Prognostic value of PD-L1 expression in combination with CD8+ TILs density in patients with surgically resected non-small cell lung cancer

Predicting Durable Clinical Benefits of Postoperative Adjuvant Chemotherapy in Non-small Cell Lung Cancer: A Nomogram Based on CT Imaging and Immune Type

PURPOSE

To develop a model based on conventional CT signs and the tumor microenvironment immune types (TIMT) to predict the durable clinical benefits (DCB) of postoperative adjuvant chemotherapy in non-small cell lung cancer (NSCLC).

METHODS AND MATERIALS

A total of 205 patients with NSCLC underwent preoperative CT and were divided into two groups: DCB (progression-free survival (PFS) ≥ 18 months) and non-DCB (NDCB, PFS <18 months). The density percentiles of PD-L1 and CD8 + tumor-infiltrating lymphocytes (TIL) were quantified to estimate the TIMT. Clinical characteristics and conventional CT signs were collected. Multivariate logistic regression was employed to select the most discriminating parameters, construct a predictive model, and visualize the model as a nomogram. Receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA) were used to evaluate prediction performance and clinical utility.

RESULTS

Precisely 118 patients with DCB and 87 with NDCB in NSCLC received postoperative adjuvant chemotherapy. TIMT was statistically different between the DCB and NDCB groups (P < 0.05). Clinical characteristics (neuron-specific enolase, squamous cell carcinoma antigen, Ki-76, and cM stage) and conventional CT signs (spiculation, bubble-like lucency, pleural retraction, maximum diameter, and CT value of the venous phase) varied between the four TIMT groups (P < 0.05). Furthermore, clinical characteristics (lymphocyte count [LYMPH] and cM stage) and conventional CT signs (bubble-like lucency and Pleural effusion) differed between the DCB and NDCB groups (P < 0.05). Multivariate analysis revealed that TIMT, cM stage, LYMPH, and pleural effusion were independently associated with DCB and were used to construct a nomogram. The area under the curve (AUC) of the combined model was 0.70 (95%CI: 0.64-0.76), with sensitivity and specificity of 0.73 and 0.60, respectively.

CONCLUSION

Conventional CT signs and the TIMT offer a promising approach to predicting clinical outcomes for patients treated with postoperative adjuvant chemotherapy in NSCLC.

Automated Prognosis Marker Assessment in Breast Cancers Using BLEACH&STAIN Multiplexed Immunohistochemistry

Prognostic markers in routine clinical management of breast cancer are often assessed using RNA-based multi-gene panels that depend on fluctuating tumor purity. Multiplex fluorescence immunohistochemistry (mfIHC) holds the potential for an improved risk assessment. To enable automated prognosis marker detection (i.e., progesterone receptor [PR], estrogen receptor [ER], androgen receptor [AR], GATA3, TROP2, HER2, PD-L1, Ki67, TOP2A), a framework for automated breast cancer identification was developed and validated involving thirteen different artificial intelligence analysis steps and an algorithm for cell distance analysis using 11+1-marker-BLEACH&STAIN-mfIHC staining in 1404 invasive breast cancers of no special type (NST). The framework for automated breast cancer detection discriminated normal glands from malignant glands with an accuracy of 98.4%. This approach identified that five (PR, ER, AR, GATA3, PD-L1) of nine biomarkers were associated with prolonged overall survival (p ≤ 0.0095 each) and two of these (PR, AR) were found to be independent risk factors in multivariate analysis (p ≤ 0.0151 each). The combined assessment of PR-ER-AR-GATA3-PD-L1 as a five-marker prognosis score showed strong prognostic relevance (p < 0.0001) and was an independent risk factor in multivariate analysis (p = 0.0034). Automated breast cancer detection in combination with an artificial intelligence-based analysis of mfIHC enables a rapid and reliable analysis of multiple prognostic parameters. The strict limitation of the analysis to malignant cells excludes the impact of fluctuating tumor purity on assay precision.

Granzyme B (GZMB)-Positive Tumor-Infiltrating Lymphocytes in Lung Adenocarcinoma: Significance as a Prognostic Factor and Association with Immunosuppressive Proteins

BACKGROUND

Granzyme B (GZMB) is a serine protease produced by cytotoxic lymphocytes that reflects the activity of anti-tumor immune responses in tumor-infiltrating lymphocytes (TILs); however, the prognostic significance of GZMB+ TILs in lung adenocarcinoma is poorly understood.

METHODS

We analyzed 273 patients with pathological stage (pStage) I-IIIA lung adenocarcinoma who underwent surgery at Kyushu University from 2003 to 2012. We evaluated GZMB+ TIL counts by immunohistochemistry. We set the cut-off values at 12 cells/0.04 mm2 for GZMB+ TILs and divided the patients into GZMB-High (n = 171) and GZMB-Low (n = 102) groups. Then, we compared the clinicopathological characteristics of the two groups and clinical outcomes. Programmed cell death ligand-1 (PD-L1) and indoleamine 2,3-dioxygenase 1 (IDO1) expression in tumor cells was also evaluated, and combined prognostic analyses of GZMB+ TILs with PD-L1 or IDO1 were performed.

RESULTS

GZMB-Low was significantly associated with pStage II-III, PD-L1 positivity, and IDO1 positivity. Disease-free survival (DFS) and overall survival (OS) in the GZMB-Low group were significantly worse than in the GZMB-High group. In multivariable analysis, GZMB-Low was an independent prognostic factor for both DFS and OS. Furthermore, combined prognostic analyses of GZMB+ TILs with PD-L1 or IDO1 showed that GZMB-Low with high expression of these immunosuppressive proteins had the worst prognosis.

CONCLUSIONS

We analyzed GZMB+ TIL counts in lung adenocarcinoma and elucidated its prognostic significance and association with PD-L1 and IDO1. GZMB+ TIL counts might reflect the patient's immunity against cancer cells and could be a useful prognostic marker of lung adenocarcinoma.

Regulation of Autophagy via Carbohydrate and Lipid Metabolism in Cancer

Metabolic changes are an important component of tumor cell progression. Tumor cells adapt to environmental stresses via changes to carbohydrate and lipid metabolism. Autophagy, a physiological process in mammalian cells that digests damaged organelles and misfolded proteins via lysosomal degradation, is closely associated with metabolism in mammalian cells, acting as a meter of cellular ATP levels. In this review, we discuss the changes in glycolytic and lipid biosynthetic pathways in mammalian cells and their impact on carcinogenesis via the autophagy pathway. In addition, we discuss the impact of these metabolic pathways on autophagy in lung cancer.

The role of spatial interplay patterns between PD-L1-positive tumor cell and T cell in recurrence of locally advanced non-small cell lung cancer

PURPOSE

To explore the relationship between the spatial interaction of programmed death-ligand 1(PD-L1)-positive tumor cell and T cell with specific functions and the recurrence of non-small cell lung cancer (NSCLC) and optimize prognostic stratification.

MATERIALS AND METHODS

This study retrospectively included 104 patients with locally advanced NSCLC who underwent radical surgery. Tissue microarrays were constructed including tumor center (TC) and invasion margin (IM), and CK/CD4/CD8/PD-L1/programmed death-1 (PD-1) was labeled using multiplex immunofluorescence to decipher the counts and spatial distribution of tumor cells and T cells. The immune microenvironment and recurrence stratification were characterized using the Mann-Whitney U test and Cox proportional hazards model.

RESULT

Compared with the IM, the proportion of tumor cells (especially PD-L1⁺) was increased in the TC, while T cells (especially PD-1⁺) were decreased. An increase in TC PD-1⁺ CD8 T cells promoted relapse (HR = 2.183), while PD-L1⁺ tumor cells alone or in combination with T cells had no predictive value for relapse. In addition, in both TC and IM, CD8 were on average closer to PD-L1⁺ tumor cells than CD4, especially exhausted CD8. The effective density and percentage of PD-1⁺ CD4 T cells interacting with PD-L1⁺ tumor cells in the IM were both associated with recurrence, and the HRs increased sequentially (HRs were 2.809 and 4.063, respectively). Patients with low PD-1⁺CD4 count combined high PD-1⁺CD4 effective density showed significantly poorer RFS compared to those with high PD-1⁺CD4 count combined low PD-1⁺CD4 effective density, in both the TC and IM regions (HRs were 5.810 and 8.709, respectively).

CONCLUSION

Assessing the relative spatial proximity of PD-1/PD-L1 contributes to a deeper understanding of tumor immune escape and generates prognostic information in locally advanced NSCLC patients.

