scholarly journals Nomogram for Predicting Occurrence of Synchronous Liver Metastasis in Colorectal Cancer: A Single-center Retrospective Study Based on Pathological Factors

2021 ◽  
Author(s):  
Yunxiao Liu ◽  
Yuliuming Wang ◽  
Hao Zhang ◽  
Mingyu Zheng ◽  
Chunlin Wang ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Liver Metastasis ◽  
Calibration Curve ◽  
Roc Curves ◽  
Logistic Regression Models ◽  
Actual Observation ◽  
N Stage ◽  
Medical University ◽  
Development And Validation ◽  
Observation Results

Abstract PurposeThe purpose of this study was to explore the risk factors for liver metastasis (LM) of colorectal cancer (CRC) and to construct a nomogram for predicting the occurrence of synchronous LM based on baseline and pathological information.MethodsThe baseline and pathological information of 3190 CRC patients from the Department of Colorectal Surgery, the Second Affiliated Hospital of Harbin Medical University between 2012 and 2020 were included. All patients were divided into development and validation cohorts with the 1:1 ratio. Univariate and multivariate logistic regression models were utilized to identify the potential predictors of LM in CRC patients. Using the R tool to create a predictive nomogram. In addition, receiver operating characteristic (ROC) curves was calculated to describe the discriminability of the nomogram. A calibration curve was plotted to compare the predicted and observed results of the nomogram. Decision-making curve analysis (DCA) was used to evaluate the clinical effect of nomogram.ResultsThe nomogram consisted of six features including tumor site, vascular invasion (VI), T stage, N stage, preoperative CEA and CA-199 level. ROC curves for the LM nomogram indicated good discrimination in the development cohort (AUC = 0.885, 95% CI 0.854-0.916) and the validation cohort (AUC = 0.857, 95% CI 0.821-0.893). The calibration curve showed that the prediction results of the nomogram was in good agreement with the actual observation results. Moreover, the DCA curves determined the clinical application value of predictive nomogram.ConclusionsThe pathologic-based nomogram could help clinicians to predict the occurrence of synchronous LM in postoperative CRC patients and provide a reference to perform appropriate metastatic screening plans and rational therapeutic options for the special population.

Application of Artificial Intelligence in a Real-World Research for Predicting the Risk of Liver Metastasis in T1 Colorectal Cancer

2021 ◽  
Author(s):  
Tenghui Han ◽  
Jun Zhu ◽  
Dong Xu ◽  
Rujie Chen ◽  
Shuai Wang ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Colorectal Cancer ◽  
Liver Metastasis ◽  
Predictive Model ◽  
Tumor Size ◽  
Area Under The Curve ◽  
Subsequent Treatment ◽  
Tumor Type ◽  
Discriminative Ability ◽  
N Stage

Abstract Background: The liver is the most common metastatic site of colorectal cancer (CRC) and liver metastasis (LM) determines subsequent treatment as well as prognosis of patients, especially in T1 patients. T1 CRC patients with LM are recommended to adopt surgery and systematic treatments rather than endoscopic therapy alone. However, there is still no effective model to predict the risk of LM in T1 CRC patients and we aim to develop a novel and accurate predictive model.Methods: We integrated two independent CRC cohorts from Surveillance Epidemiology and End Results database (SEER) and Xijing hospital. Artificial intelligence (AI) and machine learning methods were adopted to establish the predictive model.Results: A total of 16785 and 326 T1 CRC patients from SEER database and our hospital were incorporated respectively in the study. We found that age, gender, married status, primary site, tumor size, carcinoembryonic antigen (CEA), tumor type, grade, N stage and perineural invasion were significant independent factors for predicting the presence of LM, among which tumor size is the most important. The stacking bagging model showed the best predictive capability, achieving a sensitivity of 0.8452, a specificity of 0.9566, and an area under the curve of 0.9631. In addition, the stacking model had an excellent discriminative ability and accurately screened out eight LM cases from 326 T1 patients in the outer validation cohort. Ultimately, we authenticated the prognostic value of the stacking model, which is consistent with the predictive result of LM.Conclusion: We successfully established an innovative and convenient AI model for predicting LM in T1 CRC patients, which was further verified in our dataset.

scholarly journals A Novel Saliva-Based miRNA Signature for Colorectal Cancer Diagnosis

2019 ◽  
Vol 8 (12) ◽  
pp. 2029 ◽  
Author(s):  
Rapado-González ◽  
Majem ◽  
Álvarez-Castro ◽  
Díaz-Peña ◽  
Abalo ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Roc Curves ◽  
Diagnostic Value ◽  
Healthy Controls ◽  
Mirna Signature ◽  
Clinical Value ◽  
Logistic Regression Models ◽  
Non Invasive ◽  
Promising Tool ◽  
Novel Approach

