Faculty Opinions recommendation of Characterization of the immunophenotypes and antigenomes of colorectal cancers reveals distinct tumor escape mechanisms and novel targets for immunotherapy.

Author(s):  
Chao Cheng
2015 ◽  
Vol 16 (1) ◽  
Author(s):  
Mihaela Angelova ◽  
Pornpimol Charoentong ◽  
Hubert Hackl ◽  
Maria L Fischer ◽  
Rene Snajder ◽  
...  

1999 ◽  
Vol 22 (5) ◽  
pp. 466
Author(s):  
Viktor Roschke ◽  
Steve Barash ◽  
Vladimir Subbotin ◽  
Dan Soppet ◽  
Gil Choi ◽  
...  

2017 ◽  
Vol 1 (6) ◽  
pp. 633-639 ◽  
Author(s):  
Pengfei Cai ◽  
Donald P. McManus ◽  
Hong You

Over the last decade, there has been accumulating evidence showing that signalling pathways are involved in extensive biological and physiological processes in the human blood fluke schistosomes, playing essential roles in environmental sensing, host penetration, growth, development, maturation, embryogenesis, tissue self-renewal and survival. Owing to the likelihood of resistance developing against praziquantel, the only drug currently available that is effective against all the human schistosome species, there is an urgent requirement for an alternative treatment, arguing for continuing research into novel or repurposed anti-schistosomal drugs. An increasing number of anticancer drugs are being developed which block abnormal signalling pathways, a feature that has stimulated interest in developing novel interventions against human schistosomiasis by targeting key cell signalling components. In this review, we discuss the functional characterization of signal transduction pathways in schistosomes and consider current challenges and future perspectives in this important area of research.


2021 ◽  
Vol 9 (12) ◽  
pp. e003414
Author(s):  
Jung Ho Kim ◽  
Mi-Kyoung Seo ◽  
Ji Ae Lee ◽  
Seung-Yeon Yoo ◽  
Hyeon Jeong Oh ◽  
...  

BackgroundColorectal cancers (CRCs) with microsatellite instability-high (MSI-H) are hypermutated tumors and are generally regarded as immunogenic. However, their heterogeneous immune responses and underlying molecular characteristics remain largely unexplained.MethodsWe conducted a retrospective analysis of 73 primary MSI-H CRC tissues to characterize heterogeneous immune subgroups. Based on combined tumor-infiltrating lymphocyte (TIL) immunoscore and tertiary lymphoid structure (TLS) activity, MSI-H CRCs were classified into immune-high, immune-intermediate, and immune-low subgroups. Of these, the immune-high and immune-low subgroups were further analyzed using whole-exome and transcriptome sequencing.ResultsWe found considerable variations in immune parameters between MSI-H CRCs, and immune subgrouping of MSI-H CRCs was performed accordingly. The TIL densities and TLS activities of immune-low MSI-H CRCs were comparable to those of an immune-low or immune-intermediate subgroup of microsatellite-stable CRCs. There were remarkable differences between immune-high and immune-low MSI-H CRCs, including their pathological features (medullary vs mucinous), genomic alterations (tyrosine kinase fusions vs KRAS mutations), and activated signaling pathways (immune-related vs Wnt and Notch signaling), whereas no significant differences were found in tumor mutational burden (TMB) and neoantigen load. The immune-low MSI-H CRCs were subdivided by the consensus molecular subtype (CMS1 vs CMS3) with different gene expression signatures (mesenchymal/stem-like vs epithelial/goblet-like), suggesting distinct immune evasion mechanisms. Angiogenesis and CD200 were identified as potential therapeutic targets in immune-low CMS1 and CMS3 MSI-H CRCs, respectively.ConclusionsMSI-H CRCs are immunologically heterogeneous, regardless of TMB. The unusual immune-low MSI-H CRCs are characterized by mucinous histology, KRAS mutations, and Wnt/Notch activation, and can be further divided into distinct gene expression subtypes, including CMS4-like CMS1 and CMS3. Our data provide novel insights into precise immunotherapeutic strategies for subtypes of MSI-H tumors.


2019 ◽  
Vol 2019 ◽  
pp. 1-9
Author(s):  
Xin Ku ◽  
Yan Xu ◽  
Chunlin Cai ◽  
Yili Yang ◽  
Long Cui ◽  
...  

Liver metastasis is the most common form of metastatic colorectal cancers during the course of the disease. The global change in protein abundance in liver metastatic colorectal cancers and its role in metastasis establishment have not been comprehensively analyzed. In the present study, fresh-frozen tissue samples including normal colon/localized/liver metastatic CRCs from each recruited patient were analyzed by quantitative proteomics using a multiplexed TMT labeling strategy. Around 5000 protein groups were quantified from all samples. The proteomic profile of localized/metastatic CRCs varied greatly from that of normal colon tissues; differential proteins were mainly from extracellular regions and participate in immune activities, which is crucial for the chronic inflammation signaling pathways in the tumor microenvironment. Further statistical analysis revealed 47 proteins exhibiting statistical significance between localized and metastatic CRCs, of which FILI1P1 and PLG were identified for the first time in proteomic data, which were highly associated with liver metastasis in CRCs.


2013 ◽  
Vol 2013 ◽  
pp. 1-16 ◽  
Author(s):  
Nandita Barnabas ◽  
Dalia Cohen

We reviewed the phenotypic and molecular characteristics of MCF10DCIS.com and the SUM cell lines based on numerous studies performed over the years. The major signaling pathways that give rise to the phenotype of these cells may serve as a good resource of information when researchers in drug discovery and development use these cells to identify novel targets and biomarkers. Major signaling pathways and mutations affecting the coding sequence are also described providing important information when using these cells as a model in a variety of studies.


2019 ◽  
Vol 69 (1) ◽  
pp. 23-32 ◽  
Author(s):  
Tomohiro Kikuchi ◽  
Kosaku Mimura ◽  
Mai Ashizawa ◽  
Hirokazu Okayama ◽  
Eisei Endo ◽  
...  

2013 ◽  
Vol 12 (1) ◽  
pp. 92 ◽  
Author(s):  
Xin Yan ◽  
Hongwei Liang ◽  
Ting Deng ◽  
Kegan Zhu ◽  
Suyang Zhang ◽  
...  

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