The Prognostic Value of Cancer Stem Cell Markers (CSCs) Expression-ALDH1A1, CD133, CD44-For Survival and Long-Term Follow-Up of Ovarian Cancer Patients.

Recurrent disease and treatment-associated chemoresistance are the two main factors accounting for poor clinical outcomes of ovarian cancer (OC) patients. Both can be associated with cancer stem cells (CSCs), which contribute to cancer formation, progression, chemoresistance, and recurrence. Hence, this study investigated whether the expression of known CSC-associated markers ALDH1A, CD44, and CD133 may predict OC patient prognosis. We analyzed their expression in primary epithelial ovarian cancer (EOC) patients using immunohistochemistry and related them to clinicopathological data, including overall survival (OS) and progression-free survival (PFS). Expression of ALDH1A1 was detected in 32%, CD133 in 28%, and CD44 in 33% of cases. While Kaplan-Meier analysis revealed no association of the expression of CD133 and CD44 with PFS and OS, ALDH1A1-positive patients were characterized with both significantly shorter OS (p = 0.00022) and PFS (p = 0.027). Multivariate analysis demonstrated that the expression of ALDH1A1, FIGO stage III-IV, and residual disease after suboptimal debulking or neoadjuvant chemotherapy correlated with shorter OS. The results of this study identify ALDH1A1 as a potential independent prognostic factor of shorter OS and PFS in EOC patients. Therefore, targeting ALDH1A1-positive cancer cells may be a promising therapeutic strategy to influence the disease course and treatment response.

Serum Proteomic Profiles of Patients with High and Low Risk of Endometrial Cancer Recurrence.

Endometrial cancer is the most common gynecological cancer worldwide. Classifying endometrial cancer into low- or high-risk groups based on the following features is recommended: tumor grade, lymphovascular space invasion, myometrial involvement, and non-endometrioid histology. Despite the recent progress in molecular profiling of endometrial cancer, a substantial group of patients are misclassified based on the current criteria. This study aimed to identify proteins that could be used as biomarkers for the stratification of endometrial cancer patients into low- or high-risk groups. The proteomic analysis of serum samples from endometrial cancer patients was performed using matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MALDI-TOF MS). The data were then analyzed using chemometric algorithms to identify potential biomarkers. Nineteen precursor ions were identified as fragments of eighteen proteins which included (1) connective tissue matrix proteins, (2) cytoskeletal proteins, and (3) innate immune system molecules and stress proteins. These biomarkers could be used to stratify the high- and low-risk patients, thus enabling more precise treatment decisions.

Cancer Stem Cell Markers-Clinical Relevance and Prognostic Value in High-Grade Serous Ovarian Cancer (HGSOC) Based on The Cancer Genome Atlas Analysis.

Cancer stem cells (CSCs) may contribute to an increased risk of recurrence in ovarian cancer (OC). Further research is needed to identify associations between CSC markers and OC patients' clinical outcomes with greater certainty. If they prove to be correct, in the future, the CSC markers can be used to help predict survival and indicate new therapeutic targets. This study aimed to determine the CSC markers at mRNA and protein levels and their association with clinical presentation, outcome, and risk of recurrence in HGSOC (High-Grade Serous Ovarian Cancer). TCGA (The Cancer Genome Atlas) database with 558 ovarian cancer tumor samples was used for the evaluation of 13 CSC markers (ALDH1A1, CD44, EPCAM, KIT, LGR5, NES, NOTCH3, POU5F1, PROM1, PTTG1, ROR1, SOX9, and THY1). Data on mRNA and protein levels assessed by microarray and mass spectrometry were retrieved from TCGA. Models to predict chemotherapy response and survival were built using multiple variables, including epidemiological data, expression levels, and machine learning methodology. ALDH1A1 and LGR5 mRNA expressions indicated a higher platinum sensitivity (p = 3.50 × 10-3; p = 0.01, respectively). POU5F1 mRNA expression marked platinum-resistant tumors (p = 9.43 × 10-3). CD44 and EPCAM mRNA expression correlated with longer overall survival (OS) (p = 0.043; p = 0.039, respectively). THY1 mRNA and protein levels were associated with worse OS (p = 0.019; p = 0.015, respectively). Disease-free survival (DFS) was positively affected by EPCAM (p = 0.004), LGR5 (p = 0.018), and CD44 (p = 0.012). In the multivariate model based on CSC marker expression, the high-risk group had 9.1 months longer median overall survival than the low-risk group (p < 0.001). ALDH1A1, CD44, EPCAM, LGR5, POU5F1, and THY1 levels in OC may be used as prognostic factors for the primary outcome and help predict the treatment response.

