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PubMed2004

Expression genomics and cancer biology.

Expression genomics is a term that is used to describe the investigation of transcription in a whole-genome manner and includes the investigation of gene regulation. Characteristic of this approach is its comprehensiveness and the highly multiplexed nature of its analysis. Thus, the range of technologies used include microarrays, tag library approaches, such as serial analysis of gene expression (SAGE), full-length cDNA cloning and sequencing, and chromatin immunoprecipitation coupled with cloning/sequencing or applied to genomic chips. These technologies are all complementary since they have different capabilities and attack different components of the transcriptome: transcriptional regulation, promoter usage, differential splicing, and gene expression. Unlike genome sequencing, the combinatorial complexity of the transcriptome is immense, making its complete characterization impossible. Instead, the strategy has shifted to the analysis of the whole transcriptome in a context-driven, cell biological framework where the fundamental truths emerge through multiple comparisons and pharmacological challenges. The density of non-redundant data generated with any experiment allows for the assessment of higher order relationships. This comprehensive data, in turn, permits information convergence across different experiments, organisms, and data sets. Surprising concordance in the underlying conclusions is observed with data of such complexity. Since microarrays have been the most widely used technology in expression genomics for the study of cancer biology, this paper will focus on studies using expression arrays, but will also touch on other transcriptome-directed technologies. The experience with these approaches is sufficiently mature to arrive at some generalizable observations. First, although expression genomics is a useful approach for the discovery of individual candidate genes, its greatest power is in defining class distinctions using the collective behavior of gene clusters. Therefore, expression genomic output can effectively uncover hierarchies of molecular importance. Second, in the hierarchy of factors that determine the expression footprint within a cell, cell lineage is the most important, followed by the activity of specific biochemical pathways and further followed by the effect of individual genes. Lastly, expression profiling is an effective clinical tool that can discern prognostic and therapeutic classes. The importance of these gene lists is that not only do they describe potential therapeutic targets, but they are effective monitors of therapeutic efficacy.

Animals↗
PubMed2000

Genomic instability at the BUB1 locus in colorectal cancer, but not in non-small cell lung cancer.

Genomic instability is observed in the majority of human tumors. Dysregulation of the mitotic spindle checkpoint is thought to be one of the mechanisms that facilitate aneuploidy in tumor cells. Mutations in the mitotic spindle checkpoint kinase BLUB1 cause a dominant negative disruption of the spindle, leading to chromosome instability in cancer cell lines. However, little is known about chromosome 2q14, the genomic region containing BUB1, in human tumors. The BUB1 locus was evaluated in 32 colorectal cancer (CRC) and 20 non-small cell lung cancer (NSCLC) primary tumors using a panel of seven microsatellite repeats for 2q, two CA repeats in BUB1, and gene mutation analysis. The 2q locus was allelically stable in NSCLC but relatively unstable in colorectal primary tumors (20 of 32 tumors, 62.5%). In addition, 14.5% of CRC patients displayed instability within BUB1. Previously described BUB1 mutations and polymorphisms were rare (< 1%) in the CRC or NSCLC tumors. Our data demonstrate 2q and BUB1 allelic instability in CRC and indicate that mutations in BUB1 are rare causes of chromosome instability in CRC or NSCLC. Additional investigations may shed light on the mechanistic impact of the mitotic spindle checkpoint pathway in colorectal tumor initiation and progression.

Adenocarcinoma↗
PubMed1998

Prognostic value of genomic damage in non-small-cell lung cancer.

