across 31 countries worldwide. The study was done in full accordance with the guidelines for Good Clinical Practice and the Declaration of Helsinki. All patients gave written informed consent.The POPLAR trial was done at 61 academic medical centers and community oncology practices across 13 countries in Europe and North America. The study was done in full accordance with the guidelines for Good Clinical Practice and the Declaration of Helsinki. Protocol (and modification) approval was obtained from an independent ethics committee for each site. Patients gave written informed consent.

We report the final results of the phase 3 IMpower132 study evaluating atezolizumab plus carboplatin or cisplatin plus pemetrexed (APP) in patients with nonsquamous NSCLC.Chemotherapy-naive patients with stage IV nonsquamous NSCLC without sensitizing EGFR or ALK genetic alterations were randomized in a one-to-one ratio to receive four or six cycles of carboplatin or cisplatin plus pemetrexed (PP) or APP every 3 weeks, followed by maintenance therapy with atezolizumab plus pemetrexed or pemetrexed alone. Co-primary end points were overall survival (OS) and investigator-assessed progression-free survival (PFS).The intention-to-treat population included 578 patients (APP, n = 292; PP, n = 286). At the primary PFS analysis (May 22, 2018; median follow-up, 14.8 mo), APP exhibited significant PFS improvement versus PP (median = 7.6 versus 5.2 mo, stratified hazard ratio [HR] = 0.60, 95% confidence interval [CI]: 0.49-0.72, p0.0001). OS for the APP group was numerically better but not statistically significant at the interim (May 22, 2018; median = 18.1 versus 13.6 mo, stratified HR = 0.81, 95% CI: 0.64-1.03, p = 0.0797) and final analyses (July 18, 2019; median = 17.5 versus 13.6 mo; stratified HR = 0.86, 95% CI: 0.71-1.06, p = 0.1546). The OS and PFS results favored APP versus PP across subgroups. Grade 3 or 4 treatment-related adverse events occurred in 54.6% (APP) and 40.1% (PP) of patients; grade 5 treatment-related events occurred in 3.8% and 2.9%, respectively.IMpower132 met its co-primary PFS end point but not its co-primary OS end point, with numerical improvement for OS in the APP arm. APP had a manageable safety profile, with no new or unexpected safety signals identified.

Background PD-L1/PD-1 inhibitors (CPI) as monotherapy or in combination with platinum-based doublet chemo (± bevacizumab) are 1L treatment options in metastatic NSCLC, with choice of agent(s) determined by PD-L1 expression. For patients (pts) who may be ineligible for combination therapy, CPI monotherapy remains an attractive treatment choice. IMpower110 evaluated atezo as 1L treatment in PD-L1–selected pts independent of tumor histology. Methods IMpower110 enrolled 572 chemo-naive pts with stage IV nonsquamous (nsq) or squamous (sq) NSCLC, PD-L1 expression ≥ 1% on TC or IC, measurable disease by RECIST 1.1 and ECOG PS 0-1. Pts were randomized 1:1 to receive atezo 1200 mg IV q3w (Arm A) or platinum-based chemo (Arm B; 4 or 6 21-day cycles). Arm B nsq pts received cisplatin (cis) 75 mg/m2 or carboplatin (carbo) AUC 6 + pemetrexed 500 mg/m2 IV q3w; Arm B sq pts received cis 75 mg/m2 + gemcitabine (gem) 1250 mg/m2 or carbo AUC 5 + gem 1000 mg/m2 IV q3w. Stratification factors were sex, ECOG PS, histology and tumor PD-L1 status (TC1/2/3 and any IC vs TC0 and IC1/2/3). The primary endpoint of OS is tested hierarchically in the wild-type (WT; EGFR/ALK-negative) population (TC3 or IC3 then TC2/3 or IC2/3 then TC1/2/3 or IC1/2/3). Results The 3 primary efficacy populations included 554 TC1/2/3 or IC1/2/3 WT pts, 328 TC2/3 or IC2/3 WT pts and 205 TC3 or IC3 WT pts. Median follow-up was 15.7 months (range, 0-35) in TC3 or IC3 WT pts. In the TC3 or IC3 WT population, atezo monotherapy improved median OS by 7.1 months (HR, 0.595; P = 0.0106) compared with chemo (table 1). The safety population comprised 286 pts in Arm A and 263 in Arm B. Treatment-related AEs (TRAEs) and Grade 3-4 TRAEs occurred in 60.5% (Arm A) and 85.2% (Arm B), and 12.9% (Arm A) and 44.1% (Arm B), respectively. Conclusions At this interim analysis, IMpower110 met the primary endpoint of OS with statistically significant and clinically meaningful improvement in the TC3 or IC3 WT population. The safety profile favored Arm A, with no new or unexpected safety signals identified. Trial Registration NCT02409342 Ethics Approval The trial was conducted according to the principles of the Declaration of Helsinki. All patients provided written informed consent. Protocol approval was obtained from independent review boards or ethics committees at each site.

Introduction Cytotoxic agents have immunomodulatory effects, providing a rationale for combining atezolizumab (anti-programmed death-ligand 1 [anti–PD-L1]) with chemotherapy. The randomized phase III IMpower131 study (NCT02367794) evaluated atezolizumab with platinum-based chemotherapy in stage IV squamous NSCLC. Methods A total of 1021 patients were randomized 1:1:1 to receive atezolizumab+carboplatin+paclitaxel (A+CP) (n = 338), atezolizumab+carboplatin+nab-paclitaxel (A+CnP) (n = 343), or carboplatin+nab-paclitaxel (CnP) (n = 340) for four or six 21-day cycles; patients randomized to the A+CP or A+CnP arms received atezolizumab maintenance therapy until progressive disease or loss of clinical benefit. The coprimary end points were investigator-assessed progression-free survival (PFS) and overall survival (OS) in the intention-to-treat (ITT) population. The secondary end points included PFS and OS in PD-L1 subgroups and safety. The primary PFS (January 22, 2018) and final OS (October 3, 2018) for A+CnP versus CnP are reported. Results PFS improvement with A+CnP versus CnP was seen in the ITT population (median, 6.3 versus 5.6 mo; hazard ratio [HR] = 0.71, 95% confidence interval [CI]: 0.60–0.85; p = 0.0001). Median OS in the ITT population was 14.2 and 13.5 months in the A+CnP and CnP arms (HR = 0.88, 95% CI: 0.73–1.05; p = 0.16), not reaching statistical significance. OS improvement with A+CnP versus CnP was observed in the PD-L1–high subgroup (HR = 0.48, 95% CI: 0.29–0.81), despite not being formally tested. Treatment-related grade 3 and 4 adverse events and serious adverse events occurred in 68.0% and 47.9% (A+CnP) and 57.5% and 28.7% (CnP) of patients, respectively. Conclusions Adding atezolizumab to platinum-based chemotherapy significantly improved PFS in patients with first-line squamous NSCLC; OS was similar between the arms.

