Evidence map›Paper›PMID 32991719›Full record

ArticleBlood advances2020

Fusion partner-specific mutation profiles and KRAS mutations as adverse prognostic factors in MLL-rearranged AML.

Hidemasa Matsuo, Kenichi Yoshida, Kana Nakatani, Yutarou Harata, Moe Higashitani, Yuri Ito, Yasuhiko Kamikubo, Yusuke Shiozawa, Yuichi Shiraishi, Kenichi Chiba and 14 more

Open access · goldAbstract read
In one paragraph

Article in Blood advances, 2020. 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
1.1field-weighted citation impact, top 19% 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, 25 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

24 authors at 6 institutions in 3 countries.

Hidemasa MatsuoDepartment of Human Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Kenichi YoshidaDepartment of Pathology and Tumor Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Kana NakataniDepartment of Human Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Yutarou HarataDepartment of Human Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Moe HigashitaniDepartment of Human Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Yuri ItoDepartment of Human Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Yasuhiko KamikuboDepartment of Human Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Yusuke ShiozawaDepartment of Pediatrics, The University of Tokyo, Tokyo, Japan.
Yuichi ShiraishiDivision of Genome Analysis Platform Development, National Cancer Center Research Institute, Tokyo, Japan.
Kenichi ChibaDivision of Genome Analysis Platform Development, National Cancer Center Research Institute, Tokyo, Japan.
Hiroko TanakaLaboratory of DNA Information Analysis, Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan.
Ai OkadaDivision of Genome Analysis Platform Development, National Cancer Center Research Institute, Tokyo, Japan.
Yasuhito NannyaDepartment of Pathology and Tumor Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
June TakedaDepartment of Pathology and Tumor Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Hiroo UenoDepartment of Pathology and Tumor Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Nobutaka KiyokawaDepartment of Pediatric Hematology and Oncology Research, National Research Institute for Child Health and Development, Tokyo, Japan.
Daisuke TomizawaDivision of Leukemia and Lymphoma, Children's Cancer Center, National Center for Child Health and Development, Tokyo, Japan.
Takashi TagaDepartment of Pediatrics, Shiga University of Medical Science, Otsu, Japan.
Akio TawaHigashiosaka Aramoto Heiwa Clinic, Higashiosaka, Japan.
Satoru MiyanoLaboratory of DNA Information Analysis, Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan.
Manja MeggendorferMLL Munich Leukemia Laboratory, Munich, Germany.
Claudia HaferlachMLL Munich Leukemia Laboratory, Munich, Germany.
Seishi OgawaDepartment of Pathology and Tumor Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Souichi AdachiDepartment of Human Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Kyoto University · JPThe University of Tokyo · JPMunich Leukemia Laboratory (Germany) · DENational Center For Child Health and Development · JPHeiwa (Japan) · JPShiga University of Medical Science · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mixed-lineage leukemia (MLL) gene rearrangements are among the most frequent chromosomal abnormalities in acute myeloid leukemia (AML). MLL fusion patterns are associated with the patient's prognosis; however, their relationship with driver mutations is unclear. We conducted sequence analyses of 338 genes in pediatric patients with MLL-rearranged (MLL-r) AML (n = 56; JPLSG AML-05 study) alongside data from the TARGET study's pediatric cohorts with MLL-r AML (n = 104), non-MLL-r AML (n = 581), and adult MLL-r AML (n = 81). KRAS mutations were most frequent in pediatric patients with high-risk MLL fusions (MLL-MLLLT10, MLL-MLLT4, and MLL-MLLT1). Pediatric patients with MLL-r AML (n = 160) and a KRAS mutation (KRAS-MT) had a significantly worse prognosis than those without a KRAS mutation (KRAS-WT) (5-year event-free survival [EFS]: 51.8% vs 18.3%, P < .0001; 5-year overall survival [OS]: 67.3% vs 44.3%, P = .003). The adverse prognostic impact of KRAS mutations was confirmed in adult MLL-r AML. KRAS mutations were associated with adverse prognoses in pediatric patients with both high-risk (MLLT10+MLLT4+MLLT1; n = 60) and intermediate-to-low-risk (MLLT3+ELL+others; n = 100) MLL fusions. The prognosis did not differ significantly between patients with non-MLL-r AML with KRAS-WT or KRAS-MT. Multivariate analysis showed the presence of a KRAS mutation to be an independent prognostic factor for EFS (hazard ratio [HR], 2.21; 95% confidence interval [CI], 1.35-3.59; P = .002) and OS (HR, 1.85; 95% CI, 1.01-3.31; P = .045) in MLL-r AML. The mutation is a distinct adverse prognostic factor in MLL-r AML, regardless of risk subgroup, and is potentially useful for accurate treatment stratification. This trial was registered at the UMIN (University Hospital Medical Information Network) Clinical Trials Registry (UMIN-CTR; http://www.umin.ac.jp/ctr/index.htm) as #UMIN000000511.

Indexed as

Leukemia, Myeloid, AcuteProto-Oncogene Proteins p21(ras)AdultChildHistone-Lysine N-MethyltransferaseHumansMutationMyeloid-Lymphoid Leukemia ProteinPrognosisHistone-Lysine N-MethyltransferaseKRAS protein, humanMyeloid-Lymphoid Leukemia ProteinProto-Oncogene Proteins p21(ras)

Identifiers

PMID32991719
PMCPMC7556160
OpenAlexW3091022970

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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.