Differential Immune-Related Microenvironment Determines Programmed Cell Death Protein-1/Programmed Death-Ligand 1 Blockade Efficacy in Patients With Advanced NSCLC

IntroductionProgrammed death-ligand 1 (PD-L1) expression is not a completely reliable predictive marker of the efficacy of anti–programmed cell death protein-1 (PD-1)/PD-L1 therapy in patients with advanced NSCLC. Immune-related tumor microenvironment (TME) is classified into four different types based on the tumor-infiltrating lymphocyte (TIL) status and PD-L1 expression.MethodsWe retrospectively reviewed patients with advanced NSCLC treated with anti–PD-1/PD-L1 therapy between 2015 and 2019. We investigated the association between the efficacy of anti–PD-1/PD-L1 therapy, the types of TME based on PD-L1 (clone: 22C3) expression, the density of CD8-positive TILs assessed by immunohistochemistry, and mutational profiles by next-generation sequencing.ResultsOverall, 228 patients were included in the analysis. The patients were classified into the following four groups: type I: PD-L1_High (tumor proportion score ≥ 50%)/TIL_High (≥85/mm²; n = 73); type II: PD-L1_Low (tumor proportion score < 50%)/TIL_Low (<85/mm²; n = 70); type III: PD-L1_High/TIL_Low (n = 37); and type IV: PD-L1_Low/TIL_High (n = 48). The objective response rate (ORR) and progression-free survival (PFS) of anti–PD-1/PD-L1 therapy clearly differed according to the different TME types (ORR and PFS; type I: 64%, 14.5 mo; type II: 12%, 2.1 mo; type III: 24%, 3.6 mo; type IV; 41%, 10.8 mo). In patients with PD-L1_High tumors, type I tumors had significantly better ORR and PFS than type III tumors (ORR: p < 0.001 and PFS: p < 0.001). The presence of TP53 and KRAS mutation was related to the density of CD8-positive TILs and PD-L1 expression, respectively.ConclusionsDifferential types of TME, including PD-L1 expression and TIL status, could accurately predict the efficacy of anti–PD-1/PD-L1 therapy.     

Programmed Death-Ligand 1 Copy Number Alteration as an Adjunct Biomarker of Response to Immunotherapy in Advanced NSCLC

IntroductionThis study aimed to evaluate the value of programmed death-ligand 1 (PD-L1) copy number (CN) alteration as an additional biomarker to standard immunohistochemistry (IHC) in predicting response to immune checkpoint inhibitor (ICI) therapy in advanced NSCLC.MethodsBefore ICI monotherapy, tumor PD-L1 CN alteration (gain, neutral, or loss) was called using whole-exome sequencing data and compared with IHC results (tumor proportion score ≥50, 1–49, or 0). Progression-free survival (PFS) and overall survival were correlated with both biomarkers. In addition, the impact of CN alteration was further evaluated in two independent cohorts using next-generation sequencing panel.ResultsA total of 291 patients with advanced-stage NSCLC met the study inclusion criteria. Although the IHC classification distinguished the best responsive group (tumor proportion score ≥ 50), the CN-based classification distinguished the worst responsive group (CN loss) from the others (PFS, p = 0.020; overall survival, p = 0.004). After adjusting for IHC results, CN loss was an independent risk factor for progression (adjusted hazard ratio = 1.32, 95% confidence interval: 1.00–1.73, p = 0.049) and death (adjusted hazard ratio = 1.39, 95% confidence interval: 1.05–1.85, p = 0.022). A risk classification system was developed on the basis of IHC and CN profiles, which outperformed the conventional IHC system. In the validation cohorts, CN loss determined by next-generation sequencing panel was independently associated with worse PFS after ICI treatment, revealing its practical value.ConclusionsThis is the first study to directly compare CN alterations with IHC results and survival outcomes after anti–PD-(L)1 therapy. Tumor PD-L1 CN loss can serve as an adjunct biomarker to predict the lack of response. Prospective studies are required to further validate this biomarker.     

