Cargando…

Adjuvant chemotherapy guidance for pT1–3N0–1 breast cancer patients with HR(+), HER2(−) subtype: a cohort study based on the SEER database

BACKGROUND: Although the results of gene testing can guide early breast cancer patients with hormone receptor (HR)(+), human epidermal growth factor receptor 2 (HER2)(−) to decide whether they need chemotherapy (CHT), there are still many patients worldwide whose problems cannot be resolved by genet...

Descripción completa

Detalles Bibliográficos
Autores principales: Wen, Nan, Qiu, Juanjuan, Xu, Li, Wang, Yu, Zhang, Jia, Xie, Yanyan, Lv, Qing, Du, Zhenggui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8756223/
https://www.ncbi.nlm.nih.gov/pubmed/35071473
http://dx.doi.org/10.21037/atm-21-5937
_version_ 1784632522883203072
author Wen, Nan
Qiu, Juanjuan
Xu, Li
Wang, Yu
Zhang, Jia
Xie, Yanyan
Lv, Qing
Du, Zhenggui
author_facet Wen, Nan
Qiu, Juanjuan
Xu, Li
Wang, Yu
Zhang, Jia
Xie, Yanyan
Lv, Qing
Du, Zhenggui
author_sort Wen, Nan
collection PubMed
description BACKGROUND: Although the results of gene testing can guide early breast cancer patients with hormone receptor (HR)(+), human epidermal growth factor receptor 2 (HER2)(−) to decide whether they need chemotherapy (CHT), there are still many patients worldwide whose problems cannot be resolved by genetic testing. METHODS: A total of 144,735 patients with HR(+), HER2(−), pT1–3N0–1 breast cancer from the Surveillance, Epidemiology, and End Results (SEER) database from 2010 to 2015 were included. They were divided into CHT and no CHT groups, and after propensity score matching (PSM), overall survival (OS) and breast cancer-specific survival (BCSS) were tested using the Kaplan-Meier plot. The Cox proportional hazards regression model was used to identify independent prognostic factors. A nomogram was constructed to score each patient. Patients were divided into high- or low-risk groups according to their nomogram score using X-tile. RESULTS: Patients receiving CHT had better OS before and after matching (P<0.05), but BCSS was not significantly different between patients with and without CHT after matching. Independent prognostic factors were included to construct the nomogram, which could calculate the risk score for each patient, and then all patients were divided into two groups using X-tile: a risk score ≤238 was classified as the low-risk group and >238 was classified as the high-risk group. Patients in the high-risk group (score >238) could achieve better OS and from CHT; however, the low-risk group (score ≤238) could not. CONCLUSIONS: In this study, a well-validated nomogram and a risk stratification model was built. Patients in the high-risk group should receive CHT, while patients in low-risk group may be exempt from CHT.
format Online
Article
Text
id pubmed-8756223
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher AME Publishing Company
record_format MEDLINE/PubMed
spelling pubmed-87562232022-01-21 Adjuvant chemotherapy guidance for pT1–3N0–1 breast cancer patients with HR(+), HER2(−) subtype: a cohort study based on the SEER database Wen, Nan Qiu, Juanjuan Xu, Li Wang, Yu Zhang, Jia Xie, Yanyan Lv, Qing Du, Zhenggui Ann Transl Med Original Article BACKGROUND: Although the results of gene testing can guide early breast cancer patients with hormone receptor (HR)(+), human epidermal growth factor receptor 2 (HER2)(−) to decide whether they need chemotherapy (CHT), there are still many patients worldwide whose problems cannot be resolved by genetic testing. METHODS: A total of 144,735 patients with HR(+), HER2(−), pT1–3N0–1 breast cancer from the Surveillance, Epidemiology, and End Results (SEER) database from 2010 to 2015 were included. They were divided