Evidence map›Paper›PMID 38477073›Full record

ArticleCancer reports (Hoboken, N.J.)2024

Comparison of mutation landscapes of pretreatment versus recurrent squamous cell carcinoma of the oral cavity: The possible mechanism of resistance to standard treatment.

Tongchai Payungwong, Krittaya Angkulkrerkkrai, Amphun Chaiboonchoe, Wirote Lausoontornsiri, Siwanon Jirawatnotai, Somjin Chindavijak

Open access · goldAbstract read
In one paragraph

Article in Cancer reports (Hoboken, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.3field-weighted citation impact, top 13% of its field
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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

6 authors at 3 institutions in 1 country.

Tongchai PayungwongSiriraj Center of Research Excellence in Systems Pharmacology, Department of Pharmacology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.ORCID 0009-0003-2170-9676
Krittaya AngkulkrerkkraiCenter of Excellence of Otolaryngology Head and Neck Surgery, Rajavithi Hospital, Bangkok, Thailand.
Amphun ChaiboonchoeSiriraj Center of Research Excellence in Systems Pharmacology, Department of Pharmacology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.ORCID 0000-0002-0009-0806
Wirote LausoontornsiriMedical Oncology, Samitivej Hospital, Bangkok, Thailand.
Siwanon JirawatnotaiSiriraj Center of Research Excellence in Systems Pharmacology, Department of Pharmacology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.ORCID 0000-0002-8252-3782
Somjin ChindavijakCenter of Excellence of Otolaryngology Head and Neck Surgery, Rajavithi Hospital, Bangkok, Thailand.ORCID 0000-0002-8987-5406
Siriraj Hospital · THRajavithi Hospital · THBangkok Hospital · TH

Funding

Mahidol University (Basic Research Fund: fiscal year 2022)Research Fund to Support Precision Medicine in Cancer, Faculty of Medicine, Siriraj Hospital, Mahidol University, Siriraj, Bangkok Noi, Bangkok, Thailand (the Siriraj Foundation) D003906
6 · The paper itself

Abstract

backgroundA high recurrent rate of oral squamous cell carcinoma (OSCC) is a major concern in head and neck cancer treatment. The study of the genetic mutation landscape in recurrent OSCC may provide information on certain mutations associated with the pathobiology and treatment response of the OSCC.

aimWe investigated the mutation landscape of matched pretreatment and recurrent tumors to understand the influence of genetic mutations on the pathobiology and clinical outcomes in OSCC. METHODS AND

resultsWe sequenced 33 formalin-fixed paraffin-embedded (FFPE) recurrent tumors, primary tumors, and primary tumors before recurrence that matched the recurrent tumors collected from Rajavithi Hospital during 2019-2021. We identified recurrent mutations from these samples by the Oncomine Ion Torrent-based next-generation sequencing on the 517 cancer-associated gene panel. From the results, we found that the most commonly mutated gene in the cohort is a histone methyltransferase KMT2D (54.55%), implicating that aberrance in epigenetic regulation may play a role in oral cancer tumorigenesis. Functional protein association network analysis of the gene frequently mutated in the recurrent tumors showed enrichment of genes that regulate the cancer cell cycle, that is, MRE11A, CDKN2A, and CYLD. This finding was confirmed in the primary-recurring matched pair. We found that recurrent tumors possess a small but recurring group of genes, with presumably the subclonal mutations driving the recurrence of the tumor, suggesting that the recurrent disease originated from a small fraction of the cancer cell that survives standard treatment. These genes were absent in the primary tumor with a good response to the standard treatment. On the other hand, we found an enrichment of DNA repair genes, namely ATR, BRCA1, BRCA2, RAD50, and MUTYH, in nonrecurrent tumors suggesting that the mutations in the DNA repair pathway may at least partially explain the different response to the standard treatment.

conclusionsOur pilot study identified pathways of carcinogenesis in oral cancer and specific gene sets that indicate treatment responses and prognoses in this group of patients.

Indexed as

Carcinoma, Squamous CellHead and Neck NeoplasmsMouth NeoplasmsEpigenesis, GeneticHumansMutationPilot ProjectsSquamous Cell Carcinoma of Head and Neckcancer cell cycleDNA repairepigeneticsmutation landscaperecurrent oral squamous cell carcinoma

Identifiers

PMID38477073
PMCPMC10935893
OpenAlexW4392768454

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.