Evidence map›Paper›PMID 32111026›Full record

ArticleInternational journal of molecular sciences2020

Disparity between Inter-Patient Molecular Heterogeneity and Repertoires of Target Drugs Used for Different Types of Cancer in Clinical Oncology.

Marianna A Zolotovskaia, Maxim I Sorokin, Ivan V Petrov, Elena V Poddubskaya, Alexey A Moiseev, Marina I Sekacheva, Nicolas M Borisov, Victor S Tkachev, Andrew V Garazha, Andrey D Kaprin and 5 more

Abstract read
In one paragraph

Article in International journal of molecular sciences, 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
–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

14 citing papers in PubMed.

  1. Review
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  11. Recent Trends in Cancer Genomics and Bioinformatics Tools Development.International journal of molecular sciences · 2021
    Article
  12. Article
  13. Bioinformatics Methods in Medical Genetics and Genomics.International journal of molecular sciences · 2020
    Article
  14. Deubiquitination in prostate cancer progression: role of USP22.Journal of cancer metastasis and treatment · 2020
    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

15 authors.

Marianna A ZolotovskaiaOncobox ltd., Moscow 121205, Russia.ORCID 0000-0003-0668-2156
Maxim I SorokinI.M. Sechenov First Moscow State Medical University, Moscow 119991, Russia.
Ivan V PetrovOncobox ltd., Moscow 121205, Russia.
Elena V PoddubskayaI.M. Sechenov First Moscow State Medical University, Moscow 119991, Russia.ORCID 0000-0001-6476-6337
Alexey A MoiseevI.M. Sechenov First Moscow State Medical University, Moscow 119991, Russia.
Marina I SekachevaI.M. Sechenov First Moscow State Medical University, Moscow 119991, Russia.
Nicolas M BorisovMoscow Institute of Physics and Technology, Dolgoprudny, Moscow Region 141701, Russia.ORCID 0000-0002-1671-5524
Victor S TkachevOmicsway Corp., Walnut, CA, 91789, USA.
Andrew V GarazhaOmicsway Corp., Walnut, CA, 91789, USA.
Andrey D KaprinNational Medical Research Radiological Centre of the Ministry of Health of the Russian Federation, Moscow 125284, Russia.
Peter V ShegayCenter for Innovative Radiological and Regenerative Technologies of the Ministry of Health of the Russian Federation, Obninsk 249030, Russia.
Alf GieseOrthocentrum Hamburg, 20149 Hamburg, Germany.
Ella KimJohannes Gutenberg University Mainz, Mainz, Germany.
Sergey A RoumiantsevDepartment of Oncology, Hematology and Radiotherapy of Pediatric Faculty, Pirogov Russian National Research Medical University, Moscow 117997, Russia.
Anton A BuzdinOncobox ltd., Moscow 121205, Russia.

Funding

Russian Foundation for Fundamental Investigations 19-29-01108
6 · The paper itself

Abstract

Inter-patient molecular heterogeneity is the major declared driver of an expanding variety of anticancer drugs and personalizing their prescriptions. Here, we compared interpatient molecular heterogeneities of tumors and repertoires of drugs or their molecular targets currently in use in clinical oncology. We estimated molecular heterogeneity using genomic (whole exome sequencing) and transcriptomic (RNA sequencing) data for 4890 tumors taken from The Cancer Genome Atlas database. For thirteen major cancer types, we compared heterogeneities at the levels of mutations and gene expression with the repertoires of targeted therapeutics and their molecular targets accepted by the current guidelines in oncology. Totally, 85 drugs were investigated, collectively covering 82 individual molecular targets. For the first time, we showed that the repertoires of molecular targets of accepted drugs did not correlate with molecular heterogeneities of different cancer types. On the other hand, we found that the clinical recommendations for the available cancer drugs were strongly congruent with the gene expression but not gene mutation patterns. We detected the best match among the drugs usage recommendations and molecular patterns for the kidney, stomach, bladder, ovarian and endometrial cancers. In contrast, brain tumors, prostate and colorectal cancers showed the lowest match. These findings provide a theoretical basis for reconsidering usage of targeted therapeutics and intensifying drug repurposing efforts.

Indexed as

Drug Delivery SystemsGenetic HeterogeneityAntineoplastic AgentsCluster AnalysisDrug TherapyExome SequencingGenomicsHumansMedical OncologyMolecular Targeted TherapyMutationNeoplasmsPathology, MolecularPrecision MedicineTranscriptomeAntineoplastic Agentscancer drugschemotherapyclinical oncologygenomemolecular diagnosticsmutationspersonalized medicinetargeted therapeuticstranscriptometumor heterogeneity

Identifiers

PMID32111026
PMCPMC7084891

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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.