Article
Oncology
David J. Birnbaum, Sebastian K. S. Begg, Pascal Finetti, Charles Vanderburg, Anupriya S. Kulkarni, Azfar Neyaz, Thomas Hank, Eric Tai, Vikram Deshpande, Francois Bertucci, Daniel Birnbaum, Keith D. Lillemoe, Andrew L. Warshaw, Mari Mino-Kenudson, Carlos Fernandez-Del Castillo, David T. Ting, Andrew S. Liss
Summary: This study identified specific molecular subtypes of PDAC through laser capture microdissection, and found gene expression signatures associated with short-term and long-term survival. These findings provide new insights into predicting patient survival based on the cancer- and stroma-specific features of PDAC.
CLINICAL CANCER RESEARCH
(2021)
Article
Pharmacology & Pharmacy
Yiming Hu, Jiaheng Xie, Liang Chen, Qikai Tang, Wei Wei, Wenfeng Lin, Wang Du, Tinghong Xiang, Lu Yin, Jing Ji
Summary: In this study, we identified a novel breast cancer biomarker, GTP-binding protein 4 (GTPBP4), which can serve as a guide for diagnosis and treatment of breast cancer. GTPBP4 was found to be upregulated in breast cancer and associated with multiple functions and pathways. Furthermore, GTPBP4 was associated with various immune cell types. In vitro experiments demonstrated that knockdown of GTPBP4 significantly reduced the activity, migration, and proliferation of breast cancer cells.
FRONTIERS IN PHARMACOLOGY
(2022)
Article
Biochemistry & Molecular Biology
Feng Jiang, Xiaolu Huang, Fan Zhang, Jingjing Pan, Junjun Wang, Lijuan Hu, Jie Chen, Yumin Wang
Summary: This study identified 9 prognostic genes for pancreatic cancer through bioinformatics research and found that these genes could be used to divide early cases into two subgroups with significant prognosis and functional differences. Additionally, the high expression of these genes was closely related to the immune-dominant status of the tumor microenvironment.
DNA AND CELL BIOLOGY
(2022)
Article
Oncology
Caiyun Song, Jionghuang Chen, Chaolei Zhang, Dapeng Dong
Summary: This study analyzed the expression of ADAMTS12 in pan-cancer using TCGA and GTEx databases. The results showed that ADAMTS12 is overexpressed in pancreatic adenocarcinoma and is associated with poor prognosis and an immunosuppressive microenvironment.
FRONTIERS IN ONCOLOGY
(2022)
Article
Cell Biology
Gangping Tu, Wenzhe Gao, Ying Li, Yating Dian, Bingyang Xue, Li Niu, Xiao Yu, Hongwei Zhu
Summary: S100A16, highly expressed in pancreatic cancer tissues, might be associated with poor prognosis. By analyzing gene expression differences, clinical characteristics, and establishing a risk score system, the study successfully predicted the survival time of patients with PDAC.
FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY
(2021)
Article
Genetics & Heredity
Liang Chen, Yunhua Lin, Wei Wei, Yue Wang, Fangyue Li, Wang Du, Zhonghua Yang, Yiming Hu, Xiaomei Ying, Qikai Tang, Jiaheng Xie, Hongzhu Yu
Summary: This study developed a glycolysis-related signature that can predict the prognosis and risk subtypes of pancreatic cancer patients, providing personalized management in the clinical setting.
FRONTIERS IN GENETICS
(2022)
Article
Cell Biology
Huan Wang, Qi Cheng, Kaikai Chang, Lingjie Bao, Xiaofang Yi
Summary: This study examined the diagnostic, prognostic, and therapeutic value of ferroptosis-related genes in ovarian cancer using transcriptomic data. A reliable ferroptosis signature for ovarian cancer diagnosis was identified. A prognostic signature and a risk score model based on three genes were constructed and validated. The results suggested a potential crosstalk between ferroptosis and immunity in ovarian cancer, with implications for prognosis and treatment decision-making.
FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY
(2022)
Article
Cell Biology
Xingui Wu, Ruyuan Yu, Meisongzhu Yang, Yameng Hu, Miaoling Tang, Shuxia Zhang, Ainiwaerjiang Abudourousuli, Xincheng Li, Ziwen Li, Xinyi Liao, Yingru Xu, Man Li, Suwen Chen, Wanying Qian, Rongni Feng, Jun Li, Fenjie Li
Summary: The study reveals that metabolic pathways are disordered in pancreatic cancer and identifies key gene modules associated with the progression of pancreatic cancer. Furthermore, the study confirms the correlation between pancreatic cancer stages, M2 macrophages, and glutathione peroxidase 2 (GPX2).
FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY
(2022)
Review
Oncology
Xingliang Fang, Huanrong Lan, Ketao Jin, Jun Qian
Summary: Pancreatic cancer is a highly dangerous disease, and understanding its progress and regression is crucial. Exosomes derived from various cells, including tumor cells, can impact the tumor microenvironment and play a role in cancer development. Detecting specific molecules carried by exosomes in blood and body fluids can aid in early diagnosis and monitoring of pancreatic cancer. Additionally, immune cell-derived exosomes and mesenchymal stem cell-derived exosomes have the potential for pancreatic cancer treatment through enhancing anti-tumor properties or drug loading. Overall, exosomes form a complex communication network that is involved in pancreatic cancer progression, diagnosis, monitoring, and treatment.
FRONTIERS IN ONCOLOGY
(2023)
Article
Cell Biology
Shaobo Mo, Weixing Dai, Zheng Zhou, Ruiqi Gu, Yaqi Li, Wenqiang Xiang, Lingyu Han, Long Zhang, Renjie Wang, Guoxiang Cai, Sanjun Cai, Lu Gan, Qingguo Li
Summary: The study identified that the epithelial-mesenchymal transition (EMT) signaling pathway is closely related to lymph node metastasis (LNM) in colorectal cancer (CRC). The discovered EMT-related gene signature accurately sorted high- and low-risk CRC patients. Further functional analysis and clinical evaluation indicated that these genes may play crucial roles in the proliferation and metastasis of CRC.
FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY
(2021)
Article
Immunology
Xueyong Zheng, Xiaolong Liu, Haishui Zheng, Huina Wang, Defei Hong
Summary: This study analyzed differential gene expression in PAAD and identified COL11A1 as an immune infiltrates correlated prognosticator in pancreatic adenocarcinoma, highlighting its potential as a significant predictor in the disease.
INTERNATIONAL IMMUNOPHARMACOLOGY
(2021)
Article
Biochemistry & Molecular Biology
Ibrahim H. Kaya, Olfat Al-Harazi, Mustafa T. Kaya, Dilek Colak
Summary: This study utilized a multi-omics approach to identify blood-based gene markers for early NSCLC that are associated with poor prognosis. The 12-gene signature showed diagnostic and prognostic potential, independently predicting disease outcome. The altered functions, pathways, and gene networks further highlighted key genes and cancer-related pathways in NSCLC transformation.
FRONTIERS IN MOLECULAR BIOSCIENCES
(2022)
Article
Multidisciplinary Sciences
Jihao Tu, Zhehao Huang, Yin Wang, Meijing Wang, Zukun Yin, Xianglin Mei, Meiying Li, Lisha Li
Summary: This study analyzed transcriptome data and constructed co-expression networks to reveal gradually activated gene networks during the progression of pancreatic diseases. The number of differentially expressed genes increases as the pancreatic disease worsens, with upregulation of gene networks involving T cells and interferon.
SCIENTIFIC REPORTS
(2021)
Article
Oncology
Haolan Wang, Liqing Lu, Xujun Liang, Yongheng Chen
Summary: Pancreatic adenocarcinoma (PAAD) is a common cause of death among solid tumors, and this study identified the value of immune/stromal-related genes in the prognosis of PAAD through comprehensive bioinformatics analysis and experimental validation, highlighting PLAU as a potential diagnostic and therapeutic target.
CANCER IMMUNOLOGY IMMUNOTHERAPY
(2022)
Article
Medicine, Research & Experimental
Yea Ji Jeong, Hildur Knutsdottir, Fatemeh Shojaeian, Michael G. Lerner, Maria F. Wissler, Elodie Henriet, Tammy Ng, Shalini Datta, Bernat Navarro-Serer, Peter Chianchiano, Benedict Kinny-Koester, Jacquelyn W. Zimmerman, Genevieve Stein-O'Brien, Matthias M. Gaida, James R. Eshleman, Ming-Tseh Lin, Elana J. Fertig, Andrew J. Ewald, Joel S. Bader, Laura D. Wood
Summary: We identified the transcriptomic programs associated with invasion in pancreatic ductal adenocarcinoma (PDAC) cells, and found different groups of genes correlated with different invasion patterns. By analyzing single-cell RNA sequencing data, we observed differences in the tumor microenvironment between transcriptomic groups, suggesting that non-neoplastic cells can modulate tumor cell invasion.
JOURNAL OF CLINICAL INVESTIGATION
(2023)