Effect of DPYD, MTHFR, ABCB1, XRCC1, ERCC1 and GSTP1 on chemotherapy related toxicity in colorectal carcinoma.

ABCB1, DPYD, MHTFR, XRCC1, ERCC1, GSTP1 and UGT1A1 genetic variants affect proteins related to CRC chemotherapy toxicity. A retrospective cohort study was conducted in 194 CRC patients. In first line treatment, DPYD rs17376848 AG genotype was associated with hematological toxicity (OR = 4.85; p = 0.03); GSTP1 G-allele (OR = 3.01; p = 0.005) and MTHFR rs1801133 T allele (OR = 2.51; p = 0.03) with respiratory toxicity; GSTP1 G-allele with cardiovascular toxicity (OR = 4.05; p = 0.01); ERCC1 rs11615 GG genotype with neurological toxicity (OR = 3.98; p = 0.01) and with asthenia (OR = 2.91; p = 0.08); XRCC1 rs1799782 T allele (OR = 0.31; p = 0.03) and GSTP1 G-allele (OR = 1.81; p = 0.01) with cutaneous toxicity. In second line treatment, XRCC1 rs1799782 T-allele was associated with asthenia (OR = 0.17; p = 0.03) and XRCC1 rs25487 T-allele with gastrointestinal toxicity (OR = 3.03; p = 0.005). After stratifying by treatment, in the 5-Fluorouracil group, the DPYD rs17376848 AG genotype was associated with hematological toxicity (OR = 2.76; p = 0.003), ABCB1 rs1045642 T-allele with the need of treatment adjustment due to toxicity (OR = 3.06; p = 0.01), and rs1045642 CC genotype with gastrointestinal toxicity (OR = 5.80; p = 0.03). In the capecitabine group, the MTHFR rs1801131 CC genotype was associated with asthenia (OR = 3.48; p = 0.009). In the oxaliplatin group, rs1045642 TT genotype was associated with the need to adjust treatment (OR = 0.32; p = 0.02), ERCC1 rs11615 GG genotype with asthenia (OR = 3.01; p = 0.01) and rs1615 GSTP1 GG genotype with respiratory toxicity (OR = 5.07; p = 0.009). ABCB1 rs1045642 T-allele reduces the need for treatment modification with both 5FU and oxaliplatin. Although several biomarkers predicted different toxic effects, they cannot be considered as risk factors for severe toxicity.

Proteomic and metabolomic approaches in the search for biomarkers in chronic kidney disease.

Chronic kidney disease (CKD) is an aging-related disorder that represents a major global public health burden. Current biochemical biomarkers, such as serum creatinine and urinary albumin, have important limitations when used to identify the earliest indication of CKD or in tracking the progression to more advanced CKD. These issues underline the importance of finding and testing new molecular biomarkers that are capable of successfully meeting this clinical need. The measurement of changes in nature and/or levels of proteins and metabolites in biological samples from patients provide insights into pathophysiological processes. Proteomic and metabolomic techniques provide opportunities to record dynamic chemical signatures in patients over time. This review article presents an overview of the recent developments in the fields of metabolomics and proteomics in relation to CKD. Among the many different proteomic biomarkers proposed, there is particular interest in the CKD273 classifier, a urinary proteome biomarker reported to predict CKD progression and with implementation potential. Other individual non-invasive peptidomic biomarkers that are potentially relevant for CKD detection include type 1 collagen, uromodulin and mucin-1. Despite the limited sample sizes and variability of the metabolomics studies, some metabolites such as trimethylamine N-oxide, kynurenine and citrulline stand out as potential biomarkers in CKD.

Genomic approaches in the search for molecular biomarkers in chronic kidney disease.

