Addressing the unmet need in lung cancer: The potential of immuno-oncology

Establishing a prognostic model based on immune-related genes and identification of BIRC5 as a potential biomarker for lung adenocarcinoma patients

BACKGROUND

Lung adenocarcinoma (LUAD) is an extraordinarily malignant tumor, with rapidly increasing morbidity and poor prognosis. Immunotherapy has emerged as a hopeful therapeutic modality for lung adenocarcinoma. Furthermore, a prognostic model (based on immune genes) can fulfill the purpose of early diagnosis and accurate prognostic prediction.

METHODS

Immune-related mRNAs (IRmRNAs) were utilized to construct a prognostic model that sorted patients into high- and low-risk groups. Then, the prediction efficacy of our model was evaluated using a nomogram. The differences in overall survival (OS), the tumor mutation landscape, and the tumor microenvironment were further explored between different risk groups. In addition, the immune genes comprising the prognostic model were subjected to single-cell RNA sequencing to investigate the expression of these immune genes in different cells. Finally, the functions of BIRC5 were validated through in vitro experiments.

RESULTS

Patients in different risk groups exhibited sharply significant variations in OS, pathway activity, immune cell infiltration, mutation patterns, and immune response. Single-cell RNA sequencing revealed that the expression level of BIRC5 was significantly high in T cells. Cell experiments further revealed that BIRC5 knockdown markedly reduced LUAD cell proliferation.

CONCLUSION

This model can function as an instrumental variable in the prognostic, molecular, and therapeutic prediction of LUAD, shedding new light on the optimal clinical practice guidelines for LUAD patients.

Feasibility of semiquantitative 18F-fluorodeoxyglucose PET/computed tomography in patients with advanced lung cancer for interim treatment evaluation of combining immunotherapy and chemotherapy

OBJECTIVE

This study aimed to investigate the prognosis value of 18F-fluorodeoxyglucose PET/computed tomography (18F-FDG PET/CT) in advanced lung cancer patients with immunotherapy combined with chemotherapy.

METHODS

Fifty-one advanced lung cancer patients were included in this retrospective study, who underwent 18F-FDG PET/CT imaging before four cycles of immunotherapy combined with chemotherapy at our institution between January 2018 and January 2020. The following PET/CT parameters were calculated: standardized uptake value SUVmax, SUVmean, SUVpeak, SUVsd, metabolic tumor volume (MTV), total lesion glycolysis (TLG), MTV25%, MTV42%, MTV50%, MTV75%, global lung glycolysis (GLG), target-to-background ratio (TBR), SUVpeakwb, MTVwb, TLGwb, SUVmeanwb, SUVmaxwb. Logistics regression analyses were used for assessing the association between baseline metabolic parameters and response to treatment. Kaplan-Meier estimator curves and the log-rank test were constructed for survival analyses.

RESULTS

According to RECIST, nine patients (18%) showed partial response, 25 (49%) had SD, and 17 (33%) had progressive disease. The mean ± SD of SUVmax, SUVpeak, MTV were lower in clinical benefit (CB) group than no-clinical benefit (no-CB) group (all P < 0.05). Median PFS was 3.7 months in no-CB group and 9.9 months in CB group (P < 0.001). Multivariate logistic analysis indicated that SUVmax and histology were independent factors significantly related to the evaluation of therapeutic efficiency. Furthermore, SUVmax is an independent predictor of efficacy in non-small cell lung cancer.

CONCLUSION

SUVmax can be used to predict interim treatment response of immunotherapy combination with chemotherapy for advanced lung cancer. Moreover, the combination of SUVmax and histology may predict treatment response with acceptable reliability. However, a large prospective multicenter trial is still needed to examine the above finding for lacking limited evidence.

Blood Immune Cell Biomarkers in Patient With Lung Cancer Undergoing Treatment With Checkpoint Blockade

Supplemental Digital Content is available in the text.

