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Annals of Surgical Oncology

, Volume 26, Issue 10, pp 3185–3193 | Cite as

Clinical Implications of Transcriptomic Changes After Neoadjuvant Chemotherapy in Patients with Triple-Negative Breast Cancer

  • Javier I. J. Orozco
  • Janie G. Grumley
  • Chikako Matsuba
  • Ayla O. Manughian-Peter
  • Shu-Ching Chang
  • Grace Chang
  • Francisco E. Gago
  • Matthew P. SalomonEmail author
  • Diego M. MarzeseEmail author
Breast Oncology
  • 98 Downloads

Abstract

Background

Pathological response to neoadjuvant chemotherapy (NAC) is critical in prognosis and selection of systemic treatments for patients with triple-negative breast cancer (TNBC). The aim of this study is to identify gene expression-based markers to predict response to NAC.

Patients and Methods

A survey of 43 publicly available gene expression datasets was performed. We identified a cohort of TNBC patients treated with NAC (n = 708). Gene expression data from different studies were renormalized, and the differences between pretreatment (pre-NAC), on-treatment (post-C1), and surgical (Sx) specimens were evaluated. Euclidean statistical distances were calculated to estimate changes in gene expression patterns induced by NAC. Hierarchical clustering and pathway enrichment analyses were used to characterize relationships between differentially expressed genes and affected gene pathways. Machine learning was employed to refine a gene expression signature with the potential to predict response to NAC.

Results

Forty nine genes consistently affected by NAC were involved in enhanced regulation of wound response, chemokine release, cell division, and decreased programmed cell death in residual invasive disease. The statistical distances between pre-NAC and post-C1 significantly predicted pathological complete response [area under the curve (AUC) = 0.75; p = 0.003; 95% confidence interval (CI) 0.58–0.92]. Finally, the expression of CCND1, a cyclin that forms complexes with CDK4/6 to promote the cell cycle, was the most informative feature in pre-NAC biopsies to predict response to NAC.

Conclusions

The results of this study reveal significant transcriptomic changes induced by NAC and suggest that chemotherapy-induced gene expression changes observed early in therapy may be good predictors of response to NAC.

Notes

Acknowledgement

This study was supported by the Associates for Breast and Prostate Cancer Studies (ABCs) Foundation, the Fashion Footwear Association of New York (FFANY) Foundation, and the John Wayne Cancer Institute Translational Research Fund.

Disclosures

The authors have no conflict of interest disclosures to report.

Supplementary material

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Supplementary material 1 (PDF 166 kb)
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Copyright information

© Society of Surgical Oncology 2019

Authors and Affiliations

  1. 1.Cancer Epigenetics LaboratoryJohn Wayne Cancer Institute at Providence Saint John’s Health CenterSanta MonicaUSA
  2. 2.Margie Petersen Breast CenterJohn Wayne Cancer Institute at Providence Saint John’s Health CenterSanta MonicaUSA
  3. 3.Computational Biology LaboratoryJohn Wayne Cancer Institute at Providence Saint John’s Health CenterSanta MonicaUSA
  4. 4.Medical Data Research CenterProvidence Saint Joseph HealthPortlandUSA
  5. 5.Hematology and Oncology DepartmentProvidence Saint John’s Health CenterSanta MonicaUSA
  6. 6.Gineco-Mamario InstituteMendozaArgentina

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