Evidence map›Paper›PMID 32613323›Full record

ReviewHNO2020

[Prognostic and predictive methylation biomarkers in HNSCC : Epigenomic diagnostics for head and neck squamous cell carcinoma (HNSCC)].

A Franzen, F Bootz, D Dietrich

Abstract readReview
PubMed Publisher
In one paragraph

Review in HNO, 2020. 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
0.3field-weighted citation impact, top 46% 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, 3 citations in OpenAlex.

  1. Article
  2. Review
  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

3 authors at 2 institutions in 1 country.

A FranzenKlinik und Poliklinik für Hals-Nasen-Ohrenheilkunde, Universitätsklinikum Bonn, Venusberg-Campus 1, 53127, Bonn, Deutschland.
F BootzKlinik und Poliklinik für Hals-Nasen-Ohrenheilkunde, Universitätsklinikum Bonn, Venusberg-Campus 1, 53127, Bonn, Deutschland.
D DietrichKlinik und Poliklinik für Hals-Nasen-Ohrenheilkunde, Universitätsklinikum Bonn, Venusberg-Campus 1, 53127, Bonn, Deutschland. Dimo.Dietrich@ukbonn.de.
Klinik und Poliklinik für Hals-, Nasen-, Ohrenheilkunde · DEUniversity Hospital Bonn · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrognostic and predictive biomarkers for personalized treatment management in head and neck squamous cell carcinoma (HNSCC) are of great clinical interest.

objectiveDNA methylation is an epigenetic process involved in gene regulation and could be a source of potential prognostic and predictive biomarkers.

methodsThis study comprises literature research in PubMed and own studies.

resultsGene methylation, e.g. of PITX2, is a strong, human papillomavirus (HPV)-independent prognostic biomarker. SHOX2 and SEPT9 methylation in circulating cell-free DNA within blood plasma correlates with tumor stage and prognosis. Methylation of diverse immune checkpoints, e.g., PD‑1, PD-L1, and CTLA4, is also prognostic and correlates with gene expression.

conclusionDNA methylation is a source of efficient prognostic blood plasma- and tissue-based biomarkers. However, prior to clinical implementation, studies must prove that biomarker-guided treatment selection can lead to better outcomes or reduced toxicity. The applicability of DNA methylation as a predictive biomarker for targeted drug-based cancer therapy seems promising, although further validation is needed.

Indexed as

Carcinoma, Squamous CellHead and Neck NeoplasmsBiomarkers, TumorDNA MethylationEpigenomicsHomeodomain ProteinsHumansPrognosisSquamous Cell Carcinoma of Head and NeckBiomarkers, TumorHomeodomain ProteinsSHOX2 protein, humanDNA methylationEpigeneticsImmune CheckpointImmunotherapyPITX2

Identifiers

PMID32613323
OpenAlexW3038942370

What OpenQuestion holds

Textmetadata
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.