Evidence map›Paper›PMID 26205786›Full record

ArticleGastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association2016

Abundant copy-number loss of CYCLOPS and STOP genes in gastric adenocarcinoma.

Ioana Cutcutache, Alice Yingting Wu, Yuka Suzuki, John Richard McPherson, Zhengdeng Lei, Niantao Deng, Shenli Zhang, Wai Keong Wong, Khee Chee Soo, Weng Hoong Chan and 4 more

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In one paragraph

Article in Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.2field-weighted citation impact, top 41% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Non-coding RNAs underlying chemoresistance in gastric cancer.Cellular oncology (Dordrecht, Netherlands) · 2020
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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

14 authors at 4 institutions in 2 countries.

Ioana CutcutacheProgram in Cancer and Stem Cell Biology, Duke-NUS Graduate Medical School, Singapore, Singapore.
Alice Yingting WuProgram in Cancer and Stem Cell Biology, Duke-NUS Graduate Medical School, Singapore, Singapore.
Yuka SuzukiProgram in Cancer and Stem Cell Biology, Duke-NUS Graduate Medical School, Singapore, Singapore.
John Richard McPhersonProgram in Cancer and Stem Cell Biology, Duke-NUS Graduate Medical School, Singapore, Singapore.
Zhengdeng LeiProgram in Cancer and Stem Cell Biology, Duke-NUS Graduate Medical School, Singapore, Singapore.
Niantao DengProgram in Cancer and Stem Cell Biology, Duke-NUS Graduate Medical School, Singapore, Singapore.
Shenli ZhangProgram in Cancer and Stem Cell Biology, Duke-NUS Graduate Medical School, Singapore, Singapore.
Wai Keong WongDepartment of General Surgery, Singapore General Hospital, Singapore, Singapore.
Khee Chee SooDepartment of General Surgery, Singapore General Hospital, Singapore, Singapore.
Weng Hoong ChanDepartment of General Surgery, Singapore General Hospital, Singapore, Singapore.
London Lucien OoiDepartment of General Surgery, Singapore General Hospital, Singapore, Singapore.
Roy WelschComputation and Systems Biology, Singapore-MIT Alliance, Singapore, Singapore.
Patrick TanProgram in Cancer and Stem Cell Biology, Duke-NUS Graduate Medical School, Singapore, Singapore. gmstanp@duke-nus.edu.sg.
Steven G RozenProgram in Cancer and Stem Cell Biology, Duke-NUS Graduate Medical School, Singapore, Singapore. steve.rozen@duke-nus.edu.sg.
Duke-NUS Medical School · SGSingapore General Hospital · SGMassachusetts Institute of Technology · USSingapore-MIT Alliance for Research and Technology · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGastric cancer, a leading cause of cancer death worldwide, has been little studied compared with other cancers that impose similar health burdens. Our goal is to assess genomic copy-number loss and the possible functional consequences and therapeutic implications thereof across a large series of gastric adenocarcinomas.

methodsWe used high-density single-nucleotide polymorphism microarrays to determine patterns of copy-number loss and allelic imbalance in 74 gastric adenocarcinomas. We investigated whether suppressor of tumorigenesis and/or proliferation (STOP) genes are associated with genomic copy-number loss. We also analyzed the extent to which copy-number loss affects Copy-number alterations Yielding Cancer Liabilities Owing to Partial losS (CYCLOPS) genes-genes that may be attractive targets for therapeutic inhibition when partially deleted.

resultsThe proportion of the genome subject to copy-number loss varies considerably from tumor to tumor, with a median of 5.5 %, and a mean of 12 % (range 0-58.5 %). On average, 91 STOP genes were subject to copy-number loss per tumor (median 35, range 0-452), and STOP genes tended to have lower copy-number compared with the rest of the genes. Furthermore, on average, 1.6 CYCLOPS genes per tumor were both subject to copy-number loss and downregulated, and 51.4 % of the tumors had at least one such gene.

conclusionsThe enrichment of STOP genes in regions of copy-number loss indicates that their deletion may contribute to gastric carcinogenesis. Furthermore, the presence of several deleted and downregulated CYCLOPS genes in some tumors suggests potential therapeutic targets in these tumors.

Indexed as

Gene DosageGene Expression Regulation, NeoplasticAdenocarcinomaCell ProliferationGenes, Tumor SuppressorHumansLoss of HeterozygosityPolymorphism, Single NucleotideStomach NeoplasmsDNA copy number changeGastric cancerLoss of heterozygosityTumor suppressor genes

Identifiers

PMID26205786
PMCPMC4824836
OpenAlexW2151538847

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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.