Evidence map›Paper›PMID 34957503›Full record

ArticleHuman molecular genetics2022

Development and validation of prognostic and diagnostic model for pancreatic ductal adenocarcinoma based on scRNA-seq and bulk-seq datasets.

Kai Chen, Xinxin Liu, Weikang Liu, Feng Wang, Xiaodong Tian, Yinmo Yang

Abstract read
In one paragraph

Article in Human molecular genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
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

15 citing papers in PubMed.

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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

6 authors.

Kai ChenDepartment of General Surgery, Peking University First Hospital, Beijing 100034, China.
Xinxin LiuDepartment of General Surgery, Peking University First Hospital, Beijing 100034, China.
Weikang LiuDepartment of General Surgery, Peking University First Hospital, Beijing 100034, China.
Feng WangDepartment of Endoscopy Center, Peking University First Hospital, Beijing 100034, China.
Xiaodong TianDepartment of General Surgery, Peking University First Hospital, Beijing 100034, China.ORCID 0000-0002-0943-5161
Yinmo YangDepartment of General Surgery, Peking University First Hospital, Beijing 100034, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The 5-year overall survival (OS) of pancreatic ductal adenocarcinoma (PDAC) is only 10%, partly owing to the lack of reliable diagnostic and prognostic biomarkers. The raw gene-cell matrix for single-cell RNA-seq (scRNA-seq) analysis was downloaded from the GSA database. We drew cell atlas for PDAC and normal pancreatic tissues. The inferCNV analysis was used to distinguish tumor cells from normal ductal cells. We identified differential expression genes (DEGs) by comparing tumor cells and normal ductal cells. The common DEGs were used to conduct prognostic and diagnostic model using univariate and multivariate Cox or logistic regression analysis. Four genes, MET, KLK10, PSMB9 and ITGB6, were utilized to create risk score formula to predict OS and to establish diagnostic model for PDAC. Finally, we drew an easy-to-use nomogram to predict 2-year and 3-year OSs. In conclusion, we developed and validated the prognostic and diagnostic model for PDAC based on scRNA-seq and bulk-seq datasets.

Indexed as

Carcinoma, Pancreatic DuctalPancreatic NeoplasmsBiomarkers, TumorHumansPrognosisSingle-Cell AnalysisBiomarkers, Tumor

Identifiers

PMID34957503
PMCPMC9122644

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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.