HER2-low heterogeneity between primary and paired recurrent/metastatic breast cancer: Implications in treatment and prognosis.

HER2-low biopsy breast cancer heterogeneity human epidermal growth factor receptor 2 (HER2) prognosis

Journal

Cancer
ISSN: 1097-0142
Titre abrégé: Cancer
Pays: United States
ID NLM: 0374236

Informations de publication

Date de publication:
07 Nov 2023
Historique:
revised: 22 09 2023
received: 15 08 2023
accepted: 09 10 2023
medline: 7 11 2023
pubmed: 7 11 2023
entrez: 7 11 2023
Statut: aheadofprint

Résumé

With the largest sample size to date, the authors' objective was to investigate the incidence of primary-to-metastatic human epidermal growth factor 2 (HER2) conversion and the predictors for such conversion. Moreover, no previous studies have evaluated the prognosis of patients who have negative HER2 expression (HER2-0) versus low HER2 expression (HER2-low) when HER2 status was assessed based on all recurrent/metastatic lesions. The authors included 1299 patients who had available HER2 status of primary breast tumors and paired recurrent/metastatic lesions at Fudan University Shanghai Cancer Center and West China Hospital. In total, 370 patients (28.5%) experienced primary-to-metastatic HER2 conversion. Intrapatient intermetastasis spatial heterogeneity and temporal heterogeneity of HER2 were detected. When assessing HER2 based on recurrent/metastatic tumors, patients who had HER2-0 tumors had significantly shorter overall survival than those who had HER2-low tumors in the overall population and in the estrogen receptor (ER)-negative subgroup. However, when assessing HER2 based on primary tumors, there was no difference in overall survival between patients who had HER2-0 versus HER2-low tumors. Moreover, patients who had tumors that converted from HER2-0 to HER2-low had longer overall survival than those who had consistent HER2-0 status in the ER-negative subgroup. By combining four predictors (ER status, Ki67 index, biopsy site, and disease-free interval), the authors established the first prediction tool to estimate the probability of HER2-0 tumors converting to HER2-low/positive tumors. Intrapatient primary-to-metastatic and intermetastatic HER2 heterogeneity were observed in this large-scale cohort study. When evaluating HER2 based on recurrent/metastatic tumors, an overall survival difference was observed between patients who had HER2-0 versus HER2-low, recurrent/metastatic breast tumors. The developed prediction tool might help clinicians screen out patients with primary HER2-0 tumors that have a high probability of HER2 status conversion and recommend them for re-biopsy, thus helping to screen out candidate patients for trastuzumab deruxtecan treatment.

Sections du résumé

BACKGROUND BACKGROUND
With the largest sample size to date, the authors' objective was to investigate the incidence of primary-to-metastatic human epidermal growth factor 2 (HER2) conversion and the predictors for such conversion. Moreover, no previous studies have evaluated the prognosis of patients who have negative HER2 expression (HER2-0) versus low HER2 expression (HER2-low) when HER2 status was assessed based on all recurrent/metastatic lesions.
METHODS METHODS
The authors included 1299 patients who had available HER2 status of primary breast tumors and paired recurrent/metastatic lesions at Fudan University Shanghai Cancer Center and West China Hospital.
RESULTS RESULTS
In total, 370 patients (28.5%) experienced primary-to-metastatic HER2 conversion. Intrapatient intermetastasis spatial heterogeneity and temporal heterogeneity of HER2 were detected. When assessing HER2 based on recurrent/metastatic tumors, patients who had HER2-0 tumors had significantly shorter overall survival than those who had HER2-low tumors in the overall population and in the estrogen receptor (ER)-negative subgroup. However, when assessing HER2 based on primary tumors, there was no difference in overall survival between patients who had HER2-0 versus HER2-low tumors. Moreover, patients who had tumors that converted from HER2-0 to HER2-low had longer overall survival than those who had consistent HER2-0 status in the ER-negative subgroup. By combining four predictors (ER status, Ki67 index, biopsy site, and disease-free interval), the authors established the first prediction tool to estimate the probability of HER2-0 tumors converting to HER2-low/positive tumors.
CONCLUSIONS CONCLUSIONS
Intrapatient primary-to-metastatic and intermetastatic HER2 heterogeneity were observed in this large-scale cohort study. When evaluating HER2 based on recurrent/metastatic tumors, an overall survival difference was observed between patients who had HER2-0 versus HER2-low, recurrent/metastatic breast tumors. The developed prediction tool might help clinicians screen out patients with primary HER2-0 tumors that have a high probability of HER2 status conversion and recommend them for re-biopsy, thus helping to screen out candidate patients for trastuzumab deruxtecan treatment.

Identifiants

pubmed: 37933913
doi: 10.1002/cncr.35101
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Chinese Young Breast Experts Research Project
ID : CYBER-2021-001
Organisme : National Natural Science Foundation of China
ID : 82072915
Organisme : Beijing Science and Technology Medical Development Foundation Project
ID : KC2022-ZZ-0091-6
Organisme : Project of Shanghai Municipal Health Commission
ID : 202140397

Informations de copyright

© 2023 American Cancer Society.

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Auteurs

Mingxi Lin (M)

Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
Department of Breast and Urinary Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.

Ting Luo (T)

Breast Disease Center, Cancer Center, West China Hospital, Sichuan University, Chengdu, China.
Multi-Omics Laboratory of Breast Diseases, State Key Laboratory of Biotherapy, National Collaborative, Innovation Center for Biotherapy, West China Hospital, Sichuan University, Chengdu, China.

Yizi Jin (Y)

Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.

Xiaorong Zhong (X)

Breast Disease Center, Cancer Center, West China Hospital, Sichuan University, Chengdu, China.
Multi-Omics Laboratory of Breast Diseases, State Key Laboratory of Biotherapy, National Collaborative, Innovation Center for Biotherapy, West China Hospital, Sichuan University, Chengdu, China.

Dan Zheng (D)

Laboratory of Integrative Medicine, Clinical Research Center for Breast, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University and Collaborative Innovation Center, Chengdu, China.

Cheng Zeng (C)

Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.

Qing Guo (Q)

Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.

Jiong Wu (J)

Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
Department of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Key Laboratory of Breast Cancer in Shanghai, Shanghai, China.

Zhi-Ming Shao (ZM)

Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
Department of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Key Laboratory of Breast Cancer in Shanghai, Shanghai, China.

Xichun Hu (X)

Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
Department of Breast and Urinary Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.

Wentao Yang (W)

Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China.

Jian Zhang (J)

Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
Phase I Clinical Trial Center, Fudan University Shanghai Cancer Center, Shanghai, China.

Classifications MeSH