Characterization of host immune cell parameters before and during immunotherapy is expected to identify predictive biomarkers for clinical outcome. We prospectively monitored blood immune cells from 35 patients with advanced non–small cell lung cancer undergoing checkpoint inhibitor monotherapy. The aim was to identify parameters correlating with better/worse outcome. Peripheral blood was serially collected before each infusion at the onset and at cycle 3 and 5 of immunotherapy. A complete leukocyte blood count, the lymphocytic subpopulations and the percentages of both HLA-DR^low monocytes and dendritic cells (DC) were monitored. Disease control was defined as partial/complete response and stable disease on computed tomography scan according to RECIST 1.1. The predictive value of the immune cell parameters investigated was evaluated by patients’ survival analysis. Forty percent of patients showed a clinical response, and the global median overall survival was 7.0 months (95% confidence interval: 3.5–10.5). Patients with an initial neutrophil-to-lymphocyte ratio (NLR) ≥5.2, and/or an amount of HLA-DR^low monocytes ≥11% and/or a total DC level ≤0.4% of leukocytes did rarely respond to PD-1 inhibitor therapy. Otherwise, the immunotherapy-induced decrease of the neutrophil-to-lymphocyte ratio and/or HLA-DR^low monocytes and the increase of total DC frequencies were correlated with improved therapy response and prolonged overall survival. Blood values in the third cycle of immunotherapy did already reflect the effects observed. On the basis of the 3 immune cell parameters identified we created 3 different variants of scores that enable to stratify patients into groups of risk/therapy response. Our results warrant further investigation in larger prospective clinical trials for validation.

B cells in lung cancer-not just a bystander cell: a literature review

Metastatic lung cancer represents a significant global issue where it is responsible for the most cancer diagnoses and deaths worldwide. Treatment for advanced lung cancer has undergone a series of paradigm shifts from chemotherapy to targeted molecular agents to the most recent immunotherapy strategies. The most successful of the latter involves antibodies that block inhibitory receptors on tumor infiltrating T cells, thereby enhancing T cell activity against tumor cells. However, only a subset of patients demonstrate durable responses to these drugs and treatment resistance is common. Emerging evidence suggests that a critical role exists for B cells as more than a bystander immune cell in the tumor microenvironment (TME). However, this role is likely context-specific where B cells comprise distinct subtypes with unique effector functions that may result in anti- or pro-tumor effects. As such, the balance between various B cell subtypes affects the net B cell impact upon tumor immunity. To date, the factors needed to polarize B cell function toward anti-tumor activity are unclear. Understanding B cell biology in the lung cancer setting will help redefine and refine treatment strategies to augment anti-tumor immunity. This article presents a review of the literature describing the current knowledge of the development and function of B cells, and explores their role in lung cancer and potential as an immunotherapeutic strategy and as a predictive marker for response to immune checkpoint blockade.

The Relationship Between Tumor-Infiltrating Lymphocytes, PD-L1 Expression, Driver Mutations and Clinical Outcome Parameters in Non-Small Cell Lung Cancer Adenocarcinoma in Patients with a Limited to no Smoking History

Tumor infiltrating lymphocytes (TIL), programmed death 1 (PD-1) and programmed death-ligand 1 (PD-L1) expression are important prognostic markers. This study aimed to investigate these markers in lung adenocarcinoma (ADC) biopsies from patients with stage IIIB or IV ADC with little or no smoking history, to investigate their prognostic value and to correlate these results with the presence of driver mutations in the tumors. TIL were retrospectively evaluated on hematoxylin and eosin stained slides from 152 tumor samples. PD-1/PD-L1 expression was retrospectively evaluated with PD-1/PD-L1 immunohistochemistry (IHC) double staining on 74 tumor samples with sufficient residual tissue. PD-L1 expression was analysed on stromal cells of the tumor compartment, the tumor cells and TIL and PD-1 on TIL. Median overall survival (OS) was longer in patients with high stromal TIL infiltration compared to patients with low stromal TIL infiltration (68 weeks vs. 35 weeks respectively; p = 0.003). This was observed most prominently in KRAS mutant tumors (95 weeks vs. 12 weeks; p = 0.003). Only PD-L1 expression on tumor stromal cells influenced OS and indicated a worse prognosis (77 weeks vs 25 weeks; p = 0.013). Stromal TIL counts nor PD-1/PD-L1 expression levels were associated with the presence of driver mutations. The results of the current study reinforce the prognostic role of TIL in lung ADC, which is most prominent in KRAS mutant cancers. The results of the PD-1/PD-L1 analysis suggest that stromal cells can effectively suppress the anti-tumor immune response via the PD-L1 pathway.

