Evidence map›Paper›PMID 36292645›Full record

ArticleGenes2022

Single Cell RNA-Seq Identifies Immune-Related Prognostic Model and Key Signature-SPP1 in Pancreatic Ductal Adenocarcinoma.

Kai Chen, Qi Wang, Xinxin Liu, Feng Wang, Yongsu Ma, Shupeng Zhang, Zhijiang Shao, Yinmo Yang, Xiaodong Tian

Open access · goldAbstract read
In one paragraph

Article in Genes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.9field-weighted citation impact, top 5% 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

16 citing papers in PubMed, 31 citations in OpenAlex.

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  13. Myeloid MyD88 restricts CD8Scientific reports · 2023
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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

9 authors at 2 institutions in 1 country.

Kai ChenDepartment of General Surgery, Peking University First Hospital, Beijing 100034, China.ORCID 0000-0002-7233-5892
Qi WangDepartment of General Surgery, Peking University First Hospital, Beijing 100034, China.
Xinxin LiuDepartment of General Surgery, Peking University First Hospital, Beijing 100034, China.
Feng WangDepartment of Endoscopy Center, Peking University First Hospital, Beijing 100034, China.
Yongsu MaDepartment of General Surgery, Peking University First Hospital, Beijing 100034, China.
Shupeng ZhangDepartment of General Surgery, Tianjin Fifth Centre Hospital, Tianjin 300450, China.
Zhijiang ShaoDepartment of General Surgery, Tianjin Fifth Centre Hospital, Tianjin 300450, China.
Yinmo YangDepartment of General Surgery, Peking University First Hospital, Beijing 100034, China.
Xiaodong TianDepartment of General Surgery, Peking University First Hospital, Beijing 100034, China.
Peking University · CNFifth Tianjin Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There are no reliable biomarkers for early diagnosis or prognosis evaluation in pancreatic ductal adenocarcinoma (PDAC). Multiple scRNA-seq datasets for PDAC were retrieved from online databases and combined with scRNA-seq results from our previous study. The malignant ductal cells were identified through calculating copy number variation (CNV) scores. The robust markers of malignant ductal cells in PDAC were found. Five immune-related signatures, including SPP1, LINC00683, SNHG10, LINC00237, and CASC19, were used to develop a risk score formula to predict the overall survival of PDAC patients. We also constructed an easy-to-use nomogram, combining risk score, N stage, and margin status. The expression level of SPP1 was related to the prognosis and immune regulators. We found that SPP1 was mainly expressed in ductal cells and macrophages in PDAC. In conclusion, we constructed a promising prognostic model based on immune-related signatures for PDAC using scRNA-seq and TCGA_PAAD datasets.

Indexed as

Carcinoma, Pancreatic DuctalPancreatic NeoplasmsBiomarkers, TumorDNA Copy Number VariationsGene Expression Regulation, NeoplasticHumansOsteopontinPrognosisRNA-SeqBiomarkers, TumorOsteopontinSPP1 protein, humanimmune related signaturespancreatic cancerprognostic modelScRNA-seqSPP1

Identifiers

PMID36292645
PMCPMC9601640
OpenAlexW4298002963

What OpenQuestion holds

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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.