BACKGROUND: Chronic kidney disease (CKD) is recognised as a global public health problem, more prevalent in older persons and associated with multiple co-morbidities. Diabetes mellitus and hypertension are common aetiologies for CKD, but IgA glomerulonephritis, membranous glomerulonephritis, lupus nephritis and autosomal dominant polycystic kidney disease are also common causes of CKD. MAIN BODY: Conventional biomarkers for CKD involving the use of estimated glomerular filtration rate (eGFR) derived from four variables (serum creatinine, age, gender and ethnicity) are recommended by clinical guidelines for the evaluation, classification, and stratification of CKD. However, these clinical biomarkers present some limitations, especially for early stages of CKD, elderly individuals, extreme body mass index values (serum creatinine), or are influenced by inflammation, steroid treatment and thyroid dysfunction (serum cystatin C). There is therefore a need to identify additional non-invasive biomarkers that are useful in clinical practice to help improve CKD diagnosis, inform prognosis and guide therapeutic management. CONCLUSION: CKD is a multifactorial disease with associated genetic and environmental risk factors. Hence, many studies have employed genetic, epigenetic and transcriptomic approaches to identify biomarkers for kidney disease. In this review, we have summarised the most important studies in humans investigating genomic biomarkers for CKD in the last decade. Several genes, including UMOD, SHROOM3 and ELMO1 have been strongly associated with renal diseases, and some of their traits, such as eGFR and serum creatinine. The role of epigenetic and transcriptomic biomarkers in CKD and related diseases is still unclear. The combination of multiple biomarkers into classifiers, including genomic, and/or epigenomic, may give a more complete picture of kidney diseases.

Influence of IL6R gene polymorphisms in the effectiveness to treatment with tocilizumab in rheumatoid arthritis.

In the present study, we aimed to investigate the influence of clinical parameters and single-nucleotide polymorphisms of interleukin-6 receptor (rs12083537, rs2228145, rs4329505 and rs11265618) on response to tocilizumab, TCZ (European League Against Rheumatism (EULAR) response, remission, low disease activity (LDA) and improvement of DAS28). We performed a retrospective cohort study in patients with Rheumatoid Arthritis (RA) treated with TCZ for 12 months. Multivariable analysis showed that the only variable independently associated to satisfactory EULAR response (odds ratio (OR): 0.61; 95% of confidence interval (CI)95%: 0.42, 0.88; P=0.008), remission (OR: 0.51; CI95%: 0.35, 0.75; P=0.001), LDA (OR: 0.41; CI95%: 0.24, 0.72; P=0.002) and improvement in DAS28 (B=-0.32; CI95%): -0.47, -0.17; P=7.5 × 10-5) at 12 months was lower number of previous biological therapy (BT). High baseline DAS28 was also associated with a greater decrease in DAS28 at 12 months of treatment (B=0.99; CI95%: 0.79, 1.20; P=1.5 × 10-14). Those patients who were carriers of AA genotypes for rs12083537 (OR: 13.0; CI95%: 2.31, 72.91; P=0.004) and CC for rs11265618 (OR: 12.15; CI95%: 2.18, 67.81; P=0.004) had better LDA response at 12 months of treatment with TCZ. In conclusion, RA patients treated with TCZ showed better EULAR response, remission, LDA and DAS28 improvement rates when a lower number of BT were previously administered. The AA genotype for rs12083537 and CC for rs11265618 polymorphisms for may act as predictors of good response LDA.

Pharmacogenetic biomarkers of response in Crohn's disease.

Crohn's disease (CD) is a chronic condition, which affects the immune system. It can also affect any part of the digestive tract and be associated with external manifestations. The causes of the disease remain unknown, although it seems to be the result of a combination of factors, such as genetic predisposition, environment, lifestyle and the composition of the microbiota, among others. The treatment protocol begins with a change in eating and smoking habits, and is continued with different lines of treatment, including corticosteroids, immunomodulators and biologic therapy (infliximab and adalimumab), which have shown differences in response among patients, especially with biologic treatment. Several studies have considered the possibility that these differences in response are caused by the genetic variability of patients. Many genes have been investigated as potential predictors of response to biological drugs, such as ADAM17, ATG16L1, EMSY, CASP9, CCNY, CNTN5, FASLG, FCGR, NOD2, PTGER4, IL13, IL1B, IL27, IL11, IL17F, TNF and TNFR genes. In this review, we will gather the information on influence of gene polymorphisms investigated to date on response to biological drugs in CD patients.