Granzyme B in peripheral blood mononuclear cells as a measure of cell-mediated immune response in paraneoplastic neurological syndromes and malignancy.

BACKGROUND: Paraneoplastic neurological syndromes (PNS) may coexist with ovarian or lung cancers. Some tumors coexisting with PNS are smaller and have a better prognosis than tumors without PNS. PNS may constitute an opportunity to observe a natural immune antitumor response. We aimed to investigate a cytotoxic immune response by measuring granzyme B (GrB) in peripheral blood mononuclear cells (PBMC) in patients affected with ovarian or lung malignancy, with and without accompanying PNS. METHODS: We enrolled patients with: nonmalignant lesions (n = 21), ovarian cancer (n = 19), lung cancer (n = 57), and PNS (n = 30). PBMC were isolated by density gradient centrifugation with Ficoll-Paque. We evaluated the expression of GrB in PBMC lysates by ELISA and normalized to protein content as measured by the Lowry method. RESULTS: GrB levels in PBMC in the group with malignant tumors-median 1650 pg/mg protein (interquartile range 663-3260 pg/mg) and in patients with PNS-median 1890 pg/mg protein (range 1290-2640 pg/mg) was lower than in control group with nonmalignant lesions-median 5240 pg/mg protein (range 2160-7440 pg/mg), p = 0.0003 and p = 0.0038, respectively. The differences in GrB levels in PBMC between these groups were independent of epidemiological factors-age, sex, body mass index (BMI), and the number of immune cells, as confirmed by multiple regression analysis. Within the group of patients with malignancy and PNS, GrB levels in PBMC were elevated if onconeural antibodies were detected (2610; 2390-3700 pg/mg protein) as compared to patients without antibodies (1680; 970-1880 pg/mg protein, p = 0.035). GrB in PBMC was higher if the malignancy was diagnosed at the low (3060; 2120-5220 pg/mg protein) as compared to the high stage (1330; 348-2140, p = 0.00048). In patients with lung cancer, the expression of GrB in PBMC was lower (1430; 635-2660 pg/mg protein) than in the group with ovarian cancer (2580; 1730-3730, p = 0.02). CONCLUSION: The cytotoxic response measured in peripheral blood by GrB in PBMC is impaired both in the course of malignancy and PNS. Levels of GrB in PBMC were higher if onconeural antibodies were detected. Tracking reactive immune responses, such as GrB in PBMC may have diagnostic and monitoring value in malignancy and PNS.

Assessment of gynecological and lifestyle-related risk factors of ovarian cancer.

INTRODUCTION: Ovarian cancer remains the most lethal gynecological cancer. Assessment of gynecological and lifestyle-related risk factors is essential to reduce the occurrence and the mortality rate of the disease. MATERIAL AND METHODS: Surveys were collected among 71 patients with ovarian cancer and 76 women without gynecological cancer. Questionnaires included questions about medical history and lifestyle in the past. RESULTS: The control group had breastfed longer (p = 0.034) and used hormonal contraception more often (p = 0.00037) than the study group. The patients in FIGO (French. Fédération internationale de gynécologie et d'obstétrique) stage III or IV had a higher number of lifetime ovulatory cycles (p = 0.001) than the control group. Women at FIGO stage IV slept significantly less than patients at other stages (p = 0.0026). Oncological patients reporting sedentary work more often were diagnosed at advanced stages (p = 0.00328). The risk of ovarian cancer was 0.046 times smaller for women who had given birth (p = 0.025), 0.94 times smaller for every one month longer breastfeeding (p = 0.0428), 0.677 times smaller for every one year older age at menarche (p = 0.0152), 0.106 times smaller for women who had used hormonal contraception (p = 0.0019), and 5.46 times higher for women who ever worked night shifts (p = 0.0128). CONCLUSIONS: Our study proves the importance of both gynecological and lifestyle-related risk factors of ovarian cancer and their impact on its prevalence. Lifestyle-related risk factors cannot be ignored, as they might have a direct influence on the aggravation of the risk of this type of cancer. Promoting an adequate amount of physical activity and sleep, breastfeeding, and having children could improve the detection and treatment of ovarian cancer in general.

