Review of biomarkers in colorectal cancer

Blood-based biomarkers for diagnosis, prognosis and treatment of colorectal cancer

The global burden of colorectal cancer (CRC)-associated morbidity and mortality is increasing, in part due to a lack of early detection. Direct structural examination techniques, such as colonoscopy, are invasive and can therefore affect the willingness of patients to participate in screening. Recently, the use of "liquid biopsy" has gained considerable attention as a novel source of biomarkers. Blood-based biomarkers could prove to be practical tools for CRC detection, as the monitoring of biomarkers in biological fluids offers many advantages, including minimal invasiveness and easy accessibility. Biomarkers with high specificity and sensitivity can enable the detection of CRC at an early stage, thereby improving prognosis, prediction of treatment response, and recurrence risk. In this review, we summarize that the biomarkers currently thought to have potential for the early detection and monitoring of CRC, including circulating tumor cells, DNA, RNA and proteins.

Blood CEA levels for detecting recurrent colorectal cancer

BACKGROUND

Testing for carcino-embryonic antigen (CEA) in the blood is a recommended part of follow-up to detect recurrence of colorectal cancer following primary curative treatment. There is substantial clinical variation in the cut-off level applied to trigger further investigation.

OBJECTIVES

To determine the diagnostic performance of different blood CEA levels in identifying people with colorectal cancer recurrence in order to inform clinical practice.

SEARCH METHODS

We conducted all searches to January 29 2014. We applied no language limits to the searches, and translated non-English manuscripts. We searched for relevant reviews in the MEDLINE, EMBASE, MEDION and DARE databases. We searched for primary studies (including conference abstracts) in the Cochrane Central Register of Controlled Trials (CENTRAL), in MEDLINE, EMBASE, and the Science Citation Index & Conference Proceedings Citation Index - Science. We identified ongoing studies by searching WHO ICTRP and the ASCO meeting library.

SELECTION CRITERIA

We included cross-sectional diagnostic test accuracy studies, cohort studies, and randomised controlled trials (RCTs) of post-resection colorectal cancer follow-up that compared CEA to a reference standard. We included studies only if we could extract 2 x 2 accuracy data. We excluded case-control studies, as the ratio of cases to controls is determined by the study design, making the data unsuitable for assessing test accuracy.

DATA COLLECTION AND ANALYSIS

Two review authors (BDN, IP) assessed the quality of all articles independently, discussing any disagreements. Where we could not reach consensus, a third author (BS) acted as moderator. We assessed methodological quality against QUADAS-2 criteria. We extracted binary diagnostic accuracy data from all included studies as 2 x 2 tables. We conducted a bivariate meta-analysis. We used the xtmelogit command in Stata to produce the pooled estimates of sensitivity and specificity and we also produced hierarchical summary ROC plots.

MAIN RESULTS

In the 52 included studies, sensitivity ranged from 41% to 97% and specificity from 52% to 100%. In the seven studies reporting the impact of applying a threshold of 2.5 µg/L, pooled sensitivity was 82% (95% confidence interval (CI) 78% to 86%) and pooled specificity 80% (95% CI 59% to 92%). In the 23 studies reporting the impact of applying a threshold of 5 µg/L, pooled sensitivity was 71% (95% CI 64% to 76%) and pooled specificity 88% (95% CI 84% to 92%). In the seven studies reporting the impact of applying a threshold of 10 µg/L, pooled sensitivity was 68% (95% CI 53% to 79%) and pooled specificity 97% (95% CI 90% to 99%).

AUTHORS' CONCLUSIONS

CEA is insufficiently sensitive to be used alone, even with a low threshold. It is therefore essential to augment CEA monitoring with another diagnostic modality in order to avoid missed cases. Trying to improve sensitivity by adopting a low threshold is a poor strategy because of the high numbers of false alarms generated. We therefore recommend monitoring for colorectal cancer recurrence with more than one diagnostic modality but applying the highest CEA cut-off assessed (10 µg/L).

Review of the development of DNA methylation as a marker of response to neoadjuvant therapy and outcomes in rectal cancer

There is much debate around the preoperative treatment of colorectal cancer and, in particular, neoadjuvant chemoradiotherapy in locally advanced rectal cancer. This treatment carries a significant risk of harmful side effects and has a highly variable response rate. Predictive biomarkers have been the subject of a great deal of study with the aim of pretreatment risk stratification in order to more accurately determine which patients will derive the most benefit and least harm from these treatments. The study of epigenetics in colorectal cancer is relatively recent, and distinct patterns of aberrant DNA methylation, in particular the cytosine-phosphate-guanine (CpG) island methylator phenotype (CIMP), have been demonstrated in colorectal cancer, and their characterisation and significance are under debate, particularly in rectal cancer. These patterns of DNA methylation have been associated with differences in response to therapy and treatment outcomes and therefore have the potential to be used as biomarkers in tailored therapy regimes for patients with rectal cancer. This review aims to summarise the current state of the art in rectal cancer, with particular regard to the determination of DNA methylation patterns, the CpG island methylator phenotype and its potential as a novel biomarker in rectal cancer treatment and prediction of outcomes and response after neoadjuvant chemoradiotherapy.