18F-FDG PET metabolic-to-morphological volume ratio predicts PD-L1 tumour expression and response to PD-1 blockade in non-small-cell lung cancer

PURPOSE

Anti-PD-1/PD-L1 blockade can restore tumour-specific T-cell immunity and is an emerging therapy in non-small-cell lung cancer (NSCLC). We investigated the correlation between ¹⁸F-FDG PET/CT-based markers and tumour tissue expression of PD-L1, necrosis and clinical outcome in patients receiving checkpoint inhibitor treatment.

METHODS

PD-Li expression in biopsy or resection specimens from 49 patients with confirmed NSCLC was investigated by immunohistochemistry. Maximum standardized uptake value (SUVmax), mean SUV (SUVmean), metabolic tumour volume (MTV) and total lesion glycolysis (TLG) were obtained from ¹⁸F-FDG PET/CT images. The ratio of metabolic to morphological lesion volumes (MMVR) and its association with PD-L1 expression in each lesion were calculated. The associations between histologically reported necrosis and ¹⁸F-FDG PET imaging patterns and radiological outcome (evaluated by iRECIST) following anti-PD-1/PD-L1 therapy were also analysed. In 14 patients, the association between necrosis and MMVR and tumour immune contexture were analysed by multiple immunofluorescent (IF) staining for CD8, PD-1, granzyme B (GrzB) and NFATC2.

RESULTS

In total, 25 adenocarcinomas and 24 squamous cell carcinomas were analysed. All tumours showed metabolic ¹⁸F-FDG PET uptake. MMVR was correlated inversely with PD-L1 expression in tumour cells. Furthermore, PD-L1 expression and low MMVR were significantly correlated with clinical benefit. Necrosis was correlated negatively with MMVR. Multiplex IF staining showed a greater frequency of activated CD8⁺ cells in necrotic tumours than in nonnecrotic tumours in both stromal and epithelial tumour compartments.

CONCLUSION

This study introduces MMVR as a new imaging biomarker and its ability to noninvasively capture increased PD-L1 tumour expression and predict clinical benefit from checkpoint blockade in NSCLC should be further evaluated.

Prevalence and risk factors associated with the comprehensive needs of cancer patients in China

Background

The incidence and mortality rates of cancer have been increasing in developing countries, particularly in Asia. Therefore to provide optimal comprehensive care to the cancer patients, the care plan must focus on the comprehensive needs of cancer patients. The purpose of this study was to investigate the comprehensive needs of cancer patients, and explore the associated factors.

Methods

In a cross-sectional questionnaire study, a total of 200 cancer patient-caregiver dyads were selected and interviewed in Mainland China by convenient sampling method. Patients’ comprehensive needs were assessed with Comprehensive Needs Assessment Tool in cancer for Patients (CNAT), including seven domains (Information, Psychological Problems, Health Care Staffs, Physical Symptoms, Hospital Facilities and Services, Social/Religious/Spiritual Support and Practical Support). Both cancer patients and caregivers completed the sociodemographic survey. The mean differences in domain scores for different characteristics groups were compared by one-way ANOVA or non-parametric analyses, and influencing factors defined with multivariate regression analysis.

Results

The cancer patients’ need for Health Care Staffs (78.35 ± 13.08) was the highest among the seven domains, followed by the need for Information (71.18 ± 17.39) and the need for Hospital Facilities and Services (52.65 ± 13.35). The lowest score was the need for Physical Symptoms (35.12 ± 16.68). Patients who were female, with low family monthly income, at their own expense, and with highly educated caregivers had higher score of CNAT. Also sociodemographic characteristics were associated with each domain need of cancer patients.

Conclusion

This study shows that cancer patients experience high levels of needs for health-care staff and information, and the different needs are closely related to their sociological characteristics. The provision of health care can be adapted to meet the different needs of cancer patients of different epidemiological characteristics at different times during the course of treatment.

