Evolution of intratumoral genetic heterogeneity during colorectal cancer progression

KRAS mutation testing in human cancers: The pathologist's role in the era of personalized medicine

A number of studies have shown that although antiepidermal growth factor receptor (EGFR) monoclonal antibodies are effective treatments for metastatic colorectal cancer (mCRC), only patients with wild-type KRAS tumors derive clinical benefit from these therapies. The anti-EGFR monoclonal antibodies panitumumab and cetuximab are approved in the United States for treatment of mCRC refractory to chemotherapy but are not recommended for use in patients with mutations in KRAS codons 12 or 13. Similarly, panitumumab is approved for the treatment of mCRC only in patients with wild-type KRAS in Europe and Canada. It is clear that KRAS mutational analysis will become an important aspect of disease management in patients with mCRC. Consequently, it will be important for pathologists and oncologists to develop and agree on standardized KRAS testing and reporting procedures to ensure optimum patient care. Pathologists will be central to this process because of their crucial role in selecting appropriate tumor specimens for testing, choosing the molecular diagnostic laboratory to be used, assisting in the selection of a suitable KRAS test, and interpreting the results of KRAS mutational analysis. Guidelines for KRAS testing that address these and other important points of consideration have recently been proposed in the United States and the European Union.

Examining molecular biology in humans

Significant advances in biological knowledge have been made through the application of genomic, proteomic, and metabolomic technologies to the interrogation of static samples in model systems of human disease. The integration of the results of these technologies under the banner of systems biology holds much promise. In this forward-looking essay, we posit that to fully understand human biology, such measurements not only need to be integrated, but conducted in humans in real time through the merging of molecular biology and imaging technologies.

DATE analysis: A general theory of biological change applied to microarray data

In contrast to conventional data mining, which searches for specific subsets of genes (extensive variables) to correlate with specific phenotypes, DATE analysis correlates intensive state variables calculated from the same datasets. At the heart of DATE analysis are two biological equations of state not dependent on genetic pathways. This result distinguishes DATE analysis from other bioinformatics approaches. The dimensionless state variable F quantifies the relative overall cellular activity of test cells compared to well-chosen reference cells. The variable pi(i) is the fold-change in the expression of the ith gene of test cells relative to reference. It is the fraction phi of the genome undergoing differential expression-not the magnitude pi-that controls biological change. The state variable phi is equivalent to the control strength of metabolic control analysis. For tractability, DATE analysis assumes a linear system of enzyme-connected networks and exploits the small average contribution of each cellular component. This approach was validated by reproducible values of the state variables F, RNA index, and phi calculated from random subsets of transcript microarray data. Using published microarray data, F, RNA index, and phi were correlated with: (1) the blood-feeding cycle of the malaria parasite, (2) embryonic development of the fruit fly, (3) temperature adaptation of Killifish, (4) exponential growth of cultured S. pneumoniae, and (5) human cancers. DATE analysis was applied to aCGH data from the great apes. A good example of the power of DATE analysis is its application to genomically unstable cancers, which have been refractory to data mining strategies.

DNA methylation of polycomb group target genes in cores taken from breast cancer centre and periphery

We previously demonstrated that methylation of neugogenic differentiation 1 (NEUROD1) gene, a polycomb group target (PCGT) gene is a predictor of response to neoadjuvant chemotherapy in breast cancer. Here, we address the question whether NEUROD1 methylation provides clinical information independent from its expression level, and whether PCGT methylation is homogeneous in breast cancer. We examined: (1) NEUROD1 methylation and mRNA expression in 9 breast cancer cell lines and 63 tumour specimens, (2) DNA methylation in a training set of 55 PCGT genes taken from the centre (TUC) and periphery (TUP) of 15 breast cancer specimens, and compared this with 22 non neoplastic controls, and finally, (3) validated statistically significant genes in an independent set of 20 cases versus 18 controls. 8/9 cell lines demonstrated NEUROD1 methylation, whereas, there was only one cell-line that showed NEUROD1 expression. There was no association between methylation and expression in breast tumour specimens, with only 14% exhibiting NEUROD1 expression. Of the 55 PCGT genes analysed, 24% (13/55) were shown to be cancer specific (p < 0.05) with a receiver-operating-characteristic (ROC) area-under-the-curve (AUC) of >0.7 (range 0.71-0.95). DNA methylation accurately predicted the presence of cancer in both TUC and TUP. DNA methylation of PCGT genes predicts the presence of breast cancer and is not subject to tumour heterogeneity. Further work will reveal if methylation of PCGT genes will serve as a robust means for the clinical detection and assessment of breast cancer.

