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Original Article

Tumor Microsatellite Instability and Clinical Outcome in Young Patients with Colorectal Cancer

Robert Gryfe, M.D., Hyeja Kim, M.Sc., Eugene T.K. Hsieh, M.D., Melyssa D. Aronson, M.Sc., Eric J. Holowaty, M.D., Shelley B. Bull, Ph.D., Mark Redston, M.D., and Steven Gallinger, M.D.

N Engl J Med 2000; 342:69-77January 13, 2000

Abstract

Background

Colorectal cancer can arise through two distinct mutational pathways: microsatellite instability or chromosomal instability. We tested the hypothesis that colorectal cancers arising from the microsatellite-instability pathway have distinctive clinical attributes that affect clinical outcome.

Methods

We tested specimens of colorectal cancer from a population-based series of 607 patients (50 years of age or younger at diagnosis) for microsatellite instability. We compared the clinical features and survival of patients who had colorectal cancer characterized by high-frequency microsatellite instability with these characteristics in patients who had colorectal cancers with microsatellite stability.

Results

We found high-frequency microsatellite instability in 17 percent of the colorectal cancers in 607 patients, and in a multivariate analysis, microsatellite instability was associated with a significant survival advantage independently of all standard prognostic factors, including tumor stage (hazard ratio, 0.42; 95 percent confidence interval, 0.27 to 0.67; P< 0.001). Furthermore, regardless of the depth of tumor invasion, colorectal cancers with high-frequency microsatellite instability had a decreased likelihood of metastasizing to regional lymph nodes (odds ratio, 0.33; 95 percent confidence interval, 0.21 to 0.53; P< 0.001) or distant organs (odds ratio, 0.49; 95 percent confidence interval, 0.27 to 0.89; P=0.02).

Conclusions

High-frequency microsatellite instability in colorectal cancer is independently predictive of a relatively favorable outcome and, in addition, reduces the likelihood of metastases.

Media in This Article

Figure 2Kaplan–Meier Survival Curves for Patients with Colorectal Cancer, Stratified According to Microsatellite Status.
Figure 1Colorectal Cancers with High-Frequency Microsatellite Instability (MSI) and Microsatellite Stability (MSS).
Article

Colorectal cancer is the third most common cancer in Western society.1,2 Despite advances in screening, diagnosis, and treatment, it is still the second leading cause of cancer-related death in North America.1,2 Much has been learned over the past decade about the molecular genetic alterations that give rise to colorectal cancer. However, this knowledge has yet to affect its clinical management substantially, and pathological staging remains the basis for prognostication and decisions about therapy.3

It is now commonly believed that all cancers arise as a result of the accumulation of genetic alterations that allow the growth of neoplastic cells.4,5 However, the rate of random mutational events alone cannot account for the number of genetic alterations found in most cancers in humans.6 For this reason, it has been suggested that destabilization of the genome may be a prerequisite early in carcinogenesis.6,7 This “mutator phenotype” is best understood in colorectal cancer, in which there are two separate destabilizing pathways.8,9 The more common of these mutational pathways involves chromosomal instability9,10 characterized by allelic losses (loss of heterozygosity), chromosomal amplifications, and translocations in colorectal-cancer cells. In the second mutational pathway, colorectal cancers display increased rates of intragenic mutation, characterized by generalized instability of short, tandemly repeated DNA sequences known as microsatellites.11-13 High-frequency microsatellite instability (instability at 40 percent or more of microsatellite loci) has been found in most cases of hereditary nonpolyposis colorectal cancer11,14 as defined by the Amsterdam criteria (which require that at least three persons from at least two successive generations have colorectal cancer and that the disease be diagnosed in at least one of these persons by the age of 50).15 In addition, high-frequency microsatellite instability occurs in approximately 15 percent of sporadic cases of colorectal cancer.12-14

Normally, mismatches of nucleotides that occur when DNA polymerase inserts the wrong bases in newly synthesized DNA are repaired by mismatch-repair enzymes. Defects in mismatch repair lead to high-frequency microsatellite instability in colorectal cancer.16-20 Inherited germ-line mutations of mismatch-repair genes have been found in approximately 50 percent of persons with a family history that fulfills the Amsterdam criteria.21,22 Alterations of the MSH2 and MLH1 mismatch-repair genes account for more than 90 percent of these cases.5,21 In addition, acquired, noninherited alterations of the MLH1 gene occur in most sporadic cases of colorectal cancer with high-frequency microsatellite instability.23,24

Although colorectal cancer continues to be regarded as a single disease, it is possible that colorectal cancers with high-frequency microsatellite instability constitute a clinically distinct subtype. A number of studies have shown that high-frequency microsatellite instability occurs relatively frequently in colorectal cancers that arise proximal to the splenic flexure,12,13 in poorly differentiated cancers or those of the mucinous-cell type, and in cancers with peritumoral lymphocytic infiltration.25 Furthermore, it has been suggested that the survival of patients with colorectal cancers that have arisen from the high-frequency microsatellite-instability pathway is longer than the survival of patients with cancers that have microsatellite stability.12,26-29 (The latter cases constitute the majority of colorectal cancers.) However, these results were obtained from small, uncontrolled, or potentially biased analyses. We therefore conducted a population-based study to determine whether high-frequency microsatellite instability is an independent predictor of improved survival in patients with colorectal cancer.

Methods

Study Population

Through the Ontario Cancer Registry, we identified a population-based series of all newly diagnosed cases of histopathologically confirmed colorectal adenocarcinoma in patients 50 years of age or younger who were residing in Central-East Ontario (an area with a population of approximately 4.7 million) between January 1, 1989, and December 31, 1993. Identification through the Ontario Cancer Registry has been estimated to identify 96 percent of all Ontario residents with a diagnosis of colorectal cancer.30 After obtaining permission to contact subjects from the physicians who treated the patients, we collected information on family history and clinical screening from the patients or their next of kin, or by reviewing medical charts.

We excluded patients from the study if they did not undergo resection of the primary colorectal adenocarcinoma or if pathological review did not confirm invasion of the tumor to at least the level of the submucosa (stage T1 or higher). In total, 640 patients treated at 41 hospitals were eligible for inclusion in the study. Specimens of colorectal cancer from 607 of the patients (95 percent) were available for retrieval and testing. The study was approved by the Human Ethics Committee of the University of Toronto.

Clinical Data Base

A clinical data base was prepared by persons with no knowledge of the results of molecular genetic testing of each patient's cancer. The date of the patient's first biopsy or resection that provided a histologic diagnosis of adenocarcinoma of the colon or rectum was recorded as the date of diagnosis of cancer.

