Literature DB >> 26323906

Molecular markers' progress of breast cancer treatment efficacy.

Dan Wang, Jingwei Xu, Guang Shi, Guanghao Yin1.   

Abstract

Breast cancer is a famous malignant tumor which is caused by varieties of mutation in multiple genes. In order to detect breast cancer in an earlier time and take appropriate treatment which includes  predicting treatment efficacy, we need a more accurate method of discovering the occurrence of breast cancer. With the development of molecular biology and biological detection technologies continue to emerge, molecular markers of breast cancer have gaining more and more widespread attention, and combining with molecular markers of breast cancer in clinical characteristic of individual treatment for breast cancer has become possible. In this paper, we will focus on the advances about molecular markers associated with treatment efficacy in recent years.

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Year:  2015        PMID: 26323906     DOI: 10.4103/0973-1482.163832

Source DB:  PubMed          Journal:  J Cancer Res Ther        ISSN: 1998-4138            Impact factor:   1.805


  2 in total

1.  miR-3646 promotes cell proliferation, migration, and invasion via regulating G2/M transition in human breast cancer cells.

Authors:  Shuang Tao; Yao-Bang Liu; Zhi-Wei Zhou; Bin Lian; Hong Li; Jin-Ping Li; Shu-Feng Zhou
Journal:  Am J Transl Res       Date:  2016-04-15       Impact factor: 4.060

2.  An Ad Hoc Random Initialization Deep Neural Network Architecture for Discriminating Malignant Breast Cancer Lesions in Mammographic Images.

Authors:  Andrea Duggento; Marco Aiello; Carlo Cavaliere; Giuseppe L Cascella; Davide Cascella; Giovanni Conte; Maria Guerrisi; Nicola Toschi
Journal:  Contrast Media Mol Imaging       Date:  2019-05-22       Impact factor: 3.161

  2 in total

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