scholarly journals Expression Patterns of Microenvironmental Factors and Tenascin-C at the Invasive Front of Stage II And III Colorectal Cancer: Novel Tumor Prognostic Markers

2021 ◽  
Author(s):  
Mai Hashimoto ◽  
Noriyuki Uesugi ◽  
Mitsumasa Osaka ◽  
Naoki Yanagawa ◽  
Koki Otsuka ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Cancer Cells ◽  
Prognostic Markers ◽  
Multivariate Analyses ◽  
Expression Patterns ◽  
Stage Ii ◽  
High Expression ◽  
Disease Stage ◽  
Neoplastic Progression ◽  
Tenascin C

Abstract Background. Biological markers expressed in cancer cells and the surrounding cancer-associated fibroblasts (CAF) can be used for prediction of patient prognosis in colorectal cancer (CRC). Here, we used immunohistochemical techniques to evaluate cancer cells’ expression of specific biomarkers that are closely associated with neoplastic progression. Patients and Methods. Immunohistochemical markers included Ki-67, p53, β-catenin, MMP7, E-cadherin and HIF1-α. We also characterized microenvironmental markers expressed by CAF, including expression of α-smooth muscle actin, CD10, podoplanin, fibroblast specific protein 1, platelet derived growth factor β, fibroblast association protein, tenascin-C (TNC), ZEB1 and TWIST1. The study population consisted of 286 CRC patients with stage II and III disease. Stage II and III CRC were divided into a first and a second cohort (for validation). The CRCs were stratified using cluster analysis. To identify the utility of prognostic markers in stage II and III CRC, univariate and multivariate analyses were performed in both cohorts. Results. Stage II and III CRCs were stratified into 3 subgroups. Specific subgroups were significantly correlated to disease-free survival using univariate and multivariate analyses in the first cohort. High expression of TNC was identified as a single prognostic marker in both cohorts by univariate and multivariate analyses. Conclusions. We suggest that the presence of a specific subgroup defined by multiple markers can be used for prediction of CRC outcome in stages II and III. In addition, we showed that high expression of TNC was correlated with a poorer prognosis in stages II and III of CRC.

scholarly journals Expression Patterns of Microenvironmental Factors and Tenascin-C at the Invasive Front of Stage II and III Colorectal Cancer: Novel Tumor Prognostic Markers

2021 ◽  
Vol 11 ◽  
Author(s):  
Mai Hashimoto ◽  
Noriyuki Uesugi ◽  
Mitsumasa Osakabe ◽  
Naoki Yanagawa ◽  
Koki Otsuka ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Cancer Cells ◽  
Prognostic Markers ◽  
Multivariate Analyses ◽  
Expression Patterns ◽  
Stage Ii ◽  
High Expression ◽  
Disease Stage ◽  
Neoplastic Progression ◽  
Tenascin C

BackgroundBiological markers expressed in cancer cells and the surrounding cancer-associated fibroblasts (CAF) can be used for prediction of patient prognosis in colorectal cancer (CRC). Here, we used immunohistochemical techniques to evaluate cancer cells’ expression of specific biomarkers that are closely associated with neoplastic progression.MethodsImmunohistochemical markers included Ki-67, p53, β-catenin, MMP7, E-cadherin and HIF1-α. We also characterized microenvironmental markers expressed by CAF, including expression of α-smooth muscle actin, CD10, podoplanin, fibroblast specific protein 1, platelet derived growth factor β, fibroblast association protein, tenascin-C (TNC), ZEB1 and TWIST1. The study population consisted of 286 CRC patients with stage II and III disease. Stage II and III CRC were divided into a first and a second cohort (for validation). The CRCs were stratified using cluster analysis. To identify the utility of prognostic markers in stage II and III CRC, univariate and multivariate analyses were performed in both cohorts.ResultsStage II and III CRCs were stratified into 3 subgroups. Specific subgroups were significantly correlated to disease-free survival using univariate and multivariate analyses in the first cohort. High expression of TNC was identified as a single prognostic marker in both cohorts by univariate and multivariate analyses.ConclusionsWe suggest that the presence of a specific subgroup defined by multiple markers can be used for prediction of CRC outcome in stages II and III. In addition, we showed that high expression of TNC was correlated with a poorer prognosis in stages II and III of CRC.

