Evidence map›Paper›PMID 29534749›Full record

ReviewJournal of experimental & clinical cancer research : CR2018

Targeting KRAS in metastatic colorectal cancer: current strategies and emerging opportunities.

Manuela Porru, Luca Pompili, Carla Caruso, Annamaria Biroccio, Carlo Leonetti

Open access · goldAbstract readReview
In one paragraph

Review in Journal of experimental & clinical cancer research : CR, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 100 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
100citing papers in PubMed, 1 pooled it
7.9field-weighted citation impact, top 2% 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

100 citing papers in PubMed, 1 synthesis or guideline pooled it, 173 citations in OpenAlex.

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  15. A newly identified allelic mutation c.110C>T in theGynecology and pelvic medicine · 2025
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40 more citing papers are in PubMed but not listed here.

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

5 authors at 2 institutions in 3 countries.

Manuela PorruUOSD SAFU, Regina Elena National Cancer Institute, Rome, Italy.
Luca PompiliUOSD SAFU, Regina Elena National Cancer Institute, Rome, Italy.
Carla CarusoUniversity of Tuscia, Viterbo, Italy.
Annamaria BiroccioOncogenomic and Epigenetic Unit, Regina Elena National Cancer Institute, Rome, Italy. annamaria.biroccio@ifo.gov.it.
Carlo LeonettiUOSD SAFU, Regina Elena National Cancer Institute, Rome, Italy. carlo.leonetti@ifo.gov.it.ORCID http://orcid.org/0000-0002-3526-7827
National Cancer Institute · MYUniversità degli Studi della Tuscia · IT

Funding

Associazione Italiana per la Ricerca sul Cancro 16910Associazione Italiana per la Ricerca sul Cancro 18637
6 · The paper itself

Abstract

Developing drugs that target KRAS, the most frequently mutated oncogene in cancer, has not been successful despite much concerted efforts dedicated towards it in the last thirty years. Considering the key role this driver oncogene plays, the pharmacological drugging of KRAS remains a key challenge for cancer research. In this review, we highlight the emerging experimental strategies for blocking KRAS function and signaling and its direct targeting. We also report on the results in this field of research produced by our group.

Indexed as

Biomarkers, TumorMolecular Targeted TherapyAnimalsAntineoplastic AgentsColorectal NeoplasmsDrug Resistance, NeoplasmErbB ReceptorsGene Expression Regulation, NeoplasticHumansMutationProto-Oncogene Proteins p21(ras)RNA InterferenceSignal TransductionAntineoplastic AgentsBiomarkers, TumorEGFR protein, humanErbB ReceptorsKRAS protein, humanProto-Oncogene Proteins p21(ras)

Identifiers

PMID29534749
PMCPMC5850913
OpenAlexW2802981934

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.