Evidence map›Paper›PMID 30155614›Full record

ReviewCurrent hematologic malignancy reports2018

Clinical Validation of KIT Inhibition in Advanced Systemic Mastocytosis.

John H Baird, Jason Gotlib

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current hematologic malignancy reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

9 citing papers in PubMed, 24 citations in OpenAlex.

  1. Review
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  8. Review
  9. Novel approaches to treating advanced systemic mastocytosis.Clinical pharmacology : advances and applications · 2019
    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

2 authors at 1 institution in 1 country.

John H BairdDivision of Hematology, Stanford Cancer Institute / Stanford University School of Medicine, 875 Blake Wilbur Drive, Room 2324, Stanford, CA, 94305-5821, USA.
Jason GotlibDivision of Hematology, Stanford Cancer Institute / Stanford University School of Medicine, 875 Blake Wilbur Drive, Room 2324, Stanford, CA, 94305-5821, USA. jason.gotlib@stanford.edu.
Stanford University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewWe discuss recent developments in the treatment of advanced systemic mastocytosis (advSM) with inhibitors of the KIT receptor tyrosine kinase. RECENT

findingsadvSM is a heterogeneous group of neoplasms of poor prognosis characterized by the accumulation of neoplastic mast cells. The canonical KIT D816V mutation is present in approximately 90% of SM patients, and its detection is critical for both diagnosis and therapeutic decision-making. The multikinase/KIT inhibitor midostaurin was recently approved for advSM. This agent can reverse SM-related organ damage and disease symptoms, and decrease the bone marrow mast cell burden and splenomegaly. However, complete remissions are rare and durability of responses is variable. Potent and selective KIT D816V inhibitors including avapritinib (BLU-285) and DCC-2618 have entered clinical trials, and rational combination strategies are under development. The clinical efficacy of KIT inhibitors validate KIT as a key oncogenic driver in mast cell neoplasms. An improved understanding of the genetic heterogeneity beyond KIT will help inform the dynamics of response and relapse.

Indexed as

Mutation, MissenseAmino Acid SubstitutionClinical Trials as TopicHumansMastocytosis, SystemicProto-Oncogene Proteins c-kitStaurosporineKIT protein, humanmidostaurinProto-Oncogene Proteins c-kitStaurosporineAvapritinibImatinibKIT D816VMidostaurinSystemic mastocytosis

Identifiers

PMID30155614
OpenAlexW2888962846

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.