Regulation of human chorionic gonadotropin beta subunit expression in ovarian cancer.

PURPOSE: Expression of human chorionic gonadotropin beta subunit by cancers is extensively documented, yet regulation of the multiple genes that can code for this protein is poorly understood. The aim of the study was to examine the mechanisms regulating CGB gene expression in ovarian cancer. METHODS: Expression of CGB genes and SP1, SP3, TFAP2A transcription factor genes was evaluated by RT-qPCR. The methylation status of CGB genes promoter regions was examined by methylation-specific PCR. RESULTS: mRNA arising from multiple CGB genes was detected in both ovarian control and malignant tissues. However, expression of CGB3-9 genes was shown to be significantly higher in malignant than healthy ovarian tissues. CGB1 and CGB2 transcripts were shown to be present in 20% of ovarian cancers, but were not detected in any of the control samples. Malignant tissues were characterized by DNA demethylation of CGB promoter regions. In ovarian cancer CGB expression positively correlated with TFAP2A transcripts level and expression of TFAP2A transcription factor was significantly higher in cancer than in control tissues. In contrast SP3 expression level was significantly lower in ovarian tumours than in control ovarian tissue. CONCLUSIONS: In ovarian cancers increased expression of human chorionic gonadotropin beta subunit is associated with demethylation of CGB promoter regions. CGB3-9 expression level strongly correlates with expression of the TFAP2A transcription factor. Presence of mRNA arising from CGB1 and CGB2 genes appears to be a unique feature of a subset of ovarian cancers.

Understanding Ovarian Cancer: iTRAQ-Based Proteomics for Biomarker Discovery.

Despite many years of studies, ovarian cancer remains one of the top ten cancers worldwide. Its high mortality rate is mainly due to lack of sufficient diagnostic methods. For this reason, our research focused on the identification of blood markers whose appearance would precede the clinical manifestation of the disease. ITRAQ-tagging (isobaric Tags for Relative and Absolute Quantification) coupled with mass spectrometry technology was applied. Three groups of samples derived from patients with: ovarian cancer, benign ovarian tumor, and healthy controls, were examined. Mass spectrometry analysis allowed for highlighting the dysregulation of several proteins associated with ovarian cancer. Further validation of the obtained results indicated that five proteins (Serotransferrin, Amyloid A1, Hemopexin, C-reactive protein, Albumin) were differentially expressed in ovarian cancer group. Interestingly, the addition of Albumin, Serotransferrin, and Amyloid A1 to CA125 (cancer antigen 125) and HE4 (human epididymis protein4) improved the diagnostic performance of the model discriminating between benign and malignant tumors. Identified proteins shed light on the molecular signaling pathways that are associated with ovarian cancer development and should be further investigated in future studies. Our findings indicate five proteins with a strong potential to use in a multimarker test for screening and detection of ovarian cancer.

Proteomic pattern of cervico-vaginal fluid (CVF) in an ovarian cancer diagnosis - pilot study.

OBJECTIVES: High grade serous ovarian cancer (HGSC) is the most common type of ovarian cancer and is responsible for about 90% of ovarian cancer deaths. The diagnostic tests currently used do not increase the detection rates for ovarian cancer. There is a great necessity to develop new and non-invasive diagnostic tests for ovarian cancer (OC). Cervico-vaginal fluid (CVF) seems to be a potential and valuable source of biomarkers for genital tract diseases including ovarian cancer. The aim of our pilot study was to undertake a preliminary proteomic analysis of CVF derived from ovarian cancer patients and to compare these with results from a control group. MATERIAL AND METHODS: We analysed and compared samples from a group of ovarian cancer patients and a control group of healthy patients. The study used MALDI-TOF coupled with nanoLC and ClinProTools software for MS, MS/MS spectra collection and proteomic analysis. RESULTS: We identified 404 different proteins in the OC group and 417 proteins in the control group. 239 of the proteins were found to be common to both study groups, 165 proteins were unique to the OC subjects, and 178 proteins were unique to the control subjects. We selected three proteins as the OC markers with the greatest potential: cysteine-rich secretory protein 3, fibronectin and Ly6/PLAUR domain-containing protein 3. CONCLUSIONS: The proteins we selected seem to possess great potential as markers for the screening and early detection of OC, especially in non-invasive and low-cost diagnostic tests. However, our findings require more advanced and validated proteomic analysis to confirm the suitability of the selected proteins in everyday medical diagnoses.

