Saproo Sheetanshu, Sarkar Shashanka S, Gautam Vishakha, Konyak Chingmei W, Dass Gouri, Karmakar Arpita, Sharma Mansi, Ahuja Gaurav, Gupta Anand, Tayal Juhi, Mehta Anurag, Naidu Srivatsava
Department of Biomedical Engineering, Indian Institute of Technology Ropar, Rupnagar, Punjab, India.
Department of Computational Biology, Indraprastha Institute of Information Technology- Delhi (IIIT-Delhi), New Delhi, India.
Front Mol Biosci. 2023 Jan 10;9:1106963. doi: 10.3389/fmolb.2022.1106963. eCollection 2022.
Oral squamous cell carcinoma (OSCC) is the second leading cause of cancer-related morbidity and mortality in India. Tobacco, alcohol, poor oral hygiene, and socio-economic factors remain causative for this high prevalence. Identification of non-invasive diagnostic markers tailored for Indian population can facilitate mass screening to reduce overall disease burden. Saliva offers non-invasive sampling and hosts a plethora of markers for OSCC diagnosis. Here, to capture the OSCC-specific salivary RNA markers suitable for Indian population, we performed RNA-sequencing of saliva from OSCC patients ( = 9) and normal controls ( = 5). Differential gene expression analysis detected an array of salivary RNAs including mRNAs, long non-coding RNAs, transfer-RNAs, and microRNAs specific to OSCC. Computational analysis and functional predictions identified protein kinase c alpha (PRKCA), miR-6087, miR-449b-5p, miR-3656, miR-326, miR-146b-5p, and miR-497-5p as potential salivary indicators of OSCC. Notably, higher expression of PRKCA, miR-6087 and miR-449b-5p were found to be associated with therapeutic resistance and poor survival, indicating their prognostic potential. In addition, sequencing reads that did not map to the human genome, showed alignments with microbial reference genomes. Metagenomic and statistical analysis of these microbial reads revealed a remarkable microbial dysbiosis between OSCC patients and normal controls. Moreover, the differentially abundant microbial taxa showed a significant association with tumor promoting pathways including inflammation and oxidative stress. Summarily, we provide an integrated landscape of OSCC-specific salivary RNAs relevant to Indian population which can be instrumental in devising non-invasive diagnostics for OSCC.
口腔鳞状细胞癌(OSCC)是印度癌症相关发病率和死亡率的第二大原因。烟草、酒精、口腔卫生不良和社会经济因素仍然是这种高发病率的病因。识别针对印度人群定制的非侵入性诊断标志物有助于进行大规模筛查,以减轻整体疾病负担。唾液提供了非侵入性采样,并且含有大量用于OSCC诊断的标志物。在这里,为了捕捉适合印度人群的OSCC特异性唾液RNA标志物,我们对OSCC患者(n = 9)和正常对照(n = 5)的唾液进行了RNA测序。差异基因表达分析检测到一系列唾液RNA,包括OSCC特异性的信使RNA、长链非编码RNA、转运RNA和微小RNA。计算分析和功能预测确定蛋白激酶Cα(PRKCA)、miR-6087、miR-449b-5p、miR-3656、miR-326、miR-146b-5p和miR-497-5p为OSCC的潜在唾液指标。值得注意的是,发现PRKCA、miR-6087和miR-449b-5p的高表达与治疗耐药性和不良生存率相关,表明它们具有预后潜力。此外,未映射到人类基因组的测序读数显示与微生物参考基因组有比对。对这些微生物读数的宏基因组和统计分析揭示了OSCC患者和正常对照之间明显的微生物失调。此外,差异丰富的微生物分类群与包括炎症和氧化应激在内的肿瘤促进途径显示出显著关联。总之,我们提供了与印度人群相关的OSCC特异性唾液RNA的综合概况,这有助于设计OSCC的非侵入性诊断方法。