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Gastric cancer

  • Creator:   Chinese Medical Journal
  • Updated:   6/18/2021
  • Contains:  9 items
Gastric cancer (GC) is a common malignancy and is the third leading cause of cancer-related death. At present, there is no simple and effective screening method for early-stage GC, and the treatment results and prognosis are poor.

Artificial intelligence in gastrointestinal endoscopy: general overview

El Hajjar, Ahmad; Rey, Jean-François

Chinese Medical Journal. 133(3):326-334, February 5, 2020.

Highlight: Artificial intelligence (AI) has the potential to improve the quality of GI endoscopy at all levels. It will compensate for humans’ errors and limited capabilities by bringing more accuracy, consistency, and higher speed, making endoscopic procedures more efficient and of higher quality. AI showed great results in diagnostic and therapeutic endoscopy in all parts of the GI tract. More studies are still needed before the introduction of this new technology in our daily practice and clinical guidelines. Furthermore, ethical clearance and new legislations might be needed.

Circular RNA in gastric cancer

Li, Xue-Wei; Yang, Wen-Hui; Xu, Jun

Chinese Medical Journal. 133(15):1868-1877, August 5, 2020.

Highlight: At present, there is no simple and effective screening method for early-stage GC, and the treatment results and prognosis are poor. With the continuous improvement of molecular biology techniques, research on circular RNA (circRNA) has gradually expanded over time. Much data supports the role of circRNA in tumorigenesis. Moreover, due to its structural specificity and biological stability, circRNA is anticipated to be a potential biomarker for tumor diagnosis.

Clinical efficacy of the modified Helicobacter pylori eradication therapy for Helicobacter pylori-negative gastric mucosa-associated lymphoid tissue lymphoma: a meta analysis

Xie, Ya-Lin; He, Chun-Yan; Wei, Si-Qi; More

Chinese Medical Journal. 133(11):1337-1346, June 5, 2020.

Highlight: The modified Helicobacter pylori (HP) eradication therapy can be considered an optional therapy for patients with low-grade HP-negative gastric mucosa-associated lymphoid tissue (MALT) lymphoma. However, several limitations were revealed in the meta-analysis. Further systematic reviews and research are required.

Recent advances of miRNAs in the development and clinical application of gastric cancer

Wu, Si-Ran; Wu, Qiong; Shi, Yong-Quan

Chinese Medical Journal. 133(15):1856-1867, August 5, 2020.

Highlight: Gastric cancer (GC) is one of the most common malignant tumors. The mechanism of how GC develops is vague, and therapies are inefficient. The function of microRNAs (miRNAs) in tumorigenesis has attracted the attention from many scientists. During the development of GC, miRNAs function in the regulation of different phenotypes, such as proliferation, apoptosis, invasion and metastasis, drug sensitivity and resistance, and stem-cell-like properties. MiRNAs were evaluated for use in diagnostic and prognostic predictions and exhibited considerable accuracy. This paper reviews recent advances in miRNA mechanisms in the development of GC and the potential use of miRNAs in the diagnosis and treatment of GC.

Endoscopic or laparoscopic resection for small gastrointestinal stromal tumors: a cumulative meta-analysis

Cai, Xian-Lei; Li, Xue-Ying; Liang, Chao; More

Chinese Medical Journal. 133(22):2731-2742, November 20, 2020.

Highlight: In general, endoscopic resection is an alternative method for gastric GISTs ≤ 5 cm. Laparoscopic and endoscopic cooperative surgery may work well in combination. Further randomized controlled trials are recommended to validate or update these results.

Deep neural network-assisted computed tomography diagnosis of metastatic lymph nodes from gastric cancer

Gao, Yuan; Zhang, Zheng-Dong; Li, Shuo; More

Chinese Medical Journal. 132(23):2804-2811, December 5, 2019.

Highlight: This study aimed to identify PGMLNs in enhanced CT images using deep learning networks, and we continuously improved the accuracy of the network through routine deep learning and precision deep learning using CT images with pathologically confirmed metastatic lymph nodes.

Novel endoscopic findings as visualized by non-magnification endoscopy with linked color imaging are indicative of gastric intestinal metaplasia

Min, Min; Dong, Teng-Hui; Liu, Yan; More

Chinese Medical Journal. 132(7):782-788, April 5, 2019.

Highlight: A positive “Purple in Mist” (PIM) finding in a suspicious lesion on linked color imaging (LCI) would complement LCI diagnosis of possible intestinal metaplasia (IM) because of the positive predictive value of PIM. PIM could be a novel endoscopic marker for IM.

LIM domain only 1: an oncogenic transcription cofactor contributing to the tumorigenesis of multiple cancer types

Zhao, Guo-Fa; Du, Li-Qin; Zhang, Lei; More

Chinese Medical Journal. 134(9):1017-1030, May 5, 2021.

Highlight: Studies indicated that LMO1 plays a critical oncogenic role in various types of cancers, including T-cell acute lymphoblastic leukemia, neuroblastoma, gastric cancer, lung cancer, and prostate cancer

Differentiating gastric cancer and gastric lymphoma using texture analysis (TA) of positron emission tomography (PET)

Sun, Yi-Wen; Ji, Chang-Feng; Wang, Han; More

Chinese Medical Journal. 134(4):439-447, February 20, 2021.

Highlight: InertiaGLCM and entropyGLCM were the most discriminating features in differentiating gastric lymphoma from gastric cancer and low-grade gastric lymphoma from gastric cancer, respectively. PET TA can improve the differential diagnosis of gastric neoplasms, especially in tumors with similar degrees of fluorodeoxyglucose uptake.