A novel mixed integer programming for multi-biomarker panel identification by distinguishing malignant from benign colorectal tumors

Multi-biomarker panels can capture the nonlinear synergy among biomarkers and they are important to aid in the early diagnosis and ultimately battle complex diseases. However, identification of these multi-biomarker panels from case and control data is challenging. For example, the exhaustive search method is computationally infeasible when the data dimension is high. Here, we propose a novel method, MILP_k, to identify serum-based multi-biomarker panel to distinguish colorectal cancers (CRC) from benign colorectal tumors. Specifically, the multi-biomarker panel detection problem is modeled by a mixed integer programming to maximize the classification accuracy. Then we measured the serum profiling data for 101 CRC patients and 95 benign patients. The 61 biomarkers were analyzed individually and further their combinations by our method. We discovered 4 biomarkers as the optimal small multi-biomarker panel, including known CRC biomarkers CEA and IL-10 as well as novel biomarkers IMA and NSE. This multi-biomarker panel obtains leave-one-out cross-validation (LOOCV) accuracy to 0.7857 by nearest centroid classifier. An independent test of this panel by support vector machine (SVM) with threefold cross validation gets an AUC 0.8438. This greatly improves the predictive accuracy by 20% over the single best biomarker. Further extension of this 4-biomarker panel to a larger 13-biomarker panel improves the LOOCV to 0.8673 with independent AUC 0.8437. Comparison with the exhaustive search method shows that our method dramatically reduces the searching time by 1000-fold. Experiments on the early cancer stage samples reveal two panel of biomarkers and show promising accuracy. The proposed method allows us to select the subset of biomarkers with best accuracy to distinguish case and control samples given the number of selected biomarkers. Both receiver operating characteristic curve and precision-recall curve show our method's consistent performance gain in accuracy. Our method also shows its advantage in capturing synergy among selected biomarkers. The multi-biomarker panel far outperforms the simple combination of best single features. Close investigation of the multi-biomarker panel illustrates that our method possesses the ability to remove redundancy and reveals complementary biomarker combinations. In addition, our method is efficient and can select multi-biomarker panel with more than 5 biomarkers, for which the exhaustive methods fail. In conclusion, we propose a promising model to improve the clinical data interpretability and to serve as a useful tool for other complex disease studies. Our small multi-biomarker panel, CEA, IL-10, IMA, and NSE, may provide insights on the disease status of colorectal diseases. The implementation of our method in MATLAB is available via the website: http://doc.aporc.org/wiki/MILP_k.

Surgery in the era of the 'omics revolution

Background

Surgery is entering a new phase with the revolution in genomic technology. Cheap, mass access to next‐generation sequencing is now allowing the analysis of entire human genomes at the DNA and RNA level. These data sets are being used increasingly to identify the molecular differences that underlie common surgical diseases, and enable them to be stratified for patient benefit.

Methods

This article reviews the recent developments in the molecular biology of colorectal, oesophagogastric and breast cancer.

Results

The review specifically covers developments in genetic predisposition, next‐generation sequencing studies, biomarkers for stratification, prognosis and treatment, and other 'omics technologies such as metabolomics and proteomics.

Conclusion

There are unique opportunities over the next decade to change the management of surgical disease radically, using these technologies. The directions that this may take are highlighted, including future advances such as the 100 000 Genomes Project.

May individualize cancer treatment

Preoperative Leukocytosis in Colorectal Cancer Patients

BACKGROUND

Preoperative asymptomatic leukocytosis has been reported as a factor that affects morbidity of surgical patients. We sought to identify the relationship between asymptomatic preoperative leukocytosis and postoperative complications in elective colorectal cancer surgery.

STUDY DESIGN

The NSQIP database was used to examine the clinical data of patients who had preoperative leukocytosis (white blood cell count more than 11,000/μL) and colorectal cancer resection from 2005 to 2013. Patients with preoperative sepsis, recent steroid use, disseminated cancer, renal failure, pneumonia, and emergently admitted patients were excluded from the study. Multivariate regression analysis was performed to identify outcomes of preoperative leukocytosis.

