Evidence map›Paper›PMID 36583248›Full record

ArticleJournal of cellular and molecular medicine2023

Pan-Cancer analyses of Necroptosis-Related genes as a potential target to predict immunotherapeutic outcome.

Zheng Zhou, Jiajun Wu, Wenli Ma, Feilin Dong, Jiafeng Wang

Open access · goldAbstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 40% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. 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 at 2 institutions in 1 country.

Zheng ZhouBengbu Medical College Graduate School, Bengbu, China.ORCID 0000-0003-3351-641X
Jiajun WuBengbu Medical College Graduate School, Bengbu, China.
Wenli MaBengbu Medical College Graduate School, Bengbu, China.
Feilin DongZhejiang Provincial Key Laboratory of Diagnosis and Treatment of Endocrine Gland Diseases, Hangzhou, China.
Jiafeng WangDepartment of Head and Neck Surgery, Centre of Otolaryngology-Head and Neck Surgery, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, China.
Bengbu Medical College · CNBlood Center of Zhejiang Province · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Necroptosis is a unique programmed death mechanism of necrotic cells. However, its role and specific mechanism in cancer remain unclear, and a systematic pan-cancer analysis of necroptosis is yet to be conducted. Thus, we performed a specific pan-cancer analysis using The Cancer Genome Atlas and Genotype-Tissue Expression databases to analyse necroptosis expression in terms of cancer prognosis, DNA methylation status, tumour mutative burden, microsatellite instability, immune cell infiltration in different types of cancer and molecular mechanisms. For the first time, we explored the correlation between necroptosis and immunotherapy prognosis. Thus, our study provides a relatively comprehensive understanding of the carcinogenicity of necroptosis in different types of cancer. It is suggested that necroptosis can be used to evaluate the sensitivity of different patients to immunotherapy and may become a potential target for tumour immunotherapy.

Indexed as

NecroptosisNeoplasmsDatabases, FactualDNA MethylationHumansImmunotherapyTumor Microenvironmentcancerimmunotherapymutationnecroptosistumour microenvironment

Identifiers

PMID36583248
PMCPMC9843528
OpenAlexW4313312697

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.