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At least 325 records · Page 18Linked to original sources
PubMed2026

Genetic mutations in metastatic adenocarcinoma of unknown primary.

INTRODUCTION: Although several genomic alterations have been reported in adenocarcinoma of unknown primary (ACUP), molecularly targeted therapies are not yet clinically established, and comprehensive genomic profiling (CGP) is rarely used in daily practice. AIM: We aimed to clarify the molecular landscape and prognostic impact of key mutations in recurrent or metastatic ACUP. MATERIALS AND METHODS: Data from 480 consecutive ACUP patients registered in Japan's National Cancer Center (C-CAT) between June 2019 and August 2025 were analyzed. Somatic mutations were identified using the FoundationOne CDx platform. Overall survival (OS) was assessed by Kaplan-Meier analysis, log-rank tests, and multivariate Cox proportional hazards modeling. RESULTS: The most frequent alterations were TP53 (59.4%), KRAS (31.5%), CDKN2A (26.3%), KMT2D (22.3%), LTK (17.9%), NOTCH3 (16.9%), STK11 (16.3%), CDKN2B (15.8%), ERBB2 (15.4%), and GNAS (15.2%). Patients harbored an average of 17.3 9.9 mutations. Mutations in GNAS (p = 0.046) and PIK3CA (p = 0.025) were associated with better OS, whereas ARID1A (p = 0.049) and NOTCH1 (p = 0.038) predicted worse OS. In Cox analysis, hazard ratios (HR [95% CI]) were 0.57 (0.36-0.92, p = 0.020) for GNAS, 0.57 (0.33-0.96, p = 0.033) for PIK3CA, 1.98 (1.27-3.09, p = 0.0024) for ARID1A, and 1.84 (1.17-2.91, p = 0.0090) for NOTCH1. CONCLUSIONS: GNAS and PIK3CA mutations were linked to favorable outcomes, while ARID1A and NOTCH1 alterations indicated poor prognosis in ACUP. These results highlight the prognostic significance of specific genomic alterations and support integrating CGP into the clinical management of ACUP.

Humans↗
PubMed2026

Real-World Outcomes of Olaparib in Japanese Patients With BRCA-Mutated Metastatic Castration-Resistant Prostate Cancer: Exploratory Analysis of BRCA2 Loss and Microsatellite Instability Status.

OBJECTIVES: Metastatic castration-resistant prostate cancer has a poor prognosis. Although olaparib has demonstrated efficacy in patients with BRCA1/2 mutations, real-world data in Japanese patients remain limited. We aimed to evaluate the efficacy and safety of olaparib in patients with BRCA-mutated metastatic castration-resistant prostate cancer and explore the association of BRCA2 loss and microsatellite instability status with treatment outcomes. METHODS: We conducted a multicenter retrospective study of 34 patients with BRCA-mutated metastatic castration-resistant prostate cancer treated with olaparib between December 2020 and December 2024. The primary endpoint was progression-free survival. Secondary endpoints included overall survival, prostate-specific antigen-50 response rate, and safety. Exploratory analyses were performed. RESULTS: Among the 34 patients, 33 had a BRCA2 mutation and one had a BRCA1 mutation. Prostate-specific antigen reduction was observed in 76.4% of patients; prostate-specific antigen-50 response rate was 58.8%. Median progression-free and overall survival were 15.8 and 35.1 months, respectively. Grade ≥ 3 adverse events (most commonly anemia) occurred in 17.6% of patients. Treatment discontinuation due to adverse events occurred in one patient. Exploratory analyses were performed in 23 BRCA2-mutated patients who underwent comprehensive genomic profiling. BRCA2 loss was observed in 39.1% of patients and showed a trend toward prolonged progression-free survival, whereas microsatellite instability-high status was observed in 13.0% and was associated with shorter progression-free survival. CONCLUSIONS: Olaparib demonstrated efficacy and safety in Japanese patients with BRCA-mutated metastatic castration-resistant prostate cancer. Exploratory analyses revealed that BRCA2 loss may be associated with prolonged progression-free survival, whereas microsatellite instability-high status may be associated with shorter progression-free survival. These findings require validation in larger cohorts.

