Emerging Biomarkers for Immune Checkpoint Inhibitors in Tumors

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Pathology and Molecular Diagnostics".

Deadline for manuscript submissions: closed (20 May 2023) | Viewed by 2452

Special Issue Editors


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Guest Editor
Department of Pathology, School of Medicine, Wuhan University, Wuhan 430071, China
Interests: cancer immunity and immunotherapy resistance mechanism; autophagy, energy metabolism and carcinogenesis

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Co-Guest Editor
Department of Surgery, Division of General Thoracic Surgery, Teikyo University School of Medicine, Tokyo 173-8605, Japan
Interests: tumor diagnostics and therapeutics; cancer immunity
Department Oncology, Renmin Hospital, Wuhan University, Wuhan 430071, China
Interests: cancer immunity; immunotherapy; lung cancer

Special Issue Information

Dear Colleagues, 

Immune checkpoint inhibitors (ICIs) have recently taken off as promising immuno-therapeutic methods that have slowed down the progress of various cancers and equipped patients with survival advantages. However, the long-term respondents tally is less than 20% of the population. This low response rate warrants the need for biomarkers which can dynamically provide insight into the possible response of patients to ICIs. Biomarkers are biological molecules that predict the pathological state of patients and the potential response they will elicit to ICIs. Predictive biomarkers play a crucial role in analyzing the effects of ICI therapy on patients and potentially filtering out patients who will certainly benefit from ICIs. In this way, resources in immunotherapy can be rationalized better and the healthcare system can administer an alternative mode of treatment to the non-responsive group of patients. Herein, precision therapy can be performed according to the possible responsiveness and needs of patients. Potential biomarkers for cancer immunotherapy, such as PD-1/PD-L1, total mutation burden (TMB), and tumor-infiltrating lymphocytes (TILs), etc., may be used to assist future application of immunotherapy and patient selection in clinical practice.

The aim of this Special Issue is to look into the emerging biomarkers for immune checkpoint inhibitors in tumors. We welcome both original research articles and reviews.

Dr. Honglei Chen
Dr. Hitoshi Dejima
Dr. Min Peng
Guest Editors

Manuscript Submission Information

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Keywords

  • biomarkers
  • immune checkpoint
  • immune checkpoint inhibitors
  • immunotherapy
  • total mutation burden
  • PD-1/PD-L1
  • precision therapy

Published Papers (1 paper)

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Research

11 pages, 2719 KiB  
Article
PD-L1 Tumor Expression as a Predictive Biomarker of Immune Checkpoint Inhibitors’ Response and Survival in Advanced Melanoma Patients in Brazil
by Bruna Pereira Sorroche, Renan de Jesus Teixeira, Caio Augusto Dantas Pereira, Iara Viana Vidigal Santana, Lazar Vujanovic, Vinicius de Lima Vazquez and Lidia Maria Rebolho Batista Arantes
Diagnostics 2023, 13(6), 1041; https://doi.org/10.3390/diagnostics13061041 - 9 Mar 2023
Cited by 4 | Viewed by 1879
Abstract
Immune checkpoint blockade (ICB) agents are prominent immunotherapies for the treatment of advanced melanoma. However, they fail to promote any durable clinical benefit in a large cohort of patients. This study assessed clinical and molecular predictors of ICB response and survival in advanced [...] Read more.
Immune checkpoint blockade (ICB) agents are prominent immunotherapies for the treatment of advanced melanoma. However, they fail to promote any durable clinical benefit in a large cohort of patients. This study assessed clinical and molecular predictors of ICB response and survival in advanced melanoma. A retrospective analysis was performed on 210 patients treated with PD-1 or CTLA-4 inhibitors at Barretos Cancer Hospital, Brazil. PD-L1 expression was assessed by immunohistochemistry using formalin-fixed paraffin-embedded tumor tissues collected prior to ICB therapy. Patients were divided into responders (complete and partial response and stable disease for more than 6 months) and non-responders (stable disease for less than 6 months and progressive disease). Among them, about 82% underwent anti-PD-1 immunotherapy, and 60.5% progressed after the ICB treatment. Patients that received ICB as first-line therapy showed higher response rates than previously treated patients. Higher response rates were further associated with superficial spreading melanomas and positive PD-L1 expression (>1%). Likewise, PD-L1 positive expression and BRAF V600 mutations were associated with a higher overall survival after ICB therapy. Since ICBs are expensive therapies, evaluation of PD-L1 tumor expression in melanoma patients should be routinely assessed to select patients that are most likely to respond. Full article
(This article belongs to the Special Issue Emerging Biomarkers for Immune Checkpoint Inhibitors in Tumors)
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