Evidence map›Paper›PMID 35570408›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2022

Dynamic Interplay between Structural Variations and 3D Genome Organization in Pancreatic Cancer.

Yongxing Du, Zongting Gu, Zongze Li, Zan Yuan, Yue Zhao, Xiaohao Zheng, Xiaochen Bo, Hebing Chen, Chengfeng Wang

Open access · goldAbstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.3field-weighted citation impact, top 10% 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

21 citing papers in PubMed, 25 citations in OpenAlex.

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  14. Three-Dimensional Gene Regulation Network in Glioblastoma Ferroptosis.International journal of molecular sciences · 2023
    Article
  15. Review
  16. Article
  17. 3D genomic organization in cancers.Quantitative biology (Beijing, China) · 2023
    Review
  18. Neoantigens: promising targets for cancer therapy.Signal transduction and targeted therapy · 2023
    Review
  19. Review
  20. Article
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 3 institutions in 2 countries.

Yongxing DuDepartment of Pancreatic and Gastric Surgery, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, P. R. China.ORCID 0000-0003-3334-6561
Zongting GuDepartment of Pancreatic and Gastric Surgery, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, P. R. China.ORCID 0000-0002-7800-7988
Zongze LiDepartment of Pancreatic and Gastric Surgery, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, P. R. China.ORCID 0000-0002-0149-6971
Zan YuanAnnoroad Gene Technology Co. Ltd, Beijing, 100176, P. R. China.ORCID 0000-0001-5582-5120
Yue ZhaoAnnoroad Gene Technology Co. Ltd, Beijing, 100176, P. R. China.ORCID 0000-0001-5293-820X
Xiaohao ZhengDepartment of Pancreatic and Gastric Surgery, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, P. R. China.
Xiaochen BoDepartment of Biotechnology, Institute of Health Service and Transfusion Medicine, Beijing, 100850, P. R. China.
Hebing ChenDepartment of Biotechnology, Institute of Health Service and Transfusion Medicine, Beijing, 100850, P. R. China.ORCID 0000-0003-4102-356X
Chengfeng WangDepartment of Pancreatic and Gastric Surgery, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, P. R. China.ORCID 0000-0002-5589-7391
Chinese Academy of Medical Sciences & Peking Union Medical College · CNAnnoroad Gene Technology (China) · CNInstitute for Transfusion Medicine · US

Funding

CAMS Innovation Fund for Medical Sciences 2016-I2M-1-001National Natural Science Foundation of China 81802463National Natural Science Foundation of China 81972314
6 · The paper itself

Abstract

Structural variations (SVs) are the greatest source of variations in the genome and can lead to oncogenesis. However, the identification and interpretation of SVs in human cancer remain technologically challenging. Here, long-read sequencing is first employed to depict the signatures of structural variations in carcinogenesis of human pancreatic ductal epithelium. Then widespread reprogramming of the 3D chromatin architecture is revealed by an in situ Hi-C technique. Integrative analyses indicate that the distribution pattern of SVs among the 3D genome is highly cell-type specific and the bulk remodeling effects of SVs in the chromatin organization partly depend on intercellular genomic heterogeneity. Meanwhile, contact domains tend to minimize these disrupting effects of SVs within local adjacent genomic regions to maintain overall stability. Notably, complex genomic rearrangements involving two key driver genes CDKN2A and SMAD4 are identified, and their influence on the expression of oncogenes MIR31HG, MYO5B, etc., are further elucidated from both a linear view and 3D perspective. Overall, this work provides a genome-wide resource and highlights the impact, complexity, and dynamicity of the interplay between structural variations and high-order chromatin organization, which expands the current understanding of the pathogenesis of SVs in human cancer.

Indexed as

Genomic Structural VariationPancreatic NeoplasmsChromatinGenome, HumanGenomicsHumansChromatin3D genomeHi-Cpancreatic cancersingle-molecule real-time (SMRT) sequencingstructural variations

Identifiers

PMID35570408
PMCPMC9218654
OpenAlexW4280542590

What OpenQuestion holds

Textmetadata
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.