Evidence map›Paper›PMID 33681260›Full record

SynthesisFrontiers in medicine2021

Visualization and Analysis in the Field of Pan-Cancer Studies and Its Application in Breast Cancer Treatment.

Xianwen Zhang, Han Lai, Fan Zhang, Yixi Wang, Li Zhang, Ni Yang, Chunrong Wang, Zheng Liang, Jieping Zeng, Jinrong Yang

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  8. The Microbiome-Gut-Brain Axis and Dementia: A Bibliometric Analysis.International journal of environmental research and public health · 2022
    Article
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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

10 authors.

Xianwen ZhangSchool of Basic Medical Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Han LaiSchool of Foreign Languages, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Fan ZhangDepartment of General Surgery, The 5th Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.
Yixi WangGuangdong Provincial Key Laboratory of Stomatology, Guanghua School of Stomatology, Hospital of Stomatology, Sun Yat-sen University, Guangzhou, China.
Li ZhangSchool of Basic Medical Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Ni YangSchool of Basic Medical Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Chunrong WangSchool of Basic Medical Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Zheng LiangSchool of Basic Medical Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Jieping ZengDepartment of Ophthalmology, Affiliated Hospital of Chengdu University of Traditional Chinese Medicine (Sichuan Provincial Hospital of Traditional Chinese Medicine), Chengdu, China.
Jinrong YangSchool of Basic Medical Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although all cancers are molecularly distinct, many share common driver mutations. Pan-cancer analysis, utilizes next-generation sequencing (NGS), pan-cancer model systems, and pan-cancer projects such as The Cancer Genome Atlas (TCGA), to assess frequently mutated genes and other genomic abnormalities that are common among many cancer types, regardless of the tumor origin, providing new directions for tumor biology research. However, there is currently no study that has objectively analyzed the results of pan-cancer studies on cancer biology. For this study, 999 articles on pan-cancer published from 2006 to 2020 were obtained from the Scopus database, and bibliometric methods were used to analyze citations, international cooperation, co-authorship and keyword co-occurrence clusters. Furthermore, we also focused on and summarized the application of pan-cancer in breast cancer. Our result shows that the pan-cancer studies were first published in 2006 and entered a period of rapid development after 2013. So far, 86 countries have carried out international cooperation in sharing research. Researchers form the United States and Canada have published the most articles and have made the most extensive contribution to this field, respectively. Through author keyword analysis of the 999 articles, TCGA, biomarkers, NGS, immunotherapy, DNA methylation, prognosis, and several other keywords appear frequently, and these terms are hot spots in pan-cancer studies. There are four subtypes of breast cancer (luminalA, luminalB, HER2, and basal-like) according to pan-cancer analysis of breast cancer. Meanwhile, it was found that breast cancer has genetic similarity to pan-gynecological cancers, such as ovarian cancer, which indicates related etiology and possibly similar treatments. Collectively, with the emergence of new detection methods, new cancer databases, and the involvement of more researchers, pan-cancer analyses will play a greater role in cancer biology research.

Indexed as

bibliometricspan-cancerScopusTCGAVOSviewer

Identifiers

PMID33681260
PMCPMC7926202

What OpenQuestion holds

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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.