Evidence map›Paper›PMID 27104187›Full record

ArticleBlood research2016

A scientific treatment approach for acute mast cell leukemia: using a strategy based on next-generation sequencing data.

Jeonghwan Youk, Youngil Koh, Ji-Won Kim, Dae-Yoon Kim, Hyunkyung Park, Woo June Jung, Kwang-Sung Ahn, Hongseok Yun, Inho Park, Choong-Hyun Sun and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Blood research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
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

12 authors at 4 institutions in 1 country.

Jeonghwan YoukDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Korea.
Youngil KohDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Korea.; Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea.
Ji-Won KimDepartment of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Korea.
Dae-Yoon KimCancer Research Institute, Seoul National University College of Medicine, Seoul, Korea.
Hyunkyung ParkDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Korea.
Woo June JungCancer Research Institute, Seoul National University College of Medicine, Seoul, Korea.
Kwang-Sung AhnCancer Research Institute, Seoul National University College of Medicine, Seoul, Korea.
Hongseok YunBioinformatics Group, Platform Development Center, CSP R&D, Samsung SDS, Seoul, Korea.
Inho ParkBioinformatics Group, Platform Development Center, CSP R&D, Samsung SDS, Seoul, Korea.
Choong-Hyun SunBioinformatics Group, Platform Development Center, CSP R&D, Samsung SDS, Seoul, Korea.
Seungmook LeeBioinformatics Group, Platform Development Center, CSP R&D, Samsung SDS, Seoul, Korea.
Sung-Soo YoonDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Korea.; Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea.; Clinical Research Institute, Seoul National University Hospital, Seoul, Korea.
Seoul National University · KRSamsung (South Korea) · KRSeoul National University Hospital · KRSeoul National University Bundang Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMast cell leukemia (MCL) is the most aggressive form of systemic mastocytosis disorders. Owing to its rarity, neither pathogenesis nor standard treatment is established for this orphan disease. Hence, we tried to treat a patient with MCL based on the exome and transcriptome sequencing results of the patient's own DNA and RNA.

methodsFirst, tumor DNA and RNA were extracted from bone marrow at the time of diagnosis. Germline DNA was extracted from the patient's saliva 45 days after induction chemotherapy and used as a control. Then, we performed whole-exome sequencing (WES) using the DNA and whole transcriptome sequencing (WTS) using the RNA. Single nucleotide variants (SNVs) were called using MuTect and GATK. Samtools, FusionMap, and Gene Set Enrichment Analysis were utilized to analyze WTS results.

resultsWES and WTS results revealed mutation in KIT S476I. Fusion analysis was performed using WTS data, which suggested a possible RARα-B2M fusion. When RNA expression analysis was performed using WTS data, upregulation of PIK3/AKT pathway, downstream of KIT and mTOR, was observed. Based on our WES and WTS results, we first administered all-trans retinoic acid, then dasatinib, and finally, an mTOR inhibitor.

conclusionWe present a case of orphan disease where we used a targeted approach using WES and WTS data of the patient. Even though our treatment was not successful, use of our approach warrants further validation.

Indexed as

C-kitIndividualized medicineLeukemiaMast cell

Identifiers

PMID27104187
PMCPMC4828523
OpenAlexW2323961322

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.