Evidence map›Paper›PMID 38819439›Full record

ArticleCancer medicine2024

Novel non-invasive molecular signatures for oral cavity cancer, by whole transcriptome and small non-coding RNA sequencing analyses: Predicted association with PI3K/AKT/mTOR pathway.

Dimitra P Vageli, Panagiotis G Doukas, Jeffrey P Townsend, Curtis Pickering, Benjamin L Judson

Abstract read
In one paragraph

Article in Cancer medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Dimitra P VageliYale Larynx Lab, Surgery Otolaryngology, Yale School of Medicine, New Haven, Connecticut, USA.ORCID 0000-0002-9852-5790
Panagiotis G DoukasYale Larynx Lab, Surgery Otolaryngology, Yale School of Medicine, New Haven, Connecticut, USA.ORCID 0000-0001-8050-963X
Jeffrey P TownsendDepartment of Biostatistics, Yale School of Public Health, New Haven, Connecticut, USA.
Curtis PickeringDepartment of Surgery, Division of Otolaryngology, Yale Medical School, New Haven, Connecticut, USA.
Benjamin L JudsonYale Larynx Lab, Surgery Otolaryngology, Yale School of Medicine, New Haven, Connecticut, USA.

Funding

High Performance Computing Instrumentation for the Yale Center for Genome AnalysisS10OD030363 · OD · YALE UNIVERSITY · PI MANE, SHRIKANT M · 2022 to 2022
$1.2M
NIH HHS S10 OD030363
6 · The paper itself

Abstract

introductionIdentification of molecular biomarkers in the saliva and serum of oral cavity cancer patients represents a first step in the development of essential and efficient clinical tools for early detection and post-treatment monitoring. We hypothesized that molecular analyses of paired saliva and serum samples from an individual would likely yield better results than analyses of either serum or saliva alone. MATERIALS AND

methodsWe performed whole-transcriptome and small non-coding RNA sequencing analyses on 32 samples of saliva and serum collected from the same patients with oral squamous cell carcinoma (OSCC) and healthy controls (HC).

resultsWe identified 12 novel saliva and serum miRNAs and a panel of unique miRNA and mRNA signatures, significantly differentially expressed in OSCC patients relative to HC (log2 fold change: 2.6-26.8; DE: 0.02-0.000001). We utilized a combined panel of the 10 top-deregulated miRNAs and mRNAs and evaluated their putative diagnostic potential (>87% sensitivity; 100% specificity), recommending seven of them for further validation. We also identified unique saliva and serum miRNAs associated with OSCC and smoking history (OSCC smokers vs. never-smokers or HC: log2 fold change: 22-23; DE: 0.00003-0.000000001). Functional and pathway analyses indicated interactions between the discovered OSCC-related non-invasive miRNAs and mRNAs and their targets, through PI3K/AKT/mTOR signaling.

conclusionOur data support our hypothesis that using paired saliva and serum from the same individuals and deep sequencing analyses can provide unique combined mRNA and miRNA signatures associated with canonical pathways that may have a diagnostic advantage relative to saliva or serum alone and may be useful for clinical testing. We believe this data will contribute to effective preventive care by post-treatment monitoring of patients, as well as suggesting potential targets for therapeutic approaches.

Indexed as

Biomarkers, TumorMicroRNAsMouth NeoplasmsPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktSalivaSignal TransductionTOR Serine-Threonine KinasesAdultAgedCarcinoma, Squamous CellCase-Control StudiesFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansBiomarkers, TumorMicroRNAsMTOR protein, humanPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktRNA, MessengerRNA, Small UntranslatedTOR Serine-Threonine KinasesbiomarkersmiRNAmRNAoral canceroral squamous cell carcinomaPI3K/AKT/mTORsmall non‐coding RNA sequencingwhole transcriptome sequencing

Identifiers

PMID38819439
PMCPMC11141334

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.