Evidence map›Paper›PMID 32681639›Full record

ArticleDatabase : the journal of biological databases and curation2020

Autophagy and Tumor Database: ATdb, a novel database connecting autophagy and tumor.

Kelie Chen, Dexin Yang, Fan Zhao, Shengchao Wang, Yao Ye, Wenjie Sun, Haohua Lu, Zhi Ruan, Jinming Xu, Tianru Wang and 9 more

Open access · goldAbstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

12 citing papers in PubMed, 23 citations in OpenAlex.

  1. Review
  2. Autophagy3D: a comprehensive autophagy structure database.Database : the journal of biological databases and curation · 2024
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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

19 authors at 7 institutions in 4 countries.

Kelie ChenDepartment of Toxicology of School of Public Health, and Department of Gynecologic Oncology of Women's Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China.
Dexin YangDepartment of Toxicology of School of Public Health, and Department of Gynecologic Oncology of Women's Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China.
Fan ZhaoDepartment of Toxicology of School of Public Health, and Department of Gynecologic Oncology of Women's Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China.
Shengchao WangDepartment of Gynecologic Oncology of Women's Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China.
Yao YeDepartment of Oncology, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China.
Wenjie SunDepartment of Pathology, Zhejiang University School of Medicine, Hangzhou 310058, China.
Haohua LuDepartment of Toxicology of School of Public Health, and Department of Gynecologic Oncology of Women's Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China.
Zhi RuanSir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou 310016, China.
Jinming XuDepartment of Thoracic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.
Tianru WangEpidemiology Stream, Dalla Lana School of Public Health, University of Toronto, M5T 3M7 ON, Canada.
Guang LuDepartment of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore.
Liming WangDepartment of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore.
Yu ShiState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.
Honghe ZhangDepartment of Pathology, Zhejiang University School of Medicine, Hangzhou 310058, China.
Han WuSecond Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, China.
Weiguo LuDepartment of Gynecologic Oncology of Women's Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China.
Han-Ming ShenDepartment of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore.
Dajing XiaDepartment of Toxicology of School of Public Health, and Department of Gynecologic Oncology of Women's Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China.
Yihua WuDepartment of Toxicology of School of Public Health, and Department of Gynecologic Oncology of Women's Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China.
Women's Hospital, School of Medicine, Zhejiang University · CNNational University of Singapore · SGZhejiang University · CNSecond Affiliated Hospital of Zhejiang University · CNFirst Affiliated Hospital Zhejiang University · CNSir Run Run Shaw Hospital · CNUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autophagy is an essential cellular process that is closely implicated in diverse pathophysiological processes and a variety of human diseases, especially tumors. Autophagy is regarded as not only an anti-cancer process in tumorigenesis but also a pro-tumor process in progression and metastasis according to current research. It means the role of autophagy in tumor is considered to be complex, controversial and context dependent. Hence, a comprehensive database is of great significance to obtain an in-depth understanding of such complex correlations between autophagy and tumor. To achieve this objective, here we developed the Autophagy and Tumor Database (named as ATdb, http://www.bigzju.com/ATdb/#/) to compile the published information concerning autophagy and tumor research. ATdb connected 25 types of tumors with 137 genes required for autophagy-related pathways, containing 219 population filters, 2650 hazard ratio trend plots, 658 interacting microRNAs, 266 interacting long non-coding RNAs, 155 post-translational modifications, 298 DNA methylation records, 331 animal models and 70 clinical trials. ATdb could enable users to search, browse, download and carry out efficient online analysis. For instance, users can make prediction of autophagy gene regulators in a context-dependent manner and in a precise subpopulation and tumor subtypes. Also, it is feasible in ATdb to cluster tumors into distinguished groups based on the gene-related long non-coding RNAs to gain novel insights into their potential functional implications. Thus, ATdb offers a powerful online database for the autophagy community to explore the complex world of autophagy and tumor. Database URL: http://www.bigzju.com/ATdb/#/.

Indexed as

AutophagyDatabases, FactualNeoplasmsAnimalsData VisualizationHumansSoftwareUser-Computer Interface

Identifiers

PMID32681639
PMCPMC7340339
OpenAlexW3041921794

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.