Evidence map›Paper›PMID 36916780›Full record

ArticleCancer medicine2023

RNA sequencing of myeloid sarcoma, shed light on myeloid sarcoma stratification.

Yunfan Yang, Yang Shu, Yuan Tang, Sha Zhao, Yongqian Jia, Jie Ji, Hongbing Ma, Ting Lin, Ke Zheng, Heng Xu and 1 more

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 11% 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, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
  6. Diagnostic Approaches in Myeloid Sarcoma.Current issues in molecular biology · 2025
    Review
  7. Article
  8. Article
  9. 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

11 authors at 1 institution in 1 country.

Yunfan YangDepartment of Hematology, Institute of Hematology, West China Hospital of Sichuan University, Chengdu, People's Republic of China.
Yang ShuDepartment of Gastrointestinal Surgery, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital of Sichuan University, Chengdu, People's Republic of China.
Yuan TangDepartment of Pathology, West China Hospital of Sichuan University, Chengdu, People's Republic of China.
Sha ZhaoDepartment of Pathology, West China Hospital of Sichuan University, Chengdu, People's Republic of China.ORCID 0000-0001-9347-7999
Yongqian JiaDepartment of Hematology, Institute of Hematology, West China Hospital of Sichuan University, Chengdu, People's Republic of China.
Jie JiDepartment of Hematology, Institute of Hematology, West China Hospital of Sichuan University, Chengdu, People's Republic of China.
Hongbing MaDepartment of Hematology, Institute of Hematology, West China Hospital of Sichuan University, Chengdu, People's Republic of China.
Ting LinDepartment of Hematology, Institute of Hematology, West China Hospital of Sichuan University, Chengdu, People's Republic of China.
Ke ZhengDepartment of Pathology, West China Hospital of Sichuan University, Chengdu, People's Republic of China.
Heng XuState Key Laboratory of Biotherapy and Cancer Center, West China Hospital of Sichuan University, Chengdu, People's Republic of China.
Yu WuDepartment of Hematology, Institute of Hematology, West China Hospital of Sichuan University, Chengdu, People's Republic of China.ORCID 0000-0001-8708-9711
Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMyeloid sarcoma (MS) is a rare, extramedullary tumor consisting of myeloid blasts. Little is known about the genetic background of MS and the prognostic value of genetic abnormalities in MS. In particular, the broad variety of gene fusions that occur in MS is marginally covered by traditional testing methods due to lack of fresh tumor specimens.

methodsHere, we analyzed the clinical and genetic features of 61 MS cases. We performed RNA sequencing (RNA-seq) on formalin-fixed paraffin-embedded (FFPE) or fresh samples to analyze fusion genes in 26 cases. In addition, we performed genetic abnormalities-based risk stratification using fusion genes and gene mutations.

resultsA total of 305 fusion genes were identified in 22 cases, including the following five recurrent fusion genes: RUNX1-RUNX1T1, CBFβ-MYH11, ETV6-MECOM, FUS-ERG, and PICALM-MLLT10. The prognosis in the adverse-risk group was significantly worse than that in the favorable/intermediate-risk group (median survival: 12 months vs. not reached; p = 0.0004).

conclusionThese results indicated the efficacy of RNA-seq using FFPE-derived RNA as a clinical routine for detecting fusion genes, which can be used as markers for risk stratification in MS.

Indexed as

Sarcoma, MyeloidBase SequenceHumansMutationOncogene Proteins, FusionSequence Analysis, RNATranscription FactorsOncogene Proteins, FusionPICALM-MLLT10 fusion protein, humanTranscription Factorsmyeloid sarcomarisk stratificationRNA sequencing

Identifiers

PMID36916780
PMCPMC10166975
OpenAlexW4324130285

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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.