Evidence map›Paper›PMID 34345532›Full record

ArticleOncoimmunology2021

CanImmunother: a manually curated database for identification of cancer immunotherapies associating with biomarkers, targets, and clinical effects.

Wenliang Zhang, Binghui Zeng, Huancai Lin, Wen Guan, Jing Mo, Song Wu, Yanjie Wei, Qianshen Zhang, Dongsheng Yu, Weizhong Li and 1 more

Abstract read
In one paragraph

Article in Oncoimmunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

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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.

Wenliang ZhangDepartment of Pediatrics, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China.ORCID 0000-0003-0454-6935
Binghui ZengGuangdong Provincial Key Laboratory of Stomatology, Guanghua School of Stomatology, Hospital of Stomatology, Sun Yat-sen University, Guangzhou, China.
Huancai LinGuangdong Provincial Key Laboratory of Stomatology, Guanghua School of Stomatology, Hospital of Stomatology, Sun Yat-sen University, Guangzhou, China.
Wen GuanDepartment of Bioinformatics, Outstanding Biotechnology Co., Ltd.-Shenzhen, Shenzhen, China.
Jing MoDepartment of Bioinformatics, Outstanding Biotechnology Co., Ltd.-Shenzhen, Shenzhen, China.
Song WuZhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China.
Yanjie WeiChinese Academy of Sciences, Shenzhen Institute of Advanced Technology, Shenzhen, Guangdong, China.
Qianshen ZhangDepartment of Pediatrics, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China.
Dongsheng YuGuangdong Provincial Key Laboratory of Stomatology, Guanghua School of Stomatology, Hospital of Stomatology, Sun Yat-sen University, Guangzhou, China.ORCID 0000-0002-2176-9308
Weizhong LiZhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China.ORCID 0000-0002-9003-7733
Godfrey Chi-Fung ChanDepartment of Pediatrics, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China.ORCID 0000-0001-5032-8985

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As immunotherapy is evolving into an essential armamentarium against cancers, numerous translational studies associated with relevant biomarkers, targets, and clinical effects have been reported in recent years. However, a large amount of associated experimental data remains unexplored due to the difficulty in accessibility and utilization. Here, we established a comprehensive high-quality database for cancer immunotherapy called CanImmunother (http://www.biomedical-web.com/cancerit/) through manual curation on 4515 publications. CanImmunother contains 3267 experimentally validated associations between 218 cancer sub-types across 34 body parts and 484 immunotherapies with 642 biomarkers, 108 targets, and 121 control therapies. Each association was manually curated by professional curators, incorporated with valuable annotation and cross references, and assigned with an association score for prioritization. To help clinicians and researchers in identifying and discovering better cancer immunotherapy and their respective biomarkers and targets, CanImmunother offers user-friendly web applications including search, browse, excel table, association prioritization, and network visualization. CanImmunother presents a landscape of experimental cancer immunotherapy association data, serving as a useful resource to improve our insight and to facilitate further discovery of advanced immunotherapy options for cancer patients.

Indexed as

ImmunotherapyNeoplasmsBiomarkers, TumorDatabases, FactualHumansBiomarkers, TumorbiomarkerCancer immunotherapydatabaseimmune checkpointtumor vaccine

Identifiers

PMID34345532
PMCPMC8288037

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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.