Assessment of diagnostic utility of multivariate diagnostic models in differential diagnosis of ovarian tumors.

INTRODUCTION: Ovarian cancer (OC) diagnosis remains a clinical challenge due to lack of early symptoms and insufficient accuracy of the available diagnostic methods. The purpose of this study was to determine whether osteopontin could be useful in differential diagnosis of ovarian tumors. MATERIAL AND METHODS: Serum samples from 92 patients qualified for surgical treatment due to ovarian mass were divided into 2 groups according to the histopathological result: OC including borderline ovarian tumors (n = 39) and benign ovarian tumors (BOTs) (n = 53). CA125, HE4 and osteopontin concentrations were measured in all patients. Areas under the receiver operating characteristic curves (AUC of ROC) were used to compare the discriminative ability of the univariate and multivariate diagnostic models. RESULTS: The addition of osteopontin to ROMA significantly improved the diagnostic performance of the test in 3 of the 5 analyses: 1) in the OC vs BOT group (from AUC of 0.955 to 0.975), 2) in premenopausal women OC vs BOT (from AUC of 0.828 to 0.892) and 3) in the FIGO I-II stage OC vs BOT (from AUC of 0.865 to 0.895). It did not alter the diagnostic performance of multifactor tests in the group of postmenopausal women nor in OC FIGO III-IV stage group. Osteopontin was also the best single marker to differentiate between early stage OC and BOTs (AUC of 0.863). CONCLUSIONS: Osteopontin improves the diagnostic performance of a multimarker OC diagnostic test and could be useful in differential diagnosis of ovarian tumors, especially in pre-menopausal women and for early stage OC.

Effectiveness of gabapentin pharmacotherapy in chemotherapy-induced peripheral neuropathy.

OBJECTIVES: Chemotherapy-induced peripheral neuropathy (CIPN) is a common chemotherapy side effect, but its prevention and treatment remains a challenge. Neurotoxicity may lead to dose limitation or even treatment discontinuation, and therefore potentially affect the efficacy of anticancer treatment and long term outcomes. The practice to administer gabapentin for neuropathy may be applicable, but is limited by insufficient studies. The aim of our study was to assess the presence of chemotherapy-induced peripheral neuropathy in ovarian cancer patients treated with first-line paclitaxel and carboplatin chemotherapy and evaluate the effectiveness of gabapentin in treatment of this condition. MATERIAL AND METHODS: 61 ovarian cancer patients treated with first line chemotherapy were included in the study. The first phase of the study was to assess neurological condition of each patient by: neuropathy symptoms scale, McGill's scale, neurological deficit and quality of life, during the chemotherapy. In the second phase of the study we evaluated the response to gabapentin treatment in a group of patients who developed neuropathy. RESULTS: 78.7% of the patients developed chemotherapy related neuropathy. During the course of chemotherapy these patients experienced significant exacerbation of neuropathy symptoms (p < 0.0001), neuropathic pain (p < 0.0001), neurologic deficit (p < 0.0012) and worsening of quality of life (p < 0.0002). Patients who were qualified to undergo the gabapentin treatment observed improvement in symptoms (p < 0.027), pain (p < 0.027) and neurologic deficit (p < 0.019). Quality of life did not change significantly after gabapentin treatment (p < 0.128). CONCLUSIONS: Chemotherapy substantially deteriorates the neurologic condition of the patients and the quality of life. Paclitaxel and carboplatin treated patients may benefit from gabapentin therapy in chemotherapy-induced peripheral neuropathy.

MALDI-TOF-MS analysis in discovery and identification of serum proteomic patterns of ovarian cancer.

