Evidence map›Paper›PMID 37882107›Full record

ArticleJournal of cellular and molecular medicine2024

Integrating bulk and single-cell data to predict the prognosis and identify the immune landscape in HNSCC.

Chunlong Yang, Xiaoning Cheng, Shenglan Gao, Qingjun Pan

Open access · goldAbstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

4 authors at 1 institution in 1 country.

Chunlong YangClinical Research Center, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.ORCID 0000-0001-5743-9506
Xiaoning ChengZhanjiang Central Hospital, Guangdong Medical University, Zhanjiang, China.
Shenglan GaoClinical Research Center, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Qingjun PanClinical Research Center, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.ORCID 0000-0002-8060-9099
Guangdong Medical College · CN

Funding

Natural Science Foundation of Guangdong Province 2021A1515010827Natural Science Foundation of Guangdong Province 2022A1515111006
6 · The paper itself

Abstract

The complex interplay between tumour cells and the tumour microenvironment (TME) underscores the necessity for gaining comprehensive insights into disease progression. This study centres on elucidating the elusive the elusive role of endothelial cells within the TME of head and neck squamous cell carcinoma (HNSCC). Despite their crucial involvement in angiogenesis and vascular function, the mechanistic diversity of endothelial cells among HNSCC patients remains largely uncharted. Leveraging advanced single-cell RNA sequencing (scRNA-Seq) technology and the Scissor algorithm, we aimed to bridge this knowledge gap and illuminate the intricate interplay between endothelial cells and patient prognosis within the context of HNSCC. Here, endothelial cells were categorized into Scissor

Indexed as

Endothelial CellsHead and Neck NeoplasmsAlgorithmsCarcinogenesisHumansSquamous Cell Carcinoma of Head and NeckTumor Microenvironmentendothelial cellHNSCCrisk modelScissorsingle-cell data

Identifiers

PMID37882107
PMCPMC10805493
OpenAlexW4387948491

What Socratic 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 Socratic graph.