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Immunotherapy in Non-Small Cell Lung Cancer: Shifting Prognostic Paradigms.

ABSTRACT: Immune checkpoint inhibitors have shown efficacy in the treatment of non-small cell lung cancer (NSCLC) in the adjuvant, first- and subsequent-line settings. In metastatic disease, they provide hope of durable response where “best-case” scenario has long been inadequate. This progress has highlighted the immunogenic nature of NSCLC and invigorated research into immunotherapy in the field. In this review we consider the foundations of immunotherapy in NSCLC, canvass the current research and summarise the evidence guiding clinical practice.

SUBMITTER: Barnet MB

PROVIDER: S-EPMC6024943 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature

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Immunotherapy in Non-Small Cell Lung Cancer: Shifting Prognostic Paradigms.

Barnet Megan B MB Cooper Wendy A WA Boyer Michael J MJ Kao Steven S

Journal of clinical medicine 20180614 6

Immune checkpoint inhibitors have shown efficacy in the treatment of non-small cell lung cancer (NSCLC) in the adjuvant, first- and subsequent-line settings. In metastatic disease, they provide hope of durable response where “best-case” scenario has long been inadequate. This progress has highlighted the immunogenic nature of NSCLC and invigorated research into immunotherapy in the field. In this review we consider the foundations of immunotherapy in NSCLC, canvass the current resear ...[more]

PMID: 29904031

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Project description:BackgroundNon-small cell lung cancer (NSCLC) was usually associated with poor prognosis and invalid therapeutical response to immunotherapy due to biological heterogeneity. It is urgent to screen reliable biomarkers, especially immunotherapy-associated biomarkers, that can predict outcomes of these patients.MethodsGene expression profiles of 1026 NSCLC patients were collected from The Cancer Genome Atlas (TCGA) datasets with their corresponding clinical and somatic mutation data. Based on immune infiltration scores, molecular clustering classification was performed to identify immune subtypes in NSCLC. After the functional enrichment analysis of subtypes, hub genes were further screened using univariate Cox, Lasso, and multivariate Cox regression analysis, and the risk score was defined to construct the prognostic model. Other microarray data and corresponding clinical information of 603 NSCLC patients from the GEO datasets were applied to conduct random forest models for the prognosis of NSCLC with 100 runs of cross-validation. Finally, external datasets with immunotherapy and chemotherapy were further applied to explore the significance of risk-scores in clinical immunotherapy response for NSCLC patients.ResultsCompared with Subtype-B, the Subtype-A, associated with better outcomes, was characterized by significantly higher stromal and immune scores, T lymphocytes infiltration scores and up-regulation of immunotherapy markers. In addition, we found and validated an eleven -gene signatures for better application of distinguishing high- and low-risk NSCLC patients and predict patients' prognosis and therapeutical response to immunotherapy. Furthermore, combined with other clinical characteristics based on multivariate Cox regression analysis, we successfully constructed and validated a nomogram to effectively predict the survival rate of NSCLC patients. External immunotherapy and chemotherapy cohorts validated the patients with higher risk-scores exhibited significant therapeutic response and clinical benefits.ConclusionThese results demonstrated the immunological and prognostic heterogeneity within NSCLC and provided a new clinical application in predicting the prognosis and benefits of immunotherapy for the disease.

Dataset Information

Immunotherapy in Non-Small Cell Lung Cancer: Shifting Prognostic Paradigms.

Publications

Immunotherapy in Non-Small Cell Lung Cancer: Shifting Prognostic Paradigms.

Similar Datasets

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