Expanding the Spectrum of Sarcoma with an Internal Tandem Duplication of BCOR: A Non-Pediatric Nasosinusal Case.

INTRODUCTION: Undifferentiated small round-cell sarcomas with BCL6 corepressor (BCOR) alterations, such as an internal tandem duplication (ITD) within exon 15, are typically described as a pediatric group of Ewing-like small round-cell sarcomas. CASE PRESENTATION: In contrast to this notion, we report the case of a 71-year-old woman with a nasosinusal sarcoma featuring a BCOR ITD. To the best of our knowledge, this presence had not been previously documented in a sarcoma of the nasal and sinus cavities in an elderly patient. The identified duplication shares a similar minimal critical region as described in clear-cell sarcomas of the kidney in children. This alteration, located within the PCGF1 binding domain, is believed to disrupt the activity of PRC1.1. CONCLUSION: This case underscores the need for in-depth research into the molecular biology of these rare tumors and explores potential alternative treatment options. The patient achieved remission after two cycles of doxorubicin and cyclophosphamide chemotherapy, highlighting the promise of potential therapeutic options for BCOR ITD sarcomas.

A Bioinformatics Toolkit for Next-Generation Sequencing in Clinical Oncology.

Next-generation sequencing (NGS) has taken on major importance in clinical oncology practice. With the advent of targeted therapies capable of effectively targeting specific genomic alterations in cancer patients, the development of bioinformatics processes has become crucial. Thus, bioinformatics pipelines play an essential role not only in the detection and in identification of molecular alterations obtained from NGS data but also in the analysis and interpretation of variants, making it possible to transform raw sequencing data into meaningful and clinically useful information. In this review, we aim to examine the multiple steps of a bioinformatics pipeline as used in current clinical practice, and we also provide an updated list of the necessary bioinformatics tools. This resource is intended to assist researchers and clinicians in their genetic data analyses, improving the precision and efficiency of these processes in clinical research and patient care.

Differential Sensitivity of Germline and Somatic BRCA Variants to PARP Inhibitor in High-Grade Serous Ovarian Cancer.

PURPOSE: The introduction of PARP inhibitors (PARPis) as a treatment option for patients with high-grade serous ovarian cancer (HGSOC) modified the approach of BRCA testing worldwide. In this study, we aim to evaluate the impact of BRCA1 and BRCA2 variants on treatment response and survival outcomes in patients diagnosed in our institution. METHODS: A total of 805 HGSOC samples underwent BRCA1 and BRCA2 variant detection by using next-generation sequencing (NGS). Among them, a pathogenic alteration was detected in 104 specimens. Clinicopathological features and germline status were recovered, and alteration types were further characterized. The clinical significance of variant type in terms of response to chemotherapy and to PARPis as well as overall survival were evaluated using univariate analysis. RESULTS: In our cohort, 13.2% of the HGSOC samples harbored a pathogenic BRCA1 or BRCA2 variant, among which 58.7% were inherited. No difference was observed between germline and somatic variants in terms of the gene altered. Interestingly, patients with somatic variants only (no germline) demonstrated better outcomes under PARPi treatment compared to those with germline ones. CONCLUSION: The determination of the inheritance or acquisition of BRCA1 and BRCA2 alterations could provide valuable information for improving management strategies and predicting the outcome of patients with HGSOC.

Determination of the Optimal Bacterial DNA Extraction Method to Explore the Urinary Microbiota.

Recent advances in molecular biology have been successfully applied to the exploration of microbiota from various fluids. However, the urinary microbiota remains poorly explored, as its analysis requires specific technical considerations. Indeed, urine is a low microbial biomass environment, in which the representativity of each bacterium must be respected to obtain accurate data. Thus, sensitive extraction methods must be used to obtain good quality DNA while preserving the proportions between species. To address this, we compared the efficiency of five extraction methods on artificial urine samples spiked with low amounts of four bacteria species. The quality of the DNA obtained was further evaluated by different molecular biology approaches, including quantitative PCR and amplicon-based next-generation sequencing (NGS). Although two extraction methods allowed DNA of sufficient quality for NGS analysis to be obtained, one kit extracted a larger amount of DNA, which is more suitable for the detection of low-abundant bacteria. Results from the subsequent assessment of this kit on 29 human clinical samples correlated well with results obtained using conventional bacterial urine culture. We hope that our work will make investigators aware of the importance of challenging and adapting their practice in terms of the molecular biology approaches used for the exploration of microbiota.

