The significance of risk stratification through nomogram-based assessment in determining postmastectomy radiotherapy for patients diagnosed with pT1-2N1M0 breast cancer
Objective: To explore the high-risk factors affecting the prognosis of pT(1 - 2)N(1)M(0) patients after mastectomy, establish a nomogram prediction model, and screen the radiotherapy benefit population. Method: The clinical data of 936 patients with pT(1 - 2)N(1)M(0) who underwent mastectomy in the fourth hospital of Hebei Medical University from 2010 to 2016 were retrospectively analyzed. There were 583 patients received postmastectomy radiotherapy(PMRT), and 325 patients without PMRT. Group imbalances were mitigated using the propensity score matching (PSM) method, and the log-rank test was employed to compare overall survival (OS) and disease-free survival (DFS) between the cohorts. The efficacy of PMRT across various risk groups was evaluated using a nomogram model. Result: The median follow-up period was 98 months, Patients who received PMRT demonstrated significantly improved 5-year and 8-year OS and DFS compared to those who did not (P < 0.001). Multivariate analysis revealed that age, primary tumor site, positive lymph node, stage, and Ki-67 level independently influenced OS, while age, primary tumor site, and stage independently affected DFS. PMRT drastically enhanced OS in the high-risk group (P = 0.001), but did not confer benefits in the low-risk and intermediate risk groups (P = 0.057, P = 0.099). PMRT led to a significant improvement in disease-free survival (DFS) among patients in the intermediate and high-risk groups (P = 0.036, P = 0.001), whereas the low-risk group did not experience a significant benefit (P = 0.475). Conclusion: Age <= 40 years, tumor located in the inner quadrant or central area, T-2 stage, 2-3 lymph nodes metastasis, and Ki67 > 30% were the high-risk factors affecting the prognosis of this cohort of patients. In OS nomogram, patients with a risk score of 149 or higher who received PMRT exhibited improved OS. Similarly, in DFS nomogram, patients with a risk score of 123 or higher who received PMRT demonstrated enhanced DFS.
基金:
Heibei Province medical science research project (20240090). Heibei Province
medical science research project (20240018). Clinical Medicine Outstanding
Talent Training Project Funded by Hebei Provincial Government (ZF2024123).
语种:
外文
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中科院分区:
出版当年[2025]版:
大类|2 区医学
小类|2 区核医学3 区肿瘤学
最新[2025]版:
大类|2 区医学
小类|2 区核医学3 区肿瘤学
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出版当年[2024]版:
无
最新[2023]版:
Q1RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGINGQ2ONCOLOGY
第一作者机构:[1]Hebei Med Univ, Hosp 4, Dept Radiat Oncol, Shijiazhuang 050035, Peoples R China
通讯作者:
通讯机构:[1]Hebei Med Univ, Hosp 4, Dept Radiat Oncol, Shijiazhuang 050035, Peoples R China
推荐引用方式(GB/T 7714):
Wei Chao,Kong Jie,Han Huina,et al.The significance of risk stratification through nomogram-based assessment in determining postmastectomy radiotherapy for patients diagnosed with pT1-2N1M0 breast cancer[J].RADIATION ONCOLOGY.2024,19(1):doi:10.1186/s13014-024-02510-w.
APA:
Wei, Chao,Kong, Jie,Han, Huina,Wang, Xue,Gao, Zimeng...&Liu, Zhikun.(2024).The significance of risk stratification through nomogram-based assessment in determining postmastectomy radiotherapy for patients diagnosed with pT1-2N1M0 breast cancer.RADIATION ONCOLOGY,19,(1)
MLA:
Wei, Chao,et al."The significance of risk stratification through nomogram-based assessment in determining postmastectomy radiotherapy for patients diagnosed with pT1-2N1M0 breast cancer".RADIATION ONCOLOGY 19..1(2024)