BackgroundThe efficacy of atezolizumab (A) and/or bevacizumab (B) with carboplatin/paclitaxel (CP) chemotherapy was explored in the phase III, randomized IMpower150 study in patients with non-squamous non-small cell lung cancer (NSCLC) according to KRAS mutations (mKRAS) and co-occurring STK11, KEAP1, or TP53 mutations.MethodsMutation status was determined by circulating tumor DNA next-generation sequencing. Overall survival (OS) and progression-free survival (PFS) were analyzed in a mutation-evaluable intention-to-treat population (MEP; n=920) and SP263 (programmed cell death ligand 1 (PD-L1)) biomarker-evaluable population (n=774).ResultsWithin the mKRAS population (24.5% of MEP), ABCP showed numerical improvements vs BCP in median OS (19.8 vs 9.9 months; HR 0.50; 95% CI 0.34 to 0.72) and PFS (8.1 vs 5.8 months; HR 0.42; 95% CI 0.29 to 0.61)—greater than with ACP (OS: 11.7 vs 9.9 months; HR 0.63; 95% CI 0.43 to 0.91; PFS: 4.8 vs 5.8 months; HR 0.80; 95% CI 0.56 to 1.13) vs BCP. Across PD-L1 subgroups in mKRAS patients, OS and PFS were longer with ABCP vs BCP, but OS with ACP was similar to BCP in PD-L1-low and PD-L1-negative subgroups. Conversely, in KRAS-WT patients, OS was longer with ACP than with ABCP or BCP across PD-L1 subgroups. KRAS was frequently comutated with STK11, KEAP1, and TP53; these subgroups conferred different prognostic outcomes. Within the mKRAS population, STK11 and/or KEAP1 mutations were associated with inferior OS and PFS across treatments compared with STK11-WT and/or KEAP1-WT. In mKRAS patients with co-occurring mSTK11 and/or mKEAP1 (44.9%) or mTP53 (49.3%), survival was longer with ABCP than with ACP or BCP.ConclusionsThese analyses support previous findings of mutation of STK11 and/or KEAP1 as poor prognostic indicators. While clinical efficacy favored ABCP and ACP vs BCP in these mutational subgroups, survival benefits were greater in the mKRAS and KEAP1-WT and STK11-WT population vs mKRAS and mKEAP1 and mSTK11 population, suggesting both prognostic and predictive effects. Overall, these results suggest that atezolizumab combined with bevacizumab and chemotherapy is an efficacious first-line treatment in metastatic NSCLC subgroups with mKRAS and co-occurring STK11 and/or KEAP1 or TP53 mutations and/or high PD-L1 expression.

Introduction: Cancer immunotherapy has revolutionized the treatment of patients with advanced or metastatic non-small cell lung cancer (NSCLC). However, specific patient groups (e.g. patients with activating epidermal growth factor receptor [EGFR] mutations) do not appear to derive benefit from immune checkpoint inhibitor (ICI) monotherapy. Combining ICIs, such as atezolizumab, with chemotherapy and/or targeted therapies may help to address this unmet need.Areas covered: Atezolizumab is an anti-programmed death-ligand 1 therapy for several tumor types. We review its clinical efficacy and safety in the treatment of advanced or metastatic NSCLC, with a specific focus on the combination of atezolizumab with bevacizumab, carboplatin, and paclitaxel (ABCP). Data from IMpower150 show that the ABCP regimen provided clinical benefit to patients with non-squamous NSCLC, including those with EGFR mutations.Expert opinion: Combining ICIs with chemotherapy has proven to be superior to chemotherapy alone. However, tumor resistance to ICIs will likely increase as these drugs enter earlier lines of therapy, underscoring a need for effective treatments when immunotherapy fails. Data suggest that the ABCP regimen may circumvent ICI resistance mechanisms. Continued investigation into the regimen's mechanisms, improved patient profiling/selection, and treatment personalization will drive further development/discoveries.

BackgroundImmunotherapy has become a key element in the arsenal of treatments for advanced non-small cell lung cancer (NSCLC). The anti-PD-L1 Response Test (ART), based on mass spectrometry of pretreatment serum, captures the effect of host biology on outcomes after atezolizumab (A) therapy. It stratified outcomes on A and was predictive of benefit of A over docetaxel (D) in a blinded, retrospective study of 2nd and 3rd line NSCLC patients in the POPLAR Ph2 clinical study.1 Our current work applies the test to the larger OAK NSCLC Ph3 clinical study2 to investigate the interplay between tumor PD-L1 expression and ART classifications in predicting outcomes and benefit from A therapy.MethodsPretreatment serum samples from 823 of the 850 patients in the OAK study (NCT02008227) were analyzed with ART blinded to all clinical data. The ART assigns a result of Good or Poor corresponding to better or worse outcomes on A. Association of test classification with overall survival (OS) within and between treatment arms was investigated using Cox proportion hazards models overall and within PD-L1 subgroups defined by SP142 assay.3ResultsTest classifications were generated for 786 (96%) samples; the remaining samples failed test QC, mainly due to hemolysis. A Good classification was assigned to 359 (46%) samples and a Poor classification to 427 (54%) samples. Overall, OS was better for the Good subgroup than the Poor subgroup within both arms, arm A (hazard ratio (HR)=0.52 (95% Confidence Interval (CI): 0.41–0.66)) and arm D (HR=0.54 (CI:0.43–0.68)). The test was not predictive of benefit of A over D, but was prognostic for both A and D. Patients classified as Good had better outcomes than those classified as Poor in both treatment arms for all PD-L1 subgroups investigated (figure 1). Benefit of A vs D was found in both test classification groups for PD-L1 positive patients (table 1).Abstract 28 Figure 1Kaplan-Meier plots of OS by test classification, Good and Poor, and treatment arm, A and D, within PD-L1 subgroupsAbstract 28 Table 1Hazard ratios between A and D by test classification group and PD-L1 subgroupConclusionsInformation on both tumor and host are essential to predict outcomes of immunotherapy and chemotherapy in NSCLC patients.Trial RegistrationClinicalTrials.gov NCT02008227ReferencesKowanetz M, Leng N, Roder J, et al. Evaluation of immune-related markers in the circulating proteomic and their association with atezolizumab efficacy in patients with 2L+ NSCLC. J Immunother Cancer 2018;6(Suppl1):114.Rittmeyer A, Barlesi F, Waterkamp D, et al. Atezolizumab versus docetaxel in patients with previously treated non-small-cell lung cancer (OAK): a phase 3, open-label, multicenter randomized controlled trial. Lancet 2017;389(10066):255–265.Herbst R, Giaccone G, de Marinis F, et al. Atezolizumab for first-line treatment of PD-L1-selected patients with NSCLC. N Engl J Med 2020;383:1328–1339.Ethics ApprovalThe OAK study (NCT02008227) was done in 194 academic medical centres and community oncology practices across 31 countries worldwide. The study was done in full accordance with the guidelines for Good Clinical Practice and the Declaration of Helsinki. All patients gave written informed consent.

