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肿瘤微环境中的B细胞浸润与肺腺癌切除术后生存率提高相关。

B-Cell Infiltrate in the Tumor Microenvironment Is Associated With Improved Survival in Resected Lung Adenocarcinoma.

作者信息

Dagogo-Jack Ibiayi, Valiev Ivan, Kotlov Nikita, Belozerova Anna, Lopareva Aleksandra, Butusova Anna, Samarina Naira, Boyko Alexandra, Xiang Zhongmin, Johnson Monique, Degryse Sandrine, Keane Florence K, Sequist Lecia V, Lanuti Michael, Fowler Nathan, Mino-Kenudson Mari, Bagaev Alexander

机构信息

Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts.

Harvard Medical School, Boston, Massachusetts.

出版信息

JTO Clin Res Rep. 2023 May 18;4(7):100527. doi: 10.1016/j.jtocrr.2023.100527. eCollection 2023 Jul.

DOI:10.1016/j.jtocrr.2023.100527
PMID:37521368
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10372172/
Abstract

INTRODUCTION

Relapse is common after resection of lung adenocarcinoma (LUAD). Features of the tumor microenvironment (TME) which influence postsurgical survival outcomes are poorly characterized. Here, we analyzed the TME of more than 1500 LUAD specimens to identify the relationship between B-cell infiltration and prognosis.

METHODS

Whole exome sequencing and bulk RNA sequencing were performed on LUADs and adjacent normal lung tissue. Relapse-free survival and overall survival (OS) were retrospectively correlated with characteristics of the tumor and TME in three data sets.

RESULTS

High B-cell content (defined as >10% B cells) was associated with improved OS in both a The Cancer Genome Atlas-resected LUAD data set ( = 0.01) and a separate institutional stage II LUAD data set ( = 0.04, median not reached versus 89.5 mo). A validation cohort consisting of pooled microarray data representing more than 1400 resected stage I to III LUADs confirmed the association between greater B-cell abundance, specifically higher B-cell expression, and longer postsurgical survival (median OS 90 versus 71 mo, < 0.01). Relapse-free survival was longer for patients with adenocarcinomas with high B-cell content across data sets, but it did not reach statistical significance. Subcategorization of B-cell subsets indicated that high naive B-cell content was most predictive of survival. There was no correlation between programmed death-ligand 1 expression, lymphoid aggregates, or overall immune infiltrate density and survival outcomes across the cohorts.

CONCLUSIONS

The growing adjuvant immunotherapy repertoire has increased the urgency for identifying prognostic and predictive biomarkers. Comprehensive profiling of more than 1500 LUADs suggests that high tumor-infiltrating B-cell content is a favorable prognostic marker.

摘要

引言

肺腺癌(LUAD)切除术后复发很常见。影响术后生存结果的肿瘤微环境(TME)特征目前尚不清楚。在此,我们分析了1500多个LUAD标本的TME,以确定B细胞浸润与预后之间的关系。

方法

对LUAD及其相邻正常肺组织进行全外显子组测序和批量RNA测序。在三个数据集中,对无复发生存期和总生存期(OS)与肿瘤及TME的特征进行回顾性关联分析。

结果

在癌症基因组图谱(TCGA)-切除的LUAD数据集中(P = 0.01)以及一个单独的机构II期LUAD数据集中(P = 0.04,未达到中位数 vs 89.5个月),高B细胞含量(定义为>10% B细胞)均与OS改善相关。一个由代表1400多个切除的I至III期LUAD的合并微阵列数据组成的验证队列证实了更高的B细胞丰度,特别是更高的B细胞表达与更长的术后生存期之间的关联(中位OS 90个月 vs 71个月,P < 0.01)。在各数据集中,B细胞含量高的腺癌患者无复发生存期更长,但未达到统计学意义。B细胞亚群分类表明,高幼稚B细胞含量最能预测生存。各队列中,程序性死亡配体1表达、淋巴样聚集物或总体免疫浸润密度与生存结果之间均无相关性。

结论

不断增加的辅助免疫治疗方法增加了识别预后和预测生物标志物的紧迫性。对1500多个LUAD的综合分析表明,高肿瘤浸润性B细胞含量是一个良好的预后标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7098/10372172/86aa9406a05e/figs5.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7098/10372172/39c8c3a57093/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7098/10372172/a21cdaf706d4/figs1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7098/10372172/bae0d19b2aa7/figs2.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7098/10372172/602365072bbb/figs4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7098/10372172/86aa9406a05e/figs5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7098/10372172/505d33915feb/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7098/10372172/6ada8bc52109/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7098/10372172/bf3faf862792/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7098/10372172/bca965ecb8af/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7098/10372172/08f290a8063d/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7098/10372172/39c8c3a57093/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7098/10372172/a21cdaf706d4/figs1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7098/10372172/bae0d19b2aa7/figs2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7098/10372172/9f6938276435/figs3.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7098/10372172/86aa9406a05e/figs5.jpg

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