Pharmacogenetics role in the safety of acenocoumarol therapy.

Vitamin K antagonists (VKAs) remain as the most prescribed drug for treatment and prevention of thrombotic disorders in many countries, despite the recent approval of the new oral anticoagulants (NOACs). Although effectiveness and safety of VKAs are tightly associated to maintaining the patient within the international normalised ratio (INR) therapeutic range (TWR), they have been likened to NOACs when patients are in good INR control (≥66% of TWR). Therefore, assessing the safety of patients should be a priority in the selection of the anticoagulation therapy. The aim of this study was to evaluate the association between CYP2C9*2, CYP2C9*3, VKORC1, CYP4F2*3, ABCB1 C3435T, APOE, CYP2C19*2 and CYP2C19*17 gene polymorphisms and treatment safety in 128 patients diagnosed with atrial fibrillation or venous thromboembolism during the initial first seven months of acenocoumarol therapy. After the first month, VKORC1-T-allele and APOE-E3/E3 genotype were independently associated to higher time above therapeutic range (TAR) and lower time below the therapeutic range (TBR). After seven months, VKORC1 T-allele predicted higher TAR, and was also associated to increased INR>4, particularly the TT-genotype (odds ratio [OR]: 32; 95% confidence interval [CI95%]: 6-175; p=810⁻5). C-alleles for CYP2C9*3 (OR: 5.5; CI95%: 1.8-17; p=0.003) and ABCB1 (OR: 8.9;CI95%: 1.1-70; p=0.039) independently influenced on INR>6 . Patients VKORC1-TT/ABCB1-C remained 26.8% [19.7-38.9] TAR, with associated relative risk (RR) for INR>4 1.8 higher (CI95%: 1.2-2.5; p=0.015). Patients VKORC1-TT also presented the highest risk of bleeding events (RR: 3.5;CI95%: 1.4-8.4; p=0,010). In conclusion, VKORC1, CYP2C9*3, APOE and ABCB1 genotypes should be considered in prevention of overanticoagulation and bleeding events in the initiation of acenocoumarol therapy.

Could 18F-FDG-PET/CT avoid unnecessary thyroidectomies in patients with cytological diagnosis of follicular neoplasm?

PURPOSE: Preoperative diagnosis of thyroid nodules with "follicular neoplasm" (FN) based on fine-needle aspiration cytology (FNAC) forces thyroidectomy to exclude malignancy. This study explores if (18)F-fluorodeoxyglucose positron emission tomography/computed tomography ((18)F-FDG-PET/CT) provides information enough to prevent unnecessary thyroidectomies in this clinical setting. METHODS: This is a prospective study involving 46 consecutive patients scheduled for thyroidectomy due to follicular neoplasm diagnosis in FNAC (36 follicular, 10 Hürthle cell neoplasms, Bethesda classification) since January 2009 until April 2012. All patients underwent preoperative (18)F-FDG-PET/CT. Abnormal (18)F-FDG thyroid uptake was assessed visually and by measuring the maximum standard uptake value (SUV max). Results were compared with definitive pathology reports. RESULTS: Thirteen out of 46 patients (28.3 %) were finally diagnosed with thyroid cancer. Focal uptake correlated with a greater risk of malignancy (p = 0.009). (18)F-FDG-PET/CT focal uptake showed sensitivity, specificity, positive and negative predictive values and overall accuracy of 92.3, 48.5, 41.4, 94.1 and 60.9 %, respectively. The optimal threshold SUV max to discriminate malignancy was 4.2 with an area under receiver-operating characteristic curve of 0.76 (95 % confidence interval, 0.60-0.90). Use of (18)F-FDG-PET/CT could reduce by 13-25 % the number of thyroidectomies performed for definitive benign nodules. However, it has demonstrated worse predictive ability in the subgroup of patients with diffuse uptake, oncocytic pattern in FNAC and lesions smaller than 2. CONCLUSIONS: (18)F-FDG-PET/CT can play a role in the management of thyroid nodules larger than 2 cm cytologically reported as follicular neoplasm without oncocytic differentiation, allowing the avoidance of a significant number of thyroidectomies for definitive benign lesions.

