Evidence map›Paper›PMID 31740784›Full record

ArticleOncogene2020

Chemical complementarity between immune receptor CDR3s and IDH1 mutants correlates with increased survival for lower grade glioma.

Boris I Chobrutskiy, Michelle Yeagley, Price Tipping, Saif Zaman, Andrea Diviney, Dhruv N Patel, Shayan Falasiri, Vladimir N Uversky, George Blanck

Abstract read
PubMed Publisher
In one paragraph

Article in Oncogene, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.7field-weighted citation impact, top 13% 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

14 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. 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

9 authors at 1 institution in 1 country.

Boris I ChobrutskiyDepartment of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, 33612, USA.
Michelle YeagleyDepartment of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, 33612, USA.
Price TippingDepartment of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, 33612, USA.
Saif ZamanDepartment of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, 33612, USA.
Andrea DivineyDepartment of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, 33612, USA.
Dhruv N PatelDepartment of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, 33612, USA.
Shayan FalasiriDepartment of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, 33612, USA.
Vladimir N UverskyDepartment of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, 33612, USA.ORCID http://orcid.org/0000-0002-4037-5857
George BlanckDepartment of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, 33612, USA. gblanck@health.usf.edu.ORCID http://orcid.org/0000-0003-1664-0996
University of South Florida · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Focusing on highly specific aspects of the immune response is likely to answer a number of basic questions, and in some cases even resolve basic contradictions, in cancer immunology. For example, there are many cases, where chronic inflammation is associated with cancer development, and many other cases where an immune response represents an anticancer process. In this study, using bioinformatics algorithms, we examined the chemical relationships between the amino acid sequences of the complementarity-determining region-3 (CDR3) represented by immune receptors associated with lower grade glioma and isocitrate dehydrogenase-1 (IDH1) mutants. In particular, we developed a chemical complementarity scoring approach to classify tumors based on the complementarity of CDR3s and mutant IDH1 amino acids, relying on net charge per residue and hydropathy parameters. There was a strong correlation between the increased survival in low-grade glioma (LGG) and complementarity of IDH1 mutants to the CDR3 domain of the T-cell receptor beta chain (TRB). Similar results were obtained for TRB CDR3s and NRAS mutants in melanoma. Furthermore, the clear connection between increased survival rates and immune receptor-IDH1 mutant complementarities may also, partially, explain the better LGG prognosis for patients with IDH1 mutants.

Indexed as

MutationComplementarity Determining RegionsGene Expression Regulation, NeoplasticGliomaHumansIsocitrate DehydrogenaseKaplan-Meier EstimateNeoplasm GradingComplementarity Determining RegionsIDH1 protein, humanIsocitrate Dehydrogenase

Identifiers

PMID31740784
OpenAlexW2986712924

What OpenQuestion holds

Textmetadata
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.