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Molecular subtypes predict the preferential site of distant metastasis in advanced breast cancer: a nationwide retrospective study

OBJECTIVE: This study aimed to explore possible associations between molecular subtypes and site of distant metastasis in advanced breast cancer (ABC). METHODS: 3577 ABC patients were selected from 21 hospitals of seven geographic regions in China from 2012-2014. A questionnaire was designed to coll...

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Autores principales: Fan, Jin-Hu, Zhang, Su, Yang, Huan, Yi, Zong-Bi, Ouyang, Qu-Chang, Yan, Min, Wang, Xiao-Jia, Hu, Xi-Chun, Jiang, Ze-Fei, Huang, Tao, Tong, Zhong-Sheng, Wang, Shu-Sen, Yin, Yong-Mei, Li, Hui, Yang, Run-Xiang, Yang, Hua-Wei, Teng, Yue-E., Sun, Tao, Cai, Li, Li, Hong-Yuan, Ouyang, Xue-Nong, He, Jian-Jun, Liu, Xin-Lan, Yang, Shun-E., Wang, Jia-Yu, Xu, Bing-He, Qiao, You-Lin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9905808/
https://www.ncbi.nlm.nih.gov/pubmed/36761968
http://dx.doi.org/10.3389/fonc.2023.978985
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author Fan, Jin-Hu
Zhang, Su
Yang, Huan
Yi, Zong-Bi
Ouyang, Qu-Chang
Yan, Min
Wang, Xiao-Jia
Hu, Xi-Chun
Jiang, Ze-Fei
Huang, Tao
Tong, Zhong-Sheng
Wang, Shu-Sen
Yin, Yong-Mei
Li, Hui
Yang, Run-Xiang
Yang, Hua-Wei
Teng, Yue-E.
Sun, Tao
Cai, Li
Li, Hong-Yuan
Ouyang, Xue-Nong
He, Jian-Jun
Liu, Xin-Lan
Yang, Shun-E.
Wang, Jia-Yu
Xu, Bing-He
Qiao, You-Lin
author_facet Fan, Jin-Hu
Zhang, Su
Yang, Huan
Yi, Zong-Bi
Ouyang, Qu-Chang
Yan, Min
Wang, Xiao-Jia
Hu, Xi-Chun
Jiang, Ze-Fei
Huang, Tao
Tong, Zhong-Sheng
Wang, Shu-Sen
Yin, Yong-Mei
Li, Hui
Yang, Run-Xiang
Yang, Hua-Wei
Teng, Yue-E.
Sun, Tao
Cai, Li
Li, Hong-Yuan
Ouyang, Xue-Nong
He, Jian-Jun
Liu, Xin-Lan
Yang, Shun-E.
Wang, Jia-Yu
Xu, Bing-He
Qiao, You-Lin
author_sort Fan, Jin-Hu
collection PubMed
description OBJECTIVE: This study aimed to explore possible associations between molecular subtypes and site of distant metastasis in advanced breast cancer (ABC). METHODS: 3577 ABC patients were selected from 21 hospitals of seven geographic regions in China from 2012-2014. A questionnaire was designed to collect medical information regarding demographic characteristics, risk factors, molecular subtype, recurrence/metastasis information, and disease-free survival (DFS). The cancers were classified into Luminal A, Luminal B, HER2-enriched and Triple Negative subtypes. Chi-square test and multivariate Cox proportional hazard models were performed to explore the associations between molecular subtypes and distant metastasis sites. RESULTS: A total of 2393 cases with molecular subtypes information were finally examined. Patients with Luminal A (51.1%) and Luminal B (44.7%) were most prone to bone metastasis, whereas liver metastasis was more frequently observed in HER2-enriched ABC patients (29.1%).The cumulative recurrence and metastasis rates of ABC patients at 36 months of DFS were the most significant within molecular types, of which Triple Negative was the highest (82.7%), while that of Luminal A was the lowest (58.4%). In the adjusted Cox regression analysis, Luminal B, HER2-enriched and Triple Negative subtypes increased the risk of visceral metastasis by 23%, 46% and 87% respectively. In addition, Triple Negative patients had a higher probability of brain metastasis (HR 3.07, 95% CI: 1.04-9.07). CONCLUSION: Molecular subtypes can predict the preferential sites of distant metastasis, emphasizing that these associations were of great help in choices for surveillance, developing appropriate screening and cancer management strategies for follow-up and personalized therapy in ABC patients.
