Stem Cell Biology Lab, Department of Cancer Biology, The Gujarat Cancer & Research Institute, Gujarat, India.
Department of Life Sciences, School of Sciences, Gujarat University, Gujarat, India.
J Oral Pathol Med. 2018 Apr;47(4):345-352. doi: 10.1111/jop.12678. Epub 2018 Feb 15.
Late-stage diagnosis is one of the major confounders for poor prognosis of patients with oral cancer owing to lack of a biomarker to diagnose this disease at an early stage. Moreover, till date, invasive biopsies are the only option to assess disease occurrence and progression in this malignancy. Thus, this study aims to identify and assess potential salivary markers in OSCC patients in order to open newer avenues in the field of non-invasive biopsies.
Bioinformatic-based analysis was performed to identify potential biomarkers that could be assessed in OSCC patients. The expression patterns of CD44v and its genetic and epigenetic modulators were assessed in saliva of OSCC patients, leukoplakia, and controls using real-time and methylation-specific PCR. Statistical analysis was conducted to understand the significance of these markers in terms of their clinical relevance.
CD44v/SYNE1/miR34a axis was identified using bioinformatic analysis, and the expression profile of these markers was assessed in saliva of OSCC patients. CD44v6 and CD44v10 demonstrated a significantly increased expression, whereas SYNE1 and miR34a depicted a significantly decreased expression in OSCC patients. Statistical analysis suggested a probable role of CD44v6, SYNE1, and miR34a in early stages of the malignancy, whereas a strong association was observed between CD44v6, CD44v10, and miR34a expression with locoregional aggressiveness and histopathological conditions.
Collectively, these findings suggested a plausible role of CD44v/SYNE1/miR34a axis as non-invasive salivary biomarkers to diagnose this disease at an early stage and predict the early onset of metastasis.
由于缺乏用于早期诊断这种疾病的生物标志物,晚期诊断是导致口腔癌患者预后不良的主要混杂因素之一。此外,迄今为止,侵入性活检是评估这种恶性肿瘤疾病发生和进展的唯一选择。因此,本研究旨在确定和评估口腔鳞状细胞癌(OSCC)患者中的潜在唾液生物标志物,以期在非侵入性活检领域开辟新途径。
进行基于生物信息学的分析以鉴定可在 OSCC 患者中评估的潜在生物标志物。使用实时和甲基化特异性 PCR 评估 CD44v 及其遗传和表观遗传调节剂在 OSCC 患者、白斑和对照者的唾液中的表达模式。进行统计分析以了解这些标志物在临床相关性方面的意义。
使用生物信息学分析鉴定出 CD44v/SYNE1/miR34a 轴,并且评估了这些标志物在 OSCC 患者唾液中的表达谱。CD44v6 和 CD44v10 表现出明显增加的表达,而 SYNE1 和 miR34a 则在 OSCC 患者中表达明显降低。统计分析表明 CD44v6、SYNE1 和 miR34a 可能在恶性肿瘤的早期阶段发挥作用,而 CD44v6、CD44v10 和 miR34a 的表达与局部侵袭性和组织病理学状况之间存在很强的关联。
总之,这些发现表明 CD44v/SYNE1/miR34a 轴作为非侵入性唾液生物标志物在早期诊断这种疾病和预测早期转移方面具有一定的作用。