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DNA Methylation Markers from Negative Surgical Margins Can Predict Recurrence of Oral Squamous Cell Carcinoma.

ABSTRACT: The identification of molecular markers in negative surgical margins of oral squamous cell carcinoma (OSCC) might help in identifying residual molecular aberrations, and potentially improve the prediction of prognosis. We performed an Infinium MethylationEPIC BeadChip array on 32 negative surgical margins stratified based on the status of tumor recurrence in order to identify recurrence-specific aberrant DNA methylation (DNAme) markers. We identified 2512 recurrence-associated Differentially Methylated Positions (DMPs) and 392 Differentially Methylated Regions (DMRs) which were enriched in cell signaling and cancer-related pathways. A set of 14-CpG markers was able to discriminate recurrent and non-recurrent cases with high specificity and sensitivity rates (AUC 0.98, p = 3 × 10^-6; CI: 0.95-1). A risk score based on the 14-CpG marker panel was applied, with cases classified within higher risk scores exhibiting poorer survival. The results were replicated using tumor-adjacent normal HNSCC samples from The Cancer Genome Atlas (TCGA). We identified residual DNAme aberrations in the negative surgical margins of OSCC patients, which could be informative for patient management by improving therapeutic intervention. This study proposes a novel DNAme-based 14-CpG marker panel as a promising predictor for tumor recurrence, which might contribute to improved decision-making for the personalized treatment of OSCC cases.

SUBMITTER: Sorroche BP

PROVIDER: S-EPMC8230600 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:The aim of this study is to provide an extended, retrospective validation of a previously described 4-gene signature (MMP1, COL4A1, P4HA2, and THBS2) predictive of oral carcinoma recurrence. We assessed an independent cohort including 245 histologically normal surgical margins from 62 patients with OSCC. Gene expression was determined using a color-coded probe assay for quantitative gene expression analysis. All margins and tumor blocks were cut (4-5µm tick) and stained with Hematoxylin-Eosin and tissues were subjected to needle microdissection using the stereo microscope Leica EZ4 (Leica Microsystems, Wetzlar, Germany) before RNA extraction, in order to isolate pure tumor or normal cell populations. RNA from FFPE samples was isolated using the RecoverAll Total Nucleic Acid Isolation kit (Ambion/Life Technologies, Carlsbad, CA, USA), following our previously reported protocol with modifications to improve RNA yield [PMID:23835716]. RNA was stored at -80ºC until RNA extraction and gene expression validation⁠. In addition, tumor tissues from the same patients were collected for further analysis (not in scope of the presented study). Probes were designed for the 4-gene signature (MMP1, COL4A1, P4HA2 and THBS2) and contained one capture probe linked to biotin and one reporter probe attached to a color-coded molecular tag for each gene sequence, according to the nCounterTM code-set design. RNA samples were randomized using a numerical ID and were then subjected to NanoString nCounterTM analysis by the Princess Margaret Genomics Centre (https://www.pmgenomics.ca), Toronto, ON, Canada. Patient samples were analyzed in two batches consisting of 125 and 152 margins tissue samples. The detailed protocol for mRNA transcript quantification analysis, including sample preparation, hybridization, detection and scanning followed the manufacturer’s recommendations and was described in [PMID: 21549012]. We used 400 ng of total RNA isolated from FFPE tissues for detection of probe signals. Raw data were analyzed using the nCounterTM digital analyzer software (http://www.nanostring.com/support/ncounter/) and gene expression levels were subjected to further bioinformatic and statistical analyses.

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DNA Methylation Markers from Negative Surgical Margins Can Predict Recurrence of Oral Squamous Cell Carcinoma.

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