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Integration of multiomics data shows down regulation of mismatch repair and tubulin pathways in triple-negative chemotherapy-resistant breast tumors

BACKGROUND: Triple-negative breast cancer (TNBC) is the most aggressive breast cancer subtype. Patients with TNBC are primarily treated with neoadjuvant chemotherapy (NAC). The response to NAC is prognostic, with reductions in overall survival and disease-free survival rates in those patients who do...

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Autores principales: Tang, Xiaojia, Thompson, Kevin J., Kalari, Krishna R., Sinnwell, Jason P., Suman, Vera J., Vedell, Peter T., McLaughlin, Sarah A., Northfelt, Donald W., Aspitia, Alvaro Moreno, Gray, Richard J., Carter, Jodi M., Weinshilboum, Richard, Wang, Liewei, Boughey, Judy C., Goetz, Matthew P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10207800/
https://www.ncbi.nlm.nih.gov/pubmed/37226243
http://dx.doi.org/10.1186/s13058-023-01656-x
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author Tang, Xiaojia
Thompson, Kevin J.
Kalari, Krishna R.
Sinnwell, Jason P.
Suman, Vera J.
Vedell, Peter T.
McLaughlin, Sarah A.
Northfelt, Donald W.
Aspitia, Alvaro Moreno
Gray, Richard J.
Carter, Jodi M.
Weinshilboum, Richard
Wang, Liewei
Boughey, Judy C.
Goetz, Matthew P.
author_facet Tang, Xiaojia
Thompson, Kevin J.
Kalari, Krishna R.
Sinnwell, Jason P.
Suman, Vera J.
Vedell, Peter T.
McLaughlin, Sarah A.
Northfelt, Donald W.
Aspitia, Alvaro Moreno
Gray, Richard J.
Carter, Jodi M.
Weinshilboum, Richard
Wang, Liewei
Boughey, Judy C.
Goetz, Matthew P.
author_sort Tang, Xiaojia
collection PubMed
description BACKGROUND: Triple-negative breast cancer (TNBC) is the most aggressive breast cancer subtype. Patients with TNBC are primarily treated with neoadjuvant chemotherapy (NAC). The response to NAC is prognostic, with reductions in overall survival and disease-free survival rates in those patients who do not achieve a pathological complete response (pCR). Based on this premise, we hypothesized that paired analysis of primary and residual TNBC tumors following NAC could identify unique biomarkers associated with post-NAC recurrence. METHODS AND RESULTS: We investigated 24 samples from 12 non-LAR TNBC patients with paired pre- and post-NAC data, including four patients with recurrence shortly after surgery (< 24 months) and eight who remained recurrence-free (> 48 months). These tumors were collected from a prospective NAC breast cancer study (BEAUTY) conducted at the Mayo Clinic. Differential expression analysis of pre-NAC biopsies showed minimal gene expression differences between early recurrent and nonrecurrent TNBC tumors; however, post-NAC samples demonstrated significant alterations in expression patterns in response to intervention. Topological-level differences associated with early recurrence were implicated in 251 gene sets, and an independent assessment of microarray gene expression data from the 9 paired non-LAR samples available in the NAC I-SPY1 trial confirmed 56 gene sets. Within these 56 gene sets, 113 genes were observed to be differentially expressed in the I-SPY1 and BEAUTY post-NAC studies. An independent (n = 392) breast cancer dataset with relapse-free survival (RFS) data was used to refine our gene list to a 17-gene signature. A threefold cross-validation analysis of the gene signature with the combined BEAUTY and I-SPY1 data yielded an average AUC of 0.88 for six machine-learning models. Due to the limited number of studies with pre- and post-NAC TNBC tumor data, further validation of the signature is needed. CONCLUSION: Analysis of multiomics data from post-NAC TNBC chemoresistant tumors showed down regulation of mismatch repair and tubulin pathways. Additionally, we identified a 17-gene signature in TNBC associated with post-NAC recurrence enriched with down-regulated immune genes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13058-023-01656-x.