Humans↗
PubMed2004

Pregnancy-associated changes in genome-wide gene expression profiles in the liver of cow throughout pregnancy.

The objective of the present study was to fabricate and use a bovine liver complementary DNA (cDNA) microarray to profile genome-wide gene expressions in the liver of cow throughout pregnancy. A cDNA library was prepared from liver total RNA collected from cows during estrous cycle and pregnancy, and from fetuses at different stages of pregnancy. The sequenced clones were compiled and annotated by basic local alignment search tool (BLASTn) and spotted onto glass slides. The annotated liver array represented 2675 genes. Of which, 1442 were known genes while 617 sequences had matches with sequences found in expressed sequence tags databases. In addition, 616 unknown sequences were found and these sequences may possibly be identified as candidates for novel bovine genes. For gene expression profiling studies, total RNA from livers of cows slaughtered on days 19, 27-28, 49-58, 150, and 245 of pregnancy (test RNAs) was separately reverse transcribed and labeled with either cyanine 5-fluorescent dye (Cy5) or Cy3. The test samples were individually compared with liver total RNA collected from nonpregnant cycling cows (control RNA) after reverse transcription and labeling with the opposite dye following a two-color hybridization method. After scanning, image acquisition, and normalization, genes that showed either more than 1.5-fold (test/control) induction or repression were selected for further analyses. Hierarchical clustering algorithm showed a clear induction of most liver genes on days 27-28 of pregnancy. Self-organizing maps algorithm identified groups of genes whose differential expression patterns were similar across pregnancy. In conclusion, we described fabrication of a bovine liver cDNA microarray, and demonstrate, for the first time, differential expression patterns of a large number of coregulated liver genes in parallel throughout pregnancy in the bovine.

Algorithms↗
PubMed2002

Pimecrolimus identifies a common genomic anti-inflammatory profile, is clinically highly effective in psoriasis and is well tolerated.

The ascomycin macrolactam pimecrolimus is a novel inflammatory cytokine release inhibitor that so far has not been administered systemically to humans. In this phase I/II randomized double-blind, placebo-controlled, multiple rising dose proof of concept study psoriasis patients were treated with oral pimecrolimus or placebo. Gene profiling identified a common genomic profile with a downregulation of genes associated with inflammation but no changes in gene expression linked to drug-related side-effects. A steady state of pimecrolimus was reached after 5-10 d, Cmax, and area under the curve (0-24) was 54.5 ng per ml and 589.9 ng h per ml, respectively, at steady state at the highest dose. There was clear clinical efficacy in patients receiving 20 mg pimecrolimus twice daily and 30 mg twice daily with a reduction of Psoriasis Area and Severity Index by 60% and 75%, respectively. Histopatho logically and immunopathologically there was a reversion of the psoriatic phenotype towards normal. There were no notable clinical, laboratory, kidney function, or immunologic side-effects. We conclude that pimecrolimus taken orally is highly effective in a concentration-dependent manner in patients with psoriasis and on a short-term basis it is well tolerated and this is confirmed by its pharmacogenomic profile. The latter also indicates that pimecrolimus should be equally effective in other inflammatory skin diseases.

Adult↗
PubMed2003

Integration of proteomics and genomics in platelets: a profile of platelet proteins and platelet-specific genes.

Platelets, while anucleate, contain RNA, some of which is translated into protein upon activation. Hypothesising that the platelet proteome is reflected in the transcriptome, we identified 82 proteins secreted from activated platelets and compared these, as well as published proteomic data, to the transcriptional profile. We also compared the transcriptome of platelets to other tissues to identify platelet-specific genes and used ontology to determine gene categories over-represented in platelets. RNA was isolated from highly pure platelet preparations for hybridization to Affymetrix oligonucleotide arrays. We identified 2,928 distinct messages as being present in platelets. The platelet transcriptome was compared with the proteome by relating both to UniGene clusters. Platelet proteomic data correlated well with the transcriptome, with 69% of secreted proteins detectable at the mRNA level, and similar concordance was obtained using two published datasets. While many of the most abundant mRNAs are for known platelet proteins, messages were detected for proteins not previously reported in platelets. Some of these may represent residual megakaryocyte messages; however, proteomic analysis confirmed the expression of many previously unreported genes in platelets. Transcripts for well-described platelet proteins are among the most platelet-specific messages. Ontological categories related to signal transduction, receptors, ion channels, and membranes are over-represented in platelets, while categories involved in protein synthesis are depleted. Despite the absence of gene transcription, the platelet proteome is mirrored in the transcriptome. Conversely, transcriptional analysis predicts the presence of novel proteins in the platelet. Transcriptional analysis is relevant to platelet biology, providing insights into platelet function and the mechanisms of platelet disorders.