We classified cancers according to several gross and histologic features. With the exception of the preoperative level of serum carcinoembryonic antigen, we included all College of American Pathologists category I factors (pathological stage, tumor cell type, tumor grade, and presence or absence of extramural venous invasion), which are well supported by the literature and are generally used in patient care.31 All specimens underwent histopathological review by a single pathologist, who was unaware of the results of molecular genetic testing. In accordance with the classification of tumors by the World Health Organization,32 we defined tumors as signet-ring cell or mucinous if 50 percent or more of the tumor displayed the specified cell type and as undifferentiated if features of tumor-cell differentiation were absent. Other tumors were classified as “adenocarcinoma, not otherwise specified” or, in rare cases, adenosquamous carcinoma, if malignant squamous and glandular components were present. Distant metastases were judged to be present if they appeared in a histopathological specimen or if they were identified by the Ontario Cancer Registry within 120 days after diagnosis. In total, 103 of the 138 cases of distant-organ metastases (75 percent) were confirmed by histopathological examination.

Radiation treatment in Ontario is provided exclusively at nine specialized oncologic-treatment centers that report to the Ontario Cancer Registry. Data on radiation treatment initiated within 120 days after diagnosis were extracted from Ontario Cancer Registry records and were available for all study patients. Chemotherapy for cancer may be administered either in oncologic-treatment centers or in other hospitals and clinics in the province. Information on chemotherapy initiated within 120 days after diagnosis was acquired from the data bases of both the Ontario Cancer Registry and the Ontario Institute for Clinical Evaluative Sciences and was available for 392 of the 607 study patients (65 percent).

DNA Preparation, Microsatellite Testing, and Analysis

Blocks of surgically resected cancerous tissue that had been fixed in formalin and embedded in paraffin were requested from the relevant pathology departments for all patients. For each specimen, regions of invasive cancer with the highest proportion of neoplastic cells (median, 80 percent; range, 40 to 100 percent) and normal tissue were microdissected, and DNA was extracted by proteinase K digestion.33 Samples of genomic DNA were used to amplify sequences (by the polymerase chain reaction [PCR]) from 5 to 10 of the following mononucleotide and dinucleotide microsatellite loci: BAT-25, BAT-26, D5S346, D2S123, D17S250, BAT-40, TGF-β RII, D18S58, D18S69, and D17S787 (Human MapPairs, Research Genetics, Huntsville, Ala.). These specific microsatellite loci were derived from the National Cancer Institute reference and alternative loci panel in order to ensure standardized findings.34 Primer sequences and conditions of the PCR assay and gel electrophoresis have been published previously.33,35

The presence of additional bands in the PCR product from tumor DNA, not observed in DNA from normal tissue from the same patient, was scored as instability at that particular locus. In accordance with the National Cancer Institute consensus on microsatellite instability,34 any pair of samples of normal DNA and tumor DNA that displayed instability at two or more of five loci was scored as having high-frequency microsatellite instability, whereas a sample pair with no instability at five loci was scored as having microsatellite stability. Any sample pair observed to have instability at one of five microsatellite loci underwent a second test at that locus. If instability was confirmed, additional loci, up to a maximum of 10, were tested to determine whether the phenotype of the sample was low-frequency microsatellite instability — instability at 1 to 3 of 10 loci assayed — or high-frequency microsatellite instability — instability at 4 or more loci.

Statistical Analysis

The primary outcome of this study was overall survival, measured from the date of histologic diagnosis of colorectal cancer. The study was designed to determine the prognostic importance of high-frequency microsatellite instability in addition to known prognostic factors. Because the genetic basis of low-frequency microsatellite instability remains poorly understood,34 and because the incidence of low-frequency microsatellite instability was too low in our series to allow for meaningful statistical testing, we excluded from the study 20 patients (3 percent) with colorectal cancers characterized by low-frequency microsatellite instability before we performed the statistical analysis.

The univariate associations between the presence or absence of high-frequency microsatellite instability and base-line prognostic factors were analyzed with a chi-square test for categorical variables and an unpaired Student's t-test for continuous factors. The associations of microsatellite status and the depth of tumor invasion with metastases to regional lymph nodes and distant organs were evaluated with multivariate logistic regression. Survival curves were prepared according to the method of Kaplan and Meier,36 and univariate survival distributions were compared with use of the log-rank test. All patients were followed from diagnosis until death or until data were censored (and the patient considered to be alive) as of September 30, 1998. A multivariate survival analysis was evaluated according to the Cox proportional-hazards model.37 A model obtained with step-down variable selection, in which all prognostic factors were initially entered into the model and in which nonsignificant factors (P>0.1) were successively rejected, was compared with the primary model, which included all prognostic factors regardless of their measured significance. All factors were treated as simple categorical variables with the exception of age at diagnosis, which was analyzed as a continuous variable. All reported P values are two-sided, and P values of less than 0.05 were considered to indicate statistical significance.

Results

Clinical Characteristics Associated with High-Frequency Microsatellite Instability

Of the 607 specimens of colorectal cancer that we tested, 102 (17 percent) were characterized by high-frequency microsatellite instability, 20 (3 percent) had low-frequency microsatellite instability, and 485 (80 percent) had microsatellite stability (Figure 1Figure 1Colorectal Cancers with High-Frequency Microsatellite Instability (MSI) and Microsatellite Stability (MSS).). Colorectal cancers with high-frequency microsatellite instability were more likely to be poorly differentiated and located proximal to the splenic flexure than were cancers with microsatellite stability (Table 1Table 1Characteristics of 587 Patients with Colorectal Cancer Evaluated for Microsatellite Instability.). The patients with colorectal cancer with high-frequency microsatellite instability were more likely to have multiple synchronous or metachronous colorectal cancers and received a diagnosis at a younger age than the patients with colorectal cancers with microsatellite stability.

Although colorectal cancers with high-frequency microsatellite instability were diagnosed at a significantly greater depth of tumor invasion, these tumors had a significantly lower overall pathological stage than cancers with microsatellite stability (Table 1). Multivariate logistic regression demonstrated that both high-frequency microsatellite instability and a lesser depth of tumor invasion were independently associated with a decreased likelihood of metastases to either regional lymph nodes or distant organs (Table 2Table 2Multivariate Analysis of Predictive Factors for Metastases to Regional Lymph Nodes or Distant Organs in 587 Patients with Colorectal Cancer.).

