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Evaluation of immunological characteristics and prognosis in melanoma patients using an endoplasmic reticulum stress-associated signature based on bioinformatic analysis

2022-08-11

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<title>Abstract</title> <p>Purpose: We aimed to develop endoplasmic reticulum (ER) stress-related risk signature to predict the prognosis of melanoma and elucidate the immune characteristics and benefit of immunotherapy in ER-related risk score-defined subgroups of melanoma based on a machine learning algorithm. <h4>Methods:</h4> Based on The Cancer Genome Atlas (TCGA) melanoma dataset (n = 471) and GTEx database...

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Literature Corpus work
cf8746fc-2d2d-5c41-9f05-1b1d4040bcbc
DOI
10.21203/rs.3.rs-1866564/v1
Open publication

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Evaluation of immunological characteristics and prognosis in melanoma patients using an endoplasmic reticulum stress-associated signature based on bioinformatic analysisDOI 10.21203/rs.3.rs-1866564/v1
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