Metastatic pancreatic cancer: Mechanisms and detection (Review)

Oncol Rep. 2021 Nov;46(5):231. doi: 10.3892/or.2021.8182. Epub 2021 Sep 9.

Abstract

Pancreatic cancer (PC) is a lethal malignancy. Its prevalence rate remains low but continues to grow each year. Among all stages of PC, metastatic PC is defined as late‑stage (stage IV) PC and has an even higher fatality rate. Patients with PC do not have any specific clinical manifestations. Most cases are inoperable at the time‑point of diagnosis. Prognosis is also poor even with curative‑intent surgery. Complications during surgery, postoperative pancreatic fistula and recurrence with metastatic foci make the management of metastatic PC difficult. While extensive efforts were made to improve survival outcomes, further elucidation of the molecular mechanisms of metastasis poses a formidable challenge. The present review provided an overview of the mechanisms of metastatic PC, summarizing currently known signaling pathways (e.g. epithelial‑mesenchymal transition, NF‑κB and KRAS), imaging that may be utilized for early detection and biomarkers (e.g. carbohydrate antigen 19‑9, prostate cancer‑associated transcript‑1, F‑box/LRR‑repeat protein 7 and tumor stroma), giving insight into promising therapeutic targets.

Keywords: biomarker; mechanism; pancreatic cancer metastasis; signaling pathway.

Publication types

  • Review

MeSH terms

  • Biomarkers, Tumor
  • Early Detection of Cancer / methods*
  • Humans
  • Magnetic Resonance Imaging
  • Neoplasm Metastasis / diagnostic imaging*
  • Neoplasm Metastasis / pathology*
  • Pancreatic Neoplasms / diagnostic imaging*
  • Pancreatic Neoplasms / pathology*
  • Tomography, X-Ray Computed

Substances

  • Biomarkers, Tumor

Grants and funding

This work was supported by the National Natural Science Foundation of China (grant no. 82073833), Chengdu Science and Technology Bureau focus on research and development support plan (grant no. 2019-YF09-00097-SN), the popular scientific research project of Sichuan Health Commission (grant no. 20PJ171) and Yunnan education program (grant no. SYSX202036).