RESULTS

We evaluated a total of 59,805 patients with a diagnosis of colorectal cancer who underwent colorectal resection. The rate of preoperative asymptomatic leukocytosis was 5.6%. Asymptomatic leukocytosis was associated with preoperative serum albumin level (adjusted odds ratio [AOR] 0.58, p < 0.01) and blood urea nitrogen/creatinine ratio (AOR 1.01, p < 0.01). Preoperative asymptomatic leukocytosis had significant associations with increased mortality (AOR 1.76, p < 0.01) and morbidity of patients (AOR 1.26, p < 0.01). Postsurgical complications that had the strongest associations with asymptomatic leukocytosis were cardiac arrest (AOR 1.78, p = 0.03) and unplanned intubation (AOR 1.61, p < 0.01). Also, infectious complications were significantly higher in patients with leukocytosis (AOR 1.18, p = 0.01).

CONCLUSIONS

Preoperative asymptomatic leukocytosis has a prevalence of 5.6% in colorectal cancer resections and carries a significant increased risk of mortality and morbidity. Asymptomatic leukocytosis is associated with preoperative dehydration and malnutrition. Further studies are indicated to validate and explain these findings.

Development and validation of a high-performance liquid chromatography-tandem mass spectrometry method for the simultaneous determination of irinotecan and its main metabolites in human plasma and its application in a clinical pharmacokinetic study

Irinotecan is currently used in several cancer regimens mainly in colorectal cancer (CRC). This drug has a narrow therapeutic range and treatment can lead to side effects, mainly neutropenia and diarrhea, frequently requiring discontinuing or lowering the drug dose. A wide inter-individual variability in irinotecan pharmacokinetic parameters and pharmacodynamics has been reported and associated to patients’ genetic background. In particular, a polymorphism in the UGT1A1 gene (UGT1A1*28) has been linked to an impaired detoxification of SN-38 (irinotecan active metabolite) to SN-38 glucuronide (SN-38G) leading to increased toxicities. Therefore, therapeutic drug monitoring of irinotecan, SN-38 and SN-38G is recommended to personalize therapy. In order to quantify simultaneously irinotecan and its main metabolites in patients’ plasma, we developed and validated a new, sensitive and specific HPLC–MS/MS method applicable to all irinotecan dosages used in clinic. This method required a small plasma volume, addition of camptothecin as internal standard and simple protein precipitation. Chromatographic separation was done on a Gemini C18 column (3 μM, 100 mm x 2.0 mm) using 0.1% acetic acid/bidistilled water and 0.1% acetic acid/acetonitrile as mobile phases. The mass spectrometer worked with electrospray ionization in positive ion mode and selected reaction monitoring. The standard curves were linear (R² ≥0.9962) over the concentration ranges (10–10000 ng/mL for irinotecan, 1–500 ng/mL for SN-38 and SN-38G and 1–5000 ng/mL for APC) and had good back-calculated accuracy and precision. The intra- and inter-day precision and accuracy, determined on three quality control levels for all the analytes, were always <12.3% and between 89.4% and 113.0%, respectively. Moreover, we evaluated this bioanalytical method by re-analysis of incurred samples as an additional measure of assay reproducibility. This method was successfully applied to a pharmacokinetic study in metastatic CRC patients enrolled in a genotype-guided phase Ib study of irinotecan administered in combination with 5-fluorouracil/leucovorin and bevacizumab.

Elevated levels of 14-3-3 proteins, serotonin, gamma enolase and pyruvate kinase identified in clinical samples from patients diagnosed with colorectal cancer

BACKGROUND

Colorectal cancer (CRC), a heterogeneous disease that is common in both men and women, continues to be one of the predominant cancers worldwide. Lifestyle, diet, environmental factors and gene defects all contribute towards CRC development risk. Therefore, the identification of novel biomarkers to aid in the management of CRC is crucial. The aim of the present study was to identify candidate biomarkers for CRC, and to develop a better understanding of their role in tumourogenesis.

METHODS

In this study, both plasma and tissue samples from patients diagnosed with CRC, together with non-malignant and normal controls were examined using mass spectrometry based proteomics and metabolomics approaches.

RESULTS

It was established that the level of several biomolecules, including serotonin, gamma enolase, pyruvate kinase and members of the 14-3-3 family of proteins, showed statistically significant changes when comparing malignant versus non-malignant patient samples, with a distinct pattern emerging mirroring cancer cell energy production.