Increased 6-phosphofructo-2-kinase/fructose-2,6-bisphosphatase-3 activity in response to EGFR signaling contributes to non-small cell lung cancer cell survival

Constitutive activation of the epidermal growth factor receptor (EGFR) because of somatic mutations of the EGFR gene is commonly observed in tumors of non-small cell lung cancer (NSCLC) patients. Consequently, tyrosine kinase inhibitors (TKI) targeting the EGFR are among the most effective therapies for patients with sensitizing EGFR mutations. Clinical responses to the EGFR-targeting TKIs are evaluated through 2-[¹⁸F]fluoro-2-deoxy-glucose (¹⁸FDG)-PET uptake, which is decreased in patients responding favorably to therapy and is positively correlated with survival. Recent studies have reported that EGFR signaling drives glucose metabolism in NSCLC cells; however, the precise downstream effectors required for this EGFR-driven metabolic effect are largely unknown. 6-Phosphofructo-2-kinase/fructose-2,6-bisphosphatase (PFKFB3) is an essential glycolytic regulator that is consistently overexpressed in lung cancer. Here, we found that PFKFB3 is an essential target of EGFR signaling and that PFKFB3 activation is required for glycolysis stimulation upon EGFR activation. We demonstrate that exposing NSCLC cells harboring either WT or mutated EGFR to EGF rapidly increases PFKFB3 phosphorylation, expression, and activity and that PFKFB3 inhibition markedly reduces the EGF-mediated increase in glycolysis. Furthermore, we found that prolonged NSCLC cell exposure to the TKI erlotinib drives PFKFB3 expression and that chemical PFKFB3 inhibition synergizes with erlotinib in increasing erlotinib's anti-proliferative activity in NSCLC cells. We conclude that PFKFB3 has a key role in mediating glucose metabolism and survival of NSCLC cells in response to EGFR signaling. These results support the potential clinical utility of using PFKFB3 inhibitors in combination with EGFR-TKIs to manage NSCLC.

Multiplexed Immunohistochemistry for Molecular and Immune Profiling in Lung Cancer-Just About Ready for Prime-Time?

As targeted molecular therapies and immuno-oncology have become pivotal in the management of patients with lung cancer, the essential requirement for high throughput analyses and clinical validation of biomarkers has become even more intense, with response rates maintained in the 20%–30% range. Moreover, the list of treatment alternatives, including combination therapies, is rapidly evolving. The molecular profiling and specific tumor-associated immune contexture may be predictive of response or resistance to these therapeutic strategies. Multiplexed immunohistochemistry is an effective and proficient approach to simultaneously identify specific proteins or molecular abnormalities, to determine the spatial distribution and activation state of immune cells, as well as the presence of immunoactive molecular expression. This method is highly advantageous for investigating immune evasion mechanisms and discovering potential biomarkers to assess mechanisms of action and to predict response to a given treatment. This review provides views on the current technological status and evidence for clinical applications of multiplexing and how it could be applied to optimize clinical management of patients with lung cancer.

Blood immune cell biomarkers in lung cancer

Characterization of host immune cell parameters prior to treatment is expected to identify biomarkers predictive of clinical outcome as well as to elucidate why some patients fail to respond to immunotherapy. We monitored blood immune cells from 58 patients with non-small- cell lung cancer (NSCLC) undergoing surgery of the primary tumor and from 50 age-matched healthy volunteers. Complete leukocyte blood count, the number of circulating dendritic cells (DC), HLA-DR^low monocytes and several lymphocytic subpopulations were determined by eight-color flow cytometry. Furthermore, the prognostic value of the immune cell parameters investigated was evaluated by patients' survival analysis. Compared to the control group, blood of NSCLC patients contained more neutrophils resulting in a higher neutrophil-to-lymphocyte ratio (NLR), but a lower number of blood DC, in particular of plasmacytoid DC (pDC), natural killer (NK) cells and naive CD4⁺ and CD8⁺ T cells. Furthermore, a higher frequency of CD4⁺ regulatory T cells (Treg) and HLA-DR^low monocytes was detected, and smoking had a significant impact on these values. HLA-DR^low monocytes were positively correlated to the number of neutrophils, monocytes and NLR, but negatively associated with the number of pDC and naive CD4⁺ T cells. The frequency of Treg, HLA-DR^low monocytes and naive CD4⁺ and CD8⁺ T cells as well as the ratios of CD4/HLA-DR^low monocytes and HLA-DR^low monocytes/pDC correlated with patient's overall survival. Next to Treg, HLA-DR^low monocytes and naive T cells represent prognostic markers for NSCLC patients and might be useful for monitoring of patients' responses to immunotherapies in future studies.

