Evidence map›Paper›PMID 35165277›Full record

ArticleCell discovery2022

Integrated single-cell multiomics analysis reveals novel candidate markers for prognosis in human pancreatic ductal adenocarcinoma.

Xiaoying Fan, Ping Lu, Hongwei Wang, Shuhui Bian, Xinglong Wu, Yu Zhang, Yang Liu, Danqi Fu, Lu Wen, Jihui Hao and 1 more

Open access · goldAbstract read
In one paragraph

Article in Cell discovery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
6.8field-weighted citation impact, top 2% 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

34 citing papers in PubMed, 55 citations in OpenAlex.

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  6. Exploring genome-transcriptome correlations in cancer.Biochemical Society transactions · 2025
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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

11 authors at 4 institutions in 2 countries.

Xiaoying Fan *Beijing Advanced Innovation Center for Genomics (ICG), School of Life Sciences, Peking University, Beijing, China.
Ping Lu *Beijing Advanced Innovation Center for Genomics (ICG), School of Life Sciences, Peking University, Beijing, China.
Hongwei Wang *Department of Pancreatic Cancer, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin, China.
Shuhui Bian *Beijing Advanced Innovation Center for Genomics (ICG), School of Life Sciences, Peking University, Beijing, China.ORCID http://orcid.org/0000-0002-9662-113X
Xinglong Wu *Beijing Advanced Innovation Center for Genomics (ICG), School of Life Sciences, Peking University, Beijing, China.ORCID http://orcid.org/0000-0003-4373-2511
Yu ZhangBeijing Advanced Innovation Center for Genomics (ICG), School of Life Sciences, Peking University, Beijing, China.
Yang LiuDepartment of Pancreatic Cancer, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin, China.
Danqi FuDepartment of Pancreatic Cancer, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin, China.
Lu WenBeijing Advanced Innovation Center for Genomics (ICG), School of Life Sciences, Peking University, Beijing, China.
Jihui HaoDepartment of Pancreatic Cancer, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin, China. haojihui@tjmuch.com.
Fuchou TangBeijing Advanced Innovation Center for Genomics (ICG), School of Life Sciences, Peking University, Beijing, China. tangfuchou@pku.edu.cn.ORCID http://orcid.org/0000-0002-8625-7717
Tianjin Medical University Cancer Institute and Hospital · CNMinistry of Education of the People's Republic of China · CNPeking University · CNHebei Agricultural University · CN

Funding

National Natural Science Foundation of China (National Science Foundation of China) 81702427
6 · The paper itself

Abstract

The epigenomic abnormality of pancreatic ductal adenocarcinoma (PDAC) has rarely been investigated due to its strong heterogeneity. Here, we used single-cell multiomics sequencing to simultaneously analyze the DNA methylome, chromatin accessibility and transcriptome in individual tumor cells of PDAC patients. We identified normal epithelial cells in the tumor lesion, which have euploid genomes, normal patterns of DNA methylation, and chromatin accessibility. Using all these normal epithelial cells as controls, we determined that DNA demethylation in the cancer genome was strongly enriched in heterochromatin regions but depleted in euchromatin regions. There were stronger negative correlations between RNA expression and promoter DNA methylation in cancer cells compared to those in normal epithelial cells. Through in-depth integrated analyses, a set of novel candidate biomarkers were identified, including ZNF667 and ZNF667-AS1, whose expressions were linked to a better prognosis for PDAC patients by affecting the proliferation of cancer cells. Our work systematically revealed the critical epigenomic features of cancer cells in PDAC patients at the single-cell level.

Identifiers

PMID35165277
PMCPMC8844066
OpenAlexW4213167486

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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.