CONCLUSION

The diagnosis and management of CRC could be enhanced by the discovery and validation of new candidate biomarkers, as found in this study, aimed at facilitating early detection and/or patient stratification together with providing information on the complex behaviour of cancer cells.

Plasma methylated septin 9: a colorectal cancer screening marker

Colorectal cancer (CRC) is a slow-developing cancer (10-15 years) with one of the highest frequencies in the world's population. Many countries have implemented various CRC screening programs, but have not achieved the desired compliance. Colonoscopy - considered the gold standard for CRC screening - has its limitations as well as the other techniques used, such as irrigoscopy, sigmoidoscopy, fecal blood and hemoglobin tests. The biomarker septin 9 has been found to be hypermethylated in nearly 100% of tissue neoplasia specimens and detected in circulating DNA fractions of CRC patients. A commercially available assay for septin 9 has been developed with moderate sensitivity (∼70%) and specificity (∼90%) and a second generation assay, Epi proColon 2.0 (Epigenomics AG), shows increased sensitivity (∼92%). The performance of the assay proved to be independent of tumor site and reaches a high sensitivity of 77%, even in early cancer stages (I and II). Furthermore, septin 9 was recently used in follow-up studies for detection of early recurrence of CRC. This article evaluates the opportunities, known limitations and future perspectives of the recently introduced Epi proColon(®) 2.0 test, which is based on the detection of aberrantly methylated DNA of the v2 region of the septin 9 gene in plasma.

Discovery and validation of new potential biomarkers for early detection of colon cancer

BACKGROUND

Accurate detection of characteristic proteins secreted by colon cancer tumor cells in biological fluids could serve as a biomarker for the disease. The aim of the present study was to identify and validate new serum biomarkers and demonstrate their potential usefulness for early diagnosis of colon cancer.

METHODS

The study was organized in three sequential phases: 1) biomarker discovery, 2) technical and biological validation, and 3) proof of concept to test the potential clinical use of selected biomarkers. A prioritized subset of the differentially-expressed genes between tissue types (50 colon mucosa from cancer-free individuals and 100 normal-tumor pairs from colon cancer patients) was validated and further tested in a series of serum samples from 80 colon cancer cases, 23 patients with adenoma and 77 cancer-free controls.

RESULTS

In the discovery phase, 505 unique candidate biomarkers were identified, with highly significant results and high capacity to discriminate between the different tissue types. After a subsequent prioritization, all tested genes (N = 23) were successfully validated in tissue, and one of them, COL10A1, showed relevant differences in serum protein levels between controls, patients with adenoma (p = 0.0083) and colon cancer cases (p = 3.2e-6).

CONCLUSION

We present a sequential process for the identification and further validation of biomarkers for early detection of colon cancer that identifies COL10A1 protein levels in serum as a potential diagnostic candidate to detect both adenoma lesions and tumor.

IMPACT

The use of a cheap serum test for colon cancer screening should improve its participation rates and contribute to decrease the burden of this disease.

SALL4 as a new biomarker for early colorectal cancers

PURPOSE

Colorectal cancer (CRC) is one of the most common causes of cancer-related death worldwide, and there is an urgent need to identify critical diagnostic and prognostic factors for early detection of the disease. Our aim in this study was to elucidate absolute copy number of SALL4 mRNA in the peripheral blood and serum of CRC patients to evaluate its probable prognostic or diagnostic value for CRC.

METHODS

Peripheral mononuclear cells from 111 cases were examined using absolute quantitative real-time RT-PCR to assess the exact copy number of SALL4 and CEA mRNA. Receiver operator characteristic (ROC) curves were also depicted to detect the sensitivity and specificity of SALL4 mRNA.

RESULTS

The blood copy number of SALL4 in recruited CRC patients was significantly higher than healthy controls (p = 0.0001). This high copy number was not only inversely associated with the depth of tumor invasion (p = 0.045), but also was significantly correlated with the high grade of tumor differentiation (p = 0.029) and sex (p = 0.027). Furthermore, the copy number of SALL4 was elevated in all examined serum samples (p = 0.0001) in significant association with high grade of tumor differentiation (p = 0.026) and patients' age (p = 0.012). ROC analysis indicated 96.1 and 95% sensitivity and specificity of SALL4 for CRC screening, respectively.

CONCLUSION

Early detection of CRC is directly correlated to improved outcomes, increased survival rates and reduced mortality. Our results can introduce SALL4 as a critical biomarker for efficient screening of patients to detect early stages of CRC.

