Special Issue Microbes in Cancer Research in 'Seminar in Cancer Biology' 2021

2022 ◽  
Author(s):  
Vipin Chandra Kalia ◽  
Jung-Kul Lee ◽  
Kanchugarakoppal S. Rangappa ◽  
Vijai Kumar Gupta
Keyword(s):  
Cancer Research ◽  
Cancer Biology ◽  
Special Issue

scholarly journals Organoid Models for Cancer Research

2019 ◽  
Vol 3 (1) ◽  
pp. 223-234 ◽  
Author(s):  
Hans Clevers ◽  
David A. Tuveson
Keyword(s):  
Cancer Research ◽  
Tumor Microenvironment ◽  
Personalized Medicine ◽  
High Throughput ◽  
Stromal Cells ◽  
Transcriptome Sequencing ◽  
Cancer Biology ◽  
Three Dimensional ◽  
Model Systems ◽  
Liver Cancers

Organoid cultures have emerged as powerful model systems accelerating discoveries in cellular and cancer biology. These three-dimensional cultures are amenable to diverse techniques, including high-throughput genome and transcriptome sequencing, as well as genetic and biochemical perturbation, making these models well suited to answer a variety of questions. Recently, organoids have been generated from diverse human cancers, including breast, colon, pancreas, prostate, bladder, and liver cancers, and studies involving these models are expanding our knowledge of the etiology and characteristics of these malignancies. Co-cultures of cancer organoids with non-neoplastic stromal cells enable investigation of the tumor microenvironment. In addition, recent studies have established that organoids have a place in personalized medicine approaches. Here, we describe the application of organoid technology to cancer discovery and treatment.

scholarly journals Making sense of replications

eLife ◽  
2017 ◽  
Vol 6 ◽  
Author(s):  
Brian A Nosek ◽  
Timothy M Errington
Keyword(s):  
Cancer Research ◽  
Cancer Biology ◽  
Clinical Cancer Research ◽  
Clinical Cancer ◽  
Making Sense ◽  
First Results

The first results from the Reproducibility Project: Cancer Biology suggest that there is scope for improving reproducibility in pre-clinical cancer research.

On Cancer Nanotechnology

2010 ◽  
Vol 441 ◽  
pp. 307-332
Author(s):  
Rita Bosetti ◽  
Lode Vereeck
Keyword(s):  
Quality Of Life ◽  
Cancer Research ◽  
Side Effects ◽  
Cancer Biology ◽  
Causes Of Death ◽  
Poor Quality ◽  
Therapeutic Agents ◽  
Target Cells ◽  
Patients Experience

Although governments invest billions of dollars in cancer research, cancer remains one of the major causes of death worldwide (Liu et al., 2007). During the last decades, outstanding results have been attained in fundamental cancer biology but, unfortunately, they have not been translated in even distantly comparable progressions in the clinic. The main reason for this gap being the inability to administer therapeutic agents so that they can reach target cells without or with minimal side-effects (Ferrari, 2005). Today, scientists are faced with the recognition that very few molecules reach the desired locations and thus fail to selectively reach the target cells. Consequently, patients experience a very poor quality of life (Ferrari, 2004; Ferrari, 2005; Chan, 2006).

scholarly journals Radioiodine: 80 years and counting; the past, present, and future

2021 ◽  
Author(s):  
Matthew D Ringel
Keyword(s):  
Thyroid Cancer ◽  
Cancer Therapy ◽  
Cancer Biology ◽  
Therapeutic Use ◽  
Future Research ◽  
Special Issue ◽  
80Th Anniversary ◽  
The Past

In this issue of Endocrine-Related Cancer we celebrate the 80th anniversary of the first reported therapeutic use of radioiodine with a special issue dedicated to the history, current uses, and future research for this cornerstone of thyroid cancer therapy. Edited by Professor Christopher McCabe, one of our outstanding Associate Editors and an expert in thyroid cancer biology, a panel of expert authors provide six comprehensive and up-to-date reviews covering important topics for endocrine oncology researchers and clinicians.

scholarly journals Comprehensive transcriptomic analysis of cell lines as models of primary tumor samples across 22 tumor types

2018 ◽  
Author(s):  
K. Yu ◽  
B. Chen ◽  
D. Aran ◽  
J. Charalel ◽  
A. Butte ◽  
...  
Keyword(s):  
Cancer Research ◽  
Cell Line ◽  
Cell Lines ◽  
Cancer Cell ◽  
Primary Tumor ◽  
Cancer Biology ◽  
Cancer Cell Lines ◽  
Primary Tumors ◽  
Tumor Types

AbstractCancer cell lines are commonly used as models for cancer biology. While they are limited in their ability to capture complex interactions between tumors and their surrounding environment, they are a cornerstone of cancer research and many important findings have been discovered utilizing cell line models. Not all cell lines are appropriate models of primary tumors, however, which may contribute to the difficulty in translating in vitro findings to patients. Previous studies have leveraged public datasets to evaluate cell lines as models of primary tumors, but they have been limited in scope to specific tumor types and typically ignore the presence of tumor infiltrating cells in the primary tumor samples. We present here a comprehensive pan-cancer analysis utilizing approximately 9,000 transcriptomic profiles from The Cancer Genome Atlas and the Cancer Cell Line Encyclopedia to evaluate cell lines as models of primary tumors across 22 different tumor types. After adjusting for tumor purity in the primary tumor samples, we performed correlation analysis and differential gene expression analysis between the primary tumor samples and cell lines. We found that cell-cycle pathways are consistently upregulated in cell lines, while no pathways are consistently upregulated across the primary tumor samples. In a case study, we compared colorectal cancer cell lines with primary tumor samples across the colorectal subtypes and identified three colorectal cell lines that were derived from fibroblasts rather than tumor epithelial cells. Lastly, we propose a new set of cell lines panel, the TCGA-110, which contains the most representative cell lines from 22 different tumor types as a more comprehensive and informative alternative to the NCI-60 panel. Our analysis of the other tumor types are available in our web app (http://comphealth.ucsf.edu/TCGA110) as a resource to the cancer research community, and we hope it will allow researchers to select more appropriate cell line models and increase the translatability of in vitro findings.

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