The CYSMA web server: An example of integrative tool for in silico analysis of missense variants identified in Mendelian disorders.

Exome sequencing used for molecular diagnosis of Mendelian disorders considerably increases the number of missense variants of unclear significance, whose pathogenicity can be assessed by a variety of prediction tools. As the performance of algorithms may vary according to the datasets, complementary specific resources are needed to improve variant interpretation. As a model, we were interested in the cystic fibrosis transmembrane conductance regulator gene (CFTR) causing cystic fibrosis, in which at least 40% of missense variants are reported. Cystic fibrosis missense analysis (CYSMA) is a new web server designed for online estimation of the pathological relevance of CFTR missense variants. CYSMA generates a set of computationally derived data, ranging from evolutionary conservation to functional observations from three-dimensional structures, provides all available allelic frequencies, clinical observations, and references for functional studies. Compared to software classically used in analysis pipelines on a dataset of 141 well-characterized missense variants, CYSMA was the most efficient tool to discriminate benign missense variants, with a specificity of 85%, and very good sensitivity of 89%. These results suggest that such integrative tools could be adapted to numbers of genes involved in Mendelian disorders to improve the interpretation of missense variants identified in the context of diagnosis.

Pitfalls in the interpretation of CFTR variants in the context of incidental findings.

Whole-exome/genome sequencing analyses lead to detect disease-causing variants that are unrelated to the initial clinical question. Irrespective of any actionable gene list, only pathogenic variants should be considered. The pathogenicity of 55 cystic fibrosis transmembrane conductance regulator (CFTR) variants of known various impacts was assessed by a group of experts by comparing data from specialized databases CFTR-France and CFTR2 with those of general clinical databases ClinVar and Human Gene Mutation Database (HGMD®) Professional and data aggregators VarSome and InterVar. The assessment of cystic fibrosis (CF) variants was correct with ClinVar and HGMD® Professional while less reliable with VarSome and InterVar. Conversely, the risk of overclassifying variants as CF-causing was up to 82% with HGMD® Professional. The concordance between data aggregators was only 50%. The use of general databases and aggregators is thus associated with a substantial risk of misclassifying variants. This evaluation may be extrapolated to other disease conditions and incites to remain cautious in interpreting and disclosing incidental findings.

Isolated Nonvisualization of the Fetal Gallbladder Should Be Considered for the Prenatal Diagnosis of Cystic Fibrosis.

BACKGROUND: Cystic fibrosis (CF) can be revealed during fetal life by diverse ultrasound digestive abnormalities (USDA) such as fetal echogenic bowel or fetal intestinal loop dilatation, nonvisualization of the fetal gallbladder (NVFGB) being rarely observed in isolation. Only 6 cases of CF revealed by isolated NVFGB have been reported so far in the literature. Furthermore, recent studies suggested that this sign is of poor predictive value for CF. METHODS: We report on the results of a 6-year French tricenter study on 1,124 cases of fetal USDA for whom a comprehensive molecular study was performed for CF. RESULTS: Among the 37 CF fetuses, 5 (13.5%) presented with isolated NVFGB at ultrasound (US) examination at 24-31 weeks of gestation. This sign was more frequently observed in CF fetuses than in non-CF fetuses, with a likelihood ratio of 2.7. The genotypes included three c.1521_1523del (F508del) homozygous cases and two compound heterozygous cases for a frequent and a rare CF-causing variant. DISCUSSION: These observations highlight the importance to report on the presence and aspect of the fetal gallbladder at the second trimester US scan and to consider prenatal CFTR molecular analysis in cases of isolated NVFGB.

A Broad Test Based on Fluorescent-Multiplex PCR for Noninvasive Prenatal Diagnosis of Cystic Fibrosis.