The clonal evolution of metastases from primary serous epithelial ovarian cancers

Several models of evolution from primary cancers to metastases have been proposed; but the most widely accepted is the clonal evolution model proposed for colorectal cancer in which tumors develop by a process of linear clonal evolution driven by the accumulation of somatic genetic alterations. Various other models of cancer progression and metastasis have been proposed, including parallel evolution and the same gene model. The aim of this study was to investigate the evolution of metastases from primary cancer in 22 patients diagnosed with high-grade serous epithelial ovarian cancer. We established somatic genetic profiles based on the pattern of loss of heterozygosity, in several different regions of tumor tissue within the primary tumor and metastatic deposits from each case. Maximum parsimony tree analysis was used to examine the evolutionary relationship between the primary and metastatic samples for each patient. In addition, we investigated the extent of genetic heterogeneity within and between metastatic tumors compared with primary ovarian tumors. Our data suggest that most, if not all, metastases are clonally related to the primary tumors. However, the data oppose a single model of linear-clonal evolution whereby a late stage clone within the primary tumor acquires additional genetic changes that enable metastatic progression. Instead, the data support a model in which primary ovarian cancers have a common clonal origin, but become polyclonal, with different clones at both early and late stages of genetic divergence acquiring the ability to progress to metastasis.

Cdc2 as prognostic marker in stage UICC II colon carcinomas

PURPOSE

Cyclin-dependent kinase 2 (cdc2) controls the G2-M checkpoint and, therefore, the entrance of cells into mitosis. It might play a crucial role during tumour progression in colon carcinomas (CCA). Thus, the prognostic value of cdc2 expression and connected markers relevant for proliferation and apoptosis has to be evaluated.

EXPERIMENTAL DESIGN

Punch biopsies from the tumour centre and the invasion front of 0.6mm diameter from 392 CCA stage UICC II-IV were integrated in 14 recipient paraffin blocks. After immunohistochemical staining for cdc2, p53, caspase 3 and ki-67, a present (+) and absent (-) scoring was performed in the tissue arrays. The logrank test was used to compare distant metastasis and cancer-related survival. Multivariate Cox regression analysis was done to identify independent prognostic factors for parameters with significant influence on cancer-related survival (CRS) and distant metastasis (DM).

RESULTS

The pT-category (p=0.007), nodal status (p<0.001), extramural venous infiltration (p<0.001) and lymphatic vessel invasion (p=0.003) were identified as independent histological parameters for CRS. Univariate analysis relating to stage UICC II-IV CCA showed caspase 3 in the tumour centre (p=0.047) to be a prognostic marker for CRS. In stage UICC II cdc2 (p=0.041) and caspase 3 in the invasion front (p=0.026) could be identified as independent prognostic factors for CRS and DM by multivariate analysis.

CONCLUSIONS

Cdc2 and caspase 3 could be identified as independent prognostic markers in stage UICC II CCA. They might be of value to select patients who should receive adjuvant treatment.

Tumor dormancy of primary and secondary cancers

Tumor dormancy is a phenomenon whereby cancer cells persist below the threshold of diagnostic detection for months to decades. This condition may arise due to either cell cycle arrest or a dynamic equilibrium state in which cell proliferation is in balance with cells undergoing apoptosis. Tumor dormancy is usually a reference to occult cancer cells that persist for an extended period of time after treatment, but primary cancers can also exhibit extended growth plateaus below the limits of detection. For example, autopsies of individuals who died of trauma reveal that most individuals harbor microscopic primary cancers. Mechanisms that operate independently or successively may restrict tumor expansion throughout tumor progression from incipiency to late-stage cancer. Proposed mechanisms include cell cycle withdrawal, immune surveillance, and blocked angiogenesis. The precise mechanisms underlying dormancy remain to be established, and relevant models will have an important impact on diagnostic and therapeutic strategies for treating cancer. This review summarizes the phenomenon of tumor dormancy, experimental models, and potential mechanisms.