Integrated multidimensional analysis is required for accurate prognostic biomarkers in colorectal cancer

CRC cancer is one of the deadliest diseases in Western countries. In order to develop prognostic biomarkers for CRC (colorectal cancer) aggressiveness, we analyzed retrospectively 267 CRC patients via a novel, multidimensional biomarker platform. Using nanofluidic technology for qPCR analysis and quantitative fluorescent immunohistochemistry for protein analysis, we assessed 33 microRNAs, 124 mRNAs and 9 protein antigens. Analysis was conducted in each single dimension (microRNA, gene or protein) using both the multivariate Cox model and Kaplan-Meier method. Thereafter, we simplified the censored survival data into binary response data (aggressive vs. non aggressive cancer). Subsequently, we integrated the data into a diagnostic score using sliced inverse regression for sufficient dimension reduction. Accuracy was assessed using area under the receiver operating characteristic curve (AUC). Single dimension analysis led to the discovery of individual factors that were significant predictors of outcome. These included seven specific microRNAs, four genes, and one protein. When these factors were quantified individually as predictors of aggressive disease, the highest demonstrable area under the curve (AUC) was 0.68. By contrast, when all results from single dimensions were combined into integrated biomarkers, AUCs were dramatically increased with values approaching and even exceeding 0.9. Single dimension analysis generates statistically significant predictors, but their predictive strengths are suboptimal for clinical utility. A novel, multidimensional integrated approach overcomes these deficiencies. Newly derived integrated biomarkers have the potential to meaningfully guide the selection of therapeutic strategies for individual patients while elucidating molecular mechanisms driving disease progression.

Circulating tumor cells: exploring intratumor heterogeneity of colorectal cancer

The hypothesis of the "liquid biopsy" using circulating tumor cells (CTCs) emerged as a minimally invasive alternative to traditional tissue biopsy to determine cancer therapy. Discordance for biomarkers expression between primary tumor tissue and circulating tumor cells (CTCs) has been widely reported, thus rendering the biological characterization of CTCs an attractive tool for biomarkers assessment and treatment selection. Studies performed in metastatic colorectal cancer (mCRC) patients using CellSearch, the only FDA-cleared test for CTCs assessment, demonstrated a much lower yield of CTCs in this tumor type compared with breast and prostate cancer, both at baseline and during the course of treatment. Thus, although attractive, the possibility to use CTCs as therapy-related biomarker for colorectal cancer patients is still limited by a number of technical issues mainly due to the low sensitivity of the CellSearch method. In the present study we found a significant discordance between CellSearch and AdnaTest in the detection of CTCs from mCRC patients. We then investigated KRAS pathway activating mutations in CTCs and determined the degree of heterogeneity for KRAS oncogenic mutations between CTCs and tumor tissues. Whether KRAS gene amplification may represent an alternative pathway responsible for KRAS activation was further explored. KRAS gene amplification emerged as a functionally equivalent and mutually exclusive mechanism of KRAS pathway activation in CTCs, possibly related to transcriptional activation. The serial assessment of CTCs may represent an early biomarker of treatment response, able to overcome the intrinsic limit of current molecular biomarkers represented by intratumor heterogeneity.

Quantitative mass spectrometry for colorectal cancer proteomics

This review documents the uses of quantitative MS applied to colorectal cancer (CRC) proteomics for biomarker discovery and molecular pathway profiling. Investigators are adopting various labeling and label-free MS approaches to quantitate differential protein levels in cells, tumors, and plasma/serum. We comprehensively review recent uses of this technology to examine mouse models of CRC, CRC cell lines, their secretomes and subcellular fractions, CRC tumors, CRC patient plasma/serum, and stool samples. For biomarker discovery these approaches are uncovering proteins with potential diagnostic and prognostic utility, while in vitro cell culture experiments are characterizing proteomic and phosphoproteomic responses to disrupted signaling pathways due to mutations or to inhibition of drugable enzymes.

Proteomic approaches in biomarker discovery: new perspectives in cancer diagnostics

Despite remarkable progress in proteomic methods, including improved detection limits and sensitivity, these methods have not yet been established in routine clinical practice. The main limitations, which prevent their integration into clinics, are high cost of equipment, the need for highly trained personnel, and last, but not least, the establishment of reliable and accurate protein biomarkers or panels of protein biomarkers for detection of neoplasms. Furthermore, the complexity and heterogeneity of most solid tumours present obstacles in the discovery of specific protein signatures, which could be used for early detection of cancers, for prediction of disease outcome, and for determining the response to specific therapies. However, cancer proteome, as the end-point of pathological processes that underlie cancer development and progression, could represent an important source for the discovery of new biomarkers and molecular targets for tailored therapies.

