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PubMed1990

Relative prevalence of typical and atypical strains among rotaviruses from diarrheic pigs in conventional swine herds.

Polyacrylamide gel electrophoresis was conducted on genomic RNA extracted from rotaviruses detected in diarrheic pigs from conventional swine herds. Ninety samples contained sufficient virus for RNA band visualization and genome classification. Genome profiles were characteristic of typical group A rotaviruses in 67.8% of the 90 samples, of group B rotaviruses in 10.0%, and of group C rotaviruses in 11.1%. In 11.1% of the samples, the presence of more than 11 bands suggested concurrent infection with more than 1 strain of rotavirus. In infections among nursing pigs, 76.4% were group A rotaviruses, 7.4% were group B, 7.4% were group C, and 8.8% were coinfections. In infections among weaned pigs, 40.9% were group A, 18.2% were group B, 22.7% were group C, and 18.2% were coinfections. Coelectrophoresis with prototype OSU and Gottfried strains revealed a great diversity in electropherotype among field strains of rotavirus.

Animals↗

PubMed2026

Biomarker-guided selection of intravesical therapy in high-risk non-muscle invasive bladder cancer: A contemporary review.

High-risk non-muscle invasive bladder cancer poses therapeutic challenges, with significant rates of recurrence and progression with standard intravesical bacillus Calmette-Guérin (BCG) therapy. Current surveillance strategies lack accurate risk stratification models to predict individual treatment response and personalized treatment options. Simultaneously, there are no well-validated alternatives to replace the current gold-standard approach based on clinical and pathologic features. This review examines emerging biomarkers and advanced technologies with the potential to enhance patient selection and personalize intravesical therapy in HR-NMIBC. Artificial intelligence(AI)-driven histopathologic tools, such as the computer histological AI biomarker, have demonstrated the ability to identify non-responders to standard therapy using whole-slide digital pathology images. In parallel, radiomics-enhanced imaging has shown promise in assessing tumor biology and immune microenvironment features predictive of BCG responsiveness. Liquid biopsy, especially urine tumor DNA analysis, is now available in the arsenal to detect minimal residual disease, stratify recurrence risk, and predict treatment response even before clinical or radiographic evidence of recurrence. Tissue-based genomic profiling has also revealed molecular alterations associated with treatment resistance, though additional validation is needed. Together, these next-generation biomarkers may represent a pivotal shift toward precision oncology in bladder cancer and their incorporation into NMIBC future clinical guidelines is both anticipated and necessary.

BCG-unresponsive disease↗

PubMed2003

Cerebrovascular risk factors in Alzheimer's disease: brain hemodynamics and pharmacogenomic implications.

Recent evidence indicates that different vascular risk factors are present in Alzheimer's disease (AD) and other prevalent dementia types probably contributing to deterioration of cerebrovascular function, thus enhancing neurodegeneration and premature neuronal death due to a reduction in brain perfusion. Brain blood flow shows a reduced velocity and increased pulsatility (PI) and resistance indices (RI) in different types of dementia and in diabetes and hypertension, as well. High levels of diastolic blood pressure correlate with diminished brain blood flow and elevated PI and RI, accompanied by cognitive deterioration. Nitric oxide (NO) levels are found increased in the sera and brain tissue of AD patients. Vascular risk factors (hyperglycemia, LDL-cholesterol, triglycerides, hypertension) and altered brain hemodynamic parameters correlate with APOE genotypes of which APOE-4/4 carriers represent the AD population with the highest cerebrovascular risk. In addition, the genomic profiles of patients with dementia integrating AD-related genes (APOE, PS1, PS2, cFOS) in a mini-tetragenic haplotype significantly differ from controls with an absolute genetic variation of about 50%-60%. Cerebrovascular dysfunction is a factor common to most types of dementia; however, genetic variation among different dementia types might be determinant for the activation of early vascular events inducing or accelerating neurodegeneration. In this regard, cerebrovascular dysfunction should be considered a potential therapeutic target in dementia.

