Molecular pathogenesis of microsatellite instability-high early-stage colorectal adenocarcinoma in India.

Q2 Pharmacology, Toxicology and Pharmaceutics Drug metabolism and personalized therapy Pub Date : 2024-07-24 eCollection Date: 2024-09-01 DOI:10.1515/dmpt-2024-0033
Prasanth Ariyannur, Veena P Menon, Keechilat Pavithran, Roopa R Paulose, Reenu A Joy, Damodaran M Vasudevan
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Abstract

Objectives: The prevalence of microsatellite instability (MSI) subtype among all colon cancers in India is about 30 %, approximately two times more than that of western population suggesting different molecular pathogeneses.

Methods: A NanoString analysis-based Pan cancer differential expression (DE) profile was determined in a primary cohort of early-stage CRC (tumor=10, normal=7), and correlated against MSI status. Using RT-PCR, tumor-specific DE genes were validated in another cohort of MSI-high CRC (n=15).

Results: Among the most differentially expressed genes, AXIN2, ETV4, and RNF43 were tumor cell-specific signals, while a set of genes including COL11A1, COMP, INHBA, SPP1, MMP3, TLR2, and others were immune cell-specific signals, that had a differential expression between MSI and MSS groups. When overlapped with The Cancer Genome Atlas (TCGA) studies using the Tumor immune estimation resource tool (TIMER), and protein-protein interaction analysis by STRING.db, these genes were segregated to representative tumor cells and immune cells. On validation, the tumor-specific gene signals were inversely associated with TLR4 expression.

Conclusions: The differential expression distribution of AXIN2, ETV4, and RNF43 among tumor and immune cells, suggests more than one pathological subset in the MSI-H subgroup of early-stage CRC in the Indian population.

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印度微卫星不稳定性高的早期状态结直肠腺癌的分子发病机制。
目标:印度所有结肠癌中微卫星不稳定性(MSI)亚型的发病率约为 30%,约为西方人群的两倍,这表明存在不同的分子致病因素:方法:在早期 CRC(肿瘤 10 例,正常 7 例)的原始队列中确定了基于 NanoString 分析的泛癌差异表达(DE)图谱,并将其与 MSI 状态相关联。通过 RT-PCR,在另一批 MSI 高的 CRC(n=15)中验证了肿瘤特异性 DE 基因:结果:在差异表达最多的基因中,AXIN2、ETV4和RNF43是肿瘤细胞特异性信号,而包括COL11A1、COMP、INHBA、SPP1、MMP3、TLR2等在内的一系列基因是免疫细胞特异性信号,在MSI组和MSS组之间有差异表达。当使用肿瘤免疫估算资源工具(TIMER)与癌症基因组图谱(TCGA)研究以及STRING.db的蛋白-蛋白相互作用分析重叠时,这些基因被分离到具有代表性的肿瘤细胞和免疫细胞中。经过验证,肿瘤特异性基因信号与 TLR4 表达成反比:结论:AXIN2、ETV4 和 RNF43 在肿瘤细胞和免疫细胞中的不同表达分布表明,印度人群中的早期 CRC MSI-H 亚组中存在多个病理亚组。
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来源期刊
Drug metabolism and personalized therapy
Drug metabolism and personalized therapy Pharmacology, Toxicology and Pharmaceutics-Pharmacology, Toxicology and Pharmaceutics (all)
CiteScore
2.30
自引率
0.00%
发文量
35
期刊介绍: Drug Metabolism and Personalized Therapy (DMPT) is a peer-reviewed journal, and is abstracted/indexed in relevant major Abstracting Services. It provides up-to-date research articles, reviews and opinion papers in the wide field of drug metabolism research, covering established, new and potential drugs, environmentally toxic chemicals, the mechanisms by which drugs may interact with each other and with biological systems, and the pharmacological and toxicological consequences of these interactions and drug metabolism and excretion. Topics: drug metabolizing enzymes, pharmacogenetics and pharmacogenomics, biochemical pharmacology, molecular pathology, clinical pharmacology, pharmacokinetics and drug-drug interactions, immunopharmacology, neuropsychopharmacology.
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