scholarly journals INFORM: INFrared-based ORganizational Measurements of tumor and its microenvironment to predict patient survival

2021 ◽  
Vol 7 (6) ◽  
pp. eabb8292
Author(s):  
Saumya Tiwari ◽  
Andre Kajdacsy-Balla ◽  
Joshua Whiteley ◽  
Georgina Cheng ◽  
Stephen M. Hewitt ◽  
...  
Keyword(s):  
Colon Cancer ◽  
Cancer Progression ◽  
Spatial Organization ◽  
Infrared Imaging ◽  
Patient Survival ◽  
High Definition ◽  
Risk Of Death ◽  
Measurement Framework ◽  
Spatially Varying ◽  
Physical And Chemical

The structure and organization of a tumor and its microenvironment are often associated with cancer outcomes due to spatially varying molecular composition and signaling. A persistent challenge is to use this physical and chemical spatial organization to understand cancer progression. Here, we present a high-definition infrared imaging–based organizational measurement framework (INFORM) that leverages intrinsic chemical contrast of tissue to label unique components of the tumor and its microenvironment. Using objective and automated computational methods, further, we determine organization characteristics important for prediction. We show that the tumor spatial organization assessed with this framework is predictive of overall survival in colon cancer that adds to capability from clinical variables such as stage and grade, approximately doubling the risk of death in high-risk individuals. Our results open an all-digital avenue for measuring and studying the association between tumor spatial organization and disease progression.

scholarly journals Cannabinoids receptor type 2, CB2, expression correlates with human colon cancer progression and predicts patient survival

Oncoscience ◽  
2015 ◽  
Vol 2 (2) ◽  
pp. 131-141 ◽  
Author(s):  
Esther Martínez-Martínez ◽  
Irene Gómez ◽  
Paloma Martín ◽  
Antonio Sánchez ◽  
Laura Román ◽  
...  
Keyword(s):  
Colon Cancer ◽  
Cancer Progression ◽  
Patient Survival ◽  
Human Colon ◽  
Receptor Type ◽  
Human Colon Cancer ◽  
Colon Cancer Progression

Role of MicroRNAs in Colon Cancer Progression and Metastasis

2020 ◽  
Vol 20 ◽  
Author(s):  
Shruthi Sanjitha Sampath ◽  
Sivaramakrishnan Venkatabalsubramanian ◽  
Satish Ramalingam
Keyword(s):  
Colon Cancer ◽  
Cancer Progression ◽  
Target Genes ◽  
Tumour Progression ◽  
Intestinal Barrier ◽  
Colon Cancer Progression ◽  
Bowel Diseases ◽  
Inflammatory Bowel ◽  
Novel Therapeutic Strategies

: MicroRNAs regulate gene expression at the posttranscriptional level by binding to the mRNA of their target genes. The dysfunction of miRNAs is strongly associated with the inflammation of the colon. Besides, some microRNAs are shown to suppress tumours while others promote tumour progression and metastasis. Inflammatory bowel diseases include Crohn’s disease and Ulcerative colitis which increase the risk factor for inflammation-associated colon cancer. MicroRNAs are shown to be involved in gastrointestinal pathologies, by targeting the transcripts encoding proteins of the intestinal barrier and their regulators that are associated with inflammation and colon cancer. Detection of these microRNAs in the blood, serum, tissues, faecal matter, etc will enable us to use these microRNAs as biomarkers for early detection of the associated malignancies and design novel therapeutic strategies to overcome the same. Information on MicroRNAs can be applied for the development of targeted therapies against inflammation-mediated colon cancer.

Computational Analysis of miRNA and their Gene Targets Significantly Involved in Colorectal Cancer Progression

MicroRNA ◽  
2018 ◽  
Vol 8 (1) ◽  
pp. 68-75 ◽  
Author(s):  
Jeyalakshmi Kandhavelu ◽  
Kumar Subramanian ◽  
Amber Khan ◽  
Aadilah Omar ◽  
Paul Ruff ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Colon Cancer ◽  
Cancer Progression ◽  
Target Prediction ◽  
Computational Prediction ◽  
Initial Step ◽  
Kegg Pathways ◽  
Candidate Mirnas ◽  
Common Cancer ◽  
Colon Cancer Progression