PD-L1 Acts as a Promising Immune Marker to Predict the Response to Neoadjuvant Chemotherapy in Breast Cancer Patients

BackgroundProgrammed death ligand 1 (PD-L1) is a negative immune stimulatory molecule that plays a key role in tumor immune escape. We analyzed the clinical value of PD-L1–positive expression in predicting the outcome of breast cancer patients and to establish its role as new biomarker to guide precise treatment.Patients and MethodsPubMed and Embase were searched for all original English-language articles published before January 30, 2019; all articles reported the predictive and prognostic implications of PD-L1⁺ in breast cancer. Data were analyzed by Stata SE 12 software.ResultsThe PD-L1⁺ rate varied from 19.7% to 77.6% in breast cancer patients. Specifically, patients with estrogen receptor–positive, progesterone receptor–positive, luminal A, luminal B, and HER2⁺ disease subtypes had lower PD-L1 expression, while the PD-L1⁺ percentages did not follow any trend in patients with Ki-67⁺, normal-like, HER2 overexpression, and basal-like subtype. In addition, PD-L1⁺ was observed to be associated with significantly improved pathologic complete response to neoadjuvant chemotherapy (odds ratio = 2.01; 95% confidence interval, 1.35-3.01; P < .05). Using PD-L1⁺ to predict pathologic response showed obvious accuracy. However, PD-L1⁺ did not show significant association with risk of higher recurrence or metastasis, or higher death risk (hazard ratio = 0.91, P = .655; hazard ratio = 1.00, P = .995).ConclusionPD-L1⁺ is a promising immune parameter with the potential to predict response to neoadjuvant chemotherapy, but it cannot indicate a higher risk of death, recurrence, or metastasis.     

Efficacy and Safety of First-Line Immunotherapy Combinations for Advanced NSCLC: A Systematic Review and Network Meta-Analysis

IntroductionA series of randomized controlled trials have investigated different first-line immunotherapy combinations, but the optimal combination strategy is yet to be established.MethodsWe performed a systematic review and Bayesian network meta-analysis by retrieving relevant literature from PubMed, EMBASE, Cochrane Library, ClinicalTrials.gov, and major international conferences. We included published and gray sources of randomized clinical trials comparing immunotherapy combinations with other treatments as first-line treatments for patients with advanced NSCLC. This study was registered in the Prospective Register of Systematic Reviews (CRD42020210501) to ensure transparency.ResultsWe analyzed a total of 16 studies involving 8278 patients and including 10 immunotherapy combinations. For patients without programmed death-ligand 1 (PD-L1) selection, pembrolizumab plus chemotherapy was found to be comparable with sintilimab plus chemotherapy in providing the best overall survival (OS) benefit (hazard ratio = 0.96, 95% confidence interval [CI]: 0.72–1.29). Furthermore, atezolizumab plus bevacizumab plus chemotherapy seemed to provide the best progression-free survival (hazard ratio = 0.45, 95% CI: 0.36–0.55) and the best objective response rate (OR = 0.23, 95% CI: 0.12–0.42). Subgroup analysis by PD-L1 suggested that nivolumab plus ipilimumab plus chemotherapy was associated with the best OS in patients with PD-L1 less than 1% and that pembrolizumab plus chemotherapy was associated with the best OS in patients with PD-L1 greater than or equal to 1%. Pembrolizumab and sintilimab were associated with relatively fewer grade greater than or equal to 3 adverse events when compared with other immunotherapies combined with chemotherapy.ConclusionsOur results suggest that antiprogrammed death-1 combinations are associated with potentially higher survival outcomes than anti–PD-L1 combinations with comparable safety profiles. Moreover, pem-chemo and nivo-ipi-chemo seem to be superior first-line immunotherapy combinations for patients with advanced NSCLC with positive and negative PD-L1 expression, respectively. Although atezo-beva-chemo treatment provided the best progression-free survival and objective response rate, the addition of chemotherapy to immunotherapy would increase the toxicity, especially when antiangiogenesis drugs are simultaneously added.     

Updated Overall Survival Data and Predictive Biomarkers of Sintilimab Plus Pemetrexed and Platinum as First-Line Treatment for Locally Advanced or Metastatic Nonsquamous NSCLC in the Phase 3 ORIENT-11 Study

