Pancreatic cancer is an increasingly common cause of cancer mortality with a tight correspondence between disease mortality and incidence. Furthermore, it is usually diagnosed at an advanced stage with a very dismal prognosis. Due to the high heterogeneity, metabolic reprogramming, and dense stromal environment associated with pancreatic cancer, patients benefit little from current conventional therapy. Recent insight into the biology and genetics of pancreatic cancer has supported its molecular classification, thus expanding clinical therapeutic options. In this review, we summarize how the biological features of pancreatic cancer and its metabolic reprogramming as well as the tumor microenvironment regulate its development and progression. We further discuss potential biomarkers for pancreatic cancer diagnosis, prediction, and surveillance based on novel liquid biopsies. We also outline recent advances in defining pancreatic cancer subtypes and subtype-specific therapeutic responses and current preclinical therapeutic models. Finally, we discuss prospects and challenges in the clinical development of pancreatic cancer therapeutics.
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http://dx.doi.org/10.1038/s41392-021-00659-4 | DOI Listing |
Cancer Sci
January 2025
Department of Experimental Therapeutics, National Cancer Center Hospital, Chuo-ku, Japan.
CBA-1205 is a novel humanized antibody targeting delta-like 1 homolog (DLK1) that enhances antibody-dependent cellular cytotoxicity activity. DLK1 overexpression has been reported in various cancer types, such as hepatocellular carcinoma and neuroblastoma. CBA-1205 demonstrates potent antitumor activity in multiple tumor models, making it a potential treatment option for DLK1-expressing cancers.
View Article and Find Full Text PDFNeoplasma
December 2024
Department of General Surgery/Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital of Gannan Medical University, Ganzhou, Jiangxi, China.
Esophageal squamous cell carcinoma (ESCC) has high mortality. The role and regulatory mechanism of hsa_circ_0021727 (circ_0021727) in ESCC remain largely unknown. This study focused on the undiscovered impact of circ_0021727 on cell cycle progression, apoptosis, and angiogenesis of ESCC.
View Article and Find Full Text PDFOncologist
January 2025
Department of Hepatic Surgery, Tongji Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China.
Background: Peritoneal metastasis (PM) after the rupture of hepatocellular carcinoma (HCC) is a critical issue that negatively affects patient prognosis. Machine learning models have shown great potential in predicting clinical outcomes; however, the optimal model for this specific problem remains unclear.
Methods: Clinical data were collected and analyzed from 522 patients with ruptured HCC who underwent surgery at 7 different medical centers.
JSLS
January 2025
Colon and Rectum Surgery, Clinical Assistant Professor WSUCOM/MSUCHM, Department of Surgery, Ascension Providence Hospital-Michigan State University/College of Human Medicine, Southfield, MI. (Dr. Bhullar).
Background: Orthotopic murine models of pancreatic cancer represent an important tool for evaluating treatment strategies. Several genetically modified mouse tumors and xenograft models have been reported. Genetic models have unpredictable growth and variable waiting period, while orthotopic models are operative ones, difficult to create and result in irregular metastasis.
View Article and Find Full Text PDFFront Mol Biosci
January 2025
Department of Immunology, School of Clinical and Basic Medical Sciences, Shandong First Medical University, Jinan, Shandong, China.
Long non-coding RNAs (lncRNAs) are crucial regulatory molecules that participate in numerous cellular development processes, and they have gathered much interest recently. HOXA10 antisense RNA (HOXA10-AS, also known as HOXA-AS4) is a novel lncRNA that was identified to be dysregulated in some prevalent malignancies. In this review, the clinical significance of HOXA10-AS for the prognosis of various cancers is analyzed.
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