Causes and consequences of increased glucose metabolism of cancers

In this review we examine the mechanisms (causes) underlying the increased glucose consumption observed in tumors within a teleological context (consequences). In other words, we will ask not only "How do cancers have high glycolysis?" but also, "Why?" We believe that the insights gained from answering the latter question support the conclusion that elevated glucose consumption is a necessary component of carcinogenesis. Specifically we propose that glycolysis is elevated because it produces acid, which provides an evolutionary advantage to cancer cells vis-à-vis normal parenchyma into which they invade.

Intratumor heterogeneity of epidermal growth factor receptor mutations in lung cancer and its correlation to the response to gefitinib

Somatic mutations introduced into the epidermal growth factor receptor (EGFR) gene in non-small-cell lung cancer (NSCLC) are important factors to determine therapeutic responses to gefitinib. The current diagnostic test measures the overall EGFR mutation status of the cancer tissue, and may ignore the presence of non-mutated, gefitinib-unresponsive cancer cells. Twenty-one NSCLC patients with EGFR mutations were recruited for the study. All patients were treated with gefitinib after surgical treatment. Fifty to sixty areas of NSCLC tumors were sampled from each tissue, and their EGFR mutation states were determined by a primer extension assay. This assay discriminates between EGFR mutation-positive and -negative cancer cells within a single tumor tissue. Fifteen tissues consisted only of cells with EGFR mutations, but the remaining six tissues contained both mutated and non-mutated cells. Time to disease progression and overall survival after gefitinib treatment were significantly shorter in those patients with EGFR heterogeneity (P = 0.009 and P = 0.003, respectively). A considerable proportion of NSCLC contains a heterogeneous population of both EGFR mutated and non-mutated cancer cells, resulting in a reduced response to gefitinib. The intratumor genetic heterogeneity of a target molecule such as EGFR would be an important factor to consider when treating patients with molecular target agents.

Mutational load distribution analysis yields metrics reflecting genetic instability during pancreatic carcinogenesis

Considering carcinogenesis as a microevolutionary process, best described in the context of metapopulation dynamics, provides the basis for theoretical and empirical studies that indicate it is possible to estimate the relative contribution of genetic instability and selection to the process of tumor formation. We show that mutational load distribution analysis (MLDA) of DNA found in pancreatic fluids yields biometrics that reflect the interplay of instability, selection, accident, and gene function that determines the eventual emergence of a tumor. An in silico simulation of carcinogenesis indicates that MLDA may be a suitable tool for early detection of pancreatic cancer. We also present evidence indicating that, when performed serially in individuals harboring a p16 germ-line mutation bestowing a high risk for pancreatic cancer, MLDA may be an effective tool for the longitudinal assessment of risk and early detection of pancreatic cancer.

Defining the steps that lead to cancer: replicative telomere erosion, aneuploidy and an epigenetic maturation arrest of tissue stem cells

Recently, an influential sequencing study found that more than 1700 genes had non-silent mutations in either a breast or colorectal cancer, out of just 11 breast and 11 colorectal tumor samples. This is not surprising given the fact that genomic instability is the hallmark of cancer cells. The plethora of genomic alterations found in every carcinoma does not obey the 'law of genotype-phenotype correlation', since the same histological subtype of cancer harbors different gene mutations and chromosomal aberrations in every patient. In an attempt to make sense out of the observed genetic and chromosomal chaos in cancer, I propose a cascade model. According to this model, tissue regeneration depends on the proliferation and serial activation of stem cells. Replicative telomere erosion limits the proliferative life span of adult stem cells and results in the Hayflick limit (M1). However, local tissue exhaustion or old age might promote the activation of M1-deficient tissue stem cells. Extended proliferation of these cells leads to telomere-driven chromosomal instability and aneuploidy (abnormal balance of chromosomes and/or chromosome material). Several of the aforementioned steps have been already described in the literature. However, in contrast to common theories, it is proposed here that the genomic damage blocks the epigenetic differentiation switch. As a result of aneuploidy, differentiation-specific genes cannot be activated by modification of methylation patterns. Consequently, the phenotype of cancer tissue is largely determined by the epigenetic maturation arrest of tissue stem cells, which in addition enables a fraction of cancer cells to proliferate, invade and metastasize, as normal adult stem cells do. The new model combines genetic and epigenetic alterations of cancer cells in one causative cascade and offers an explanation for why identical histologic cancer types harbor a confusing variety of chromosomal and gene aberrations. The Viennese Cascade, as presented here, may end the debate on if and how 'tumor-unspecific' aneuploidy leads to cancer.

