Evidence map›Paper›PMID 34060350›Full record

ArticleTechnology in cancer research & treatment

Transcriptome Analysis and the Prognostic Role of NUDC in Diffuse and Intestinal Gastric Cancer.

Sang-Ho Jeong, Miyeong Park, Sun Yi Park, Jiho Park, Tae-Han Kim, Young-Joon Lee, Eun-Jung Jung, Young-Tae Ju, Chi-Young Jeong, Ju-Yeon Kim and 4 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Technology in cancer research & treatment. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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

14 authors at 4 institutions in 2 countries.

Sang-Ho JeongDepartment of Surgery, School of Medicine, 26720Gyeongsang National University, Jinju, South Korea.ORCID 0000-0001-9061-6236
Miyeong ParkDepartment of Anesthesiology, 553954Gyeongsang National University, Changwon Hospital, Changwon, South Korea.
Sun Yi ParkDepartment of Surgery, School of Medicine, 26720Gyeongsang National University, Jinju, South Korea.
Jiho ParkDepartment of Surgery, School of Medicine, 26720Gyeongsang National University, Jinju, South Korea.
Tae-Han KimDepartment of Surgery, 553954Gyeongsang National University, Changwon Hospital, Changwon, South Korea.
Young-Joon LeeDepartment of Surgery, School of Medicine, 26720Gyeongsang National University, Jinju, South Korea.
Eun-Jung JungDepartment of Surgery, School of Medicine, 26720Gyeongsang National University, Jinju, South Korea.
Young-Tae JuDepartment of Surgery, School of Medicine, 26720Gyeongsang National University, Jinju, South Korea.
Chi-Young JeongDepartment of Surgery, School of Medicine, 26720Gyeongsang National University, Jinju, South Korea.
Ju-Yeon KimDepartment of Surgery, School of Medicine, 26720Gyeongsang National University, Jinju, South Korea.
Gyung Hyuck KoDepartment of Pathology, School of Medicine, 26720Gyeongsang National University, Jinju, South Korea.
Minhye KimDepartment of Pathology, School of Medicine, 26720Gyeongsang National University, Jinju, South Korea.
Ki Taek NamSeverance Biomedical Science, 37991Yonsei University College of Medicine, Seodaemun-gu, South Korea.
James R GoldenringSchool of Medicine, 12328Vanderbilt University, Nashville, TN, USA.
Gyeongsang National University · KRChangwon National University · KRVanderbilt University · USYonsei University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThere have been few studies about gene differences between patients with diffuse-type gastric cancer and those with intestinal-type gastric cancer. The aim of this study was to compare the transcriptomes of signet ring cell gastric cancer (worst prognosis in diffuse-type) and well-differentiated gastric cancer (best prognosis in intestinal-type); NUDC was identified, and its prognostic role was studied. MATERIALS AND

methodsWe performed next-generation sequencing with 5 well-differentiated gastric cancers and 3 of signet ring cell gastric cancer surgical samples. We performed gene enrichment and functional annotation analysis using the Database for Annotation, Visualization and Integrated Discovery bioinformatics resources. Immunohistochemistry was used to validate NUDC expression.

resultsOverall, 900 genes showed significantly higher expression, 644 genes showed lower expression in signet ring cell gastric cancer than in well-differentiated gastric cancers, and there was a large difference in adhesion, vascular development, and cell-to-cell junction components between the 2 subtypes. We performed variant analysis and found 52 variants and 30 cancer driver genes, including NUDC. We analyzed NUDC expression in gastric cancer tissue and its relationship with prognosis. Cox proportional hazard analysis identified T stage, N stage, and NUDC expression as independent risk factors for survival (

conclusionWe found 30 cancer driver gene candidates and found that the NUDC-positive group showed significantly better survival than the NUDC-negative group via variant analysis.

Indexed as

TranscriptomeAgedBiomarkers, TumorCarcinoma, Signet Ring CellCell Cycle ProteinsCell DifferentiationFemaleGene Expression ProfilingHumansKaplan-Meier EstimateMaleMiddle AgedNeoplasm GradingNeoplasm StagingNuclear ProteinsPrognosisBiomarkers, TumorCell Cycle ProteinsNuclear ProteinsNUDC protein, humanbiomarkerimmunohistochemistrysignet ring cellstomach neoplasmtranscriptome sequencing

Identifiers

PMID34060350
PMCPMC8173992
OpenAlexW3164927546

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.