首页|Seventh Affiliated Hospital of Sun Yat-sen University Reports Findings in Cutane ous Melanoma (Machine learning-derived immunosenescence index for predicting out come and drug sensitivity in patients with skin cutaneous melanoma)
Seventh Affiliated Hospital of Sun Yat-sen University Reports Findings in Cutane ous Melanoma (Machine learning-derived immunosenescence index for predicting out come and drug sensitivity in patients with skin cutaneous melanoma)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Oncology - Cutaneous M elanoma is the subject of a report. According to news reporting from Guangdong, People’s Republic of China, by NewsRx journalists, research stated, “The functio ns of immunosenescence are closely related to skin cutaneous melanoma (SKCM). Th e aim of this study is to uncover the characteristics of immunosenescence index (ISI) to identify novel biomarkers and potential targets for treatment.” The news correspondents obtained a quote from the research from the Seventh Affi liated Hospital of Sun Yat-sen University, “Firstly, integrated bioinformatics a nalysis was carried out to identify risk prognostic genes, and their expression and prognostic value were evaluated. Then, we used the computational algorithm t o estimate ISI. Finally, the distribution characteristics and clinical significa nce of ISI in SKCM by using multi-omics analysis. Patients with a lower ISI had a favorable survival rate, lower chromosomal instability, lower somatic copy-num ber alterations, lower somatic mutations, higher immune infiltration, and sensit ive to immunotherapy. The ISI exhibited robust, which was validated in multiple datasets. Besides, the ISI is more effective than other published signatures in predicting survival outcomes for patients with SKCM. Single-cell analysis reveal ed higher ISI was specifically expressed in monocytes, and correlates with the d ifferentiation fate of monocytes in SKCM. Besides, individuals exhibiting elevat ed ISI levels could potentially receive advantages from chemotherapy, and promis ing compounds with the potential to target high ISI were recognized.”
GuangdongPeople’s Republic of ChinaA siaCancerCutaneous MelanomaCyborgsDrugs and TherapiesEmerging Technolo giesGeneticsHealth and MedicineImmunologyImmunotherapyMachine LearningOncology
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