Evidence map›Paper›PMID 22969854›Full record

ArticleExperimental and therapeutic medicine2012

Development of a survival prediction model for gastric cancer using serine proteases and their inhibitors.

Ke-Feng Lei, Bing-Ya Liu, Xiao-Qing Zhang, Xiao-Long Jin, Yan Guo, Min Ye, Zheng-Gang Zhu

Open access · bronzeAbstract read
In one paragraph

Article in Experimental and therapeutic medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.3field-weighted citation impact, top 39% 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

10 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Discovery and validation of an expression signature for recurrence prediction in high-risk diffuse-type gastric cancer.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2021
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Prognostic significance of human tissue kallikrein-related peptidases 11 and 15 in gastric cancer.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016
    Article
  10. The diagnostic and prognostic value of serum human kallikrein-related peptidases 11 in non-small cell lung cancer.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
    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

7 authors at 3 institutions in 1 country.

Ke-Feng LeiDepartment of Surgery, Shanghai Institute of Digestive Surgery;
Bing-Ya Liu
Xiao-Qing Zhang
Xiao-Long Jin
Yan Guo
Min Ye
Zheng-Gang Zhu
Ruijin Hospital · CNShanghai Jiao Tong University · CNShanghai Institute of Hematology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Proteolytic enzymes play a key role in the metastatic stage of gastric cancer (GC). In this study, we aimed to identify the serine proteases (SPs) and their inhibitors (serpins) as related to GC. The gene expression profiles of 40 cases of GC were initially detected by cDNA microarray. The results of the differentially expressed SPs and their inhibitor genes from the microarrays were confirmed by real-time PCR. The status of the immunohistochemical staining of the confirmed genes in patients with complete data was used to develop a survival prediction model. Finally, the prediction model was tested in different groups of GC patients. As a result, seven genes, SERPINB5, KLK10, KLK11, HPN, SPINK1, SERPINA5 and PRSS8, were considered as GC progression-related genes. A survival prediction model including the immunohistochemical scores of three genes and the tumor node metastasis (TNM) score was developed: Survival time (months) = 88.8607 + 2.6395 SERPINB5 - 12.0772 KLK10 + 13.7562 KLK11 - 7.0318 TNM. In conclusion, SERPINB5, KLK10, KLK11, HPN, SPINK1, SERPINA5 and PRSS8 were GC progression-related SPs or serpin genes. The model consisting of the expression profiles of three genes extracted from the microarray study accompanied by the TNM score accurately predicts surgery-related survival of GC patients.

Identifiers

PMID22969854
PMCPMC3438548
OpenAlexW2061596384

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.