Evidence map›Paper›PMID 34284202›Full record

ArticleTranslational oncology2021

Antitumor efficacy of XPO1 inhibitor Selinexor in KRAS-mutant lung adenocarcinoma patient-derived xenografts.

Joshua C Rosen, Jessica Weiss, Nhu-An Pham, Quan Li, Sebastiao N Martins-Filho, Yuhui Wang, Ming-Sound Tsao, Nadeem Moghal

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Translational oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

17 citing papers in PubMed, 26 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 3 institutions in 1 country.

Joshua C RosenPrincess Margaret Cancer Centre, University Health Network, 101 College Street, Toronto, Ontario M5G 1L7, Canada; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario M5S 1A8, Canada.
Jessica WeissDepartment of Biostatistics, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario M5T 3M7, Canada.
Nhu-An PhamPrincess Margaret Cancer Centre, University Health Network, 101 College Street, Toronto, Ontario M5G 1L7, Canada.
Quan LiPrincess Margaret Cancer Centre, University Health Network, 101 College Street, Toronto, Ontario M5G 1L7, Canada.
Sebastiao N Martins-FilhoPrincess Margaret Cancer Centre, University Health Network, 101 College Street, Toronto, Ontario M5G 1L7, Canada.
Yuhui WangPrincess Margaret Cancer Centre, University Health Network, 101 College Street, Toronto, Ontario M5G 1L7, Canada.
Ming-Sound TsaoPrincess Margaret Cancer Centre, University Health Network, 101 College Street, Toronto, Ontario M5G 1L7, Canada; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario M5S 1A8, Canada; Department of Medical Biophysics, University of Toronto, Ontario M5G 1L7, Canada.
Nadeem MoghalPrincess Margaret Cancer Centre, University Health Network, 101 College Street, Toronto, Ontario M5G 1L7, Canada. Electronic address: nadeem.moghal@uhnresearch.ca.
Princess Margaret Cancer Centre · CAUniversity Health Network · CAUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gain-of-function Kirsten rat sarcoma viral oncogene homolog (KRAS) mutations occur in 25% of lung adenocarcinomas, and these tumors are challenging to treat. Some preclinical work, largely based on cell lines, suggested KRAS

Indexed as

KRASLung adenocarcinomaPatient-derived xenograftsTargeted therapeuticsXPO1

Identifiers

PMID34284202
PMCPMC8313753
OpenAlexW3186741379

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.