scholarly journals AKT3 Expression in Mesenchymal Colorectal Cancer Cells Drives Growth and Is Associated with Epithelial-Mesenchymal Transition

Cancers ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 801
Author(s):  
Joyce Y. Buikhuisen ◽  
Patricia M. Gomez Barila ◽  
Arezo Torang ◽  
Daniëlle Dekker ◽  
Joan H. de Jong ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Cancer Cells ◽  
Epithelial Mesenchymal Transition ◽  
Surrogate Marker ◽  
High Expression ◽  
Mesenchymal Transition ◽  
High Propensity ◽  
Colorectal Cancer Cells ◽  
Epithelial Compartment ◽  
Selection Of

Colorectal cancer (CRC) is a heterogeneous disease that can currently be subdivided into four distinct consensus molecular subtypes (CMS) based on gene expression profiling. The CMS4 subtype is marked by high expression of mesenchymal genes and is associated with a worse overall prognosis compared to other CMSs. Importantly, this subtype responds poorly to the standard therapies currently used to treat CRC. We set out to explore what regulatory signalling networks underlie the CMS4 phenotype of cancer cells, specifically, by analysing which kinases were more highly expressed in this subtype compared to others. We found AKT3 to be expressed in the cancer cell epithelium of CRC specimens, patient derived xenograft (PDX) models and in (primary) cell cultures representing CMS4. Importantly, chemical inhibition or knockout of this gene hampers outgrowth of this subtype, as AKT3 controls expression of the cell cycle regulator p27KIP1. Furthermore, high AKT3 expression was associated with high expression of epithelial-mesenchymal transition (EMT) genes, and this observation could be expanded to cell lines representing other carcinoma types. More importantly, this association allowed for the identification of CRC patients with a high propensity to metastasise and an associated poor prognosis. High AKT3 expression in the tumour epithelial compartment may thus be used as a surrogate marker for EMT and may allow for a selection of CRC patients that could benefit from AKT3-targeted therapy.

scholarly journals CD26-positive/CD326-negative circulating cancer cells as prognostic markers for colorectal cancer recurrence

2014 ◽  
Vol 9 (2) ◽  
pp. 542-550 ◽  
Author(s):  
EVA LIETO ◽  
GENNARO GALIZIA ◽  
MICHELE ORDITURA ◽  
CIRO ROMANO ◽  
ANNA ZAMBOLI ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Cancer Cells ◽  
Prognostic Markers ◽  
Cancer Recurrence ◽  
Circulating Cancer Cells ◽  
Colorectal Cancer Recurrence

Investigatory study of biomarkers for gastric cancer based on a cDNA bank.

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. 4070-4070
Author(s):  
Takashi Oshima ◽  
Toshio Imada ◽  
Chikara Kunisaki ◽  
Takaki Yoshikawa ◽  
Yasushi Rino ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Adjuvant Chemotherapy ◽  
Anticancer Agents ◽  
Quantitative Polymerase Chain Reaction ◽  
Gastric Cancer Tissue ◽  
Stage Ii ◽  
High Expression ◽  
Disease Stage ◽  
Cancer Tissue ◽  
Expression Levels

