Evidence map›Paper›PMID 39341906›Full record

ArticleCommunications biology2024

Facilitating integrative and personalized oncology omics analysis with UCSCXenaShiny.

Shensuo Li, Yuzhong Peng, Minjun Chen, Yankun Zhao, Yi Xiong, Jianfeng Li, Peng Luo, Haitao Wang, Fei Zhao, Qi Zhao and 4 more

Abstract read
In one paragraph

Article in Communications biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. A pan-cancer multi-omicFrontiers in artificial intelligence · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. 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

14 authors.

Shensuo LiWest China School of Public Health and West China Fourth Hospital, and State Key Laboratory of Biotherapy, Sichuan University, Chengdu, PR China.ORCID 0009-0006-3229-3700
Yuzhong PengSchool of Pharmacy, Macau University of Science and Technology, Macau, SAR, PR China.ORCID 0000-0001-8011-6668
Minjun ChenDepartment of Oncology, The Second Affiliated Hospital of Zunyi Medical University, Zunyi, PR China.
Yankun ZhaoDepartment of Oncology, The Second Affiliated Hospital of Zunyi Medical University, Zunyi, PR China.
Yi XiongXiangya School of Medicine, Central South University, Changsha, 410013, PR China.
Jianfeng LiState Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, National Research Center for Translational Medicine, Rui-Jin Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, PR China.ORCID 0000-0003-2349-208X
Peng LuoDepartment of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, PR China.ORCID 0000-0002-8215-2045
Haitao WangCenter for Precision Medicine Research and Training, Faculty of Health Sciences, University of Macau, Macau, SAR, PR China.ORCID 0000-0001-6910-974X
Fei ZhaoUniversity of the Chinese Academy of Sciences, Beijing, China.
Qi ZhaoState Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, PR China.ORCID 0000-0002-8683-6145
Yanru CuiMeinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA.
Sujun ChenWest China School of Public Health and West China Fourth Hospital, and State Key Laboratory of Biotherapy, Sichuan University, Chengdu, PR China. sujunc@scu.edu.cn.ORCID 0000-0002-1941-3951
Jian-Guo ZhouDepartment of Oncology, The Second Affiliated Hospital of Zunyi Medical University, Zunyi, PR China. jianguo.zhou@zmu.edu.cn.ORCID 0000-0002-5021-3739
Shixiang WangState Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, PR China. wangshx@csu.edu.cn.ORCID 0000-0001-9855-7357

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The continuous generation of multi-omics and phenotype data is propelling advancements in precision oncology. UCSCXenaShiny was developed as an interactive tool for exploring thousands of cancer datasets available on UCSC Xena. However, its capacity for comprehensive and personalized pan-cancer data analysis is being challenged by the growing demands. Here, we introduce UCSCXenaShiny v2, a milestone update through a variety of improvements. Firstly, by integrating multidimensional data and implementing adaptable sample settings, we create a suite of robust TPC (TCGA, PCAWG, CCLE) analysis pipelines. These pipelines empower users to conduct in-depth analyses of correlation, comparison, and survival in three modes: Individual, Pan-cancer and Batch screen. Additionally, the tool includes download interfaces that enable users to access diverse data and outcomes, several features also facilitate the joint analysis of drug sensitivity and multi-omics of cancer cell lines. UCSCXenaShiny v2 is an open-source R package and a web application, freely accessible at https://github.com/openbiox/UCSCXenaShiny .

Indexed as

NeoplasmsPrecision MedicineComputational BiologyGenomicsHumansMedical OncologySoftware

Identifiers

PMID39341906
PMCPMC11439031

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.