Robotics & Machine Learning Daily News2024,Issue(Jun.6) :35-35.

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)

中山大学第七附属医院报告皮肤黑色素瘤的发现(机器学习衍生免疫老化指数预测皮肤黑色素瘤患者的预后和药物敏感性)

Robotics & Machine Learning Daily News2024,Issue(Jun.6) :35-35.

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)

中山大学第七附属医院报告皮肤黑色素瘤的发现(机器学习衍生免疫老化指数预测皮肤黑色素瘤患者的预后和药物敏感性)

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摘要

由一名新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-肿瘤学的新研究-皮肤恶性肿瘤是一篇报道的主题。根据NewsRx记者从中国广东发来的新闻报道,研究表明:“免疫衰老的功能与皮肤黑色素瘤(SKCM)密切相关。本研究的目的是揭示免疫衰老指数(ISI)的特征,以确定新的生物标志物和潜在的治疗靶点。”新闻记者引用了中山大学第七附属医院的一篇研究文章:“首先,对危险预后基因进行综合生物信息学分析,并对它们的表达和预后价值进行评估,然后用计算算法估计ISI,最后,将ISI作为预测因子。”应用多组学分析技术分析ISI在SKCM中的分布特点及临床意义,ISI低的患者有较好的生存率、较低的染色体不稳定性、较低的体细胞拷贝数改变、较低的体细胞突变、较高的免疫浸润和对免疫治疗敏感,ISI具有较强的鲁棒性,并在多个数据集中得到验证。在预测SKCM患者的生存结局方面,ISI比其他已发表的信号更有效。单细胞分析显示,ED较高的ISI在单核细胞中特异性表达,并与SKCM中单核细胞的分化命运相关。此外,表现出ED ISI水平升高的个体可能从化疗中获得优势,提示有可能靶向高ISI的化合物被认识到。

Abstract

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.”

Key words

Guangdong/People’s Republic of China/A sia/Cancer/Cutaneous Melanoma/Cyborgs/Drugs and Therapies/Emerging Technolo gies/Genetics/Health and Medicine/Immunology/Immunotherapy/Machine Learning/Oncology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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