Nanoparticles overcome adaptive immune resistance and enhance immunotherapy via targeting tumor microenvironment in lung cancer

Lung cancer is one of the common malignant cancers worldwide. Immune checkpoint inhibitor (ICI) therapy has improved survival of lung cancer patients. However, ICI therapy leads to adaptive immune resistance and displays resistance to PD-1/PD-L1 blockade in lung cancer, leading to less immune response of lung cancer patients. Tumor microenvironment (TME) is an integral tumor microenvironment, which is involved in immunotherapy resistance. Nanomedicine has been used to enhance the immunotherapy in lung cancer. In this review article, we described the association between TME and immunotherapy in lung cancer. We also highlighted the importance of TME in immunotherapy in lung cancer. Moreover, we discussed how nanoparticles are involved in regulation of TME to improve the efficacy of immunotherapy, including Nanomedicine SGT-53, AZD1080, Nanomodulator NRF2, Cisplatin nanoparticles, Au@PG, DPAICP@ME, SPIO NP@M-P, NBTXR3 nanoparticles, ARAC nanoparticles, Nano-DOX, MS NPs, Nab-paclitaxel, GNPs-hPD-L1 siRNA. Furthermore, we concluded that targeting TME by nanoparticles could be helpful to overcome resistance to PD-1/PD-L1 blockade in lung cancer.

Sources of inter-individual variability leading to significant changes in anti-PD-1 and anti-PD-L1 efficacy identified in mouse tumor models using a QSP framework

While anti-PD-1 and anti-PD-L1 [anti-PD-(L)1] monotherapies are effective treatments for many types of cancer, high variability in patient responses is observed in clinical trials. Understanding the sources of response variability can help prospectively identify potential responsive patient populations. Preclinical data may offer insights to this point and, in combination with modeling, may be predictive of sources of variability and their impact on efficacy. Herein, a quantitative systems pharmacology (QSP) model of anti-PD-(L)1 was developed to account for the known pharmacokinetic properties of anti-PD-(L)1 antibodies, their impact on CD8⁺ T cell activation and influx into the tumor microenvironment, and subsequent anti-tumor effects in CT26 tumor syngeneic mouse model. The QSP model was sufficient to describe the variability inherent in the anti-tumor responses post anti-PD-(L)1 treatments. Local sensitivity analysis identified tumor cell proliferation rate, PD-1 expression on CD8⁺ T cells, PD-L1 expression on tumor cells, and the binding affinity of PD-1:PD-L1 as strong influencers of tumor growth. It also suggested that treatment-mediated tumor growth inhibition is sensitive to T cell properties including the CD8⁺ T cell proliferation half-life, CD8⁺ T cell half-life, cytotoxic T-lymphocyte (CTL)-mediated tumor cell killing rate, and maximum rate of CD8⁺ T cell influx into the tumor microenvironment. Each of these parameters alone could not predict anti-PD-(L)1 treatment response but they could shift an individual mouse's treatment response when perturbed. The presented preclinical QSP modeling framework provides a path to incorporate potential sources of response variability in human translation modeling of anti-PD-(L)1.

Aberrantly hypermethylated ARID1B is a novel biomarker and potential therapeutic target of colon adenocarcinoma

Background and Objective: Understanding the tumor microenvironment (TME) and immune cell infiltration (ICI) may help guide immunotherapy efforts for colon cancer (COAD). However, whether ARID1B is truly regulated by hypermethylation or linked to immune infiltration remains unknown. The current work focused on the ARID1B gene expression and methylation in COAD, as well as its relation with ICI.

Methods and Results: Multiple tools based on TCGA were used to analyze the differences in the expression of the ARID1B gene, DNA methylation, and its association with various clinicopathological features, somatic mutations, copy number variation, and the prognosis of patients with COAD. According to the analysis results, patients with high mRNA, low methylation levels showed better overall survival than patients with low mRNA, high methylation levels. The correlation analysis of immune cell infiltration and immune checkpoint gene expression showed that the infiltration rates of the main ICI subtypes, cancer-associated fibroblast, and myeloid cells were significantly enriched and correlated with ARID1B in COAD. An association between ARID1B expression and immune infiltration in COAD was found by correlating ICI indicators with ARID1B expression in the immune cell composition of the COAD microenvironment. Notably, M2 chemokines were related to ARID1B expression, while M1 chemokines were not.

Conclusion: This study provided evidence that ARID1B may have a role in the pathogenesis of COAD. The specific underlying mechanisms that could be responsible for ARID1B’s downregulation in COAD will need to be investigated in the future.

Host-Related Factors as Targetable Drivers of Immunotherapy Response in Non-Small Cell Lung Cancer Patients

Despite some significant therapeutic breakthroughs leading to immunotherapy, a high percentage of patients with non-small cell lung cancer (NSCLC) do not respond to treatment on relapse, thus experiencing poor prognosis and survival. The unsatisfying results could be related to the features of the tumor immune microenvironment and the dynamic interactions between a tumor and immune infiltrate. Host-tumor interactions strongly influence the course of disease and response to therapies. Thus, targeting host-associated factors by restoring their physiologic functions altered by the presence of a tumor represents a new therapeutic approach to control tumor development and progression. In NSCLC, the immunogenic tumor balance is shifted negatively toward immunosuppression due to the release of inhibitory factors as well as the presence of immunosuppressive cells. Among these cells, there are myeloid-derived suppressor cells, regulatory T cells that can generate a tumor-permissive milieu by reprogramming the cells of the hosts such as tumor-associated macrophages, tumor-associated neutrophils, natural killer cells, dendritic cells, and mast cells that acquire tumor-supporting phenotypes and functions. This review highlights the current knowledge of the involvement of host-related factors, including innate and adaptive immunity in orchestrating the tumor cell fate and the primary resistance mechanisms to immunotherapy in NSCLC. Finally, we discuss combinational therapeutic strategies targeting different aspects of the tumor immune microenvironment (TIME) to prime the host response. Further research dissecting the characteristics and dynamic interactions within the interface host-tumor is necessary to improve a patient fitness immune response and provide answers regarding the immunotherapy efficacy, with the aim to develop more successful treatments for NSCLC.

An integrated biomarker of PD-L1 expression and intraepithelial CD8+ T cell infiltration was associated with the prognosis of lung cancer patients after intracranial resection of brain metastases

Background

Brain metastases (BM) are common in lung cancer. However, data on the status of immune biomarkers in BM lesions remain limited.

Methods

We retrospectively analyzed PD‐L1 expression and infiltration levels of CD3⁺, CD4⁺, CD8⁺ T cells as biomarkers by immunohistochemistry in both BM lesions and primary lung cancer (PL) lesions of 29 lung cancer (LC) patients. In addition, the correlations between these biomarkers and the clinical outcome were analyzed using log‐rank test.

Results

Intratumoral heterogeneous expression of PD‐L1 was observed on tumor cells (TCs) in 11 cases and on immune cells (ICs) in 10 cases with BM samples from multiple regions. There was a disagreement in PD‐L1 expression on TCs between paired BM and PL lesions in 15 cases and on ICs in seven cases. Intraepithelial CD3⁺ and CD8⁺ T cell infiltration levels in BM samples were lower than those in the paired PL samples. PD‐L1 positivity on both TCs and ICs was associated with a better post‐BM‐surgery prognosis (p = 0.010; p = 0.041). Notably, PD‐L1 positivity on TCs and a high level of intraepithelial CD8⁺ T cell infiltration could serve as an integrated biomarker that indicates longer survival time (p = 0.004) in LC patients.

Conclusion

The heterogeneity in PD‐L1 expression was common in both stromal and intraepithelial regions in BM lesions of LC patients, suggesting the need for multiregional PD‐L1 testing in clinical practice. More importantly, a combination of PD‐L1 expression on TCs with intraepithelial CD8⁺ T cell infiltration might predict better post‐BM‐surgery outcomes.