Alzheimer Disease↗

PubMed2002

Human acute stem cell leukemia with multilineage differentiation potential via cascade activation of growth factor receptors.

The morphologic, immunophenotypic, genotypic, genomic, and functional features of an undifferentiated acute leukemia with stem cell features are reported. At light and electron microscopy, the leukemic population was represented by primitive progenitor cells with no evidence of differentiation. The blasts were CD34(+), AC133(+), CD71(-), HLA-DR(-), CD38(-/dim+), CD90(+), CD117(dim+), flt3(+); did not express B, T, or myeloid-associated antigens; and showed a germline configuration of the immunoglobulin and T-cell receptor. Genomic profiling documented the expression of early stem cell and myeloid-associated genes. Receptors for early-acting hemopoietic growth factors (HGFs) were detected, while receptors for unilineage HGF were not expressed. Incubation with the flt3 or Kit ligand induced the expression of unilineage HGF receptors, allowing these cells to respond to their respective ligands. Growth without differentiation was sustained only in the presence of early-acting HGF, namely flt3 ligand, while early and unilineage HGF gave rise to all types of hemopoietic colonies.

Acute Disease↗

PubMed2006

Spatial normalization of array-CGH data.

BACKGROUND: Array-based comparative genomic hybridization (array-CGH) is a recently developed technique for analyzing changes in DNA copy number. As in all microarray analyses, normalization is required to correct for experimental artifacts while preserving the true biological signal. We investigated various sources of systematic variation in array-CGH data and identified two distinct types of spatial effect of no biological relevance as the predominant experimental artifacts: continuous spatial gradients and local spatial bias. Local spatial bias affects a large proportion of arrays, and has not previously been considered in array-CGH experiments. RESULTS: We show that existing normalization techniques do not correct these spatial effects properly. We therefore developed an automatic method for the spatial normalization of array-CGH data. This method makes it possible to delineate and to eliminate and/or correct areas affected by spatial bias. It is based on the combination of a spatial segmentation algorithm called NEM (Neighborhood Expectation Maximization) and spatial trend estimation. We defined quality criteria for array-CGH data, demonstrating significant improvements in data quality with our method for three data sets coming from two different platforms (198, 175 and 26 BAC-arrays). CONCLUSION: We have designed an automatic algorithm for the spatial normalization of BAC CGH-array data, preventing the misinterpretation of experimental artifacts as biologically relevant outliers in the genomic profile. This algorithm is implemented in the R package MANOR (Micro-Array NORmalization), which is described at http://bioinfo.curie.fr/projects/manor and available from the Bioconductor site http://www.bioconductor.org. It can also be tested on the CAPweb bioinformatics platform at http://bioinfo.curie.fr/CAPweb.

Algorithms↗

PubMed2005

The development of common data elements for a multi-institute prostate cancer tissue bank: the Cooperative Prostate Cancer Tissue Resource (CPCTR) experience.

BACKGROUND: The Cooperative Prostate Cancer Tissue Resource (CPCTR) is a consortium of four geographically dispersed institutions that are funded by the U.S. National Cancer Institute (NCI) to provide clinically annotated prostate cancer tissue samples to researchers. To facilitate this effort, it was critical to arrive at agreed upon common data elements (CDEs) that could be used to collect demographic, pathologic, treatment and clinical outcome data. METHODS: The CPCTR investigators convened a CDE curation subcommittee to develop and implement CDEs for the annotation of collected prostate tissues. The draft CDEs were refined and progressively annotated to make them ISO 11179 compliant. The CDEs were implemented in the CPCTR database and tested using software query tools developed by the investigators. RESULTS: By collaborative consensus the CPCTR CDE subcommittee developed 145 data elements to annotate the tissue samples collected. These included for each case: 1) demographic data, 2) clinical history, 3) pathology specimen level elements to describe the staging, grading and other characteristics of individual surgical pathology cases, 4) tissue block level annotation critical to managing a virtual inventory of cases and facilitating case selection, and 5) clinical outcome data including treatment, recurrence and vital status. These elements have been used successfully to respond to over 60 requests by end-users for tissue, including paraffin blocks from cases with 5 to 10 years of follow up, tissue microarrays (TMAs), as well as frozen tissue collected prospectively for genomic profiling and genetic studies. The CPCTR CDEs have been fully implemented in two major tissue banks and have been shared with dozens of other tissue banking efforts. CONCLUSION: The freely available CDEs developed by the CPCTR are robust, based on "best practices" for tissue resources, and are ISO 11179 compliant. The process for CDE development described in this manuscript provides a framework model for other organ sites and has been used as a model for breast and melanoma tissue banking efforts.

