Department of Research, Sir Ganga Ram Hospital, New Rajinder Nagar, Delhi, India.
Amity Institute of Biotechnology, Amity University, Noida, Uttar Pradesh, India.
Arch Microbiol. 2022 May 26;204(6):348. doi: 10.1007/s00203-022-02954-2.
Human microbiome studies have shown diversity to exist among different ethnic populations. However, studies pertaining to the microbial composition of CRC among the Indian population have not been well explored. We aimed to decipher the microbial signature in tumor tissues from North Indian CRC patients. Next-generation sequencing of tumor and adjacent tissue-derived bacterial 16S rRNA V3-V4 hypervariable regions was performed to investigate the abundance of specific microbes. The expression profile analysis deciphered a decreased diversity among the tumor-associated microbial communities. At the phyla level, Proteobacteria was differentially expressed in CRC tissues than adjacent normal. Further, DeSeq2 normalization identified 4 out of 79 distinct species (p < 0.005) only in CRC, Bacteroides massiliensis, Alistipes onderdonkii, Bifidobacterium pseudocatenulatum, and Corynebacterium appendicis. Thus, the findings suggest that microbial signatures can be used as putative biomarkers in diagnosis, prognosis and treatment management of CRC.
人类微生物组研究表明，不同种族群体之间存在多样性。然而，有关印度人群 CRC 中微生物组成的研究尚未得到充分探索。我们旨在破译来自印度北部 CRC 患者肿瘤组织中的微生物特征。对肿瘤和邻近组织衍生的细菌 16S rRNA V3-V4 高变区进行下一代测序，以研究特定微生物的丰度。表达谱分析揭示了肿瘤相关微生物群落之间多样性的降低。在门水平上，与邻近正常组织相比，CRC 组织中变形菌门的表达存在差异。此外，DeSeq2 标准化仅在 CRC 中鉴定出 79 个独特物种中的 4 个（p<0.005），即拟杆菌属、onderdonkii 拟杆菌、双歧杆菌假链状和棒状杆菌属。因此，这些发现表明微生物特征可以用作 CRC 诊断、预后和治疗管理的潜在生物标志物。