Will knowledge of human genome variation result in changing cancer paradigms?

Our incomplete understanding of carcinogenesis may be a significant reason why some cancer mortality rates are still increasing. This lack of understanding is likely due to a research approach that relies heavily on genetic comparison between cancerous and non-cancerous tissues and cells, which has led to the identification of genes of cancer proliferation rather than differentiation. Recent observations showing that a tremendous degree of natural human genetic variation occurs are likely to lead to a shift in the basic paradigms of cancer genetics, in that there is a need to consider both the nature of the genes involved, and the idea that not every genetic variation identified in these genes may be associated with carcinogenesis. Based on studies using LCM and micro-genetic analyses, we propose that significant cancer initiating events may take place during the very early stages of development of cancer-susceptible tissues and that using such techniques might greatly help us in our understanding of carcinogenesis.

Origin and prognostic value of circulating KRAS mutations in lung cancer patients

Because of the current controversy on the origin and clinical value of circulating KRAS codon 12 mutations in lung cancer, we screened 180 patients using a combined restriction fragment-length polymorphism and polymerase chain reaction (RFLP-PCR) assay. We detected KRAS mutations in 9% plasma samples and 0% matched lymphocytes. Plasma KRAS mutations correlated significantly with poor prognosis. We validated the positive results in a second laboratory by DNA sequencing and found matching codon 12 sequences in blood and tumor in 78% evaluable cases. These results support the notion that circulating KRAS mutations originate from tumors and are prognostically relevant in lung cancer.

Cancer stem cells: models and concepts

Although monoclonal in origin, most tumors appear to contain a heterogeneous population of cancer cells. This observation is traditionally explained by postulating variations in tumor microenvironment and coexistence of multiple genetic subclones, created by progressive and divergent accumulation of independent somatic mutations. An additional explanation, however, envisages human tumors not as mere monoclonal expansions of transformed cells, but rather as complex tridimensional tissues where cancer cells become functionally heterogeneous as a result of differentiation. According to this second scenario, tumors act as caricatures of their corresponding normal tissues and are sustained in their growth by a pathological counterpart of normal adult stem cells, cancer stem cells. This model, first developed in human myeloid leukemias, is today being extended to solid tumors, such as breast and brain cancer. We review the biological basis and the therapeutic implications of the stem cell model of cancer.

Genetic intra-tumour heterogeneity in epithelial ovarian cancer and its implications for molecular diagnosis of tumours

Genetic analysis of solid tumours using DNA or cDNA expression microarrays may enable individualized treatment based on the profiles of genetic changes that are identified from each patient. This could result in better response to adjuvant chemotherapy and, consequently, improved clinical outcome. So far, most research studies that have tested the efficacy of such an approach have sampled only single areas of neoplastic tissue from tumours; this assumes that the genetic profile within solid tumours is homogeneous throughout. The aim of this study was to evaluate the extent of genetic intra-tumour heterogeneity (ITH) within a series of epithelial ovarian cancers. Several different regions (five to eight regions) of tumour tissue from 16 grade 3, serous epithelial ovarian cancers were analysed for genetic alterations using a combination of microsatellite analysis and single nucleotide polymorphism (SNP) analysis, in order to establish the extent of ITH. Maximum parsimony tree analysis was applied to the genetic data from each tumour to evaluate the clonal relationship between different regions within tumours. Extensive ITH was identified within all ovarian cancers using both microsatellite and SNP analysis. Evolutionary analysis of microsatellite data suggested that the origin of all tumours was monoclonal, but that subsequent clonal divergence created mixed populations of genetically distinct cells within the tumour. SNP analysis suggested that ITH was not restricted to random genetic changes, but affected genes that have an important functional role in ovarian cancer development. The frequent occurrence of ITH within epithelial ovarian cancers may have implications for the interpretation of genetic data generated from emerging technologies such as DNA and mRNA expression microarrays, and their use in the clinical management of patients with ovarian cancer. The basis of genetic ITH and the possible implications for molecular approaches to clinical diagnosis of ovarian cancers may apply to other tumour types.