MIAmS: microsatellite instability detection on NGS amplicons data.

MOTIVATION: Microsatellite instability (MSI) is a molecular marker of DNA mismatch repair deficiency frequently at play in oncogenesis. MSI testing is used for diagnostic, prognostic and therapeutic purposes in several cancers. The current gold standard analysis for microsatellite status is based on length distribution analysis of multiplex-PCR generated DNA fragments from tumor samples which is a laborious and time consuming method. Next generation sequencing (NGS) using amplicon panels is an easy, accurate and scalable technique to determine both the microsatellite status and tumor genome mutations at the same time. Here, we describe MIAmS, an application designed to tag microsatellite status from amplicon NGS of tumor samples. Interestingly, this tool does not require paired normal tissue for comparison. In addition, this scalable application provides a user-friendly report for the interpretation of the results by biologists and exhibits a strong accuracy and robustness for determination of the MSI status. AVAILABILITY: https://github.com/bialimed/miams. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online, evaluation data are available at http://www.ebi.ac.uk/ena/data/view/PRJEB31725.

Alu element insertion in the MLH1 exon 6 coding sequence as a mutation predisposing to Lynch syndrome.

Lynch syndrome (LS) is the most frequent cause of hereditary colorectal cancer. A subset of patients with a history of LS shows no causal germline pathogenic alteration and are identified as having Lynch-like syndrome (LLS). Alu retrotransposons are the most abundant mobile DNA sequences in the human genome and have been associated with numerous human cancers by either disrupting coding regions or altering epigenetic modifications or splicing signals. We report a family first classified as having LLS by Sanger sequencing analysis. Next-generation sequencing (NGS) analysis identified an AluY5a insertion in MLH1 exon 6 that led to exon skipping. This splicing alteration inducing a pathogenic frameshift was found in patients who developed colorectal adenocarcinomas. Retroelement insertion might thus be an important but underestimated mechanism of cancer genetics that could be systematically tested in patients with a phenotype suggesting LS to accurately assess family risk and surveillance approaches.

Protein interactions study through proximity-labeling.

Introduction: The proteome is a dynamic system in which protein-protein interactions play a crucial part in shaping the cell phenotype. However, given the current limitations of available technologies to describe the dynamic nature of these interactions, the identification of protein-protein interactions has long been a major challenge in proteomics. In recent years, the development of BioID and APEX, two proximity-tagging technologies, have opened-up new perspectives and have already started to change our conception of protein-protein interactions, and more generally, of the proteome. With a broad range of application encompassing health, these new technologies are currently setting milestones crucial to understand fine cellular mechanisms. Area covered: In this article, we describe both the recent and the more conventional available tools to study protein-protein interactions, compare the advantages and the limitations of these techniques, and discuss the recent advancements led by the proximity tagging techniques to refine our conception of the proteome. Expert opinion: The recent development of proximity labeling techniques emphasizes the growing importance of such technologies to decipher cellular mechanism. Although several challenges still need to be addressed, many fields can benefit from these tools and notably the detection of new therapeutic targets for patient care.

Psychosocial and clinical factors of probands impacting intrafamilial disclosure and uptake of genetic testing among families with BRCA1/2 or MMR gene mutations.