Long non-coding RNA Opa interacting protein 5-antisense RNA 1 binds to micorRNA-34a to upregulate oncogenic PD-L1 in non-small cell lung cancer

Long non-coding RNA (lncRNA) OPA-interacting protein 5 antisense transcript 1 (OIP5-AS1) plays an oncogenic role in several types of cancer, but whether it is involved in non-small-cell lung cancer (NSCLC) is unclear. Our preliminary sequencing analysis revealed the upregulation of OIP5-AS1 in NSCLC. In this study, gene expression levels were analyzed by RT-qPCR. RNA-RNA pull-down assay was applied to detect direct interactions between RNAs. Overexpression assays were performed to explore the relationship between miR-34a and OIP5-AS1. CCK-8 assay and colony formation assay were applied to evaluate cell proliferation. In NSCLC cells (H23), overexpression of OIP5-AS1 increased the expression levels of programmed death-ligand 1 (PD-L1). In addition, inhibition of OIP5-AS1 and overexpression of miR-34a decreased the expression levels of PD-L1, and miR-34a significantly blocked the role of overexpression of OIP5-AS1. Overexpression of OIP5-AS1 and PD-L1 promoted H23 and H22 cells proliferation, while silencing of miR-34a and OIP5-AS1 played opposite roles and eliminated the effects of overexpression of OIP5-AS1 on cell proliferation. Therefore, OIP5-AS1 was upregulated to enhance the expression of oncogenic PD-L1 by sponging miR-34a in NSCLC, leading to promoted NSCLC cell proliferation. Our study also demonstrated that OIP5-AS1 was upregulated while miR-34a was downregulated in NSCLC.

Toripalimab plus chemotherapy as second-line treatment in previously EGFR-TKI treated patients with EGFR-mutant-advanced NSCLC: a multicenter phase-II trial

This multicenter phase-II trial aimed to investigate the efficacy, safety, and predictive biomarkers of toripalimab plus chemotherapy as second-line treatment in patients with EGFR-mutant-advanced NSCLC. Patients who failed from first-line EGFR-TKIs and did not harbor T790M mutation were enrolled. Toripalimab plus carboplatin and pemetrexed were administrated every three weeks for up to six cycles, followed by the maintenance of toripalimab and pemetrexed. The primary endpoint was objective-response rate (ORR). Integrated biomarker analysis of PD-L1 expression, tumor mutational burden (TMB), CD8 + tumor-infiltrating lymphocyte (TIL) density, whole-exome, and transcriptome sequencing on tumor biopsies were also conducted. Forty patients were enrolled with an overall ORR of 50.0% and disease-control rate (DCR) of 87.5%. The median progression free survival (PFS) and overall survival were 7.0 and 23.5 months, respectively. The most common treatment-related adverse effects were leukopenia, neutropenia, anemia, ALT/AST elevation, and nausea. Biomarker analysis showed that none of PD-L1 expression, TMB level, and CD8 + TIL density could serve as a predictive biomarker. Integrated analysis of whole-exome and transcriptome sequencing data revealed that patients with DSPP mutation had a decreased M2 macrophage infiltration and associated with longer PFS than those of wild type. Toripalimab plus chemotherapy showed a promising anti-tumor activity with acceptable safety profiles as the second-line setting in patients with EGFR-mutant NSCLC. DSPP mutation might serve as a potential biomarker for this combination. A phase-III trial to compare toripalimab versus placebo in combination with chemotherapy in this setting is ongoing (NCT03924050).

Prognostic impact of tumor-infiltrating lymphocytes in non-small cell lung carcinomas

INTRODUCTION

Tumor-infiltrating lymphocytes represent a pivotal component of the host anti-tumor response. Thus, they considerably influence the evolution of cancers including non-small cell lung carcinomas. Even if, this important role is consensual, many discordant results are published in the literature about the prognostic role of the different populations of tumor-infiltrating lymphocytes. The aim of our work was to evaluate the prognostic impact of CD8+, CD4+, and forkhead box protein P3+ lymphocytes in the tumor microenvironment of non-small cell lung carcinomas.

METHODS

We conducted a retrospective descriptive study, which included non-small cell lung carcinomas diagnosed in the department of pathology and followed in the medical oncology department of the same hospital between 2011 and 2015. Tumor-infiltrating lymphocytes were analyzed by the immunohistochemical method for forkhead box protein P3, CD4, and CD8. Intratumoral and stromal-labeled lymphocytes were quantified by manual counting at high magnification (×400). Forkhead box protein P3+/CD8+, forkhead box protein P3+/CD4+, and CD8+/CD4+ ratios were subsequently calculated. The prognostic value of tumor-infiltrating lymphocytes was assessed in respect of overall survival, recurrence-free survival, and relapse-free survival.

RESULTS

Thirty-nine patients were included. The mean age of patients was 59.6 years. A complete surgical resection (p = 0.009), and a CD8/CD4 ratio (p = 0.008) were prognostic factors for overall survival. Complete surgical resection (p = 0.003), the forkhead box protein P3/CD8 (p = 0.005), and forkhead box protein P3/CD4 (p = 0.037) ratios were prognostic factors for recurrence-free survival. The CD8+ tumor-infiltrating lymphocytes rate (p = 0.037) was a prognostic factor for relapse-free survival with a threshold of 67.8/high power field. Microscopic subtype (p = 0.037) was a prognostic factor for relapse-free survival when only adenocarcinoma and squamous cell carcinoma were considered. In multivariate analysis, age (p = 0.004) and a CD8/CD4 ratio (p = 0.016) were independent predictors of overall survival.

CONCLUSION

Despite the limitations of our study, our results confirm the prognostic value of tumor-infiltrating lymphocytes in non-small cell lung carcinomas and the importance of the combined quantification of their different subpopulations.

Immune Checkpoint Inhibitors in EGFR-Mutated NSCLC: Dusk or Dawn?

Although immune checkpoint inhibitors (ICIs) that target programmed cell death protein-1/programmed cell death ligand-1 axis have significantly shifted the treatment paradigm in advanced NSCLC, clinical benefits of these agents are limited in patients with EGFR-mutated NSCLC. Several predictive biomarkers (e.g., programmed cell death ligand-1 expression, tumor mutation burden), which have been validated in EGFR-wild type NSCLC, however, are not efficacious in EGFR-mutated tumors, suggesting the unique characteristics of tumor microenvironment of EGFR-mutated NSCLC. Here, we first summarized the clinical evidence on the efficacy of ICIs in patients with EGFR-mutated NSCLC. Then, the cancer immunogram features of EGFR-mutated NSCLC was depicted to visualize the state of cancer-immune system interactions, including tumor foreignness, tumor sensitivity to immune effectors, metabolism, general immune status, immune cell infiltration, cytokines, and soluble molecules. We further discussed the potential subpopulations with EGFR mutations that could benefit from ICI treatment. Lastly, we put forward future strategies to adequately maximize the efficacy of ICI treatment in patients with EGFR-mutated NSCLC in the upcoming era of combination immunotherapies.

Tumor Immune Microenvironment Characteristics and Their Prognostic Value in Non-Small-Cell Lung Cancer

Introduction

Cancer progression is determined not only by the malignant behavior of tumors but also by the immune microenvironment. The tumor immune microenvironment also plays a pivotal role in determining the clinical response of non-small-cell lung cancer (NSCLC) to immunotherapies. To understand the possible mechanisms and explore new targets in lung cancer immunotherapy, we characterized the immune profiles in NSCLC patients.

Methods

Seventy-one NSCLC patients who underwent radical resection were selected. The immune cell composition in paired tumor and adjacent normal lung tissues was tested by flow cytometry. The associations of tumor immune microenvironment characteristics with clinicopathological factors and overall survival were analyzed. Kaplan–Meier curves and Cox proportional hazards models were used to determine differences in survival.

Results

Compared with adjacent normal lung tissues, an increased proportion of CD45⁺ hematopoietic-derived cells, CD4⁺ T cell subtypes, Tregs and B cells was observed in tumor samples with a reduced frequency of myeloid cell populations. There was no significant increase in total CD8⁺ T cells, but both PD1⁺ and CD38⁺ CD8⁺ T cells were significantly enriched in tumor samples and statistically significantly associated with tumor size. In addition, positive CD38 expression was highly correlated with PD1 positivity. A high proportion of CD8⁺ T cells and a low percentage of PD1⁺ CD8⁺ T cells were statistically significantly associated with better survival in stage II and III patients, whereas a low frequency of CD38⁺ CD8⁺ T cells was statistically significantly associated with better survival in all patients and identified as an independent prognostic factor (p=0.049).

Conclusion

We profiled the immune cells in the tumor tissues of NSCLC patients using flow cytometry. The results revealed significant enrichment of infiltrating immune cells. A strong correlation was identified between CD38 and PD-1 expression on CD8⁺ T cells in tumors. CD8⁺ T cells and their subtypes play a critical role in the prediction of prognosis.

