Evidence map›Paper›PMID 34313248›Full record

ArticleJournal of biosciences2021

Prognostic value and immunological characteristics of a novel autophagy-related signature in pancreatic cancer.

P C Jiang, T Y Bao, J M Zhi, S R Bu

Abstract read
PubMed
In one paragraph

Article in Journal of biosciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 88% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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 2 institutions in 1 country.

P C JiangDepartment of Gastroenterology, Jinshan Hospital Affiliated to Fudan University, Jinshan District, Shanghai, China.
T Y Bao
J M Zhi
S R Bu
Jinshan Hospital of Fudan University · CNShanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autophagy affects the development, progression, and prognosis of various cancers including pancreatic cancer. To develop an autophagy-related prognostic model of pancreatic cancer, we systematically analyzed gene expression profile from The Cancer Genome Atlas and Genotype-Tissue Expression. Ten autophagy-relevant genes with potential prognostic values were identified, based on which a prognostic model was constructed. We divided patients into a high- and a low-risk group with this model. Time-dependent receiver operating characteristic and Kaplan-Meier curves were conducted to evaluate the accuracy of the model. The Area Under Curvevalues of this model at 12, 18, and 24 months were 0.76, 0.73, and 0.78, respectively. The model was further validated in two Gene Expression Omnibus datasets. Gene set enrichment analysis and Cibersort were applied to analyze immune infiltration patterns and immune checkpoint blockade (ICB) molecules. The expression of ICB molecules, such as

Indexed as

AutophagyGene Expression ProfilingHumansImmune Checkpoint InhibitorsKaplan-Meier EstimatePancreatic NeoplasmsPrognosisImmune Checkpoint Inhibitors

Identifiers

PMID34313248
OpenAlexW3187033067

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.