Computational Biology↗

PubMed2025

Modulation of the tumor microenvironment by the ubiquitin-proteasome system in colorectal cancer.

BACKGROUND: Colorectal cancer (CRC) is a leading cause of cancer-related mortality worldwide, with the tumor microenvironment (TME) playing a pivotal role in its progression and therapeutic resistance. The ubiquitin-proteasome system (UPS), a central regulator of intracellular protein degradation, is increasingly recognized for its involvement in cancer pathogenesis, though its specific role in modulating the CRC TME remains to be fully elucidated. This review aims to systematically summarize current evidence on how the UPS influences the immunosuppressive network within the CRC TME and to evaluate its potential as a therapeutic target. METHODS: We conducted a comprehensive literature search in PubMed, Web of Science, and Scopus databases for original research articles and reviews published between January 2010 and August 2025, using keywords including "ubiquitin-proteasome system," "colorectal cancer," "tumor microenvironment,""immune escape,"and "targeted therapy." Studies were selected based on their relevance to UPS-mediated regulatory mechanisms in CRC TME remodeling, immune cell function, and treatment response. RESULTS: Our analysis of preclinical and clinical evidence reveals that the UPS critically regulates immune evasion in CRC through multiple mechanisms: (1) USP14 stabilizes indoleamine 2,3-dioxygenase 1 (IDO1), enhancing tryptophan catabolism and kynurenine accumulation, which suppresses T-cell activity; (2) E3 ligases including SPOP, C-Cbl, KLHL22, and FBW7 modulate PD-L1/PD-1 protein stability via ubiquitination, thereby influencing immune checkpoint signaling; and (3) ZFP91 facilitates K63-linked ubiquitination of PP2Ac, impairing mTORC1-mediated glycolysis in T cells and reinforcing regulatory T-cell immunosuppression. Additionally, the UPS intersects with key oncogenic pathways such as Wnt/β-catenin, NF-κB, and p53, further shaping the immunosuppressive landscape of CRC. CONCLUSIONS: Targeting the UPS represents a promising strategy to reverse immunosuppression and overcome therapy resistance in CRC. The primary advantage of this approach lies in its ability to simultaneously disrupt multiple immunosuppressive pathways within the TME, offering a potential solution to the limitations of single-target therapies. Current approaches include proteasome inhibitors, E3 ligase modulators, and deubiquitinating enzyme inhibitors, with combination regimens-such as UPS inhibitors with immune checkpoint blockade-showing synergistic efficacy in preclinical models. Future efforts should focus on enhancing the selectivity of UPS-targeting agents, minimizing off-target effects, and integrating genomic profiling to guide personalized treatment. While current evidence strongly supports the therapeutic potential of UPS targeting, its establishment as a reliable alternative therapy in the clinic will depend on overcoming these challenges and validating efficacy in human trials. This review underscores the UPS as a central regulator of the CRC TME and provides a rational basis for novel therapeutic development.

Humans↗

PubMed2025

Artificial intelligence in healthcare and medicine: clinical applications, therapeutic advances, and future perspectives.