Blood Platelets↗
PubMed1986

Definition of two new groups of atypical rotaviruses.

Comparative antigenic and nuclei acid analyses were carried out on two new atypical rotavirus isolates coming respectively from chickens (D/132) and pigs (E/DC-9). Indirect immunofluorescence showed that each virus carried different group antigens which were also distinct from those of previously described rotavirus groups. By genome profile analysis each virus had a pattern of genomic RNAs clearly distinct from those of the other rotavirus groups. Comparative terminal fingerprinting of corresponding genome segments from the two viruses showed large differences between them, indicating that all of their genomic RNAs had significant differences in sequence both from each other and from the three previously defined rotavirus groups. On the basis of these results, extension of the number of rotavirus groups from three to five is proposed, with isolates D/132 and E/DC-9 being the type members of groups D and E respectively.

Animals↗
PubMed2026

Genomic Medicine Sweden: Advancing precision medicine at the national level.

High-throughput sequencing has transformed clinical diagnostics of rare diseases (RD), cancer and infectious diseases by enabling the identification of disease-causing genetic alterations and facilitating individualised treatment and care. In response to these advances, Genomic Medicine Sweden (GMS) was established in 2017 as a national collaborative effort to accelerate implementation of genomics-based precision medicine within Sweden's regionally organized, publicly funded healthcare system. GMS brings together the seven university healthcare regions and their associated medical faculties, in collaboration with healthcare regions across Sweden, Science for Life Laboratory, patient organizations, industry and governmental agencies. Activities are coordinated through national disease-specific expert groups, supported by cross-cutting functions in bioinformatics, health economics, ethics, education and patient engagement. At the operational level, seven Genomic Medicine Centres, embedded at university hospitals, develop and deliver harmonised genomic diagnostics nationwide. The National Genomics Platform provides secure infrastructure for large-scale data storage, analysis, and national and international data sharing. Following initial project-based funding, GMS now receives long-term governmental support. This review describes the national implementation of genomic-based precision diagnostics, discusses challenges and lessons learnt, and highlights key milestones across disease areas, including whole-genome sequencing in RD and paediatric cancer, comprehensive genomic profiling of haematological malignancies and solid tumours, pathogen genomics in microbiology, pharmacogenomic testing and emerging applications of polygenic risk scores in complex diseases. Collectively, these efforts have contributed to more than 500,000 genomic tests being performed within Swedish healthcare between 2017 and 2025. Finally, we outline future diagnostic needs and priority areas to ensure sustainable, scalable and equitable access to precision medicine.

Precision Medicine↗
PubMed2026

Patient-derived organoids predict responses to chemotherapy and PARP inhibitors in advanced ovarian cancer.