OBJECTIVE: Intrafamilial disclosure of hereditary cancer predisposition in BRCA1/2 and mismatch repair gene (MMR) syndromes allows appropriate prevention strategies in at-risk relatives. We previously showed in a nationwide study that the uptake of genetic targeted testing (GTT) in these families was only 30%. We aimed to identify the clinical and psychosocial factors affecting the probands' intrafamilial disclosure and relatives' uptake of GTT in BRCA1/2 or MMR syndromes. METHODS: We assessed clinical variables, family history, and psychosocial variables of probands (depressive symptoms, anxiety, alexithymia, optimism, coping, family relationship, perception of cancer risks, and of hereditary transmission), together with disclosure and uptake of GTT within 103 French BRCA1/2 or MMR families. RESULTS: Among relatives eligible for GTT, 68% were informed of the predisposition, and 37% underwent GTT, according to probands' reports. Intrafamilial disclosure was inversely associated with the degree of kinship (P < .01). In multivariable analysis, disclosure increased with time since probands' genetic diagnosis (P < .01) and probands' feeling of family cohesion (0.01). GTT uptake increased with probands' depressive symptoms (0.02) and decreased with probands' perception of cancer risks (0.03). BRCA1/2 and MMR groups did not differ concerning family information and GTT uptake. CONCLUSIONS: This study identified factors affecting disclosure to relatives and GTT uptake in BRCA1/2 and MMR syndromes and gives new insights to improve probands' follow-up and intrafamilial sharing of genetic information.

High prevalence and characterization of extended-spectrum ß-lactamase producing Enterobacteriaceae in Chadian hospitals.

BACKGROUND: Extended-spectrum ß-lactamase-producing Enterobacteriaceae (ESBL-PE) represent a major problem in the management of nosocomial infections. However, ESBL-PE are not systematically monitored in African countries. The aim of this study was to determine ESBL-PE prevalence in patients from three hospitals in N'Djamena, the capital city of Chad, and to characterize the genetic origin of the observed resistance. METHODS: From January to March 2017, 313 non-duplicate isolates were recovered from various clinical specimens obtained from 1713 patients in the three main hospitals of N'Djamena. Bacterial species were identified by matrix-assisted laser desorption ionization-time of flight mass spectrometry. Susceptibility to 28 antibiotics was tested using the disk diffusion method on Müller-Hinton agar, and ESBL production was confirmed with the double-disc synergy test. The most prevalent ESBL genes associated with the observed resistance were detected using multiplex PCR followed by double-stranded DNA sequencing. RESULTS: Among the 313 isolates, 197 belonged to the Enterobacteriaceae family. The overall ESBL-PE prevalence was 47.72% (n = 94/197), with a higher rate among inpatients compared with outpatients (54.13% vs. 34.37%). ESBL-PE prevalence was highest in older patients (≥60 years of age). E. coli was the most common ESBL-producer organism (63.8%), followed by K. pneumoniae (21.2%). ESBL-PE were mainly found in urine samples (75%). The CTX-M-1 group was dominant (96.7% of the 94 ESBL-PE isolates, CTX-M-15 enzyme), followed by the CTX-M-9 group (4.1%). 86% of resistant isolates harbored more than one ESBL-encoding gene. ESBL production was also associated with the highest levels of resistance to non-ß-lactam drugs. CONCLUSIONS: The prevalence of ESBL-PE harboring resistant genes encoding ESBLs of the CTX-M-1 group was high (48%) among clinical isolates of three main hospitals in Chad, suggesting an alarming spread of ESBL-PE among patients.

Reconstruction and signal propagation analysis of the Syk signaling network in breast cancer cells.

The ability to build in-depth cell signaling networks from vast experimental data is a key objective of computational biology. The spleen tyrosine kinase (Syk) protein, a well-characterized key player in immune cell signaling, was surprisingly first shown by our group to exhibit an onco-suppressive function in mammary epithelial cells and corroborated by many other studies, but the molecular mechanisms of this function remain largely unsolved. Based on existing proteomic data, we report here the generation of an interaction-based network of signaling pathways controlled by Syk in breast cancer cells. Pathway enrichment of the Syk targets previously identified by quantitative phospho-proteomics indicated that Syk is engaged in cell adhesion, motility, growth and death. Using the components and interactions of these pathways, we bootstrapped the reconstruction of a comprehensive network covering Syk signaling in breast cancer cells. To generate in silico hypotheses on Syk signaling propagation, we developed a method allowing to rank paths between Syk and its targets. We first annotated the network according to experimental datasets. We then combined shortest path computation with random walk processes to estimate the importance of individual interactions and selected biologically relevant pathways in the network. Molecular and cell biology experiments allowed to distinguish candidate mechanisms that underlie the impact of Syk on the regulation of cortactin and ezrin, both involved in actin-mediated cell adhesion and motility. The Syk network was further completed with the results of our biological validation experiments. The resulting Syk signaling sub-networks can be explored via an online visualization platform.