Efficacy of immune-checkpoint inhibitors in advanced non-small cell lung cancer patients with different metastases

Background

To investigate the significance of metastatic sites and their numbers to the efficacy of immune checkpoint inhibitors (ICIs) in patients with advanced non-small cell lung cancer (NSCLC).

Methods

A total of 232 patients who received ICI monotherapy or ICI-based combination therapy were retrospectively identified from January 2016 to February 2019. Six metastatic sites (brain, liver, bone, adrenal gland, contralateral lung, pleura) were included to analyze their significance to ICI efficacy. To explore the association between liver metastasis (LM) and tumor T cell infiltration, 46 patients with available tumor specimens were tested for PD-L1 expression, CD8+ tumor infiltrating lymphocytes (TILs) density. Overall survival (OS) and progression-free survival (PFS) were estimated by Kaplan-Meier curves.

Results

More metastatic organs involved were associated with significantly worse PFS (0–1 organ: 5.7 months, 2–3 organs: 3.5 months, ≥4 organs: 2.7 months, P<0.001) and lower ORR (36% vs. 29.8% vs. 18.2%, P<0.001). Patients with brain metastasis (BM) had shorter PFS and OS than those without (P=0.002, P=0.021; respectively). Notably, patients with LM had the shortest PFS (2.3 months, P=0.005) and numerically shortest OS (9.8 months, P=0.238) compared with those with other organ metastases. Multivariate analysis revealed that LM was independently associated with inferior PFS (P<0.001). Immunostaining showed that patients with LM tended to have lower proportions of PD-L1+CD8+TIL+ tumors compared with those without LM (0% vs. 30.8%, P=0.088). Interestingly, ICI-based combination therapy could effectively control LM with improved intrahepatic PFS (P=0.056) and ORR (41.7% vs. 6.7%, P=0.030).

Conclusions

More metastatic organs involved were associated with poorer response to ICIs. LM was a negative predictive factor for patients treated with ICI monotherapy and the combination strategy might effectively control LM.

Prognostic value of the common tumour-infiltrating lymphocyte subtypes for patients with non-small cell lung cancer: A meta-analysis

Background

Many previous studies have revealed that tumour-infiltrating lymphocytes (TILs) are significantly associated with prognosis in various tumours. However, this finding remains controversial in non-small cell lung cancer (NSCLC). We performed this meta-analysis systematically to evaluate the prognostic value of TILs in NSCLC.

Methods

The references were collected by searching the PubMed, EMBASE and Web of Science databases. The pooled hazard ratios (HRs) with 95% confidence intervals (CIs) were summarized using random or fixed effects models to evaluate the association between TILs and NSCLC survival outcomes.

Results

A total of 45 interrelated studies were eligible that included 11,448 patients. Pooled analysis showed that a high density of TILs indicated a better overall survival (HR = 0.80, 0.70–0.89) and progression-free survival (HR = 0.73, 0.61–0.85) for patients with NSCLC; a high density of CD3+ TILs in the tumour nest indicated a better overall survival (HR = 0.84, 0.69–0.99) and disease-specific survival (HR = 0.57, 0.34–0.80); a high density of CD4+ TILs in the tumor nest indicated a favourable overall survival (HR = 0.86, 0.76–0.96); a high density of CD8+ TILs indicated a favourable overall survival (HR = 0.995, 0.99–1.0), progression-free survival (HR = 0.52, 0.34–0.71), disease-free survival (HR = 0.64, 0.43–0.85), relapse/recurrence-free survival (HR = 0.42, 0.18–0.67) and disease-specific survival (HR = 0.56, 0.35–0.78); and a high density of CD20+ TILs in the tumour nest indicated a favourable overall survival (HR = 0.65, 0.36–0.94). However, a high density of Foxp3+ TILs in the tumour stroma indicated a worse relapse/recurrence-free survival (HR = 1.90, 1.05–2.76) in NSCLC.

Conclusions

Our meta-analysis confirmed that high densities of TILs, CD3+TILs, CD4+TILs, CD8+TILs and CD20+TILs in the tumour nest are favourable prognostic biomarkers for patients with NSCLC, and Foxp3+TILs in the tumour stroma are a poor prognostic biomarker.

Comparative expression analysis of PD-1, PD-L1, and CD8A in lung adenocarcinoma

BACKGROUND

As a new strategy for advanced lung adenocarcinoma (LUAD), programmed cell death protein 1 (PD-1) pathway inhibitors have been used in clinic for several years. However, the roles of PD-1, programmed cell death-ligand 1 (PD-L1), and CD8A in LUAD are still unclear. In the study, we aimed to assess the correlation between the mRNA expression of these three factors and the clinical characteristics of LUAD, and to explore the influence of the PD-1/PD-L1/CD8A axis on the prognosis of LUAD.

METHODS

The mRNA expression data and clinical characteristics of LUAD patients were retrieved from The Cancer Genome Atlas (TCGA). The optimal cutoff value for PD-1, PD-L1, and CD8A was determined by Cutoff Finder. The chi-square test was used to compare categorical variables. The prognostic effects of variables were analyzed using the Kaplan---Meier method and the Cox proportional hazards model.

RESULTS

A total of 484 cases were enrolled in this study according to the selection process. The optimal cutoff values for identifying high/low mRNA expression were defined as 27.4 for PD-1, 29.41 for PD-L1, and 95.52 for CD8A. The high expression of PD-1 (P=0.015) and PD-L1 (P=0.027) was more frequent in women than in men. The high expression of PD-1 (P=0.003), PD-L1 (P=0.002), and CD8A (P=0.003) was associated with early T status, whereas CD8A showed a significantly higher expression in both the early stage (P=0.006) and early N stage groups (P=0.031). PD-1, PD-L1, and CD8A were significantly positively correlated among pairs (P<0.001). High expression of each of the three genes was associated with better prognosis (P=0.030 for PD-1, P=0.046 for PD-L1, P=0.019 for CD8A), although the relation did not reach statistical significance in the Cox regression hazards model.

CONCLUSIONS

The study defined a group of cutoff values for PD-1, PD-L1, and CD8A to identify high and low mRNA expression in LUAD. The high expression of PD-1, PD-L1, and CD8A was associated with early T status, and CD8A showed significantly higher expression in both early stage and early N stage groups. Although the high expression of each of these three genes was associated with favorable overall survival (OS), they were not independent prognostic factors.

Combined Immunoscore for Prognostic Stratification of Early Stage Non-Small-Cell Lung Cancer

Background

To date, no combined immunoscore has been evaluated for prognostic stratification of early stage non-small-cell lung cancer (NSCLC). The main goal of this study was to investigate the prognostic impact of programmed death ligand 1 (PD-L1) expression and different immune cell components (CD4+, CD8+ T-lymphocytes, and CD68+ macrophages) in early stage NSCLC patients, distinguishing peritumoral (PT) and intratumoral (IT) localizations. The secondary aim was to identify a combined immunoscore to optimize the prognostic stratification of NSCLC patients.

Methods

This retrospective study included surgical specimens from consecutive chemo-naive stage II-III radically resected NSCLC patients. Immunohistochemistry was carried out to evaluate PD-L1 expression and to quantify IT and PT CD4+, CD8+ T-lymphocytes, and CD68+ macrophages. The impact of a single marker and of a combination of multiple markers on overall survival (OS) was investigated.

Results

Seventy-nine patients were included in the study. PD-L1 expression was associated with worse prognosis (3 years OS: 58% in high- compared with 67% in low-expressing tumors), even though without statistical significance. When integrating PT CD8+, CD4+, and CD68 into a combined PT immunoscore, a significant prognostic stratification of patients was obtained and confirmed at multivariate analysis (3 years OS: 86% in patients with low PT immunoscore vs. 59% in patients with high PT immunoscore, p = 0.018). The integration of derived neutrophil/lymphocyte ratio (dNLR) with combined PT immunoscore improved prognostic stratification, with longer OS in patients with low PT immunoscore and low dNLR (p = 0.002).

Conclusion

The combined PT immunoscore (CD8+, CD4+, and CD68) integrated with dNLR may be a promising marker for the development of an integrated Tumor, Node, Metastasis (TNM) immunoscore.

Expression of PD-1 and PD-L1 on Tumor-Infiltrating Lymphocytes Predicts Prognosis in Patients with Small-Cell Lung Cancer

Introduction

Immune therapy has shown good results in small-cell lung cancer (SCLC), but the impact of immune microenvironment of the disease is unclear. In this work, we detected expression of programmed death 1 (PD-1), PD-ligand 1 (PD-L1), and other immune biomarkers of cancer. We also analyzed the correlations between these markers and survival in SCLC.

