Evidence map›Paper›PMID 34049974›Full record

ArticleCancer research2021

A Transcriptionally Distinct Subpopulation of Healthy Acinar Cells Exhibit Features of Pancreatic Progenitors and PDAC.

Vishaka Gopalan, Arashdeep Singh, Farid Rashidi Mehrabadi, Li Wang, Eytan Ruppin, H Efsun Arda, Sridhar Hannenhalli

Open access · hybridAbstract read
In one paragraph

Article in Cancer research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.0field-weighted citation impact, top 21% 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

10 citing papers in PubMed, 18 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Vishaka GopalanCancer Data Science Laboratory, National Cancer Institute, Center for Cancer Research, National Institutes of Health, Bethesda, Maryland. vishaka.gopalan@nih.gov sridhar.hannenhalli@nih.gov.ORCID 0000-0002-5582-3130
Arashdeep SinghCancer Data Science Laboratory, National Cancer Institute, Center for Cancer Research, National Institutes of Health, Bethesda, Maryland.
Farid Rashidi MehrabadiCancer Data Science Laboratory, National Cancer Institute, Center for Cancer Research, National Institutes of Health, Bethesda, Maryland.ORCID 0000-0003-4103-4904
Li WangLaboratory of Receptor Biology and Gene Expression, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
Eytan RuppinCancer Data Science Laboratory, National Cancer Institute, Center for Cancer Research, National Institutes of Health, Bethesda, Maryland.ORCID 0000-0002-7862-3940
H Efsun ArdaLaboratory of Receptor Biology and Gene Expression, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
Sridhar HannenhalliCancer Data Science Laboratory, National Cancer Institute, Center for Cancer Research, National Institutes of Health, Bethesda, Maryland. vishaka.gopalan@nih.gov sridhar.hannenhalli@nih.gov.ORCID 0000-0001-9603-7569
National Cancer Institute · USIndiana University Bloomington · US

Funding

Identification of genomic regulatory elements in pancreas cellsZIABC011798 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI ARDA, HATICE · 2018 to 2025
$10.5M
Developmental origins of CancerZIABC011978 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI HANNENHALLI, SRIDHAR · 2020 to 2025
$2.1M
Transcriptomic origins of cancerZIABC011964 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI HANNENHALLI, SRIDHAR · 2020 to 2023
$1.8M
Machine learning, network-based models for gene expression, activity, functionZIABC011981 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI HANNENHALLI, SRIDHAR · 2020 to 2023
$1.2M
Intramural NIH HHS ZIA BC011981
6 · The paper itself

Abstract

Pancreatic ductal adenocarcinoma (PDAC) tumors can originate either from acinar or ductal cells in the adult pancreas. We re-analyze multiple pancreas and PDAC single-cell RNA-seq datasets and find a subset of nonmalignant acinar cells, which we refer to as acinar edge (AE) cells, whose transcriptomes highly diverge from a typical acinar cell in each dataset. Genes upregulated among AE cells are enriched for transcriptomic signatures of pancreatic progenitors, acinar dedifferentiation, and several oncogenic programs. AE-upregulated genes are upregulated in human PDAC tumors, and consistently, their promoters are hypomethylated. High expression of these genes is associated with poor patient survival. The fraction of AE-like cells increases with age in healthy pancreatic tissue, which is not explained by clonal mutations, thus pointing to a nongenetic source of variation. The fraction of AE-like cells is also significantly higher in human pancreatitis samples. Finally, we find edge-like states in lung, liver, prostate, and colon tissues, suggesting that subpopulations of healthy cells across tissues can exist in pre-neoplastic states. SIGNIFICANCE: These findings show "edge" epithelial cell states with oncogenic transcriptional activity in human organs without oncogenic mutations. In the pancreas, the fraction of acinar cells increases with age.

Indexed as

Acinar CellsCarcinoma, Pancreatic DuctalHumansSurvival Analysis

Identifiers

PMID34049974
PMCPMC8338776
OpenAlexW3164898199

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Registered trials

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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.