Article
Oncology
Ruopeng Zhang, Xiaojiang Chen, Guoming Chen, Zhoukai Zhao, Yicheng Wei, Feiyang Zhang, Jun Lin, Runcong Nie, Yingbo Chen
Summary: This study explored a novel prognostic assessment method for gastric cancer patients by combining three important tumor markers (CEA, CA72-4, and CA19-9). The results showed that the combined use of tumor markers significantly improved the prognostic value compared with using a single marker, and an accurate and effective survival prediction model was established.
ANNALS OF SURGICAL ONCOLOGY
(2023)
Article
Cell Biology
Shenghan Lou, Jian Zhang, Xin Yin, Yao Zhang, Tianyi Fang, Yimin Wang, Yingwei Xue
Summary: Low tumour purity in gastric cancer is associated with poorer clinical outcomes, shorter survival time, faster recurrence, and specific tumour phenotypes. In addition, low tumour purity is strongly linked to immune and stromal cell functions, and patients with low purity may not benefit significantly from adjuvant chemotherapy. Comprehensive evaluation of tumour purity can provide insights into GC molecular mechanisms and aid in the development of individualised treatment strategies.
FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY
(2022)
Article
Immunology
Xin Qing, Wenjing Xu, Shengli Liu, Zhencheng Chen, Chunping Ye, Yewei Zhang
Summary: This study systematically assessed the association between angiogenesis and gastric cancer (GC). The authors identified two molecular subtypes and determined the correlation between angiogenesis-associated genes mutations, clinicopathological characteristics, prognosis, immune cell infiltration, and tumor microenvironment. They established an AAG_score for predicting overall survival (OS) and created a reliable nomogram for clinical viability. The study provides insights into the characteristics of TME and potential immunotherapy strategies in GC.
FRONTIERS IN IMMUNOLOGY
(2022)
Article
Oncology
Xinyue Li, Jing Yang
Summary: This study investigated the relationship between tumor deposits and clinicopathological characteristics, tumor-infiltrating lymphocytes, and prognosis in gastric cancer. The results showed a significant association between tumor deposits and various characteristics and prognosis of gastric cancer, with patients having more than 4 tumor deposits having a worse prognosis.
WORLD JOURNAL OF SURGICAL ONCOLOGY
(2022)
Article
Cell Biology
An Zhi Zhang, Xin Yuan, Wei Hua Liang, Hai Jun Zhang, Ya Li, Yu Fang Xie, Jiang Fen Li, Chen Hao Jiang, Fan Ping Li, Xi Hua Shen, Li Juan Pang, Hong Zou, Wen Hu Zhou, Feng Li, Jian Ming Hu
Summary: Immunotherapy has rapidly developed and become an important method for treating gastric cancer. The presence of tumor infiltrating immune cells and immune-related genes in the tumor microenvironment greatly influence tumor progression and prognosis.
FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY
(2022)
Article
Oncology
Dita Ulase, Hans-Michael Behrens, Sandra Krueger, Steffen M. Heckl, Ulrike Ebert, Thomas Becker, Christoph Roecken
Summary: This study analyzed the spatial distribution of LAG3 + cells in gastric cancer and its correlation with clinicopathological and survival data. The results demonstrated significant differences in the spatial distribution of LAG3 + cells and their association with prognosis. The findings highlight the importance of LAG3 as a potential prognostic factor and suggest its role in clinical outcomes and treatment responses.
JOURNAL OF CANCER RESEARCH AND CLINICAL ONCOLOGY
(2023)
Article
Medicine, Research & Experimental
Yilin Lin, Xiangxiang Jing, Zhihua Chen, Xiaoxian Pan, Duo Xu, Xiang Yu, Fengyun Zhong, Long Zhao, Changjiang Yang, Bo Wang, Shan Wang, Yingjiang Ye, Zhanlong Shen
Summary: This study constructed an HDAC score (HDS) model based on the expression characteristics of histone deacetylases (HDACs) in gastric cancer to evaluate the tumor microenvironment (TME) and predict the efficacy of immunotherapy. The findings showed that patients with a high HDS had stronger immunogenicity and could benefit more from immunotherapy. In addition, inhibition of the MIF signaling pathway in the TME and GPX4 expression in tumor cells may be important strategies for cold tumor synergistic immunotherapy in gastric cancer.