Genomic alterations have been analysed in 65 non-small-cell lung cancer (NSCLC) tissue samples by using the arbitrarily primed polymerase chain reaction (AP-PCR), which is a PCR-based genomic fingerprinting. We have shown that AP-PCR may be applied as a useful and feasible practical method for detection of the genomic alterations that accompany malignancy in NSCLC. Genomic changes detected by us consisted of: allelic losses or gains in anonymous DNA sequences, homozygously deleted DNA sequences and polymorphic DNA sequences. According to these genomic changes, lung tumours evaluated in the present study have been scored into three groups: low, moderate and high genomic damage tumours. The aim of this study was to investigate the effect of genomic damage on patient survival. Survival analysis was carried out in 51 NSCLC patients. Our results revealed that high genomic damage patients showed a poorer prognosis than those with low or moderate genomic damage (P = 0.038). Multivariate Cox regression analysis showed that patients with higher genomic alterations displayed an adjusted-by-stage risk ratio 4.26 times higher than the remaining patients (95% CI = 1.03-17.54). We can conclude that genomic damage has an independent prognostic value of poor clinical evolution in NSCLC.

Adult↗
PubMed2026

Hierarchical modeling of tumor subtypes in cell lines using large-scale genomic datasets.

Cancer cell lines (CLs) are widely used to study tumor biology and drug response, yet their translational relevance is often limited by inaccurate subtype annotations. Existing CL-tumor matching approaches are frequently constrained by flat classification schemes, weak subtype definitions, and the exclusion of normal tissue references, leading to potential confounding of tumor-specific and tissue-of-origin signals. To address these limitations, a hierarchical classification (HC) framework is presented in which CLs are aligned with patient tumors across biological resolutions, from organ to molecular subtype. Gene expression profiles from 802 CLs, 5,612 tumors from The Cancer Genome Atlas (TCGA) , and 8,939 non-cancerous tissues were integrated to separate oncogenic signals from tissue-specific signals. Node-specific features were selected using maximum relevance minimum redundancy, and balanced accuracies of 89% in cross-validation and 75%, and 80% on external datasets were achieved. Through the framework, 43 CLs were reassigned, and clinically relevant underrepresented subtypes were identified.

cancer cell lines↗
PubMed2007

Biomarker discovery in epithelial ovarian cancer by genomic approaches.

Ovarian cancer is the fifth most common form of cancer in women in the United States. It is a complex disease composed of different histological grades and histological types. Most of epithelial ovarian cancer cases are detected at an advanced stage. Patients usually respond to primary treatment with surgery and chemotherapy. However, the disease usually recurs and is ultimately fatal. So far, a satisfactory screening procedure and regime to treat the recurrence disease are not available. High-throughput genomic analyses have the potential to change the detection and the treatment of ovarian neoplasms. They can help diagnose subtypes of disease and predict patient survival. New diagnostic and prognostic markers for ovarian cancer are emerging. One day, profiling may influence treatment decisions, informing both which patients should receive chemotherapy and what type of chemotherapeutic agents should be employed. As greater numbers of tumor samples are analyzed, the power of these profiling studies will increase, raising the possibility that novel molecular targets and less toxic therapies will be identified. These powerful techniques hold the potential to unravel the genetic origins of ovarian cancer. Hopefully, this will translate into earlier diagnosis and better patient outcome from disease.

Animals↗
PubMed2007

Systems biology in cancer research: genomics to cellomics.

Cancers result from large-scale deregulation of genes that lead to cancer pathophysiologies such as increase proliferation, decreased apoptosis, increased motility, increased angiogenesis, and others. Genes that influence proliferation and apoptosis are particularly attractive as therapeutic targets. To identify genes that influence these phenotypes, we have developed simple and rapid methods to measure apoptosis and cell proliferation using high content screening with YO-PRO-1 and anti-BrdU staining of BrdU pulsed cells, respectively.

Benzimidazoles↗
PubMed2000

Analysis of genomic imprinting of insulin-like growth factor 2 in colorectal cancer.