Patients and Methods

Protein expression of PD-1, PD-L1, PD-L2, CD3, CD4, CD8, and FOXP3 was analyzed in surgical tissues from 102 SCLC patients by immunohistochemistry.

Results

Positive expression of PD-1 on tumor-infiltrating lymphocytes (TILs) was found in 40.2% of patients; 37.3% of patients showed positive expression of PD-L1 on TILs; and 3.9% showed positive expression of PD-L1 on tumor cells. PD-L2 protein was not expressed on tumor cells or TILs. Survival analysis showed that positive expression of PD-L1 on TILs was correlated with longer relapse-free survival (RFS) (p=0.004). Positive expression of PD-1 combined with a high ratio of lymphocytes (CD3, p=0.004; CD4, p=0.011; CD8, p=0.009; FOXP3, p=0.009) was associated with significantly better RFS than negative expression of PD-1 combined with a lower ratio of lymphocytes. Positive expression of PD-L1 combined with a high ratio of lymphocytes (CD3, p<0.001; CD4, p=0.001; CD8, p=0.002; FOXP3, p=0.001) was associated with significantly better RFS than negative expression of PD-L1 combined with a lower ratio of lymphocytes. All patients’ stage were between I and III.

Conclusion

PD-1 and PD-L1 expression might be good prognostic factors in SCLC.

Expression of Immune Response Markers in Arab Patients With Lung Cancer

PURPOSE

Programmed death-ligand 1 (PD-L1) is a marker for checkpoint inhibitor use in the management of solid tumors, especially in non-small-cell lung cancer (NSCLC). Our study was aimed at determining the patterns of PD-L1 expression and cluster of differentiation 8 (CD8) immunostains in patients with NSCLC in the Arab population.

METHODS

Archival tumor tissue from patients with a confirmed diagnosis of NSCLC were obtained and stained for PD-L1 with antibody 22C3, using immunohistochemistry staining and giving the tumor proportion score (TPS) as a percentage from 0%-100% of stained tumor cells. Tumors were categorized into negative expressers (TPS < 1%), low positive (TPS, 1%-49%), and high positive (TPS, 50%-100%). Correlation of expression with clinical and pathologic features, including CD8-positive (CD8+) lymphocyte density, was also analyzed.

RESULTS

Two hundred patients with NSCLC were included in the study from 6 centers in Saudi Arabia and Algeria. Median age was 65 years (28-93 years), and the majority were men (75%) with stage 4 NSCLC (64%). The TPS was high in 37 patients (18%), low in 60 patients (30%), and negative in 103 patients (52%). In a univariate analysis, the following were significant predictors of any PD-L1 expression (> 1%): male sex, being Saudi national patients, high expression of CD8+, and presence of tumor-infiltrating lymphocytes. In the multivariate analysis, only high expression of CD8+ cells (≥ 2+) was significant, with an odds ratio of 4.4 (95% CI, 1.5 to 12.9; P = .003).

CONCLUSION

PD-L1 expression in our population is similar to the published literature and correlated with the density of CD8+ cells. Validation of the predictive value of this marker in our population and identifying easier and reliable methods to test for it are warranted.

Chemoradiotherapy efficacy is predicted by intra-tumour CD8+/FoxP3+ double positive T cell density in locally advanced N2 non-small-cell lung carcinoma

BACKGROUND

Radiotherapy is a standard of care for locally advanced stage III N2 non-small-cell lung carcinoma (NSCLC) combined with surgery/chemotherapy. Radiotherapy is hypothesised to induce tumour immunogenic cell death, to release neoantigen resulting in intra-tumoural immune infiltration and abscopal effect. Conversely, it has not been demonstrated if immune cells are necessary to drive radiotherapy efficacy and predict patient's survival.

PATIENTS AND METHODS

We retrospectively analysed tumour samples and clinical data from 113 patients, 89 resected (PORT) and 24 non-resected (DRC) N2-NSCLC treated with chemotherapy and radiotherapy (same radiotherapy department from 2002 to 2015). The immune environment was characterised with in situ multiplex staining (CD8, FoxP3, PD-L1 and cytokeratin) and correlated with clinical data and survival.

RESULTS

High density of CD8+ T cells was associated with OS (p = 0.04, HR = 1.93 [0.99-3.78]) and DFS (p = 0.003, HR = 2.42 [1.31-4.47]) in the PORT. High density of CD8+/FoxP3+ double positive cells was associated with OS (p = 0.01, HR = 1.97 [1.11-3.48]) in the whole population, with OS (p = 0.05, HR = 1.92 [0.98-3.74]) and PFS (p = 0.03, HR = 1.83 [1.03-3.23]) in the PORT without reaching significance for the DRC. Intermediate PD-L1 expression in tumour cells (TPS = 1-49%) was associated with a higher survival in the PORT.

CONCLUSIONS

Intra-tumoural CD8+ T cell and particularly CD8+/FoxP3+ double positive T cell densities predict survival in stage III N2-NSCLC suggesting the need for a pre-existing intra-tumour immunity to mediate the action of radiotherapy. Density of CD8+/FoxP3+ cells was the best predictor of patient's survival in multivariate analysis and could represent a biomarker of radiotherapy efficacy.

Association of Programmed Death 1 Protein Ligand (PD-L1) Expression With Prognosis in Merkel Cell Carcinoma

Background: Merkel cell carcinoma (MCC) is a rare neuroendocrine skin cancer. Prior to the advent of immunotherapy, treatment options were limited. In our study, we evaluate the impact of tumor cell PD-L1 expression and tumor immune microenvironment on survival in MCC patients who were not treated with immune checkpoint inhibitors.

Methods: Clinical data and tissue samples were collected from 78 patients with confirmed MCC treated at Dana-Farber Cancer Institute. Specimens were analyzed for the distribution of PD-L1 by immunohistochemistry staining (IHC) and standardized analysis. Results were correlated with survival data.

Results: In this study, membrane and cytoplasmic MCC tumor cell staining for PD-L1 was detected in 22.4% (15 of 67) of cases and PD-L1 staining of intratumoral microvessels and PD-L1 positive immune cells at the infiltrative margins of the tumor in 92.5% (62 of 67) of cases. In patients untreated with immune checkpoint inhibitors, median overall survival was not different for patients based on PD-L1 expression (PD-L1+ 64 months vs. PD-L1- not reached; HR = 1.26, 95% CI: 0.46–3.45; p = 0.60).

Conclusion: PD-L1 expression is frequently detected in MCC tumor cells and tumor microenvironment. PD-L1 expression did not affect prognosis in this cohort that had not received PD-1/L1 blockade.

Real-world programmed death-ligand 1 prevalence rates in non-small cell lung cancer: correlation with clinicopathological features and tumour mutation status

AIMS

The detection of programmed death-ligand 1 (PD-L1) protein expression on tumour cells by immunohistochemistry (IHC) is a predictor of response to immune checkpoint inhibitors. New immunotherapeutic options are changing the treatment paradigm for patients with advanced non-small cell lung cancer (NSCLC). The aim of this retrospective study was to investigate real-world prevalence of PD-L1 expression in NSCLC and any correlations with clinicopathological features.

METHODS

We reviewed 425 NSCLC cases at a Sydney metropolitan hospital that had PD-L1 IHC (SP263 clone) expression estimated as part of routine diagnostic assessment during a 30-month period.

RESULTS

Overall, 32.2% of cases were negative for PD-L1 expression (<1%), 40.3% demonstrated low expression (1%-49%) and 27.5% exhibited high protein expression (≥50%). High PD-L1 expression rates were more likely in non-lung resection cases and in KRAS mutant NSCLC as opposed to KRAS wildtype, while lower expression rates were more commonly found in EGFR mutant NSCLC compared with EGFR wildtype tumours.

CONCLUSIONS

Ongoing observation and comparison of PD-L1 expression rates is an important practice for ensuring its validity as a predictive biomarker. The results from our study align with and contribute to the growing field of published real-world PD-L1 prevalence rates in NSCLC.

Association of CD8 T cell apoptosis and EGFR mutation in non-small lung cancer patients

Background

The abundance of tumor infiltrating CD8 T cells is an important parameter for antitumor effect of PD‐1/PD‐L1 immune checkpoint inhibitors, which is less in epidermal growth factor receptor (EGFR) mutation than wild‐type non‐small cell lung cancer (NSCLC). The mechanism still requires further study.

