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Predictive nomogram of Survival in Breast Cancer Patients Combining Expression Profiles of Long Non-Coding RNAs and Clinical Factors

2023-08-05

Abstract excerpt

<h4>Objective: </h4> Current prognosis prediction models for breast cancer (BC) are mostly based on clinical factors and immunohistochemical indicators, or simply based on certain gene levels, with certain limitations. We attempted to develop a predictive model based on the molecular biology characteristics of long non-coding RNA (lncRNA) combined with clinical factors. <h4>Methods: </h4> Using the Cancer Genome...

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Literature Corpus work
0d972a4d-4bc3-59cb-8383-b0d599b8000b
DOI
10.21203/rs.3.rs-3218063/v1
Open publication

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Predictive nomogram of Survival in Breast Cancer Patients Combining Expression Profiles of Long Non-Coding RNAs and Clinical FactorsDOI 10.21203/rs.3.rs-3218063/v1
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