Evidence map›Paper›PMID 26155992›Full record

ArticleCancer medicine2015

Genetic profiles of cervical tumors by high-throughput sequencing for personalized medical care.

Etienne Muller, Baptiste Brault, Allyson Holmes, Angelina Legros, Emmanuelle Jeannot, Maura Campitelli, Antoine Rousselin, Nicolas Goardon, Thierry Frébourg, Sophie Krieger and 5 more

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.8field-weighted citation impact, top 17% 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

19 citing papers in PubMed, 38 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

15 authors at 4 institutions in 2 countries.

Etienne MullerDepartment of Cancer Biology and Genetics, CCC François Baclesse, Caen, France.
Baptiste BraultDepartment of Cancer Biology and Genetics, CCC François Baclesse, Caen, France.
Allyson HolmesRecombination and Genetic Instability, UMR 3244, Institut Curie, Paris, France.
Angelina LegrosDepartment of Cancer Biology and Genetics, CCC François Baclesse, Caen, France.
Emmanuelle JeannotBiopathology Department, Institut Curie, Paris, France.
Maura CampitelliDepartment of Radiotherapy, Institut Curie, Paris, France.
Antoine RousselinDepartment of Cancer Biology and Genetics, CCC François Baclesse, Caen, France.
Nicolas GoardonDepartment of Cancer Biology and Genetics, CCC François Baclesse, Caen, France.
Thierry FrébourgInserm U1079, Rouen, France.
Sophie KriegerDepartment of Cancer Biology and Genetics, CCC François Baclesse, Caen, France.
Hubert CrouetGynecology Oncology Department, CCC François Baclesse, Caen, France.
Alain NicolasRecombination and Genetic Instability, UMR 3244, Institut Curie, Paris, France.
Xavier SastreBiopathology Department, Institut Curie, Paris, France.
Dominique VaurDepartment of Cancer Biology and Genetics, CCC François Baclesse, Caen, France.
Laurent CastéraDepartment of Cancer Biology and Genetics, CCC François Baclesse, Caen, France.
Centre François Baclesse · LUInserm · FRInstitut Curie · FRDynamique de l'information génétique : bases fondamentales et cancer · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer treatment is facing major evolution since the advent of targeted therapies. Building genetic profiles could predict sensitivity or resistance to these therapies and highlight disease-specific abnormalities, supporting personalized patient care. In the context of biomedical research and clinical diagnosis, our laboratory has developed an oncogenic panel comprised of 226 genes and a dedicated bioinformatic pipeline to explore somatic mutations in cervical carcinomas, using high-throughput sequencing. Twenty-nine tumors were sequenced for exons within 226 genes. The automated pipeline used includes a database and a filtration system dedicated to identifying mutations of interest and excluding false positive and germline mutations. One-hundred and seventy-six total mutational events were found among the 29 tumors. Our cervical tumor mutational landscape shows that most mutations are found in PIK3CA (E545K, E542K) and KRAS (G12D, G13D) and others in FBXW7 (R465C, R505G, R479Q). Mutations have also been found in ALK (V1149L, A1266T) and EGFR (T259M). These results showed that 48% of patients display at least one deleterious mutation in genes that have been already targeted by the Food and Drug Administration approved therapies. Considering deleterious mutations, 59% of patients could be eligible for clinical trials. Sequencing hundreds of genes in a clinical context has become feasible, in terms of time and cost. In the near future, such an analysis could be a part of a battery of examinations along the diagnosis and treatment of cancer, helping to detect sensitivity or resistance to targeted therapies and allow advancements towards personalized oncology.

Indexed as

Genes, NeoplasmAdultAgedAnaplastic Lymphoma KinaseCell Cycle ProteinsDNA Mutational AnalysisErbB ReceptorsExonsF-Box ProteinsF-Box-WD Repeat-Containing Protein 7FemaleHigh-Throughput Nucleotide SequencingHumansMiddle AgedMutationPrecision MedicineALK protein, humanAnaplastic Lymphoma KinaseCell Cycle ProteinsEGFR protein, humanErbB ReceptorsF-Box ProteinsF-Box-WD Repeat-Containing Protein 7FBXW7 protein, humanKRAS protein, humanProto-Oncogene ProteinsProto-Oncogene Proteins p21(ras)Receptor Protein-Tyrosine KinasesUbiquitin-Protein LigasesCervixdiagnosisNGSpaneltargeted therapie

Identifiers

PMID26155992
PMCPMC4618619
OpenAlexW1514298365

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.