Cross-cancer transcriptomic integration identifies a core immune-signaling network in hormone-driven malignancies.

3区 生物学 Q1 Biochemistry, Genetics and Molecular Biology
Prasanna Kumar Selvam, Supraja Mohan, Karthick Vasudevan
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引用次数: 0

Abstract

Hormone-dependent malignancies, including breast, ovarian, thyroid, and prostate cancers, are driven by dysregulated endocrine signaling but exhibit marked heterogeneity in molecular architecture and therapeutic response. Whether these cancers share conserved transcriptional programs that transcend tissue-of-origin remains incompletely understood. In this study, we applied a systematic, direction-aware transcriptomic framework to identify shared gene expression signatures across hormone-driven malignancies using RNA-sequencing data with matched non-malignant controls. Differential expression analysis was performed independently for each cancer type using DESeq2, identifying 15,648 significant differentially expressed genes (DEGs). Integration of DEGs across cancers using a presence-direction matrix revealed limited universal overlap, with only one gene shared across all four cancers. Leave-one-out sensitivity analysis demonstrated that prostate cancer exhibited reduced transcriptional concordance relative to other malignancies. Exclusion of prostate cancer resulted in the highest overlap and direction-consistent dysregulation, identifying 10,948 shared DEGs across breast, ovarian, and thyroid cancers, including 1043 genes with consistent regulatory direction. Restriction to genes common to all three retained cancers defined a core pan-hormone transcriptional signature comprising 270 genes. These genes were prioritized using a composite statistical score integrating mean absolute log2 fold change and Fisher-combined adjusted p-values across cancers. Functional enrichment analysis of the top 100 ranked genes using g:Profiler revealed significant enrichment of immune-related biological processes, cytokine signaling, membrane-associated signal transduction, and protein-protein interaction functions. Collectively, this study identifies a conserved immune-signaling-centric transcriptional program shared across breast, ovarian, and thyroid cancers.

跨癌转录组整合识别激素驱动恶性肿瘤的核心免疫信号网络。
激素依赖性恶性肿瘤,包括乳腺癌、卵巢癌、甲状腺癌和前列腺癌,是由内分泌信号失调驱动的,但在分子结构和治疗反应上表现出明显的异质性。这些癌症是否共享超越组织起源的保守转录程序仍不完全清楚。在这项研究中,我们应用了一个系统的、方向感知的转录组学框架,利用rna测序数据和匹配的非恶性对照,识别激素驱动型恶性肿瘤的共享基因表达特征。使用DESeq2对每种癌症类型独立进行差异表达分析,鉴定出15,648个显著差异表达基因(DEGs)。利用存在方向矩阵对不同癌症的deg进行整合,发现有限的普遍重叠,在所有四种癌症中只有一个基因共享。留一敏感性分析表明,前列腺癌相对于其他恶性肿瘤表现出较低的转录一致性。排除前列腺癌导致最高的重叠和方向一致的失调,在乳腺癌、卵巢癌和甲状腺癌中确定了10,948个共享deg,其中包括1043个具有一致调控方向的基因。限制所有三种保留的癌症共有的基因定义了包含270个基因的核心泛激素转录特征。使用综合统计评分将这些基因的平均绝对对数2倍变化和fisher组合校正p值整合在一起,对这些基因进行优先排序。使用g:Profiler对排名前100位的基因进行功能富集分析,发现免疫相关生物过程、细胞因子信号传导、膜相关信号转导和蛋白-蛋白相互作用功能显著富集。总的来说,本研究确定了一个保守的免疫信号中心转录程序,在乳腺癌、卵巢癌和甲状腺癌中共享。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Advances in protein chemistry and structural biology
Advances in protein chemistry and structural biology BIOCHEMISTRY & MOLECULAR BIOLOGY-
CiteScore
7.40
自引率
0.00%
发文量
66
审稿时长
>12 weeks
期刊介绍: Published continuously since 1944, The Advances in Protein Chemistry and Structural Biology series has been the essential resource for protein chemists. Each volume brings forth new information about protocols and analysis of proteins. Each thematically organized volume is guest edited by leading experts in a broad range of protein-related topics.
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