Healthcare systems worldwide face growing challenges, including rising costs, workforce shortages, and disparities in access and quality, particularly in low- and middle-income countries. Artificial intelligence (AI) has emerged as a transformative tool capable of addressing these issues by enhancing diagnostics, treatment planning, patient monitoring, and healthcare efficiency. AI's role in modern medicine spans disease detection, personalized care, drug discovery, predictive analytics, telemedicine, and wearable health technologies. Leveraging machine learning and deep learning, AI can analyze complex data sets, including electronic health records, medical imaging, and genomic profiles, to identify patterns, predict disease progression, and recommend optimized treatment strategies. AI also has the potential to promote equity by enabling cost-effective, resource-efficient solutions in low-resource and remote settings, such as mobile diagnostics, wearable biosensors, and lightweight algorithms. Successful deployment requires addressing critical challenges, including data privacy, algorithmic bias, model interpretability, regulatory oversight, and maintaining human clinical oversight. Emphasizing scalable, ethical, and evidence-driven implementation, key strategies include clinician training in AI literacy, adoption of resource efficient tools, global collaboration, and robust regulatory frameworks to ensure transparency, safety, and accountability. By complementing rather than replacing healthcare professionals, AI can reduce errors, optimize resources, improve patient outcomes, and expand access to quality care. This review emphasizes the responsible integration of AI as a powerful catalyst for innovation, sustainability, and equity in healthcare delivery worldwide.

Humans↗

PubMed2026

Molecularly Guided Therapy Versus Continued Chemotherapy in Unfavorable Cancer of Unknown Primary: Updated Efficacy and Safety From the Randomized, Phase II CUPISCO Study.

CUPISCO (ClinicalTrials.gov identifier: NCT03498521) demonstrated longer progression-free survival (PFS) with comprehensive genomic profiling (CGP) and subsequent molecularly guided therapies (MGTs), versus standard platinum-based chemotherapy, in patients with previously untreated, unfavorable cancer of unknown primary (CUP) who reached disease control after induction chemotherapy (three cycles). We report efficacy and safety after >1 year of additional follow-up. Eligible patients were randomly assigned (3:1) to MGT (investigator-chosen after discussion in a molecular tumor board) or three further cycles of chemotherapy. The primary end point was PFS. Secondary end points included overall survival (OS) and safety. At data cutoff (December 6, 2024), 436 patients were randomly assigned (326 to MGT; 110 to chemotherapy). Median follow-up was 37.0 months (range, 0.0-67.8). Updated median PFS was 6.1 months (95% CI, 4.7 to 6.5) with MGT and 4.4 months (95% CI, 4.2 to 6.4) with chemotherapy (hazard ratio [HR], 0.75 [95% CI, 0.59 to 0.95]; P = .017); median OS was 15.2 months (95% CI, 13.9 to 18.4) and 12.8 months (95% CI, 9.8 to 15.4), respectively (HR, 0.79 [95% CI, 0.61 to 1.02]; P = .0689). No new safety signals were identified. These updated results aligned with the primary analysis, demonstrating the benefit of CGP with subsequent MGT and highlighting the importance of incorporating CGP at initial diagnosis to guide treatment decisions for patients with unfavorable CUP.

Journal Article↗

PubMed2026

Continuous Intrathecal Infusion of Nivolumab in Advanced Melanoma With Concomitant Leptomeningeal Disease: Efficacy, Safety, and Pharmacokinetics.