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spelling pubmed-99058082023-02-08 Molecular subtypes predict the preferential site of distant metastasis in advanced breast cancer: a nationwide retrospective study Fan, Jin-Hu Zhang, Su Yang, Huan Yi, Zong-Bi Ouyang, Qu-Chang Yan, Min Wang, Xiao-Jia Hu, Xi-Chun Jiang, Ze-Fei Huang, Tao Tong, Zhong-Sheng Wang, Shu-Sen Yin, Yong-Mei Li, Hui Yang, Run-Xiang Yang, Hua-Wei Teng, Yue-E. Sun, Tao Cai, Li Li, Hong-Yuan Ouyang, Xue-Nong He, Jian-Jun Liu, Xin-Lan Yang, Shun-E. Wang, Jia-Yu Xu, Bing-He Qiao, You-Lin Front Oncol Oncology OBJECTIVE: This study aimed to explore possible associations between molecular subtypes and site of distant metastasis in advanced breast cancer (ABC). METHODS: 3577 ABC patients were selected from 21 hospitals of seven geographic regions in China from 2012-2014. A questionnaire was designed to collect medical information regarding demographic characteristics, risk factors, molecular subtype, recurrence/metastasis information, and disease-free survival (DFS). The cancers were classified into Luminal A, Luminal B, HER2-enriched and Triple Negative subtypes. Chi-square test and multivariate Cox proportional hazard models were performed to explore the associations between molecular subtypes and distant metastasis sites. RESULTS: A total of 2393 cases with molecular subtypes information were finally examined. Patients with Luminal A (51.1%) and Luminal B (44.7%) were most prone to bone metastasis, whereas liver metastasis was more frequently observed in HER2-enriched ABC patients (29.1%).The cumulative recurrence and metastasis rates of ABC patients at 36 months of DFS were the most significant within molecular types, of which Triple Negative was the highest (82.7%), while that of Luminal A was the lowest (58.4%). In the adjusted Cox regression analysis, Luminal B, HER2-enriched and Triple Negative subtypes increased the risk of visceral metastasis by 23%, 46% and 87% respectively. In addition, Triple Negative patients had a higher probability of brain metastasis (HR 3.07, 95% CI: 1.04-9.07). CONCLUSION: Molecular subtypes can predict the preferential sites of distant metastasis, emphasizing that these associations were of great help in choices for surveillance, developing appropriate screening and cancer management strategies for follow-up and personalized therapy in ABC patients. Frontiers Media S.A. 2023-01-25 /pmc/articles/PMC9905808/ /pubmed/36761968 http://dx.doi.org/10.3389/fonc.2023.978985 Text en Copyright © 2023 Fan, Zhang, Yang, Yi, Ouyang, Yan, Wang, Hu, Jiang, Huang, Tong, Wang, Yin, Li, Yang, Yang, Teng, Sun, Cai, Li, Ouyang, He, Liu, Yang, Wang, Xu and Qiao https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Fan, Jin-Hu
Zhang, Su
Yang, Huan
Yi, Zong-Bi
Ouyang, Qu-Chang
Yan, Min
Wang, Xiao-Jia
Hu, Xi-Chun
Jiang, Ze-Fei
Huang, Tao
Tong, Zhong-Sheng
Wang, Shu-Sen
Yin, Yong-Mei
Li, Hui
Yang, Run-Xiang
Yang, Hua-Wei
Teng, Yue-E.
Sun, Tao
Cai, Li
Li, Hong-Yuan
Ouyang, Xue-Nong
He, Jian-Jun
Liu, Xin-Lan
Yang, Shun-E.
Wang, Jia-Yu
Xu, Bing-He
Qiao, You-Lin
Molecular subtypes predict the preferential site of distant metastasis in advanced breast cancer: a nationwide retrospective study
title Molecular subtypes predict the preferential site of distant metastasis in advanced breast cancer: a nationwide retrospective study
title_full Molecular subtypes predict the preferential site of distant metastasis in advanced breast cancer: a nationwide retrospective study
title_fullStr Molecular subtypes predict the preferential site of distant metastasis in advanced breast cancer: a nationwide retrospective study
title_full_unstemmed Molecular subtypes predict the preferential site of distant metastasis in advanced breast cancer: a nationwide retrospective study
title_short Molecular subtypes predict the preferential site of distant metastasis in advanced breast cancer: a nationwide retrospective study
title_sort molecular subtypes predict the preferential site of distant metastasis in advanced breast cancer: a nationwide retrospective study
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9905808/
https://www.ncbi.nlm.nih.gov/pubmed/36761968
http://dx.doi.org/10.3389/fonc.2023.978985
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