BACKGROUND: While tumor organoids hold promise for personalized medicine, clinical validation of epithelial ovarian cancer (EOC) organoids as predictors of therapeutic efficacy-particularly for PARP inhibitors (PARPi)-remains unestablished. METHODS: Patient-derived organoids (PDOs) were established from treatment-naive EOC specimens and characterized by H&E staining, immunohistochemistry, and whole-exome sequencing. Drug sensitivity testing (DST) was performed using carboplatin, paclitaxel, and PARPi (olaparib and niraparib). Clinical homologous recombination deficiency (HRD) status was assessed by tumor sequencing. Organoid responses were prospectively compared to patient outcomes after first-line chemotherapy (carboplatin/paclitaxel) and PARPi maintenance. RESULTS: PDOs were successfully established from 21 of 30 patients (70%) across multiple EOC subtypes and preserved the histopathological features and genomic landscapes of their corresponding primary tumors. Organoid-based DST accurately predicted responses to first-line carboplatin/paclitaxel, with a sensitivity of 100% (95% CI 62.88-100%), specificity of 66.67% (95% CI 12.53-98.23%), accuracy of 91.67% (95% CI 61.52-99.79%), AUC of 0.95 (95% CI 0.85-1.00), and Cohen's kappa of 0.75 (95% CI 0.30-1.00). In evaluating PARPi response, organoids revealed discrepancies between genomic HRD status and actual drug responses. One HRD-positive PDO was PARPi-resistant, consistent with patient non-response, while two HRR-proficient PDOs showed PARPi sensitivity and corresponding clinical benefit. CONCLUSIONS: EOC-derived PDOs provide a robust platform for predicting chemotherapy response and offer added value in assessing PARPi efficacy beyond genomic profiling. Combination of organoid-based testing with genomic analysis may improve precision treatment strategies in EOC.

Humans↗
PubMed2002

Telomere dysfunction provokes regional amplification and deletion in cancer genomes.

Telomere dysfunction and associated fusion-breakage in the mouse encourages epithelial carcinogenesis and a more humanized genomic profile that includes nonreciprocal translocations (NRTs). Here, array comparative genomic hybridization was used to determine the pathogenic significance of NRTs and to determine whether telomere dysfunction also drives amplifications and deletions of cancer-relevant loci. Compared to tumors arising in mice with intact telomeres, tumors with telomere dysfunction possessed higher levels of genomic instability and showed numerous amplifications and deletions in regions syntenic to human cancer hotspots. These observations suggest that telomere-based crisis provides a mechanism of chromosomal instability, including regional amplifications and deletions, that drives carcinogenesis. This model provides a platform for discovery of genes responsible for the major cancers affecting aged humans.

Animals↗
PubMed2026

Case Report: Pancreatic amphicrine-like carcinoma with acinar differentiation harboring a KANK4-RAF1 gene fusion.

Pancreatic amphicrine-like carcinoma (ALC) is an exceptionally rare neoplasm characterized by simultaneous exocrine and endocrine differentiation within the same tumour cells. These tumours represent a diagnostic challenge because they must be distinguished from mixed neuroendocrine-non-neuroendocrine neoplasms (MiNENs), which consist of morphologically distinct tumour components. We report a case of pancreatic ALC with acinar differentiation harboring a KANK4::RAF1 fusion identified by comprehensive genomic profiling. Histologically, the tumour demonstrated acinar differentiation with expression of trypsin and BCL10 together with neuroendocrine differentiation characterized by synaptophysin and INSM1 expression within the same neoplastic population. Molecular analysis revealed a RAF1 rearrangement, a potentially actionable alteration previously described in a subset of pancreatic acinar carcinomas. The patient showed rapid disease progression despite systemic chemotherapy. Treatment with the MEK inhibitor trametinib was initiated based on the presence of a RAF1 fusion but was discontinued after 1 month because of toxicity, preventing assessment of therapeutic efficacy. This case expands the molecular spectrum of pancreatic ALC with acinar differentiation and highlights the importance of comprehensive molecular profiling in rare pancreatic neoplasms to identify potentially actionable genomic alterations.

Humans↗
PubMed1998

Antigenic and genomic homogeneity of successive Mycoplasma hominis isolates.

Sixty Mycoplasma hominis isolates were obtained from the cervices of pregnant women and from the ears or pharynges of their newborn babies. The isolates were examined by SDS-PAGE and pulsed-field gel electrophoresis. Antigenic and genomic profiles were obtained for 16 series with two or more successive isolates. Both analyses led to the conclusion that isolates from the same woman were identical or nearly identical, while isolates from different women exhibited a high degree of variation with respect to both genomic and antigenic profiles.

Antigenic Variation↗
PubMed2004

Genomic and expression profiling of chromosome 17 in breast cancer reveals complex patterns of alterations and novel candidate genes.