Real-time, fluorescence-based quantitative PCR: a snapshot of current procedures and preferences

Real-time fluorescence-based quantitative PCR has become established as the benchmark technology for the quantification of nucleic acids, offering an immense choice of protocols, chemistries and instruments. However, whilst there are comparatively few technical problems associated with DNA-targeted quantitative PCR, this is not the case for real-time reverse transcription PCR assays, and there is considerable uncertainty regarding biological or clinical relevance of many real-time reverse transcription PCR results. A survey of working practices of nearly 100 delegates carried out prior to the Third qPCR Symposium held in London, UK, April 25-26, 2005, reveals some of the reasons underlying the variability of reported real-time reverse transcription PCR results. Specifically, the survey reveals extensive interlaboratory variation in assay design, validation and analysis that, together with other dubious practices, are the likely cause for the publication of variable results. These results emphasize the urgent need for the establishment of best practice guidelines for this technology, particularly in the context of its mounting adaptation as a high-throughput clinical diagnostic assay.

Intratumoral heterogeneity of MIB-1 labelling index in gastric gastrointestinal stromal tumor (GIST)

BACKGROUND

The MIB-1 labelling index (LI) is used as a prognostic indicator for gastrointestinal stromal tumors (GISTs). However, whether a biopsy-based LI represents the entire tumor is uncertain, because the LI is not always homogeneous. In this study, we examined the extent and characteristics of LI heterogeneity in gastric GISTs.

METHODS

We analyzed ten c-kit-positive gastric GISTs with diameters exceeding 3 cm, of which six were multilobular and four were unilobular. For MIB-1-immunostained sections, continuous digital images were obtained through the maximum diameter of the lobules. We obtained LIs for images by carrying out computer-assisted image analysis, and calculated the means and standard deviations (SDs) of the LIs for the lobules. For each lobule, intralobular heterogeneity was evaluated on the basis of the SD. For multilobular tumors, interlobular heterogeneity was assessed on the basis of the mean LI difference between lobules.

RESULTS

The SDs, which ranged from 0.8% to 9.8%, indicated intralobular heterogeneity. Moreover, considerable interlobular heterogeneity was noted in five (83%) of the six multilobular GISTs, in which the maximum interlobular mean LI difference ranged from 9.6% to 27.2%. Notably, although the high maximum mean LI (14.1%-32.3%) showed that these five GISTs were high-grade tumors, they also contained at least one lobule showing a low-grade mean LI value (2.7%-5.1%).

CONCLUSION

Gastric GISTs often show intralobular or interlobular MIB-1 LI heterogeneity. In multilobular GISTs, multiple biopsy samples may be required for the accurate evaluation of tumor grade.

Loss of heterozygosity at 15q21.3 correlates with occurrence of metastases in head and neck cancer

Deletions on the long arm of chromosome 15 suggesting the presence of potential tumor suppressor genes have been found in several tumors including carcinomas of the colorectum, urinary bladder, breast, lung, and head and neck. Here, we analyzed allelic imbalance on chromosome 15q in head and neck carcinomas and corresponding lymph node metastases to define common regions of aberrations with potential involvement in development and progression of these tumors. We studied a panel of 40 polymorphic microsatellite markers, spanning 15q13-15q26, in 63 head and neck carcinomas and 38 lymph node metastases. Loss of heterozygosity (LOH) could be demonstrated in 34 primary tumors (54%) and 35 metastases (92%). Aberration mapping defined three minimum regions of aberrations: a region between the markers D15S106 and D15S1029 in 15q21.3 (estimated as 3.9 Mb; region 1) was affected in the majority of tumors, whereas two other regions between D15S144 and D15S1040 in 15q13.3-14 (estimated as 2.4 Mb; region 2) and between D15S130 and D15S985 in 15q26.2-26.3 (estimated as 4.7 Mb; region 3) were less often involved. Allelic loss in region 1 correlated with T stages (P=0.0029) and metastatic potential (P=0.0018). LOH in regions 2 and 3 occurred predominantly in metastases (P=0.0129 and P=0.0013, respectively). No correlation with grading, localization, or clinical outcome could be established for any of the affected regions. Our data hint at aberrations in 15q21.3 as a possible important characteristic for head and neck squamous cell carcinomas with risk of progression.

