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A gene signature to predict high tumor-infiltrating lymphocytes after neoadjuvant chemotherapy and outcome in patients with triple-negative breast cancer

机译：一种基因签名，以预测新辅助化疗后的高肿瘤浸润淋巴细胞和三阴性乳腺癌患者的结果

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C. Criscitiello; M.A. Bayar; G. Curigliano; F.W. Symmans; C. Desmedt; H. Bonnefoi; B. Sinn; G. Pruneri; C. Vicier; J.Y. Pierga; C. Denkert; S. Loibl; C. Sotiriou; S. Michiels; F. André;
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1. A gene signature to predict high tumor-infiltrating lymphocytes after neoadjuvant chemotherapy and outcome in patients with triple-negative breast cancer [J] . CCriscitiello, M ABayar, GCurigliano, Annals of oncology: official journal of the European Society for Medical Oncology . 2018,第1期

机译：基因签名预测新辅助化疗后高肿瘤浸润淋巴细胞和三阴性乳腺癌患者的结果
2. Prognostic and predictive value of NanoString-based immune-related gene signatures in a neoadjuvant setting of triple-negative breast cancer: relationship to tumor-infiltrating lymphocytes [J] . Lee Hee Jin, Lee Jeong-Ju, Song In Hye, Breast cancer research and treatment. . 2015,第3期

机译：基于NanoString的免疫相关基因信号在三阴性乳腺癌新辅助治疗中的预后和预测价值：与肿瘤浸润淋巴细胞的关系
3. Impact of body mass index (BMI) on the predictive and prognostic value of stromal tumor-infiltrating lymphocytes (sTIL) in triple-negative breast cancer (TNBC) patients treated with neoadjuvant chemotherapy (NACT) [J] . Intelligence: A Multidisciplinary Journal . 2020,第期

机译：体重指数（BMI）对新乳腺癌（TNBC）患者的基质肿瘤浸润淋巴细胞（STIL）对新辅助化疗（NACT）治疗（NACT）的预测和预后价值
4. Prediction of Neoadjuvant Chemotherapy Outcome in Breast Cancer Patients [C] . Jose Neves, Almeida Dias, Cristiana Silva, International conference on applied physics, system science and computers . 2019

机译：乳腺癌患者中新辅助化疗结果预测
5. Subgroup analysis based on prognostic and predictive gene signatures for adjuvant chemotherapy in early-stage non-small-cell lung cancer patients [D] . Pluta, Dustin. 2015

机译：基于预后和预测基因特征的亚组分析用于早期非小细胞肺癌患者的辅助化疗
6. A gene signature predicts response to neoadjuvant chemotherapy in triple-negative breast cancer patients [O] . Tianzhi Zheng, Zhiyuan Pang, Zhao Zhao 2019

机译：基因签名预测三阴性乳腺癌患者对新辅助化疗的反应
7. >Biomolecular Factors Represented by Bcl-2, p53, and Tumor-Infiltrating Lymphocytes Predict Response for Adjuvant Anthracycline Chemotherapy in Patients with Early Triple-Negative Breast Cancer [O] . Xenia Elena Bacinschi, Anca Zgura, Inga Safta, 2020

机译：>由Bcl-2，p53和肿瘤浸润淋巴细胞代表的生物分子因子预测辅助蒽环素化疗的响应，患者早期三阴性乳腺癌患者

A gene signature to predict high tumor-infiltrating lymphocytes after neoadjuvant chemotherapy and outcome in patients with triple-negative breast cancer

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