Evidence map›Paper›PMID 34950592›Full record

ReviewFrontiers in oncology2021

Biomedical Applications of Non-Small Cell Lung Cancer Spheroids.

Julian M Rozenberg, Gleb I Filkov, Alexander V Trofimenko, Evgeny A Karpulevich, Vladimir D Parshin, Valery V Royuk, Marina I Sekacheva, Mikhail O Durymanov

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.9field-weighted citation impact, top 11% 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

12 citing papers in PubMed, 28 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

8 authors at 4 institutions in 1 country.

Julian M RozenbergCell Signaling Regulation Laboratory, Moscow Institute of Physics and Technology (National Research University), Dolgoprudny, Russia.
Gleb I FilkovLaboratory of Medical Informatics, Yaroslav-the-Wise Novgorod State University, Veliky Novgorod, Russia.
Alexander V TrofimenkoSpecial Cell Technology Laboratory, Moscow Institute of Physics and Technology (National Research University), Dolgoprudny, Russia.
Evgeny A KarpulevichDepartment of Information Systems, Ivannikov Institute for System Programming of the Russian Academy of Sciences, Moscow, Russia.
Vladimir D ParshinClinical Center, Sechenov First Moscow State Medical University, Moscow, Russia.
Valery V RoyukClinical Center, Sechenov First Moscow State Medical University, Moscow, Russia.
Marina I SekachevaWorld-Class Research Center "Digital Biodesign and Personalized Healthcare", Sechenov First Moscow State Medical University, Moscow, Russia.
Mikhail O DurymanovLaboratory of Medical Informatics, Yaroslav-the-Wise Novgorod State University, Veliky Novgorod, Russia.
Sechenov University · RUMoscow Institute of Physics and Technology · RUYaroslav-the-Wise Novgorod State University · RUInstitute for System Programming · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung malignancies accounted for 11% of cancers worldwide in 2020 and remained the leading cause of cancer deaths. About 80% of lung cancers belong to non-small cell lung cancer (NSCLC), which is characterized by extremely high clonal and morphological heterogeneity of tumors and development of multidrug resistance. The improvement of current therapeutic strategies includes several directions. First, increasing knowledge in cancer biology results in better understanding of the mechanisms underlying malignant transformation, alterations in signal transduction, and crosstalk between cancer cells and the tumor microenvironment, including immune cells. In turn, it leads to the discovery of important molecular targets in cancer development, which might be affected pharmaceutically. The second direction focuses on the screening of novel drug candidates, synthetic or from natural sources. Finally, "personalization" of a therapeutic strategy enables maximal damage to the tumor of a patient. The personalization of treatment can be based on the drug screening performed using patient-derived tumor xenografts or

Indexed as

drug screeningimmunotherapynon-small cell lung cancerpersonalized medicinespheroid model

Identifiers

PMID34950592
PMCPMC8688758
OpenAlexW4200208375

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.