BACKGROUND: Analysis of cell-free fetal DNA in maternal plasma is very promising for early diagnosis of monogenic diseases. However, it has been limited by the need to set up patient- or disease-specific custom-made approaches. Here we propose a universal test based on fluorescent multiplex PCR and size fragment analysis for an indirect diagnosis of cystic fibrosis (CF). METHODS: The test, based on haplotyping, includes nine intra- and extragenic short tandem repeats of the CFTR locus, the coamplification of p.Phe508del (the most frequent mutation in CF patients worldwide), and a specific SRY sequence. The assay is able to determine the inherited paternal allele. RESULTS: Our simple approach was successfully applied to 30 couples and provided clear results from the maternal plasma. The mean rate of informative markers was sufficient to propose it for use in indirect diagnosis. CONCLUSIONS: This noninvasive prenatal diagnosis test, focused on indirect diagnosis of CF, offers many advantages over current methods: it is simple, rapid, and cost-effective. It allows for the testing of a large number of couples with high risk of CF, whatever the familial mutation of the CFTR gene. It provides an alternative method to reduce the number of invasive tests.

Multicenter validation study for the certification of a CFTR gene scanning method using next generation sequencing technology.

BACKGROUND: Many European laboratories offer molecular genetic analysis of the CFTR gene using a wide range of methods to identify mutations causative of cystic fibrosis (CF) and CFTR-related disorders (CFTR-RDs). Next-generation sequencing (NGS) strategies are widely used in diagnostic practice, and CE marking is now required for most in vitro diagnostic (IVD) tests in Europe. The aim of this multicenter study, which involved three European laboratories specialized in CF molecular analysis, was to evaluate the performance of Multiplicom's CFTR MASTR Dx kit to obtain CE-IVD certification. METHODS: A total of 164 samples, previously analyzed with well-established "reference" methods for the molecular diagnosis of the CFTR gene, were selected and re-sequenced using the Illumina MiSeq benchtop NGS platform. Sequencing data were analyzed using two different bioinformatic pipelines. Annotated variants were then compared to the previously obtained reference data. RESULTS AND CONCLUSIONS: The analytical sensitivity, specificity and accuracy rates of the Multiplicom CFTR MASTR assay exceeded 99%. Because different types of CFTR mutations can be detected in a single workflow, the CFTR MASTR assay simplifies the overall process and is consequently well suited for routine diagnostics.

CFTR-France, a national relational patient database for sharing genetic and phenotypic data associated with rare CFTR variants.

Most of the 2,000 variants identified in the CFTR (cystic fibrosis transmembrane regulator) gene are rare or private. Their interpretation is hampered by the lack of available data and resources, making patient care and genetic counseling challenging. We developed a patient-based database dedicated to the annotations of rare CFTR variants in the context of their cis- and trans-allelic combinations. Based on almost 30 years of experience of CFTR testing, CFTR-France (https://cftr.iurc.montp.inserm.fr/cftr) currently compiles 16,819 variant records from 4,615 individuals with cystic fibrosis (CF) or CFTR-RD (related disorders), fetuses with ultrasound bowel anomalies, newborns awaiting clinical diagnosis, and asymptomatic compound heterozygotes. For each of the 736 different variants reported in the database, patient characteristics and genetic information (other variations in cis or in trans) have been thoroughly checked by a dedicated curator. Combining updated clinical, epidemiological, in silico, or in vitro functional data helps to the interpretation of unclassified and the reassessment of misclassified variants. This comprehensive CFTR database is now an invaluable tool for diagnostic laboratories gathering information on rare variants, especially in the context of genetic counseling, prenatal and preimplantation genetic diagnosis. CFTR-France is thus highly complementary to the international database CFTR2 focused so far on the most common CF-causing alleles.

Small-scale high-throughput sequencing-based identification of new therapeutic tools in cystic fibrosis.

