Evidence map›Paper›PMID 26526121›Full record

ReviewJournal of molecular medicine (Berlin, Germany)2016

Modeling K-Ras-driven lung adenocarcinoma in mice: preclinical validation of therapeutic targets.

Matthias Drosten, Mariano Barbacid

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of molecular medicine (Berlin, Germany), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.2field-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

9 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
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  9. Novel strategies for cancer therapy.Journal of molecular medicine (Berlin, Germany) · 2016
    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

2 authors at 1 institution in 1 country.

Matthias DrostenMolecular Oncology Programme, Centro Nacional de Investigaciones Oncológicas (CNIO), Melchor Fernández Almagro 3, 28029, Madrid, Spain. mdrosten@cnio.es.
Mariano BarbacidMolecular Oncology Programme, Centro Nacional de Investigaciones Oncológicas (CNIO), Melchor Fernández Almagro 3, 28029, Madrid, Spain. mbarbacid@cnio.es.
Spanish National Cancer Research Centre · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer is the leading cause of cancer-related deaths worldwide, and even today, the 5-year survival rate is still below 15%. Lung adenocarcinoma is the most frequent subtype, and approximately 25% of the cases harbor activating mutations in the KRAS gene. To date, there is no effective treatment for patients carrying KRAS mutations due, at least in part, to the challenge posed by direct targeting of the KRAS oncoprotein. During the last decade, scientists have developed genetically engineered mouse models that faithfully recapitulate the natural history of the human tumors. These models have been used as a preclinical platform to validate a number of relevant downstream effectors of KRAS signaling. Targets displaying synthetic lethality with the KRAS oncoprotein have also been validated in these models. Here, we review these studies and discuss their potential value in the clinical setting. We also provide an outlook as of how to improve the significance of target validation studies in preclinical platforms.

Indexed as

AdenocarcinomaAdenocarcinoma of LungAnimalsAntineoplastic AgentsBiomarkers, TumorCell CycleCell Transformation, NeoplasticDisease Models, AnimalDrug Evaluation, PreclinicalDrug Resistance, NeoplasmHumansLung NeoplasmsMAP Kinase Signaling SystemMiceMolecular Targeted TherapyMutationAntineoplastic AgentsBiomarkers, TumorPhosphatidylinositol 3-KinasesProto-Oncogene Proteins p21(ras)GEMMsMouse modelsTarget validationTherapeutic strategies

Identifiers

PMID26526121
OpenAlexW2232584499

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.