figshare
Browse

Data from Multiomics Analysis Reveals Molecular Changes during Early Progression of Precancerous Lesions to Lung Adenocarcinoma in Never-Smokers

Version 2 2025-02-04, 18:20
Version 1 2025-02-01, 19:20
Posted on 2025-02-04 - 18:20
Abstract

Lung cancer is the most common cause of cancer mortality globally, and the prevalence of lung adenocarcinoma, the most common lung cancer subtype, has increased sharply in East Asia. Early diagnosis leads to better survival rates, but this requires an improved understanding of the molecular changes during early tumorigenesis, particularly in nonsmokers. In this study, we performed whole-exome sequencing and RNA sequencing of samples from 94 East Asian patients with precancerous lesions [25 with atypical adenomatous hyperplasia (AAH); 69 with adenocarcinoma in situ (AIS)] and 73 patients with early invasive lesions [minimally invasive adenocarcinoma (MIA)]. Cellular analysis revealed that the activities of endothelial and stromal cells could be used to categorize tumors into molecular subtypes within pathologically defined types of lesions. The subtypes were linked with the radiologically defined type of lesions and corresponded to immune cell infiltration throughout the early progression of lung adenocarcinoma. Spatial transcriptomic analysis revealed the distribution of epithelial cells, endothelial cells, fibroblasts, and plasma cells within MIA samples. Characterization of the molecular lesion subtypes identified positively selected mutational patterns and suggested that angiogenesis in the late-stage AIS type potentially contributes to tissue invasion of the MIA type. This study offers a resource that may help improve early diagnosis and patient prognosis, and the findings suggest possible approaches for early disease interception.

Significance: Integrative analysis of multiomics data revealed coordination between immune and nonimmune cells during early progression of precancerous lesions to lung adenocarcinomas and shed light on the molecular characteristics of clinically defined subtypes.

CITE THIS COLLECTION

DataCite
No result found
or
Select your citation style and then place your mouse over the citation text to select it.

FUNDING

Ministry of Science and Technology (MOST)

SHARE

email

Usage metrics

Cancer Research

AUTHORS (22)

  • Yun-Ching Chen
    Chia-Lang Hsu
    Hui-Min Wang
    Shang-Gin Wu
    Yih-Leong Chang
    Jin-Shing Chen
    Yu-Ching Wu
    Yen-Ting Lin
    Ching-Yao Yang
    Mong-Wei Lin
    Jang-Ming Lee
    Shuenn-Wen Kuo
    Ke-Cheng Chen
    Hsao-Hsun Hsu
    Pei-Ming Huang
    Yen-Lin Huang
    Chong-Jen Yu
    Mehdi Pirooznia
    Bevan E. Huang
    Rob Yang
need help?