scholarly journals An Exploratory Study on the Stable Radiomics Features of Metastatic Small Pulmonary Nodules in Colorectal Cancer Patients

2021 ◽  
Vol 11 ◽  
Author(s):  
Caiyin Liu ◽  
Qiuhua Meng ◽  
Qingsi Zeng ◽  
Huai Chen ◽  
Yilian Shen ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Growth Process ◽  
Cross Validation ◽  
Rank Correlation ◽  
Pulmonary Nodules ◽  
Maximum Diameter ◽  
Training Cohort ◽  
Benign Nodules ◽  
Colorectal Cancer Patients ◽  
Small Pulmonary Nodules

ObjectivesTo identify the relatively invariable radiomics features as essential characteristics during the growth process of metastatic pulmonary nodules with a diameter of 1 cm or smaller from colorectal cancer (CRC).MethodsThree hundred and twenty lung nodules were enrolled in this study (200 CRC metastatic nodules in the training cohort, 60 benign nodules in the verification cohort 1, 60 CRC metastatic nodules in the verification cohort 2). All the nodules were divided into four groups according to the maximum diameter: 0 to 0.25 cm, 0.26 to 0.50 cm, 0.51 to 0.75 cm, 0.76 to 1.0 cm. These pulmonary nodules were manually outlined in computed tomography (CT) images with ITK-SNAP software, and 1724 radiomics features were extracted. Kruskal-Wallis test was performed to compare the four different levels of nodules. Cross-validation was used to verify the results. The Spearman rank correlation coefficient is calculated to evaluate the correlation between features.ResultsIn training cohort, 90 features remained stable during the growth process of metastasis nodules. In verification cohort 1, 293 features remained stable during the growth process of benign nodules. In verification cohort 2, 118 features remained stable during the growth process of metastasis nodules. It is concluded that 20 features remained stable in metastatic nodules (training cohort and verification cohort 2) but not stable in benign nodules (verification cohort 1). Through the cross-validation (n=100), 11 features remained stable more than 90 times.ConclusionsThis study suggests that a small number of radiomics features from CRC metastatic pulmonary nodules remain relatively stable from small to large, and they do not remain stable in benign nodules. These stable features may reflect the essential characteristics of metastatic nodules and become a valuable point for identifying metastatic pulmonary nodules from benign nodules.

Immune-related gene signature in predicting prognosis of early-stage colorectal cancer patients.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. 3586-3586
Author(s):  
Jia Ke ◽  
Xuanhui Liu ◽  
Xiaofeng Jiang ◽  
Yufeng Chen ◽  
Zerong Cai ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Cancer Patients ◽  
Early Stage ◽  
Disease Free Survival ◽  
Gene Signature ◽  
Free Survival ◽  
Training Cohort ◽  
Immune Related Genes ◽  
Colorectal Cancer Patients ◽  
Disease Free

3586 Background: Immune-related genes (IRGs) were found to be associated with the prognosis of colorectal cancer (CRC) patients. The aim of this study was to evaluate the impact of IRGs in predicting prognosis of early-stage CRC patients. Methods: According to the CIT microarray data set, 309 early-stage CRC patients were selected for generation of immune-related gene signature (IRGS). 5 independent data sets included 1587 CRC patients with complete prognostic information were divided into a training cohort (566 patients) and two validation cohorts (624 patients in validation-1 and 397 patients in meta-validation). Prognostic analysis were performed to test the predictive value of IRGS. Results: Of 309 early-stage CRC patients, a prognostic immune signature included 23 immune-related genes was constructed. In the training cohort, when considering patients with early tumor stage (I or II), IRGS significantly stratified patients into immune low- vs high-risk groups in terms of disease-free survival (HR = 5.03, 95%CI = 2.94-8.62, P < 0.001). Similarly, higher IRGS was correlated with significantly worse prognosis of early-stage CRC patients in validation-1 (HR = 2.71, 95%CI = 1.44-5.08, P = 0.001) and meta-validation cohort (HR = 3.10, 95%CI = 1.60-6.00, P < 0.001). When compared with Oncotype DX, we found IRGS achieved an improved survival correlation in the training cohort (mean C-index, 0.85 vs 0.65) and the validation-1 cohort (mean C-index, 0.72 vs 0.61). After integrated with clinical characteristics, IRGS remained as an independent prognostic factor after adjusting for T stage and TNM stage of tumor in multivariate analysis (HR = 2.02, 95%CI = 1.61-2.53, P < 0.001). Furthermore, IRGS stratified immune low-risk group patients with adjuvant chemotherapy showed even worse disease-free survival when compared with those without adjuvant chemotherapy (HR = 5.66, 95%CI = 3.153-10.16, P < 0.001 in the training cohort and HR = 3.21, 95%CI = 1.74-5.92, P < 0.001 in the validation-1 cohort). IRGS identified immune high-risk group obtained a significantly higher immune and stromal infiltration (P < 0.001). Particularly, the percentages of Macrophages M2 and CD8+ T cells infiltration were significantly different between these two groups. Conclusions: The proposed prognostic IRGS is a promising system for estimating DFS of colorectal cancer patients, especially those in early-stage. Further studies are needed to evaluate the clinical utility of this system in predicting prognosis of colorectal cancer patients.