4070 Background: We have constructed a cDNA bank using mRNA extracted from frozen specimens of gastric cancer tissue and adjacent normal gastric mucosa and studied biomarkers for the individualized therapy of gastric cancer and the identification of new treatment targets. We report currently available results. Methods: We studied 227 patients in whom at least 5 years had elapsed since surgery for gastric cancer. The disease stage was IB in 29 patients, II in 66, III in 103, and IV in 29. Among the 139 patients who postoperatively received fluoropyrimidine anticancer agents, 82 with stage II or III disease were given adjuvant chemotherapy with S-1. A total 116 genes were selected as candidate biomarkers on the basis of the results of comprehensive DNA microarray analysis, extraction from a serial analysis of gene expression (SAGE) database, and other studies. The relative expression levels of these 116 genes in gastric cancer tissue and adjacent normal mucosa were measured in each case by a quantitative polymerase chain reaction assay using the cDNA databank described above, and the relations between clinical histopathological factors and treatment outcomes were examined. Results: In patients who underwent gastrectomy, high expression levels of the secreted protein acidic and rich in cysteine (SPARC), sulfatase 1 (SULF1), and inhibin, beta A (INHBA) genes were significantly associated with poor outcomes. In patients with stage II or III disease who received adjuvant chemotherapy with S-1, high expression levels of the insulin-like growth factor receptor 1 (IGF-1R), KIAA1199, thymidylate synthase (TS), and regenerating IV (Reg IV) genes were significantly associated with poor survival. Conclusions: Investigatory studies using a cDNA bank of biomarkers for gastric cancer suggested that expression levels of the SPARC, SULFI, and INHBA genes are useful prognostic factors in patients who undergo gastrectomy for gastric cancer. Expression levels of the IGF-1R, KIAA1199, TS, Reg IV, and INHBA genes may be useful biomarkers in patients who receive adjuvant chemotherapy with S-1.

scholarly journals A deep learning quantified stroma-immune score to predict survival of patients with stage II–III colorectal cancer

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Zeyan Xu ◽  
Yong Li ◽  
Yingyi Wang ◽  
Shenyan Zhang ◽  
Yanqi Huang ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
T Cells ◽  
Deep Learning ◽  
External Validation ◽  
Survival Rates ◽  
Tnm Stage ◽  
Stage Ii ◽  
Disease Stage ◽  
Immune Score ◽  
Development Group

Abstract Background Profound heterogeneity in prognosis has been observed in colorectal cancer (CRC) patients with intermediate levels of disease (stage II–III), advocating the identification of valuable biomarkers that could improve the prognostic stratification. This study aims to develop a deep learning-based pipeline for fully automatic quantification of immune infiltration within the stroma region on immunohistochemical (IHC) whole-slide images (WSIs) and further analyze its prognostic value in CRC. Methods Patients from two independent cohorts were divided into three groups: the development group (N = 200), the internal (N = 134), and the external validation group (N = 90). We trained a convolutional neural network for tissue classification of CD3 and CD8 stained WSIs. A scoring system, named stroma-immune score, was established by quantifying the density of CD3+ and CD8+ T-cells infiltration in the stroma region. Results Patients with higher stroma-immune scores had much longer survival. In the development group, 5-year survival rates of the low and high scores were 55.7% and 80.8% (hazard ratio [HR] for high vs. low 0.39, 95% confidence interval [CI] 0.24–0.63, P < 0.001). These results were confirmed in the internal and external validation groups with 5-year survival rates of low and high scores were 57.1% and 78.8%, 63.9% and 88.9%, respectively (internal: HR for high vs. low 0.49, 95% CI 0.28–0.88, P = 0.017; external: HR for high vs. low 0.35, 95% CI 0.15–0.83, P = 0.018). The combination of stroma-immune score and tumor-node-metastasis (TNM) stage showed better discrimination ability for survival prediction than using the TNM stage alone. Conclusions We proposed a stroma-immune score via a deep learning-based pipeline to quantify CD3+ and CD8+ T-cells densities within the stroma region on WSIs of CRC and further predict survival.

Correlation of plasma TIMP-1 levels and disease-free survival in primary colorectal cancer independent of serum CEA levels