Genomic imprinting of insulin-like growth factor 2 (IGF2) has been shown to play an important role in the development of Wilms' tumor and adult cancers including lung and esophageal cancer. Although IGF2 has been reported to be overexpressed in colorectal cancer, the status of this gene has not been fully elucidated. To clarify genomic imprinting of IGF2 in colorectal cancer, we examined loss of imprinting (LOI) and loss of heterozygosity (LOH) in surgically resected tissues by utilizing Apa1 polymorphism. Of 46 patients with colorectal cancer, 2 exhibited (2/15, 13%) LOH among 15 patients who were heterozygous for IGF2 DNA in nontumorous tissues. Four (4/12, 33%) patients showed LOI of IGF2 gene among informative patients. In these patients, the reverse transcription polymerase chain reaction and immunohistochemistry revealed that IGF2 mRNA is overexpressed in tumorous tissues, compared to nontumorous tissues. Of 15 patients in whom IGF2 was immunohistochemically more highly expressed in tumorous than in normal tissues, there were 2 with LOH and 4 with LOI. The results of the present study suggest that LOI of IGF2 plays an important role in the carcinogenesis of colorectal cancer.

Adult↗
PubMed2001

Cancer-specific genomic instability in bronchial lavage: a molecular tool for lung cancer detection.

We examined genomic instability in DNA from 80 bronchial lavage samples from patients with lung cancer and individuals with no malignant lung disease. We used a multiplex assay of eight fluorescent-tagged microsatellite markers that have a very high incidence of allelic imbalance in lung tumors. When genomic instability at individual loci was analyzed statistically against diagnosis, markers D3S1289 (P = 0.033), D3S1300 (P = 0.001), D13S171 (P = 0.009), and D17S2179E (P = 0.017) demonstrated significantly higher frequency of instability in bronchial lavage specimens from lung cancer cases than those with nonmalignant conditions. In contrast, markers D9S157, D9S161, D13S153, and D5S644 demonstrated lower specificity (P > 0.05) for lung tumors. These results suggest that genomic instability in some loci may be related to high proliferation rates but not necessarily to cell commitment to malignancy. When genomic instability was scored with only the four cancer-specific markers, the assay produced a sensitivity of 73.9% and a specificity of 76.5%. On combining the results from the cytological examination and the molecular assay, the sensitivity reached 82.6%. These results indicate that in our efforts to investigate genomic instability as a potential marker for the early detection of lung cancer, we need to identify cancer-specific genomic instability markers. This paper has shown that these first four markers may be considered to form an individual set of cancer-specific genomic instability markers.

Adult↗
PubMed2026

Haplotype-resolved reconstruction and functional interrogation of cancer karyotypes.

Complex karyotype changes are widespread in cancer genomes. A major gap in cancer genome characterization is the resolution of rearranged chromosomes with chromosome-length continuity. Here, we describe a two-tiered approach to determine the segmental composition of rearranged chromosomes with haplotype resolution. First, we present refLinker, a bioinformatic method for robust determination of chromosomal haplotypes using cancer Hi-C data. By contrast with existing methods, refLinker is insensitive to the presence of large-scale DNA deletions, duplications, and high-level amplification in cancer genomes. Second, we demonstrate a computational strategy to determine the segmental structure of rearranged chromosomes using haplotype-specific Hi-C contacts. We apply these methods to breast cancer genomes and provide direct evidence for long-range transcriptional changes associated with rearrangements of the inactive X chromosome. Together, these results highlight refLinker's broad utility for studying the functional consequences of chromosomal rearrangements.

Humans↗
PubMed2000

Genomic alterations (LOH, MI) on chromosome 17q21-23 and prognosis of sporadic colorectal cancer.