Chromosome 17 is severely rearranged in breast cancer. Whereas the short arm undergoes frequent losses, the long arm harbors complex combinations of gains and losses. In this work we present a comprehensive study of quantitative anomalies at chromosome 17 by genomic array-comparative genomic hybridization and of associated RNA expression changes by cDNA arrays. We built a genomic array covering the entire chromosome at an average density of 1 clone per 0.5 Mb, and patterns of gains and losses were characterized in 30 breast cancer cell lines and 22 primary tumors. Genomic profiles indicated severe rearrangements. Compiling data from all samples, we subdivided chromosome 17 into 13 consensus segments: 4 regions showing mainly losses, 6 regions showing mainly gains, and 3 regions showing either gains or losses. Within these segments, smallest regions of overlap were defined (17 for gains and 16 for losses). Expression profiles were analyzed by means of cDNA arrays comprising 358 known genes at 17q. Comparison of expression changes with quantitative anomalies revealed that about half of the genes were consistently affected by copy number changes. We identified 85 genes overexpressed when gained (39 of which mapped within the smallest regions of overlap), 67 genes underexpressed when lost (32 of which mapped to minimal intervals of losses), and, interestingly, 32 genes showing reduced expression when gained. Candidate genes identified in this study belong to very diverse functional groups, and a number of them are novel candidates.

Breast Neoplasms↗
PubMed2006

Genome-wide microRNA profiling in human fetal nervous tissues by oligonucleotide microarray.

OBJECTS: Our objective was to develop an oligonucleotide DNA microarray (OMA) for genome-wide microRNA profiling and use this method to find miRNAs, which control organic development especially for nervous system. MATERIALS AND METHODS: Eighteen organic samples included cerebrum and spinal cord samples from two aborted human fetuses. One was 12 gestational weeks old (G12w) and the other was 24 gestational weeks old (G24w). Global miRNA expression patterns of different organs were investigated using OMA and Northern blot. CONCLUSION: The OMA revealed that 72-83% of miRNAs were expressed in human fetal organs. A series of microRNAs were found specifically and higher-expressed in the human fetal nervous system and confirmed consistently by Northern blot, which may play a critical role in nervous system development.

Age Factors↗
PubMed2006

Transcriptional profiling and functional genomics reveal a role for AHR transcription factor in nephrogenesis.

Transcriptional profiling and functional genomics experiments using E11.5 metanephros organ cultures from Ahr(-/-) and Ahr(+/+) have shown that aryl hydrocarbon receptor (AHR) transcription factor is involved in the regulation of mesenchymal-to-epithelial transition (MET) during nephrogenesis. This response is mediated by alterations in the post-transcriptional control of Wilms' tumor suppressor (Wt1) gene and Wt1 splicing. In this article, biologically relevant gene predictor sets of the nephrogenic response were calculated for target genes of interest. The predictability of the gene set for each target was quantified by the coefficient of determination which provided a good criterion for identification of predictor sets that define the complex gene-gene interactions co-regulated by Ahr and Wt1. A subset of the signature genes was found to be co-regulated by Ahr and Wt1 and was responsible for shifts in renal cell transdifferentiation.

Animals↗
PubMed2006

Array-comparative genomic hybridization to detect genomewide changes in microdissected primary and metastatic oral squamous cell carcinomas.

Oral squamous cell carcinoma (OSCC) is a common worldwide malignancy. However, it is unclear what, if any, genomic alterations occur as the disease progresses to invasive and metastatic OSCC. This study used genomewide array-CGH in microdissected specimens to map genetic alterations found in primary OSCC and neck lymph node metastases. We used array-based comparative genomic hybridization (array-CGH) to screen genomewide alterations in eight pairs of microdissected tissue samples from primary and metastatic OSCC. In addition, 25 primary and metastatic OSCC tissue pairs were examined with immunohistochemistry for protein expression of the most frequently altered genes. The highest frequencies of gains were detected in LMYC, REL, TERC, PIK3CA, MYB, MDR1, HRAS, GARP, CCND2, FES, HER2, SIS, and SRY. The highest frequencies of losses were detected in p44S10, TIF1, LPL, MTAP, BMI1, EGR2, and MAP2K5. Genomic alterations in TGFbeta2, cellular retinoid-binding protein 1 gene (CRBP1), PIK3CA, HTR1B, HRAS, ERBB3, and STK6 differed significantly between primary OSCC and their metastatic counterparts. Genomic alterations in PRKCZ, ABL1, and FGF4 were significantly different in patients who died compared with those who survived. Immunohistochemistry confirmed high PIK3CA immunoreactivity in primary and metastatic OSCC. Higher FGF4 immunoreactivity in primary OSCC is associated with a worse prognosis. Loss of CRBP1 immunoreactivity is evident in primary and metastatic OSCC. Our study suggests that precise genomic profiling can be useful in determining gene number changes in OSCC. As our understanding of these changes grow, this profiling may become a practical tool for clinical evaluation.

