Literature DB >> 33706022

Stromal FAP is an independent poor prognosis marker in non-small cell lung adenocarcinoma and associated with p53 mutation.

Pablo Moreno-Ruiz1, Sara Corvigno2, Nienke C Te Grootenhuis3, Linnéa La Fleur4, Max Backman4, Carina Strell1, Artur Mezheyeuski2, Gabriele Hoelzlwimmer5, Christian Klein6, Johan Botling4, Patrick Micke4, Arne Östman7.   

Abstract

OBJECTIVES: Fibroblasts regulate tumor growth and immune surveillance. Here, we study FAP, PDGFβR and α-SMA fibroblast markers in a well-annotated clinical cohort of non-small-cell lung cancer (NSCLC) for analyses of associations with immune cell infiltration, mutation status and survival.
MATERIALS AND METHODS: A well-annotated NSCLC cohort was subjected to IHC analyses of stromal expression of FAP, PDGFβR and α-SMA and of stromal CD8 density. Fibroblast markers-related measurements were analyzed with regard to potential associations with CD8 density, cancer genetic driver mutations, survival and PD-L1 expression in the whole NSCLC cohort and in subsets of patients.
RESULTS: High stromal FAP expression was identified as an independent poor prognostic marker in the whole study population (HR 1.481; 95 % CI, 1.012-2.167, p = 0.023) and in the histological subset of adenocarcinoma (HR 1.720; 95 % CI, 1.126-2.627, p = 0.012). Among patients with adenocarcinoma, a particularly strong association of FAP with poor survival was detected in patients with low stromal CD8 infiltration, and in other subpopulations identified by specific clinical characteristics; elderly patients, females, non-smokers and patients with normal ECOG performance status. α-SMA expression was negatively associated with CD8 infiltration in non-smokers, but none of the fibroblast markers expression was associated with CD8 density in the whole study population. Significant associations were detected between presence of p53 mutations and high α-SMA (p = 0.003) and FAP expression (p < 0.001).
CONCLUSION: The study identifies FAP intensity as a candidate independent NSCLC prognostic biomarker. The study also suggests continued analyses of the relationships between genetic driver mutations and the composition of tumor stroma, as well as continued probing of marker-defined fibroblasts as NSCLC subset-specific modifiers of immune surveillance and outcome.
Copyright © 2021 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Biomarkers; CD8; FAP; Fibroblast; Non–small-cell lung cancer; PDGFβR; Stroma; α-SMA

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Year:  2021        PMID: 33706022     DOI: 10.1016/j.lungcan.2021.02.028

Source DB:  PubMed          Journal:  Lung Cancer        ISSN: 0169-5002            Impact factor:   5.705


  6 in total

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Authors:  Aizhong Qu; Jiliang Han; Jianfeng Zhu
Journal:  Am J Transl Res       Date:  2022-07-15       Impact factor: 3.940

2.  Fibroblast activation protein in the tumor microenvironment predicts outcomes of PD-1 blockade therapy in advanced non-small cell lung cancer.

Authors:  Yan Zhao; Yueping Liu; Yunlong Jia; Xiaoxiao Wang; Jiankun He; Shuman Zhen; Jiali Wang; Lihua Liu
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3.  Expression of fibroblast activation protein in lung cancer and its correlation with tumor glucose metabolism and histopathology.

Authors:  Xiaohui Chen; Xinran Liu; Lijuan Wang; Wenlan Zhou; Yin Zhang; Ying Tian; Jianer Tan; Ye Dong; Lilan Fu; Hubing Wu
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Review 4.  Fibroblast activation protein-based theranostics in cancer research: A state-of-the-art review.

Authors:  Liang Zhao; Jianhao Chen; Yizhen Pang; Kaili Fu; Qihang Shang; Hua Wu; Long Sun; Qin Lin; Haojun Chen
Journal:  Theranostics       Date:  2022-01-09       Impact factor: 11.556

5.  Study on the Predictive Value of P53 Protein Expression in Brain Metastasis in NSCLC and the Mechanism of miR-424 Reversing Platinum Resistance in NSCLC.

Authors:  Yan Deng; Zhiwen Duan; Jie Luo; Wen Deng; Rongqing Liao
Journal:  Contrast Media Mol Imaging       Date:  2022-08-08       Impact factor: 3.009

6.  Novel Necroptosis-Related Gene Signature for Predicting Early Diagnosis and Prognosis and Immunotherapy of Gastric Cancer.

Authors:  Xiaozhu Zhou; Baizhuo Zhang; Guoliang Zheng; Zhen Zhang; Jiaoqi Wu; Ke Du; Jing Zhang
Journal:  Cancers (Basel)       Date:  2022-08-11       Impact factor: 6.575

  6 in total

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