Genomic alterations at the long arm of chromosome 17, and in particular at the nm23 locus, are still controversial in colorectal cancer (CRC). Our aim was to investigate the possible relationship of loss of heterozygosity (LOH) and microsatellite instability (MI), at 4 microsatellite loci spanning the 17q21-23 region, to the risk of liver metastasis and nm23 protein expression. Genomic DNA extracted from 58 primary and 54 liver secondary formalin-fixed and paraffin-embedded CRCs was obtained from 82 patients. A fluorescent PCR coupled with an automated DNA sequencer was applied. Increasing fraction of loci showing LOH was positively associated with risk of liver metastases (logrank test for trend, p = 0.005); this remained independent after adjusting to T-stage (Cox regression, p = 0.022), N-stage (p = 0.007), or Dukes' stage (p = 0.012). Conversely, increasing frequency of MI was associated with a reduced risk of liver metastases in Dukes' B tumours (logrank test for trend, p = 0.032). When comparing 30 primary and matched liver secondary lesions, we found concordant genomic alteration in 72% (NME1) to 43% (D17S579). Finally, we observed a trend in association between the proportion of loci with LOH and nm23 positivity (chi2 test for trend, p = 0.024). Our findings suggest that genomic alterations in the 17q21-23 region may affect prognosis of CRC as well as regulation of the nm23 protein expression via an unknown underlying mechanism.

Adult↗
PubMed2005

Anaphase-promoting complex-dependent proteolysis of cell cycle regulators and genomic instability of cancer cells.

Genomic instability can be found in most cancer cells. Cell proliferation is under tight control to ensure accurate DNA replication and chromosome segregation. Cyclin-dependent kinases (Cdks) and their activating subunits, the cyclins, are the driving forces of the cell division cycle. Regulation of cyclin oscillation by ubiquitin-dependent proteolysis thereby has a central role in cell cycle regulation. The anaphase-promoting complex (APC) is a specific ubiquitin ligase and is essential for chromosome segregation, exit from mitosis and a stable subsequent G1 phase allowing cell differentiation or accurate DNA replication in the following S phase. The APC is activated by the regulatory subunits Cdc20 (APC(Cdc20)) and Cdh1 (APC(Cdh1)) to target securin, mitotic cyclins and other cell cycle regulatory proteins for proteasomal degradation. This review is focused on the role of APC-dependent proteolysis in cell cycle regulation and how its deregulation may lead to genomic instability of cancer cells.

Anaphase-Promoting Complex-Cyclosome↗
PubMed2002

Target validation for genomics using peptide-specific phage antibodies: a study of five gene products overexpressed in colorectal cancer.

Genomic approaches are providing a wealth of information on differential gene expression in cancer. To identify the most interesting genes amongst the many identified, high-throughput methods for analysis of genes at the translational level are required. We have used a rapid method for the in vitro selection of antibodies to peptide antigens for the generation of probes to 5 gene products that we have found to be overexpressed in colorectal cancer. The rationale of our study was to select a non-immune phage displayed human antibody library on peptides designed from the coding regions of the gene sequences and to verify whether such antibodies would be suitable probes for the parental protein in immunohistochemical and Western blot analysis. After the generation of a profile of genes overexpressed in primary colorectal cancer (CRC) we selected 5 genes, Ese-3b, Fls353, PBEF, SPARC and Smad5 for a more detailed analysis using phage display-derived antibodies. For these 5 antigens we designed 14-20 amino acid peptides predicted to be exposed on the surface of the parental protein. Selection of a large phage displayed antibody library resulted in specific antibodies for 6 of 8 different peptides with between 2 and 15 different antibodies isolated per peptide. Of 20 antibodies tested, 2 antibodies recognized the putative parental protein from primary CRC tissue. An antibody specific for a PBEF-derived peptide (Fab/PBEF-D4) was shown to recognize a protein product of the expected molecular weight in Western blotting and showed overexpression in n = 6/8 matched tumor/normal protein lysates. Furthermore, in immunohistochemistry this antibody showed restricted staining of the tumor stromal compartment with no detectable staining of epithelial cells. The discovery that PBEF is overexpressed in cancer is unexpected given that the normal function of PBEF is as a cytokine required for the maturation of B cell precursors. We also report on the isolation of an antibody (Fab/SMAD-50) specific for a Smad5-derived peptide that showed cytoplasmic staining of epithelial cells in both CRC tumor and matched normal mucosa. Fab/SMAD-50 also bound to a group of proteins in Western blotting with molecular weights consistent with belonging to the Smad family. These antibodies may be suitable probes for further investigation of the roles of PBEF and Smad5 in cancer. The amenability of phage display to automation suggests that this approach may be developed for implementation on a genomics scale. Indeed, the large-scale generation of antibody probes that can be used to study protein expression in situ would be of great value in target validation for functional genomics.