Cancer immunotherapy (CIT) has transformed our approach in diagnosis and treatment of cancer. However, durable responses or cures are only seen in a minority of patients, illustrating the need for reliable biomarkers that identify patients most likely to receive meaningful clinical benefit. PD-L1 immunohistochemistry (IHC) has been extensively used in clinical development programs for anti-PD-L1/PD-1 targeted therapies. Notably, four independently developed PD-L1 IHC assays have demonstrated clinically meaningful predictive value in several indications and are approved as companion or complementary diagnostics. PD-L1 IHC is by no means a flawless biomarker or diagnostic. Numerous studies have found that a subset of PD-L1 negative patients do in fact derive clinical benefit from CIT therapy, highlighting the need for more precise diagnostic tools. Gene signatures with emphasis on immune-related biology and tumor mutation burden, a surrogate for neoantigen presentation, have both emerged as new promising CIT biomarkers and have demonstrated predictive value in exploratory clinical studies. As of today, neither of these biomarkers has gained approval as a companion or complementary diagnostic or has shown the capacity to accurately capture all patients that could potentially benefit from CIT. It is likely, based on the complexity of the tumor microenvironment, that more than one biomarker will be required to identify patients that benefit from CIT in the future.

8500 Background: Adjuvant platinum-based chemotherapy (chemo) provides only a modest 5-year survival benefit in fully resected, high-risk early-stage NSCLC. We report the primary disease-free survival (DFS) results from the pre-planned interim analysis of IMpower010, a randomized phase 3 open-label trial of adjuvant atezolizumab (atezo; anti–PD-L1) vs best supportive care (BSC) after adjuvant chemo in patients (pts) with early-stage resected NSCLC. Methods: Eligible pts had completely resected (4-12 weeks prior to enrollment) Stage IB (≥4 cm)-IIIA NSCLC (AJCC/UICC v7) and ECOG PS 0-1. A total of 1280 pts were enrolled, and 1269 pts received up to four 21-day cycles of cisplatin-based chemo (plus pemetrexed, docetaxel, gemcitabine or vinorelbine). Of these pts (n=1269), 1005 were subsequently randomized 1:1 to 16 cycles of atezo 1200 mg Q3W or BSC. The primary endpoint of investigator-assessed DFS and secondary endpoint of overall survival (OS) were tested hierarchically: first DFS in the PD-L1 TC ≥1% (SP263) subgroup with Stage II-IIIA disease, then DFS in all randomized pts with Stage II-IIIA disease, then DFS in the ITT population (Stage IB-IIIA) and finally OS in the ITT population. Efficacy assessments were based on randomized pts. Safety was assessed in the safety-evaluable population, defined as pts who received ≥1 dose of atezo or who had ≥1 post-baseline safety assessment if randomized to the BSC arm. Results: At data cutoff (January 21, 2021), median follow-up was 32.2 months in the ITT population. Baseline characteristics were generally balanced between arms. Atezo showed statistically significant DFS benefit vs BSC in the PD-L1 TC ≥1% Stage II-IIIA and all randomized Stage II-IIIA populations; the significance boundary was not crossed for DFS in the ITT population (Table). OS data were immature and not formally tested. Pts in the atezo arm received a median of 16 (range, 1-16) atezo doses. Any-grade AEs occurred in 92.7% (atezo) and 70.7% (BSC); events were Grade 3/4 in 21.8% and 11.5%, respectively. Grade 5 treatment-related AEs occurred in 0.8% of pts in the atezo arm. AEs leading to atezo discontinuation occurred in 18.2% of atezo-treated pts. Conclusions: IMpower010 met its primary endpoint, showing DFS benefit with adjuvant atezo vs BSC after adjuvant chemo in pts with resected Stage II-IIIA NSCLC, with pronounced benefit in the PD-L1 TC ≥1% subgroup. The safety profile of atezo was consistent with prior experience of atezo monotherapy across indications and lines of therapy. Funding: F. Hoffmann-La Roche Ltd. Clinical trial information: NCT02486718. [Table: see text]

