Literature DB >> 23468257

New prognostic factors in breast cancer.

Adam Adam Maciejczyk.   

Abstract

For many years, the age of the patient, the condition of axillar lymph nodes, the size of the tumour, histological traits (in particular histological grade of malignancy and invasion of lymphatic vessels), condition of hormonal receptors and HER2 represented principal factors used for the stratification of breast cancer patients for the purposes of evaluating the prognosis and determining the appropriate strategy of treatment. Although the variables are useful for the prognostic evaluation of individual groups of breast cancer patients, their role in determining the individual risk level of the patient and in the selection of supplementary treatment is quite restricted. This article shows the prognostic value of additional parameters, whose expression is associated with chemioresistance (MRP2, BCRP, YB1) or individual assessment of the dynamics of tumor progression (S100P, BUBR1). In addition, it describes the role of an online database of "The Kaplan-Meier plotter" which contains the assessment of the effects of expression of various genes on the clinical outcome of patients with breast cancer.

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Year:  2013        PMID: 23468257

Source DB:  PubMed          Journal:  Adv Clin Exp Med        ISSN: 1899-5276            Impact factor:   1.727


  22 in total

1.  Distinct prognostic values of ALDH1 isoenzymes in breast cancer.

Authors:  Shaokun Wu; Weiping Xue; Xiaobo Huang; Xiaoli Yu; Ming Luo; Ying Huang; Yimin Liu; Zhuofei Bi; Xingsheng Qiu; Shoumin Bai
Journal:  Tumour Biol       Date:  2015-01-13

2.  Study of angiogenesis in invasive breast carcinoma by morphometry and immunohistochemistry.

Authors:  J K Bhatia; Tripta Chaudhary; Dibyajyoti Boruah; Reena Bharadwaj
Journal:  Med J Armed Forces India       Date:  2021-12-16

3.  Prognostic values of Notch receptors in breast cancer.

Authors:  Junming Xu; Fangbin Song; Tao Jin; Jun Qin; Junyi Wu; Min Wang; Ye Wang; Jun Liu
Journal:  Tumour Biol       Date:  2015-09-01

4.  Loss of WAVE3 sensitizes triple-negative breast cancers to chemotherapeutics by inhibiting the STAT-HIF-1α-mediated angiogenesis.

Authors:  Gangarao Davuluri; William P Schiemann; Edward F Plow; Khalid Sossey-Alaoui
Journal:  JAKSTAT       Date:  2015-02-03

5.  Distinct prognostic values of four-Notch-receptor mRNA expression in ovarian cancer.

Authors:  Xinling Zhou; Lingling Teng; Min Wang
Journal:  Tumour Biol       Date:  2015-12-12

Review 6.  The life and works of S100P - from conception to cancer.

Authors:  Filip Prica; Tomasz Radon; Yuzhu Cheng; Tatjana Crnogorac-Jurcevic
Journal:  Am J Cancer Res       Date:  2016-01-15       Impact factor: 6.166

7.  SNPs within microRNA binding sites and the prognosis of breast cancer.

Authors:  Liwen Zhang; Lu Han; Yubei Huang; Ziwei Feng; Xin Wang; Haixin Li; Fangfang Song; Luyang Liu; Junxian Li; Hong Zheng; Peishan Wang; Fengju Song; Kexin Chen
Journal:  Aging (Albany NY)       Date:  2021-02-26       Impact factor: 5.682

8.  TFPI1 mediates resistance to doxorubicin in breast cancer cells by inducing a hypoxic-like response.

Authors:  Gerald F Davies; Arnie Berg; Spike D L Postnikoff; Heather L Wilson; Terra G Arnason; Anthony Kusalik; Troy A A Harkness
Journal:  PLoS One       Date:  2014-01-28       Impact factor: 3.240

9.  Distinct prognostic values and potential drug targets of ALDH1 isoenzymes in non-small-cell lung cancer.

Authors:  Qinghua You; Huanchen Guo; Dongxiang Xu
Journal:  Drug Des Devel Ther       Date:  2015-09-03       Impact factor: 4.162

10.  High-infiltration of tumor-associated macrophages predicts unfavorable clinical outcome for node-negative breast cancer.

Authors:  Yue Zhang; Shaoqiang Cheng; Mingyan Zhang; Lina Zhen; Da Pang; Qingyuan Zhang; Zhigao Li
Journal:  PLoS One       Date:  2013-09-30       Impact factor: 3.240

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