Gastric Cancer Connect
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European-Australasian consensus on the management of advanced gastric and gastro-oesophageal junction cancer: current practice and new directions

European-Australasian consensus on the management of advanced gastric and gastro-oesophageal junction cancer: current practice and new directions

Source : https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9425884/

Gastric carcinoma and gastro-oesophageal junction (GC/GEJ) carcinoma remain a significant global problem, with patients presenting with symptoms often found to have advanced or metastatic disease. Treatment options for these patients...


Conclusion/Relevance: In this review, we highlight the positive evidence from key trials that have led to our current practice algorithm, with particular focus on the refractory advanced disease setting, discussing the areas of active research and highlighting the factors, including biomarkers and the influence of ethnicity, that contribute to...

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    Key Points • Source: Therapeutic Advances in Medical Oncology • Conclusion: “In this review, we highlight the positive evidence from key trials that have led to our current practice algorithm, with particular focus on Show More
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Machine learning: A non-invasive prediction method for gastric cancer based on a survey of lifestyle behaviors

Machine learning: A non-invasive prediction method for gastric cancer based on a survey of lifestyle behaviors

Source : https://www.frontiersin.org/articles/10.3389/frai.2022.956385/full

Gastric cancer remains an enormous threat to human health. It is extremely significant to make a clear diagnosis and timely treatment of gastrointestinal tumors. The traditional diagnosis method (endoscope, surgery,...


Conclusion/Relevance: This work aims to construct a cheap, non-invasive, rapid, and high-precision gastric cancer diagnostic model using personal behavioral lifestyles and non-invasive characteristics. A retrospective study was implemented on 3,630 participants. The developed models (extreme gradient boosting, decision tree, random forest, and...

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Deep learning captures selective features for discrimination of microsatellite instability from pathologic tissue slides of gastric cancer - PubMed

Deep learning captures selective features for discrimination of microsatellite instability from pathologic tissue slides of gastric cancer - PubMed

Source : https://pubmed.ncbi.nlm.nih.gov/36054320/

Microsatellite instability (MSI) status is an important prognostic marker for various cancers. Furthermore, because immune checkpoint inhibitors are much more effective in tumors with high level of MSI (MSI-H), MSI...


Conclusion: These results indicate that DL could automatically learn the optimal features for discrimination of MSI status in GC tissue slides. This study demonstrated the potential of a DL-based MSI classifier as a screening tool for definitive cases.

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Ginsenoside Rh1 regulates gastric cancer cell biological behaviours and transplanted tumour growth in nude mice via the TGF-β/Smad pathway - PubMed

Ginsenoside Rh1 regulates gastric cancer cell biological behaviours and transplanted tumour growth in nude mice via the TGF-β/Smad pathway - PubMed

Source : https://pubmed.ncbi.nlm.nih.gov/36054718/

Gastric cancer (GC) is one of the most prevalent malignancies of the digestive tract. Ginsenoside Rh1 was reported to exert effects on GC. The current study set out to explore...


Conclusion: Collectively, our findings highlighted that ginsenoside Rh1 inhibited GC cell growth and tumour growth in xenograft tumour models via inhibition of the TGF-β/Smad pathway.

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Very Early Recurrence After Curative-Intent Surgery for Gastric Adenocarcinoma - Annals of Surgical Oncology

Very Early Recurrence After Curative-Intent Surgery for Gastric Adenocarcinoma - Annals of Surgical Oncology

Source : https://link.springer.com/article/10.1245/s10434-022-12434-y

Background Recurrence after curative-intent surgery can occur in more than 50% of gastric cancer (GC) patients. We sought to identify predictors of very early recurrence (VER) among GC patients who...


Conclusion: One in 6 patients experienced VER following curative-intent surgery for GC. Nomograms to predict risk of VER performed well on internal validation, and stratified patients into distinct prognostic groups relative to 6- and 12-months recurrence.