Back to search

Article

The precise chemotherapy guided by the expression of ERCC1, RRM1, TUBB3, TYMS and TOP2A genes versus the classic chemotherapy in the treatment of breast cancer: a comparative effectiveness research

2019-11-26

Abstract excerpt

<title>Abstract</title> <p>Objective: ERCC1, RRM1, TUBB3, TYMS and TOP2A gene have been shown to be associated with chemotherapeutic drug resistance. And the aim of the present study was to evaluate the guiding significance of the above genes expression in the selection of precise chemotherapy regimen for breast cancer. <h4>Methods:</h4> 140 well-matched patients with breast cancer, including 70 from the precise...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
1cc2e4cf-01f5-5185-b89d-fc7477aaae51
DOI
10.21203/rs.2.17901/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
The precise chemotherapy guided by the expression of ERCC1, RRM1, TUBB3, TYMS and TOP2A genes versus the classic chemotherapy in the treatment of breast cancer: a comparative effectiveness researchDOI 10.21203/rs.2.17901/v1
Transcriptomic Analysis of Breast Cancer Patients Sensitive and Resistant to Chemotherapy: Looking for Overall Survival and Drug Resistance BiomarkersSemantic proximity
Transcriptomic analysis of breast cancer patients sensitive and resistant to chemotherapy: Looking for overall survival and drug resistance biomarkersSemantic proximity
A bioinformatics approach for precision medicine off-label drug drug selection among triple negative breast cancer patientsSemantic proximity
IRSN-23 Gene Diagnosis Predicts Response to Neoadjuvant Chemotherapy and Refines Breast Cancer Subtype Classification (Prospective Analyses)Semantic proximity
Predicting Outcomes of Hormone and Chemotherapy in the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) Study by Biochemically-inspired Machine LearningSemantic proximity
Novel biomarkers and prediction model for the pathological complete response to neoadjuvant treatment of triple-negative breast cancerSemantic proximity
Machine Learning for Predicting and Maximizing the Response of Breast Cancer Patients to Neoadjuvant TherapySemantic proximity
Bioinformatic Analysis of Peripheral Blood miRNA of Breast Cancer Patients in Relation With Anthracycline CardiotoxicitySemantic proximity
[Application value of DNA damage repair variants in adjuvant therapy of triple negative breast cancer].Semantic proximity
Molecular and clinical characterization of CCT2 expression at transcriptional level via 2994 samples of breast cancerSemantic proximity
ABTB2 regulatory variant as predictor of epirubicin-based neoadjuvant chemotherapy in luminal A breast cancerSemantic proximity
Determining the Factors Predicting the Response to Anti-HER2 Therapy in HER2-Positive Breast Cancer PatientsSemantic proximity
Select a neighboring publication to make it the new centre.