Correlation Between Programmed Death Receptor-1 Expression in Tumor-Infiltrating Lymphocytes and Programmed Death Ligand-1 Expression in Non-Small Cell Lung Carcinoma

CONTEXT.—

The interaction between programmed death ligand-1 (PD-L1) and programmed death receptor-1 (PD-1) on activated T cells sends an inhibitory signal that dampens the immune response. Tumors can express PD-L1 and evade the immune system. In advanced non-small cell lung carcinoma, expression of PD-1 in tumor-infiltrating lymphocytes (TILs) correlates with PD-L1 expression in tumor cells (TCs). However, this relationship has not been thoroughly explored in early disease.

OBJECTIVE.—

To investigate the correlation of PD-1 and PD-L1 in non-small cell lung carcinoma tumor samples, with emphasis on stage I disease.

DESIGN.—

Whole tissue sections from non-small cell lung carcinoma tumors were retrospectively evaluated by immunohistochemistry for PD-1 and PD-L1 expression. The scoring was based on the percentage of cells positive for PD-1 in TILs and PD-L1 in TCs and tumor-infiltrating immune cells (ICs).

RESULTS.—

Expression of PD-1 in TILs was observed in 147 of 161 non-small cell lung carcinoma cases (91%). The majority of cases negative for PD-1 also lacked PD-L1 in TCs. The 68 cases with highest PD-1 expression in TILs included 33 (49%) with expression of PD-L1 in TCs and ICs. Strong correlations were observed in patients with elevated PD-1 expression in TILs and PD-L1 in TCs ( P = .01) and ICs ( P = .003). Expression of PD-1 also correlated with increased PD-L1 in TCs and ICs when the 2 were grouped together ( P < .001). Finally, stage I patients with negative PD-1 and PD-L1 expression showed trends toward increased disease-specific survival.

CONCLUSIONS.—

Expression of PD-1 in TILs correlates with PD-L1 expression in both TCs and ICs. Furthermore, negative expression of PD-1 and PD-L1 suggest trends toward disease-specific survival, even in early disease stages.

Expression of PD-1/PD-L1 and PD-L2 in peripheral T-cells from non-small cell lung cancer patients

Binding of programmed death-1 (PD-1) with its ligands (PD-L1/2) transmits a co-inhibitory signal in activated T-cells that promotes T-cell exhaustion, leading to tumor immune evasion. The efficacy of antibodies targeting PD-1 and PD-L1 has led to a paradigm shift in lung cancer treatment but the prognostic and predictive value of tumor PD-L1 expression remains controversial. Evaluating PD-1, PD-L1/2 expression in peripheral blood cells may serve as a potential biomarker for prognosis and response to therapy. In this prospective observational study, plasma cytokine levels and PD-1, PD-L1 and PD-L2 expression was evaluated in circulating CD3⁺, CD3⁺CD4⁺ and CD3⁺CD8⁺ cells from 70 treatment-naïve patients with advanced NSCLC (Stage IIIB and IV) and from 10 healthy donors. The primary objective was to assess OS according to PD-1, PD-L1, PD-L2 expression status on PBMCs and lymphocyte subsets. Our results indicate that the percentage of PD-L1⁺CD3⁺, PD-L1⁺CD3⁺CD8⁺ PD-L2⁺PBMCs, PD-L2⁺CD3⁺, PD-L2⁺CD3⁺CD4⁺ cells was higher in patients than in healthy donors. Survival was decreased among patients with a high percentage of either PD-1⁺PBMCs, PD-1⁺CD3⁺, PD-L1⁺CD3⁺, PD-L1⁺CD3⁺CD8⁺, PD-L2⁺CD3⁺, PD-L2⁺CD3⁺CD4⁺, or PD-L2⁺CD3⁺CD8⁺ cells. IL-2 and TNF-α showed the strongest association with PD-L1 and PD-L2 expression on specific subsets of T-lymphocytes. Our findings suggest that increased PD-1/PD-L1/PDL-2 expression in PBMCs, particularly in T-cells, may be an additional mechanism leading to tumor escape from immune control. This study is registered with ClinicalTrials.gov, number NCT02758314.

