Establishing an appropriate preclinical model is crucial for translational cancer research.
The most common way that has been adopted by far is grafting cancer cell lines, derived …

Pancreatic tumors are highly desmoplastic and immunosuppressive. Delivery and
distribution of drugs within pancreatic tumors are compromised due to intrinsic physical and …

Single-cell transcriptomic analysis is widely used to study human tumors. However, it
remains challenging to distinguish normal cell types in the tumor microenvironment from …

Cancer immunotherapy is a promising way to eliminate tumor cells by using the patient's
own immune system. Selecting the appropriate animal models to develop or validate …

Extensive desmoplasia is a prominent feature of the pancreatic ductal adenocarcinoma
(PDAC) microenvironment. Initially, studies demonstrated that desmoplasia promotes …

The desmoplastic reaction of pancreas cancer may begin as a wound healing response to
the nascent neoplasm, but it soon creates an insidious shelter that can sustain the growing …

Objective: To evaluate if patient-derived organoids (PDOs) may predict response to
neoadjuvant (NAT) chemotherapy in patients with pancreatic adenocarcinoma. Background …

Pancreatic adenocarcinoma is one of the deadliest malignancies worldwide, mainly due to
frequent diagnosis at an advanced stage and its strong chemoresistance. Tumor …

Background To develop a supervised machine learning (ML) algorithm predicting above-
versus below-median overall survival (OS) from diffusion-weighted imaging-derived …

Purpose Development of a supervised machine-learning model capable of predicting
clinically relevant molecular subtypes of pancreatic ductal adenocarcinoma (PDAC) from …