Background:Globally, colorectal cancer (CRC) is the third most common cancer in women and the fourth most common cancer in men. Dysregulation of small non-coding miRNAs have been correlated with colon cancer progression. Since there are increasing reports of candidate miRNAs as potential biomarkers for CRC, this makes it important to explore common miRNA biomarkers for colon cancer. As computational prediction of miRNA targets is a critical initial step in identifying miRNA: mRNA target interactions for validation, we aim here to construct a potential miRNA network and its gene targets for colon cancer from previously reported candidate miRNAs, inclusive of 10 up- and 9 down-regulated miRNAs from tissues; and 10 circulatory miRNAs. </P><P> Methods: The gene targets were predicted using DIANA-microT-CDS and TarBaseV7.0 databases. Each miRNA and its targets were analyzed further for colon cancer hotspot genes, whereupon DAVID analysis and mirPath were used for KEGG pathway analysis.Results:We have predicted 874 and 157 gene targets for tissue and serum specific miRNA candidates, respectively. The enrichment of miRNA revealed that particularly hsa-miR-424-5p, hsa-miR-96-5p, hsa-miR-1290, hsa-miR-224, hsa-miR-133a and has-miR-363-3p present possible targets for colon cancer hallmark genes, including BRAF, KRAS, EGFR, APC, amongst others. DAVID analysis of miRNA and associated gene targets revealed the KEGG pathways most related to cancer and colon cancer. Similar results were observed in mirPath analysis. A new insight gained in the colon cancer network pathway was the association of hsa-mir-133a and hsa-mir-96-5p with the PI3K-AKT signaling pathway. In the present study, target prediction shows that while hsa-mir-424-5p has an association with mostly 10 colon cancer hallmark genes, only their associations with MAP2 and CCND1 have been experimentally validated.These miRNAs and their targets require further evaluation for a better understanding of their associations, ultimately with the potential to develop novel therapeutic targets.

scholarly journals Proteins are potent biomarkers to detect colon cancer progression

2017 ◽  
Vol 24 (6) ◽  
pp. 1212-1221 ◽  
Author(s):  
Palaniselvam Kuppusamy ◽  
Natanamurugaraj Govindan ◽  
Mashitah M. Yusoff ◽  
Solachuddin J.A. Ichwan
Keyword(s):  
Colon Cancer ◽  
Cancer Progression ◽  
Colon Cancer Progression

The upregulation of PYCR2 is associated with aggressive colon cancer progression and a poor prognosis

2021 ◽  
Vol 572 ◽  
pp. 20-26
Author(s):  
Sitong Wang ◽  
Linaer Gu ◽  
Lili Huang ◽  
Juemin Fang ◽  
Zhuqing Liu ◽  
...  
Keyword(s):  
Colon Cancer ◽  
Cancer Progression ◽  
Poor Prognosis ◽  
Colon Cancer Progression

scholarly journals Cyst(e)ine in nutrition formulation promotes colon cancer growth and chemoresistance by activating mTORC1 and scavenging ROS

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Jiao Wu ◽  
Sai-Ching Jim Yeung ◽  
Sicheng Liu ◽  
Aiham Qdaisat ◽  
Dewei Jiang ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Colon Cancer ◽  
Weight Loss ◽  
Cancer Patients ◽  
Cancer Cell ◽  
Cancer Progression ◽  
Colorectal Cancer Patient ◽  
Nutrition Support ◽  
Immunodeficient Mice ◽  
The Impact

AbstractWeight loss and cachexia are common problems in colorectal cancer patients; thus, parenteral and enteral nutrition support play important roles in cancer care. However, the impact of nonessential amino acid components of nutritional intake on cancer progression has not been fully studied. In this study, we discovered that gastrointestinal cancer patients who received cysteine as part of the parenteral nutrition had shorter overall survival (P < 0.001) than those who did not. Cystine indeed robustly promotes colon cancer cell growth in vitro and in immunodeficient mice, predominately by inhibiting SESN2 transcription via the GCN2-ATF4 axis, resulting in mTORC1 activation. mTORC1 inhibitors Rapamycin and Everolimus block cystine-induced cancer cell proliferation. In addition, cystine confers resistance to oxaliplatin and irinotecan chemotherapy by quenching chemotherapy-induced reactive oxygen species via synthesizing glutathione. We demonstrated that dietary deprivation of cystine suppressed colon cancer xenograft growth without weight loss in mice and boosted the antitumor effect of oxaliplatin. These findings indicate that cyst(e)ine, as part of supplemental nutrition, plays an important role in colorectal cancer and manipulation of cyst(e)ine content in nutritional formulations may optimize colorectal cancer patient survival.