Adequacy of Colonoscopic Biopsy Specimens for Molecular Analysis: A Comparative Study With Colectomy Tissue

Molecular analyses of tumors are increasingly useful for prognosis and for guiding therapy. Colonoscopic biopsy provides the first source of tissue for most cases of colorectal carcinoma and therefore might become an important source for molecular analyses. We have addressed the question whether molecular analyses of colonoscopic biopsy yield results similar to the findings from the surgical specimen. Further, we analyzed 2 separate areas of the colectomy specimen to assess tumor heterogeneity. We evaluated 3 samples from each of 67 patients for point mutations in the KRAS gene, loss of heterozygosity (LOH) at the Adenomatous Polyposis Coli (APC) and Deleted in Colon Cancer (DCC) genes and for microsatellite instability (MSI) using polymerase chain reaction based techniques. The average time interval between biopsy and surgery was 2.2+/-0.15 weeks. Lesions were from all colon segments and all surgical stages. The degree of agreement between the biopsy and surgical sites was high for APC LOH, MSI, and KRAS mutations (kappa=0.85, 1.00, and 0.93, respectively) but less so for DCC LOH (kappa=0.62). Colonoscopic biopsies are an acceptable source of neoplastic DNA for studies of KRAS, APC LOH, and MSI, but less so for DCC LOH, primarily resulting from technical considerations.

Determination of sequential mutation accumulation in pancreas and bile duct brushing cytology

Neoplastic progression is characterized by clonal expansion of tumor cells associated with accumulation of mutational damage. The timing of mutation acquisition could be of value in distinguishing preneoplastic conditions from early and advanced cancer as well as characterizing tumor aggressiveness and treatment response. Using quantitative methods applied to microdissected cell clusters selected according to cytomorphologic features, we sought to demonstrate the feasibility and efficacy for determining the time and course of mutation accumulation in pancreatobiliary cytology specimens. In all, 40 pancreatic duct and 21 biliary brushing cytology specimens were retrieved from the cytology database. Xylene-resistant markings were placed on the slide underside and coverslips removed. Clusters of benign, atypical and malignant cells were manually microdissected and DNA extracted. Mutations (allelic imbalance) (loss of heterozygosity) were quantitatively determined for a broad panel of 15 markers (1p, 3p, 5q, 9p, 10q, 17p, 17q, 21q, 22q) as well as point mutation in K-ras-2 using PCR/capillary electrophoresis. Time course was based on earlier mutations having a higher proportion of mutant DNA for a particular marker. The descending frequency of detectable mutational involvement in pancreatic cytology was K-ras-2 point mutation (58%), 3p25-26 and 17q21 (35%), 5q23 (33%), 1p36 (28%), followed by the remaining molecular markers. The descending frequency of mutational content in bile duct cytology was 17p13, 1p36, 3p25-26, and 5q23 followed by remaining molecular markers. K-ras-2 point mutation was not seen in bile duct specimens. While there was overlap in the spectrum of mutational markers in pancreatic duct and biliary brushing cytology, the temporal profile was significantly different (P<0.001). Pancreatic and biliary neoplasia progression involves distinct subset of accumulated defined mutations. Determination of timing of the mutational damage in cytologic material could be incorporated in the work-up and help in making a more definitive diagnosis of malignancy in pancreatobiliary cytology specimens.

Frequent occurrence of uniparental disomy in colorectal cancer

We used SNP arrays to identify and characterize genomic alterations associated with colorectal cancer (CRC). Laser microdissected cancer cells from 15 adenocarinomas were investigated by Affymetrix Mapping 10K SNP arrays. Analysis of the data extracted from the SNP arrays revealed multiple regions with copy number alterations and loss of heterozygosity (LOH). Novel LOH areas were identified at chromosomes 13, 14 and 15. Combined analysis of the LOH and copy number data revealed genomic structures that could not have been identified analyzing either data type alone. Half of the identified LOH regions showed no evidence of a reduced copy number, indicating the presence of uniparental structures. The distribution of these structures was non-random, primarily involving 8q, 13q and 20q. This finding was supported by analysis of an independent set of array-based transcriptional profiles, consisting of 17 normal mucosa and 66 adenocarcinoma samples. The transcriptional analysis revealed an unchanged expression level in areas with intact copy number, including regions with uniparental disomy, and a reduced expression level in the LOH regions representing factual losses (including 5q, 8p and 17p). The analysis also showed that genes in regions with increased copy number (including 7p and 20q) were predominantly upregulated. Further analyses of the SNP data revealed a subset of the identified alterations to be specifically associated with TP53 inactivation (including 8q gain and 17p loss) and lymph node metastasis status (gain of 7q and 13q). Another subset of the identified alterations was shown to represent intratumor heterogeneity. In conclusion, we demonstrate that uniparental disomy is frequent in CRC, and identify genomic alterations associated with TP53 inactivation and lymph node status.

