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乳腺癌与多原发性恶性肿瘤的分子特征:无标记定量蛋白质组学的最新应用

Molecular characterization of breast cancer and multiple primary malignancies: the latest application using unmarked quantitative proteomics.

作者信息

Wang Ping, Liang Shuang, Zhang Huiting, Yang Xiaolong, Li Yingjie, Chen Kaige, Wang Jiayang, Shang Jiming, Qin Zhaoyu, Du Wenzhong, Meng Wei

机构信息

Department of Radiology, Harbin Medical University, Harbin Medical University Cancer Hospital, 150 Haping Road, Harbin, Heilongjiang, China.

Department of Radiology, Beijing Jishuitan Hospital, Capital Medical University, Beijing, China.

出版信息

Int J Surg. 2025 Nov 1;111(11):7746-7760. doi: 10.1097/JS9.0000000000002999. Epub 2025 Jul 18.

Abstract

BACKGROUND

Breast cancer remains the most prevalent malignancy among women, and patients presenting with both breast and lung cancer pose significant challenges in clinical diagnosis and treatment. Currently, comprehensive multi-omics analyses for such multiple malignancies are lacking.

METHODS

An integrated multi-omics analysis was performed, incorporating quantitative proteomics and radiomics data from patients with single primary breast cancer as well as those with multiple primary tumors (breast and lung cancer).

RESULTS

Quantitative proteomics analysis revealed four distinct molecular signatures (Types I-IV). Patients with single breast cancer exhibited driving pathways primarily linked to cell proliferation (e.g., HER2), whereas those with multiple breast cancers showed enrichment in ER-related and proliferative pathways. In contrast, patients with multiple lung cancers displayed pathways associated with immune response and immune escape. Additionally, immune subtyping identified three distinct immune landscapes (Types I-III). Radiomic analysis demonstrated strong correlations between these molecular/immune subtypes and imaging findings. Patients with high imaging information scores exhibited pronounced tumor heterogeneity and reduced immune infiltration.

CONCLUSIONS

This study provides new insights into the molecular pathogenesis of multiple primary malignancies, particularly breast and lung cancer.

摘要

背景

乳腺癌仍是女性中最常见的恶性肿瘤,同时患有乳腺癌和肺癌的患者在临床诊断和治疗中面临重大挑战。目前,缺乏针对此类多种恶性肿瘤的全面多组学分析。

方法

进行了一项综合多组学分析,纳入了原发性单乳腺癌患者以及原发性多肿瘤(乳腺癌和肺癌)患者的定量蛋白质组学和放射组学数据。

结果

定量蛋白质组学分析揭示了四种不同的分子特征(I型-IV型)。原发性单乳腺癌患者表现出主要与细胞增殖相关的驱动通路(例如,HER2),而原发性多乳腺癌患者在雌激素受体(ER)相关和增殖通路中表现出富集。相比之下,原发性多肺癌患者表现出与免疫反应和免疫逃逸相关的通路。此外,免疫亚型分析确定了三种不同的免疫格局(I型-III型)。放射组学分析表明这些分子/免疫亚型与影像学表现之间存在强相关性。影像学信息得分高的患者表现出明显的肿瘤异质性和免疫浸润减少。

结论

本研究为原发性多恶性肿瘤,特别是乳腺癌和肺癌的分子发病机制提供了新的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2c4/12626462/18948025755d/js9-111-7746-g001.jpg

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