BACKGROUND AND OBJECTIVES: Prognosis of melanoma with leptomeningeal disease (LMD) is poor (median overall survival of 5.1 months). Intrathecal (IT) nivolumab appears safe, although its efficacy remains uncertain. We investigated the feasibility, safety, and efficacy of continuous IT nivolumab. METHODS: This was a retrospective analysis of 11 melanoma patients with progressive LMD (MelBase; NCT02828202) treated as part of the patients' care with continuous IT nivolumab administered through spinal (n = 10) or ventricular catheter (n = 1). RESULTS: Patients (5 women, median age 52) with Eastern Cooperative Oncology Group ≤1 (except for 1) and stable extracranial disease (except for 4) were treated over a median duration of 1.5 months and followed for 2.5 months. Seven presented symptomatic LMD. Primary tumors were mostly cutaneous (n = 8) and BRAF-mutated (n = 10). All patients had progressed on systemic immunotherapy; 7 had received brain radiotherapy (whole brain radiotherapy [n = 3]; stereotactic radiosurgery [n = 4]). Concomitant therapies included corticosteroids >10 mg (n = 5), intravenous nivolumab (first 3 months of IT therapy, n = 1), and targeted therapies (n = 7). The median overall survival was 2.5 months, with 3 patients surviving for more than a year. Reversible treatment-related adverse events occurred in 5 patients: meningoencephalitis (grade 3, n = 1), intracranial hemorrhage (grade 1, n = 1), intracranial hypotension (grade 2, n = 2; grade 1, n = 1). Baseline levels of nivolumab in the cerebrospinal fluid (CSF) were <2 µg/mL, even among patients with plasma detection. CSF concentrations of nivolumab at steady state varied from 36 to 97 µg/mL, with clearances of 4.3-15.7 mL/h. Next-generation sequencing identified CSF genomic profiles correlating with clinical progression in 4 patients. CONCLUSION: These findings warrant further trials on IT nivolumab.

Humans↗

PubMed2003

Discovery of genes with highly restricted expression patterns in the Drosophila wing disc using DNA oligonucleotide microarrays.

The Drosophila wing disc is divided along the proximal-distal axis into regions giving rise to the body wall (proximal), wing hinge (central) and wing blade (distal). We applied DNA microarray analysis to discover genes with potential roles in the development of these regions. We identified a set of 94 transcripts enriched (two fold or greater) in the body wall and 56 transcripts enriched in the wing/hinge region. Transcripts that are known to have highly restricted expression patterns, such as pannier, twist and Bar-H1 (body wall) and knot, nubbin and Distal-less (wing/hinge), showed strong differential expression on the arrays. In situ hybridization for 50 previously uncharacterized genes similarly revealed that transcript enrichment identified by the array analysis was consistent with the observed spatial expression. There was a broad spectrum of patterns, in some cases suggesting that the genes could be targets of known signaling pathways. We show that three of these genes respond to wingless signaling. We also discovered genes likely to play specific roles in tracheal and myoblast cell types, as these cells are part of the body wall fragment. In summary, the identification of genes with restricted expression patterns using whole genome profiling suggests that many genes with potential roles in wing disc development remain to be characterized.

Animals↗

PubMed2003

The effect of a single, temperature-sensitive mutation on global gene expression in Escherichia coli.

High-density DNA microarrays have been used to explore the genomic profiling of gene expression of a defective Escherichia coli strain with a temperature-sensitive mutation in the protein component of RNase P. A novel gene cluster was discovered in which two of the genes are known substrates of RNase P. The expression pattern of essential genes and gene discovery from intergenic regions, for which other new transcripts are found, are also discussed.

Bacterial Proteins↗

PubMed2025

Comparison of actionable alterations in cancers with kinase fusion, mutation, and copy number alteration.

