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Evolutionary measures show that recurrence of DCIS is distinct from progression to breast cancer.

Publication ,  Journal Article
Fortunato, A; Mallo, D; Cisneros, L; King, LM; Khan, A; Curtis, C; Ryser, MD; Lo, JY; Hall, A; Marks, JR; Hwang, ES; Maley, CC
Published in: Breast Cancer Res
March 21, 2025

BACKGROUND: Progression from pre-cancers like ductal carcinoma in situ (DCIS) to invasive disease (cancer) is driven by somatic evolution and is altered by clinical interventions. We hypothesized that genetic and/or phenotypic intra-tumor heterogeneity would predict clinical outcomes for DCIS since it serves as the substrate for natural selection among cells. METHODS: We profiled two samples from two geographically distinct foci from each DCIS in both cross-sectional (n = 119) and longitudinal cohorts (n = 224), with whole exome sequencing, low-pass whole genome sequencing, and a panel of immunohistochemical markers. RESULTS: In the longitudinal cohorts, the only statistically significant associations with time to non-invasive DCIS recurrence were the combination of treatment (lumpectomy only vs mastectomy or lumpectomy with radiation, HR 12.13, p = 0.003, Wald test with FDR correction), ER status (HR 0.16 for ER+ compared to ER-, p = 0.0045), and divergence in SNVs between the two samples (HR 1.33 per 10% divergence, p = 0.018). SNV divergence also distinguished between pure DCIS and DCIS synchronous with invasive disease in the cross-sectional cohort. In contrast, the only statistically significant associations with time to progression to invasive disease were the combination of the width of the surgical margin (HR 0.67 per mm, p = 0.043) and the number of mutations that were detectable at high allele frequencies (HR 1.30 per 10 SNVs, p = 0.02). No predictors were significantly associated with both DCIS recurrence and progression to invasive disease, suggesting that the evolutionary scenarios that lead to these clinical outcomes are markedly different. CONCLUSIONS: These results imply that recurrence with DCIS is a clinical and biological process different from invasive progression.

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Published In

Breast Cancer Res

DOI

EISSN

1465-542X

Publication Date

March 21, 2025

Volume

27

Issue

1

Start / End Page

43

Location

England

Related Subject Headings

  • Prognosis
  • Oncology & Carcinogenesis
  • Neoplasm Recurrence, Local
  • Middle Aged
  • Longitudinal Studies
  • Humans
  • Female
  • Exome Sequencing
  • Disease Progression
  • Cross-Sectional Studies
 

Citation

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Fortunato, A., Mallo, D., Cisneros, L., King, L. M., Khan, A., Curtis, C., … Maley, C. C. (2025). Evolutionary measures show that recurrence of DCIS is distinct from progression to breast cancer. Breast Cancer Res, 27(1), 43. https://doi.org/10.1186/s13058-025-01966-2
Fortunato, Angelo, Diego Mallo, Luis Cisneros, Lorraine M. King, Aziz Khan, Christina Curtis, Marc D. Ryser, et al. “Evolutionary measures show that recurrence of DCIS is distinct from progression to breast cancer.Breast Cancer Res 27, no. 1 (March 21, 2025): 43. https://doi.org/10.1186/s13058-025-01966-2.
Fortunato A, Mallo D, Cisneros L, King LM, Khan A, Curtis C, et al. Evolutionary measures show that recurrence of DCIS is distinct from progression to breast cancer. Breast Cancer Res. 2025 Mar 21;27(1):43.
Fortunato, Angelo, et al. “Evolutionary measures show that recurrence of DCIS is distinct from progression to breast cancer.Breast Cancer Res, vol. 27, no. 1, Mar. 2025, p. 43. Pubmed, doi:10.1186/s13058-025-01966-2.
Fortunato A, Mallo D, Cisneros L, King LM, Khan A, Curtis C, Ryser MD, Lo JY, Hall A, Marks JR, Hwang ES, Maley CC. Evolutionary measures show that recurrence of DCIS is distinct from progression to breast cancer. Breast Cancer Res. 2025 Mar 21;27(1):43.

Published In

Breast Cancer Res

DOI

EISSN

1465-542X

Publication Date

March 21, 2025

Volume

27

Issue

1

Start / End Page

43

Location

England

Related Subject Headings

  • Prognosis
  • Oncology & Carcinogenesis
  • Neoplasm Recurrence, Local
  • Middle Aged
  • Longitudinal Studies
  • Humans
  • Female
  • Exome Sequencing
  • Disease Progression
  • Cross-Sectional Studies