Adult↗
PubMed2026

The molecular similarity landscape of preclinical cancer models to patient tumors.

Selecting appropriate preclinical models is fundamental for translational oncology, yet a large-scale, multi-omic quantitative comparison of their similarity to primary human tumors is lacking. To address this, we integrated transcriptomic, proteomic, and genomic profiles from over 10,000 primary tumors from The Cancer Genome Atlas (TCGA) and the Clinical Proteomic Tumor Analysis Consortium (CPTAC), alongside 4,000 preclinical models. Using a robust computational framework, we revealed a clear hierarchy of transcriptomic and proteomic similarity to patient tumors: with patient-dervied xenografts (PDXs) having greater transcriptomic and proteomic similarity to patient tumors (>) compared with patient-derived organoids (PDOs), which are equal in hierarchy to that of PDX-dervied organoids (PDXOs) > cell lines. We also quantified high molecular conservation (Pearson correlation coefficient = 0.96) across paired in vitro to in vivo platform (organoids to PDX) transitions. Furthermore, genomic analysis demonstrated that whole-exome sequencing (WES) outperforms RNA-seq in detecting DNA variants, and it identified a clonal complexity hierarchy (cell lines > PDXOs > PDXs > PDOs) reflecting the effect of passaging history on intratumor heterogeneity. Ultimately, this study delivers a comprehensive quantitative benchmark, establishing a population-level hierarchy of molecular similarity between preclinical models and primary tumors and providing a data-driven reference for model selection. These findings offer a data-driven framework for selecting models that balance biological representativeness with experimental practicality.

Humans↗
PubMed2000

100th American society for microbiology annual meeting.

The 100th ASM Annual Meeting, attended by approximately 10,000 delegates, continued the trend of concentrating on bacteria and antibacterial therapy, mixed with genomics and a diverse number of additional topics. Of the various marketable drug classes, the quinolones received attention with respect to susceptibility studies and several drug comparison studies. New marketable drugs were also of interest, especially given the reservoirs of resistance presented by several speakers. Drugs in development include the antibacterial daptomycin and protegrins and the antifungal lipodepsinonapeptides and echinocandins, to name a few. It is still unclear whether or not antibiotic treatment regimens for Chlamydia pneumonia will he necessary, as association of this bacteria with several chronic diseases, such as atherosclerosis and asthma, was discussed. The development of novel antibiotics was highlighted and the potential role that microbial genomics technology could play was a recurring theme. In fact, a number of symposia treated the increasingly popular topic of genomics in a variety of themes, including phenotyping arrays, transcriptional profiling, proteomics, expression profiling, genome sequencing, target areas or essentiality of genes via gene knockout systems, the role of genomics in pharmaceutical development and fungal genomics. Similarly, genomics plays a role in developing a deeper appreciation for classical areas of interest in microbial physiology, such as gene regulation, cell division, fatty acid biosynthesis, DNA replication and cell signalling. Even in the bio-inorganic field of study in microbial metabolite activation, genomics plays a role. The sequencing of the large gene clusters of the auxiliary proteins necessary to synthesise or activate the metallo-proteins provided insights into the mechanisms of activation of these microbial enzymes, including the genes for the nif gene cluster in Azotobacter vinelandii, the urease from Kiebsiella aerogenes and the three hydrogenases in Ralstonia eutropha.

Anti-Bacterial Agents↗