Evidence map›Paper›PMID 38975894›Full record

ArticleBriefings in bioinformatics2024

CARTAR: a comprehensive web tool for identifying potential targets in chimeric antigen receptor therapies using TCGA and GTEx data.

Miguel Hernandez-Gamarra, Alba Salgado-Roo, Eduardo Dominguez, Elena María Goiricelaya Seco, Sara Veiga-Rúa, Lucía F Pedrera-Garbayo, Ángel Carracedo, Catarina Allegue

Abstract read
In one paragraph

Article in Briefings in bioinformatics, 2024. 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.

  1. Article
  2. Review
  3. Article
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  5. Article
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

8 authors.

Miguel Hernandez-GamarraGenomic Medicine Group, Center for Research in Molecular Medicine and Chronic Diseases (CiMUS), University of Santiago de Compostela, Av. Barcelona, 15706 A Coruña, Spain.
Alba Salgado-RooGenomic Medicine Group, Center for Research in Molecular Medicine and Chronic Diseases (CiMUS), University of Santiago de Compostela, Av. Barcelona, 15706 A Coruña, Spain.
Eduardo DominguezC005, Instituto de Investigación Sanitaria de Santiago (IDIS), Travesía da Choupana, 15706 A Coruña, Spain.
Elena María Goiricelaya SecoC005, Instituto de Investigación Sanitaria de Santiago (IDIS), Travesía da Choupana, 15706 A Coruña, Spain.
Sara Veiga-RúaGenomic Medicine Group, Center for Research in Molecular Medicine and Chronic Diseases (CiMUS), University of Santiago de Compostela, Av. Barcelona, 15706 A Coruña, Spain.
Lucía F Pedrera-GarbayoGenomic Medicine Group, Center for Research in Molecular Medicine and Chronic Diseases (CiMUS), University of Santiago de Compostela, Av. Barcelona, 15706 A Coruña, Spain.
Ángel CarracedoGenomic Medicine Group, Center for Research in Molecular Medicine and Chronic Diseases (CiMUS), University of Santiago de Compostela, Av. Barcelona, 15706 A Coruña, Spain.
Catarina AllegueGenomic Medicine Group, Center for Research in Molecular Medicine and Chronic Diseases (CiMUS), University of Santiago de Compostela, Av. Barcelona, 15706 A Coruña, Spain.

Funding

Xunta de Galicia ED431G 2019/02
6 · The paper itself

Abstract

Chimeric antigen receptor (CAR) therapy has emerged as a ground-breaking advancement in cancer treatment, harnessing the power of engineered human immune cells to target and eliminate cancer cells. The escalating interest and investment in CAR therapy in recent years emphasize its profound significance in clinical research, positioning it as a rapidly expanding frontier in the field of personalized cancer therapies. A crucial step in CAR therapy design is choosing the right target as it determines the therapy's effectiveness, safety and specificity against cancer cells, while sparing healthy tissues. Herein, we propose a suite of tools for the identification and analysis of potential CAR targets leveraging expression data from The Cancer Genome Atlas and Genotype-Tissue Expression Project, which are implemented in CARTAR website. These tools focus on pinpointing tumor-associated antigens, ensuring target selectivity and assessing specificity to avoid off-tumor toxicities and can be used to rationally designing dual CARs. In addition, candidate target expression can be explored in cancer cell lines using the expression data for the Cancer Cell Line Encyclopedia. To our best knowledge, CARTAR is the first website dedicated to the systematic search of suitable candidate targets for CAR therapy. CARTAR is publicly accessible at https://gmxenomica.github.io/CARTAR/.

Indexed as

NeoplasmsReceptors, Chimeric AntigenComputational BiologyDatabases, GeneticHumansImmunotherapy, AdoptiveInternetSoftwareReceptors, Chimeric AntigenCARimmunotherapylogic-gatedtarget selectionweb tool

Identifiers

PMID38975894
PMCPMC11229032

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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.