Salivary microRNAs (miRNAs) are of high interest as diagnostic biomarkers for non-oral cancer. However, little is known about their value for colorectal cancer (CRC) detection. Our study aims to characterize salivary miRNAs in order to identify non-invasive markers for CRC diagnosis. The screening of 754 miRNAs was performed in saliva samples from 14 CRC and 10 healthy controls. The differential expressed miRNAs were validated by RT-qPCR in 51 CRC, 19 adenomas and 37 healthy controls. Receiver operating characteristic (ROC) curves and logistic regression models were performed to analyze the clinical value of these miRNAs. Twenty-two salivary miRNAs were significantly deregulated in CRC patients vs. healthy individuals (P < 0.05) in the discovery phase. From those, five upregulated miRNAs (miR-186-5p, miR-29a-3p, miR-29c-3p, miR-766-3p, and miR-491-5p) were confirmed to be significantly higher in the CRC vs. healthy group (P < 0.05). This five-miRNA signature showed diagnostic value (72% sensitivity, 66.67% specificity, AUC = 0.754) to detect CRC, which was even higher in combination with carcinoembryonic antigen (CEA) levels. Overall, after the first global characterization of salivary miRNAs in CRC, a five-miRNA panel was identified as a promising tool to diagnose this malignancy, representing a novel approach to detect cancer-associated epigenetic alterations using a non-invasive strategy.

Stem cell gene Girdin: a potential early liver metastasis predictor of colorectal cancer

2012 ◽  
Vol 39 (9) ◽  
pp. 8717-8722 ◽  
Author(s):  
Chen Liu ◽  
Hongpeng Xue ◽  
Yixia Lu ◽  
Baorong Chi
Keyword(s):  
Colorectal Cancer ◽  
Stem Cell ◽  
Liver Metastasis ◽  
Cell Gene ◽  
Stem Cell Gene

Decreased mean platelet volume is associated with microsatellite instability in colorectal cancer: A propensity score-matched analysis

2021 ◽  
pp. 1-9
Author(s):  
Wen Wang ◽  
Guangyu Wang ◽  
Shuang Fu ◽  
Beibei Zhang ◽  
Zengyao Liu ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Propensity Score ◽  
Microsatellite Instability ◽  
Propensity Score Matching ◽  
Mean Platelet Volume ◽  
Innate Immune ◽  
Platelet Volume ◽  
Activated Platelets ◽  
Medical University ◽  
Potential Parameters

BACKGROUND: Patients with microsatellite instability-high (MSI-H) colorectal cancer (CRC) generally have a better prognosis and a more effective immune response than patients with microsatellite stable (MSS) CRC. Moreover, activated platelets play a crucial role in modulating innate immune cells. Mean platelet volume (MPV) is an indicator of platelet activation. This study is to examine the association between MPV and MSI status in CRC. METHODS: We collected the clinical and pathological variables of 424 CRC patients diagnosed at the Harbin Medical University Cancer Hospital from January 2018 to December 2018. Associations between MPV levels and MSI status were examined. Propensity score matching (PSM) was performed to reduce the possibility of selection bias. RESULTS: 424 CRC patients were divided into low-MPV group and high-MPV group according to the optimal cut-off value of MPV. 131 high-MPV patients were matched to low-MPV counterparts in a 1:1 ratio by propensity score matching. As MPV levels increased, the percentage of patients with MSI-H reduced. Furthermore, compared with MSS group, the MSI-H group had a significantly lower MPV levels (p= 0.003 after matching). In addition, logistic regression analysis identified reduced MPV as an independent risk factor for MSI-H in CRC patients after controlling for other potential parameters. CONCLUSION: Lower MPV is associated with MSI-H subtype of CRC. Further study on MPV in MSI-H CRC is warranted.

scholarly journals Liver Immune Microenvironment and Metastasis from Colorectal Cancer-Pathogenesis and Therapeutic Perspectives

Cancers ◽  
2021 ◽  
Vol 13 (10) ◽  
pp. 2418
Author(s):  
Xuezhen Zeng ◽  
Simon E. Ward ◽  
Jingying Zhou ◽  
Alfred S. L. Cheng
Keyword(s):  
Colorectal Cancer ◽  
Liver Metastasis ◽  
Cancer Patients ◽  
High Recurrence Rate ◽  
Immune Microenvironment ◽  
Liver Sinusoidal Endothelial Cells ◽  
Premetastatic Niche ◽  
Cancer Pathogenesis ◽  
Colorectal Cancer Patients ◽  
The Impact