PURPOSE: Although 97-99% of CFTR mutations have been identified, great efforts must be made to detect yet-unidentified mutations. METHODS: We developed a small-scale next-generation sequencing approach for reliably and quickly scanning the entire gene, including noncoding regions, to identify new mutations. We applied this approach to 18 samples from patients suffering from cystic fibrosis (CF) in whom only one mutation had hitherto been identified. RESULTS: Using an in-house bioinformatics pipeline, we could rapidly identify a second disease-causing CFTR mutation for 16 of 18 samples. Of them, c.1680-883A>G was found in three unrelated CF patients. Analysis of minigenes and patients' transcripts showed that this mutation results in aberrantly spliced transcripts because of the inclusion of a pseudoexon. It is located only three base pairs from the c.1680-886A>G mutation (1811+1.6kbA>G), the fourth most frequent mutation in southwestern Europe. We next tested the effect of antisense oligonucleotides targeting splice sites on these two mutations on pseudoexon skipping. Oligonucleotide transfection resulted in the restoration of the full-length, in-frame CFTR transcript, demonstrating the effect of antisense oligonucleotide-induced pseudoexon skipping in CF. CONCLUSION: Our data confirm the importance of analyzing noncoding regions to find unidentified mutations, which is essential to designing targeted therapeutic approaches.

Non-invasive prenatal diagnosis of monogenic disorders: an optimized protocol using MEMO qPCR with miniSTR as internal control.

BACKGROUND: Analysis of circulating cell-free fetal DNA (cffDNA) in maternal plasma is very promising for early diagnosis of monogenic diseases. However, this approach is not yet available for routine use and remains technically challenging because of the low concentration of cffDNA, which is swamped by the overwhelming maternal DNA. METHODS: To make clinical applications more readily accessible, we propose a new approach based on mutant enrichment with 3'-modified oligonucleotides (MEMO) PCR along with real-time PCR to selectively amplify from the maternal blood the paternally inherited fetal allele that is not present in the maternal genome. RESULTS: The first proof of concept of this strategy was displayed for cystic fibrosis by the accuracy of our detection of the p.Gly542* mutation used as the initial developmental model. Subsequently, a retrospective study of plasmas originating from two pregnant women carrying a fetus with private mutation confirmed the effectiveness of our method. We confirmed the presence of cffDNA in the studied samples by the identification of a tri-allelic DNA profile using a miniSTR kit. CONCLUSIONS: This new non-invasive prenatal diagnosis test offers numerous advantages over current methods: it is simple, cost effective, time efficient and does not require complex equipment or bioinformatics settings. Moreover, our assays for different private mutations demonstrate the viability of this approach in clinical settings for monogenic disorders.

A classification model relative to splicing for variants of unknown clinical significance: application to the CFTR gene.

Molecular diagnosis of cystic fibrosis and cystic fibrosis transmembrane regulator (CFTR)-related disorders led to the worldwide identification of nearly 1,900 sequence variations in the CFTR gene that consist mainly of private point mutations and small insertions/deletions. Establishing their effect on the function of the encoded protein and therefore their involvement in the disease is still challenging and directly impacts genetic counseling. In this context, we built a decision tree following the international guidelines for the classification of variants of unknown clinical significance (VUCS) in the CFTR gene specifically focused on their consequences on splicing. We applied general and specific criteria, including comprehensive review of literature and databases, familial genetics data, and thorough in silico studies. This model was tested on 15 intronic and exonic VUCS identified in our cohort. Six variants were classified as probably nonpathogenic considering their impact on splicing and eight as probably pathogenic, which include two apparent missense mutations. We assessed the validity of our method by performing minigenes studies and confirmed that 93% (14/15) were correctly classified. We provide in this study a high-performance method that can play a full role in interpreting the results of molecular diagnosis in emergency context, when functional studies are not achievable.

Standards of care for CFTR variant-specific therapy (including modulators) for people with cystic fibrosis.