Nucleic acid quantification and disease outcome prediction in colorectal cancer

Histopathological stage at diagnosis remains the most important prognostic determinant for colorectal cancer. However, conventional staging is unable to predict disease outcome accurately for each individual patient. This results in considerable prognostic heterogeneity within a given tumor stage and is of particular relevance for a subgroup of patients with stage II disease that would benefit from adjuvant therapy. The recent advances in functional genomics are beginning to have a significant impact on clinical oncology, and there is widespread interest in using molecular techniques for clinical applications. These have focused on two approaches: the use of polymerase chain reaction (PCR)-based methods for the detection of occult disease in lymph nodes, bone marrow and blood and the use of microarrays for the expression profiling of primary tumors. The aim is to develop molecular classifiers that will allow the prediction of disease outcome, thus matching patients with individualized treatment. Despite the obvious attractions of these approaches, there have been significant technical, biological and analytical problems in their translation into clinically relevant practice. This is particularly true for colorectal cancer, the second most common cancer in the western world. Nevertheless, progress is being made and the improved awareness and appreciation of those difficulties is beginning to generate results that should prove useful for clinical oncology.

Real-time reverse transcription PCR and the detection of occult disease in colorectal cancer

Molecular diagnostics offers the promise of accurately matching patient with treatment, and a resultant significant effect on improved disease outcome. More specifically, the real-time reverse transcription polymerase chain reaction (qRT-PCR), with its combination of conceptual simplicity and technical utility, has the potential to become a valuable analytical tool for the detection of mRNA targets from tissue biopsies and body fluids. Its potential is particularly promising in cancer patients, both as a prognostic assay and for monitoring response to therapy. Colorectal cancer provides an instructive paradigm for this potential as well as the problems associated with its use as a clinical assay. Currently, histopathological staging, which provides a static description of the anatomical extent of tumour spread within a surgical specimen, defines patient prognosis. The detection of lymph node (LN) metastasis constitutes the most important prognostic factor in colorectal cancer and as the primary indicator of systemic disease spread, LN status determines the choice of postoperative adjuvant chemotherapy. However, its limitations are emphasised by the considerable prognostic heterogeneity of patients within a given tumour stage: not all patients with LN-negative cancers are cured and not all patients with LN-positive tumours die from their disease. This has resulted in a search for more accurate staging protocols and has seen the introduction of the concept of "molecular staging", the incorporation of molecular parameters into clinical tumour staging. Quantification of disease-associated mRNA is one such parameter that utilises the qRT-PCR assay's potential for generating quantitative results. These are not only more informative than qualitative data, but contribute to assay standardisation and quality management. This review provides an assessment of the practical value to the clinician of RT-PCR-based molecular diagnostics. It points out reasons for the many contradictory results encountered in the literature and concludes that there is an urgent need for standardisation at every level, starting with pre-assay sample acquisition and template preparation, assay protocols and post-assay analysis.

Targeting NF-kappaB in anticancer adjunctive chemotherapy

After more than three decades of its declaration, the war against cancer still appears far from being won. Although there have been decisive victories in a few battles, such as the one against testicular cancer, the overall result is sobering. Hopes for an imminent cure had been raised among the public by the promises of molecular biology, combinatorial chemistry and high-throughput screening. These promises have manifested themselves in the widely proclaimed strategy of rationally targeted anticancer drug discovery, which may be summarized as the 'one-gene-one target-one drug' approach. Over the years, however, it has gradually become clear that, in most cases, treatment of cancer with a single drug may at best delay progression of the disease but is unlikely to lead to a cure. Thus, it appears that rationally targeted monotherapy will have to be replaced by rationally targeted combination therapy. Inhibitors of NF-kappaB look likely to become an important weapon in the anticancer combination therapy arsenal.

