ArticleWorld journal of gastroenterology2020
Cancer/testis antigen, Kita-Kyushu lung cancer antigen-1 and ABCD stratification for diagnosing gastric cancers.
Article in World journal of gastroenterology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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.
The trial behind it
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Who cites it
5 citing papers in PubMed, 13 citations in OpenAlex.
- Article
- Early detection of gastric cancer in China: progress and opportunities.Cancer biology & medicine · 2022Article
- Kita-Kyushu Lung Cancer Antigen-1 (KK-LC-1): A Promising Cancer Testis Antigen.Aging and disease · 2022Review
- Multiomics analysis reveals CT83 is the most specific gene for triple negative breast cancer and its hypomethylation is oncogenic in breast cancer.Scientific reports · 2021Article
- Application of serum pepsinogen and carbohydrate antigen 72-4 (CA72-4) combined with gastrin-17 (G-17) detection in the screening, diagnosis, and evaluation of early gastric cancer.Journal of gastrointestinal oncology · 2021Article
Corrections and comments
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Authors and funding
11 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe ABCD stratification [(combination of serum pepsinogen (PG) levels and titers of antibody (immunoglobulin G, IgG) against
aimTo evaluate the effectiveness of KK-LC-1 and ABCD stratification in the diagnosis of GC.
methodsWe analyzed the gene expression of KK-LC-1 in surgical specimens obtained from GC tumors. The levels of serum PG I/PG II and IgG against
resultsOf the 77 examined patients, 63 (81.8%) expressed KK-LC-1. The IgG titers of
conclusionThe KK-LC-1 expression in GC was associated with
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Registered trials
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.