Low alanine transaminase is not associated with increased rate of mortality in patients with advanced lung cancer

Background: Low alanine transaminase (ALT) has been shown to serve as a marker for sarcopenia and frailty in both healthy populations and in patients with chronic illness. Its yield in cancer patients in general and in particular in lung-cancer patients was not assessed. Methods: Lung cancer patients presenting to an outpatient thoracic oncology clinic in a tertiary hospital were included. ALT plasma levels as well as other potential prognostic factors were collected retrospectively. Associations of those factors with survival were examined by univariate and multivariate analyses. Results: 203 patients were eligible for analysis, of which 149 (73.4%) were diagnosed to have advanced disease. During median follow-up period of 15.4 months, 79 (38.9%) died. The mean ALT level of activity was 17.53±7.8 IU/L. The following parameters were found to be associated with increased risk of mortality: histologic type, male gender, advanced disease and low performance status upon diagnosis. Low ALT levels were not found to be associated with increased risk of mortality. Conclusion: Low ALT activity levels, associated with sarcopenia, frailty and shortened survival in other patients' populations might not be predictive for shortened survival in lung cancer patients.  

Intra- and Interobserver Reproducibility Assessment of PD-L1 Biomarker in Non-Small Cell Lung Cancer

Purpose: Reliable and reproducible methods for identifying PD-L1 expression on tumor cells are necessary to identify responders to anti-PD-1 therapy. We tested the reproducibility of the assessment of PD-L1 expression in non-small cell lung cancer (NSCLC) tissue samples by pathologists.Experimental Design: NSCLC samples were stained with PD-L1 22C3 pharmDx kit using the Dako Autostainer Link 48 Platform. Two sample sets of 60 samples each were designed to assess inter- and intraobserver reproducibility considering two cut points for positivity: 1% or 50% of PD-L1 stained tumor cells. A randomization process was used to obtain equal distribution of PD-L1 positive and negative samples within each sample set. Ten pathologists were randomly assigned to two subgroups. Subgroup 1 analyzed all samples on two consecutive days. Subgroup 2 performed the same assessments, except they received a 1-hour training session prior to the second assessment.Results: For intraobserver reproducibility, the overall percent agreement (OPA) was 89.7% [95% confidence interval (CI), 85.7-92.6] for the 1% cut point and 91.3% (95% CI, 87.6-94.0) for the 50% cut point. For interobserver reproducibility, OPA was 84.2% (95% CI, 82.8-85.5) for the 1% cut point and 81.9% (95% CI, 80.4-83.3) for the 50% cut point, and Cohen's κ coefficients were 0.68 (95% CI, 0.65-0.71) and 0.58 (95% CI, 0.55-0.62), respectively. The training was found to have no or very little impact on intra- or interobserver reproducibility.Conclusions: Pathologists reported good reproducibility at both 1% and 50% cut points. More adapted training could potentially increase reliability, in particular for samples with PD-L1 proportion, scores around 50%. Clin Cancer Res; 23(16); 4569-77. ©2017 AACR.

Second-Line Treatment of Non-Small Cell Lung Cancer: Clinical, Pathological, and Molecular Aspects of Nintedanib

Lung carcinoma is the leading cause of death by cancer in the world. Nowadays, most patients will experience disease progression during or after first-line chemotherapy demonstrating the need for new, effective second-line treatments. The only approved second-line therapies for patients without targetable oncogenic drivers are docetaxel, gemcitabine, pemetrexed, and erlotinib and for patients with target-specific oncogenes afatinib, osimertinib, crizotinib, alectinib, and ceritinib. In recent years, evidence on the role of antiangiogenic agents have been established as important and effective therapeutic targets in non-small cell lung cancer (NSCLC). Nintedanib is a tyrosine kinase inhibitor targeting three angiogenesis-related transmembrane receptors (vascular endothelial growth factor, fibroblast growth factor, and platelet-derived growth factor). Several preclinical and clinical studies have proven the usefulness of nintedanib as an anticancer agent for NSCLC. The most important study was the phase III LUME-Lung 1 trial, which investigated the combination of nintedanib with docetaxel for second-line treatment in advanced NSCLC patients. The significant improvement in overall survival and the manageable safety profile led to the approval of this new treatment in Europe. This review focuses on the preclinical and clinical studies with nintedanib in NSCLC.

Association between PD-L1 expression and driven gene status in NSCLC: A meta-analysis

PURPOSE

We explored the potential clinical association between programmed death-ligand 1 (PD-L1) expression and driven gene status in non-small cell lung cancer (NSCLC).