The prognostic significance of APC gene mutation and miR-21 expression in advanced-stage colorectal cancer

AIM

Colorectal cancer (CRC) is the second commonest cause of cancer death in Taiwan. Although numerous genes have been associated with tumorigenesis in colorectal cancer, only a few have been validated and used as biomarkers for predicting clinical outcome. The aim of this study was to analyse the association of APC gene mutation and miR-21 expression with clinical outcome in CRC patients.

METHOD

In total, 195 colorectal cancer patients were enrolled in a single medical centre between 2003 and 2007. APC gene mutation and expression of APC and miR-21 were analysed by direct DNA sequencing and real-time reverse transcription polymerase chain reaction. The primary outcome included 5-year overall survival and univariate (Kaplan-Meier) and multivariate (Cox regression) analyses of prognostic factors.

RESULTS

The results showed that 66 (33.8%) of 195 tumour tissues contained an APC mutation. The predominant APC gene variations were deletion mutations (50.0%). APC gene expression was low in CRC and negatively correlated with miR-21 expression and gene mutation. In advanced-stage cancer, patients with APC mutation/high miR-21 had poorer overall survival rates than those with APC mutation/low miR-21, APC wild-type/high miR-21 and APC wild-type/low miR-21.

CONCLUSION

In Taiwan, downregulation of the APC gene in CRC correlated with gene mutation and miR-21 upregulation. APC mutation and miR-21 expression could be used to predict the clinical outcome of CRC, especially in patients with advanced disease.

Opposite variation tendencies of serum CA724 levels in patients with colon and rectal carcinoma

The aim of this study was to investigate tumor biomarker carbohydrate antigen 724 (CA724) in the serum of patients with carcinomas of the colon and rectum at various clinical stages. Serum was collected from 51 patients with colon carcinoma (CC) and 49 patients with rectal carcinoma (RC). CA724 levels were then measured in the different groups according to site, TNM classification, gender, age and metastastic status of the patients. The statistical significance of the differences between the groups was calculated by non-parametric statistics (Mann-Whitney and Kruskall-Wallis tests). We observed a close association between the serum CA724 levels and tumor migration in colorectal carcinoma (CRC) and opposite variation tendencies of CA724 in the evolution of CC and RC. In conclusion, we identified a close association between the serum levels of CA724 and tumor migration in CRC. The opposite variation tendencies of CA724 in the different evolution groups of CC and RC may reflect the differences between these two types of cancer. The evaluation of serum CA724 may be of monitoring and and predictive value and may also assist in the development of treatment strategies for CRC patients.

miRNAs as colorectal cancer biomarkers: current progress and future challenges

SUMMARY Colorectal cancer is a common pathology, accounting for approximately 8% of cancer deaths. The induction of a metastatic cascade heralds a potentially devastating end point with limited curative therapeutic options and early detection is, therefore, crucial. Novel diagnostic and predictive biomarkers are urgently required as current candidates lack sensitivity and specificity, particularly in the context of early disease. miRNAs are a group of short noncoding RNAs which regulate gene expression at a post-transcriptional level and have recently been shown to hold promise as fecal, circulating or tissue biomarkers. This review explores current progress and future challenges in this rapidly expanding field.

The relationship between genetic profiling, clinicopathological factors and survival in patients undergoing surgery for node-negative colorectal cancer: 10-year follow-up

PURPOSE

The introduction of the bowel cancer screening programme has resulted in increasing numbers of patients being diagnosed with node-negative disease. Unfortunately, approximately 30 % will develop recurrence following surgery. Given the toxicity associated with adjuvant chemotherapy, it is important to identify high-risk patients who may benefit from adjuvant therapy. This study aims to identify which clinicopathological factors and genetic profiling markers predict outcome in node-negative disease.

METHODS

Forty-nine microsatellite stable (MSS) patients undergoing curative resection between 1991 and 1993 were included. Local immune response was assessed by Klintrup criteria and vascular invasion status assessed through Miller's elastin staining. Comparative genomic hybridisation (CGH) on a range of loci provided data on allelic imbalance. Analysis of survival included clinicopathological and CGH data in a multivariate (Cox) model.

RESULTS

On binary logistical regression analysis, 4p deletion was independently associated with low Klintrup score (HR 0.16; 95 % CI (0.03-0.96); P = 0.045), venous invasion (HR 4.19; 95 % CI (1.08-16.29); P = 0.039) and higher Dukes' stage (HR 6.43; 95 % CI (1.22-33.97); P = 0.028). Minimum follow-up was 109 months and there were 24 cancer deaths. On multivariate analysis, high Klintrup score (HR 0.33; 95 % CI (0.12-0.93); P = 0.036), 4p- (HR 4.01; 95 % CI (1.58-10.21); P = 0.004) and 5q- (HR 3.81; 95 % CI (1.54-9.47); P = 0.004) were significantly associated with survival.