A drastic difference exists between the 5-year survival rates of colorectal cancer patients with localized cancer and distal organ metastasis. The liver is the most favorable organ for cancer metastases from the colorectum. Beyond the liver-colon anatomic relationship, emerging evidence highlights the impact of liver immune microenvironment on colorectal liver metastasis. Prior to cancer cell dissemination, hepatocytes secrete multiple factors to recruit or activate immune cells and stromal cells in the liver to form a favorable premetastatic niche. The liver-resident cells including Kupffer cells, hepatic stellate cells, and liver-sinusoidal endothelial cells are co-opted by the recruited cells, such as myeloid-derived suppressor cells and tumor-associated macrophages, to establish an immunosuppressive liver microenvironment suitable for tumor cell colonization and outgrowth. Current treatments including radical surgery, systemic therapy, and localized therapy have only achieved good clinical outcomes in a minority of colorectal cancer patients with liver metastasis, which is further hampered by high recurrence rate. Better understanding of the mechanisms governing the metastasis-prone liver immune microenvironment should open new immuno-oncology avenues for liver metastasis intervention.

scholarly journals LncRNA MIR17HG promotes colorectal cancer liver metastasis by mediating a glycolysis-associated positive feedback circuit

Oncogene ◽  
2021 ◽  
Author(s):  
Senlin Zhao ◽  
Bingjie Guan ◽  
Yushuai Mi ◽  
Debing Shi ◽  
Ping Wei ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Liver Metastasis ◽  
Positive Feedback ◽  
Feedback Loop ◽  
Metastatic Tumor ◽  
Feedback Circuit ◽  
Colorectal Cancer Liver Metastasis ◽  
Positive Feedback Circuit

AbstractGlycolysis plays a crucial role in reprogramming the metastatic tumor microenvironment. A series of lncRNAs have been identified to function as oncogenic molecules by regulating glycolysis. However, the roles of glycolysis-related lncRNAs in regulating colorectal cancer liver metastasis (CRLM) remain poorly understood. In the present study, the expression of the glycolysis-related lncRNA MIR17HG gradually increased from adjacent normal to CRC to the paired liver metastatic tissues, and high MIR17HG expression predicted poor survival, especially in patients with liver metastasis. Functionally, MIR17HG promoted glycolysis in CRC cells and enhanced their invasion and liver metastasis in vitro and in vivo. Mechanistically, MIR17HG functioned as a ceRNA to regulate HK1 expression by sponging miR-138-5p, resulting in glycolysis in CRC cells and leading to their invasion and liver metastasis. More interestingly, lactate accumulated via glycolysis activated the p38/Elk-1 signaling pathway to promote the transcriptional expression of MIR17HG in CRC cells, forming a positive feedback loop, which eventually resulted in persistent glycolysis and the invasion and liver metastasis of CRC cells. In conclusion, the present study indicates that the lactate-responsive lncRNA MIR17HG, acting as a ceRNA, promotes CRLM through a glycolysis-mediated positive feedback circuit and might be a novel biomarker and therapeutic target for CRLM.

Patients’ Awareness Of The Prevention And Treatment Of Colorectal Cancer*

2015 ◽  
Vol 87 (9) ◽  
Author(s):  
Łukasz Dziki ◽  
Anna Puła ◽  
Konrad Stawiski ◽  
Barbara Mudza ◽  
Marcin Włodarczyk ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Risk Factors ◽  
Treatment Process ◽  
Significant Negative Correlation ◽  
Study Group ◽  
Case Record ◽  
High Incidence ◽  
Prevention And Treatment ◽  
Major Factors ◽  
Medical University

Abstractwas to assess patients’ awareness of the prevention and treatment of colorectal cancer.Patients diagnosed with colorectal cancer, hospitalised at the Department of General and Colorectal Surgery of the Medical University in Łódź during the period from January 2015 to April 2015, were asked to complete a questionnaire concerning their families’ medical case record, factors predisposing them to the development of colorectal cancer, the tests applied in diagnostics, and the treatment process. The questionnaire comprised 42 closed-ended questions with one correct answer. A statistical analysis of all answers was carried out.The study group consisted of 30 men and 20 women aged 27–94 years old. A strong, statistically significant negative correlation between a patient’s age and his/her awareness of the prevention and treatment of colorectal cancer was noted (p<0.001; r= −0.51). The study demonstrated a statistically significant relationship between the occurrence of neoplasms in a patient’s family (p=0.009) or, more specifically, the occurrence of colorectal cancer (p=0.008), and the awareness of the prevention programme. The women’s group was characterised by statistically significantly greater awareness of colonoscopy as a screening examination (p=0.004).Patients need more information on colorectal cancer, its risk factors, prevention, the treatment process, and postoperative care. Lack of awareness of the colorectal cancer issue can be one of the major factors contributing to the high incidence of this disease.

Sign in / Sign up

Export Citation Format

Share Document