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spelling pubmed-102078002023-05-25 Integration of multiomics data shows down regulation of mismatch repair and tubulin pathways in triple-negative chemotherapy-resistant breast tumors Tang, Xiaojia Thompson, Kevin J. Kalari, Krishna R. Sinnwell, Jason P. Suman, Vera J. Vedell, Peter T. McLaughlin, Sarah A. Northfelt, Donald W. Aspitia, Alvaro Moreno Gray, Richard J. Carter, Jodi M. Weinshilboum, Richard Wang, Liewei Boughey, Judy C. Goetz, Matthew P. Breast Cancer Res Research BACKGROUND: Triple-negative breast cancer (TNBC) is the most aggressive breast cancer subtype. Patients with TNBC are primarily treated with neoadjuvant chemotherapy (NAC). The response to NAC is prognostic, with reductions in overall survival and disease-free survival rates in those patients who do not achieve a pathological complete response (pCR). Based on this premise, we hypothesized that paired analysis of primary and residual TNBC tumors following NAC could identify unique biomarkers associated with post-NAC recurrence. METHODS AND RESULTS: We investigated 24 samples from 12 non-LAR TNBC patients with paired pre- and post-NAC data, including four patients with recurrence shortly after surgery (< 24 months) and eight who remained recurrence-free (> 48 months). These tumors were collected from a prospective NAC breast cancer study (BEAUTY) conducted at the Mayo Clinic. Differential expression analysis of pre-NAC biopsies showed minimal gene expression differences between early recurrent and nonrecurrent TNBC tumors; however, post-NAC samples demonstrated significant alterations in expression patterns in response to intervention. Topological-level differences associated with early recurrence were implicated in 251 gene sets, and an independent assessment of microarray gene expression data from the 9 paired non-LAR samples available in the NAC I-SPY1 trial confirmed 56 gene sets. Within these 56 gene sets, 113 genes were observed to be differentially expressed in the I-SPY1 and BEAUTY post-NAC studies. An independent (n = 392) breast cancer dataset with relapse-free survival (RFS) data was used to refine our gene list to a 17-gene signature. A threefold cross-validation analysis of the gene signature with the combined BEAUTY and I-SPY1 data yielded an average AUC of 0.88 for six machine-learning models. Due to the limited number of studies with pre- and post-NAC TNBC tumor data, further validation of the signature is needed. CONCLUSION: Analysis of multiomics data from post-NAC TNBC chemoresistant tumors showed down regulation of mismatch repair and tubulin pathways. Additionally, we identified a 17-gene signature in TNBC associated with post-NAC recurrence enriched with down-regulated immune genes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13058-023-01656-x. BioMed Central 2023-05-24 2023 /pmc/articles/PMC10207800/ /pubmed/37226243 http://dx.doi.org/10.1186/s13058-023-01656-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Tang, Xiaojia
Thompson, Kevin J.
Kalari, Krishna R.
Sinnwell, Jason P.
Suman, Vera J.
Vedell, Peter T.
McLaughlin, Sarah A.
Northfelt, Donald W.
Aspitia, Alvaro Moreno
Gray, Richard J.
Carter, Jodi M.
Weinshilboum, Richard
Wang, Liewei
Boughey, Judy C.
Goetz, Matthew P.
Integration of multiomics data shows down regulation of mismatch repair and tubulin pathways in triple-negative chemotherapy-resistant breast tumors
title Integration of multiomics data shows down regulation of mismatch repair and tubulin pathways in triple-negative chemotherapy-resistant breast tumors
title_full Integration of multiomics data shows down regulation of mismatch repair and tubulin pathways in triple-negative chemotherapy-resistant breast tumors
title_fullStr Integration of multiomics data shows down regulation of mismatch repair and tubulin pathways in triple-negative chemotherapy-resistant breast tumors
title_full_unstemmed Integration of multiomics data shows down regulation of mismatch repair and tubulin pathways in triple-negative chemotherapy-resistant breast tumors
title_short Integration of multiomics data shows down regulation of mismatch repair and tubulin pathways in triple-negative chemotherapy-resistant breast tumors
title_sort integration of multiomics data shows down regulation of mismatch repair and tubulin pathways in triple-negative chemotherapy-resistant breast tumors
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10207800/
https://www.ncbi.nlm.nih.gov/pubmed/37226243
http://dx.doi.org/10.1186/s13058-023-01656-x
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