IntroductionSintilimab plus chemotherapy significantly prolonged progression-free survival (PFS) compared with chemotherapy alone in nonsquamous NSCLC in the ORIENT-11 study. Updated overall survival (OS) and PFS data and corresponding biomarker analyses are reported here.MethodsIn this study, a total of 397 patients with previously untreated, locally advanced or metastatic nonsquamous NSCLC were assigned to sintilimab plus chemotherapy combination treatment (combo) group or placebo plus chemotherapy treatment group. The patients were stratified by programmed death-ligand 1 (PD-L1) expression levels. Immune signature profiles from tumor RNA sequencing and PD-L1 immunohistochemistry were correlated with clinical outcome to identify predictive biomarkers.ResultsAs of January 2021, with median follow-up of 22.9 months, median OS was significantly improved in the combo group compared with the placebo plus chemotherapy treatment group (not reached versus 16.8 mo; hazard ratio [HR] = 0.60, 95% confidence interval [CI]: 0.45–0.79, p = 0.0003). High or medium immune cell infiltration was strongly associated with improved PFS in the combo group, in contrast to absent or low immune cell infiltration, which suggests that chemotherapy could not prime “immune deserts” to obtain benefit from programmed cell death protein-1 inhibition. In particular, high major histocompatibility complex (MHC) class II presentation pathway expression was significantly correlated with prolonged PFS (HR = 0.32, 95% CI: 0.19–0.54, p < 0.0001) and OS (HR = 0.36, 95% CI: 0.20–0.64, p = 0.0005) in the combo group. Importantly, patients with low or absent PD-L1 but high MHC class II expression could still benefit from the combo treatment. In contrast, MHC class I antigen presentation pathway was less relevant in this combination setting.ConclusionsThe addition of sintilimab to chemotherapy resulted to significantly longer OS in nonsquamous NSCLC. Expression of MHC class II antigen presentation pathway could identify patients benefiting most from this combination.     

The Immune Microenvironment,Genome-wide Copy Number Aberrations,and Survival in Mesothelioma

IntroductionResults of recent clinical studies of immune checkpoint inhibitors in malignant pleural mesothelioma (MPM) have dampened initial enthusiasm. However, the immune environment and targets of these treatments such as programmed cell death protein 1 and its ligand programmed death ligand 1 (PD-L1) have not been well characterized in MPM. Using a large cohort of patients, we investigated PD-L1 expression, immune infiltrates, and genome-wide copy number status and correlated them to clinicopathological features.MethodsTissue microarrays were constructed and stained with PD-L1(clone E1L3N [Cell Signaling Technology, Danvers, MA]), cluster of differentiation 4, cluster of differentiation 8, and forkhead box P3 antibodies. PD-L1 positivity was defined as at least 5% membranous staining regardless of intensity, and high PD-L1 positivity was defined as at least 50%. Genomic DNA from a representative subset of 113 patients was used for genome-wide copy number analysis. The percent genome alteration was computed as a proxy for genomic instability, and statistical analyses were used to relate copy number aberrations to other variables.ResultsAmong 329 patients evaluated, PD-L1 positivity was detected in 130 of 311 (41.7%), but high PD-L1 positivity was seen in only 30 of 311 (9.6%). PD-L1 positivity correlated with nonepithelioid histological subtype and increased infiltration with cluster of differentiation 4–positive, cluster of differentiation 8–positive, and forkhead box P3–positive lymphocytes. High PD-L1–positive expression correlated with worse prognosis (hazard ratio = 2.37, 95% confidence interval: 1.57–3.56, p < 0.001) in univariate analysis but not in multivariate analysis. Higher percent genome alteration was associated with epithelioid histological subtype and poorer survival (hazard ratio = 1.59, 95% confidence interval: 1.01–2.5, p = 0.04) but not PD-L1 expression.ConclusionsPD-L1 expression was associated with nonepithelioid MPM, poor clinical outcome, and increased immunological infiltrates. Increased genomic instability did not correlate with PD-L1 expression but was associated with poorer survival.     

Prognostic Impact of Programmed Death-ligand 1 and Surrounding Immune Status on Stage I Lung Cancer

