Evidence map›Paper›PMID 26968814›Full record

ArticleOncotarget2016

Determination of somatic oncogenic mutations linked to target-based therapies using MassARRAY technology.

Maider Ibarrola-Villava, Tania Fleitas, Marta J Llorca-Cardeñosa, Cristina Mongort, Elisa Alonso, Samuel Navarro, Octavio Burgues, Ana Vivancos, Juan Miguel Cejalvo, José Alejandro Perez-Fidalgo and 3 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

8 citing papers in PubMed, 13 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

13 authors at 3 institutions in 1 country.

Maider Ibarrola-VillavaHematology and Medical Oncology Unit, Biomedical Research Institute INCLIVA, Valencia, Spain.
Tania FleitasHematology and Medical Oncology Unit, Biomedical Research Institute INCLIVA, Valencia, Spain.
Marta J Llorca-CardeñosaHematology and Medical Oncology Unit, Biomedical Research Institute INCLIVA, Valencia, Spain.
Cristina MongortDepartment of Pathology, Biomedical Research Institute INCLIVA, Valencia, Spain.
Elisa AlonsoDepartment of Pathology, Biomedical Research Institute INCLIVA, Valencia, Spain.
Samuel NavarroDepartment of Pathology, Biomedical Research Institute INCLIVA, Valencia, Spain.
Octavio BurguesDepartment of Pathology, Biomedical Research Institute INCLIVA, Valencia, Spain.
Ana VivancosCancer Genomics Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain.
Juan Miguel CejalvoHematology and Medical Oncology Unit, Biomedical Research Institute INCLIVA, Valencia, Spain.
José Alejandro Perez-FidalgoHematology and Medical Oncology Unit, Clinic University Hospital of Valencia, Valencia, Spain.
Susana RosellóHematology and Medical Oncology Unit, Clinic University Hospital of Valencia, Valencia, Spain.
Gloria RibasHematology and Medical Oncology Unit, Biomedical Research Institute INCLIVA, Valencia, Spain.
Andrés CervantesHematology and Medical Oncology Unit, Biomedical Research Institute INCLIVA, Valencia, Spain.
INCLIVA Health Research Institute · ESHospital Clínico Universitario de Valencia · ESVall d'Hebron Institute of Oncology

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Somatic mutation analysis represents a useful tool in selecting personalized therapy. The aim of our study was to determine the presence of common genetic events affecting actionable oncogenes using a MassARRAY technology in patients with advanced solid tumors who were potential candidates for target-based therapies. The analysis of 238 mutations across 19 oncogenes was performed in 197 formalin-fixed paraffin-embedded samples of different tumors using the OncoCarta Panel v1.0 (Sequenom Hamburg, Germany). Of the 197 specimens, 97 (49.2%) presented at least one mutation. Forty-nine different oncogenic mutations in 16 genes were detected. Mutations in KRAS and PIK3CA were detected in 40/97 (41.2%) and 30/97 (30.9%) patients respectively. Thirty-one patients (32.0%) had mutations in two genes, 20 of them (64.5%) initially diagnosed with colorectal cancer. The co-occurrence of mutation involved mainly KRAS, PIK3CA, KIT and RET. Mutation profiles were validated using a customized panel and the Junior Next-Generation Sequencing technology (GS-Junior 454, Roche). Twenty-eight patients participated in early clinical trials or received specific treatments according to the molecular characterization (28.0%). MassARRAY technology is a rapid and effective method for identifying key cancer-driving mutations across a large number of samples, which allows for a more appropriate selection for personalized therapies.

Indexed as

AdultAgedAged, 80 and overDNA Mutational AnalysisFemaleHigh-Throughput Nucleotide SequencingHumansMaleMiddle AgedNeoplasmsPrecision MedicineSpectrometry, Mass, Matrix-Assisted Laser Desorption-Ionizationoncocartapersonalized medicinesomatic oncogene mutations

Identifiers

PMID26968814
PMCPMC5008380
OpenAlexW2336927429

What OpenQuestion holds

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LicenceCC BY
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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.