scholarly journals Predicting Microsatellite Instability Status in Colorectal Cancer Based on Triphasic Enhanced Computed Tomography Radiomics Signatures: A Multicenter Study

2021 ◽  
Vol 11 ◽  
Author(s):  
Yuntai Cao ◽  
Guojin Zhang ◽  
Jing Zhang ◽  
Yingjie Yang ◽  
Jialiang Ren ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Computed Tomography ◽  
Validation Cohort ◽  
Excellent Performance ◽  
Training Cohort ◽  
Enhanced Ct ◽  
Venous Phase ◽  
Phase Models ◽  
Colorectal Cancer Patients ◽  
Radiomics Signature

BackgroundThis study aimed to develop and validate a computed tomography (CT)-based radiomics model to predict microsatellite instability (MSI) status in colorectal cancer patients and to identify the radiomics signature with the most robust and high performance from one of the three phases of triphasic enhanced CT.MethodsIn total, 502 colorectal cancer patients with preoperative contrast-enhanced CT images and available MSI status (441 in the training cohort and 61 in the external validation cohort) were enrolled from two centers in our retrospective study. Radiomics features of the entire primary tumor were extracted from arterial-, delayed-, and venous-phase CT images. The least absolute shrinkage and selection operator method was used to retain the features closely associated with MSI status. Radiomics, clinical, and combined Clinical Radiomics models were built to predict MSI status. Model performance was evaluated by receiver operating characteristic curve analysis.ResultsThirty-two radiomics features showed significant correlation with MSI status. Delayed-phase models showed superior predictive performance compared to arterial- or venous-phase models. Additionally, age, location, and carcinoembryonic antigen were considered useful predictors of MSI status. The Clinical Radiomics nomogram that incorporated both clinical risk factors and radiomics parameters showed excellent performance, with an AUC, accuracy, and sensitivity of 0.898, 0.837, and 0.821 in the training cohort and 0.964, 0.918, and 1.000 in the validation cohort, respectively.ConclusionsThe proposed CT-based radiomics signature has excellent performance in predicting MSI status and could potentially guide individualized therapy.

scholarly journals Computer tomography guided thoracoscopic resection of small pulmonary nodules in the hybrid theatre

PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0258896
Author(s):  
Ioannis Karampinis ◽  
Nils Rathmann ◽  
Michael Kostrzewa ◽  
Steffen J. Diehl ◽  
Stefan O. Schoenberg ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Screening ◽  
Computer Tomography ◽  
Pulmonary Nodules ◽  
Lung Cancer Screening ◽  
Histological Diagnosis ◽  
Maximum Diameter ◽  
Clinical Indication ◽  
Thoracoscopic Resection ◽  
Small Pulmonary Nodules

Purpose Thoracic surgeons are currently asked to resect smaller and deeper lesions which are difficult to detect thoracoscopically. The growing number of those lesions arises both from lung cancer screening programs and from follow-up of extrathoracic malignancies. This study analyzed the routine use of a CT-aided thoracoscopic approach to small pulmonary nodules in the hybrid theatre and the resulting changes in the treatment pathway. Methods 50 patients were retrospectively included. The clinical indication for histological diagnosis was suspected metastasis in 46 patients. Technically, the radiological distance between the periphery of the lesion and the visceral pleura had to exceed the maximum diameter of the lesion for the patient to be included. A spiral wire was placed using intraoperative CT-based laser navigation to guide the thoracoscopic resection. Results The mean diameter of the lesions was 8.4 mm (SD 4.27 mm). 29.4 minutes (SD 28.5) were required on average for the wire placement and 42.3 minutes (SD 20.1) for the resection of the lesion. Histopathology confirmed the expected diagnosis in 30 of 52 lesions. In the remaining 22 lesions, 9 cases of primary lung cancer were detected while 12 patients showed a benign disease. Conclusion Computer tomography assisted thoracoscopic surgery (CATS) enabled successful resection in all cases with minimal morbidity. The histological diagnosis led to a treatment change in 42% of the patients. The hybrid-CATS technique provides good access to deeply located small pulmonary nodules and could be particularly valuable in the emerging setting of lung cancer screening.

Prognostic impact of tumor deposits in colorectal cancer with lymph nodes metastasis.

