血清拉曼光谱：口腔癌的预后应用。
Serum Raman spectroscopy: Prognostic applications in oral cancers.
机构信息
Tata Memorial Centre, Advanced Centre for Treatment, Education and Research in Cancer, Navi Mumbai, Maharashtra, India.
Training School Complex, Homi Bhabha National Institute, Anushakti Nagar, Maharashtra, India.
出版信息
Head Neck. 2023 May;45(5):1244-1254. doi: 10.1002/hed.27338. Epub 2023 Mar 15.
BACKGROUND
Loco-regional recurrences attributable to field cancerization and minimal residual cancer, remain prime causes of mortality in oral cancer (OC) subjects. The current study evaluates potential of serum Raman spectroscopy (SRS) to identify recurrence-prone OC subjects.
METHODS
Raman spectra of serum from eight healthy subjects (H) and 57 OC subjects (with-recurrence [R], without-recurrence [NR], and with suspicious-lesions [S]), before (BS) and after (AS) surgical excision of tumor were recorded. OC subjects were followed-up for 7-years.
RESULTS
DNA and protein alterations were observed in AS sera of all groups. 4-, 3-, and 2-model multivariate analyses were used to stratify BS and AS groups. H spectra were 100% distinguishable from all other groups. AS, R and NR were distinguished with high accuracy (84%) in all models. No stratification (~50%) was observed BS.
CONCLUSION
SRS shows potential to identify recurrence prone subjects, post-surgery, using serum collected as early as 1 week after surgery.
背景
归因于局部区域癌变和微残留癌的局部复发，仍然是口腔癌（OC）患者死亡的主要原因。本研究评估了血清 Raman 光谱（SRS）识别易复发 OC 患者的潜力。
方法
记录了 8 名健康受试者（H）和 57 名 OC 受试者（有复发[R]、无复发[NR]和可疑病变[S]）手术切除肿瘤前后（BS 和 AS）的血清 Raman 光谱。OC 患者接受了 7 年的随访。
结果
所有组的 AS 血清中均观察到 DNA 和蛋白质的改变。使用 4-、3-和 2 模型多元分析对 BS 和 AS 组进行分层。H 谱在所有模型中均能 100%与其他所有组区分开来。在所有模型中，AS、R 和 NR 都能以较高的准确率（84%）进行区分。BS 无分层（约 50%）。
结论
SRS 显示出在手术后 1 周内即可使用血清进行识别易复发患者的潜力。
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