Evidence map›Paper›PMID 26285789›Full record

ArticleTargeted oncology2016

Does Molecular Genotype Provide Useful Information in the Management of Radioiodine Refractory Thyroid Cancers? Results of a Retrospective Study.

Christelle de la Fouchardiere, Nadia Oussaid, Olfa Derbel, Myriam Decaussin-Petrucci, Marie-Eve Fondrevelle, Qing Wang, Pierre-Paul Bringuier, Claire Bournaud-Salinas, Jean-Louis Peix, Jean-Christophe Lifante and 3 more

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in Targeted oncology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
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 5 institutions in 1 country.

Christelle de la FouchardiereMedical Oncology Department, Centre Leon Berard, University Lyon I, 28 rue Laennec, 69003, Lyon, France. christelle.delafouchardiere@lyon.unicancer.fr.
Nadia OussaidDepartment of Biostatistics, Centre Leon Berard, University Lyon I, Lyon, France.
Olfa DerbelMedical Oncology Department, Centre Leon Berard, University Lyon I, 28 rue Laennec, 69003, Lyon, France.
Myriam Decaussin-PetrucciPathology Department, Hospital Lyon-Sud, University Lyon I, Pierre-Benite, France.
Marie-Eve FondrevellePathology Department, Centre Leon Berard, University Lyon I, Lyon, France.
Qing WangMolecular Biology Platform, Clinical Science Center, Centre Leon Berard, University Lyon I, Lyon, France.
Pierre-Paul BringuierDepartment of Pathology, Edouard Herriot Hospital, University Lyon I, Lyon, France.
Claire Bournaud-SalinasDepartment of Nuclear Medicine, Hospital Louis Pradel, University Lyon I, Bron, France.
Jean-Louis PeixDepartment of General and Endocrine Surgery, Hospital Lyon-Sud, University Lyon I, Lyon, France.
Jean-Christophe LifanteDepartment of General and Endocrine Surgery, Hospital Lyon-Sud, University Lyon I, Lyon, France.
Anne-Laure GiraudetDepartment of Nuclear Medicine, Centre Leon Berard, University Lyon I, Lyon, France.
Jonathan LopezDepartment of Biochemistry, Hospital Lyon-Sud, University Lyon I, Lyon, Pierre-Bénite, France.
Françoise Borson-ChazotEndocrinology Department-INSERM, UMR 1052, Hospital Louis Pradel, University Lyon I, Lyon, France.
Université Claude Bernard Lyon 1 · FRCentre Léon Bérard · FRHôpital Louis Pradel · FRHôpital Edouard Herriot · FRHôpital Lyon Sud · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionWhether mutation status should be used to guide therapy is an important issue in many cancers. We correlated mutation profile in radioiodine-refractory (RAIR) metastatic thyroid cancers (TCs) with patient outcome and response to tyrosine kinase inhibitors (TKIs), and discussed the results with other published data. MATERIALS AND

methodsOutcome in 82 consecutive patients with metastatic RAIR thyroid carcinoma prospectively tested for BRAF, RAS and PI3KCA mutations was retrospectively analyzed, including 55 patients treated with multikinase inhibitors.

resultsPapillary thyroid carcinomas (PTCs) were the most frequent histological subtype (54.9 %), followed by poorly differentiated thyroid carcinoma [PDTC] (30.5 %) and follicular thyroid carcinoma [FTC] (14.6 %). A genetic mutation was identified in 23 patients (28 %) and BRAF was the most frequently mutated gene (23 %). Median progression-free survival (PFS) on first-line TKI treatment was 14.6 months (95% CI 9.9-18.4). BRAF mutation positively influenced median PFS, both in the entire TKI-treated cohort (median PFS 34.7 months versus 11.6 months; hazard ratio [HR] 0.29; 95% CI 0.09-0.98; p = 0.03) and in the TKI-treated PTC cohort (n = 22) [log-rank p = 0.086; HR 2.95; 95 % CI 0.81-10.70). However, in TKI-treated patients, PDTC histologic subtype was the only independent prognostic factor for PFS identified in the multivariate analysis (HR 2.36; 95% CI 1.01-5.54; p = 0.048).

conclusionPatients with BRAF-mutant PTC had a significantly longer PFS than BRAF wild-type when treated with TKIs. However, due to the small number of BRAF-mutant patients, further investigations are required, especially to understand the potential positive effect of BRAF mutations in RAIR TC patients while having a negative prognostic impact in RAI-sensitive PTC patients.

Indexed as

Molecular Targeted TherapyAdenocarcinomaAdultAgedAged, 80 and overBiomarkers, TumorCarcinoma, PapillaryDisease ManagementFemaleFollow-Up StudiesGenotypeHumansIodine RadioisotopesMaleMiddle AgedMutationBiomarkers, TumorIodine Radioisotopes

Identifiers

PMID26285789
OpenAlexW1179857210

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.