Does Calcium in Drinking Water Modify the Association Between Trihalomethanes and the Risk of Death from Colon Cancer?

2010 ◽  
Vol 73 (10) ◽  
pp. 657-668 ◽  
Author(s):  
Hsin-Wei Kuo ◽  
Mao-Meng Tiao ◽  
Shang-Shyue Tsai ◽  
Trong-Neng Wu ◽  
Chun-Yuh Yang
Keyword(s):  
Colon Cancer ◽  
Drinking Water ◽  
Risk Of Death

scholarly journals Elevated MUC5AC expression is associated with mismatch repair deficiency and proximal tumor location but not with cancer progression in colon cancer

2020 ◽  
Author(s):  
Sebastian Dwertmann Rico ◽  
Doris Höflmayer ◽  
Franziska Büscheck ◽  
David Dum ◽  
Andreas M. Luebke ◽  
...  
Keyword(s):  
Colon Cancer ◽  
Mismatch Repair ◽  
Cancer Progression ◽  
Strong Association ◽  
Tumor Location ◽  
Colorectal Cancers ◽  
Mismatch Repair Deficiency ◽  
Repair Deficiency ◽  
Cancer Aggressiveness ◽  
Rectal Cancers

AbstractMucin 5AC (MUC5AC) is a secreted gel-forming mucin expressed by several epithelia. In the colon, MUC5AC is expressed in scattered normal epithelial cells but can be abundant in colorectal cancers. To clarify the relationship of MUC5AC expression with parameters of tumor aggressiveness and mismatch repair deficiency (dMMR) in colorectal cancer, a tissue microarray containing 1812 colorectal cancers was analyzed by immunohistochemistry. MUC5AC expression was found in 261 (15.7%) of 1,667 analyzable colorectal cancers. MUC5AC expression strongly depended on the tumor location and gradually decreased from proximal (27.4% of cecum cancers) to distal (10.6% of rectal cancers; p < 0.0001). MUC5AC expression was also strongly linked to dMMR. dMMR was found in 21.3% of 169 cancers with MUC5AC positivity but in only 4.6% of 1051 cancers without detectable MUC5AC expression (p < 0.0001). A multivariate analysis showed that dMMR status and tumor localization predicted MUC5AC expression independently (p < 0.0001 each). MUC5AC expression was unrelated to pT and pN status. This also applied to the subgroups of 1136 proficient MMR (pMMR) and of 84 dMMR cancers. The results of our study show a strong association of MUC5AC expression with proximal and dMMR colorectal cancers. However, MUC5AC expression is unrelated to colon cancer aggressiveness.

scholarly journals Development of prognosis model for colon cancer based on autophagy-related genes

2020 ◽  
Vol 18 (1) ◽  
Author(s):  
Xu Wang ◽  
Yuanmin Xu ◽  
Ting Li ◽  
Bo Chen ◽  
Wenqi Yang
Keyword(s):  
Colon Cancer ◽  
Regression Analysis ◽  
High Risk ◽  
Cancer Patients ◽  
Risk Score ◽  
Cox Regression ◽  
Patient Survival ◽  
Expression Profiles ◽  
Cox Regression Analysis ◽  
Risk Patients

Abstract Background Autophagy is an orderly catabolic process for degrading and removing unnecessary or dysfunctional cellular components such as proteins and organelles. Although autophagy is known to play an important role in various types of cancer, the effects of autophagy-related genes (ARGs) on colon cancer have not been well studied. Methods Expression profiles from ARGs in 457 colon cancer patients were retrieved from the TCGA database (https://portal.gdc.cancer.gov). Differentially expressed ARGs and ARGs related to overall patient survival were identified. Cox proportional-hazard models were used to investigate the association between ARG expression profiles and patient prognosis. Results Twenty ARGs were significantly associated with the overall survival of colon cancer patients. Five of these ARGs had a mutation rate ≥ 3%. Patients were divided into high-risk and low-risk groups based on Cox regression analysis of 8 ARGs. Low-risk patients had a significantly longer survival time than high-risk patients (p < 0.001). Univariate and multivariate Cox regression analysis showed that the resulting risk score, which was associated with infiltration depth and metastasis, could be an independent predictor of patient survival. A nomogram was established to predict 1-, 3-, and 5-year survival of colon cancer patients based on 5 independent prognosis factors, including the risk score. The prognostic nomogram with online webserver was more effective and convenient to provide information for researchers and clinicians. Conclusion The 8 ARGs can be used to predict the prognosis of patients and provide information for their individualized treatment.

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