Abstract 2545: A novel tool for the accurate and affordable early diagnosis of pancreatic cancer via machine learning and bioinformatics

Author(s):  
Siya Goel ◽  
Jean Honorio
2021 ◽  
Vol 2 (2) ◽  
pp. 82-93
Author(s):  
Luca Digiacomo ◽  
Francesca Giulimondi ◽  
Daniela Pozzi ◽  
Alessandro Coppola ◽  
Vincenzo La Vaccara ◽  
...  

Due to late diagnosis, high incidence of metastasis, and poor survival rate, pancreatic cancer is one of the most leading cause of cancer-related death. Although manifold recent efforts have been done to achieve an early diagnosis of pancreatic cancer, CA-19.9 is currently the unique biomarker that is adopted for the detection, despite its limits in terms of sensitivity and specificity. To identify potential protein biomarkers for pancreatic ductal adenocarcinoma (PDAC), we used three model liposomes as nanoplatforms that accumulate proteins from human plasma and studied the composition of this biomolecular layer, which is known as protein corona. Indeed, plasma proteins adsorb on nanoparticle surface according to their abundance and affinity to the employed nanomaterial, thus even small differences between healthy and PDAC protein expression levels can be, in principle, detected. By mass spectrometry experiments, we quantified such differences and identified possible biomarkers for PDAC. Some of them are already known to exhibit different expressions in PDAC proteomes, whereas the role of other relevant proteins is still not clear. Therefore, we predict that the employment of nanomaterials and their protein corona may represent a useful tool to amplify the detection sensitivity of cancer biomarkers, which may be used for the early diagnosis of PDAC, with clinical implication for the subsequent therapy in the context of personalized medicine.


2021 ◽  
pp. 115152
Author(s):  
Mahbubunnabi Tamal ◽  
Maha Alshammari ◽  
Meernah Alabdullah ◽  
Rana Hourani ◽  
Hossain Abu Alola ◽  
...  

Cancers ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 1986
Author(s):  
Victoria Heredia-Soto ◽  
Nuria Rodríguez-Salas ◽  
Jaime Feliu

Pancreatic ductal adenocarcinoma (PDAC) exhibits the poorest prognosis of all solid tumors, with a 5-year survival of less than 10%. To improve the prognosis, it is necessary to advance in the development of tools that help us in the early diagnosis, treatment selection, disease monitoring, evaluation of the response and prognosis. Liquid biopsy (LB), in its different modalities, represents a particularly interesting tool for these purposes, since it is a minimally invasive and risk-free procedure that can detect both the presence of genetic material from the tumor and circulating tumor cells (CTCs) in the blood and therefore distantly reflect the global status of the disease. In this work we review the current status of the main LB modalities (ctDNA, exosomes, CTCs and cfRNAs) for detecting and monitoring PDAC.


Pancreatology ◽  
2021 ◽  
Vol 21 ◽  
pp. S90
Author(s):  
B. Janssen ◽  
R. Theijse ◽  
S. van Roessel ◽  
R. de Ruiter ◽  
A. Berkel ◽  
...  

Author(s):  
Dana K. Andersen ◽  
Suresh T. Chari ◽  
Eithne Costello ◽  
Tatjana Crnogorac‐Jurcevic ◽  
Phil A. Hart ◽  
...  

2013 ◽  
Vol 144 (5) ◽  
pp. S-657
Author(s):  
Takashi Kobayashi ◽  
Shin Nishiumi ◽  
Atsuki Ikeda ◽  
Tomoo Yoshie ◽  
Aya Sakai ◽  
...  

2020 ◽  
Vol 35 (5) ◽  
Author(s):  
Dehua Zhou ◽  
Di Mu ◽  
Ming Cheng ◽  
Yuting Dou ◽  
Xianwei Zhang ◽  
...  

2017 ◽  
Vol 6 (S8) ◽  
pp. S1339-S1351 ◽  
Author(s):  
Zarin Nuzhat ◽  
Carlos Palma ◽  
Gregory E. Rice ◽  
Virendra Joshi ◽  
Carlos Salomon

2019 ◽  
Author(s):  
Gongpan Liu ◽  
Cunhua Shao ◽  
Anyun Li ◽  
Xiaobin Zhang ◽  
Xingjun Guo ◽  
...  

Abstract Background This study aimed to investigate the effect of combination of plasma miR-181b, miR-196a and miR-210 on early diagnosis of pancreatic cancer (PC).Methods In our study, the plasma was isolated from patients with PC and healthy individuals, respectively. The expressions of miR-181b, miR-196a and miR-210 were detected by qRT-PCR. Moreover, the level of carbohydrate antigen 199 (CA199) was measured by electrochemiluminescence (ECL) assay. Furthermore, the area under the receiver operating characteristic (ROC) curve (AUC) was used to analyze the diagnostic efficacy of miR-181b, miR-196a, miR-210 and CA199, as well as the combination of thses miRNAs in early PC patients and healthy individuals.Results The expressions of miR-181b, miR-196a and miR-210 were significantly upregulated in PC patients. In addition, the level of CA199 was also significantly upregulated in the plasma of PC patients. The expressions of miR-181b, miR-196a and miR-210 were closely associated with lymph nodes metastasis, clinical stage and vascular invasion, but had no correlation with the patient's age, gender and tumor size. Moreover, miR-181b, miR-196a and miR-210 have lower AUC than CA199 in PC patients. The combinations miR-181b + miR-196a, miR-181b + miR-210, miR-196a + miR-210 also have lower AUC than CA199 in PC patients. It is worth noting that the combinations miR-181b + miR-196a + miR-210 have higher AUC than CA199 in PC.Conclusions Our study demonstrated that the combination of plasma miR-181b, miR-196a and miR-210 had good value for PC early diagnosis.


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