Background: IMpower133 (NCT02763579), a global Phase I/III, randomized, double-blind, placebo (PBO)-controlled trial, showed that the addition of atezo (anti-PD-L1) to CE for 1L ES-SCLC led to statistically and clinically significant OS and PFS improvement vs CE alone. Here we report updated OS and exploratory analyses. Methods: Pts with untreated ES-SCLC were randomized 1:1 to receive four 21-day cycles of E (100 mg/m2 IV, days 1-3) + C (AUC 5 mg/mL/min IV, day 1) with atezo (1200 mg IV, day 1) or PBO, followed by maintenance therapy with atezo or PBO until intolerable toxicity, progression or loss of clinical benefit. PD-L1 testing was not required for enrollment. Coprimary endpoints were investigator-assessed PFS (RECIST 1.1) and OS. Interim and final OS analyses were planned for ≈240 and ≈306 events, respectively. OS was significant at the interim analysis. Updated OS, exploratory biomarkers and patterns of disease progression were analyzed. Results: 201 and 202 pts were randomized to receive atezo+CE and PBO+CE, respectively. The median follow-up was 22.9 mo and 302 deaths had occurred. Median OS for the atezo and PBO arms was 12.3 and 10.3 mo, respectively (HR, 0.76 [95% CI: 0.60, 0.95]; descriptive P = 0.0154). At the 18-mo landmark, the OS rate was 13% higher with atezo+CE than with PBO+CE (Table). Exploratory analyses showed treatment benefit with atezo+CE regardless of biomarker status. 181 (90.0%) And 194 (96.0%) pts in the atezo+CE and PBO+CE arms, respectively, had RECIST-defined disease progression. Progression at existing, new or existing and new lesions was numerically lower with atezo+CE than with PBO+CE. Common sites of new lesions included the CNS, lung, lymph node and liver, with similar incidences between arms. Conclusion: Adding atezo to CE continued to provide OS improvement for 1L ES-SCLC in an all-comer population. The updated results of IMpower133 further support this regimen for untreated ES-SCLC. Landmark OSAtezo + CE, n = 201PBO + CE, n = 20212 Mo, n (%)93 (51.9)74 (39.0)18 Mo, n (%)61 (34.0)39(21.0)Median OS in biomarker subgroupsAtezo + CEPBO + CEITT (N = 403), mo12.310.3HR (95% CI)0.76 (0.61, 0.96)aITT-BEP (n = 137), mo9.98.9HR (95% CI)0.70 (0.48, 1.02)Non-BEP (n = 266), mo14.611.2HR (95% CI)0.81 (0.61, 1.08)PD-L1 expression, 1% TC or IC< 1% (n = 65), mo10.28.3HR (95% CI)0.51 (0.30, 0.89)≥ 1% (n = 72), mo9.710.6HR (95% CI)0.87 (0.51, 1.49)PD-L1 expression, 5% TC or IC< 5% (n = 108), mo9.28.9HR (95% CI)0.77 (0.51, 1.17)≥ 5% (n = 29), mo21.69.2HR (95% CI)0.60 (0.25, 1.46)Disease progression at sites, n (%)Atezo + CEPBO + CEExisting116 (57.7)131 (64.9)New86 (42.8)99 (49.0)Existing and new42 (20.9)57 (28.2)BEP, biomarker-evaluable population; ITT, intention-to-treat population.a Stratified HR. BEP included pts evaluable by PD-L1 IHC using the VENTANA SP263 assay. Citation Format: Leora Horn, Stephen V. Liu, Aaron S. Mansfield, Tony Mok, Arnaud Scherpereel, Niels Reinmuth, Marina Chiara Garassino, Javier De Castro Carpeno, Raffaele Califano, Makoto Nishio, Francisco Orlandi, Jorge Arturo Alatorre Alexander, Ticiana Leal, Ying Cheng, Jong-Seok Lee, Sivuonthanh Lam, Mark McCleland, Yu Deng, See Phan, Martin Reck. IMpower133: Updated OS and exploratory analyses of first-line (1L) atezolizumab (atezo) + carboplatin (C) + etoposide (E) in extensive-stage SCLC (ES-SCLC) [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr CT220.

3130 Background: IMpower150 is a phase 3 study measuring the effect of carboplatin and paclitaxel (CP) combined with atezolizumab (A) and/or bevacizumab (B) in patients with advanced nonsquamous NSCLC, testing the hypothesis that anti-PD-L1 therapy may be enhanced by the blockade of VEGF. Here, we apply a machine-learning based approach to quantify the tumor micro-environment (TME) and vasculature and identify associations with clinical outcome in IMpower150. Methods: Digitized H&E images were registered onto the PathAI research platform (n=1027). Over 200K annotations from 90 pathologists were used to train convolutional neural networks (CNNs) that classify human-interpretable features (HIFs) of cells and tissue structures from images. Blood vessel compression (BVC) indices were calculated using the long versus short axes for each predicted blood vessel. HIFs were clustered to reduce redundancy, and selected features were associated with progression free survival (PFS) within each arm (ABCP, ACP, and BCP) using Cox proportional hazard models. Results: We used the trained CNNs to generate 4,534 features summarizing each patient’s histopathology and TME. After association with survival and correction for multiple comparisons we identified clusters that were significantly associated with survival in at least one arm. Among patients receiving treatments that target PD-L1 (ABCP and ACP), high lymphocyte to fibroblast ratio (LFR) was associated with improved PFS (HR=0.64 (0.51, 0.81), p < 0.001) and showed no significant association with PFS among patients treated with BCP alone (HR=1.13 (0.85, 1.51), p=0.4). Among BCP treated patients, a higher average BVC within the tumor tissue was associated with improved PFS (HR=0.67 (0.50,0.90), p=0.01) and worse PFS among patients treated with ACP (HR=1.50 (1.10,2.06), p=0.009). Conclusions: We developed a deep learning-based assay for quantifying pathology features of the TME and vasculature from H&E images. Application of this system to Impower150 identified an association between high LFR and improved PFS among patients receiving PD-L1 targeting therapy, and between low BVC and improved PFS among patients receiving BCP. These findings support the importance of the TME and vasculature in determining response to PD-L1 and VEGF-targeting therapies.

Purpose: This study is aimed to identify genes within the KRAS genomic amplicon that are both coupregulated and essential for cell proliferation when KRAS is amplified in lung cancer. Experimental Design: We used an integrated genomic approach to identify genes that are coamplified with KRAS in lung adenocarcinomas and subsequently preformed an RNA interference (RNAi) screen to uncover functionally relevant genes. The role of lactate dehydrogenase B (LDHB) was subsequently investigated both in vitro and in vivo by siRNA and short hairpin RNA (shRNA)–mediated knockdown in a panel of lung adenocarcinoma cells lines. LDHB expression was also investigated in patient tumors using microarray and immunohistochemistry analyses. Results: RNAi-mediated depletion of LDHB abrogated cell proliferation both in vitro and in xenografted tumors in vivo. We find that LDHB expression correlates to both KRAS genomic copy number gain and KRAS mutation in lung cancer cell lines and adenocarcinomas. This correlation between LDHB expression and KRAS status is specific for lung cancers and not other tumor types that harbor KRAS mutations. Consistent with a role for LDHB in glycolysis and tumor metabolism, KRAS-mutant lung tumors exhibit elevated expression of a glycolysis gene signature and are more dependent on glycolysis for proliferation compared with KRAS wild-type lung tumors. Finally, high LDHB expression was a significant predictor of shorter survival in patients with lung adenocarcinomas. Conclusion: This study identifies LDHB as a regulator of cell proliferation in a subset of lung adenocarcinoma and may provide a novel therapeutic approach for treating lung cancer. Clin Cancer Res; 19(4); 773–84. ©2012 AACR.

