TP53 Signature Can Predict Pathological Response From Neoadjuvant Chemotherapy and Is a Prognostic Factor in Patients With Residual Disease.

Shin Takahashi, Keiju Sasaki, Chikashi Ishioka
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Abstract

Background: The TP53 signature that predicts the mutation status of TP53 has been shown to be a prognostic factor and predictor of neoadjuvant chemotherapy (NAC) response.

Objectives: The current study sought to investigate the utility of the TP53 signature for predicting pathological complete response (pCR) and its prognostic significance among patients with residual disease (RD).

Design: The study followed a retrospective cohort study design.

Methods: Patients with T1-3/N0-1 from a cohort of those with HER2-negative breast cancer who received NAC were selected. Ability to predict pCR was evaluated using odds ratio, positive and negative predictive values, sensitivity, and specificity. Prognostic factors in the RD group were explored using the Cox proportional hazards model with distant recurrence-free survival (DRFS). Four independent cohorts were used for validation.

Results: A total of 333 eligible patients were classified into the TP53 mutant signature (n = 154) and wild-type signature (n = 179). Among the molecular and pathological factors, the TP53 signature had the highest predictive power for pCR. In 4 independent cohorts (n = 151, 85, 104, and 67, respectively), pCR rate in TP53 mutant signature group was significantly higher than that in the wild-type group. Univariate and multivariate analyses on DRFS in the RD group identified the TP53 signature and nodal status as independent prognostic factors, with the former having a better hazard ratio than the latter. After comparing DRFS between 3 groups (pCR, RD/TP53 wild-type signature, and RD/TP53 mutant signature groups), the RD/TP53 mutant signature group showed significantly worse prognosis compared with others. The RD/TP53 wild-type signature group did not exhibit inferior DRFS compared with the pCR group.

Conclusion: Our results showed that the TP53 mutant signature can predict pCR and that combining pathological response and TP53 mutant signature allows for the identification of subgroups with truly poor prognosis.

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TP53标记可以预测新辅助化疗的病理反应,是残留疾病患者的预后因素。
背景:预测TP53突变状态的TP53标记已被证明是新辅助化疗(NAC)反应的预后因素和预测因子。目的:本研究旨在探讨TP53标记在预测残余疾病(RD)患者病理完全缓解(pCR)中的应用及其预后意义。设计:本研究采用回顾性队列研究设计。方法:从接受NAC的her2阴性乳腺癌患者队列中选择T1-3/N0-1患者。利用比值比、阳性预测值和阴性预测值、敏感性和特异性评估pCR预测能力。采用远端无复发生存(DRFS)的Cox比例风险模型探讨RD组的预后因素。采用四个独立队列进行验证。结果:333例符合条件的患者被分为TP53突变型特征(n = 154)和野生型特征(n = 179)。在分子和病理因素中,TP53标记对pCR的预测能力最高。在4个独立队列(n = 151、85、104和67)中,TP53突变特征组的pCR率显著高于野生型组。对RD组DRFS的单因素和多因素分析发现TP53特征和淋巴结状态是独立的预后因素,前者比后者具有更好的风险比。比较三组(pCR组、RD/TP53野生型标记组和RD/TP53突变型标记组)的DRFS, RD/TP53突变型标记组的预后明显差于其他组。与pCR组相比,RD/TP53野生型标记组没有表现出较差的DRFS。结论:我们的研究结果表明,TP53突变特征可以预测pCR,结合病理反应和TP53突变特征可以识别真正预后不良的亚群。
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来源期刊
CiteScore
5.10
自引率
3.40%
发文量
22
审稿时长
8 weeks
期刊介绍: Breast Cancer: Basic and Clinical Research is an international, open access, peer-reviewed, journal which considers manuscripts on all areas of breast cancer research and treatment. We welcome original research, short notes, case studies and review articles related to breast cancer-related research. Specific areas of interest include, but are not limited to, breast cancer sub types, pathobiology, metastasis, genetics and epigenetics, mammary gland biology, breast cancer models, prevention, detection, therapy and clinical interventions, and epidemiology and population genetics.
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