Kinase-related gene fusion and point mutations play pivotal roles as drivers in cancer, necessitating optimized, targeted therapy against these alterations. The efficacy of molecularly targeted therapeutics varies depending on the specific alteration, with great success reported for such therapeutics in the treatment of cancer with kinase fusion proteins. However, the involvement of actionable alterations in solid tumors, especially regarding kinase fusions, remains unclear. Therefore, in this study, we aimed to compare the number of actionable alterations in patients with tyrosine or serine/threonine kinase domain fusions, mutations, and copy number alterations (CNAs). We analyzed 613 patients with 40 solid cancer types who visited our division between June 2020 and April 2024. Furthermore, to detect alterations involving multiple-fusion calling, we performed comprehensive genomic sequencing using FoundationOne® companion diagnostic (F1CDx) and FoundationOne® Liquid companion diagnostic (F1LCDx). Patient characteristics and genomic profiles were analyzed to assess the frequency and distribution of actionable alterations across different cancer types. Notably, 44 of the 613 patients had fusions involving kinases, transcriptional regulators, or tumor suppressors. F1CDx and F1LCDx detected 13 cases with kinase-domain fusions. We identified 117 patients with kinase-domain mutations and 58 with kinase-domain CNAs. The number of actionable alterations in patients with kinase-domain fusion, mutation, or CNA (median [interquartile range; IQR]) was 2 (1-3), 5 (3-7), and 6 (4-8), respectively. Patients with kinase fusion had significantly fewer actionable alterations than those with kinase-domain mutations and CNAs. However, those with fusion involving tumor suppressors tended to have more actionable alterations (median [IQR]; 4 [2-9]). Cancers with kinase fusions exhibited fewer actionable alterations than those with kinase mutations and CNAs. These findings underscore the importance of detecting kinase alterations and indicate the pivotal role of kinase fusions as strong drivers of cancer development, highlighting their potential as prime targets for molecular therapeutics.

Humans↗

PubMed2004

Monitoring eukaryotic gene expression using oligonucleotide microarrays.

An increasing number of biological and medical research questions depend on obtaining global views of gene expression. In this chapter, we will describe how oligonucleotide microarrays have been used to accomplish this goal. In particular, we will focus on the use of GeneChip arrays, which provide high levels of reproducibility, sensitivity, and specificity. Target preparation, hybridization, washing, signal detection, and data analysis will be described in detail. Additionally, we will discuss options for facilitating data sharing, including the creation of databases, and the use of internet tools that help users place their results in the context of data from public and proprietary databases. There is so much interest and innovation in the field of genomics that protocols are constantly evolving. This chapter should be used as a genomic profiling guide only. We urge readers to consult www.affymetrix.com for the most current products and protocols.

Animals↗

PubMed2005

Ovarian transcriptomes as a tool for a global approach of genes modulated by gonadotropic hormones in human ovarian granulosa cells.

Follicle-stimulating hormone (FSH) is a key stimulant for the development of the ovarian follicle, while luteinizing hormone (LH) plays a major role in triggering ovulation and luteinization. Both FSH and LH are glycoprotein hormones that share the same alpha subunit but bind to specific seven transmembrane-domain G coupled receptors located on the cell membrane of the granulosa cells, which comprise the main somatic population of the ovarian follicle. These hormone-receptor complexes may trigger different signaling cascades, but the entire repertoire of genes modulated by these hormones is far from being understood, in particular on the transcriptional level. The development of DNA micro-arrays technique, using the entire genome profile of some mammalian species, allows a global approach and screening of multiple signal transduction pathways. This method opened new insights into the cellular and molecular events that control ovulation and desensitization of the corpus luteum to hyperstimulation by gonadotropic hormones. In addition, this technique permitted the discovery of novel members of the EGF family, such as epiregulin and amphiregulin, that were found to be expressed in the gonadotropin-stimulated cells and were discovered to play a crucial role in the mechanism of ovulation. However, because of the pitfalls in interpreting the data other approaches, for example, Northern blots and RT-PCR must be conducted in parallel to verify the validity of the data.

Corpus Luteum↗

PubMed2005

Can we approach zero relapse in breast cancer?

Adjuvant hormonal therapy and adjuvant chemotherapy have contributed significantly to the falling rates of breast cancer mortality. The introduction of taxanes and aromatase inhibitors in the adjuvant setting represents recent important improvements. More recently, the demonstration of significant benefit in the adjuvant setting with novel molecular targeted therapies (such as trastuzumab [Herceptin; Genentech, Inc., South San Francisco, CA, http://www.gene.com]) is already beginning to have a substantial impact on the adjuvant treatment of patients with certain tumor characteristics (i.e., HER-2 positivity). Neoadjuvant treatment represents an approach that offers an intermediate end point (i.e., pathologic complete response) that can be used as a marker of therapeutic activity. Furthermore, the use of genomic profiling is starting to replace the traditional prognostic and predictive factors currently used to estimate risks for recurrence and response to particular adjuvant therapies. These recent developments have demonstrated that the notion of approaching zero relapse in breast cancer patients is now within our reach.