Cystic fibrosis (CF) has entered the era of variant-specific therapy, tailored to the genetic variants in the Cystic Fibrosis Transmembrane Conductance Regulator (CFTR) gene. CFTR modulators, the first variant-specific therapy available, have transformed the management of CF. The latest standards of care from the European CF Society (2018) did not include guidance on variant-specific therapy, as CFTR modulators were becoming established as a novel therapy. We have produced interim standards to guide healthcare professionals in the provision of variant-specific therapy for people with CF. Here we provide evidence-based guidance covering the spectrum of care, established using evidence from systematic reviews and expert opinion. Statements were reviewed by key stakeholders using Delphi methodology, with agreement (≥80%) achieved for all statements after one round of consultation. Issues around accessibility are discussed and there is clear consensus that all eligible people with CF should have access to variant-specific therapy.

Reclassifying inconclusive diagnosis after newborn screening for cystic fibrosis. Moving forward.

BACKGROUND: Newborn screening for Cystic Fibrosis (CF) is associated with situations where the diagnosis of CF or CFTR related disorders (CFTR-RD) cannot be clearly ruled out. MATERIALS/PATIENTS AND METHODS: We report a case series of 23 children with unconclusive diagnosis after newborn screening for CF and a mean follow-up of 7.7 years (4-13). Comprehensive investigations including whole CFTR gene sequencing, in vivo intestinal current measurement (ICM), nasal potential difference (NPD), and in vitro functional studies of variants of unknown significance, helped to reclassify the patients. RESULTS: Extensive genetic testing identified, in trans with a CF causing mutation, variants with varying clinical consequences and 3 variants of unknown significance (VUS). Eighteen deep intronic variants were identified by deep resequencing of the whole CFTR gene in 13 patients and were finally considered as non-pathogenic. All patients had normal CFTR dependent chloride transport in ICM. NPD differentiated 3 different profiles: CF-like tracings qualifying the patients as CF, such as F508del/D1152H patients; normal responses, suggesting an extremely low likelihood of developing a CFTR-RD such as F508del/TG11T5 patients; partial CFTR dysfunction above 20% of the normal, highlighting a remaining risk of developing CFTR-RD such as F508del/F1052V patients. The 3 VUS were reclassified as variant with defective maturation (D537N), defective expression (T582I) or with no clinical consequence (M952T). CONCLUSION: This study demonstrates the usefulness of combining genetic and functional investigations to assess the possibility of evolving to CF or CFTR-RD in babies with inconclusive diagnosis at neonatal screening.

Exon identity influences splicing induced by exonic variants and in silico prediction efficacy.

BACKGROUND: Minigenes and in silico prediction tools are commonly used to assess the impact on splicing of CFTR variants. Exon skipping is often neglected though it could impact the efficacy of targeted therapies. The aim of the study was to identify exon skipping associated with CFTR variants and to evaluate in silico predictions of seven freely available software. METHODS: CFTR basal exon skipping was evaluated on endogenous mRNA extracted from non-CF nasal cells and on two CFTR minigene banks. In silico tools and minigene systems were used to evaluate the impact of CFTR exonic variants on exon skipping. RESULTS: Data showed that out of 65 CFTR variants tested, 26 enhanced exon skipping and that in silico prediction efficacy was of 50%-66%. Some in silico tools presented predictions with a bias towards the occurrence of splicing events while others presented a bias towards the absence of splicing events (non-detection including true negatives and false negatives). Classification of exons depending on their basal exon skipping level increased prediction rates up to 80%. CONCLUSION: This study indicates that taking basal exon skipping into account could orientate the choice of the in silico tools to improve prediction rates. It also highlights the need to validate effects using in vitro assays or mRNA studies in patients. Eventually, it shows that variant-guided therapy should also target exon skipping associated with variants.

Pregnane X Receptor (PXR) expression in colorectal cancer cells restricts irinotecan chemosensitivity through enhanced SN-38 glucuronidation.