2009 ◽  
Vol 27 (15_suppl) ◽  
pp. e22040-e22040
Author(s):  
H. J. Nielsen ◽  
N. Brünner ◽  
I. J. Christensen
Keyword(s):  
Colorectal Cancer ◽  
Local Recurrence ◽  
Prognostic Markers ◽  
Disease Free Survival ◽  
Distant Metastases ◽  
Disease Stage ◽  
Free Survival ◽  
Preoperative Serum ◽  
Serum Cea ◽  
Disease Free

e22040 Background: Introduction of independent prognostic markers may play a significant role in future treatment of early stage colorectal cancer (CRC). CEA is still the only recommended (ASCO and EGTM) serological marker in CRC. However, Tissue Inhibitor of Metallo Proteinases-1 (TIMP-1), which is a glycoprotein that acts as an inhibitor of most of the active matrix metalloproteinases, has previously been shown to carry independent prognostic information in patients with primary CRC. The purpose of the present study was to assess the combination of preoperative serum CEA and plasma TIMP-1as prognostic markers in patients undergoing resection for primary CRC. Methods: In the present prospective study serum and plasma samples were collected before surgery from 422 patients with primary CRC stage I-III. CEA was determined in serum by a commercial assay and TIMP-1 was determined in plasma using a thoroughly validated, in-house ELISA. Time to recurrence or death of CRC was registered and the association to serum CEA and plasma TIMP-1 levels were studied in a Cox multivariate model including age, gender, disease stage and tumor location. Hazard ratios and 95% confidence intervals (HR (95%CI)) for disease free survival (DFS) were calculated. Results: An event was recorded in 186 patients, 75 had local recurrence, 103 had a distant metastases (28 of these patients had both local recurrence and distant metastases) and 36 died from their cancer without a registered recurrence. Scoring CEA and TIMP-1 as continuous variables on a logarithmic scale (base 2), both serum CEA and plasma TIMP-1 were statistically significant in a multivariable analysis with HR=1.12 (1.03–1.21) and HR=1.51 (1.12–2.04), respectively. Additional calculations of low CEA plus low TIMP-1, high CEA plus low TIMP-1, low CEA plus high TIMP-1 and high CEA plus high TIMP-1 showed that high plasma TIMP-1 levels carried prominent information of poor prognosis independent of CEA. Conclusions: Preoperative serum CEA and plasma TIMP-1 levels were independent predictors of disease free survival for patients with primary CRC. Combination of the two proteins showed that TIMP-1 was a prominent predictor of poor DFS independent of CEA. [Table: see text]

Expression and methylation profiles associated with recurrent mutations in stage II colorectal cancer.

2013 ◽  
Vol 31 (15_suppl) ◽  
pp. e14613-e14613
Author(s):  
Laia Pare-Brunet ◽  
Rebeca Sanz-Pamplona ◽  
Adriana Lopez-Doriga ◽  
Antoni Berenguer-Llergo ◽  
Susanna Ausso ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Dna Methylation ◽  
Molecular Subtypes ◽  
Expression Patterns ◽  
Stage Ii ◽  
Molecular Heterogeneity ◽  
Rna Expression ◽  
Gene Methylation ◽  
Recurrent Mutations ◽  
Combining Data

e14613 Background: Aberration of normal genetic and epigenetic patterns occurs at early stages of colorectal cancer (CRC) and accumulates throughout cancer progression. To characterize pre-metastatic tumors, a series of stage II, microsatellite stable, colon tumors and their paired mucosa were profiled on RNA expression and DNA methylation microarrays ( www.colonomics.org ). Our aim is to define molecular subtypes based on recurrent gene mutations, methylation and expression profiles, and explore if these molecular subtypes are associated to patients’ prognosis. Methods: We have sequenced exomes (Illumina Genome Analyzer) of a subset of 42 COLONOMICS normal-tumor paired samples (21 good and 21 bad prognosis). Variants identified in normal tissue were used to filter SNPs. DNA methylation (Infinium Human Methylation 450k) and RNA expression (Affymetrix U219) data from those samples were used in this analysis. Correlation was used to assess the association between tumor mutations and differentially expressed/methylated genes. Significant genes were subsequently used to perform tumor clustering. Results: Exome analysis revealed a mean of 150 somatic mutations per sample. From these, 12 variants were recurrently mutated (KRAS, TP53, etc) in more than 3 tumors that were used to define tumor subtypes based on gene methylation/expression patterns. We obtained 12 profiles that clearly identified the cluster of mutated samples. For some profiles, the cluster only includes those tumors with the mutation. Interestingly, some clusters included the mutated samples and additional tumors showing the same phenotype despite not having the mutation. For each mutation, the overlapping between the differently methylated/expressed genes ranged from 14 to 200 common genes. When combining data from the three platforms two main CRC molecular subtypes emerge; each of which shows molecular heterogeneity but no association with prognosis. Conclusions: Mutational status is associated with gene methylation and expression patterns in CRC patients. Although none of these clusters was associated with prognosis, different groups of tumors could be related to distinctive pathways, which may reveal useful as therapeutic targets.

