Evidence map›Paper›PMID 38212124›Full record

ArticleJournal for immunotherapy of cancer2024

TCCIA: a comprehensive resource for exploring CircRNA in cancer immunotherapy.

Shixiang Wang, Yi Xiong, Yihao Zhang, Haitao Wang, Minjun Chen, Jianfeng Li, Peng Luo, Yung-Hung Luo, Markus Hecht, Benjamin Frey and 5 more

Open access · goldAbstract read
In one paragraph

Article in Journal for immunotherapy of cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.8field-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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Review
  6. Article
  7. Circular RNA in cancer.Nature reviews. Cancer · 2024
    Review
  8. Review
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

15 authors at 9 institutions in 4 countries.

Shixiang WangDepartment of Oncology, The Second Affiliated Hospital of Zunyi Medical University, Zunyi, People's Republic of China.ORCID 0000-0001-9855-7357
Yi XiongXiangya School of Medicine, Central South University, Changsha, People's Republic of China.
Yihao ZhangXiangya School of Medicine, Central South University, Changsha, People's Republic of China.
Haitao WangCenter for Precision Medicine Research and Training, Faculty of Health Sciences, University of Macau, Macau SAR, People's Republic of China.
Minjun ChenDepartment of Oncology, The Second Affiliated Hospital of Zunyi Medical University, Zunyi, People's Republic of 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, People's Republic of China.
Peng LuoDepartment of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, People's Republic of China.ORCID 0000-0002-8215-2045
Yung-Hung LuoDepartment of Chest Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.
Markus HechtDepartment of Radiotherapy and Radiation Oncology, Saarland University Medical Center, Homburg, Germany.ORCID 0000-0003-2082-216X
Benjamin FreyTranslational Radiobiology, Department of Radiation Oncology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.ORCID 0000-0001-6743-3351
Udo GaiplTranslational Radiobiology, Department of Radiation Oncology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.ORCID 0000-0001-6375-5476
Xuejun LiXiangya School of Medicine, Central South University, Changsha, People's Republic of China jianguo.zhou@zmu.edu.cn mahuab@163.com zhaoqi@sysucc.org.cn lxjneuro@csu.edu.cn.ORCID 0000-0001-6406-4423
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, People's Republic of China jianguo.zhou@zmu.edu.cn mahuab@163.com zhaoqi@sysucc.org.cn lxjneuro@csu.edu.cn.
Hu MaDepartment of Oncology, The Second Affiliated Hospital of Zunyi Medical University, Zunyi, People's Republic of China jianguo.zhou@zmu.edu.cn mahuab@163.com zhaoqi@sysucc.org.cn lxjneuro@csu.edu.cn.
Jian-Guo ZhouDepartment of Oncology, The Second Affiliated Hospital of Zunyi Medical University, Zunyi, People's Republic of China jianguo.zhou@zmu.edu.cn mahuab@163.com zhaoqi@sysucc.org.cn lxjneuro@csu.edu.cn.ORCID 0000-0002-5021-3739
Central South University · CNFriedrich-Alexander-Universität Erlangen-Nürnberg · DESun Yat-sen University · CNZunyi Medical University · CNNational Yang Ming Chiao Tung University · TWSaarland University · DEShanghai Jiao Tong University · CNUniversity of Macau · MOZhujiang Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImmunotherapies targeting immune checkpoints have gained increasing attention in cancer treatment, emphasizing the need for predictive biomarkers. Circular RNAs (circRNAs) have emerged as critical regulators of tumor immunity, particularly in the PD-1/PD-L1 pathway, and have shown potential in predicting immunotherapy efficacy. Yet, the detailed roles of circRNAs in cancer immunotherapy are not fully understood. While existing databases focus on either circRNA profiles or immunotherapy cohorts, there is currently no platform that enables the exploration of the intricate interplay between circRNAs and anti-tumor immunotherapy. A comprehensive resource combining circRNA profiles, immunotherapy responses, and clinical outcomes is essential to advance our understanding of circRNA-mediated tumor-immune interactions and to develop effective biomarkers.

methodsTo address these gaps, we constructed The Cancer CircRNA Immunome Atlas (TCCIA), the first database that combines circRNA profiles, immunotherapy response data, and clinical outcomes across multicancer types. The construction of TCCIA involved applying standardized preprocessing to the raw sequencing FASTQ files, characterizing circRNA profiles using an ensemble approach based on four established circRNA detection tools, analyzing tumor immunophenotypes, and compiling immunotherapy response data from diverse cohorts treated with immune checkpoint blockades (ICBs).

resultsTCCIA encompasses over 4,000 clinical samples obtained from 25 cohorts treated with ICBs along with other treatment modalities. The database provides researchers and clinicians with a cloud-based platform that enables interactive exploration of circRNA data in the context of ICB. The platform offers a range of analytical tools, including browse of identified circRNAs, visualization of circRNA abundance and correlation, association analysis between circRNAs and clinical variables, assessment of the tumor immune microenvironment, exploration of tumor molecular signatures, evaluation of treatment response or prognosis, and identification of altered circRNAs in immunotherapy-sensitive and resistant tumors. To illustrate the utility of TCCIA, we showcase two examples, including circTMTC3 and circMGA, by employing analysis of large-scale melanoma and bladder cancer cohorts, which unveil distinct impacts and clinical implications of different circRNA expression in cancer immunotherapy.

conclusionsTCCIA represents a significant advancement over existing resources, providing a comprehensive platform to investigate the role of circRNAs in immuno-oncology.

Indexed as

MelanomaRNA, CircularBiomarkersHumansImmunotherapyRNATumor MicroenvironmentBiomarkersRNARNA, Circularbiomarkers, tumorgenetic markersimmunotherapytumor biomarkers

Identifiers

PMID38212124
PMCPMC10806567
OpenAlexW4390765632

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.