Liquid Biopsies for Pancreatic Cancer: A Step Towards Early Detection

2020 ◽  
pp. 108-132
Author(s):  
Joseph Carmicheal ◽  
Rahat Jahan ◽  
Koelina Ganguly ◽  
Ashu Shah ◽  
Sukhwinder Kaur
Keyword(s):  
Pancreatic Cancer ◽  
Early Detection ◽  
Liquid Biopsies

scholarly journals Coupled liquid biopsy and bioinformatics for pancreatic cancer early detection and precision prognostication

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Jun Hou ◽  
XueTao Li ◽  
Ke-Ping Xie
Keyword(s):  
Pancreatic Cancer ◽  
Early Detection ◽  
Residual Disease ◽  
Liquid Biopsies ◽  
Tissue Samples ◽  
Complete Representation ◽  
Minimal Invasiveness ◽  
Cancer Early Detection ◽  
Pancreatic Cancer Cells ◽  
Repeated Sampling

AbstractEarly detection and diagnosis are the key to successful clinical management of pancreatic cancer and improve the patient outcome. However, due to the absence of early symptoms and the aggressiveness of pancreatic cancer, its 5-year survival rate remains below 5 %. Compared to tissue samples, liquid biopsies are of particular interest in clinical settings with respect to minimal invasiveness, repeated sampling, complete representation of the entire or multi-site tumor bulks. The potential of liquid biopsies in pancreatic cancer has been demonstrated by many studies which prove that liquid biopsies are able to detect early emergency of pancreatic cancer cells, residual disease, and recurrence. More interestingly, they show potential to delineate the heterogeneity, spatial and temporal, of pancreatic cancer. However, the performance of liquid biopsies for the diagnosis varies largely across different studies depending of the technique employed and also the type and stage of the tumor. One approach to improve the detect performance of liquid biopsies is to intensively inspect circulome and to define integrated biomarkers which simultaneously profile circulating tumor cells and DNA, extracellular vesicles, and circulating DNA, or cell free DNA and proteins. Moreover, the diagnostic validity and accuracy of liquid biopsies still need to be comprehensively demonstrated and validated.

scholarly journals Blood biomarkers for differential diagnosis and early detection of pancreatic cancer

2021 ◽  
pp. 102193
Author(s):  
Fawaz N. Al-Shaheri ◽  
Mohamed S.S. Alhamdani ◽  
Andrea Bauer ◽  
Nathalia Giese ◽  
Markus W. Büchler ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
Differential Diagnosis ◽  
Early Detection ◽  
Blood Biomarkers

scholarly journals Pancreatic Cancer Exposome Profile to Aid Early Detection and Inform Prevention Strategies

2021 ◽  
Vol 10 (8) ◽  
pp. 1665
Author(s):  
Maria J. Monroy-Iglesias ◽  
Saoirse Dolly ◽  
Debashis Sarker ◽  
Kiruthikah Thillai ◽  
Mieke Van Hemelrijck ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
Early Detection ◽  
Immune Responses ◽  
Inflammatory Markers ◽  
Poor Prognosis ◽  
Associated Factors ◽  
Review Of The Literature ◽  
Prevention Strategies ◽  
Factors Influencing ◽  
Detection Strategies

Pancreatic cancer (PCa) is associated with a poor prognosis and high mortality rate. The causes of PCa are not fully elucidated yet, although certain exposome factors have been identified. The exposome is defined as the sum of all environmental factors influencing the occurrence of a disease during a life span. The development of an exposome approach for PCa has the potential to discover new disease-associated factors to better understand the carcinogenesis of PCa and help with early detection strategies. Our systematic review of the literature identified several exposome factors that have been associated with PCa alone and in combination with other exposures. A potential inflammatory signature has been observed among the interaction of several exposures (i.e., smoking, alcohol consumption, diabetes mellitus, obesity, and inflammatory markers) that further increases the incidence and progression of PCa. A large number of exposures have been identified such as genetic, hormonal, microorganism infections and immune responses that warrant further investigation. Future early detection strategies should utilize this information to assess individuals’ risk for PCa.

