Evidence map›Paper›PMID 29928354›Full record

ArticleOncology letters2018

Gene expression signature for detection of gastric cancer in peripheral blood.

Jianing Shi, Changming Cheng, Jun Ma, Choong-Chin Liew, Xiaoping Geng

Abstract read
In one paragraph

Article in Oncology letters, 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
–field-weighted citation impact
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.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Prediction of Blood miRNA-mRNA Regulatory Network in Gastric Cancer.Reports of biochemistry & molecular biology · 2021
    Article
  6. Article
  7. Powerful quantifiers for cancer transcriptomics.World journal of clinical oncology · 2020
    Review
  8. Article
  9. Article
  10. Article
  11. Recent advances in gastric cancer early diagnosis.World journal of gastroenterology · 2019
    Review
  12. Peripheral Blood-basedIn vivo (Athens, Greece)
    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

5 authors.

Jianing ShiDepartment of General Surgery, The Second Hospital of Anhui Medical University, Hefei, Anhui 230601, P.R. China.
Changming ChengSentinel Center, Shanghai Biomedical Laboratory, Shanghai 200436, P.R. China.
Jun MaDepartment of Research, Golden Health Diagnostics Inc., Yancheng, Jiangsu 224000, P.R. China.
Choong-Chin LiewSentinel Center, Shanghai Biomedical Laboratory, Shanghai 200436, P.R. China.
Xiaoping GengDepartment of General Surgery, The Second Hospital of Anhui Medical University, Hefei, Anhui 230601, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastric cancer (stomach cancer) is the fifth most common malignancy and the third leading cause of cancer-associated mortality worldwide. Identifying gastric cancer patients at an early and curable stage of the disease is essential if mortality rates for this disease are to decrease. A non-invasive blood-based test that is an indicator of gastric cancer risk would likely be of benefit in identifying gastric cancer patients at an early stage, and such a test may enhance clinical decision making. This study identified a four-gene expression signature in peripheral blood samples associated with gastric cancer. A total of 216 blood samples were collected, including those from 36 gastric cancer patients, 55 healthy controls and 125 patients with other carcinomas, and gene expression profiles were examined using an Affymetrix Gene Profiling microarray. Blood gene expression profiles were compared between patients with stomach cancer, healthy controls and patients affected with other malignancies. A four-gene panel was identified comprising purine-rich element binding protein B, structural maintenance of chromosomes 1A, DENN/MADD domain containing 1B and programmed cell death 4. The four-gene panel discriminated gastric cancer with an area under the receiver-operating-characteristic curve of 0.99, an accuracy of 95%, sensitivity of 92% and specificity of 96%. The non-invasive nature of the blood test, together with the relatively high accuracy of the four-gene panel may assist physicians in gastric cancer screening decision making.

Indexed as

blooddiagnostic testinggastric cancergene expressiongenomicspersonalized medicine

Identifiers

PMID29928354
PMCPMC6004726

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.