BackgroundThe programmed death 1/programmed death-ligand 1 (PD-L1) pathway reportedly is as an important factor determining effects of immunotherapy; however, its prognostic impact is controversial, and its association with the surrounding immune microenvironment has not yet been elucidated.Patients and MethodsWe retrospectively analyzed 126 patients with pathologic stage I non–small-cell lung cancer. Patients with lepidic-dominant adenocarcinoma were excluded. PD-L1 expression was evaluated with immunohistochemistry correlated with clinicopathologic features and surrounding immune microenvironment status, including CD4, CD8, regulatory T cells, and human leukocyte antigen class I. Factors affecting prognosis were assessed by Kaplan-Meier and Cox regression analyses.ResultsTwenty-three (18.3%) patients were positive for PD-L1 expression. No significant correlation was observed between PD-L1 expression and the surrounding immune microenvironment status. The PD-L1–positive group had a worse prognosis than the PD-L1–negative group (5-year recurrence-free survival rates, 63.4% vs. 81.0%; P = .061). Among surrounding immune cells, intratumoral CD8 status had the strongest impact on prognosis (P = .12). In the intratumoral CD8–high group, PD-L1 expression demonstrated no significant prognostic impact, whereas in the intratumoral CD8–low group, patients positive for PD-L1 demonstrated a significantly worse prognosis than those negative for PD-L1 (5-year recurrence-free survival rates, 41.7% vs. 78.6%; P = .034). Multivariable Cox regression analysis revealed that ‘PD-L1–positive and intratumoral CD8–low’ status was an independent prognostic factor (hazard ratio, 3.80; 95% confidence interval, 1.22-10.5; P = .023).ConclusionsThe prognostic impact of the PD-1/PD-L1 pathway may be distinct according to concurrent intratumoral CD8 status.     

Systemic and Intracranial Outcomes With First-Line Nivolumab Plus Ipilimumab in Patients With Metastatic NSCLC and Baseline Brain Metastases From CheckMate 227 Part 1

IntroductionIn CheckMate 227 Part 1, nivolumab plus ipilimumab prolonged overall survival (OS) versus chemotherapy in patients with metastatic NSCLC, regardless of tumor programmed death-ligand 1 (PD-L1) expression. Here, we report post hoc exploratory systemic and intracranial efficacy outcomes and safety by baseline brain metastasis status at 5 years’ minimum follow-up.MethodsTreatment-naive adults with stage IV or recurrent NSCLC without EGFR or ALK alterations, including asymptomatic patients with treated brain metastases, were enrolled. Patients with tumor PD-L1 greater than or equal to 1% were randomized to nivolumab plus ipilimumab, nivolumab, or chemotherapy; patients with tumor PD-L1 less than 1% were randomized to nivolumab plus ipilimumab, nivolumab plus chemotherapy, or chemotherapy groups. Assessments included OS, systemic and intracranial progression-free survival per blinded independent central review, new brain lesion development, and safety. Brain imaging was performed at baseline (all randomized patients) and approximately every 12 weeks thereafter (patients with baseline brain metastases only).ResultsOverall, 202 of 1739 randomized patients had baseline brain metastases (nivolumab plus ipilimumab: 68; chemotherapy: 66). At 61.3 months’ minimum follow-up, nivolumab plus ipilimumab prolonged OS versus chemotherapy in patients with baseline brain metastases (hazard ratio = 0.63; 95% confidence interval: 0.43–0.92) and in those without (hazard ratio = 0.76; 95% confidence interval: 0.66–0.87). In patients with baseline brain metastases, 5-year systemic and intracranial progression-free survival rates were higher with nivolumab plus ipilimumab (12% and 16%, respectively) than chemotherapy (0% and 6%). Fewer patients with baseline brain metastases developed new brain lesions with nivolumab plus ipilimumab (4%) versus chemotherapy (20%). No new safety signals were observed.ConclusionsWith all patients off immunotherapy for more than or equal to 3 years, nivolumab plus ipilimumab continued to provide a long-term, durable survival benefit in patients with or without brain metastases. Intracranial efficacy outcomes favored nivolumab plus ipilimumab versus chemotherapy. These results further support nivolumab plus ipilimumab as an efficacious first-line treatment for patients with metastatic NSCLC, regardless of baseline brain metastasis status.     

Updated Overall Survival Analysis From IMpower110: Atezolizumab Versus Platinum-Based Chemotherapy in Treatment-Naive Programmed Death-Ligand 1–Selected NSCLC

IntroductionIMpower110 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.MethodsThis 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).ResultsThe 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.ConclusionsStatistical 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.     