Methods

In total 190 surgical lung adenocarcinoma samples were included. EGFR mutation was detected using amplification‐refractory mutation system. CD8 T cells and apoptosis were assessed by immunohistochemistry and immunofluorescence staining in tumor samples. Exosomes extracted from lung cancer cell lines with and without EGFR mutation were used to test the function of promoting apoptosis in vitro.

Results

The ratio of CD8 tumor infiltration lymphocytes was significantly lower in EGFR‐mutant than in wild‐type patients (P = 0.026). A higher ratio of apoptosis was also prone to occur in EGFR‐mutant patients (P = 0.035). The distribution of apoptosis was not statistically associated with the ratio of CD8 TILs. An in vitro experiment indicated that exosomes secreted by EGFR‐mutant non‐small cell lung cancer cell lines PC9 and HCC827 were more capable of promoting CD8 T cell apoptosis than EGFR wild‐type cell lines H1299 and SK‐MES‐1 (P = 0.007 and P = 0.010, respectively).

Conclusions

Non‐small cell lung cancer EGFR mutation could promote CD8 T cell apoptosis more than wild‐type. Inhibiting CD8 + TILs apoptosis may strengthen immunotherapy effects in EGFR‐mutant NSCLC patients.

Expression of PD-L1, PD-L2, and IDO1 on tumor cells and density of CD8-positive tumor-infiltrating lymphocytes in early-stage lung adenocarcinoma according to histological subtype

PURPOSE

This study examined the expression of programmed cell death-ligand 1 (PD-L1), programmed cell death-ligand 2 (PD-L2), and indoleamine 2,3-dioxygenase-1 (IDO1) in tumor cells and cluster of differentiation 8 (CD8)-positive tumor-infiltrating lymphocytes (TILs) in early-stage lung adenocarcinoma according to histological subtypes.

METHODS

We evaluated PD-L1, PD-L2, and IDO1 expression in tumor cells and CD8-positive TILs in surgically resected specimens from 196 stage 0 or I lung adenocarcinoma patients by immunohistochemical staining. We also examined the relationships between the expression of PD-L1, PD-L2, and IDO1 in tumor cells and the density of CD8-positive TILs and clinical factors. Patients were divided into three groups: A, adenocarcinoma in situ and minimally invasive adenocarcinoma (N = 32); B, lepidic predominant invasive adenocarcinoma (IAD; LPA; N = 66); and C, IAD except for LPA (N = 98).

RESULTS

PD-L1 was expressed only in Group C, but not in Groups A or B. The positive ratio of PD-L2 was significantly higher in Group C (63.3%), and that of IDO1 was also significantly higher in Group C (65.3%). The density of CD8-positive TILs was significantly higher in Group C (45 ± 2.4). There was no significant difference between the positive ratios of PD-L2 and IDO1 and the density of CD8-positive TILs in Group A (50.0%, 21.9%, and 36 ± 4.1, respectively) or Group B (60.6%, 25.8%, and 44 ± 3.0, respectively).

CONCLUSIONS

No cases in Groups A and B expressed PD-L1. The expression of immune-related factors, especially PD-L1 and IDO1, was significantly associated with Group C. This is the first report of the detailed examination of PD-L1, PD-L2, IDO1, and CD8 expression in lung adenocarcinoma subtypes with lepidic predominant components. Our results could help identify patients who would benefit from perioperative immunotherapy.

Prognostic value of PD-L1 expression on tumor cells combined with CD8+ TIL density in patients with locally advanced non-small cell lung cancer treated with concurrent chemoradiotherapy

Background/aim

mmune checkpoint inhibition (CPI) has an increasing impact in the multimodal treatment of locally advanced non-small cell lung cancer (LA-NSCLC). Increasing evidence suggests treatment outcome depending on tumor cell PD-L1 expression. The purpose of this retrospective study was to investigate the prognostic value of PD-L1 expression on tumor cells in combination with CD8+ tumor stroma-infiltrating lymphocyte (TIL) density in inoperable LA-NSCLC treated with concurrent chemoradiotherapy (CRT).

Patients and method

We retrospectively assessed clinical characteristics and initial tumor biopsy samples of 31 inoperable LA-NSCLC patients treated with concurrent CRT. Prognostic impact of tumor cell PD-L1 expression (0% versus ≥1%) and CD8+ TIL density (0–40% vs. 41–100%) for local control, progression-free (PFS) and overall survival (OS) as well as correlations with clinicopathological features were evaluated.

Results

Median OS was 14 months (range: 3–167 months). The OS rates at 1- and 2 years were 68 and 20%. Local control of the entire cohort at 1 and 2 years were 74 and 61%. Median PFS, 1-year and 2-year PFS were 13 ± 1.4 months, 58 and 19%. PD-L1 expression < 1% on tumor cells was associated with improved OS, PFS and local control in patients treated with concurrent CRT. Univariate analysis showed a trend towards improved OS and local control in patients with low CD8+ TIL density. Evaluation of Tumor Immunity in the MicroEnvironment (TIME) appears to be an independent prognostic factor for local control, PFS and OS. The longest and shortest OS were achieved in patients with type I (PD-L1^neg/CD8^low) and type IV (PD-L1^pos/CD8^low) tumors (median OS: 57 ± 37 vs. 10 ± 5 months, p = 0.05), respectively.

Conclusion

Assessment of PD-L1 expression on tumor cells in combination with CD8+ TIL density can be a predictive biomarker in patients with inoperable LA-NSCLC treated with concurrent CRT.

Characterization of PD-L1 protein expression and CD8+ tumor-infiltrating lymphocyte density, and their associations with clinical outcome in small-cell lung cancer

Background

This study aimed to characterize programmed death ligand-1 (PD-L1) expression and CD8⁺ tumor-infiltrating lymphocytes (TILs) density, and their impact on survival in patients with surgically resected small-cell lung cancer (SCLC).

Methods

Fifty-six patients with surgically resected SCLC were included. PD-L1 protein expression and CD8⁺ TILs were tested by immunohistochemistry. A meta-analysis of 15 articles with 1,505 patients that investigated the prevalence and prognostic significance of PD-L1 expression in SCLC was conducted.

Results

Twenty-two (39.3%) patients had positive PD-L1 protein expression and 42 (75.0%) had high CD8⁺ TILs density. PD-L1 expression level was not associated with CD8⁺ TILs density (P=0.528). No any association between clinicopathological features and PD-L1 expression level or CD8⁺ TILs density was observed. Positive PD-L1 expression [hazard ratio (HR) =0.374, P=0.002] and high CD8⁺ TILs density (HR =0.429, P=0.008) were independently associated with significantly longer overall survival (OS), which remain the statistical significance in multivariate analyses (P=0.007, P=0.002; respectively). Meta-analysis showed that the prevalence of positive PD-L1 expression was 0.35 [95% confidence interval (CI), 0.22-0.48] and positive PD-L1 expression was correlated with markedly longer OS (HR =0.61; 95% CI, 0.31-0.91) in patients with SCLC.

Conclusions

The prevalence of PD-L1 expression in surgically resected SCLC is lower than that published for NSCLC. There was no association between PD-L1 expression or CD8⁺ TILs density and clinicopathological parameters. PD-L1 expression and CD8⁺ TILs density was independently correlated with better outcome in patients with SCLC.

The clinicopathological and prognostic significance of PD-L1 expression assessed by immunohistochemistry in lung cancer: a meta-analysis of 50 studies with 11,383 patients

Background

We conducted a meta-analysis to systematically evaluate the relationship between programmed death-ligand 1 (PD-L1) expression and survival in patients with lung cancer.

Methods

The electronic databases PubMed, Embase, Cochrane, and Web of Science were searched up to January 2^nd, 2018, for articles relating to PD-L1 expression detected by immunohistochemistry (IHC) and lung cancer patient prognosis.