To ensure that treatment did not differ in an era when the benefits of adjuvant therapy were still being established, we compared the use of chemotherapy and radiation therapy in patients with colorectal cancer with high-frequency microsatellite instability with their use in patients whose cancers had microsatellite stability. Although a trend toward more frequent use of chemotherapy and radiation treatment was evident in the care of patients whose cancers had microsatellite stability (Table 1), we found no significant differences in treatment patterns after controlling for pathological stage (P=0.60 for chemotherapy and P=0.14 for radiation therapy, according to logistic-regression analysis).

High-Frequency Microsatellite Instability and Standard Clinical Prognostic Factors for Survival

In total, 272 of the 587 patients (46 percent) died during a mean follow-up period of 7.2±0.1 years after diagnosis. The survival of patients with colorectal cancers with high-frequency microsatellite instability (mean [±SE] five-year survival, 76±4 percent) was significantly better than that of patients with cancers with microsatellite stability (five-year survival, 54±2 percent; P<0.001) (Figure 2Figure 2Kaplan–Meier Survival Curves for Patients with Colorectal Cancer, Stratified According to Microsatellite Status.). Colorectal cancers with mucinous, signet-ring, and undifferentiated cell types, poorer grade, higher pathological stage, or extramural venous invasion were associated with significantly lower survival (Table 3Table 3Univariate Analysis of Predictive Factors for Survival in 587 Patients with Colorectal Cancer.).

Information on family history was available for 84 (82 percent) of the 102 patients who had colorectal cancer with high-frequency microsatellite instability, including 21 of the 29 patients (72 percent) who died during follow-up. In total, 13 of these 84 patients (15 percent) had family histories that fulfilled the Amsterdam criteria for hereditary nonpolyposis colorectal cancer. Among the patients who had cancer with high-frequency microsatellite instability, no significant difference in survival was found between those who fulfilled the Amsterdam criteria (five-year survival, 77±12 percent) and those who did not (five-year survival, 78±5 percent; P=0.41). Of the 84 patients, only 1 (whose family history did not fulfill the Amsterdam criteria) was asymptomatic when a diagnosis was made by clinical screening.

In a step-down multivariate analysis, the microsatellite status, pathological stage, tumor grade, and histologic type of the cancer were found to be significantly and independently associated with survival (Table 4Table 4Significant Predictive Factors for Survival in a Cox Proportional-Hazards Analysis of 587 Patients with Colorectal Cancer.). The survival advantage of high-frequency microsatellite instability over microsatellite stability was similar in the model that included all 12 prognostic variables listed in Table 3, regardless of their measured significance (hazard ratio, 0.42; 95 percent confidence interval, 0.27 to 0.67; P<0.001). The proportionality of the survival advantage associated with high-frequency microsatellite instability can be seen in Kaplan–Meier survival curves stratified according to disease stage (Figure 2).

Discussion

Because most cancers are thought to arise from an accumulation of genetic alterations, it is not surprising that cancers that emerge from different mutational pathways should differ clinically. We have found this to be the case for the subgroup of colorectal cancers that are characterized by high-frequency microsatellite instability. In our population-based series, high-frequency microsatellite instability was associated with prolonged survival independently of classic clinical prognostic factors, including the disease stage. Eighty-five percent of the patients who had cancer with high-frequency microsatellite instability did not have a family history suggestive of hereditary nonpolyposis colorectal cancer. For this reason, the considerable survival advantage conferred by high-frequency microsatellite instability appears to be applicable to both heritable and sporadic types of colorectal cancer. Furthermore, in only one of the patients whose cancer had high-frequency microsatellite instability was the cancer diagnosed by clinical screening when he was asymptomatic; this fact eliminates lead-time bias as a likely cause of the survival advantage.

The association of high-frequency microsatellite instability with improved clinical outcome has been suggested previously.12,26-29 In other studies, however, no survival advantage was detected,38-41 and a recent National Cancer Institute workshop concluded that microsatellite instability had not yet been shown conclusively to be an independent predictor of prognosis.34 Furthermore, since the first descriptions of high-frequency microsatellite instability,11-13 the literature has been complicated by inconsistent and confusing definitions of this molecular phenotype.34 The term “high-frequency microsatellite instability” is meant to describe a generalized (not occasional) instability of microsatellite DNA in cancers that almost always lack the ability to repair mismatched bases in DNA. For this reason, the National Cancer Institute has defined high-frequency microsatellite instability, low-frequency microsatellite instability, and microsatellite stability in colorectal cancer in terms of how many microsatellite loci and which specific loci need to be tested and shown to be altered.34 In our study we used these consensus definitions.

We found a 17 percent incidence of high-frequency microsatellite instability, but in a recent large series reported by Aaltonen et al.,14 a 12 percent incidence was found. There was a similar difference in incidence among patients whose family histories fulfilled the Amsterdam criteria for hereditary nonpolyposis colorectal cancer (15 percent in our series and 11 percent in the study by Aaltonen et al.14). Thus, the differences noted are likely to reflect the fact that our population was relatively young (all received a diagnosis at 50 years of age or younger) and thus may have included a greater proportion of patients with hereditary nonpolyposis colorectal cancer. Despite their relatively young age, less than 10 percent of the patients in our cohort had colorectal cancer associated with hereditary nonpolyposis colorectal cancer, familial adenomatous polyposis, or inflammatory bowel disease.

Previous case–control studies reported that 58 percent42 and 47 percent28 of colorectal cancers in patients 35 years of age or younger and 40 years of age or younger, respectively, had high-frequency microsatellite instability. These results highlight the need for unbiased methods of case ascertainment to use as a basis for calculating accurate frequencies of molecular markers such as high-frequency microsatellite instability.

In addition to high-frequency microsatellite instability, we found that the pathological stage of colorectal cancer was an independent and powerful predictor of clinical outcome. This is not surprising, because the pathological stage is the main determinant of outcome for most cancers.3 The fact that high-frequency microsatellite instability was strongly associated with a lower stage of cancer, even after we controlled for the depth of tumor invasion, is intriguing. These results indicate that high-frequency microsatellite instability contributes to improved survival in two separate ways. First, high-frequency microsatellite instability is prognostic of improved survival independently of other prognostic factors, including pathological stage. Second, high-frequency microsatellite instability is independently predictive of lower pathological stage, thus further contributing to the improved survival through tumor down-staging.