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. e15051-e15051
Author(s):  
Fangqi Liu ◽  
Jiang Zhao ◽  
Li Yang ◽  
Ji Zhu ◽  
Ye Xu
Keyword(s):  
Colorectal Cancer ◽  
Overall Survival ◽  
Cancer Patients ◽  
Classification System ◽  
Tnm Classification ◽  
Prognostic Impact ◽  
Training Cohort ◽  
Tnm System ◽  
Lymph Nodes Metastasis ◽  
Colorectal Cancer Patients

e15051 Background:The TNM classification system was widely used in managing many kinds of cancer including colorectal cancer. However, there is one undefined aspect that is the value of tumor deposits (TDs) in the condition of TDs and lymph nodes metastasis (LNM) coexisting. This research aims to clarify the prognostic impact of TDs in colorectal cancer especially for the condition of TDs combined with LNM. Methods: An analysis was performed to evaluate the prognostic significance of TDs in stage Ⅰ to Ⅳ colorectal cancer patients from 2010 to 2013 using Surveillance Epidemiology and End Results (SEER) database as a training cohort (N = 65, 537). An additional 3, 719 patients from Fudan University Shanghai Cancer Center were enrolled between 2006 and 2014 as a test cohort to validate the results. Results: TDs were observed in 6.32% of patients in training cohort and 14.7% in test cohort. A significantly reduced overall survival was observed for TDs positive in LNM positive and negative colorectal cancer patients (hazard ratio [HR], 1.65; 95% CI, 1.54 to 1.76). Further analysis combining TDs with LNM shows that there is no considerable difference in the impact on overall survival between N1 and N1c or between N1 with TDs (N1TD) and N2. The 3-year survival rate was 82.3%, 72.0%, 69.9%, 55.7%, 52.1%, 39.4% for N0, N1, N1c, N1TD, N2 and N2 with TDs (N2TD) respectively. Similar results were observed in the test cohort. Conclusions: These results support the 7th and 8th TNM system in which N1c was integrated into pathological N classification. However, LNM with positive TDs should be also considered into the TNM classification system because of the high prognostic impact of TDs, which was not mentioned in the current TNM system.

Pathway analysis of hypoxia-related factors in early colorectal cancer patients with poor prognosis.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. 3613-3613
Author(s):  
Yingxin Tan ◽  
Yuming Rong ◽  
Zhaoliang Yu ◽  
Feng Gao ◽  
Yufeng Chen ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Cancer Patients ◽  
Validation Cohort ◽  
Early Stage ◽  
Microarray Dataset ◽  
Gene Signature ◽  
Stage I ◽  
Training Cohort ◽  
Cell Cycle Pathway ◽  
Colorectal Cancer Patients

3613 Background: Colorectal cancer is one of the most common malignancies with a high mortality rate. Patients with stage I and stage II colorectal cancer have limited options for treatment. Hypoxia affects the activation and regulation of colorectal cancer cells and participates in its invasion and migration. However, there is lack of an accurate and non-invasive method for assessing tumor hypoxia. The aim of this study was developing and validating a hypoxia gene signature for predicting the outcome in stage I/II colorectal cancer patients. At the same time , we hypothesized that analysis of database of CIT microarray dataset could identify important biomarkers for stage I/II colorectal cancer patients. Methods: A total of 309 colorectal cancer patients of early stage with complete clinical information were enrolled for construction generation of hypoxia-related gene signature (HRGS) based on the CIT microarray dataset. 1877 colorectal cancer patients with complete prognostic information in 5 independent datasets were divided into a training cohort and two validation cohort (TCGA and meta-validation). Prognostic analysis was assessed in these cohort to evaluate the predictive value of HRGS. Results: A model of prognostic HRGS containing 14 hypoxia-related genes was developed. In training cohort and two validation cohorts, patients in hypoxia high-risk group satisfied by our HRGS had significant poor disease free survival compared with those in the in the low risk group (HR=4.35, 95% CI=2.30-8.23, P<0.001 in training cohort, HR=2.14, 95% CI=1.09-4.21, P=0.024 in TCGA cohort, HR=1.91, 95% CI=1.08-3.39, P=0.024 in meta-validation cohort). When compared with Oncotype DX, HRGS achieved an improved survival correlation in the training cohort (mean C-index, 0.80 vs 0.65, P<0.05) and the validation cohort (mean C-index, 0.70 vs 0.61 in the TCGA cohort, mean C-index, 0.68 vs 0.73 in the meta-validation cohort). Analysis of the data found that patients with low survival rates have significant relationships with genes regulated by the cell cycle pathway, such as mTROC1, E2F, G2-M, mitotic, oxidative phosphorylation, MYC, PI3K-AKT-mTOR (P<0.005). Conclusions: HRGS was a satisfactory prognostic prediction model for early stage colorectal patients. Hypoxia-related genes that regulate the cell cycle pathway were associated with prognosis in patients with stage I and stage II colorectal cancer. Further researches are needed to assess the clinical effectiveness of the system and the treatment options for biological targets.