Results

Fifty studies including 11,383 patients published between 2011 and 2017 were enrolled in this meta-analysis. The pooled hazard ratios (HRs) and 95% confidence intervals (CIs) suggested that PD-L1 IHC expression was related to poor overall survival (OS) (HR =1.45, 95% CI: 1.24-1.68). In subgroup analysis categorized according to sample type, cut-off value, ethnicity and TNM stage, the pooled results demonstrated inferior survival in the PD-L1 positive group when the PD-L1 expression was detected by resection specimens (P=0.000), 5% was taken as the cutoff value (P=0.000), the patients were in early stage (I-III) (P=0.000), and the geographic setting of the study was in Asia (P=0.000). Besides, patients with high PD-L1 expression had shorter OS in NSCLC (P=0.000), ADC (P=0.000), SCC (P=0.353) and LELC (P=0.810), while no significant difference was observed in SCLC (P=0.000). The pooled odds ratios (ORs) suggested that PD-L1 expression was associated with male (P<0.001), smoker (P<0.001), poor tumor differentiation (P=0.014), large tumor size (P=0.132), positive lymph nodal metastasis (P=0.002), EGFR wild-type status (P<0.001) and KRAS mutations (P=0.393). However, age (P=0.15) and ALK rearrangements (P=0.567) had no bearing on PD-L1 expression.

Conclusions

PD-L1 expression that is associated with several clinicopathological feactures may serve as a poor prognostic biomarker for patients with lung cancer.

Genomic landscape and its correlations with tumor mutational burden, PD-L1 expression, and immune cells infiltration in Chinese lung squamous cell carcinoma

INTRODUCTION

To depict the genomic landscape of Chinese early-stage lung squamous cell carcinoma (LUSC) and investigate its correlation with tumor mutation burden (TMB), PD-L1 expression, and immune infiltrates.

METHODS

Whole-exome sequencing was performed on 189 surgically resected LUSC. TMB was defined as the sum of nonsynonymous single nucleotide and indel variants. CD8⁺ tumor-infiltrating lymphocyte (TIL) density and PD-L1 expression were evaluated by immunohistochemistry. Six immune infiltrates were estimated using an online database.

RESULTS

The median TMB was 9.43 mutations per megabase. Positive PD-L1 expression and CD8⁺ TILs density were identified in 24.3% and 78.8%. PIK3CA amplification was associated with significantly higher TMB (P = 0.036). Frequent genetic alterations had no impact on PD-L1 expression but PIK3CA amplification and KEAP1 mutation were independently associated with significantly lower CD8⁺ TIL density (P < 0.001, P = 0.005, respectively). Low TMB and high CD8⁺ TIL density were independently associated with longer disease-free survival (DFS) while none of them could individually predict the overall survival (OS). Combination of TMB and PD-L1 expression or TMB and CD8⁺ TIL density could stratify total populations into two groups with distinct prognosis. Classifying tumor-immune microenvironment based on PD-L1 expression and CD8⁺ TIL density showed discrepant genomic alterations but similar TMB, clinical features, and OS. Notably, patients with different smoking status had distinct prognostic factors.

CONCLUSION

The combination of TMB, PD-L1 expression, immune infiltrates, and smoking status showed the feasibility to subgroup stratification in Chinese patients with early-stage LUSC, which might be helpful for future design of personalized immunotherapy trials in LUSC.

First-line immune checkpoint blockade for advanced non-small-cell lung cancer: Travelling at the speed of light

The development of PD-1, PD-L1 and CTLA-4 immune checkpoint inhibitors (CPI) has revolutionised the treatment of advanced non-small cell lung cancer (NSCLC). The potential of immunotherapy (IO) to induce durable responses for a subset of patients represents a therapeutic milestone. After the approval of front-line single agent pembrolizumab, IO-based combinations are rapidly entering clinical practice resulting in a fast change of treatment algorithms for advanced NSCLC. We hereby summarize the recent first-line phase 3 trials evaluating PD-(L)1 blockade plus chemotherapy (ChT) and PD-1 plus CTLA-4 CPI for advanced NSCLC and provide potential treatment recommendations.

Automated image analysis of NSCLC biopsies to predict response to anti-PD-L1 therapy

Background

Immune checkpoint therapies (ICTs) targeting the programmed cell death-1 (PD1)/programmed cell death ligand-1 (PD-L1) pathway have improved outcomes for patients with non-small cell lung cancer (NSCLC), particularly those with high PD-L1 expression. However, the predictive value of manual PD-L1 scoring is imperfect and alternative measures are needed. We report an automated image analysis solution to determine the predictive and prognostic values of the product of PD-L1+ cell and CD8+ tumor infiltrating lymphocyte (TIL) densities (CD8xPD-L1 signature) in baseline tumor biopsies.

Methods

Archival or fresh tumor biopsies were analyzed for PD-L1 and CD8 expression by immunohistochemistry. Samples were collected from 163 patients in Study 1108/NCT01693562, a Phase 1/2 trial to evaluate durvalumab across multiple tumor types, including NSCLC, and a separate cohort of 199 non-ICT- patients. Digital images were automatically scored for PD-L1+ and CD8+ cell densities using customized algorithms applied with Developer XD™ 2.7 software.

Results

For patients who received durvalumab, median overall survival (OS) was 21.0 months for CD8xPD-L1 signature-positive patients and 7.8 months for signature-negative patients (p = 0.00002). The CD8xPD-L1 signature provided greater stratification of OS than high densities of CD8+ cells, high densities of PD-L1+ cells, or manually assessed tumor cell PD-L1 expression ≥25%. The CD8xPD-L1 signature did not stratify OS in non-ICT patients, although a high density of CD8+ cells was associated with higher median OS (high: 67 months; low: 39.5 months, p = 0.0009) in this group.

Conclusions

An automated CD8xPD-L1 signature may help to identify NSCLC patients with improved response to durvalumab therapy. Our data also support the prognostic value of CD8+ TILS in NSCLC patients who do not receive ICT.

Trial registration

ClinicalTrials.gov identifier: NCT01693562.

Study code: CD-ON-MEDI4736-1108.

Interventional study (ongoing but not currently recruiting).

Actual study start date: August 29, 2012.

Primary completion date: June 23, 2017 (final data collection date for primary outcome measure).

Electronic supplementary material

The online version of this article (10.1186/s40425-019-0589-x) contains supplementary material, which is available to authorized users.

Prognostic impact of CD8 and programmed death-ligand 1 expression in patients with resectable non-small cell lung cancer

Background

The prognostic impact of the expression of CD8 and programmed death-ligand 1 (PD-L1) has not been established in patients with resectable non-small cell lung cancer (NSCLC).

Methods

Surgical tissue specimens were obtained from 136 patients with NSCLC who underwent surgical resection. The expression levels of CD8 and PD-L1 were assessed using tissue microarrays and immunohistochemistry.

Results

The CD8-positive group showed significant increases in overall survival (OS) (median, not reached [NR] vs. 28.452 months) and relapse-free survival (RFS) (median, NR vs. 14.916 months) compared with the CD8-negative group. In contrast to CD8, the PD-L1-negative group demonstrated significant increases in OS (median, NR vs. 29.405 months) and RFS (median, 63.573 vs. 17.577 months) compared with the PD-L1-positive group. Two prognostic groups were stratified according to CD8/PD-L1 expression: group 1 (CD8-positive/PD-L1-negative) vs. group 2 (CD8/PD-L1: positive/positive, negative/negative, negative/positive). Group 1 had better OS (median, NR vs. 29.405 months) and RFS (median, NR vs. 17.577 months) than group 2. Multivariate analysis indicated that group 1 constituted an independent favourable prognostic factor for OS (hazard ratio [HR], 0.329, p = 0.001) and RFS (HR, 0.293; p < 0.001).

Conclusions

Positive CD8 and negative PD-L1 expression together may be favourable prognostic markers in resectable NSCLC.

Deciphering Microenvironment of NSCLC based on CD8+ TIL Density and PD-1/PD-L1 Expression

Purpose: To determine whether distinct tissue immune microenvironments differentially impact on clinical outcome in non-small cell lung cancer (NSCLC), an extended analysis of PD-1/PD-L1 and Tumor Infiltrating Lymphocytes (TILs) was performed.

Materials and Methods: 1016 NSCLC mRNA-sequence samples from The Genome Data Analysis Center (TCGA) and 275 NSCLC mRNA-microarray samples from Gene Expression Omnibus (GEO) were included as testing cohort and validation cohort respectively. Enrichment scores of CD8+ T cells' metagene were used for quantifying its infiltrating density. Based on the median values of CD8+ T cell density and PD-1/PD-L1 mRNA expression, the samples were classified into four Tumor Immune Microenvironment types (TIMTs). Overall survival, as well as clinicopathological features, mutational profiles, mismatch repair score etc. were compared across the four types.