The mechanism by which high-frequency microsatellite instability influences clinical outcome is unknown, but it may be related to the kinds of mutations or the genetic targets involved in colorectal cancers that are deficient in DNA-mismatch repair. For example, colorectal cancers with high-frequency microsatellite instability have fewer mutations of the adenomatous polyposis coli (APC)43 and p5313,43 genes and more frequent mutations of the β-catenin (CTNNB1)44,45 and transforming growth factor β receptor type II46 genes than colorectal cancers with microsatellite stability. Distinct clinical and pathological features, such as the intense lymphocytic infiltrates observed in tumors with high-frequency microsatellite instability,25 may result from these unique genetic alterations and contribute to the less aggressive nature of these cancers.

In addition, the therapeutic effects of DNA-damaging chemotherapeutic agents, such as fluorouracil, are likely to be influenced by the underlying mutational mechanism. In vitro, cell lines with high-frequency microsatellite instability are less responsive than cell lines with microsatellite stability to various chemotherapeutic agents.47 Furthermore, the targeting of DNA cells that are deficient in mismatch repair may offer a specific intervention that does not affect normal tissues that retain mismatch-repair function.48

In conclusion, we detected high-frequency microsatellite instability in 17 percent of colorectal-cancer specimens from a population-based series of relatively young patients. In most of these patients, there was no family history suggestive of hereditary nonpolyposis colorectal cancer. High-frequency microsatellite instability was found to be an independent predictor of improved survival, and tumors with this genetic phenotype were less likely to metastasize than those characterized by microsatellite stability.

Supported by the National Cancer Institute of Canada with funds provided by the Canada Cancer Society. Dr. Gryfe is a Research Fellow of the National Cancer Institute of Canada, with funds provided by the Terry Fox Run, and was supported by the American Society of Colon and Rectal Surgeons through the Leon Hirsch Surgical Research Fellowship. Dr. Bull is a National Health Research Scholar of the National Health Research Development Program.

We are indebted to the treating physicians and participating departments of pathology for their cooperation; to Darlene Dale, Nelson Chong, Lisa Madlensky, Dr. Andrew Smith, Dr. Malcolm Moore, and Scott Mackay for assistance in data retrieval; to Dr. Susan Bondy and Marc Theriault of the Institute for Clinical Evaluative Sciences for assistance in the analysis of chemotherapy data; to Kazy Hay and Susie Tjan for assistance in specimen handling; and to Dr. Robin McLeod, Dr. Steven Narod, Dr. Michelle Cotterchio, and Dr. Allan Detsky for helpful discussions.

Source Information

From the Centre for Cancer Genetics (R.G., H.K., E.T.K.H., M.R., S.G.) and the Division of Clinical Epidemiology (S.B.B.), Samuel Lunenfeld Research Institute; the Departments of Surgery (R.G., M.D.A., S.G.), Laboratory Medicine and Pathobiology (E.T.K.H., M.R.), and Public Health Sciences (E.J.H., S.B.B.), University of Toronto; and Cancer Care Ontario (E.J.H.) — all in Toronto.

Address reprint requests to Dr. Gallinger at Mount Sinai Hospital, 600 University Ave., Suite 1225, Toronto, ON M5G 1X5, Canada, or at .

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Citing Articles (356)

