Distinct and convergent effects of <i>SF3B1</i> mutations in human breast cancer

R Riley E. Bergman (Medical Scientist Training Program, Vanderbilt University School of Medicine) C Christin I. Keeton (Department of Medicine, Division of Hematology/Oncology, Vanderbilt University Medical Center) I Irika R. Sinha (Department of Neuroscience, Johns Hopkins School of Medicine) J Jonathan P. Ling (Department of Pathology, Division of Neuropathology, Johns Hopkins University) Y Yu Wang L Lauren Ha (Department of Medicine, Division of Hematology/Oncology, Vanderbilt University Medical Center) E Eshani P. Mehta (Department of Medicine, Division of Hematology/Oncology, Vanderbilt University Medical Center) S Sarah C. Reed (Medical Scientist Training Program, Vanderbilt University School of Medicine) E Ethan K. Fox (Department of Medicine, Division of Hematology/Oncology, Vanderbilt University Medical Center) T Tina M. O’Grady (Tempus AI, Inc.) Y Yingying Yu (Tempus AI, Inc.) S Stamatina Fragkogianni (Tempus AI, Inc.) C Calvin Chao (Tempus AI, Inc.) B Brad A. Davidson (Department of Medicine, Division of Hematology/Oncology, Vanderbilt University Medical Center) A Adam X. Miranda (Department of Medicine, Division of Hematology/Oncology, Vanderbilt University Medical Center) S Sarah Croessmann (Department of Medicine, Division of Hematology/Oncology, Vanderbilt University Medical Center) S Shilin Zhao (Department of Biostatistics, Vanderbilt University Medical Center) Q Qi Liu Y Yu Shyr (Department of Biostatistics, Vanderbilt University Medical Center) W W. Brian Dalton (The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University) P Paula J. Hurley (Department of Medicine, Division of Hematology/Oncology, Vanderbilt University Medical Center) B Ben H. Park (Department of Medicine, Division of Hematology/Oncology, Vanderbilt University Medical Center)

Abstract

Tumor genomic profiling has uncovered many cancer drivers whose implications in terms of tumor biology and therapeutic actionability remain understudied. Hotspot mutations in SF3B1 induce widespread transcriptomic alterations and occur across multiple cancer types. Despite this, the biological and clinical consequences of SF3B1 mutations remain elusive. Characterization of the largest SF3B1 mutant breast cancer clinical cohort to date identifies SF3B1 driver mutations in approximately 2.5% of HR+ HER2- breast cancer, with strong enrichment of K700E substitutions, substantial variation in variant allele fraction (VAF), and significantly improved overall survival due to enrichment in Luminal A disease. In vitro and in vivo studies in representative cell models suggest several of the most prevalent SF3B1 mutations have deleterious effects on cell growth, leading to selective loss of the mutation over time, providing a rationale for the low frequency and low VAF of SF3B1 mutations in breast cancer. Though all introduced hotspot mutations limit growth and are reverted to wildtype (WT) over time, mutations at position R625 have a more pronounced phenotype than K700E, providing an explanation for the clinically observed skew in mutation frequencies. RNA and DNA sequencing analyses were used to identify characteristic pathway-level transcriptomic changes in SF3B1 -mutant cells and identify copy number alterations as a mechanism of both improved mutation tolerability and a means to eliminate the mutation over time. These data suggest that while SF3B1 mutations are enriched in some clinical contexts, their role in breast tumorigenesis is highly complex and dependent on secondary events that overcome their deleterious effects on cell growth and survival.

Article Details

Volume / Issue Vol. 122, Issue 41
Published October 14, 2025
ISSN 0027-8424
Publisher National Academy of Sciences

Authors (22)

R

Riley E. Bergman

Medical Scientist Training Program, Vanderbilt University School of Medicine

C

Christin I. Keeton

Department of Medicine, Division of Hematology/Oncology, Vanderbilt University Medical Center

I

Irika R. Sinha

Department of Neuroscience, Johns Hopkins School of Medicine

J

Jonathan P. Ling

Department of Pathology, Division of Neuropathology, Johns Hopkins University

Y

Yu Wang

L

Lauren Ha

Department of Medicine, Division of Hematology/Oncology, Vanderbilt University Medical Center

E

Eshani P. Mehta

Department of Medicine, Division of Hematology/Oncology, Vanderbilt University Medical Center

S

Sarah C. Reed

Medical Scientist Training Program, Vanderbilt University School of Medicine

E

Ethan K. Fox

Department of Medicine, Division of Hematology/Oncology, Vanderbilt University Medical Center

T

Tina M. O’Grady

Tempus AI, Inc.

Y

Yingying Yu

Tempus AI, Inc.

S

Stamatina Fragkogianni

Tempus AI, Inc.

C

Calvin Chao

Tempus AI, Inc.

B

Brad A. Davidson

Department of Medicine, Division of Hematology/Oncology, Vanderbilt University Medical Center

A

Adam X. Miranda

Department of Medicine, Division of Hematology/Oncology, Vanderbilt University Medical Center

S

Sarah Croessmann

Department of Medicine, Division of Hematology/Oncology, Vanderbilt University Medical Center

S

Shilin Zhao

Department of Biostatistics, Vanderbilt University Medical Center

Q

Qi Liu

Y

Yu Shyr

Department of Biostatistics, Vanderbilt University Medical Center

W

W. Brian Dalton

The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University

P

Paula J. Hurley

Department of Medicine, Division of Hematology/Oncology, Vanderbilt University Medical Center

B

Ben H. Park

Department of Medicine, Division of Hematology/Oncology, Vanderbilt University Medical Center