CONCLUSION

4p-, 5q- and low Klintrup score were independently associated with poor cancer-specific survival in node-negative MSS colorectal cancer. Confirmatory work in a larger cohort is needed to determine whether these markers may be used to identify patients who may benefit from adjuvant chemotherapy.

Combined preoperative CEA and CD44v6 improves prognostic value in patients with stage I and stage II colorectal cancer

AIM

Combination of biomarkers may improve diagnosis and have better prognostic value than single markers. The purpose of this study was to investigate whether combined CEA and CD44v6 improves prognostic value in stage I and stage II (stage I/II) colorectal cancer (CRC).

METHODS

Preoperative serum CEA level and the expression of CD44v6 in CRC tissues were examined by electrochemiluminescence immunoassay and immunohistochemistry, respectively. The association of CEA and CD44v6 with clinicopathological features and their possible prognostic values was analyzed.

RESULTS

The preoperative elevated serum CEA level and positive CD44v6 expression were detected in 30.1 % (52/173) serum samples and 60.5 % (101/167) CRC tissues, respectively. Patients with an elevated-CEA level or a CD44v6-negative tumor had a worse disease-specific survival (DSS) than those with a normal-CEA level or CD44v6-positive tumor (P = 0.024, P = 0.012, respectively). Moreover, CD44v6 expression could be used in discriminating patients from good to poor prognosis in normal-CEA subgroup (P = 0.043), but not in elevated-CEA subgroup (P = 0.563). Multivariate analysis revealed that combined CEA and CD44v6 was an independent prognostic factor for patients with stage I/II CRC (P = 0.023). However, serum CEA level only retained a borderline significance for correlation with a worse DSS (P = 0.059), and CD44v6 expression alone was not an independent prognostic factor for DSS in multivariate analysis (P = 0.123).

CONCLUSION

These results suggested that combined CEA/CD44v6 had better prognostic value than CEA or CD44v6 alone for patients with stage I/II CRC.

The proto-oncogene KRAS and BRAF profiles and some clinical characteristics in colorectal cancer in the Turkish population

OBJECTIVES

The aim of the current study was to investigate the prevalence and predictive significance of the KRAS and BRAF mutations in Turkish patients with colorectal cancer (CRC).

METHODS

Totally, 53 fresh tumoral tissue specimens were investigated in patients with CRC. All specimens were obtained during routine surgery of patients who were histopathologically diagnosed and genotyped for common KRAS and BRAF point mutations. After DNA extraction, the target mutations were analyzed using the AutoGenomics INFINITI(®) assay, and some samples were confirmed by quantitative real-time polymerase chain reaction fluorescence melting curve analyses.

RESULTS

KRAS mutations were found in 26 (49.05%) CRC samples. Twenty-seven samples (50.95%) had wild-type profiles for KRAS codon 12, 13, and 61 in the current cohort. In 17 (65.38%) samples, codon 12; in 7 (26.93%) samples, codon 13; and in 2 (7.69%) samples, codon 61 were found to be mutated, particularly in grade 2 of tumoral tissues. No point mutation was detected in BRAF codon Val600Glu for the studied CRC patients.

CONCLUSIONS

Our study, based on a representative collection of human CRC tumors, indicates that KRAS gene mutations were detected in 49.05% of the samples, and the most frequent mutation was in the G12D codon. Results also showed that codons 12 and 13 of KRAS are relatively frequently without BRAF mutation in a CRC cohort from the Turkish population.

Epigenetic biomarkers in colorectal cancer diagnostics

Colorectal cancer (CRC) is a significant health burden worldwide. Despite advancements in treatment options, improvements in CRC patient survival have been limited owing to lack of early detection and limited capacity for optimal therapeutic decision-making. Biomarkers to improve CRC diagnosis, prognosis and prediction of treatment response therefore represent opportunities to improve patient outcome. In addition to genetic alterations and genomic instability, it is now clear that epigenetic alterations play dramatic roles in driving tumor onset and progression in CRC. A recent surge in investigation of epigenetic biomarkers including DNA methylation, miRNA expression and histone modifications has demonstrated that these alterations may be enticing translational biomarker candidates in CRC. In particular, methylation kits have already been incorporated into clinical practice for a handful of cancers, including CRC. This review will aim to summarize the established and emerging roles of epigenetic modifications in CRC detection, prognostication and prediction of treatment response.