Genomic profiling associated with recurrence in patients with rectal cancer treated with chemoradiation

Purpose: Stage II and III adenocarcinoma of the rectum has an overall 5-year survival rate of approximately 50%, and tumor recurrence remains a major problem despite an improvement in local control through chemotherapy and radiation. The efficacy of chemoradiation therapy may be significantly compromised as a result of interindividual variations in clinical response and host toxicity. Therefore, it is imperative to identify those patients who will benefit from chemoradiation therapy and those who will develop recurrent disease. In this study, we tested whether a specific pattern of 21 polymorphisms in 18 genes involved in the critical pathways of cancer progression (i.e., drug metabolism, tumor microenvironment, cell cycle regulation, and DNA repair) will predict the risk of tumor recurrence in rectal cancer patients treated with chemoradiation. Patients and methods: A total of 90 patients with Stage II or III rectal cancer treated with chemoradiation were genotyped using polymerase chain reaction (PCR)-based techniques for 21 polymorphisms. Results: A polymorphism in interleukin (IL)-8 was individually associated with risk of recurrence. Classification and regression tree analysis of all polymorphisms and clinical variables developed a risk tree including the following variables: node status, IL-8, intracellular adhesion molecule-1, transforming growth factor-β, and fibroblast growth factor receptor 4. Conclusion: Genomic profiling may help to identify patients who are at high risk for developing tumor recurrence, and those who are more likely to benefit from chemoradiation therapy. A larger prospective study is needed to validate these preliminary data using germline polymorphisms on tumor recurrences in rectal cancer patients treated with chemoradiation.

Control of colorectal metastasis formation by K-Ras

Mutational activation of the K-Ras proto-oncogene is frequently observed during the very early stages of colorectal cancer (CRC) development. The mutant alleles are preserved during the progression from pre-malignant lesions to invasive carcinomas and distant metastases. Activated K-Ras may therefore not only promote tumor initiation, but also tumor progression and metastasis formation. Metastasis formation is a very complex and inefficient process: Tumor cells have to disseminate from the primary tumor, invade the local stroma to gain access to the vasculature (intravasation), survive in the hostile environment of the circulation and the distant microvascular beds, gain access to the distant parenchyma (extravasation) and survive and grow out in this new environment. In this review, we discuss the potential influence of mutant K-Ras on each of these phases. Furthermore, we have evaluated the clinical evidence that suggests a role for K-Ras in the formation of colorectal metastases.

Hypoxia-induced dedifferentiation of tumor cells--a mechanism behind heterogeneity and aggressiveness of solid tumors

Histopathological examination of solid tumors frequently reveals pronounced tumor cell heterogeneity with regards to cell organization, cell morphology, cell size, nuclei morphology, etc. Analyses of gene expression patterns by immunohistochemistry or in situ hybridization techniques further strengthen the actual presence of phenotypic heterogeneity, often demonstrating substantial diversity within a given tumor. The molecular mechanisms underlying the phenotypic heterogeneity are very complex with genetic, epigenetic and environmental components. Hypoxia, shortage in oxygen, greatly influences cellular phenotypes by altering the expression of specific genes, and is an important contributor to intra- and inter-tumor cell diversity as revealed by the pronounced but non-uniform expression of hypoxia-driven genes in solid tumors (reviewed in [Semenza GL. Targeting HIF-1 for cancer therapy. Nat Rev Cancer 2003;3:721-32; Harris AL. Hypoxia--a key regulatory factor in tumour growth. Nat Rev Cancer 2002;2:38-47.]). The oxygen pressure in solid tumors is generally lower than in the surrounding non-malignant tissues, and tumors exhibiting extensive hypoxia have been shown to be more aggressive than corresponding tumors that are better oxygenized [Vaupel P. Oxygen transport in tumors: characteristics and clinical implications. Adv Exp Med Biol 1996;388:341-51; Vaupel P, Thews O, Hoeckel M. Treatment resistance of solid tumors: role of hypoxia and anemia. Med Oncol 2001;18:243-59.]. We recently observed that hypoxic neuroblastoma cells and breast cancer cells lose their differentiated gene expression patterns and develop stem cell-like phenotypes [Jögi A, Øra I, Nilsson H, Lindeheim A, Makino Y, Poellinger L, et al. Hypoxia alters gene expression in human neuroblastoma cells toward an immature and neural crest-like phenotype. Proc Natl Acad Sci USA 2002;99:7021-6; Helczynska K, Kronblad A, Jögi A, Nilsson E, Beckman S, Landberg G, et al. Hypoxia promotes a dedifferentiated phenotype in ductal breast carcinoma in situ. Cancer Res 2003;63:1441-4.]. As low stage of differentiation in neuroblastoma and in breast cancer is linked to poor prognosis, hypoxia-induced dedifferentiation will not only contribute to tumor heterogeneity but could also be one mechanism behind increased aggressiveness of hypoxic tumors. The effect(s) of hypoxia on tumor cell differentiation status is the focus of this review.