CDK8 is a cyclin-dependent kinase that mediates transcriptional control of pathways linked to both cancer and stem cells. In this study, we show that CDK8 is required for both tumor growth and maintenance of tumor dedifferentiation in vivo and uncover a common role for CDK8 in controlling cancer and stem cell function. Acute CDK8 loss in vivo strongly inhibited tumor growth and promoted differentiation. Transcriptional profiling identified a set of embryonic stem cell–related genes that are activated by CDK8 in cancer. Consistent with this, we found that CDK8 expression correlated to the embryonic stem cell pluripotency state and loss of CDK8 caused embryonic stem cells to differentiate. This effect was, at least partially, mediated by the ability of CDK8 to regulate MYC protein and downstream MYC target gene expression. Similar regulation of MYC target genes by CDK8 was observed in colon tumor cells, and increased expression of a CDK8-regulated, embryonic stem cell MYC target gene signature was associated with loss of differentiation and poor outcome in primary human colon cancers. Together, these observations reveal that CDK8 acts, at least in part, through MYC to maintain both tumors and embryonic stem cells in an undifferentiated state. This raises the intriguing possibility that targeting CDK8 therapeutically may specifically inhibit the stem-like properties of cancer cells. Cancer Res; 72(8); 2129–39. ©2012 AACR.

Introduction: Atezo (anti-PD-L1) + bev + chemo prolonged PFS vs bev + chemo in patients (pts) with 1L non-squamous mNSCLC in the randomized Ph 3 IMpower150 study regardless of PD-L1 expression. This analysis aims to further understand the efficacy of atezo + bev + chemo in key subgroups: PD-L1 expression subgroups defined by the SP142 and SP263 IHC assays, patients with EGFR/ALK genetic alterations and patients with liver metastases at baseline. Methods: Pts received atezo 1200 mg + bev 15 mg/kg + carboplatin (C) AUC 6 + paclitaxel (P) 200 mg/m2 (Arm B) or bev + C + P (Arm C) IV q3w. A co-primary endpoint (EP) was PFS in the ITT-WT (EGFR or ALK wild-type pts); a secondary EP was PFS in subgroups defined by PD-L1 expression on tumor cells (TC) and tumor-infiltrating immune cells (IC) with SP142. Retrospective analysis with SP263 was a prespecified exploratory EP. Results: In Arms B and C of the ITT-WT (n = 692), 503 pts had available tumor sections for SP263 testing (BEP). Pt characteristics in the ITT-WT and BEP were similar. A similar PFS benefit was observed for Arm B vs C across all PD-L1 expression subgroups defined by either assay, including pts with PD-L1-negative and PD-L1-low tumors (Table). PFS benefit with Arm B vs C was also observed in patients with EGFR or ALK genomic alterations, including patients with actionable EGFR mutations, and in patients with liver metastases at baseline (Table). Conclusion: PFS benefit with atezo + bev + chemo was observed across all PD-L1 subgroups, regardless of the IHC assay used. Additionally, clinically meaningful PFS benefit was observed in patients with EGFR/ALK genomic alterations, and in patients with liver metastases with this combination. Table. PFS in Biomarker Subgroups and Other Subgroups of Interest in IMpower150Median PFS, moPFSan (%)HRb (95% CI)P ValueArm BArm CITT-WT692 (100%)0.62 (0.52, 0.74) Citation Format: Marcin Kowanetz, Mark A. Socinski, Wei Zou, Mark McCleland, Nancy Yang, Ariel Lopez Chavez, Alexander Spira, Julien Mazières, Fadi Braiteh, David Shames, Alan Sandler, Martin Reck. IMpower150: Efficacy of atezolizumab (atezo) plus bevacizumab (bev) and chemotherapy (chemo) in 1L metastatic nonsquamous NSCLC (mNSCLC) across key subgroups [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr CT076.

The ubiquitin system regulates the majority of cellular processes in eukaryotes. Ubiquitin is ligated to substrate proteins as monomers or chains, and the topology of ubiquitin modifications regulates substrate interactions with specific proteins. Thus ubiquitination directs a variety of substrate fates, including proteasomal degradation. Deubiquitinase enzymes cleave ubiquitin from substrates and are implicated in disease; for example ubiquitin-specific protease-7 (USP7) regulates stability of the p53 tumor suppressor and other proteins critical for tumor cell survival. However, developing selective deubiquitinase inhibitors has been challenging and no co-crystal structures have been solved with small-molecule inhibitors. Here, using nuclear magnetic resonance (NMR)-based screening and structure-based design, we describe the development of selective USP7 inhibitors GNE-6640 and GNE-6776. These compounds induce tumor cell death and enhance cytotoxicity with chemotherapeutics and targeted compounds, including PIM kinase inhibitors. Structural studies reveal that GNE-6640 and GNE-6776 noncovalently target USP7 12Å distant from the catalytic cysteine. The compounds attenuate ubiquitin binding and thus inhibit USP7 deubiquitinase activity. GNE-6640 and GNE-6776 interact with acidic residues that mediate H-bond interactions with the ubiquitin Lys-48 side-chain, suggesting that USP7 preferentially interacts with and cleaves ubiquitin moieties having free Lys-48 side-chains. We investigated this idea by engineering di-ubiquitin chains containing differential proximal and distal isotopic labels and measuring USP7 binding via NMR, a study that substantiated our hypothesis. This preferential binding significantly protracted the depolymerization kinetics of Lys-48-linked ubiquitin chains relative to Lys-63-linked chains. In summary, engineering compounds that inhibit USP7 activity by attenuating ubiquitin binding suggests opportunities for developing other deubiquitinase inhibitors and may be a strategy more broadly applicable to inhibiting proteins that require ubiquitin binding for full functional activity. [LK, PDL, and LR contributed equally to this work.] Citation Format: Ingrid Wertz, Lorna Kategaya, Paola Di Lello, Lionel Rouge, Richard Pastor, Kevin R. Clark, Jason Drummond, Tracy Kleinheinz, Eva Lin, John-Paul Upton, Sumit Prakash, Johanna Heideker, Mark McCleland, Maria Stella Ritorto, Dario R. Alessi, Matthias Trost, Travis W. Bainbridge, Michael C. Kwok, Taylur P. Ma, Zachary Stiffler, Bradley Brasher, Yinyan Tang, Priya Jaishanker, Brian Hearn, Adam R. Renslo, Michelle R. Arkin, Frederick Cohen, Kebing Yu, Frank Peale, Florian Gnad, Matthew T. Chang, Christiaan Klijn, Elizabeth Blackwood, Scott E. Martin, William F. Forrest, James A. Ernst, Chudi Ndubaku, Xiaojing Wang, Maureen H. Beresini, Vickie Tsui, Carsten Schwerdtfeger, Robert A. Blake, Jeremy Murray, Till Maurer. Development and mechanistic characterization of USP7 deubiquitinase inhibitors [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr SY23-03.

