Back to Search Start Over

The Human Tumor Atlas Network (HTAN) Breast Precancer Atlas: A Multi-Omic Integrative Analysis of Ductal Carcinoma in situ With Clinical Outcomes

Authors :
Siri H Strand
Daisy Yi Ding
Gaorav P. Gupta
Belén Rivero-Gutiérrez
Bryan Harmon
Allison Hall
Kristalyn K. Gallagher
Kornelia Polyak
Lauren Anderson
Gabrielle B. Rocque
Robyn Burns
Jose A. Seoane
Lunden A Simpson
Katherine DeSchryver
Luis Cisneros
Tari King
Shu Jiang
Deborah J. Veis
Julie R. Nangia
Robert Tibshirani
Jeffrey R. Marks
Alastair M. Thompson
Robert B. West
Chunfang Zhu
Jason K. Wang
Ana Maria Storniolo
Priscilla F. McAuliffe
Jingqin Luo
Jennifer F. Tseng
Graham A. Colditz
E. Shelley Hwang
Cody Straub
Joanna Lee
Sujay Vennam
Dadong Zhang
Shirley Zhu
Lorraine M. King
Sushama Varma
Mark R. Kilgore
Timothy Hardman
Jen Tappenden
Angela DeMichele
Christina Curtis
Kouros Owzar
Robert M. Angelo
Magdalena Matusiak
Carlo C. Maley
Sucheta Srivastava
Kathleen E. Houlahan
Fergus J. Couch
Tyler Risom
Aziz Kahn
Source :
SSRN Electronic Journal.
Publication Year :
2021
Publisher :
Elsevier BV, 2021.

Abstract

Ductal carcinoma in situ (DCIS) is the most commonly diagnosed precursor of invasive breast cancer (IBC), with variable propensity for progression. We have performed the first multiscale, integrated profiling of DCIS with clinical outcomes to identify predictors of subsequent ipsilateral breast events. We analyzed 677 DCIS samples from 481 patients with 7.1 years median follow-up from two independent cohorts. We made observations on DNA, RNA, and protein expression, and generated a de novo clustering scheme for DCIS that represents the fundamental transcriptomic organization at this early stage of breast neoplasia. Distinct DCIS stromal expression patterns and immune cell compositions were identified. We also found RNA expression patterns that correlate with later events in both cohorts. Our multiscale approach employed in situ methods to generate a spatially resolved atlas of breast precancers, where complementary modalities can be directly compared and correlated with conventional pathology findings, disease states, and clinical outcome.

Details

ISSN :
15565068
Database :
OpenAIRE
Journal :
SSRN Electronic Journal
Accession number :
edsair.doi...........cf1a5d92c31e4996210d19fb6ee4d424
Full Text :
https://doi.org/10.2139/ssrn.3874170