BACKGROUND: Clinical efficacy of chemotherapy in colorectal cancer is subjected to broad inter-individual variations leading to the inability to predict outcome and toxicity. The topoisomerase I inhibitor irinotecan (CPT-11) is worldwide approved for the treatment of metastatic colorectal cancer and undergoes extensive peripheral and tumoral metabolism. PXR is a xenoreceptor activated by many drugs and environmental compounds regulating the expression of drug metabolism and transport genes in detoxification organs such as liver and gastrointestinal tract. Considering the metabolic pathway of irinotecan and the tissue distribution of Pregnane x Receptor (PXR), we hypothesized that PXR could play a key role in colon cancer cell response to irinotecan. RESULTS: PXR mRNA expression was quantified by RT-quantitative PCR in a panel of 14 colon tumor samples and their matched normal tissues. PXR expression was modulated in human colorectal cancer cells LS174T, SW480 and SW620 by transfection and siRNA strategies. Cellular response to irinotecan and its active metabolic SN38 was assessed by cell viability assays, HPLC metabolic profiles and mRNA quantification of PXR target genes. We showed that PXR was strongly expressed in colon tumor samples and displayed a great variability of expression. Expression of hPXR in human colorectal cancer cells led to a marked chemoresistance to the active metabolite SN38 correlated with PXR expression level. Metabolic profiles of SN38 showed a strong enhancement of SN38 glucuronidation to the inactive SN38G metabolite in PXR-expressing cells, correlated with an increase of UDPglucuronosyl transferases UGT1A1, UGT1A9 and UGT1A10 mRNAs. Inhibition of PXR expression by lentivirus-mediated shRNA, led to SN38 chemoresistance reversion concomitantly to a decrease of UGT1A1 expression and SN38 glucuronidation. Similarly, PXR mRNA expression levels correlated to UGT1A subfamily expression in human colon tumor biopsies. CONCLUSION: Our results demonstrate that tumoral metabolism of SN38 is affected by PXR and point to potential therapeutic significance of PXR quantification in the prediction of irinotecan response. Furthermore, our observations are pharmacologically relevant since many patients suffering from cancer diseases are often exposed to co-medications, food additives or herbal supplements able to activate PXR. A substantial part of the variability observed among patients might be caused by such interactions.

High-resolution melting analysis of sequence variations in the cytidine deaminase gene (CDA) in patients with cancer treated with gemcitabine.

Gemcitabine (2',2'-difluorodeoxycytidine) is a major antimetabolite cytotoxic drug with a wide spectrum of activity against solid tumors. Hepatic elimination of gemcitabine depends on a catabolic pathway through a deamination step driven by the enzyme cytidine deaminase (CDA). Severe hematologic toxicity to gemcitabine was reported in patients harboring genetic polymorphisms in CDA gene. High-resolution melting (HRM) analysis of polymerase chain reaction amplicon emerges today as a powerful technique for both genotyping and gene scanning strategies. In this study, 46 DNA samples from gemcitabine-treated patients were subjected to HRM analysis on a LightCycler 480 platform. Residual serum CDA activity was assayed as a surrogate marker for the overall functionality of this enzyme. Genotyping of three well-described single nucleotide polymorphisms in coding region (c.79A>C, c.208G>A and c.435C>T) was successfully achieved by HRM analysis of small polymerase chain reaction fragments, whereas unknown single nucleotide polymorphisms were searched by a gene scanning strategy with longer amplicons (up to 622 bp). The gene scanning strategy allowed us to find a new intronic mutation c.246+37G>A in a female patient displaying marked CDA deficiency and who had an extreme toxic reaction with a fatal outcome to gemcitabine treatment. Our work demonstrates that HRM-based methods, owing to their simplicity, reliability, and speed, are useful tools for diagnosis of CDA deficiency and could be of interest for personalized medicine.

Laboratory reporting on the clinical spectrum of CFTR p.Arg117His: Still room for improvement.

