Clinical and molecular characteristics of estrogen receptor-positive ultralow risk breast cancer tumors identified by the 70-gene signature.


Journal

International journal of cancer
ISSN: 1097-0215
Titre abrégé: Int J Cancer
Pays: United States
ID NLM: 0042124

Informations de publication

Date de publication:
15 06 2022
Historique:
revised: 14 01 2022
received: 07 10 2021
accepted: 20 01 2022
pubmed: 19 2 2022
medline: 20 4 2022
entrez: 18 2 2022
Statut: ppublish

Résumé

The metastatic potential of estrogen receptor (ER)-positive breast cancers is heterogeneous and distant recurrences occur months to decades after primary diagnosis. We have previously shown that patients with tumors classified as ultralow risk by the 70-gene signature have a minimal long-term risk of fatal breast cancer. Here, we evaluate the previously unexplored underlying clinical and molecular characteristics of ultralow risk tumors in 538 ER-positive patients from the Stockholm tamoxifen randomized trial (STO-3). Out of the 98 ultralow risk tumors, 89% were luminal A molecular subtype, whereas 26% of luminal A tumors were of ultralow risk. Compared to other ER-positive tumors, ultralow risk tumors were significantly (Fisher's test, P < .05) more likely to be of smaller tumor size, lower grade, progesterone receptor (PR)-positive, human epidermal growth factor 2 (HER2)-negative and have low Ki-67 levels (proliferation-marker). Moreover, ultralow risk tumors showed significantly lower expression scores of multi-gene modules associated with the AKT/mTOR-pathway, proliferation (AURKA), HER2/ERBB2-signaling, IGF1-pathway, PTEN-loss and immune response (IMMUNE1 and IMMUNE2) and higher expression scores of the PIK3CA-mutation-associated module. Furthermore, 706 genes were significantly (FDR < 0.001) differentially expressed in ultralow risk tumors, including lower expression of genes involved in immune response, PI3K/Akt/mTOR-pathway, histones, cell cycle, DNA repair, apoptosis and higher expression of genes coding for epithelial-to-mesenchymal transition and homeobox proteins, among others. In conclusion, ultralow risk tumors, associated with minimal long-term risk of fatal disease, differ from other ER-positive tumors, including luminal A molecular subtype tumors. Identification of these characteristics is important to improve our prediction of nonfatal vs fatal breast cancer.

Identifiants

pubmed: 35179782
doi: 10.1002/ijc.33969
pmc: PMC9083187
mid: NIHMS1782117
doi:

Substances chimiques

Biomarkers, Tumor 0
Receptors, Estrogen 0
Receptors, Progesterone 0
Receptor, ErbB-2 EC 2.7.10.1
Proto-Oncogene Proteins c-akt EC 2.7.11.1
TOR Serine-Threonine Kinases EC 2.7.11.1

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

2072-2082

Subventions

Organisme : NCI NIH HHS
ID : U01 CA196406
Pays : United States

Informations de copyright

© 2022 The Authors. International Journal of Cancer published by John Wiley & Sons Ltd on behalf of UICC.

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Auteurs

Annelie Johansson (A)

Department of Oncology and Pathology, Karolinska Institutet and University Hospital, Stockholm, Sweden.

Nancy Y Yu (NY)

Department of Biosciences and Nutrition, Karolinska Institutet, Stockholm, Sweden.

Adina Iftimi (A)

Department of Biosciences and Nutrition, Karolinska Institutet, Stockholm, Sweden.

Nicholas P Tobin (NP)

Department of Oncology and Pathology, Karolinska Institutet and University Hospital, Stockholm, Sweden.

Laura van 't Veer (L)

Department of Laboratory Medicine, University of California San Francisco, San Francisco, California, USA.
Department of Pathology, University of California San Francisco, San Francisco, California, USA.

Bo Nordenskjöld (B)

Department of Biomedical and Clinical Sciences and Department of Oncology, Linköping University, Linköping, Sweden.

Christopher C Benz (CC)

Department of Medicine, University of California San Francisco, San Francisco, California, USA.
Buck Institute for Research on Aging, Novato, California, USA.

Tommy Fornander (T)

Department of Oncology and Pathology, Karolinska Institutet and University Hospital, Stockholm, Sweden.

Gizeh Perez-Tenorio (G)

Department of Biomedical and Clinical Sciences and Department of Oncology, Linköping University, Linköping, Sweden.

Olle Stål (O)

Department of Biomedical and Clinical Sciences and Department of Oncology, Linköping University, Linköping, Sweden.

Laura J Esserman (LJ)

Department of Surgery, University of California San Francisco, San Francisco, California, USA.

Christina Yau (C)

Buck Institute for Research on Aging, Novato, California, USA.
Department of Surgery, University of California San Francisco, San Francisco, California, USA.

Linda S Lindström (LS)

Department of Oncology and Pathology, Karolinska Institutet and University Hospital, Stockholm, Sweden.

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Classifications MeSH