Citing Articles

  1. 1

    Erin MacQuarrie, Thomas Arnason, Jennette Gruchy, Sen Yan, Arik Drucker, Weei-Yuarn Huang. (2012) Microsatellite instability status does not predict total lymph node or negative lymph node retrieval in stage III colon cancer. Human Pathology
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    Axel Grothey. (2012) Optimal Treatment Strategies for Localized and Advanced Microsatellite Instability–High Colorectal Cancer. Current Colorectal Cancer Reports
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    Emily Steinhagen, Jinru Shia, Arnold J. Markowitz, Zsofia K. Stadler, Erin E. Salo-Mullen, Junting Zheng, Steven A. Lee-Kong, Garrett M. Nash, Kenneth Offit, José G. Guillem. (2012) Systematic Immunohistochemistry Screening for Lynch Syndrome in Early Age-of-Onset Colorectal Cancer Patients Undergoing Surgical Resection. Journal of the American College of Surgeons 214:1, 61-67
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    William K. Funkhouser, Ira M. Lubin, Federico A. Monzon, Barbara A. Zehnbauer, James P. Evans, Shuji Ogino, Jan A. Nowak. (2012) Relevance, Pathogenesis, and Testing Algorithm for Mismatch Repair–Defective Colorectal Carcinomas. The Journal of Molecular Diagnostics
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    Teppei Morikawa, Aya Kuchiba, Zhi Rong Qian, Mari Mino-Kenudson, Jason L. Hornick, Mai Yamauchi, Yu Imamura, Xiaoyun Liao, Reiko Nishihara, Jeffrey A. Meyerhardt, Charles S. Fuchs, Shuji Ogino. (2011) Prognostic Significance and Molecular Associations of Tumor Growth Pattern in Colorectal Cancer. Annals of Surgical Oncology
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    Jeffrey Deusen, David S. Hsu. (2011) Predictive and prognostic biomarkers in colorectal cancer. Frontiers in Biology 6:6, 482-489
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    Ashraf E K Ibrahim, Mark J Arends. (2011) Molecular typing of colorectal cancer: applications in diagnosis and treatment. Diagnostic Histopathology
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    Luca Morandi, Dario Biase, Michela Visani, Adriana Monzoni, Annalisa Tosi, Mauro Brulatti, Daniela Turchetti, Paola Baccarini, Giovanni Tallini, Annalisa Pession. (2011) T[20] repeat in the 3′-untranslated region of the MT1X gene: a marker with high sensitivity and specificity to detect microsatellite instability in colorectal cancer. International Journal of Colorectal Disease
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    Chun-Chi Lin, Yi-Ling Lai, Tzu-Chen Lin, Wei-Shone Chen, Jeng-Kai Jiang, Shung-Haur Yang, Huann-Sheng Wang, Yuan-Tzu Lan, Wen-Yih Liang, Hui-Mei Hsu, Jen-Kou Lin, Shih-Ching Chang. (2011) Clinicopathologic features and prognostic analysis of MSI-high colon cancer. International Journal of Colorectal Disease
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    Angiolo Gadducci, Stefania Cosio, Andrea Riccardo Genazzani. (2011) Tissue and serum biomarkers as prognostic variables in endometrioid-type endometrial cancer. Critical Reviews in Oncology/Hematology 80:2, 181-192
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    José Perea, Yolanda Rodríguez, Daniel Rueda, José C. Marín, José Díaz-Tasende, Edurne Álvaro, Cristina Alegre, Irene Osorio, Francisco Colina, Manuel Lomas, Manuel Hidalgo, Javier Benítez, Miguel Urioste. (2011) Early-Onset Colorectal Cancer is an Easy and Effective Tool to Identify Retrospectively Lynch Syndrome. Annals of Surgical Oncology 18:12, 3285-3291
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    Alexander Stein, Sonja Hiemer, Hans-Joachim Schmoll. (2011) Adjuvant Therapy for Early Colon Cancer. Drugs1
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    Kein-Leong Yim. (2011) Microsatellite instability in metastatic colorectal cancer: a review of pathology, response to chemotherapy and clinical outcome. Medical Oncology
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    Y. Nancy You, Eric J. Dozois, Lisa A. Boardman, Jeremiah Aakre, Marianne Huebner, David W. Larson. (2011) Young-Onset Rectal Cancer: Presentation, Pattern of Care and Long-term Oncologic Outcomes Compared to a Matched Older-Onset Cohort. Annals of Surgical Oncology 18:9, 2469-2476
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    Wei Chua, Patricia S. Kho, Melissa M. Moore, Kellie A. Charles, Stephen J. Clarke. (2011) Clinical, laboratory and molecular factors predicting chemotherapy efficacy and toxicity in colorectal cancer. Critical Reviews in Oncology/Hematology 79:3, 224-250
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    Shuji Ogino, Jérôme Galon, Charles S. Fuchs, Glenn Dranoff. (2011) Cancer immunology—analysis of host and tumor factors for personalized medicine. Nature Reviews Clinical Oncology
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    Efrat Dotan, Steven J. Cohen. (2011) Challenges in the Management of Stage II Colon Cancer. Seminars in Oncology 38:4, 511-520
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    Hyun-Jin Roh, Dong-Soo Suh, Kyung-Un Choi, Hang-Jo Yoo, Won-Deok Joo, Man-Soo Yoon. (2011) Inactivation of O6-methyguanine-DNA methyltransferase by promoter hypermethylation: Association of epithelial ovarian carcinogenesis in specific histological types. Journal of Obstetrics and Gynaecology Research 37:7, 851-860
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    Aziz Zaanan, Katy Meunier, Fatiha Sangar, Jean-François Fléjou, Françoise Praz. (2011) Microsatellite instability in colorectal cancer: from molecular oncogenic mechanisms to clinical implications. Cellular Oncology 34:3, 155-176
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    Ibrahim Aldoss, Syma Iqbal. (2011) Adjuvant Treatment and Predictors of Response in Colon Cancer. Seminars in Colon and Rectal Surgery 22:2, 131-136
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    Maria S Pino, Daniel C Chung. (2011) Microsatellite instability in the management of colorectal cancer. Expert Review of Gastroenterology & Hepatology 5:3, 385-399
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    Matej Horvat, Borut Stabuc. (2011) Microsatellite instability in colorectal cancer. Radiology and Oncology 45:2, 75-81
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    Yong Sik Yoon, Chang Sik Yu, Tae Won Kim, Jong Hoon Kim, Se Jin Jang, Dong Hyung Cho, Seon Ae Roh, Jin Cheon Kim. (2011) Mismatch repair status in sporadic colorectal cancer: immunohistochemistry and microsatellite instability analyses. Journal of Gastroenterology and Hepatologyno-no
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    I. Oikonomakis. (2011) Colorectal cancer: The issue of uniformity throughout the colon in light of molecular marker expression. Hellenic Journal of Surgery 83:2, 57-66
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    Alex Vilkin, Yaron Niv. (2011) Association between hMLH1 hypermethylation and JC virus (JCV) infection in human colorectal cancer (CRC). Clinical Epigenetics 2:1, 1-5