METHODS

We systemically searched through October 2015. Odd ratios (ORs) with 95% CIs were calculated to examine the association of PD-L1 expression with driven gene status. A random- or fixed-effects model was used.

RESULTS

Nine studies were identified. KRAS-mutant tumors were more likely to be PD-L1 positive than KRAS-wild type tumors (51% vs 36%; OR 1.69; 95% CI 1.01-2.84; p = 0.045). In contrast, PD-L1 expression did not differ by EGFR (OR 0.86; 95% CI 0.43-1.73; p = 0.675) or ALK (OR 1.02; 95% CI 0.44-2.37; p = 0.954) status. In subgroup analysis, there was also no significant association between PD-L1 expression and EGFR status in term of the cut-offs or ethnicity.

CONCLUSION

In conclusion, NSCLC with KRAS mutations showed a trend for higher frequency of positive PD-L1 expression.

Immune Checkpoint Therapy in Non-Small Cell Lung Cancer

Lung cancer remains the number one cause of cancer death in the United States. Even with advances in understanding of tumor histology and mutation status, outcomes remain poor with classic cytotoxic therapies. The development of immune checkpoint inhibitors, designed to optimize a host's own immune response against cancer cells, has led to a new era in the treatment of non-small cell lung cancer (NSCLC). Improved survival in trials have led to rapid US Food and Drug Administration approval for these agents in the advanced-stage NSCLC setting. Many studies are looking at these agents across a variety of patient populations, treatment settings, and in combination with other agents. Because of their unique mechanism of action, tumor response kinetics and patient adverse effect profiles vary greatly from cytotoxic chemotherapy and demand further study. Understanding the optimal use of these agents continues to be elucidated as they shift the NSCLC treatment paradigm.

Clinical Trials Integrating Immunotherapy and Radiation for Non-Small-Cell Lung Cancer

Methods of harnessing the immune system to treat cancer have been investigated for decades, but yielded little clinical progress. However, in recent years, novel drugs that allow immune recognition and destruction of tumor cells are emerging as potent cancer therapies. Building upon previous immunotherapy strategies that included therapeutic vaccines, recombinant cytokines, and other immunostimulatory agents, newer immunotherapy agents targeting immune checkpoints including programmed cell death 1, programmed cell death ligand-1, and cytotoxic T-lymphocyte-associated protein 4, among others, have garnered substantial enthusiasm after demonstrating clinical activity in a broad spectrum of tumor types. Trials evaluating immune checkpoint inhibitors in metastatic non-small-cell lung cancer (NSCLC) demonstrate robust and durable responses in a subset of patients. However, with overall response rates less than 20%, combinatorial strategies that extend the benefit of these agents to more patients are desirable. The integration of radiotherapy with immunotherapy is a conceptually promising strategy, as radiotherapy has potent immunomodulatory effects and may contribute not only to local control but may also augment systemic antitumor immune response. Preclinical data and case reports suggest the potential for robust clinical responses in metastatic NSCLC patients using this strategy, but prospective clinical trials evaluating the integration of radiation and immunotherapy are limited. The use of immunotherapy in nonmetastatic settings is also intriguing but understudied. We review the potential clinical settings of interest for the partnering of immunotherapy and radiation in NSCLC, including early stage, locally advanced, and metastatic disease, and review completed, accruing, and developing clinical trials.

Immunotherapy Comes of Age in Lung Cancer

Lung carcinoma is the leading cause of death by cancer worldwide. When possible, surgery is the best treatment strategy for patients with non-small-cell lung cancer. However, even with curative-intent therapy, most patients will develop local or systemic recurrence and, ultimately, succumb to their disease. In recent years, evidence on the role of the antitumor activity of the immune system and the understanding of tumor immunosurveillance have resulted in the emergence of immunotherapy as a promising therapeutic approach in lung cancer. The main approaches are immune checkpoint inhibition, such as blockade of the cytotoxic T-lymphocyte antigen-4 and programmed cell death-1 receptors and the programmed cell death-1 ligand, and vaccine therapy, which elicits specific antitumor immunity against relevant tumor-associated antigens. We have reviewed recently reported results from clinical trials and the possible future role of vaccine therapy and immune checkpoint inhibition in the treatment of small cell lung cancer and non-small-cell lung cancer.