scholarly journals A Circulating Exosome RNA Signature Is a Potential Diagnostic Marker for Pancreatic Cancer, a Systematic Study

Cancers ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 2565
Author(s):  
Yixing Wu ◽  
Hongmei Zeng ◽  
Qing Yu ◽  
Huatian Huang ◽  
Beatrice Fervers ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
Chronic Pancreatitis ◽  
Early Detection ◽  
Validation Dataset ◽  
Healthy Controls ◽  
Rna Seq ◽  
Healthy Individuals ◽  
Kras Mutations ◽  
Significant Difference ◽  
Rna Signature

Several exosome proteins, miRNAs and KRAS mutations have been investigated in the hope of carrying out the early detection of pancreatic cancer with high sensitivity and specificity, but they have proven to be insufficient. Exosome RNAs, however, have not been extensively evaluated in the diagnosis of pancreatic cancer. The purpose of this study was to investigate the potential of circulating exosome RNAs in pancreatic cancer detection. By retrieving RNA-seq data from publicly accessed databases, differential expression and random-effects meta-analyses were performed. The results showed that pancreatic cancer had a distinct circulating exosome RNA signature in healthy individuals, and that the top 10 candidate exosome RNAs could distinguish patients from healthy individuals with an area under the curve (AUC) of 1.0. Three (HIST2H2AA3, LUZP6 and HLA-DRA) of the 10 genes in exosomes had similar differential patterns to those in tumor tissues based on RNA-seq data. In the validation dataset, the levels of these three genes in exosomes displayed good performance in distinguishing cancer from both chronic pancreatitis (AUC = 0.815) and healthy controls (AUC = 0.8558), whereas a slight difference existed between chronic pancreatitis and healthy controls (AUC = 0.586). Of the three genes, the level of HIST2H2AA3 was positively associated with KRAS status. However, there was no significant difference in the levels of the three genes across the disease stages (stages I–IV). These findings indicate that circulating exosome RNAs have a potential early detection value in pancreatic cancer, and that a distinct exosome RNA signature exists in distinguishing pancreatic cancer from healthy individuals.

scholarly journals Rationale for Early Detection of EWSR1 Translocation-Associated Sarcoma Biomarkers in Liquid Biopsy

Cancers ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 824
Author(s):  
Felix I. L. Clanchy
Keyword(s):  
Early Detection ◽  
Liquid Biopsy ◽  
Residual Disease ◽  
Surgical Excision ◽  
Molecular Techniques ◽  
Rt Pcr ◽  
Liquid Biopsies ◽  
Societal Burden ◽  
Recent Developments ◽  
Mesenchymal Tumours

Sarcomas are mesenchymal tumours that often arise and develop as a result of chromosomal translocations, and for several forms of sarcoma the EWSR1 gene is a frequent translocation partner. Sarcomas are a rare form of malignancy, which arguably have a proportionally greater societal burden that their prevalence would suggest, as they are more common in young people, with survivors prone to lifelong disability. For most forms of sarcoma, histological diagnosis is confirmed by molecular techniques such as FISH or RT-PCR. Surveillance after surgical excision, or ablation by radiation or chemotherapy, has remained relatively unchanged for decades, but recent developments in molecular biology have accelerated the progress towards routine analysis of liquid biopsies of peripheral blood. The potential to detect evidence of residual disease or metastasis in the blood has been demonstrated by several groups but remains unrealized as a routine diagnostic for relapse during remission, for disease monitoring during treatment, and for the detection of occult, residual disease at the end of therapy. An update is provided on research relevant to the improvement of the early detection of relapse in sarcomas with EWSR1-associated translocations, in the contexts of biology, diagnosis, and liquid biopsy.

Abstract 478: Extracellular vesicle based multi-omics prediction model for the early detection of pancreatic cancer

2021 ◽  
Author(s):  
Yaoxiang Li ◽  
Keith Unger ◽  
Charles Hinzman ◽  
Meth Jayatilake ◽  
Anton Iliuk ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
Early Detection ◽  
Prediction Model ◽  
Extracellular Vesicle
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