Amino Acid Sequence↗
PubMed2026

Identifying multigenic modules under selection in the tumor genome.

MOTIVATION: Genomic alterations in cancer arise from selective pressures acting on hallmark molecular modules, layered over a background of random mutagenic events. Methods to detect selection at the level of modules, as opposed to genes or nucleotides, are relatively underdeveloped. RESULTS: Here we present CanSRMaPP (Cancer Selection Recovery by Maximum Posterior Probability), a Bayesian model of the cancer genome that infers mutational selection on single genes and multi-genic modules while simultaneously modeling background events. Applying CanSRMaPP to lung adenocarcinoma genomes, we identify positive selection on 63 modules, yielding a model that parsimoniously explains the observed pattern of genetic alterations observed in new cancer cohorts. We further show that CanSRMaPP is adaptable to more tumor types and to alternative module definitions. We show that these modules serve as an effective scaffold for translating the cancer genome to molecular states, with prediction of cancer biomarker status as demonstration. AVAILABILITY: CanSRMaPP is freely available on GitHub. SUPPLEMENTARY INFORMATION: Supplementary Figs. S1-5, Supplementary Tables S1-5, and Supplementary Notes 1 and 2 are available at Bioinformatics online.

Journal Article↗
PubMed1992

Isolation of DNA sequences deleted in lung cancer by genomic difference cloning.

To identify DNA sequences that are deleted in human lung cancer, genomic subtraction hybridization was used to construct plasmid libraries that are enriched for DNA sequences deleted in the small cell lung carcinoma cell line SK-LC-17. The clones of the libraries contained predominantly single copy sequences, allowing direct screening of normal and tumor DNA by genomic Southern blotting. Of 150 clones tested, three independent clones (del-27, del-118, and del-109) were identified that specifically hybridized with normal human DNA but not with tumor DNA from the cell line SK-LC-17. The corresponding DNA sequences are localized on human chromosomes 5, 8, and X/Y. The DNA regions identified by del-109 and del-118 were also found to be deleted in several other lung carcinoma cell lines. Moreover, del-118 was deleted in a freshly isolated lymph node metastasis of a human lung adenocarcinoma. It is therefore reasonable to speculate that the identified clones are derived from independent genetic loci encoding potential tumor suppressor genes.

Base Sequence↗
PubMed2025

Clinical utility of comprehensive genomic profiling test for colorectal cancer: a single institution prospective observational study.

PURPOSE: Next-generation sequencing (NGS) has revolutionized cancer treatment by enabling comprehensive cancer genomic profiling (CGP) to guide genotype-directed therapies. While several prospective trials have demonstrated varying outcomes with CGP in patients with advanced solid tumors, its clinical utility in colorectal cancer (CRC) remains to be evaluated. METHODS: We conducted a prospective observational study of CGP in our hospital between September 2019 and March 2024. Overall survival (OS) of the patients who received CGP-based therapy and those did not was compared, and genomic variables associated with OS were evaluated. RESULTS: A total of 100 patients with CRC underwent CGP using four platforms. The median patient age was 67&#xa0;years, and most had a good performance status. The most frequent genomic alterations were TP53 (82%), APC (82%), and KRAS (55%). Actionable mutations such as ERBB2 amplification and BRAF V600E were identified in some patients, and 9% received CGP-based therapy, including immune checkpoint inhibitors for tumor mutational burden-high or microsatellite instability-high tumors. Patients receiving CGP-based therapy had longer OS from expert panel discussion (16.0 vs. 10.8&#xa0;months) compared to those who did not. Alterations in TP53, SMAD4, and NF1 were associated with worse OS. Interestingly, PTEN mutations were linked to improved survival. TP53 alterations were more common in left-sided CRC. CONCLUSION: Although some patients with CRC received CGP-guided therapy, a statistically significant survival benefit was not observed. However, TP53 and SMAD4 mutations were identified as negative prognostic markers, indicating their potential as targets for future drug development.