Racial disparities in survival after young-onset colorectal cancer.

2015 ◽  
Vol 33 (3_suppl) ◽  
pp. 524-524
Author(s):  
Elena Martinez Stoffel ◽  
Julie Ruterbusch ◽  
Laura S. Rozek ◽  
Michele L. Cote
Keyword(s):  
Colorectal Cancer ◽  
Racial Disparities ◽  
Early Stage ◽  
Tumor Biology ◽  
Cox Proportional Hazards ◽  
Stage Ii ◽  
Disease Stage ◽  
Early Stage Disease ◽  
Young Onset ◽  
Black And White

524 Background: Despite overall reductions in morbidity and mortality from colorectal cancer (CRC), racial disparities persist. In addition, incidence among individuals age <50 is rising. Our aim was to compare survival of young onset CRC cases diagnosed in black and white individuals. Methods: Using data from the National Cancer Institute’s Surveillance, Epidemiology, and End Results (SEER) program we identified individuals with CRC between the ages of 20 to 49, diagnosed in 2000-2008. Kaplan-Meier and Cox proportional hazards models were used to compare stage-specific 5 year survival between black and white individuals with young onset CRC. Results: A total of 26,236 incident young onset CRC cases (22,121 white, 4,115 black) were identified during the 9 year study period. Overall survival at 5 years following CRC diagnosis was 54.8% among blacks and 67.4% among whites (p<0.001), with blacks having a significantly higher hazard of death after adjusting for age, sex, stage, tumor site, and treatment history (HR 1.34, 95% CI 1.26-1.43). Stratifying by stage at CRC diagnosis, blacks had worse survival at every disease stage compared with whites, with the greatest racial disparities observed among stage II cancers of colon (HR 1.68 95% CI 1.38-2.04) and stage II and III cancers of the rectum (HR 1.78, 95% CI 1.51-2.09, and HR 1.86, 95% CI 1.54-2.24, respectively). Conclusions: Survival after diagnosis of CRC at young age is significantly worse among blacks compared to whites, even among individuals with early stage disease. These findings suggest that differences in tumor biology may play a role in racial disparities in CRC outcomes, which may have implications for adjuvant treatment.

Selecting patients with stage II/III colorectal cancer for 5-fluorouracil-based adjuvant chemotherapy using proteomic analysis.

2018 ◽  
Vol 36 (4_suppl) ◽  
pp. 708-708
Author(s):  
Dongyao Yan ◽  
Ji Hyung Hong ◽  
Hee Yeon Lee ◽  
Jae Ho Byun ◽  
Fabiola Cecchi ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Mass Spectrometry ◽  
Cohort Analysis ◽  
Tumor Stage ◽  
Stage Ii ◽  
Disease Stage ◽  
Rank Test ◽  
Kaplan Meier ◽  
Significant Difference ◽  
Student’S T