First-line Pembrolizumab Versus Pembrolizumab Plus Chemotherapy Versus Chemotherapy Alone in Non–small-cell Lung Cancer: A Systematic Review and Network Meta-analysis

BackgroundThis study aimed to comprehensively review the available evidence regarding the efficacy of first-line pembrolizumab for advanced/metastatic non–small-cell lung cancer (NSCLC), and to compare pembrolizumab monotherapy versus pembrolizumab plus chemotherapy versus chemotherapy alone.Materials and MethodsA search of the PubMed, EMBASE, and Cochrane Library databases was performed in July 2018, and abstracts from the American Society of Clinical Oncology meetings (2015-2018) were reviewed. Summaries of the results were pooled using a random-effect model to determine the pooled hazard ratio (HR) for progression-free survival (PFS), overall survival (OS), and their 95% confidence intervals (CIs). A network meta-analysis was used to indirectly compare pembrolizumab monotherapy with pembrolizumab plus chemotherapy.ResultsA total of 4 relevant phase III trials comprising 2754 patients were identified. Pembrolizumab (with or without chemotherapy) led to significant improvements in OS and PFS, irrespective of the programmed cell death ligand 1 (PD-L1) tumor proportion score (TPS). In particular, for the subgroup with PD-L1 TPS ≥ 50%, the HR of PFS was 0.49 (95% CI, 0.32-0.76; P = .001), and that of OS was 0.57 (95% CI, 0.45-0.73; P < .001). In terms of PFS, pembrolizumab plus chemotherapy was superior to pembrolizumab monotherapy with an HR of PFS 0.52 (95% CI, 0.27-0.99; P = .048) for the subgroup with PD-L1 TPS ≥ 50%.ConclusionsFor patients with NSCLC with PD-L1 TPS ≥ 50%, pembrolizumab plus chemotherapy has a better PFS than pembrolizumab monotherapy in this meta-analysis. To confirm this finding, a prospective phase III trial that directly compares the treatments is warranted.     

CCTG BR34: A Randomized Phase 2 Trial of Durvalumab and Tremelimumab With or Without Platinum-Based Chemotherapy in Patients With Metastatic NSCLC

IntroductionFirst-line therapy for patients with metastatic NSCLC includes checkpoint inhibitor monotherapy, dual checkpoint inhibition, or combination with chemotherapy. We compared outcomes with combination chemoimmunotherapy versus dual checkpoint inhibition as first-line treatment for patients with metastatic NSCLC.MethodsThis open-label, randomized clinical trial was conducted at 44 sites in Canada and Australia. Patients with treatment-naive, metastatic NSCLC without sensitizing EGFR or ALK alterations were randomized (1:1) to receive treatment with durvalumab plus tremelimumab with or without platinum-doublet chemotherapy. The primary end point was overall survival (OS). Secondary end points were progression-free survival, overall response rate, and safety.ResultsA total of 301 patients were randomized. Median OS was 16.6 months (95% confidence interval [CI]: 12.6–19.1) with chemotherapy plus immunotherapy and 14.1 months (95% CI: 10.6–18.3) with immunotherapy (hazard ratio = 0.88, 90% CI: 0.67–1.16, p = 0.46). Median progression-free survival with chemotherapy plus immunotherapy was 7.7 months (95% CI: 5.5–8.5) and 3.2 months (95% CI: 2.7–5.1) with immunotherapy (hazard ratio = 0.67, 95% CI: 0.52–0.88). The overall response rate with chemoimmunotherapy was 42.4% and 29.3% with immunotherapy (adjusted OR = 1.69, 95% CI: 1.04–2.76). The percentage of patients with grade 3 or higher adverse events was 82% in the chemotherapy plus immunotherapy group and 70% in the immunotherapy group. Exploratory analyses of programmed death-ligand 1 expression and blood-based tumor mutation burden revealed no differential treatment effect on OS.ConclusionsThe addition of chemotherapy to durvalumab plus tremelimumab in the first-line treatment of stage IV NSCLC did not improve survival compared with durvalumab plus tremelimumab alone. Further study is warranted to identify patients that benefit from initial immunotherapy alone versus combination chemotherapy plus immunotherapy as first-line treatment.     