Results: Neither PD-1 expression nor PD-L1 expression was associated with outcome in the overall NSCLC. Classification of TIMT based on PD-1/PD-L1 and CD8+ TIL could efficiently classify patients of different survival in ADC but not SCC, with the best overall survival achieved in TIMT3 (high CD8+ TIL and low PD-1/PD-L1), whereas TIMT2 (low CD8+ TIL and high PD-1/PD-L1) manifested the worst outcome. TIMT classification based on PD-1/ CD8+ TIL could better stratify patient of different prognosis than PD-L1/ CD8+ TIL based classification. EGFR wide type and IFNγ overexpression were associated with TIMT4 (high PD-1/PD-L1 and high CD8+ TIL), whereas tumor mutational burden (TMB) manifested no significant difference across four TIMTs.

Conclusion: The classification of tumors into four microenvironment subtypes based on PD-1/PD-L1 status and CD8+ TIL is an appropriate approach to stratify patients of different clinical outcome and better guide the practical use of immunotherapy.

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.

[Analysis of immune microenvironment by multiplex immunohistochemistry in locally advanced non-small cell lung cancer: Principles and perspectives]

Recent therapeutic advances in non-small cell lung cancer allow a better understanding of the interactions between the tumour and its direct immune environment. The identification of new immune biomarkers integrating both cell subpopulations and their interactions is a real issue in oncology. New techniques of tissue analysis, particularly multiplex immunohistochemistry, consisting of a labelling of several antigens of interest by immunofluorescence on the same slide, provide a better understanding of the tumour environment. Integration of these modalities of analysis to the therapeutic decision is promising, because it allows an increased characterization of each tumour, particularly interesting with radiotherapy and immunotherapy. This article describes the potential of these assays in locally advanced non-small cell lung cancer.

Lung Cancers: Molecular Characterization, Clonal Heterogeneity and Evolution, and Cancer Stem Cells

Lung cancer causes the largest number of cancer-related deaths in the world. Most (85%) of lung cancers are classified as non-small-cell lung cancer (NSCLC) and small-cell lung cancer (15%) (SCLC). The 5-year survival rate for NSCLC patients remains very low (about 16% at 5 years). The two predominant NSCLC histological phenotypes are adenocarcinoma (ADC) and squamous cell carcinoma (LSQCC). ADCs display several recurrent genetic alterations, including: KRAS, BRAF and EGFR mutations; recurrent mutations and amplifications of several oncogenes, including ERBB2, MET, FGFR1 and FGFR2; fusion oncogenes involving ALK, ROS1, Neuregulin1 (NRG1) and RET. In LSQCC recurrent mutations of TP53, FGFR1, FGFR2, FGFR3, DDR2 and genes of the PI3K pathway have been detected, quantitative gene abnormalities of PTEN and CDKN2A. Developments in the characterization of lung cancer molecular abnormalities provided a strong rationale for new therapeutic options and for understanding the mechanisms of drug resistance. However, the complexity of lung cancer genomes is particularly high, as shown by deep-sequencing studies supporting the heterogeneity of lung tumors at cellular level, with sub-clones exhibiting different combinations of mutations. Molecular studies performed on lung tumors during treatment have shown the phenomenon of clonal evolution, thus supporting the occurrence of a temporal tumor heterogeneity.

Programmed death ligand 1 expression and CD8+ tumor-infiltrating lymphocyte density differences between paired primary and brain metastatic lesions in non-small cell lung cancer

Immunotherapy targeting the programmed cell death-1/programmed death ligand 1(PD-L1) pathway has shown promising antitumor activity in brain metastases (BMs) of non-small cell lung cancer (NSCLC) patients with an acceptable safety profile; however, the response rates often differ between primary lesions and intracranial lesions. Studies are necessary to identify detailed characterizations of the response biomarkers. In this study, we aimed to compare the differences of PD-L1 expression and CD8⁺ tumor-infiltrating lymphocyte (TIL) density, two major response biomarkers of PD-1/PD-L1 blockade, between paired primary and brain metastatic lesions in advanced NSCLC. We observed that among primary lesions or BMs, only a small number of patients harbored common PD-L1 expression on both tumor cells and tumor-infiltrating immune cells. Additionally, we found that the numbers of CD8⁺ TILs were significantly fewer in BMs than in primary lung cancers. Low stromal CD8⁺ TIL numbers in BMs were associated with significantly shorter overall survival compared to high stromal CD8⁺ TIL counts. Notably, we demonstrated a discrepancy in PD-L1 expression and CD8⁺ TIL density between primary lung cancers and their corresponding BMs. Such heterogeneities are significantly associated with the time at which BMs occurred. Our study emphasizes the spatial and temporal heterogeneity of biomarkers for anti-PD-1/PD-L1 therapy, which should be concerned in clinical practice.

Prognostic value of PD-L1 expression in combination with CD8+ TILs density in patients with surgically resected non-small cell lung cancer

To investigate the prognostic value of PD-L1 expression combined with CD8+ TILs density in patients with resected NSCLC and correlations with clinicopathological features. We retrospectively enrolled 178 patients with resected NSCLC from 2011 to 2015. All surgical primary and 58 matched metastatic lymph node specimens were tested for PD-L1, CD8+ TILs, and oncogenic alterations. PD-L1+ was detected in 71 (39.9%) and CD8high TILs in 74 (41.6%) cases. Smoking, SqCC, and EGFR- were associated with both PD-L1+ and CD8high TILs. Patients with CD8high TILs had longer OS (P = 0.012). PD-L1- was significantly associated with longer OS in patients with oncogenic alterations (P = 0.047). By multivariate analysis, CD8high TILs (HR = 0.411; 95% CI, 0.177-0.954; P = 0.038), rather than PD-L1, was the independent predictive factor for OS. The longest and shortest OS were achieved in patients with PD-L1+ /CD8high and PD-L1+ /CD8low , respectively (P = 0.025). Inconsistent PD-L1 expression levels were observed in 23 of 58 (39.7%) patients with primary and matched metastatic lymph node specimens. Of them, CD8high TILs was significantly associated with longer OS in patients with metastatic lymph nodes and/or consistent PD-L1 expression (P = 0.017 and 0.049, respectively). The combination of PD-L1 and CD8+ TILs density, instead of PD-L1 alone, suggested impressive prognostic values in NSCLC patients. Less than half of patients with resected NSCLC experienced inconsistent PD-L1 expression between primary and metastatic lesions. The level of PD-L1 expression in advanced NSCLC needs to be evaluated more comprehensively.

PD-L1 expression and its effect on clinical outcomes of EGFR-mutant NSCLC patients treated with EGFR-TKIs

Objective:

Epidermal growth factor receptor (EGFR) activation was reported to upregulate programmed death-ligand 1 (PD-L1) expression in lung cancer cells and subsequently contribute to immune escape, indicating its critical role in EGFR-driven lung tumors. This study characterized PD-L1 expression in patients with surgically resected EGFR-mutant non-small cell lung cancer (NSCLC). The effect of PD-L1 expression on clinical outcomes was also investigated in advanced EGFR-mutant NSCLC treated with EGFR-tyrosine kinase inhibitors (TKIs).

Methods:

In total, 73 patients with surgically resected NSCLC and EGFR mutations were identified. PD-L1 expression and CD8+ tumor-infiltrating lymphocyte (TIL) density were assessed by immunohistochemistry. A literature review of publications that assessed the predictive and prognostic value of PD-L1 expression in advanced EGFR-mutant NSCLC patients treated with EGFR-TKIs was performed.

Results:

Nineteen (26.0%) patients were positive for PD-L1 expression, which was significantly associated with concomitant KRAS mutation (P = 0.020) and marginally associated with higher CD8+ TILs density (P = 0.056). Positive PD-L1 expression was associated with markedly inferior overall survival (OS) in multivariate analysis (P = 0.032). The combination of PD-L1 and CD8+ TILs expression could be used to stratify the population into three groups with distinct prognoses. A meta-analysis of six publications showed that positive PD-L1 expression was not associated with OS [hazard ratio (HR) = 0.90; 95% confidence interval (CI), 0.42–1.38] or progression-free survival (HR = 1.03; 95 CI, 0.73–1.33) in advanced EGFR-mutant NSCLC patients receiving EGFR-TKIs.

Conclusions:

PD-L1 expression tended to correlate with CD8+ TIL expression, concomitant KRAS mutation, and poor survival in surgically resected EGFR-mutant NSCLC. PD-L1 expression was neither the predictive nor the prognostic factor in advanced EGFR-mutant NSCLC patients treated with EGFR-TKIs.