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    Frank A Sinicrope, Zhineng Jayson Yang. (2011) Prognostic and predictive impact of DNA mismatch repair in the management of colorectal cancer. Future Oncology 7:3, 467-474
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    Hyunki Kim, Ji Yeong An, Sung Hoon Noh, Sung Kwan Shin, Yong Chan Lee, Hoguen Kim. (2011) High microsatellite instability predicts good prognosis in intestinal-type gastric cancers. Journal of Gastroenterology and Hepatology 26:3, 585-592
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    Colin R Lindsay, Jim Cassidy. (2011) XELOX in colorectal cancer: a convenient option for the future?. Expert Review of Gastroenterology & Hepatology 5:1, 9-19
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    Chien-Hsing Lin, Jen-Kou Lin, Shih-Ching Chang, Ya-Hui Chang, Hwey-May Chang, Jin-Hwang Liu, Ling-Hui Li, Yuan-Tsong Chen, Shih-Feng Tsai, Wei-Shone Chen. (2011) Molecular profile and copy number analysis of sporadic colorectal cancer in Taiwan. Journal of Biomedical Science 18:1, 36
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    Pierre H Chapuis, Charles Chan, Owen F Dent. (2011) Clinicopathological staging of colorectal cancer: Evolution and consensus-an Australian perspective. Journal of Gastroenterology and Hepatology 26, 58-64
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    Magali Svrcek, Pascale Cervera, Richard Hamelin, Olivier Lascols, Alex Duval, Jean-François Fléjou. (2011) Cancer colorectal : les nouveaux rôles du pathologiste à l’ère de la biologie moléculaire et des thérapies « ciblées ». Revue Francophone des Laboratoires 2011:428, 29-41
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    Karen F. Murray, Laura S. Finn. 2011. Neoplasms of the Gastrointestinal Tract and Liver. , 528-539.
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    Ji Yeong An, Hyunki Kim, Jae-Ho Cheong, Woo Jin Hyung, Hoguen Kim, Sung Hoon Noh. (2011) Microsatellite instability in sporadic gastric cancer : Its prognostic role and guidance for 5-FU based chemotherapy after R0 resection. International Journal of Cancern/a-n/a
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    Margot G.F. van Lier, Celine H.M. Leenen, Anja Wagner, Dewkoemar Ramsoekh, Hendrikus J. Dubbink, Ans M.W. van den Ouweland, Pieter J Westenend, Eelco J.R. de Graaf, Leonieke M.M. Wolters, Wietske W. Vrijland, Ernst J Kuipers, Monique E. van Leerdam, Ewout W. Steyerberg, Winand N.M. Dinjens, . (2011) Yield of routine molecular analyses in colorectal cancer patients ≤ 70 years to detect underlying Lynch syndrome. The Journal of Pathologyn/a-n/a
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    J. L. Wilding, S. McGowan, Y. Liu, W. F. Bodmer. (2010) Replication error deficient and proficient colorectal cancer gene expression differences caused by 3'UTR polyT sequence deletions. Proceedings of the National Academy of Sciences 107:49, 21058-21063
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    Seung Tae Kim, Jeeyun Lee, Se Hoon Park, Joon Oh Park, Ho Yeong Lim, Won Ki Kang, Jin Yong Kim, Young Ho Kim, Dong Kyung Chang, Poong-Lyul Rhee, Dae Shick Kim, Haeran Yun, Yong Beom Cho, Hee Cheol Kim, Seong Hyeon Yun, Ho-Kyung Chun, Woo Yong Lee, Young Suk Park. (2010) The effect of DNA mismatch repair (MMR) status on oxaliplatin-based first-line chemotherapy as in recurrent or metastatic colon cancer. Medical Oncology 27:4, 1277-1285
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    Angela Hyde, Daniel Fontaine, Susan Stuckless, Roger Green, Aaron Pollett, Michelle Simms, Payal Sipahimalani, Patrick Parfrey, Banfield Younghusband. (2010) A Histology-Based Model for Predicting Microsatellite Instability in Colorectal Cancers. The American Journal of Surgical Pathology 34:12, 1820-1829
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    Ermanno Nardon, Damjan Glavač, Jean Benhattar, Patricia J.T.A. Groenen, Gerald Höfler, Heinz Höfler, Andreas Jung, Gisela Keller, Thomas Kirchner, Francesca Lessi, Marjolijn J.L. Ligtenberg, Chiara Maria Mazzanti, Gerlinde Winter, Giorgio Stanta. (2010) A Multicenter Study to Validate the Reproducibility of MSI Testing With a Panel of 5 Quasimonomorphic Mononucleotide Repeats. Diagnostic Molecular Pathology 19:4, 236-242
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    M. Nielsen, L. N. van Steenbergen, N. Jones, S. Vogt, H. F. A. Vasen, H. Morreau, S. Aretz, J. R. Sampson, O. M. Dekkers, M. L. G. Janssen-Heijnen, F. J. Hes. (2010) Survival of MUTYH-Associated Polyposis Patients With Colorectal Cancer and Matched Control Colorectal Cancer Patients. JNCI Journal of the National Cancer Institute 102:22, 1724-1730
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    L. Lombardi, F. Morelli, S. Cinieri, D. Santini, N. Silvestris, N. Fazio, L. Orlando, G. Tonini, G. Colucci, E. Maiello. (2010) Adjuvant colon cancer chemotherapy: where we are and where we'll go. Cancer Treatment Reviews 36, S34-S41
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    Ji Won Park, Hee Jin Chang, Sohee Park, Byung Chang Kim, Dae Yong Kim, Ji-Yeon Baek, Sun Young Kim, Jae Hwan Oh, Hyo Seong Choi, Sung Chan Park, Seung-Yong Jeong. (2010) Absence of hMLH1 or hMSH2 Expression as a Stage-Dependent Prognostic Factor in Sporadic Colorectal Cancers. Annals of Surgical Oncology 17:11, 2839-2846
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    Byung Woog Kang, Jong Gwang Kim, Soo Jung Lee, Yee Soo Chae, Joon Ho Moon, Sang Kyun Sohn, Seong Woo Jeon, Min Kyu Jung, Kyoung-Hoon Lim, You Seok Jang, Jun Seok Park, Soo Han Jun, Gyu-Seog Choi. (2010) Clinical significance of microsatellite instability for stage II or III colorectal cancer following adjuvant therapy with doxifluridine. Medical Oncology
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    Steven A. Lee-Kong, Arnold J. Markowitz, Emily Glogowski, Christopher Papadopoulos, Zsofia Stadler, Martin R. Weiser, Larissa K. Temple, José G. Guillem. (2010) Prospective Immunohistochemical Analysis of Primary Colorectal Cancers for Loss of Mismatch Repair Protein Expression. Clinical Colorectal Cancer 9:4, 255-259
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    Cecilia Guastadisegni, Mauro Colafranceschi, Laura Ottini, Eugenia Dogliotti. (2010) Microsatellite instability as a marker of prognosis and response to therapy: A meta-analysis of colorectal cancer survival data. European Journal of Cancer 46:15, 2788-2798
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    Seung Tae Kim, Jeeyun Lee, Se Hoon Park, Joon Oh Park, Ho Yeong Lim, Won Ki Kang, Jin Yong Kim, Young Ho Kim, Dong Kyung Chang, Poong-Lyul Rhee, Dae Shick Kim, Haeran Yun, Yong Beom Cho, Hee Cheol Kim, Seong Hyeon Yun, Woo Yong Lee, Ho-Kyung Chun, Young Suk Park. (2010) Clinical impact of microsatellite instability in colon cancer following adjuvant FOLFOX therapy. Cancer Chemotherapy and Pharmacology 66:4, 659-667