Noninvasive screening tests for colorectal cancer

BACKGROUND

Identifying an accurate, reliable, affordable, and acceptable noninvasive screening test for colorectal cancer (CRC) would greatly facilitate population screening.

METHODS

Published literature from 2000 through February 2012 on noninvasive CRC screening tests was identified, reviewed, and summarized.

RESULTS

The highest quality evidence for noninvasive screening exists for guaiac-based fecal occult blood tests (gFOBTs), for which the CRC-specific incidence and mortality reductions are modest. Fecal immunochemical tests (FITs) offer better sensitivity and comparable specificity. Cross-sectional studies comparing gFOBTs and FITs suggest that FITs provide higher detection of advanced neoplasia. Modeling studies favor FITs over gFOBTs with respect to effectiveness and cost-effectiveness. A myriad of studies report the performance of fecal-based and blood-based genetic and protein-based biomarkers; the studies differ in patient population assembled, marker selection, and assay methods. Several markers and panels of markers are promising, although nearly all studies focus on new markers and/or assay methods on small sets of referred patients rather than validating markers using optimal assays in a screening setting.

CONCLUSION

In the absence of long-term randomized trials, adoption of the noninvasive tests will require cross-sectional data on test characteristics obtained from the screening setting, where CRC prevalence is low and the full spectrum of colorectal findings exists, along with estimates of cumulative risks, benefits, and cost-effectiveness. Test adoption will ultimately depend on test characteristics, availability, affordability, and user appeal. There is no noninvasive substitute for the currently recommended screening tests. FITs should replace gFOBTs wherever gFOBTs are used for screening.

Identification of a biomarker panel for colorectal cancer diagnosis

BACKGROUND

Malignancies arising in the large bowel cause the second largest number of deaths from cancer in the Western World. Despite progresses made during the last decades, colorectal cancer remains one of the most frequent and deadly neoplasias in the western countries.

METHODS

A genomic study of human colorectal cancer has been carried out on a total of 31 tumoral samples, corresponding to different stages of the disease, and 33 non-tumoral samples. The study was carried out by hybridisation of the tumour samples against a reference pool of non-tumoral samples using Agilent Human 1A 60-mer oligo microarrays. The results obtained were validated by qRT-PCR. In the subsequent bioinformatics analysis, gene networks by means of Bayesian classifiers, variable selection and bootstrap resampling were built. The consensus among all the induced models produced a hierarchy of dependences and, thus, of variables.

RESULTS

After an exhaustive process of pre-processing to ensure data quality--lost values imputation, probes quality, data smoothing and intraclass variability filtering--the final dataset comprised a total of 8, 104 probes. Next, a supervised classification approach and data analysis was carried out to obtain the most relevant genes. Two of them are directly involved in cancer progression and in particular in colorectal cancer. Finally, a supervised classifier was induced to classify new unseen samples.

CONCLUSIONS

We have developed a tentative model for the diagnosis of colorectal cancer based on a biomarker panel. Our results indicate that the gene profile described herein can discriminate between non-cancerous and cancerous samples with 94.45% accuracy using different supervised classifiers (AUC values in the range of 0.997 and 0.955).

Potential of soluble CD26 as a serum marker for colorectal cancer detection

Colorectal cancer is characterized by a low survival rate even though the basis for colon cancer development, which involves the evolution of adenomas to carcinoma, is known. Moreover, the mortality rates continue to rise in economically transitioning countries although there is the opportunity to intervene in the natural history of the adenoma–cancer sequence through risk factors, screening, and treatment. Screening in particular accounted for most of the decline in colorectal cancer mortality achieved in the USA during the period 1975-2000. Patients show a better prognosis when the neoplasm is diagnosed early. Among the variety of screening strategies, the methods range from invasive and costly procedures such as colonoscopy to more low-cost and non-invasive tests such as the fecal occult blood test (guaiac and immunochemical). As a non-invasive biological serum marker would be of great benefit because of the performance of the test, several biomarkers, including cytologic assays, DNA and mRNA, and soluble proteins, have been studied. We found that the soluble CD26 (sCD26) concentration is diminished in serum of colorectal cancer patients compared to healthy donors, suggesting the potential utility of a sCD26 immunochemical detection test for early diagnosis. sCD26 originates from plasma membrane CD26 lacking its transmembrane and cytoplasmic domains. Some 90%–95% of sCD26 has been associated with serum dipeptidyl peptidase IV (DPP-IV) activity. DPP-IV, assigned to the CD26 cluster, is a pleiotropic enzyme expressed mainly on epithelial cells and lymphocytes. Our studies intended to validate this test for population screening to detect colorectal cancer and advanced adenomas are reviewed here.