Circulating Cell Free Tumor DNA Detection as a Routine Tool forLung Cancer Patient Management.

Circulating tumoral DNA (ctDNA), commonly named "liquid biopsy", has emerged as a new promising noninvasive tool to detect biomarker in several cancers including lung cancer. Applications involving molecular analysis of ctDNA in lung cancer have increased and encompass diagnosis, response to treatment, acquired resistance and prognosis prediction, while bypassing the problem of tumor heterogeneity. ctDNA may then help perform dynamic genetic surveillance in the era of precision medicine through indirect tumoral genomic information determination. The aims of this review were to examine the recent technical developments that allowed the detection of genetic alterations of ctDNA in lung cancer. Furthermore, we explored clinical applications in patients with lung cancer including treatment efficiency monitoring, acquired therapy resistance mechanisms and prognosis value.

High Prevalence of SXT/R391-Related Integrative and Conjugative Elements Carrying blaCMY-2 in Proteus mirabilis Isolates from Gulls in the South of France.

The genetic structures involved in the dissemination of blaCMY-2 carried by Proteus mirabilis isolates recovered from different gull species in the South of France were characterized and compared to clinical isolates. blaCMY-2 was identified in P. mirabilis isolates from 27/93 yellow-legged gulls and from 37/65 slender-billed gulls. It was carried by a conjugative SXT/R391-like integrative and conjugative element (ICE) in all avian strains and in 3/7 human strains. Two clinical isolates had the same genetic background as six avian isolates.

Anti-heat shock protein autoantibody profiling in breast cancer using customized protein microarray.

Heat shock proteins (HSPs) are over-expressed in a wide range of human cancers. It results in the stimulation of the immune system and consequently in elevated concentration of anti-HSP autoantibodies. Elevated anti-HSP autoantibodies were found in breast cancer patients, and they are associated with tumor metastasis. Therefore, screening these autoantibodies could be of diagnostic and prognostic values. Protein microarrays have already demonstrated their great potential as a diagnostic tool. However, protein diversity requires optimization of the microarray fabrication to achieve high sensitivity and specificity. In this study, seven HSPs were immobilized on six different surface chemistries. After evaluation and optimization with purified antibodies of the six surface chemistries, two surfaces were selected to detect anti-HSP autoantibodies in breast cancer sera. Multiplex detection of anti-HSP autoantibodies allowed discrimination of breast cancer patients (50) from healthy controls (26) with a sensitivity of 86% and a specificity of 100%.

Evaluation of the SLOMYCO Sensititre(®) panel for testing the antimicrobial susceptibility of Mycobacterium marinum isolates.

