Evidence map›Paper›PMID 25815361›Full record

ArticleOncoscience2015

Successful re-treatment of a relapsed V600E mutated HCL patient with low-dose vemurafenib.

Caroline Bailleux, Guillaume Robert, Clémence Ginet, Daniel Re, Antoine Thyss, Isabelle Sudaka, Isabelle Peyrottes, Paul Hofman, Patrick Auberger, Frederic Peyrade

Abstract read
In one paragraph

Article in Oncoscience, 2015. 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
–field-weighted citation impact
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.

  1. Article
  2. Article
  3. Article
  4. BRAF in the cross-hairs.Expert review of hematology · 2019
    Review
  5. Review
  6. Article
  7. Article
  8. 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

10 authors.

Caroline BailleuxDepartment of Medical Oncology, Centre Antoine Lacassagne, Nice, France.
Guillaume RobertINSERM, U1065, TEAM 2, Nice, France ; University of Nice, Nice, France.
Clémence GinetINSERM, U1065, TEAM 2, Nice, France ; University of Nice, Nice, France.
Daniel ReDepartment of Medical Oncology, Centre Antoine Lacassagne, Nice, France.
Antoine ThyssDepartment of Medical Oncology, Centre Antoine Lacassagne, Nice, France.
Isabelle SudakaLaboratory of Hematology, CHU Nice, Nice, France.
Isabelle PeyrottesDepartment of Pathology, Centre Antoine Lacassagne, Nice, France.
Paul HofmanLaboratory of Clinical and Experimental Pathology, Pasteur Hospital, CHU Nice.
Patrick AubergerINSERM, U1065, TEAM 2, Nice, France ; University of Nice, Nice, France.
Frederic PeyradeDepartment of Medical Oncology, Centre Antoine Lacassagne, Nice, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hairy cell leukemia (HCL) is a chronic B-cell lymphoproliferative disorder that accounts for 2% of all leukemia. Recent identification of the recurrent V600E BRAF mutation in a majority of HCL patients has led some teams to evaluate the clinical potential of vemurafenib, a BRAF V600 specific inhibitor in a limited number of refractory HCL patients. Recently, we published the case of an HCL patient successfully treated with a low dose of vemurafenib. Eight months after the ending of treatment this patient relapsed. We present here the successful retreatment of this patient with a second line of vemurafenib. Our data suggest for the first time that vemurafenib at the dose of 240 mg once a day could be sufficient to maintain a complete hematological remission after an initial induction treatment with low-dose vemurafenib (2 × 240 mg) daily without inducing major toxicity.

Indexed as

hairy-cell leukemiarelapsere-treatmentV600E mutationvemurafenib

Identifiers

PMID25815361
PMCPMC4341463

What OpenQuestion holds

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Registered trials

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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.