Humans↗
PubMed2026

OLFML2B promotes hepatocellular carcinoma malignancy via the PI3K/AKT-EMT axis and correlates with an immunosuppressive tumor microenvironment.

INTRODUCTION: Hepatocellular carcinoma (HCC) is a leading cause of global cancer-related mortality, highlighting the need for novel biomarkers and therapeutic targets. METHODS: The role of Olfactomedin-like 2B (OLFML2B) in HCC was investigated through multi-database analyses (The Cancer Genome Atlas, International Cancer Genome Consortium, Gene Expression Omnibus) and experimental validation. RESULTS: OLFML2B was significantly upregulated in HCC tissues, correlated with poor overall and disease-specific survival, clinicopathological features (tumor grade, stage, age, gender), and robust diagnostic performance (AUC > 0.7 across 14/15 datasets). Transcriptomic and single-cell analyses further revealed that high OLFML2B expression was associated with an immunosuppressive tumor microenvironment, characterized by increased infiltration of M2 macrophages, cancer-associated fibroblasts (CAFs), and regulatory T cells (Tregs), as well as reduced abundance of cytotoxic T cells and NK cells. Knockdown of OLFML2B suppressed malignant phenotypes, including cell proliferation, migration, invasion, and angiogenesis, attenuated PI3K/AKT-EMT signaling, and enhanced sensitivity to sorafenib, cabozantinib, and regorafenib in Huh7 and HepG2 cells. Additionally, OLFML2B knockdown suppressed tumor growth and metastasis in zebrafish xenografts. DISCUSSION: Collectively, these findings indicate that OLFML2B is required for HCC progression and represents a prognostic biomarker and potential therapeutic target.

Humans↗
PubMed2005

GenoCache: a Genomics and Cancer Chemoprevention portal.

To integrate cancer chemoprevention information on a genomics basis, we have built a Web site named GenoCache (Genomics and Cancer Chemoprevention) that would provide users with a molecular biological view of cancer chemoprevention. The site is organized in four viewpoints: substances, genes or gene products with their genetic variations, cells or tissues with various cancer development states, and "pathways" or sequential interactions between these objects. We linked the relevant genes to dbSNP.

Chemoprevention↗
PubMed2006

Epidemiological studies in the information and genomics era: experience of the Clinical Genome of Cancer Project in São Paulo, Brazil.

Genomics is expanding the horizons of epidemiology, providing a new dimension for classical epidemiological studies and inspiring the development of large-scale multicenter studies with the statistical power necessary for the assessment of gene-gene and gene-environment interactions in cancer etiology and prognosis. This paper describes the methodology of the Clinical Genome of Cancer Project in São Paulo, Brazil (CGCP), which includes patients with nine types of tumors and controls. Three major epidemiological designs were used to reach specific objectives: cross-sectional studies to examine gene expression, case-control studies to evaluate etiological factors, and follow-up studies to analyze genetic profiles in prognosis. The clinical groups included patients' data in the electronic database through the Internet. Two approaches were used for data quality control: continuous data evaluation and data entry consistency. A total of 1749 cases and 1509 controls were entered into the CGCP database from the first trimester of 2002 to the end of 2004. Continuous evaluation showed that, for all tumors taken together, only 0.5% of the general form fields still included potential inconsistencies by the end of 2004. Regarding data entry consistency, the highest percentage of errors (11.8%) was observed for the follow-up form, followed by 6.7% for the clinical form, 4.0% for the general form, and only 1.1% for the pathology form. Good data quality is required for their transformation into useful information for clinical application and for preventive measures. The use of the Internet for communication among researchers and for data entry is perhaps the most innovative feature of the CGCP. The monitoring of patients' data guaranteed their quality.

Adult↗