■结直肠癌(CRC)属于在人类中发现的显著恶性肿瘤类别。最近,脂肪酸代谢失调(FAM)因其在癌症中的调节作用而成为人们关注的话题,特别是CRC。然而,CRC中的调节FAM途径需要全面阐明.
■通过癌症基因组图谱(TCGA)-COAD,收集了与结肠腺癌(COAD)和正常基石基因相关的175个脂肪酸代谢基因(FAMG)的临床和基因表达数据。分子特征数据库v7.2(MSigDB)。最初,通过单变量和多变量Cox比例回归分析选择关键的预后基因;然后,根据这些确定的特征基因和临床变量,生成了列线图。最后,评估肿瘤的免疫特性,阐明了肿瘤免疫逃避/风险评分的伴随评估.
■8基因签名,包括ACBD4、ACOX1、CD36、CPT2、ELOVL3、ELOVL6、ENO3和SUCLG2,根据这一点,CRC患者分为高危(H-R)和低危(L-R)队列。此外,风险和基于年龄的列线图表明适度的歧视和良好的校准。数据证实8基因模型有效地预测CRC患者的预后。此外,根据肿瘤免疫逃避和风险评分的联合分析,H-R队列有免疫抑制的肿瘤微环境,导致了不符合标准的预后.
■这项研究建立了基于FAMGs的预后模型,具有很高的预测价值,为改善CRC个体的个体化治疗提供了可能性。
UNASSIGNED: Colorectal cancer (CRC) belongs to the class of significantly malignant tumors found in humans. Recently, dysregulated fatty acid metabolism (FAM) has been a topic of attention due to its modulation in cancer, specifically CRC. However, the regulatory FAM pathways in CRC require comprehensive elucidation.
UNASSIGNED: The clinical and gene expression data of 175 fatty acid metabolic genes (FAMGs) linked with colon adenocarcinoma (COAD) and normal cornerstone genes were gathered through The Cancer Genome Atlas (TCGA)-COAD corroborating with the Molecular Signature Database v7.2 (MSigDB). Initially, crucial prognostic genes were selected by uni- and multi-variate Cox proportional regression analyses; then, depending upon these identified signature genes and clinical variables, a nomogram was generated. Lastly, to assess tumor immune characteristics, concomitant evaluation of tumor immune evasion/risk scoring were elucidated.
UNASSIGNED: A 8-gene signature, including ACBD4, ACOX1, CD36, CPT2, ELOVL3, ELOVL6, ENO3, and SUCLG2, was generated, and depending upon this, CRC patients were categorized within high-risk (H-R) and low-risk (L-R) cohorts. Furthermore, risk and age-based nomograms indicated moderate discrimination and good calibration. The data confirmed that the 8-gene model efficiently predicted CRC patients\' prognosis. Moreover, according to the conjoint analysis of tumor immune evasion and the risk scorings, the H-R cohort had an immunosuppressive tumor microenvironment, which caused a substandard prognosis.
UNASSIGNED: This investigation established a FAMGs-based prognostic model with substantially high predictive value, providing the possibility for improved individualized treatment for CRC individuals.