BACKGROUND: The agar dilution method is currently considered as the reference method for Mycobacterium marinum drug susceptibility testing (DST). As it is time-consuming, alternative methods, such as the E-test, were evaluated for M. marinum DST, but without success. The SLOMYCO Sensititre(®) panel, recently commercialized by TREK Diagnostic Systems (Cleveland, OH), can be used for DST in slow-growing mycobacteria and for antimicrobial agents recommended by the Clinical and Laboratory Standards Institute (CLSI) for M. marinum DST. The main goal of this work was to evaluate the SLOMYCO Sensititre(®) panel method for DST in M. marinum isolates from human patients and fish relative to the reference agar dilution method. METHODS/RESULTS: The reproducibility of the minimum inhibitory concentration (MIC) determination (±1 log2 dilution) was very good for both the agar dilution method and SLOMYCO Sensititre(®) panel (>90 % agreement). The percentage essential agreement between methods varied, depending on the drug: between 97 and 75 % for ciprofloxacin, moxifloxacin, linezolid, isoniazid, clarithromycin, amikacin, rifabutin and rifampin, 74 % for trimethoprim, 72 % for doxycycline, 70 % for sulfamethoxazole, 59 % for streptomycin, 33 % for ethambutol and only 2.2 % for ethionamide. When the agar dilution and SLOMYCO Sensititre(®) panel results were converted into interpretive criteria, the category agreement was 100 % for amikacin, ciprofloxacin, clarithromycin, moxifloxacin, rifabutin, sulfamethoxazole and trimethoprim, 98 % for ethambutol and 96 % for rifampin and no agreement for doxycycline. CONCLUSIONS: The SLOMYCO Sensititre(®) panel method could provide a potential alternative to the reference agar dilution method, when DST in M. marinum is required, except for doxycycline.

Comparative evaluation of the new FDA approved THxID™-BRAF test with High Resolution Melting and Sanger sequencing.

BACKGROUND: Since patients diagnosed with BRAF V600E and V600K mutated advanced melanoma show response to treatment with MAP kinase inhibitors, several sensitive methods have been developed to determine the V600 allele status of melanoma patients. Vemurafenib (Zelboraf) and dabrafenib (Tafinlar) are specific BRAF V600 inhibitors recently approved by the US FDA as single agent treatments for unresectable or metastatic melanoma in patients with the BRAF V600 mutation. METHODS: We assessed the new CE THxID™-BRAF diagnostic test, which is also FDA-approved as a companion diagnostic test in the US under a specific reference and compared the results of this assay with both High Resolution Melting (HRM) and Sanger sequencing in 113 melanoma FFPE samples. RESULTS: Invalid results were observed in 0/113 specimen with HRM, 5/113 (4.4%) with Sanger sequencing, and 1/113 (0.9%) with the THxID™-BRAF test. Positive percentage agreement (PPA) was 93.5% (95% CI 82.5 - 97.8) for V600E and V600K mutations combined for the THxID™-BRAF test and HRM, and negative percentage agreement (NPA) was 100.0% (95% CI 94.5 - 100.0). For the THxID™-BRAF test and Sanger, PPA was 100.0% (95% CI 92.1 - 100.0) and NPA 100.0% (95% CI 94.2 - 100.0). One V600E sample identified by THxID™-BRAF test was detected as wild-type by HRM and uninterpretable by Sanger. All V600K (n = 3) were detected using the 3 different approaches. Finally, percent agreement values were not significantly different when using punches (n = 77) vs. slides (n = 36) or depending on samples characteristics such as pigmentation, necrosis, and tumor content. CONCLUSIONS: This study demonstrated the high agreement between the FDA approved THxID™-BRAF assay, HRM, and Sanger sequencing. It has also highlighted the potential of THxID™-BRAF to be applied to a broader range of sample types than claimed in the current "instructions for use", an extension that would require the ad hoc validation and approval.

Characterizing PALB2 intragenic duplication breakpoints in a triple-negative breast cancer case using long-read sequencing.

Introduction: Accurate identification and characterization of Large Genomic Rearrangements (LGR), especially duplications, are crucial for precise diagnosis and risk assessment. In this report, we characterized an intragenic duplication breakpoint of PALB2 to determine its pathogenicity significance. Methods: A 52-year-old female with triple-negative breast cancer was diagnosed with a novel PALB2 LGR. An efficient and accurate methodology was applied, combining long-read sequencing and transcript analysis for the rapid characterization of the duplication. Results: Duplication of exons 5 and 6 of PALB2 was validated by transcript analysis. Long-read sequencing enabled the localization of breakpoints within Alu elements, providing insights into the mechanism of duplication via non-allelic homologous recombination. Conclusion: Using our combined methodology, we reclassified the PALB2 duplication as a pathogenic variant. This reclassification suggests a possible causative link between this specific genetic alteration and the aggressive phenotype of the patient.

