Results 101 to 110 of about 646,520 (340)

Surgical Treatment and Rehabilitation of Children with Pathology of the Pancreas

Zdorovʹe Rebenka, 2016
Relevance. Surgical treatment of pancreas patho­logy in children is quite difficult in pediatric surgery. The diversity of pathology in congenital anomalies in the glands structure, complications, ectopic tissue of pancreas have often been related to ...
Yu.V. Pashchenko, О.Yu. Belousova, V.A. Belopashentsev   +2 more
doaj   +1 more source

Metformin Decreases the Incidence of Pancreatic Ductal Adenocarcinoma Promoted by Diet-induced Obesity in the Conditional KrasG12D Mouse Model. [PDF]

, 2018
Pancreatic ductal adenocarcinoma (PDAC) is a particularly deadly disease. Chronic conditions, including obesity and type-2 diabetes are risk factors, thus making PDAC amenable to preventive strategies.
Chang, Hui-Hua, Chou, Caroline Ei Ne, Dawson, David W, Eibl, Guido, French, Samuel, Hao, Fang, Hines, O Joe, Moro, Aune, Rozengurt, Enrique, Schmidt, Andrea I, Sinnett-Smith, James   +10 more
core   +2 more sources

Characterizing the salivary RNA landscape to identify potential diagnostic, prognostic, and follow‐up biomarkers for breast cancer

Molecular Oncology, EarlyView.
This study explores salivary RNA for breast cancer (BC) diagnosis, prognosis, and follow‐up. High‐throughput RNA sequencing identified distinct salivary RNA signatures, including novel transcripts, that differentiate BC from healthy controls, characterize histological and molecular subtypes, and indicate lymph node involvement.
Nicholas Rajan, Irina Primac, Emre Etlioglu, Laurens Debruyne, Ann Janssen, Magy Sallam, Kevin Tabury, Roel Quintens, Wiebren Tjalma, Mohammed Abderrafi Benotmane   +9 more
wiley   +1 more source

Tumor copy number instability is a significant predictor for late recurrence after radical surgery of pancreatic ductal adenocarcinoma

Cancer Medicine, 2020
Objective Our study examined the association between molecular features and clinical results of pancreatic ductal adenocarcinoma (PDAC) patients, aiming to explore the genomic determinants of the recurrence and prognosis of PDAC after surgical removal ...
Chenlei Wen, XiaXing Deng, Dandan Ren, Xue Song, Hao Chen, Jiancheng Wang, Jiabin Jin, Dongfeng Cheng, Zhiwei Xu, Jun Zhang, Junjie Xie, Wenjing Qi, Jiangning Gu, Chenghong Peng, Dan Chen, Shi Chen, Baiyong Shen, Qian Zhan   +17 more
doaj   +1 more source

Molecular pathogenesis and targeted therapy of sporadic pancreatic neuroendocrine tumors [PDF]

, 2015
Over the past few years, knowledge regarding the molecular pathology of sporadic pancreatic neuroendocrine tumors (PNETs) has increased substantially, and a number of targeted agents have been tested in clinical trials in this tumor type.
Ahn, Balogh, Bergers, Berruti, Capurso, Capurso, Carew, Castellano, Chamberlain, Chan, Chan, Chen, Clynes, Corbo, Corbo, Couvelard, De Wilde, Di Florio, Di Florio, Di Florio, Fazio, Fendrich, Gaur, Gurung, Han, Heaphy, Heaphy, Hobday, Hopfner, House, Jacinto, Jensen, Jiao, Karnik, Karnik, Komori, Kulke, Laplante, Loewith, Lovejoy, Luzi, Marinoni, Marion-Audibert, Mendel, Meric-Bernstam, Missiaglia, Mocellin, Panzuto, Papouchado, Passacantilli, Perren, Pàez-Ribes, Raymond, Sarbassov, Scoazec, Shah, Shi, Tang, Vinagre, Wang, Yang, Yao, Yuan, Zhang, Zhang   +64 more
core   +1 more source

Bridging the gap: Multi‐stakeholder perspectives of molecular diagnostics in oncology

Molecular Oncology, EarlyView.
Although molecular diagnostics is transforming cancer care, implementing novel technologies remains challenging. This study identifies unmet needs and technology requirements through a two‐step stakeholder involvement. Liquid biopsies for monitoring applications and predictive biomarker testing emerge as key unmet needs. Technology requirements vary by
Jorine Arnouts, Senada Koljenović, Elise Daems, Karolien De Wael, Marc Peeters, Léon C. van Kempen, Greetje Vanhoutte, Karen Zwaenepoel, Timon Vandamme   +8 more
wiley   +1 more source

Expression-Based Genome-Wide Association Study Links Vitamin D-Binding Protein With Autoantigenicity in Type 1 Diabetes. [PDF]

, 2016
Type 1 diabetes (T1D) is caused by autoreactive T cells that recognize pancreatic islet antigens and destroy insulin-producing β-cells. This attack results from a breakdown in tolerance for self-antigens, which is controlled by ectopic antigen expression
Butte, Atul J, Fathman, C Garrison, Fuhlbrigge, Rebecca, Kodama, Keiichi, Miao, Dongmei, Toda, Kyoko, Yamada, Satoru, Yip, Linda, Yu, Liping, Zhao, Zhiyuan   +9 more
core   +1 more source

Tumor‐agnostic detection of circulating tumor DNA in patients with advanced pancreatic cancer using targeted DNA methylation sequencing and cell‐free DNA fragmentomics

Molecular Oncology, EarlyView.
We evaluated circulating tumor DNA (ctDNA) detection in advanced pancreatic cancer using DNA methylation, cell‐free DNA fragment lengths, and 5′ end motifs. Machine learning models were trained to estimate ctDNA levels from each feature and their combination.
Morten Lapin, Kjersti Tjensvoll, Karin Hestnes Edland, Satu Oltedal, Herish Garresori, Bjørnar Gilje, Saga Ekedal, Trygve Eftestøl, Jan Terje Kvaløy, Filip Janku, Oddmund Nordgård   +10 more
wiley   +1 more source

Urinary CE-MS peptide marker pattern for detection of solid tumors [PDF]

, 2018
Urinary profiling datasets, previously acquired by capillary electrophoresis coupled to mass-spectrometry were investigated to identify a general urinary marker pattern for detection of solid tumors by targeting common systemic events associated with ...
Belczacka, Iwona, Frantzi, Maria, Jankowski, Vera, Latosinska, Agnieszka, Merseburger, Axel S., Metzger, Jochen, Mischak, Harald, Siwy, Justyna, Vlahou, Antonia   +8 more
core   +2 more sources

The ACCEPTance of automation: refining circulating tumor cells enumeration for improved metastatic colorectal cancer prognosis

Molecular Oncology, EarlyView.
This study highlights the potential of automated enumeration using the ACCEPT software to refine circulating tumor cell (CTC) detection in metastatic colorectal cancer (mCRC). The automated method demonstrates improved accuracy and reduced variability compared to the manual approach.
Michela De Meo, Marco Siringo, Alessandro Vici, Ann Zeuner, Orietta Gandini, Paola Gazzaniga, Chiara Nicolazzo   +6 more
wiley   +1 more source