Deubiquitinases (DUBs) are enzymes that proteolytically cleave ubiquitin from substrates. Substrates include oncogenes, tumor suppressors and polyubiquitinated proteins marked for degradation by the proteasome. Ubiquitin specific peptidase-7 (USP7) deubiquitinates MDM2 (an oncogene). MDM2 is a ligase that ubiquitinates p53 (a tumor suppressor protein), targeting it for proteosomal degradation. As such, USP7 is a promising cancer target because its inhibition stabilizes p53 and thereby promotes apoptosis and cell cycle arrest, processes that are often deregulated in tumors (Nicholson and Suresh Kumar, 2011). We found that USP7 was selectively druggable following a fragment-based lead discovery effort to obtain USP7 antagonists. Cellular and xenograft studies confirm that inhibiting USP7 activity stabilized p53 levels and p53-downstream target, p21. Additionally, normal primary and p53-null cells were less sensitive than the corresponding p53-WT cancer cells to USP7 inhibition. To investigate whether other DUBs are involved in cancer cell survival, we carried out a drop-out CRISPR screen using a pooled DUB library in HCT116 and A549 cells. Out of the approximately 100 DUBs targeted, nine, including USP7, were found to affect cell viability. These hits were validated using siRNA-mediated knockdown in cancer cell lines (A549, HCT116, MCF7). Three DUBs that robustly decreased cell proliferation were further tested in normal cells (Human Mammary Epithelial Cells and Human Bronchial Epithelial Cells). DUB protein expression levels and activity were also determined. In general, DUB expression levels, activity and knockdown efficiency were higher in cancer cells compared to normal cells. Collectively, our studies support the hypothesis that USP7 inhibition may be an efficacious strategy to promote cancer cell death. Furthermore, there are other DUBs that should be considered as novel cancer targets. Citation Format: Lorna Kategaya, Trinna Cuellar, Ben Haley, Jinfeng Liu, Andy Tran, Yi Cao, David Stokoe, Mark McCleland, Beth Blackwood, Sharon Yee, Joy Drobnick, Jake Drummond, James Ernst, Michael Kwok, Cuong Ly, Richard Pastor, Paola Di Lello, Chudi Ndubaku, Robert Blake, Vickie Tsui, Jeremy Murray, Till Maurer, Ingrid Wertz. Crucial deubiquitinases in cancer cell survival. [abstract]. In: Proceedings of the AACR Precision Medicine Series: Targeting the Vulnerabilities of Cancer; May 16-19, 2016; Miami, FL. Philadelphia (PA): AACR; Clin Cancer Res 2017;23(1_Suppl):Abstract nr B23.

Colon tumors arise in a stepwise fashion from either discrete genetic perturbations or epigenetic dysregulation. To uncover the key epigenetic regulators that drive colon cancer growth, we utilized a CRISPR loss of function screen and identified a number of essential genes, including the Bromodomain and Extraterminal (BET) protein, BRD4. We find BRD4 is critical for colon cancer proliferation and its loss leads to differentiation effects in vivo. JQ1, a BET inhibitor, preferentially reduced growth in a subset of epigenetically dysregulated colon cancers, characterized by the CpG island methylator phenotype (CIMP). Integrated transcriptomic and genomic analyses defined a distinct super-enhancer in CIMP(+) colon cancers that regulates cMYC transcription. We find that the CCAT1 long non-coding RNA (lncRNA) is transcribed from this super-enhancer and is exquisitely sensitive to BET inhibition. Concordantly, cMYC transcription and cell growth were tightly correlated with the presence of CCAT1 RNA in a variety of tumor types. Taken together, we propose CCAT1 as a clinically tractable biomarker for identifying patients likely to benefit from BET inhibitors. Citation Format: Ron Firestein, Mark McCleland, Kathryn Mesh, Florian Gnad. Enhancer templated RNAs as predictors of therapeutic response to epigenetic therapy. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 406.

Breast cancer has been redefined into three clinically relevant subclasses: (i) estrogen/progesterone receptor positive (ER+/PR+), (ii) HER2/ERRB2 positive, and (iii) those lacking expression of all three markers (triple negative or basal-like). While targeted therapies for ER+/PR+ and HER2+ tumors have revolutionized patient treatment and increased lifespan, an urgent need exists for identifying novel targets for triple-negative breast cancers. Here, we used integrative genomic analysis to identify candidate oncogenes in triple-negative breast tumors and assess their function through loss of function screening. Using this approach, we identify lactate dehydrogenase B (LDHB), a component of glycolytic metabolism, as an essential gene in triple-negative breast cancer. Loss of LDHB abrogated cell proliferation in vitro and arrested tumor growth in fully formed tumors in vivo. We find that LDHB and other related glycolysis genes are specifically upregulated in basal-like/triple-negative breast cancers as compared with other subtypes, suggesting that these tumors are distinctly glycolytic. Consistent with this, triple-negative breast cancer cell lines were more dependent on glycolysis for growth than luminal cell lines. Finally, we find that patients with breast cancer and high LDHB expression in their tumors had a poor clinical outcome. While previous studies have focused on the ubiquitous role of LDHA in tumor metabolism and growth, our data reveal that LDHB is upregulated and required only in certain cancer genotypes. These findings suggest that targeting LDHB or other components of lactate metabolism would be of clinical benefit in triple-negative breast cancer. Cancer Res; 72(22); 5812–23. ©2012 AACR.