BACKGROUND: The clinical spectrum associated with cystic fibrosis transmembrane conductance regulator (CFTR) variant p.Arg117His is highly variable, ranging from full-blown cystic fibrosis (CF) in a small number of cases to CFTR-related disorders (CFTR-RDs) or no symptoms at all. Therefore, taking into account phenotype variability is essential for interpretation. External quality assessment (EQA) schemes can help laboratories to objectively assess the quality of genotyping and reporting by the laboratory. METHODS: We performed a retrospective longitudinal data analysis on laboratory performance regarding the interpretation of p.Arg117His during CF EQA scheme participation. Completeness and accuracy of reporting on two mock clinical cases were each compared over time (case 1: 2005, 2007 and 2012; case 2: 2015 and 2018). These cases concerned subjects compound heterozygous for p.Phe508del and p.Arg117His in cis with 7T, but with different clinical backgrounds (family planning (case 1) versus diagnostic testing for a child (case 2)). Furthermore, we analyzed the influence of previous participations, annual test volume, accreditation status and laboratory setting on overall performance. RESULTS: Overall performance improved over time, except during the 2007 CF EQA scheme. In addition, previous participations had a beneficial effect on laboratory performance. Accreditation status, annual test volume and laboratory setting did not significantly influence total interpretation scores. CONCLUSIONS: In general, laboratories performed well on both cases, although reporting on the variable clinical spectrum of p.Arg117His in cis with 7T and on the disease liability of individual CFTR variants can still improve. Moreover, this study underlined the educational role of CF EQA schemes.

Novel ADGRG2 truncating variants in patients with X-linked congenital absence of vas deferens.

BACKGROUND: Congenital absence of vas deferens (CAVD) represents a major cause of obstructive azoospermia and is mainly related to biallelic alteration of the CFTR gene, also involved in cystic fibrosis. Using whole exome sequencing, we recently identified hemizygous loss-of-function mutations in the Adhesion G Protein-coupled Receptor G2 gene (ADGRG2) as responsible of isolated CAVD in the absence of associated unilateral renal agenesis. OBJECTIVES: The objective of this study was to retrospectively perform ADGRG2 sequencing on a large cohort of patients with CAVD, and 0 or only 1 CFTR defective allele identified after comprehensive testing in order to (a) define more precisely the spectrum and the frequency of ADGRG2 mutations within Caucasian population (b) explore the possibility of co-occurrence of CFTR and ADGRG2 mutations. MATERIALS AND METHODS: We collected 53 DNA samples from CAVD patients with 0 (n = 23) or 1 (n = 30) alteration identified after comprehensive CFTR testing in order to perform ADGRG2 sequencing. Twenty patients had normal ultrasonographic renal examination, and renal status was not documented for 33 patients. RESULTS: We identified six new truncating ADGRG2 mutations in 8 patients including two twin brothers: c.251C > G (p.Ser84*), c.1013delC (p.Pro338Hisfs*4), c.1460delG (p.Gly487Alafs*9), c.2096dupT (p.Phe700Ilefs*29), c.2473C > T (p.Arg825*), and c.1731_1839 + 373del (p.Asn578Thrfs*12), which is a 596 base pair deletion affecting the last five bases of exon 21 and the whole exon 22. Five of the eight patients also harbored an heterozygous CFTR mutation which we consider as incidental regarding the high penetrance expected for ADGRG2 truncating variants. The frequency of ADGRG2 truncating mutation was 26% (5/19 unrelated patients) when presence of both kidneys was attested by ultrasonography and 6.1% (2/33) among patients with unknown renal status. DISCUSSION & CONCLUSION: Our results confirm the interest of ADGRG2 sequencing in patients with CAVD not formerly related to CFTR dysfunction, especially in the absence of associated unilateral renal agenesis.

Reference gene selection for head and neck squamous cell carcinoma gene expression studies.