Clinicopathological and prognostic significance of programmed death ligant-1 expression in gastric cancer: a meta-analysis

BackgroundGastric cancer (GC) is a common malignant tumor with a high incidence in China. The use of immune checkpoint inhibitors has become the focus of tumor immunotherapy in recent years. This study was to investigate the clinicopathological and prognostic significance of programmed death ligant-1 (PD-L1) expression in GC.MethodsWe searched the PubMed, ScienceNet, EMbase, CNKI, and Wanfang databases for retrospective cohort studies on the clinicopathology and prognosis of PD-L1 expression in GC published between January 2010 and April 2020. The literature was first selected to extract data according to the inclusion and exclusion criteria, then a meta-analysis performed using Stata15.0 software. Publication bias and sensitivity analysis were carried out for the included studies.ResultsA total of 3,218 patients in 15 studies were included in the meta-analysis. The positive expression of PD-L1 was related to a decrease in the 3-year survival rate (HR =1.32, 95% CI: 1.02–1.49, P=0.028) and 5-year survival rate (HR =1.39, 95% CI: 1.14–1.69, P=0.001). The difference in PD-L1 expression was related to lymph node metastasis (OR =1.73, 95% CI: 1.18–2.54, P<0.001), but not to tumor stage (OR =1.28, 95% CI: 0.81–2.02, P=0.292).ConclusionsThe results show that PD-L1 is related to the prognosis of GC. Its high expression decreases the 3- and 5-year survival rates and promotes lymph node metastasis, but does not reflect tumor stage. The results may provide a theoretical basis for the choice of clinical immunotherapy in GC patients.     

A real-world study of the efficacy and safety of anti-programmed cell death-1 therapy combined with chemotherapy or targeted therapy in patients with advanced biliary tract cancer

BackgroundImmune checkpoint inhibitors (ICIs) represent a breakthrough in cancer treatment. However, they have rarely been used to treat biliary tract cancer (BTC). In the current study, we aimed to evaluate and compare the efficacy and safety of anti-programmed cell death-1 (PD-1) therapy used alone or in combination with chemotherapy or targeted therapy in the treatment of advanced BTC.MethodsPatients with advanced BTC who were treated either with anti-PD-1 therapy alone or anti-PD-1 therapy plus chemotherapy or targeted therapy between December, 2015 and October, 2017 were retrospectively screened for eligibility. Patients who had previously received treatment with any agent targeting T-cell co-stimulation or immune checkpoints were excluded. Overall survival (OS), progression-free survival (PFS), objective response rate (ORR), and safety were evaluated.ResultsA total of 37 patients were included in this study (15 cases in the monotherapy group and 22 cases in the combination group). Patients in the combination group had significantly longer OS [median, 8.2 vs. 3.6 months, HR 0.47 (0.20–1.10), P=0.011] and PFS (median, 3.9 vs. 2.0 months, HR 0.58 (0.28–1.19), P=0.034) than patients in the monotherapy group. The ORR was 18.2% (4/22) and 0% in the combination group and monotherapy group, respectively, and the difference was not significant (P=0.131). Furthermore, no significant difference was found between the two groups with respect to the incidence of grade 3–4 treatment-related adverse events (P=0.388).ConclusionsAnti-PD-1 therapy plus chemotherapy or targeted therapy is an effective and tolerable treatment for patients with advanced BTC and is promising as a first-line treatment or beyond.     

Impact of copy number variant and single nucleotide polymorphism of the programmed death-ligand 1 gene,programmed death-ligand 1 protein expression and therapy regimens on overall survival in a large group of Caucasian patients with non-small cell lung carcinoma

Anti-programmed death-1 or anti-programmed death-ligand 1 (PD-L1) blockade may be ineffective in some patients with non-small cell lung cancer (NSCLC) with high percentage of tumor cells with PD-L1 expression. In addition, immunotherapy may provide great benefits in patients without PD-L1 expression. The present study assessed PD-L1 protein expression by immunohistochemistry, copy number variation (CNV) of PD-L1 and two single nucleotide polymorphisms (SNPs), rs822335 and rs822336, in the promoter of PD-L1 by quantitative PCR in 673 patients with NSCLC. Overall survival time of patients with NSCLC depending on the assessed predictive factors (PD-L1 CNV or SNP) and the treatment methods (immunotherapy in first/second line of treatment or chemotherapy) was analyzed. The present study revealed significantly higher PD-L1 copies number in patients with ≥10% and ≥50% of tumor cells with PD-L1 expression compared to patients with lower percentage of PD-L1-positive tumor cells (P=0.02 and P=0.0002, respectively). There was a significant positive correlation (R=0.2; P=0.01) between number of PD-L1 copies and percentage of tumor cells with PD-L1 protein expression. Percentage of tumor cells with PD-L1 expression was lower in patients with TT genotype of the rs822335 polymorphism compared to those with CC genotype (P=0.03). The present study observed significantly higher risk of death in patients treated with chemotherapy compared to those treated with immunotherapy (P<0.0001; hazard ratio=2.4768; 95% confidence interval, 2.0120–3.0490). The present study demonstrated a close relationship between PD-L1 copies number, genotype of rs822335 PD-L1 polymorphism and PD-L1 protein expression on tumor cells. However, the impact of CNV and SNPs of PD-L1 on overall survival of patients with NSCLC requires further investigation.     

