scholarly journals Colon cancer subtypes: concordance, effect on survival and selection of the most representative preclinical models

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Zsófia Sztupinszki ◽  
Balázs Győrffy
2011 ◽  
Vol 121 (7) ◽  
pp. 2750-2767 ◽  
Author(s):  
Brian D. Lehmann ◽  
Joshua A. Bauer ◽  
Xi Chen ◽  
Melinda E. Sanders ◽  
A. Bapsi Chakravarthy ◽  
...  

Surgery ◽  
2021 ◽  
Author(s):  
Richard J. Straker ◽  
Danny H.J. Heo ◽  
Adrienne B. Shannon ◽  
Douglas L. Fraker ◽  
Skandan Shanmugan ◽  
...  

2014 ◽  
Vol 307 (3) ◽  
pp. G249-G259 ◽  
Author(s):  
James C. Fleet

Colorectal cancer is a heterogeneous disease that is one of the major causes of cancer death in the U.S. There is evidence that lifestyle factors like diet can modulate the course of this disease. Demonstrating the benefit and mechanism of action of dietary interventions against colon cancer will require studies in preclinical models. Many mouse models have been developed to study colon cancer but no single model can reflect all types of colon cancer in terms of molecular etiology. In addition, many models develop only low-grade cancers and are confounded by development of the disease outside of the colon. This review will discuss how mice can be used to model human colon cancer and it will describe a variety of new mouse models that develop colon-restricted cancer as well as more advanced phenotypes for studies of late-state disease.


2012 ◽  
Vol 27 (9) ◽  
pp. 1215-1222 ◽  
Author(s):  
Satoshi Ogiso ◽  
Takashi Yamaguchi ◽  
Meiki Fukuda ◽  
Takahide Murakami ◽  
Yoshihisa Okuchi ◽  
...  

2012 ◽  
Vol 319 (1) ◽  
pp. 49-55 ◽  
Author(s):  
Bianca Mostert ◽  
Jaco Kraan ◽  
Anieta M. Sieuwerts ◽  
Petra van der Spoel ◽  
Joan Bolt-de Vries ◽  
...  

Author(s):  
Carmen Moccia ◽  
Kristina Haase

Breast cancer is the second leading cause of death among women worldwide, and while hormone receptor positive subtypes have a clear and effective treatment strategy, other subtypes, such as triple negative breast cancers, do not. Development of new drugs, antibodies, or immune targets requires significant re-consideration of current preclinical models, which frequently fail to mimic the nuances of patient-specific breast cancer subtypes. Each subtype, together with the expression of different markers, genetic and epigenetic profiles, presents a unique tumor microenvironment, which promotes tumor development and progression. For this reason, personalized treatments targeting components of the tumor microenvironment have been proposed to mitigate breast cancer progression, particularly for aggressive triple negative subtypes. To-date, animal models remain the gold standard for examining new therapeutic targets; however, there is room for in vitro tools to bridge the biological gap with humans. Tumor-on-chip technologies allow for precise control and examination of the tumor microenvironment and may add to the toolbox of current preclinical models. These new models include key aspects of the tumor microenvironment (stroma, vasculature and immune cells) which have been employed to understand metastases, multi-organ interactions, and, importantly, to evaluate drug efficacy and toxicity in humanized physiologic systems. This review provides insight into advanced in vitro tumor models specific to breast cancer, and discusses their potential and limitations for use as future preclinical patient-specific tools.


2011 ◽  
Vol 204 (8) ◽  
pp. 475
Author(s):  
Ian M. Wilson ◽  
William W. Lockwood ◽  
Bradley P. Coe ◽  
Raj Chari ◽  
Larissa A. Pikor ◽  
...  

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. 3514-3514 ◽  
Author(s):  
S. Rim Kim ◽  
Nan Song ◽  
Greg Yothers ◽  
Patrick Gavin ◽  
Carmen Joseph Allegra ◽  
...  

3514 Background: The predictive value of tumor sidedness in colorectal cancer is currently of interest especially in metastatic setting for anti-EGFR therapy response. We tested whether intrinsic molecular subtype classification predictive of treatment benefit in stage II/III colon cancer is an independent novel marker in association with tumor sidedness. Methods: All available cases included in the NSABP/NRG C-07 trial for which we had both gene expression data and anatomical data (n=1603) were used to determine the molecular subtypes using the following classifiers; the Colorectal Cancer Assigner (CRCA), the Colon Cancer Subtypes (CCS) and the Consensus Molecular Subtypes (CMS). Frequency of tumor sidedness in each subtype and recurrence-free survival were analyzed. Results: Intrinsic subtypes were differentially distributed in right- and left-colon tumors with the exception of the stem-like or CMS4 (mesenchymal) subtype (Table 1). Sidedness was not associated with prognosis (p=0.82, HR: 1.022 [CI: 0.851-1.227]) or prediction of patients with greater benefit from oxaliplatin when combined with 5-Fu+LV (interaction p=0.484). Conclusions: Although tumor sidedness is associated with distribution of intrinsic subtypes in stage II/III colon cancer, it is not predictive of survival benefit from oxaliplatin in C-07. Support: -180868, -180822, U24-CA196067; HI13C2162; PA DOH; Sanofi-Synthelabo Clinical trial information: NCT00004931. [Table: see text]


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