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    Yaron Niv, Alex Vilkin, Baruch Brenner, Yulia Kendel, Sara Morgenstern, Zohar Levi. (2010) hMLH1 promoter methylation and JC virus T antigen presence in the tumor tissue of colorectal cancer Israeli patients of different ethnic groups. European Journal of Gastroenterology & Hepatology 22:8, 938-941
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    Katarina Öhrling, David Edler, Marja Hallström, Peter Ragnhammar. (2010) Mismatch repair protein expression is an independent prognostic factor in sporadic colorectal cancer. Acta Oncologica 49:6, 797-804
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    Jonathan S.L. Earle, Rajyalakshmi Luthra, Angela Romans, Ronald Abraham, Joe Ensor, Hui Yao, Stanley R. Hamilton. (2010) Association of MicroRNA Expression with Microsatellite Instability Status in Colorectal Adenocarcinoma. The Journal of Molecular Diagnostics 12:4, 433-440
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    Z Saridaki, D Papadatos-Pastos, M Tzardi, D Mavroudis, E Bairaktari, H Arvanity, E Stathopoulos, V Georgoulias, J Souglakos. (2010) BRAF mutations, microsatellite instability status and cyclin D1 expression predict metastatic colorectal patients’ outcome. British Journal of Cancer 102:12, 1762-1768
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    E. Van Cutsem, M. Dicato, N. Arber, J. Berlin, A. Cervantes, F. Ciardiello, A. De Gramont, E. Diaz-Rubio, M. Ducreux, R. Geva, B. Glimelius, R. G. Jones, A. Grothey, T. Gruenberger, D. Haller, K. Haustermans, R. Labianca, H. J. Lenz, B. Minsky, B. Nordlinger, A. Ohtsu, N. Pavlidis, P. Rougier, W. Schmiegel, C. Van de Velde, H. J. Schmoll, A. Sobrero, J. Tabernero. (2010) Molecular markers and biological targeted therapies in metastatic colorectal cancer: expert opinion and recommendations derived from the 11th ESMO/World Congress on Gastrointestinal Cancer, Barcelona, 2009. Annals of Oncology 21:Supplement 6, vi1-vi10
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    Hanifa Bouzourene, Pierre Hutter, Lorena Losi, Patricia Martin, Jean Benhattar. (2010) Selection of patients with germline MLH1 mutated Lynch syndrome by determination of MLH1 methylation and BRAF mutation. Familial Cancer 9:2, 167-172
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    Wilfredo E. De Jesus-Monge, Carmen Gonzalez-Keelan, Ronghua Zhao, Stanley R. Hamilton, Miguel Rodriguez-Bigas, Marcia Cruz-Correa. (2010) Mismatch repair protein expression and colorectal cancer in Hispanics from Puerto Rico. Familial Cancer 9:2, 155-166
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    Christine J. Ko. (2010) Muir-Torre syndrome: Facts and controversies. Clinics in Dermatology 28:3, 324-329
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    Helen J. Mackay, Steven Gallinger, Ming S. Tsao, C. Meg McLachlin, Dongsheng Tu, Katharina Keiser, Elizabeth A. Eisenhauer, Amit M. Oza. (2010) Prognostic value of microsatellite instability (MSI) and PTEN expression in women with endometrial cancer: Results from studies of the NCIC Clinical Trials Group (NCIC CTG). European Journal of Cancer 46:8, 1365-1373
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    Ruth Román, Montse Verdú, Miquel Calvo, August Vidal, Xavier Sanjuan, Mireya Jimeno, Antonio Salas, Josefina Autonell, Isabel Trias, Marta González, Beatriz García, Natalia Rodón, Xavier Puig. (2010) Microsatellite instability of the colorectal carcinoma can be predicted in the conventional pathologic examination. A prospective multicentric study and the statistical analysis of 615 cases consolidate our previously proposed logistic regression model. Virchows Archiv 456:5, 533-541
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    Evangelos Athanassiou, Dimitra N. Vamvakopoulou, Dimitrios Zacharoulis, George Paroutoglou, Despina Sioutopoulou, Konstantinos Tepetes, Iakovos Nomikos, Nicholas C. Vamvakopoulos. (2010) Immunophenotypic Evaluation of DNA Mismatch Repair Markers in 2 Cases of Synchronous Histomorphologically Distinct Gastric Adenocarcinomas With Gastrointestinal Stromal Tumors of the Proximal Small Bowel. Applied Immunohistochemistry & Molecular Morphology 18:3, 288-290
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    Mustafa A Arain, Mandeep Sawhney, Shehla Sheikh, Ruth Anway, Bharat Thyagarajan, John H Bond, Aasma Shaukat. (2010) CIMP Status of Interval Colon Cancers: Another Piece to the Puzzle. The American Journal of Gastroenterology 105:5, 1189-1195
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    Shih-Ching Chang, Pei-Ching Lin, Shung-Haur Yang, Huann-Sheng Wang, Wen-Yih Liang, Jen-Kou Lin. (2010) Taiwan hospital-based detection of Lynch syndrome distinguishes 2 types of microsatellite instabilities in colorectal cancers. Surgery 147:5, 720-728
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    C K Kontos, I N Papadopoulos, E G Fragoulis, A Scorilas. (2010) Quantitative expression analysis and prognostic significance of L-DOPA decarboxylase in colorectal adenocarcinoma. British Journal of Cancer 102:9, 1384-1390
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    A. Zaanan, P. Cuilliere-Dartigues, A. Guilloux, Y. Parc, C. Louvet, A. de Gramont, E. Tiret, S. Dumont, B. Gayet, P. Validire, J.-F. Flejou, A. Duval, F. Praz. (2010) Impact of p53 expression and microsatellite instability on stage III colon cancer disease-free survival in patients treated by 5-fluorouracil and leucovorin with or without oxaliplatin. Annals of Oncology 21:4, 772-780
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    Ewa Langner, Karolina Przybylowska, Radzislaw Trzcinski, Michal Mik, Przemyslaw Galbfach, Beata Smolarz, Hanna Romanowicz-Makowska, Janusz Smigileski, Andrzej Kulig, Adam Dziki. (2010) Loss of hMSH2 gene expression correlates with improved survival in patients with sporadic colorectal cancer. Journal of Genetics 89:1, 101-104
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    P. T. Campbell, E. T. Jacobs, C. M. Ulrich, J. C. Figueiredo, J. N. Poynter, J. R. McLaughlin, R. W. Haile, E. J. Jacobs, P. A. Newcomb, J. D. Potter, L. Le Marchand, R. C. Green, P. Parfrey, H. B. Younghusband, M. Cotterchio, S. Gallinger, M. A. Jenkins, J. L. Hopper, J. A. Baron, S. N. Thibodeau, N. M. Lindor, P. J. Limburg, M. E. Martinez, . (2010) Case-Control Study of Overweight, Obesity, and Colorectal Cancer Risk, Overall and by Tumor Microsatellite Instability Status. JNCI Journal of the National Cancer Institute 102:6, 391-400
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    Eduardo Vilar, Stephen B. Gruber. (2010) Microsatellite instability in colorectal cancer—the stable evidence. Nature Reviews Clinical Oncology 7:3, 153-162
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    Yaolin Zhou, Lisa A. Boardman, Robert C. Miller. (2010) Genetic testing for young-onset colorectal cancer: case report and evidence-based clinical guidelines. Radiology and Oncology 44:1, 57-61
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    Garrett M. Nash, Mark Gimbel, Jinru Shia, Daniel R. Nathanson, MacKevin I. Ndubuisi, Zhao-Shi Zeng, Nancy Kemeny, Philip B. Paty. (2010) KRAS Mutation Correlates With Accelerated Metastatic Progression in Patients With Colorectal Liver Metastases. Annals of Surgical Oncology 17:2, 572-578