BRAF Mutant Lung Cancer: Programmed Death Ligand 1 Expression,Tumor Mutational Burden,Microsatellite Instability Status,and Response to Immune Check-Point Inhibitors

Introduction

The efficacy of immune checkpoint inhibitors (ICPi) in BRAF mutant NSCLC is unknown.

Programmed cell death ligand-1 (PD-L1) expression combined with CD8 tumor infiltrating lymphocytes density in non-small cell lung cancer patients

Cancer immunotherapy targeting programmed cell death-1/programmed cell death ligand-1 (PD-1/PD-L1) pathway has shown promising results in treatment of non-small cell lung cancer (NSCLC) patients. T cells play a major role in tumor-associated immune response. This study aimed to investigate PD-L1 expression alone and combined with CD8 tumor infiltrating lymphocytes (TILs) density in relation to clinicopathologic parameters and survival in NSCLC patients. Immunohistochemical analysis was used to evaluate PD-L1 expression and CD8 TILs density in 55 NSCLC patients. PD-L1 immunopositivity was detected in 36 (65.5%) of NSCLC cases. PD-L1 expression was significantly related to high tumor grade (p value?=?0.038) and low CD8 TILs density (p value?=?0.004), whereas no significant relations were detected between PD-L1 expression and tumor stage (p value?=?0.121), overall survival (OS) (p value?=?0.428) and progression-free survival (PFS) (p value?=?0.439). Among PD-L1/CD8 TILs density groups, PD-L1⁺/CD8^Low group was significantly associated with high tumor grade compared to PD-L1^?/CD8^high group (pairwise p?=?0.016). PD-L1⁺/CD8^Low group was significantly related to advanced tumor stage compared to PD-L1⁺/CD8^high and PD-L1^?/CD8^Low groups (pairwise p?=?0.001 and 0.013 respectively). PD-L1^?/CD8^high group exhibited the best OS and PFS whereas PD-L1⁺/CD8^low group had the poorest OS and PFS (p value?=?0.032 and 0.001 respectively). Assessment of PD-L1 combined with CD8 TILs density, instead of PD-L1 alone, suggested important prognostic relevance in NSCLC patients.     

A Novel Radiogenomics Biomarker for Predicting Treatment Response and Pneumotoxicity From Programmed Cell Death Protein or Ligand-1 Inhibition Immunotherapy in NSCLC

IntroductionPatient selection for checkpoint inhibitor immunotherapy is currently guided by programmed death-ligand 1 (PD-L1) expression obtained from immunohistochemical staining of tumor tissue samples. This approach is susceptible to limitations resulting from the dynamic and heterogeneous nature of cancer cells and the invasiveness of the tissue sampling procedure. To address these challenges, we developed a novel computed tomography (CT) radiomic-based signature for predicting disease response in patients with NSCLC undergoing programmed cell death protein 1 (PD-1) or PD-L1 checkpoint inhibitor immunotherapy.MethodsThis retrospective study comprises a total of 194 patients with suitable CT scans out of 340. Using the radiomic features computed from segmented tumors on a discovery set of 85 contrast-enhanced chest CTs of patients diagnosed with having NSCLC and their CD274 count, RNA expression of the protein-encoding gene for PD-L1, as the response vector, we developed a composite radiomic signature, lung cancer immunotherapy—radiomics prediction vector (LCI-RPV). This was validated in two independent testing cohorts of 66 and 43 patients with NSCLC treated with PD-1 or PD-L1 inhibition immunotherapy, respectively.ResultsLCI-RPV predicted PD-L1 positivity in both NSCLC testing cohorts (area under the curve [AUC] = 0.70, 95% confidence interval [CI]: 0.57–0.84 and AUC = 0.70, 95% CI: 0.46–0.94). In one cohort, it also demonstrated good prediction of cases with high PD-L1 expression exceeding key treatment thresholds (>50%: AUC = 0.72, 95% CI: 0.59–0.85 and >90%: AUC = 0.66, 95% CI: 0.45–0.88), the tumor’s objective response to treatment at 3 months (AUC = 0.68, 95% CI: 0.52–0.85), and pneumonitis occurrence (AUC = 0.64, 95% CI: 0.48–0.80). LCI-RPV achieved statistically significant stratification of the patients into a high- and low-risk survival group (hazard ratio = 2.26, 95% CI: 1.21–4.24, p = 0.011 and hazard ratio = 2.45, 95% CI: 1.07–5.65, p = 0.035).ConclusionsA CT radiomics-based signature developed from response vector CD274 can aid in evaluating patients’ suitability for PD-1 or PD-L1 checkpoint inhibitor immunotherapy in NSCLC.     

