Immunotherapy with immune checkpoint inhibitors and predictive biomarkers in malignant mesothelioma: Work still in progress

被引:12
|
作者
Perrino, Matteo [1 ]
De Vincenzo, Fabio [1 ]
Cordua, Nadia [1 ]
Borea, Federica [1 ,2 ]
Aliprandi, Marta [1 ,2 ]
Santoro, Armando [1 ,2 ]
Zucali, Paolo Andrea [1 ,2 ]
机构
[1] Ist Ricovero & Cura Carattere Sci IRCCS Humanitas, Dept Oncol, Milan, Italy
[2] Humanitas Univ, Dept Biomed Sci, Milan, Italy
来源
FRONTIERS IN IMMUNOLOGY | 2023年 / 14卷
关键词
immunotherapy; immune checkpoint inhibitors; biomarkers; predictive of response; malignant mesothelioma; PLEURAL MESOTHELIOMA; OPEN-LABEL; PROGNOSTIC-FACTORS; PLUS IPILIMUMAB; CHECKMATE; 743; SINGLE-ARM; PHASE-III; B-CELLS; SURVIVAL; MULTICENTER;
D O I
10.3389/fimmu.2023.1121557
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
Malignant mesothelioma (MM) is a rare and aggressive neoplasm, usually associated with a poor prognosis (5 years survival rate <10%). For unresectable disease, platinum and pemetrexed chemotherapy has been the only standard of care in first line for more than two decades, while no standard treatments have been approved in subsequent lines. Recently, immunotherapy has revolutionized the therapeutic landscape of MM. In fact, the combination of ipilimumab plus nivolumab has been approved in first line setting. Moreover, immune checkpoint inhibitors (ICIs) showed promising results also in second-third line setting after platinum-based chemotherapy. Unfortunately, approximately 20% of patients are primary refractory to ICIs and there is an urgent need for reliable biomarkers to improve patient's selection. Several biological and molecular features have been studied for this goal. In particular, histological subtype (recognized as prognostic factor for MM and predictive factor for chemotherapy response), programmed death ligand 1 (PD-L1) expression, and tumor mutational burden (widely hypothesized as predictive biomarkers for ICIs in several solid tumors) have been evaluated, but with unconclusive results. On the other hand, the deep analysis of tumor infiltrating microenvironment and the improvement in genomic profiling techniques has led to a better knowledge of several mechanisms underlying the MM biology and a greater or poorer immune activation. Consequentially, several potential biomarkers predictive of response to immunotherapy in patients with MM have been identified, also if all these elements need to be further investigated and prospectively validated.In this paper, the main evidences about clinical efficacy of ICIs in MM and the literature data about the most promising predictive biomarkers to immunotherapy are reviewed.
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页数:15
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