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    Kiran Turaga, David Shibata. (2010) K-Ras and MSI: Potential Markers of Both Patient Prognosis and Treatment Efficacy. Annals of Surgical Oncology 17:2, 354-355
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    George Poulogiannis, Koichi Ichimura, Rifat A Hamoudi, Feijun Luo, Suet Y Leung, Siu T Yuen, David J Harrison, Andrew H Wyllie, Mark J Arends. (2010) Prognostic relevance of DNA copy number changes in colorectal cancer. The Journal of Pathology 220:3, 338-347
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    Garrett M. Nash, Mark Gimbel, Alfred M. Cohen, Zhao-Shi Zeng, Mackevin I. Ndubuisi, Daniel R. Nathanson, Jurg Ott, Francis Barany, Philip B. Paty. (2010) KRAS Mutation and Microsatellite Instability: Two Genetic Markers of Early Tumor Development That Influence the Prognosis of Colorectal Cancer. Annals of Surgical Oncology 17:2, 416-424
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    J.G. Tralhão, E. Hoti, M. Serôdio, P. Laranjeiro, A. Paiva, A.M. Abrantes, M.L. Pais, M.F. Botelho, F. Castro Sousa. (2010) Perioperative tumor cell dissemination in patients with primary or metastatic colorectal cancer. European Journal of Surgical Oncology (EJSO) 36:2, 125-129
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    R L Rego, N R Foster, T C Smyrk, M Le, M J O'Connell, D J Sargent, H Windschitl, F A Sinicrope. (2010) Prognostic effect of activated EGFR expression in human colon carcinomas: comparison with EGFR status. British Journal of Cancer 102:1, 165-172
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    M J Overman, J Pozadzides, S Kopetz, S Wen, J L Abbruzzese, R A Wolff, H Wang. (2010) Immunophenotype and molecular characterisation of adenocarcinoma of the small intestine. British Journal of Cancer 102:1, 144-150
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    George Poulogiannis, Ian M Frayling, Mark J Arends. (2010) DNA mismatch repair deficiency in sporadic colorectal cancer and Lynch syndrome. Histopathology 56:2, 167-179
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    Ok Joo Paek, Seung Yeop Oh, Young Bae Kim, Kwang Wook Suh. (2010) Microsatellite Instability-low Colorectal Carcinomas: Are They Comparable with Microsatellite Stable Cancer?. Journal of the Korean Society of Coloproctology 26:2, 145
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    Yasushi Yamasaki, Masashi Matsushima, Hisae Tanaka, Sakurako Tajiri, Ryuki Fukuda, Hideki Ozawa, Atsushi Takagi, Ken-ichi Hirabayashi, Sohtaro Sadahiro. (2010) Patient with Eight Metachronous Gastrointestinal Cancers Thought to be Hereditary Nonpolyposis Colorectal Cancer (HNPCC). Internal Medicine 49:3, 209-213
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    Margot G.F. Van Lier, Anja Wagner, Monique E. Van Leerdam, Katharina Biermann, Ernst J. Kuipers, Ewout W. Steyerberg, Hendrikus Jan Dubbink, Winand N.M. Dinjens. (2010) A review on the molecular diagnostics of Lynch syndrome: a central role for the pathology laboratory. Journal of Cellular and Molecular Medicine 14:1-2, 181-197
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    Jenn Hian Koo, Rupert WL Leong. (2010) Sex differences in epidemiological, clinical and pathological characteristics of colorectal cancer. Journal of Gastroenterology and Hepatology 25:1, 33-42
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    S. M. Woerner, Y. P. Yuan, A. Benner, S. Korff, M. von Knebel Doeberitz, P. Bork. (2010) SelTarbase, a database of human mononucleotide-microsatellite mutations and their potential impact to tumorigenesis and immunology. Nucleic Acids Research 38:Database, D682-D689
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    Marc Van den Eynde, Ahmad Awada, Alain Hendlisz. (2010) Is Tailored Adjuvant Treatment for Colon Cancer Possible?. Clinical Colorectal Cancer 9:1, 15-21
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    Daniel M. Frey, Raoul A. Droeser, Carsten T. Viehl, Inti Zlobec, Alessandro Lugli, Urs Zingg, Daniel Oertli, Christoph Kettelhack, Luigi Terracciano, Luigi Tornillo. (2010) High frequency of tumor-infiltrating FOXP3 + regulatory T cells predicts improved survival in mismatch repair-proficient colorectal cancer patients. International Journal of CancerNA-NA
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    Chia-Lin Chou, Jen-Kou Lin, Huann-Sheng Wang, Shung-Haur Yang, Anna Fen-Yau Li, Shin-Ching Chang. (2010) Microsatellite instability screening should be done for right-sided colon cancer patients less than 60 years of age. International Journal of Colorectal Disease 25:1, 47-52
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    Sinara M. O. Leite, Karina B. Gomes, Victor C. Pardini, Alessandro C. S. Ferreira, Vanessa C. Oliveira, Geraldo M. G. Cruz. (2010) Assessment of microsatellite instability in colorectal cancer patients from Brazil. Molecular Biology Reports 37:1, 375-380
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    Helgi Birgisson, Arezo Ghanipour, Kennet Smedh, Lars Påhlman, Bengt Glimelius. (2009) The correlation between a family history of colorectal cancer and survival of patients with colorectal cancer. Familial Cancer 8:4, 555-561
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    Ping-Sheng Kao, Jen-Kou Lin, Huann-Sheng Wang, Shung-Haur Yang, Jeng-Kai Jiang, Wei-Shone Chen, Tzu-Chen Lin, Anna Fen-Yau Li, Wen-Yi Liang, Shih-Ching Chang. (2009) The impact of family history on the outcome of patients with colorectal cancer in a veterans’ hospital. International Journal of Colorectal Disease 24:11, 1249-1254
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    Barbara A. Leggett, Daniel L. Worthley. (2009) Synchronous Colorectal Cancer: Not Just Bad Luck?. Gastroenterology 137:5, 1559-1562
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    David Tougeron, Emilie Fauquembergue, Alexandre Rouquette, Florence Le Pessot, Richard Sesboüé, Michèle Laurent, Pascaline Berthet, Jacques Mauillon, Frédéric Di Fiore, Jean-Christophe Sabourin, Pierre Michel, Mario Tosi, Thierry Frébourg, Jean-Baptiste Latouche. (2009) Tumor-infiltrating lymphocytes in colorectal cancers with microsatellite instability are correlated with the number and spectrum of frameshift mutations. Modern Pathology 22:9, 1186-1195
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    Michael D. Walsh, Owen F. Dent, Joanne P. Young, Caroline M. Wright, Melissa A. Barker, Barbara A. Leggett, Les Bokey, Pierre H. Chapuis, Jeremy R. Jass, Graeme A. Macdonald. (2009) HLA-DR expression is associated with better prognosis in sporadic Australian clinicopathological Stage C colorectal cancers. International Journal of Cancer 125:5, 1231-1237
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    Kimberly W. Sanford, Richard A. McPherson. (2009) Fecal Occult Blood Testing. Clinics in Laboratory Medicine 29:3, 523-541
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