Combination Treatment of the Oral CHK1 Inhibitor,SRA737, and Low-Dose Gemcitabine Enhances the Effect of Programmed Death Ligand 1 Blockade by Modulating the Immune Microenvironment in SCLC

IntroductionDespite the enthusiasm surrounding cancer immunotherapy, most SCLC patients show very modest response to immune checkpoint inhibitor monotherapy treatment. Therefore, there is growing interest in combining immune checkpoint blockade with chemotherapy and other treatments to enhance immune checkpoint blockade efficacy. Based on favorable clinical trial results, chemotherapy and immunotherapy combinations have been recently approved by the U.S. Food and Drug Administration for frontline treatment for SCLC.Methods and ResultsHere, we show that combined treatment of SRA737, an oral CHK1 inhibitor, and anti–programmed death ligand 1 (PD-L1) leads to an antitumor response in multiple cancer models, including SCLC. We further show that combining low, non-cytotoxic doses of gemcitabine with SRA737 + anti–PD-L1/anti–PD-1 significantly increased antitumorigenic CD8+ cytotoxic T cells, dendritic cells, and M1 macrophage populations in an SCLC model. This regimen also led to a significant decrease in immunosuppressive M2 macrophage and myeloid-derived suppressor cell populations, as well as an increase in the expression of the type I interferon beta 1 gene, IFNβ, and chemokines, CCL5 and CXCL10.ConclusionsGiven that anti–PD-L1/anti–PD-1 drugs have recently been approved as monotherapy and in combination with chemotherapy for the treatment of SCLC, and that the SRA737 + low dose gemcitabine regimen is currently in clinical trials for SCLC and other malignancies, our preclinical data provide a strong rational for combining this regimen with inhibitors of the PD-L1/PD-1 pathway.     

Computed Tomography Texture Analysis for Predicting Clinical Outcomes in Patients With Metastatic Renal Cell Carcinoma Treated With Immune Checkpoint Inhibitors

BackgroundThe treatment responses of immune checkpoint inhibitors in metastatic renal cell carcinoma (mRCC) vary, requiring reliable prognostic biomarkers. We assessed the prognostic ability of computed tomography (CT) texture analysis in patients with mRCC treated with programmed death receptor-1 (PD-1)/programmed death ligand-1 (PD-L1) inhibitors.Materials and MethodsSixty-eight patients with mRCC treated with PD-1/PD-L1 inhibitors between 2012 and 2019 were revaluated. Using baseline and first follow-up CT, baseline and follow-up texture models were developed to predict overall survival (OS) and progression-free survival (PFS) using least absolute shrinkage and selection operator Cox-proportional hazards analysis. Patients were divided into high-risk or low-risk group, and the survival difference was assessed using Kaplan-Meier and log-rank test. Multivariable Cox models were constructed by including only the clinical variables (clinical models) and by combining the clinical variables and the texture models (combined clinical-texture models), and their predictive performance was evaluated using Harrell’s C-index.ResultsThe baseline texture models distinguished longer- and shorter-term survivors for both OS (median, 60.1 vs. 17.0 months; P = .048) and PFS (5.2 vs. 2.8 months; P = .003). The follow-up texture models distinguished longer- and shorter-term overall survivors (40.3 vs. 15.2 months; P = .008) but not for PFS (5.0 vs. 3.6 months; P = .25). The combined clinical-texture model outperformed the clinical model in both predicting the OS (C-index, 0.70 vs. 0.63; P = .03) and PFS (C-index, 0.63 vs. 0.55; P = .04).ConclusionCT texture analysis performed at baseline and early after starting PD-1/PD-L1 inhibitors is associated with clinical outcomes of patients with mRCC.