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>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

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

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Xenia Elena Bacinschi; Anca Zgura; Inga Safta; Rodica Anghel;
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1. Significance of Tumor-Infiltrating Lymphocytes and the Expression of Topoisomerase II alpha in the Prediction of the Clinical Outcome of Patients with Triple-Negative Breast Cancer after Taxane-Anthracycline-BasedNeoadjuvant Chemotherapy [J] . Rao Nanyan, Qiu Jiayin, Wu Jiannan, Chemotherapy: International Journal of Experimental and Clinical Chemotherapy . 2017,第4期

机译：肿瘤渗透淋巴细胞的意义及拓扑异构酶IIα表达在紫罗兰植物 - 基于纳税植物 - 基于纳税植物中的三阴性乳腺癌患者临床疗效中的预测
2. PITX2 DNA-methylation predicts response to anthracycline-based adjuvant chemotherapy in triple-negative breast cancer patients [J] . Magdalena Absmaier, Rudolf Napieralski, Tibor Schuster, International journal of oncology . 2018,第3期

机译：PITX2 DNA甲基化预测三阴性乳腺癌患者对蒽环类辅助化疗的反应
3. Tumor-Infiltrating Lymphocytes and Response to Neoadjuvant Chemotherapy With or Without Carboplatin in Human Epidermal Growth Factor Receptor 2-Positive and Triple-Negative Primary Breast Cancers [J] . Denkert Carsten, von Minckwitz Gunter, Brase Jan C., Journal of Clinical Oncology . 2015,第9期

机译：人表皮生长因子受体2阳性和三阴性原发性乳腺癌中肿瘤浸润淋巴细胞和有或无卡铂对新辅助化疗的反应。
4. Computer extracted features related to the spatialarrangement of tumor-infiltrating lymphocytes predict overall survival in epithelial ovarian cancer receiving adjuvant chemotherapy [C] . Sepideh Azarianpour, Germán Corredor, Kaustav Bera, Conference on Medical Imaging: Digital Pathology . 2020

机译：计算机提取与空间相关的功能肿瘤浸润淋巴细胞的安排预测上皮性卵巢癌接受佐剂化疗的整体存活
5. The Effects of Adjuvant Chemotherapy on Brain Function in Breast Cancer Patients and a Cancer-Chemotherapy Rodent Model. [D] . Barr, Alicia Thomas. 2014

机译：辅助化疗对乳腺癌患者脑功能的影响和癌症化学疗法的啮齿动物模型。
6. 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-2P53和肿瘤浸润淋巴细胞代表的生物分子因子预测患者患者早期三阴性乳腺癌患者的辅助蒽环类化疗的响应
7. BRCAness as a Biomarker for Predicting Prognosis and Response to Anthracycline-Based Adjuvant Chemotherapy for Patients with Triple-Negative Breast Cancer. [O] . Hitomi Mori, Makoto Kubo, Reiki Nishimura, 2016

机译：BRCaness作为预测三阴性乳腺癌患者蒽环类辅助化疗预后和反应的生物标志物。

>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

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