Evidence map›Paper›PMID 32486168›Full record

ArticleBiomedicines2020

RNA Sequencing-Based Identification of Ganglioside GD2-Positive Cancer Phenotype.

Maxim Sorokin, Irina Kholodenko, Daniel Kalinovsky, Tatyana Shamanskaya, Igor Doronin, Dmitry Konovalov, Aleksei Mironov, Denis Kuzmin, Daniil Nikitin, Sergey Deyev and 2 more

Open access · goldAbstract read
In one paragraph

Article in Biomedicines, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
2.1field-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

34 citing papers in PubMed, 48 citations in OpenAlex.

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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

12 authors at 6 institutions in 1 country.

Maxim SorokinShemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, 16/10, Miklukho- Maklaya St., 117997 Moscow, Russia.
Irina KholodenkoOrekhovich Institute of Biomedical Chemistry, 10, Pogodinskaya St., 119121 Moscow, Russia.ORCID 0000-0002-4079-5210
Daniel KalinovskyShemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, 16/10, Miklukho- Maklaya St., 117997 Moscow, Russia.ORCID 0000-0001-8773-2797
Tatyana ShamanskayaD. Rogachev Federal Research Center of Pediatric Hematology, Oncology and Immunology, 1, Samory Mashela St., 117997 Moscow, Russia.ORCID 0000-0002-3767-4477
Igor DoroninShemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, 16/10, Miklukho- Maklaya St., 117997 Moscow, Russia.
Dmitry KonovalovD. Rogachev Federal Research Center of Pediatric Hematology, Oncology and Immunology, 1, Samory Mashela St., 117997 Moscow, Russia.
Aleksei MironovSkolkovo Institute of Science and Technology, 3, Nobelya St., 121205 Moscow, Russia.
Denis KuzminMoscow Institute of Physics and Technology (National Research University), 141700 Moscow, Russia.
Daniil NikitinShemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, 16/10, Miklukho- Maklaya St., 117997 Moscow, Russia.
Sergey DeyevShemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, 16/10, Miklukho- Maklaya St., 117997 Moscow, Russia.
Anton BuzdinShemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, 16/10, Miklukho- Maklaya St., 117997 Moscow, Russia.
Roman KholodenkoShemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, 16/10, Miklukho- Maklaya St., 117997 Moscow, Russia.ORCID 0000-0001-6083-6588
Institute of Bioorganic Chemistry · RUDmitry Rogachev National Research Center of Pediatric Hematology, Oncology and Immunology · RUMoscow Institute of Physics and Technology · RUSechenov University · RUInstitute of Biomedical Chemistry · RUSkolkovo Institute of Science and Technology · RU

Funding

Russian Foundation for Basic Research 18-29-01029Russian Foundation for Basic Research 19-04-00758
6 · The paper itself

Abstract

The tumor-associated ganglioside GD2 represents an attractive target for cancer immunotherapy. GD2-positive tumors are more responsive to such targeted therapy, and new methods are needed for the screening of GD2 molecular tumor phenotypes. In this work, we built a gene expression-based binary classifier predicting the GD2-positive tumor phenotypes. To this end, we compared RNA sequencing data from human tumor biopsy material from experimental samples and public databases as well as from GD2-positive and GD2-negative cancer cell lines, for expression levels of genes encoding enzymes involved in ganglioside biosynthesis. We identified a 2-gene expression signature combining ganglioside synthase genes

Indexed as

ganglioside biosynthesisganglioside GD2GD2-positive tumorsgliomaimmunotherapymolecular diagnosticsneuroblastomaNGSRNA sequencingtargeted therapy

Identifiers

PMID32486168
PMCPMC7344710
OpenAlexW3028603350

What OpenQuestion holds

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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.