Back to search

Article

Differential Gene -Based Predictors of Neoadjuvant Chemotherapy Efficacy in Breast Cancer

2021-11-09

Abstract excerpt

<title>Abstract</title> <p>Background and objectiveChemotherapy is the most common treatment in breast cancer , and neoadjuvant chemotherapy (NAC) is wildly used because of it’s efficiency and safety. To identify significantly differentially expressed genes and select the most suitable breast cancer patients for neoadjuvant chemotherapy (NAC) before treatment. MethodsWe collected a total of 60 breast cancer patie...

Topics

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

Identifiers and source

Literature Corpus work
a0b6addf-2155-50a0-99a7-e5f79d88f419
DOI
10.21203/rs.3.rs-1032152/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.
Differential Gene -Based Predictors of Neoadjuvant Chemotherapy Efficacy in Breast CancerDOI 10.21203/rs.3.rs-1032152/v1
A novel twelve-gene signature to evaluate neoadjuvant chemotherapy response and predict prognosis in breast cancerSemantic proximity
Identifying Hub Genes Associated with Neoadjuvant Chemotherapy Resistance in Breast Cancer and Potential Drug Repurposing for the Development of Precision MedicineSemantic proximity
A three lncRNA set: AC009975.1, POTEH-AS1 and AL390243.1 as nodal efficacy biomarker of neoadjuvant therapy for HER-2 positive breast cancerSemantic proximity
Prediction of breast cancer proteins using molecular descriptors and artificial neural networks: a focus on cancer immunotherapy proteins, metastasis driver proteins, and RNA-binding proteinsSemantic proximity
Identification and validation of prognostic signature for breast cancer based on genes potentially involved in autophagySemantic proximity
Analysis of differential gene expression profile identifies novel biomarkers for breast cancerSemantic proximity
Novel biomarkers and prediction model for the pathological complete response to neoadjuvant treatment of triple-negative breast cancerSemantic proximity
Machine learning models based on immunological genes to predict the response to neoadjuvant therapy in breast cancer patientsSemantic proximity
A novel gene signature to predict response to neoadjuvant chemotherapy and endocrine treatment in estrogen receptor-positive breast cancer patientsSemantic proximity
Construction and Validation of a Prognostic Risk Model for Triple Negative Breast Cancer Based on Autophagy-Related GenesSemantic proximity
Five crucial prognostic-related autophagy genes stratified female breast cancer patients aged 40-60 yearsSemantic proximity
Identification of Candidate Genes in Early-Stage Invasive Ductal Carcinoma Patients with High-Risk Mortality using 32 Genes Commonly Involved in Breast Cancer: A Retrospective StudySemantic proximity
Select a neighboring publication to make it the new centre.