Evidence map›Paper›PMID 37296474›Full record

ArticleClinical epigenetics2023

ATHENA: an independently validated autophagy-related epigenetic prognostic prediction model of head and neck squamous cell carcinoma.

Ziang Xu, Xinlei Chen, Xiaomeng Song, Xinxin Kong, Jiajin Chen, Yunjie Song, Maojie Xue, Lin Qiu, Mingzhu Geng, Changyue Xue and 2 more

Open access · goldAbstract read
In one paragraph

Article in Clinical epigenetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 30% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. 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

12 authors at 1 institution in 1 country.

Ziang Xu *Jiangsu Key Laboratory of Oral Diseases, Nanjing Medical University, 136 Hanzhong Road, Nanjing, 210029, Jiangsu, China.
Xinlei Chen *Jiangsu Key Laboratory of Oral Diseases, Nanjing Medical University, 136 Hanzhong Road, Nanjing, 210029, Jiangsu, China.
Xiaomeng Song *Jiangsu Key Laboratory of Oral Diseases, Nanjing Medical University, 136 Hanzhong Road, Nanjing, 210029, Jiangsu, China.
Xinxin Kong *Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, SPH Building Room 406, 101 Longmian Avenue, Nanjing, 211166, Jiangsu, China.
Jiajin ChenDepartment of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, SPH Building Room 406, 101 Longmian Avenue, Nanjing, 211166, Jiangsu, China.
Yunjie SongDepartment of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, SPH Building Room 406, 101 Longmian Avenue, Nanjing, 211166, Jiangsu, China.
Maojie XueDepartment of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, SPH Building Room 406, 101 Longmian Avenue, Nanjing, 211166, Jiangsu, China.
Lin QiuJiangsu Key Laboratory of Oral Diseases, Nanjing Medical University, 136 Hanzhong Road, Nanjing, 210029, Jiangsu, China.
Mingzhu GengJiangsu Key Laboratory of Oral Diseases, Nanjing Medical University, 136 Hanzhong Road, Nanjing, 210029, Jiangsu, China.
Changyue XueJiangsu Key Laboratory of Oral Diseases, Nanjing Medical University, 136 Hanzhong Road, Nanjing, 210029, Jiangsu, China. xuechangyue@njmu.edu.cn.
Wei ZhangJiangsu Key Laboratory of Oral Diseases, Nanjing Medical University, 136 Hanzhong Road, Nanjing, 210029, Jiangsu, China. zhangwei0508@njmu.edu.cn.
Ruyang ZhangDepartment of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, SPH Building Room 406, 101 Longmian Avenue, Nanjing, 211166, Jiangsu, China. zhangruyang@njmu.edu.cn.
Nanjing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The majority of these existing prognostic models of head and neck squamous cell carcinoma (HNSCC) have unsatisfactory prediction accuracy since they solely utilize demographic and clinical information. Leveraged by autophagy-related epigenetic biomarkers, we aim to develop a better prognostic prediction model of HNSCC incorporating CpG probes with either main effects or gene-gene interactions. Based on DNA methylation data from three independent cohorts, we applied a 3-D analysis strategy to develop An independently validated auTophagy-related epigenetic prognostic prediction model of HEad and Neck squamous cell carcinomA (ATHENA). Compared to prediction models with only demographic and clinical information, ATHENA has substantially improved discriminative ability, prediction accuracy and more clinical net benefits, and shows robustness in different subpopulations, as well as external populations. Besides, epigenetic score of ATHENA is significantly associated with tumor immune microenvironment, tumor-infiltrating immune cell abundances, immune checkpoints, somatic mutation and immunity-related drugs. Taken together these results, ATHENA has the demonstrated feasibility and utility of predicting HNSCC survival ( http://bigdata.njmu.edu.cn/ATHENA/ ).

Indexed as

Head and Neck NeoplasmsAutophagyDNA MethylationEpigenesis, GeneticHumansPrognosisSquamous Cell Carcinoma of Head and NeckTumor MicroenvironmentAutophagyDNA methylationGene–gene interactionHead and neck squamous cell carcinomaImmune landscapePrognostic prediction

Identifiers

PMID37296474
PMCPMC10257287
OpenAlexW4380078539

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.