Vascular invasion-associated gene expression is detectable in pre-surgical biopsies of stage I lung adenocarcinoma

D Dylan Steiner L Lila Sultan T Travis Sullivan H Hanqiao Liu X Xiaohui Xiao A Ashley LeClerc S Savannah Melvin Y Yuriy O. Alekseyev (Department of Pathology and Laboratory Medicine, Boston University Chobanian and Avedisian School of Medicine) G Gang Liu S Sarah A. Mazzilli J Jiarui Zhang K Kei Suzuki K Kimberly Rieger-Christ E Eric J. Burks J Jennifer Beane M Marc E. Lenburg

Abstract

Abstract Microscopic vascular invasion (VI) predicts recurrence and benefit from lobectomy in stage I lung adenocarcinoma (LUAD) but cannot be accurately predicted before surgery. Thus, biomarkers that identify this aggressive tumor subset are needed. Here, we show that VI in stage I LUAD is associated with reproducible gene expression programs detectable beyond the invasive focus. Using bulk RNA sequencing of 162 resected tumors and spatial transcriptomics in a subset, we identify and characterize a VI-associated gene signature. A predictor derived from this signature is associated with VI and recurrence in an independent validation cohort and is robust to intra-tumor heterogeneity in multiregional sampling data. In a cohort of pre-surgical biopsies, predictor scores correlate with matched resections and show promising discrimination of VI. These findings indicate that VI-associated transcriptional changes extend across the tumor and are detectable in limited biopsy material, supporting further validation for preoperative risk stratification in stage I LUAD.

Article Details

Volume / Issue Vol. 17, Issue 1
Published March 24, 2026
ISSN 2041-1723
Publisher Nature Portfolio

Journal Info

Nature Communications

Nature Portfolio

ISSN: 2041-1723 Open Access Life Sciences

Authors (16)

D

Dylan Steiner

L

Lila Sultan

T

Travis Sullivan

H

Hanqiao Liu

X

Xiaohui Xiao

A

Ashley LeClerc

S

Savannah Melvin

Y

Yuriy O. Alekseyev

Department of Pathology and Laboratory Medicine, Boston University Chobanian and Avedisian School of Medicine

G

Gang Liu

S

Sarah A. Mazzilli

J

Jiarui Zhang

K

Kei Suzuki

K

Kimberly Rieger-Christ

E

Eric J. Burks

J

Jennifer Beane

M

Marc E. Lenburg