BACKGROUND: It is no longer adequate to choose reference genes blindly. We present the first study that defines the suitability of 12 reference genes commonly used in cancer studies (ACT, ALAS, B2M, GAPDH, HMBS, HPRT, KALPHA, RPS18, RPL27, RPS29, SHAD and TBP) for the normalization of quantitative expression data in the field of head and neck squamous cell carcinoma (HNSCC). RESULTS: Raw expression levels were measured by RT-qPCR in HNSCC and normal matched mucosa of 46 patients. We analyzed the expression stability using geNorm and NormFinder and compared the expression levels between subgroups. In HNSCC and/or normal mucosa, the four best normalization genes were ALAS, GAPDH, RPS18 and SHAD and the most stable combination of two genes was GAPDH-SHAD. We recommend using KALPHA-TBP for the study of T1T2 tumors, RPL27-SHAD for T3T4 tumors, KALPHA-SHAD for N0 tumors, and ALAS-TBP for N+ tumors. ACT, B2M, GAPDH, HMBS, HPRT, KALPHA, RPS18, RPS29, SHAD and TBP were slightly misregulated (<1.7-fold) between tumor and normal mucosa but can be used for normalization, depending on the resolution required for the assay. CONCLUSION: In the field of HNSCC, this study will guide researchers in selecting the most appropriate reference genes from among 12 potentially suitable reference genes, depending on the specific setting of their experiments.

Clinical relevance of nine transcriptional molecular markers for the diagnosis of head and neck squamous cell carcinoma in tissue and saliva rinse.

BACKGROUND: Analysis of 23 published transcriptome studies allowed us to identify nine genes displaying frequent alterations in HNSCC (FN1, MMP1, PLAU, SPARC, IL1RN, KRT4, KRT13, MAL, and TGM3). We aimed to independently confirm these dysregulations and to identify potential relationships with clinical data for diagnostic, staging and prognostic purposes either at the tissue level or in saliva rinse. METHODS: For a period of two years, we systematically collected tumor tissue, normal matched mucosa and saliva of patients diagnosed with primary untreated HNSCC. Expression levels of the nine genes of interest were measured by RT-qPCR in tumor and healthy matched mucosa from 46 patients. MMP1 expression level was measured by RT-qPCR in the salivary rinse of 51 HNSCC patients and 18 control cases. RESULTS: Dysregulation of the nine genes was confirmed by the Wilcoxon test. IL1RN, MAL and MMP1 were the most efficient diagnostic markers of HNSCC, with ROC AUC > 0.95 and both sensitivity and specificity above 91%. No clinically relevant correlation was found between gene expression level in tumor and T stage, N stage, tumor grade, global survival or disease-free survival. Our preliminary results suggests that with 100% specificity, MMP1 detection in saliva rinse is potentially useful for non invasive diagnosis of HNSCC of the oral cavity or oropharynx, but technical improvement is needed since sensitivity was only 20%. CONCLUSION: IL1RN, MAL and MMP1 are prospective tumor diagnostic markers for HNSCC. MMP1 overexpression is the most promising marker, and its detection could help identify tumor cells in tissue or saliva.

Current and future molecular approaches in the diagnosis of cystic fibrosis.

INTRODUCTION: Cystic Fibrosis is among the first diseases to have general population genetic screening tests and one of the most common indications of prenatal and preimplantation genetic diagnosis for single gene disorders. During the past twenty years, thanks to the evolution of diagnostic techniques, our knowledge of CFTR genetics and pathophysiological mechanisms involved in cystic fibrosis has significantly improved. Areas covered: Sanger sequencing and quantitative methods greatly contributed to the identification of more than 2,000 sequence variations reported worldwide in the CFTR gene. We are now entering a new technological age with the generalization of high throughput approaches such as Next Generation Sequencing and Droplet Digital PCR technologies in diagnostics laboratories. These powerful technologies open up new perspectives for scanning the entire CFTR locus, exploring modifier factors that possibly influence the clinical evolution of patients, and for preimplantation and prenatal diagnosis. Expert commentary: Such breakthroughs would, however, require powerful bioinformatics tools and relevant functional tests of variants for analysis and interpretation of the resulting data. Ultimately, an optimal use of all those resources may improve patient care and therapeutic decision-making.