into CHT and no CHT groups, and after propensity score matching (PSM), overall survival (OS) and breast cancer-specific survival (BCSS) were tested using the Kaplan-Meier plot. The Cox proportional hazards regression model was used to identify independent prognostic factors. A nomogram was constructed to score each patient. Patients were divided into high- or low-risk groups according to their nomogram score using X-tile. RESULTS: Patients receiving CHT had better OS before and after matching (P<0.05), but BCSS was not significantly different between patients with and without CHT after matching. Independent prognostic factors were included to construct the nomogram, which could calculate the risk score for each patient, and then all patients were divided into two groups using X-tile: a risk score ≤238 was classified as the low-risk group and >238 was classified as the high-risk group. Patients in the high-risk group (score >238) could achieve better OS and from CHT; however, the low-risk group (score ≤238) could not. CONCLUSIONS: In this study, a well-validated nomogram and a risk stratification model was built. Patients in the high-risk group should receive CHT, while patients in low-risk group may be exempt from CHT. AME Publishing Company 2021-12 /pmc/articles/PMC8756223/ /pubmed/35071473 http://dx.doi.org/10.21037/atm-21-5937 Text en 2021 Annals of Translational Medicine. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Original Article
Wen, Nan
Qiu, Juanjuan
Xu, Li
Wang, Yu
Zhang, Jia
Xie, Yanyan
Lv, Qing
Du, Zhenggui
Adjuvant chemotherapy guidance for pT1–3N0–1 breast cancer patients with HR(+), HER2(−) subtype: a cohort study based on the SEER database
title Adjuvant chemotherapy guidance for pT1–3N0–1 breast cancer patients with HR(+), HER2(−) subtype: a cohort study based on the SEER database
title_full Adjuvant chemotherapy guidance for pT1–3N0–1 breast cancer patients with HR(+), HER2(−) subtype: a cohort study based on the SEER database
title_fullStr Adjuvant chemotherapy guidance for pT1–3N0–1 breast cancer patients with HR(+), HER2(−) subtype: a cohort study based on the SEER database
title_full_unstemmed Adjuvant chemotherapy guidance for pT1–3N0–1 breast cancer patients with HR(+), HER2(−) subtype: a cohort study based on the SEER database
title_short Adjuvant chemotherapy guidance for pT1–3N0–1 breast cancer patients with HR(+), HER2(−) subtype: a cohort study based on the SEER database
title_sort adjuvant chemotherapy guidance for pt1–3n0–1 breast cancer patients with hr(+), her2(−) subtype: a cohort study based on the seer database
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8756223/
https://www.ncbi.nlm.nih.gov/pubmed/35071473
http://dx.doi.org/10.21037/atm-21-5937
work_keys_str_mv AT wennan adjuvantchemotherapyguidanceforpt13n01breastcancerpatientswithhrher2subtypeacohortstudybasedontheseerdatabase
AT qiujuanjuan adjuvantchemotherapyguidanceforpt13n01breastcancerpatientswithhrher2subtypeacohortstudybasedontheseerdatabase
AT xuli adjuvantchemotherapyguidanceforpt13n01breastcancerpatientswithhrher2subtypeacohortstudybasedontheseerdatabase
AT wangyu adjuvantchemotherapyguidanceforpt13n01breastcancerpatientswithhrher2subtypeacohortstudybasedontheseerdatabase
AT zhangjia adjuvantchemotherapyguidanceforpt13n01breastcancerpatientswithhrher2subtypeacohortstudybasedontheseerdatabase
AT xieyanyan adjuvantchemotherapyguidanceforpt13n01breastcancerpatientswithhrher2subtypeacohortstudybasedontheseerdatabase
AT lvqing adjuvantchemotherapyguidanceforpt13n01breastcancerpatientswithhrher2subtypeacohortstudybasedontheseerdatabase
AT duzhenggui adjuvantchemotherapyguidanceforpt13n01breastcancerpatientswithhrher2subtypeacohortstudybasedontheseerdatabase