scholarly journals Polymorphisms within Immune Regulatory Pathways Predict Cetuximab Efficacy and Survival in Metastatic Colorectal Cancer Patients

Cancers ◽  
2020 ◽  
Vol 12 (10) ◽  
pp. 2947
Author(s):  
Nico B. Volz ◽  
Diana L. Hanna ◽  
Sebastian Stintzing ◽  
Wu Zhang ◽  
Dongyun Yang ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Metastatic Colorectal Cancer ◽  
Validation Cohort ◽  
Direct Sequencing ◽  
Nucleotide Polymorphisms ◽  
Training Cohort ◽  
Regulatory Pathways ◽  
Dependent Cell ◽  
Colorectal Cancer Patients ◽  
In Fire

Cetuximab, an IgG1 EGFR-directed antibody, promotes antibody-dependent cell-mediated cytotoxicity. We hypothesized that single-nucleotide polymorphisms (SNPs) in immune regulatory pathways may predict outcomes in patients with metastatic colorectal cancer treated with cetuximab-based regimens. A total of 924 patients were included: 105 received cetuximab in IMCL-0144 and cetuximab/irinotecan in GONO-ASL608LIOM01 (training cohort), 225 FOLFIRI/cetuximab in FIRE-3 (validation cohort 1), 74 oxaliplatin/cetuximab regimens in JACCRO CC-05/06 (validation cohort 2), and 520 FOLFIRI/bevacizumab in FIRE-3 and TRIBE (control cohorts). Twelve SNPs in five genes (IDO1; PD-L1; PD-1; CTLA-4; CD24) were evaluated by PCR-based direct sequencing. We analyzed associations between genotype and clinical outcomes. In the training cohort; patients with the CD24 rs52812045 A/A genotype had a significantly shorter median PFS and OS than those with the G/G genotype (PFS 1.3 vs. 3.6 months; OS 2.3 vs. 7.8 months) in univariate (PFS HR 3.62; p = 0.001; OS HR 3.27; p = 0.0004) and multivariate (PFS HR 3.18; p = 0.009; OS HR 4.93; p = 0.001) analyses. Similarly; any A allele carriers in the JACCRO validation cohort had a significantly shorter PFS than G/G carriers (9.2 vs. 11.8 months; univariate HR 1.90; p = 0.011; multivariate HR 2.12; p = 0.018). These associations were not demonstrated in the control cohorts. CD24 genetic variants may help select patients with metastatic colorectal cancer most likely to benefit from cetuximab-based therapy.

Dealing with indeterminate pulmonary nodules in colorectal cancer patients; a systematic review

2021 ◽  
Author(s):  
Joris J. van den Broek ◽  
Tess van Gestel ◽  
Sabrine Q. Kol ◽  
Anne M. van Geel ◽  
Remy W.F. Geenen ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Systematic Review ◽  
Cancer Patients ◽  
Pulmonary Nodules ◽  
Colorectal Cancer Patients

scholarly journals Discrimination of healthy and colorectal cancer patients using FTIR and PLS-DA

2019 ◽  
Vol 9 (2) ◽  
pp. 115-130 ◽  
Author(s):  
Larissa Brixner Riça ◽  
Ornella Sari Cassol ◽  
Alexandre Rieger ◽  
Valeriano Antonio Corbellini
Keyword(s):  
Colorectal Cancer ◽  
Cross Validation ◽  
Coefficient Of Determination ◽  
Healthy Individuals ◽  
Orthogonal Signal ◽  
Orthogonal Signal Correction ◽  
Signal Correction ◽  
Different Types ◽  
Chemometric Algorithms ◽  
Colorectal Cancer Patients

Spectroscopic methods have already been used as effective tools in several studies involving the detection of cancer. Fourier transform infrared spectroscopy (FTIR) has already been applied in the discrimination of cancer cells and tissues or blood of patients with the disease, observing that this technique requires the use of chemometric algorithms to obtain such results. The aim of this study was to employ a partial least squares discriminant analysis (PLS-DA) with FTIR data in the discrimination of plasma samples from patients with colorectal cancer (RCC) and healthy individuals. Multivariate analysis was performed using PLS-DA of the sample triplicates (n=90) with different types of processing. The best PLS-DA condition was obtained using the 1st derivative, 1 orthogonal signal correction (OSC) and no pre-processing. With 1 factor only, the model presented a mean square error of cross-validation (RMSECV) of 0.0004 and coefficient of determination (r^2) of 1.0000. The accuracy, precision and sensitivity of the model were 100%.

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