Polimorfismos del gen VDR en el riesgo de fracturas osteoporótica de cadera en una población adulta española / VDR gene polymorphisms on risk of osteoporotic hip fracture in an adult population spanish

La osteoporosis es una enfermedad esquelética compleja multifactorial con un fuerte componente genético, caracterizada por un deterioro en la microestructura ósea que causa fragilidad ósea y un incremento en el riesgo de fracturas osteoporóticas. El gen VDR podría estar fuertemente involucrado en el riesgo de fractura. El objetivo de este trabajo fue investigar la asociación entre polimorfismos del gen VDR y la susceptibilidad a fractura de cadera (FC). Se reclutaron 147 pacientes andaluces (102 con factores de riesgos de fracturas osteoporóticas y 45 con metabolismo óseo normal). El aislamiento de ADN se realizó a partir de 300 mL de sangre, genotipando 2 SNPs: BsmI y FokI mediante PCRRFLP (PCR-Restriction Fragment Length Polymorphism). Todas las fracturas fueron confirmadas por rayos-X mientras que el riesgo de fracturas a través de la escala FRAX y DMO. Los resultados se evaluaron estadísticamente, considerando significativo valores de p<0,05. La edad media de los pacientes fracturados fue de 68,5 años, cuyas frecuencias alélicas fueron 64.7% G y 68.6% C para BsmI y FokI, respectivamente. La prevalencia de estos SNPs en la población caso fueron: 43,3% GA,43.3% GG y 13,7% AA para BsmI y 49,0% CC, 39,20% CT, 11,8% TT para FokI. Las frecuencias de los alelos y genotipos no mostraron diferencias entre pacientes con riesgo de fracturas y pacientes control. Las frecuencias están acorde con las demostradas en HapMap para población europea caucásica. No se encontró ninguna asociación significativa entre estos SNPs y la susceptibilidad a las FC en la población adulta andaluza(AU)

Osteoporosis is a multifactorial complex skeletal disease with strong genetic component, characterized by a deterioration of bone microstructure that causes bone fragility and an increased risk of osteoporotic fractures. VDR gene could be strongly involved in the risk of fracture. The aim of this study was to investigate the association between VDR gene polymorphisms and susceptibility to hip fracture (HF). 147 Andalusian patients were recruited (102 with risk factors for osteoporotic fractures and 47 with normal bone metabolism). DNA isolation was performed from 300 mL of blood, genotyping 2 SNPs: BsmI and FokI by PCR-RFLP (PCR-Restriction Fragment Length Polymorphism). All fractures were confirmed by X-rays while the risk of fractures through FRAX level and BMD. The results were statistically evaluated, considering significant p-values <0.05. The average age of fractured patients was 68.5 years, whose allele frequencies were 64.7% G and 68.6% C for BsmI and FokI, respectively. Prevalence of these SNPs in the case population were: 43.3% GA, 43.3% GG and 13.7% AA BsmI and 49.0 % CC, 39.2% CT, 11.8% TT for FokI. The frequencies of alleles and genotypes showed no differences between patients with and without risk of hip fracture. The frequencies are agree to HapMap for European-Caucasian population. It was found no significant association between these SNPs and susceptibility to HF in the adult population of Andalusia(AU)