DR-377 Characterising the mutational landscape and recurrent somatic driver events to uncover therapeutic susceptibilities in pancreatic cancer
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DR-377 Characterising the mutational landscape and recurrent somatic driver events to uncover therapeutic susceptibilities in pancreatic cancer
Pancreatic Adenocarcinoma (PAAD) has the highest rate of morbidly for all solid tumours, and with pancreatectomy possible in <20% patients, …
DR-384 The influence of the germline deletion polymorphism of chromosome 8 (ADAM3A/ADAM5 locus) on the expression of genes and pathways involved in carcinogenesis
Our data from 218 patients with esophageal adenocarcinoma (EAC) , treated with neo-adjuvant chemoradiotherapy (CROSS schema), show a worse prognosis …
DR-388 The prevalence and burden of rare deleterious germline variants in cancer predisposition genes
The goal of this project is to identify germline variants that result in higher chances to develop cancer, since these …
DR-353 Landscape of mutational signatures in appendiceal cancer
Appendiceal cancer is still a poorly understood entity. There are many subtypes and treatment decisions are often made based on …
DR-367 Examining the effects of microbial colonization of cancer and its role in metastasis
In many cancers, microbiota have emerged as an influential component of the tumor environment. However, the extent to which microbiota …
DR-390 Exploring the impact of tumor microenvironment, biological ageing and immune health on cancer initiation, development, and treatment response
Cancer is a complex disease, characterized by a wide spectrum of genome abnormalities. However, emerging data indicates that genomic drivers may …
DR-391 Identifying cancer causing regulators using high throughput transcriptomics and whole-genomics data
Here, we propose to identify the link between noncoding regulatory mutations and the aberrantly activated regulatory proteins in cancer cells …
DR-378 Optimizing Treatment of Cancers through Integration of Therapeutic-Response-Centric Clinical-Bio Big Data and Multimodal Artificial Intelligence
Summary = We are working on creating a computer program that can analyze different types of cancer using information from genes, …
DR-312 Comparison of the somatic mutational landscape of metastatic breast cancer studies
Metastases are the leading cause of mortality in breast cancer patients. The tumor acquires specific mutations that drive the tumor’s …
DR-272 Uncovering the role of gut bacteria in colorectal cancer tumorigenesis and metastasis
Colorectal cancer (CRC) is the third most common cancer in men and second most common in women worldwide. The intestinal …
DR-381 CHEMOTRANSPORT: exploring influx mediated susceptibility to chemotherapy
To become effective within a tumor cell, chemotherapy needs to be transported into that cell via influx transporters. The activity …
DR-379 Identification of the CDX1/2-GUCY2C-cGMP axis as a driver of primary resistance to anti-EGFR therapies in metastatic colorectal cancer
The approval of anti-EGFR treatments for metastatic colorectal cancer significantly improved patient survival. However, drug resistance remains a significant challenge. …
Zolang de behandelaar niet weet waar de primaire tumor zit, heeft hij ook geen gerichte behandelmogelijkheid en kan ook geen inschatting worden gegeven hoe lang iemand nog heeft.