Antineoplastic Agents, Hormonal↗

PubMed2026

Landscape of acquired resistance alterations in gastrointestinal malignancies after genomically targeted therapy.

BACKGROUND: Targeted therapies directed at specific genomic alterations have transformed the management of gastrointestinal (GI) cancers; however, acquired resistance remains inevitable. Circulating tumor DNA (ctDNA) analysis via liquid biopsy provides a non-invasive approach to characterize genomic mechanisms of resistance. We therefore evaluated patterns of acquired genomic resistance in patients with GI cancers treated with targeted therapies. METHODS: Patients with GI cancers treated with standard of care or investigational therapies targeting EGFR, HER2, FGFR, MET, KRAS, BRAF for at least 60 days who underwent both baseline comprehensive genomic profiling and post-progression ctDNA sequencing were retrospectively evaluated. RESULTS: Of 106 patients meeting inclusion criteria, 45 had biliary tract cancer (BTC), 42 colorectal cancer (CRC), and 19 other GI malignancies. At least one putative resistance-associated alteration was detected in ctDNA in 53% of cases. Resistance patterns were heterogeneous with 47% showing no detectable alterations and 33% harboring ≥2 resistance alterations. Among 164 total alterations, the majority were single nucleotide variants (82%), followed by amplifications (17%). Overall, 48% were classified as 'bypass' alterations-activating alternative oncogenic pathways, most commonly MAPK signaling-while 52% were 'on-target' alterations involving secondary changes within the drug target. RAS alterations represented a key mechanism of bypass resistance, accounting for 28% of all resistance alterations. Interestingly, in CRC, bypass alterations predominated (69%), whereas in BTCs, on-target alterations were more frequent (61%). CONCLUSIONS: Liquid biopsies frequently identify acquired resistance following targeted therapy across GI cancers, often revealing multiple concurrent alterations. Patterns of resistance varied by tumor type, with both on-target and bypass mechanisms observed. These findings highlight common themes of resistance and support the growing clinical role of ctDNA analysis in defining resistance and guiding management in GI malignancies.

Gastrointestinal malignancies↗

PubMed2005

Molecular diagnostic assays for cervical neoplasia: emerging markers for the detection of high-grade cervical disease.

The accurate detection and diagnosis of cervical carcinoma and its malignant precursors (collectively referred to as high-grade cervical disease) represents one of the current challenges in clinical medicine and cytopathology. The advent of molecular diagnostics and the use of whole-genome profiling using DNA microarrays promises to yield improved understanding of the disease process with the subsequent development of more accurate diagnostic procedures based upon these discoveries. Recent reports describing a variety of experimental approaches have identified a series of candidate genes that are overexpressed in cervical carcinoma. In this article, representative examples of these markers and the resulting translational research will be reviewed within the context of improved cervical disease detection. An emerging class of markers, the minichromosome maintenance protein family of DNA licensing factors (MCM-2, MCM-6, MCM-7), shows promise for the specific detection of high-grade cervical disease using simple antibody-based immunochemistry formats. These proteins are overexpressed in cervical disease as a result of infection by oncogenic strains of human papillomavirus (HPV) and subsequent uncontrolled activation of gene transcription and aberrant S-phase induction, mediated through the E2F transcription factor pathway. This behavior appears to be a hallmark of high-grade cervical disease and provides the link between oncogenic HPV infections and the molecular behavior of cervical neoplasia (CN). The use of these molecular descriptors of CN in simple immunochemistry formats compatible with conventional cytology preparations is anticipated to improve the screening and detection of cervical disease within the healthcare system.

Biomarkers↗