We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

LabMedica

Download Mobile App
Recent News Expo Medica 2024 Clinical Chem. Molecular Diagnostics Hematology Immunology Microbiology Pathology Technology Industry Focus

Protein Biomarker Helps Diagnose Pancreatic Cancer

By LabMedica International staff writers
Posted on 14 Jul 2021
Pancreatic ductal adenocarcinoma (PDAC), characterized by dense desmoplastic stroma laid down by pancreatic stellate cells (PSC), has no reliable diagnostic biomarkers for timely detection.

Most cancer biomarkers used in clinical practice are proteins released from the cancer cells themselves. One of the defining features of PDAC is that there are very few cancer cells. Pancreatic cancer is surprisingly made up of mostly non-cancer cells, which have been co-opted by cancer to build a huge amount of scar tissue or stroma around the cancer, providing a strong defense for the cancer cells.

Image: The Super Sensitive 1-STEP Polymer HRP IHC detection kit (Photo courtesy of BioGenix)
Image: The Super Sensitive 1-STEP Polymer HRP IHC detection kit (Photo courtesy of BioGenix)

Oncologists at the Queen Mary University of London (London, UK) and their colleagues analyzed blood samples from 267 donors including 140 samples from patients with PDAC Controls included patients with non-neoplastic pancreatico-biliary diseases as well as healthy individuals. Pentraxin 3 (PTX3) concentrations were quantified using the sandwich ELISA method. Western blotting was carried out and quantified using Fiji-ImageJ.

Other methods employed by the scientists were immunofluorescence, immunohistochemical analysis of human tissues (Super Sensitive IHC kit, BioGenix, Houston, TX, USA); mRNA in situ hybridization (ISH) was measured with RNAscope 2.5 HD duplex reagent assay (Advanced Cell Diagnostics, Newark, CA, USA); mini-organotypics; small interfering RNA studies; MTS assay for cell viability. Quantification of all cell counts and intensity of staining was performed in at least three representative images per mini-organotypic gel, and representative images per gel were acquired using a confocal laser scanning microscope LSM 880 (Carl Zeiss, White Plains, NY, USA).

The investigators reported that serum PTX3 above 4.34 ng/mL has a higher sensitivity (86%, 95% confidence interval (CI): 65–97%) and specificity (86%, 95% CI: 79–91%), positive predictive value (97%) and likelihood ratio (6.05), and is superior when compared to serum CA19-9 and CEA for detection of PDAC. The team found that when pancreatic cancer alone is targeted, PTX3 does not seem to change upon administration of chemotherapy; however, when medications targeting both cancer and stroma are administered, changes are seen in PTX3 levels. This change in PTX3 can be easily measured in blood to monitor how the drug is working. Thus, PTX3 may help in monitoring the effectiveness of treatment much earlier than scans may be able to indicate treatment response.

The authors concluded that their study suggests that PTX3 may be a sensitive and specific biomarker able to distinguish cancerous from non-cancerous conditions of the pancreas. The team hopes the findings will provide direction for future prospective clinical trials to determine whether PTX3 could be effective in the clinic as a biomarker for early detection and, perhaps, used in conjunction with other biomarkers to monitor response to treatment of pancreatic cancer. The study was published on June 29, 2021 in the journal npj Precision Oncology.


Related Links:
Queen Mary University of London
BioGenix
Advanced Cell Diagnostics
Carl Zeiss



New
Gold Member
C-Reactive Protein Reagent
CRP Ultra Wide Range Reagent Kit
Automated Blood Typing System
IH-500 NEXT
New
FLU/RSV Test
Humasis FLU/RSV Combo
New
Silver Member
Oncology Molecular Diagnostic Test
BCR-ABL Dx ELITe MGB Kit

Latest Pathology News

New Barcode Technology to Help Diagnose Cancer More Precisely

Mapping of Atherosclerotic Plaque Cells Predicts Future Risk of Stroke or Heart Attack

AI Analysis of Immune Cells Predicts Breast Cancer Prognosis