Evidence map›Paper›PMID 29484624›Full record

ArticleClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2018

Deep sequencing reveals the molecular pathology characteristics between primary uterine leiomyoma and pulmonary benign metastasizing leiomyoma.

J Jiang, M He, X Hu, C Ni, L Yang

Abstract readCase Reports
PubMed Publisher
In one paragraph

Article in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

12 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Benign Metastasizing Leiomyoma: Is "Wait and Watch" Strategy Feasible?Reproductive sciences (Thousand Oaks, Calif.) · 2023
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Gender Differences and Quality of Life in Parkinson's Disease.International journal of environmental research and public health · 2020
    Review
  10. Article
  11. Article
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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

5 authors at 3 institutions in 1 country.

J JiangDepartment of Second Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, 310000, Zhejiang, People's Republic of China.
M HeDepartment of Medical Oncology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, 310014, Zhejiang, People's Republic of China.
X HuKey Laboratory of Tumor Molecular Diagnosis and Individualized Medicine of Zhejiang Province, Key Laboratory of Gastroenterology of Zhejiang Province, Zhejiang Provincial People's Hospital, Shang Tang Road 158, Hangzhou, 310014, Zhejiang, People's Republic of China. huxiaoge2008xmu@163.com.
C NiKey Laboratory of Tumor Molecular Diagnosis and Individualized Medicine of Zhejiang Province, Key Laboratory of Gastroenterology of Zhejiang Province, Zhejiang Provincial People's Hospital, Shang Tang Road 158, Hangzhou, 310014, Zhejiang, People's Republic of China. davenc@163.com.ORCID http://orcid.org/0000-0002-2724-8896
L YangKey Laboratory of Tumor Molecular Diagnosis and Individualized Medicine of Zhejiang Province, Key Laboratory of Gastroenterology of Zhejiang Province, Zhejiang Provincial People's Hospital, Shang Tang Road 158, Hangzhou, 310014, Zhejiang, People's Republic of China. yangliuqq2003@163.com.
Zhejiang Provincial People's Hospital · CNZhejiang Chinese Medical University · CNZhejiang University · CN

Funding

the CSCO Merck Serono Oncology Research Fund Y-MX2015-038the Key Research Project of Science Technology Department of Zhejiang Province 2015C03030the National Natural Science Fundation of China 81502463the National Natural Science Fundation of China 81772575the Natural Science Foundation of Zhejiang Province LQ15H070004the Natural Science Foundation of Zhejiang Province LY15H160053the Science Technology Department of Zhejiang Province 2016C33116
6 · The paper itself

Abstract

purposePulmonary benign metastasizing leiomyoma (PBML), a rare condition of smooth muscle tumor, originates from women with a history of uterine leiomyoma (LM). Numerous genetic studies of uterine LM have been reported; however, there are few cytogenetic and molecular descriptions of PBML. Therefore, molecular subtyping is necessary to understand the pathogenesis of metastasizing sites.

methodsDriver gene exon-capture sequencing was performed on one patient's peripheral blood, paraffin samples from primary uterine LM, and lung metastasizing leiomyoma 8 years later.

resultsThe results showed that the same missense mutations of BLMH, LRP2, MED12, SMAD2, and UGT1A8 were concurrently mutated in the primary uterine LM and the PBML. Moreover, a splice mutation of PTEN (c.492+1G>A) was uniquely identified in the lung metastasis of the patient.

conclusionThis study indicates that the metastatic lung lesions were derived from the same malignant cell clone of uterine LMs and later acquired the novel driver mutations in the evolution of the tumor. In addition, driver gene sequencing can discriminate somatic driver mutations as biological indicators of potential malignant leiomyoma and can identify pathogenic variation driver mutations, which could be used for individualized therapy.

Indexed as

MutationBiomarkers, TumorFemaleGenetic TestingHigh-Throughput Nucleotide SequencingHumansLeiomyomaLung NeoplasmsMiddle AgedPrognosisUterine NeoplasmsBiomarkers, TumorBenign metastasizing leiomyomaDriver geneTargeted deep sequencingUterine leiomyoma

Identifiers

PMID29484624
OpenAlexW2791306322

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.