708 Background: 5-fluorouracil (5-FU) is a common adjuvant treatment for stage III and high-risk stage II colorectal cancer (CRC). However, about 20% of patients relapse within 48 months of treatment with 5-FU, even when combined with oxaliplatin. To improve patient selection, tumor biomarkers that predict sensitivity to 5-FU have been proposed. These include proteins involved in 5-FU activation or metabolism such as uridine-cytidine kinase 2 (UCK2) and thymidylate synthase (TYMS). We used multiplexed mass spectrometry to evaluate the utility these biomarkers in the archived tumor samples of patients with stage II/III CRC. Methods: Tumor samples were from 143 patients with stage II/III CRC who received adjuvant 5-FU, folinic acid, and oxaliplatin during 2000-2014; 83% of patients received 12 cycles and the others received ≤ 11 cycles. Tumor cells were microdissected and solubilized, and 67 candidate biomarkers were quantitated using mass spectrometry. Overall survival (OS) and relapse-free survival (RFS) were assessed using the Kaplan-Meier method and log-rank test. Protein expression by tumor stage, lymph node (LN) status, tumor sidedness was compared using the Student’s t-test. Results: Of 143 patients, 45 had recurrence and 98 patients did not. UCK2 was detected in all samples, ranging from 187 to 1606 attomoles per microgram of total protein (amol/µg). Patients with UCK2 expression above 335 amol/μg (n = 109) had significantly longer OS than patients with lower expression (n = 34; HR: 0.42; p= 0.009). There was no significant difference in RFS (HR: 0.6; p= 0.088). UCK2 expression did not differ by disease stage, LN metastasis status, or tumor sidedness. TYMS expression was not associated with survival in this cohort. Analysis of other biomarkers associated with response to 5-FU and platinum is in progress. Conclusions: In stage II/III CRC, UCK2 expression above 335 amol/μg identifies a subgroup of 5-FU-treated CRC patients with longer survival, suggesting that quantitated UCK2 has potential for use in selecting patients for treatment. These findings warrant validation in larger cohorts.

scholarly journals Immuno-genomic classification of colorectal cancer organoids reveals cancer cells with intrinsic immunogenic properties associated with patient survival

2021 ◽  
Vol 40 (1) ◽  
Author(s):  
Eun Jeong Cho ◽  
Minsuh Kim ◽  
Daum Jo ◽  
Jihye Kim ◽  
Ji-Hye Oh ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Cancer Cells ◽  
Signaling Pathways ◽  
Patient Survival ◽  
Expression Profiles ◽  
Disease Stage ◽  
Large Set ◽  
Primary Tumors ◽  
Variable Expression ◽  
Immunogenic Properties

Abstract Background The intrinsic immuno-ge7nomic characteristics of colorectal cancer cells that affect tumor biology and shape the tumor immune microenvironment (TIM) are unclear. Methods We developed a patient-derived colorectal cancer organoid (CCO) model and performed pairwise analysis of 87 CCOs and their matched primary tumors. The TIM type of the primary tumor was classified as immuno-active, immuno-exhausted, or immuno-desert. Results The gene expression profiles, signaling pathways, major oncogenic mutations, and histology of the CCOs recapitulated those of the primary tumors, but not the TIM of primary tumors. Two distinct intrinsic molecular subgroups of highly proliferative and mesenchymal phenotypes with clinical significance were identified in CCOs with various cancer signaling pathways. CCOs showed variable expression of cancer-specific immune-related genes such as those encoding HLA-I and HLA-II, and molecules involved in immune checkpoint activation/inhibition. Among these genes, the expression of HLA-II in CCOs was associated with favorable patient survival. K-means clustering analysis based on HLA-II expression in CCOs revealed a subgroup of patients, in whom cancer cells exhibited Intrinsically Immunogenic Properties (Ca-IIP), and were characterized by high expression of signatures associated with HLA-I, HLA-II, antigen presentation, and immune stimulation. Patients with the Ca-IIP phenotype had an excellent prognosis, irrespective of age, disease stage, intrinsic molecular type, or TIM status. Ca-IIP was negatively correlated with intrinsic E2F/MYC signaling. Analysis of the correlation between CCO immuno-genotype and TIM phenotype revealed that the TIM phenotype was associated with microsatellite instability, Wnt/β-catenin signaling, APC/KRAS mutations, and the unfolded protein response pathway linked to the FBXW7 mutation in cancer cells. However, Ca-IIP was not associated with the TIM phenotype. Conclusions We identified a Ca-IIP phenotype from a large set of CCOs. Our findings may provide an unprecedented opportunity to develop new strategies for optimal patient stratification in this era of immunotherapy.

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