Article
Biochemical Research Methods
Chen Wei, Mingkai Chen, Wenying Deng, Liangyu Bie, Yijie Ma, Chi Zhang, Kangdong Liu, Wei Shen, Shuyi Wang, Chaogang Yang, Suxia Luo, Ning Li
Summary: This study developed and validated the prognostic and predictive potential of the GCSC-related score (GCScore) using a multi-step machine learning approach. The high GCScore subgroup was associated with stem cell characteristics and a potential immune escape mechanism. Experimental evidence demonstrated that CD206(+) tumor-associated macrophages infiltration maintained the stem cell properties of tumor cells. The GCScore showed robust capacity for predicting immunotherapy response, and potential therapeutic targets and compounds for high GCScore patients were identified. The proposed GCScore can be a promising predictor for prognosis and immunotherapy response in GCSCs, providing new strategies for precision treatment.
BRIEFINGS IN BIOINFORMATICS
(2022)
Article
Biochemistry & Molecular Biology
Min Jiang, Changyin Fang, Yongping Ma
Summary: This study aimed to determine the correlation between pyroptosis-related lncRNAs and gastric cancer prognoses. A predictive signature including six pyroptosis-related lncRNAs was established and confirmed to possess good predictive performance. High-risk gastric cancer patients were found to benefit from the combination of immunotherapy and chemotherapy. These findings highlight the potential of pyroptosis-related lncRNAs as novel biomarkers for the prognosis and treatment of gastric cancer.
Article
Medicine, General & Internal
Jinfeng Zhu, Chen Luo, Jiefeng Zhao, Xiaojian Zhu, Kang Lin, Fanqin Bu, Zhonglin Yu, Feilong Zou, Zhengming Zhu
Summary: The study revealed that high expression of LOX in gastric cancer tissues is significantly associated with poor overall survival, LOX overexpression is closely correlated with T-stage progression in gastric cancer, and LOX is an independent factor affecting the prognosis of gastric cancer patients.
FRONTIERS IN MEDICINE
(2021)
Article
Oncology
Jinpu Yang, Jiaren Xu, Zongxin Ling, Xinxin Zhou, Yongqiang Si, Xiaosun Liu, Feng Ji
Summary: This study investigated the prognostic value of gastric microbiota in different stomach microhabitats and found that patients with different prognoses had different gastric microbiota compositions and diversity. The characteristic alterations of the gastric mucosal microbiota may serve as markers for clinical outcomes in these patients.
Article
Oncology
Yusuke Itai, Yoshitake Ueda, Tsuyoshi Etoh, Yoshinori Shirasaka, Hidefumi Shiroshita, Norio Shiraishi, Tsutomu Daa, Masafumi Inomata
Summary: Granulomatous formation similar to sarcoidosis in gastric cancer, known as sarcoid-like reaction (SR), is frequent in elderly patients and may serve as a favorable prognostic indicator, reflecting immune activation in the host.
JOURNAL OF SURGICAL ONCOLOGY
(2021)
Article
Immunology
Zhonghan Wu, Jingjing Zheng, Haoke Zhang, Ningzhe Shen, Xiaohui Luo, Chenfang Shen, Peining Song, Yu Zhang, Min Zhang, Shaopeng Yang, Gangqiang Guo, Xiangyang Xue, Fabiao Zhang, Shiyu Feng
Summary: NEK2 is upregulated in gastric cancer and is associated with a poor prognosis. NEK2 may promote gastric cancer development by regulating immune cell infiltration and weakening immune activity. Targeted therapy with drugs targeting the cell cycle and DNA replication is more effective in patients with high NEK2 expression.
INTERNATIONAL IMMUNOPHARMACOLOGY
(2023)
Article
Oncology
Yawei Zhang, Han Wang, Xiaoyu Xu, Huifang Liu, Tengfei Hao, Songcheng Yin, Changhua Zhang, Yulong He
Summary: The expression of LILRB1 is associated with advanced tumor stage, higher recurrence risk, and worse survival in gastric cancer. LILRB1+ M2 TAMs play a crucial role in creating an immunosuppressive microenvironment and predicting poor prognosis. Therapeutic targeting of LILRB1+ M2 TAMs may be essential for improving the treatment outcomes in gastric cancer.
FRONTIERS IN ONCOLOGY
(2021)
Article
Cell Biology
Xiaogang Shen, Meng Wang, Wenxi Chen, Yu Xu, Qiaoxia Zhou, Tengfei Zhu, Guoqiang Wang, Shangli Cai, Yusheng Han, Chunwei Xu, Wenxian Wang, Lei Meng, Hao Sun
Summary: A prognostic signature based on senescence-related genes was developed using a machine learning algorithm. This model can be used for risk stratification and predicting response to systemic therapy in gastric cancer.