Elevated concentrations of milk ß2-microglobulin are associated with increased risk of breastfeeding transmission of HIV-1 (Vertical Transmission Study).

There is increasing evidence to support a relationship between human immunodeficiency virus (HIV-1) transmission through breastfeeding and milk host factors. We analyzed skim milk proteome to further determine the contribution of host factors to the risk of mother-to-child transmission of HIV-1. Quantitative mass spectrometry analysis was performed on nine case-control pairs of HIV+ transmitter/nontransmitter mothers, and specific biochemical assays on two selected proteins were assessed in an independent validation set of 127 samples. 33 identified proteins were differentially expressed between HIV+ transmitter and nontransmitter mothers. Among them, ß2-microglobulin was significantly higher in the maternal transmitter than in the nontransmitter groups (p value = 0.0007), and S100A9 was significantly higher in the early maternal transmitter cases (before 4 months of age) compared with the nontransmitters (p value = 0.004). ß2-Microglobulin correlated with milk and plasma HIV viral load and CD4+ cell count, whereas S100A9 correlated with the estimated timing of infection of the infant through breastfeeding. Finally, ß2-microglobulin concentration in milk could accurately predict the risk of HIV-1 postnatal transmission by breastfeeding (p value < 0.0001, log-rank test). In conclusion, milk ß2-microglobulin and S100A9 are host factors that are found to be associated with mother-to-child transmission of HIV-1.

Identification and validation of new autoantibodies for the diagnosis of DCIS and node negative early-stage breast cancers.

Evidence of circulating autoantibodies in cancer patient sera has created opportunities for exploiting them as biomarkers. We report the identification and the clinical validation of an autoantibody panel in newly diagnosed patients with early-stage breast cancer. Proteomic approach and serological screening of a discovery set of sera (n = 80) were performed to identify tumor-associated antigens (TAAs). Autoantibody levels were then measured in an independent validation set (n = 182) against a panel of five TAAs by enzyme-linked immunosorbent assay. Sixty-seven antigens that elicited a specific humoral response in breast cancer were identified and five antigens (GAL3, PAK2, PHB2, RACK1 and RUVBL1) were selected for validation. GAL3 and RACK1 showed significantly increased reactivity in early-stage breast cancer. When combined, the five markers significantly discriminated early-stage cancer from healthy individuals (AUC = 0.81; 95% CI [0.74-0.86]). Interestingly, this value was high in both node-negative early-stage primary breast cancer (AUC = 0.81; 95% CI [0.72-0.88]) and ductal carcinoma in situ (AUC = 0.85; 95% CI [0.76-0.95]) populations. This autoantibody panel could be useful as a diagnostic tool in a screening strategy of early-stage invasive breast cancer and preinvasive breast cancer. It could be particularly appropriate in complement to mammography for women with high breast density.

Proteomic approaches to identify biomarkers predictive of radiotherapy outcomes.

To be highly successful, a radiotherapeutic dose must be sufficiently large to destroy radioresistant tumors, yet avoid injuring the surrounding healthy tissue. However, many patients exhibit high radiosensitivity and may develop radiation-induced early and late side effects. Because the identification of these radiosensitive patients remains largely problematic, general radiotherapy protocols currently limit the dose given, which risks delivering an insufficient dose to a significant number of less sensitive patients. Therefore, one of the main current challenges of radiobiology is to predict a patient's tumor radioresistance and normal tissue radiosensitivity to tailor a personalized treatment to that individual. Although predictive assays exist, none has demonstrated highly significant results that would be useful in a clinical setting. Therefore, proteomics represents a promising approach for identifying new relevant predictive biomarkers. In this review, the authors first explain the main characteristics of tumor radioresistance and normal tissue radiosensitivity. The authors next describe the existing predictive assays. Finally, the proteomics studies performed to date to identify new biomarkers that probably predicts radiotherapy outcomes are discussed.