Spliceosome coordinated RNA splicing is an essential cellular process that can generate an immensely diverse repertoire of RNA. While cancer cells have been known to hijack this process to generate splice forms with oncogenic function, the specific role of spliceosome components in this process is not well understood. In this study, we use an integrative genomic approach to identify PRPF6, a member of the tri-snRNP spliceosome complex as essential for colon cancer growth. We show that, in addition to PRPF6, other tri-snRNP components are coordinately overexpressed or amplified in cancer cells. Inhibition of the tri-snRNP complex, but not other spliceosome components, abrogated cancer cell growth only in dependent cancer cell lines in vitro and in vivo. High resolution transcriptome analysis reveals that the tri-snRNP complex binds and regulates the splicing of a relatively small number of genes, many of which are transcriptional targets of the c-MYC oncogene. Intriguingly, many components of the tri-snRNP complex are mutated in a genetic form of Retinitis Pigmentosa. This genetic corollary suggests that the tri-snRNP complex is necessary in specific cellular contexts that may depend on the proper transcription and splicing of a tri-snRNP regulated set of genes. Citation Format: Adam Adler, Zhaoshi Jiang, Mark McCleland, Elizabeth Blackwood, Sharon Yee, Benjamin Haley, Jean-Philippe Stephan, Sofia Hussain, Vivek Chopra, Ron Firestein. The tri-snRNP spliceosome complex is required for MYC-dependent cancer growth. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 3203. doi:10.1158/1538-7445.AM2013-3203 Note: This abstract was not presented at the AACR Annual Meeting 2013 because the presenter was unable to attend.

Cyclin Dependent Kinase 8 (CDK8) is a highly conserved member of the Mediator complex that is required for animal development and growth. Several groups have recently identified CDK8 as a colorectal oncogene (Firestein R., et al Nature 2008; Starr T. Science 2009). While, loss of CDK8 expression inhibits colon cancer cell line proliferation in vitro, the mechanism through which this occurs is unkown. In order to examine the role of CDK8 on tumor growth in vivo, we generated inducible knockdown cell lines in two colon cancer cell line models. We find that CDK8 is necessary for tumor progression in vivo and loss of CDK8 imparts a differentiated phenotype in xenografted colon cancer tumors. FACS analysis of these tumors shows that loss of CDK8 leads to a specific depletion of the tumor initating stem cell compartment. These observations were extended to mouse and human intestine, where CDK8 protein levels were found to be increased both in tumors and in the basal portion of the crypt where the intestinal stem cells reside To further explore the mechanism by which CDK8 leads to this depletion, we performed both microarray gene expression analysis and whole genome ChIP to identify CDK8 transcriptional targets. We find that many of CDK8 regulated targets overlap with gene signatures known to be upregulated in stem cells (p Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 102nd Annual Meeting of the American Association for Cancer Research; 2011 Apr 2-6; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2011;71(8 Suppl):Abstract nr 5191. doi:10.1158/1538-7445.AM2011-5191

Background PD-L1/PD-1 inhibitors (CPI) as monotherapy or combined with platinum-based doublet chemo (± bevacizumab) are 1L tx options in metastatic NSCLC, with choice of agent(s) determined by PD-L1 expression. For patients (pts) who may be ineligible for combination therapy, CPI monotherapy remains an attractive tx choice. IMpower110 evaluated atezo as 1L tx in PD-L1–selected pts independent of tumour histology. Methods IMpower110 enrolled 572 chemo-naive pts with stage IV nonsquamous (nsq) or squamous (sq) NSCLC, PD-L1 expression ≥ 1% on TC or IC, measurable disease by RECIST 1.1 and ECOG PS 0-1. Pts were randomised 1:1 to receive atezo 1200mg IV q3w (Arm A) or platinum-based chemo (Arm B; 4 or 6 21-day cycles). Arm B nsq pts received cisplatin (cis) 75mg/m2 or carboplatin (carbo) AUC 6 + pemetrexed 500mg/m2 IV q3w; Arm B sq pts received cis 75mg/m2 + gemcitabine (gem) 1250mg/m2 or carbo AUC 5 + gem 1000mg/m2 IV q3w. Stratification factors were sex, ECOG PS, histology and tumour PD-L1 status. The primary endpoint of OS is tested hierarchically in wild-type (WT; EGFR/ALK-negative) pts (TC3 or IC3 then TC2/3 or IC2/3 then TC1/2/3 or IC1/2/3). Results The 3 primary efficacy populations included 554 TC1/2/3 or IC1/2/3WT pts, 328 TC2/3 or IC2/3WT pts and 205 TC3 or IC3WT pts. In the TC3 or IC3WT population, atezo monotherapy improved median OS by 7.1mo (HR, 0.595; P=0.0106) vs chemo (Table); median follow-up was 15.7mo. The safety population comprised 286 pts in Arm A and 263 pts in Arm B. Treatment-related AEs (TRAEs) and Grade 3-4 TRAEs occurred in 60.5% (Arm A) and 85.2% (Arm B), and 12.9% (Arm A) and 44.1% (Arm B), respectively.TableLBA78TableMedian OSArm A (atezo)Arm B (chemo)HRa 95% CIP valueanMonthsnMonthsTC3 or IC3WT10720.29813.10.595 (0.398, 0.890)0.0106TC2/3 or IC2/3WT16618.216214.90.717 (0.520, 0.989)0.0416TC1/2/3 or IC1/2/3WT27717.527714.10.832 (0.649, 1.067)0.1481bIC, tumour-infiltrating immune cells; TC, tumour cells. PD-L1 expression was centrally evaluated with the VENTANA SP142 IHC assay. TC3 or IC3=TC≥50% or IC≥10% PD-L1+; TC2/3 or IC2/3 = TC≥5% or IC≥5% PD-L1+; TC1/2/3 or IC1/2/3 = TC≥1% or IC≥1% PD-L1+.aStratified.bOnly for descriptive purposes. Conclusions At this interim analysis, IMpower110 met the primary OS endpoint with statistically significant and clinically meaningful improvement in the TC3 or IC3WT population. The safety profile favoured Arm A, with no new or unexpected safety signals seen. Clinical trial identification NCT02409342. Editorial acknowledgement Medical writing assistance was provided by Kia C. E. Walcott, PhD, of Health Interactions and funded by F. Hoffmann-La Roche, Ltd. Legal entity responsible for the study F. Hoffmann-La Roche. Funding F. Hoffmann-La Roche. Disclosure D. Spigel: Research grant / Funding (self): F. Hoffmann-La Roche . F. de Marinis: Research grant / Funding (institution): F. Hoffmann-La Roche. G. Giaccone: Research grant / Funding (institution): F. Hoffmann-La Roche. N. Reinmuth: Research grant / Funding (institution): F. Hoffmann-La Roche; Honoraria (self): BMS, Boehringer, AstraZeneca, MSD, Takeda, Pfizer, Merk. A. Vergnenegre: Honoraria (self), Advisory / Consultancy, Travel / Accommodation / Expenses: F. Hoffmann-La Roche, BMS, MSD, AstraZeneca. C.H. Barrios: Research grant / Funding (institution): Bristol Myers Squibb; Advisory / Consultancy, Research grant / Funding (institution): Pfizer, Novartis, Amgen, AstraZeneca, Boehringer Ingelheim, GlaxoSmithKline, Roche/Genentech, Lilly, Sanofi, Taiho Pharmaceutical, Mylan, Merrimack, Merck, Abbvie, Astellas Pharma, Biomarin, Bristol-Myers Squibb, Daiichi Sankyo, Abraxis BioScience, AB Sc. M. Morise: Research grant / Funding (institution): F. Hoffmann-La Roche; Honoraria (self), Speaker Bureau / Expert testimony: Eli Lilly, Chugai, AstraZeneca, Ono, Pfizer, MSD, ; Research grant / Funding (institution): Chugai, AstraZeneca, Pfizer, Merk Serono, Kissei, Taiho, Novartis; Research grant / Funding (institution): Boehringer Ingelheim. E. Felip: Advisory / Consultancy, Speaker Bureau / Expert testimony: ABBVIE; Advisory / Consultancy, Speaker Bureau / Expert testimony: Astra Zeneca; Advisory / Consultancy: BergenBio; Advisory / Consultancy: Blue Print Medicines; Advisory / Consultancy, Speaker Bureau / Expert testimony: Boehringer Ingelheim; Advisory / Consultancy, Speaker Bureau / Expert testimony: Bristol-Meyers Squibb; Advisory / Consultancy: Celgene; Advisory / Consultancy, Speaker Bureau / Expert testimony: Eli Lilly; Advisory / Consultancy: Guardant Health; Advisory / Consultancy: Janssen; Advisory / Consultancy, Speaker Bureau / Expert testimony: Medscape; Advisory / Consultancy, Speaker Bureau / Expert testimony: Merck KGaA; Advisory / Consultancy, Speaker Bureau / Expert testimony: Merck Sharp & Dohme; Advisory / Consultancy, Speaker Bureau / Expert testimony: Novartis; Advisory / Consultancy, Speaker Bureau / Expert testimony: Pfizer; Advisory / Consultancy: Prime Oncology; Advisory / Consultancy, Speaker Bureau / Expert testimony: Roche; Advisory / Consultancy: Samsung; Advisory / Consultancy, Speaker Bureau / Expert testimony: Takeda; Advisory / Consultancy: Touchtime. Z.G. Andric: Research grant / Funding (institution): F. Hoffmann-La Roche. S. Geater: Research grant / Funding (institution): F. Hoffmann-La Roche. M. Ozguroglu: Research grant / Funding (institution): F. Hoffmann-La Roche. S. Mocci: Full / Part-time employment: Roche/GNE. M. McCleland: Full / Part-time employment: Roche/GNE. I. Enquist: Full / Part-time employment: Roche/GNE. K.M. Komatsubara: Full / Part-time employment: Roche/GNE. Y. Deng: Full / Part-time employment: Roche/GNE. H. Kuriki: Research grant / Funding (institution): Roche/GNE; Shareholder / Stockholder / Stock options, Full / Part-time employment: Chugai Pharmaceutical. X. Wen: Full / Part-time employment: Roche/GNE. J. Jassem: Speaker Bureau / Expert testimony, Research grant / Funding (institution): F. Hoffmann-La Roche ; Advisory / Consultancy, Speaker Bureau / Expert testimony: Pfizer; Advisory / Consultancy, Speaker Bureau / Expert testimony: AstraZeneca; Advisory / Consultancy: BMS; Advisory / Consultancy: MSD; Advisory / Consultancy: Takeda. R.S. Herbst: Honoraria (self): Roche/Genentech; Honoraria (self): Pfizer; Honoraria (self), Research grant / Funding (institution): AstraZeneca; Honoraria (self), Research grant / Funding (institution): Merck; Honoraria (self), Research grant / Funding (institution): Eli Lilly and Company; Honoraria (self): Abbvie Pharmaceuticals; Honoraria (self): ARMO Biosciences; Honoraria (self): Biodesix; Honoraria (self): Bristol-Myers Squibb; Honoraria (self): EMD Serrano; Honoraria (self): Genmab; Honoraria (self): Halozyme; Honoraria (self): Heat Biologics; Honoraria (self): Infinity Pharmaceuticals; Honoraria (self): Loxo Oncology; Honoraria (self): Merck and Company ; Honoraria (self): Nektar; Honoraria (self): Neon Therapeutics; Honoraria (self): NextCure; Officer / Board of Directors, non-executive/independent: Junshi Pharmaceticals; Honoraria (self): Sanofi; Honoraria (self): Seattle Genetics; Honoraria (self): Shire PLC; Honoraria (self): Spectrum Pharmaceuticals; Honoraria (self): Symphogen; Honoraria (self): Tesaro; Honoraria (self): Tocagen.