BACKGROUND: Due to high mortality and lack of efficient screening, new tools for ovarian cancer (OC) diagnosis are urgently needed. To broaden the knowledge on the pathological processes that occur during ovarian cancer tumorigenesis, protein-peptide profiling was proposed. METHODS: Serum proteomic patterns in samples from OC patients were obtained using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF). Eighty nine serum samples (44 ovarian cancer and 45 healthy controls) were pretreated using solid-phase extraction method. Next, a classification model with the most discriminative factors was identified using chemometric algorithms. Finally, the results were verified by external validation on an independent test set of samples. RESULTS: Main outcome of this study was an identification of potential OC biomarkers by applying liquid chromatography coupled with tandem mass spectrometry. Application of this novel strategy enabled the identification of four potential OC serum biomarkers (complement C3, kininogen-1, inter-alpha-trypsin inhibitor heavy chain H4, and transthyretin). The role of these proteins was discussed in relation to OC pathomechanism. CONCLUSIONS: The study results may contribute to the development of clinically useful multi-component diagnostic tools in OC. In addition, identifying a novel panel of discriminative proteins could provide a new insight into complex signaling and functional networks associated with this multifactorial disease.

Diagnostic Value of Serum Angiogenesis Markers in Ovarian Cancer Using Multiplex Immunoassay.

As cancer development involves pathological vessel formation, 16 angiogenesis markers were evaluated as potential ovarian cancer (OC) biomarkers. Blood samples collected from 172 patients were divided based on histopathological result: OC (n = 38), borderline ovarian tumours (n = 6), non-malignant ovarian tumours (n = 62), healthy controls (n = 50) and 16 patients were excluded. Sixteen angiogenesis markers were measured using BioPlex Pro Human Cancer Biomarker Panel 1 immunoassay. Additionally, concentrations of cancer antigen 125 (CA125) and human epididymis protein 4 (HE4) were measured in patients with adnexal masses using electrochemiluminescence immunoassay. In the comparison between OC vs. non-OC, osteopontin achieved the highest area under the curve (AUC) of 0.79 (sensitivity 69%, specificity 78%). Multimarker models based on four to six markers (basic fibroblast growth factor-FGF-basic, follistatin, hepatocyte growth factor-HGF, osteopontin, platelet-derived growth factor AB/BB-PDGF-AB/BB, leptin) demonstrated higher discriminatory ability (AUC 0.80-0.81) than a single marker (AUC 0.79). When comparing OC with benign ovarian tumours, six markers had statistically different expression (osteopontin, leptin, follistatin, PDGF-AB/BB, HGF, FGF-basic). Osteopontin was the best single angiogenesis marker (AUC 0.825, sensitivity 72%, specificity 82%). A three-marker panel consisting of osteopontin, CA125 and HE4 better discriminated the groups (AUC 0.958) than HE4 or CA125 alone (AUC 0.941 and 0.932, respectively). Osteopontin should be further investigated as a potential biomarker in OC screening and differential diagnosis of ovarian tumours. Adding osteopontin to a panel of already used biomarkers (CA125 and HE4) significantly improves differential diagnosis between malignant and benign ovarian tumours.

Usefulness of Amino Acid Profiling in Ovarian Cancer Screening with Special Emphasis on Their Role in Cancerogenesis.

The aim of this study was to quantitate 42 serum-free amino acids, propose the biochemical explanation of their role in tumor development, and identify new ovarian cancer (OC) biomarkers for potential use in OC screening. The additional value of this work is the schematic presentation of the interrelationship between metabolites which were identified as significant for OC development and progression. The liquid chromatography-tandem mass spectrometry technique using highly-selective multiple reaction monitoring mode and labeled internal standards for each analyzed compound was applied. Performed statistical analyses showed that amino acids are potentially useful as OC biomarkers, especially as variables in multi-marker models. For the distinguishing metabolites the following metabolic pathways involved in cancer growth and development were proposed: histidine metabolism; tryptophan metabolism; arginine biosynthesis; arginine and proline metabolism; and alanine, aspartate and glutamine metabolism. The presented research identifies histidine and citrulline as potential new OC biomarkers. Furthermore, it provides evidence that amino acids are involved in metabolic pathways related to tumor growth and play an important role in cancerogenesis.

Chemotherapy-induced peripheral neuropathy - epidemiology and pathogenesis.

Chemotherapy-induced peripheral neuropathy (CIPN) is one of the most important neurologic complications experienced by patients receiving chemotherapy. The neuropathy often interferes with daily activities and exercise leading to severe impairment of the patient's quality of life (QoL). The evolution of most CIPNs is characterized by a gradual onset of signs/symptoms, beginning in the lower limbs and advancing proximally into a bilateral stocking and glove distribution. Patients often complain of numbness, tingling and pain in the affected areas. The symptoms become aggravated with repeated cycles of chemotherapy. When the offending agent is withheld, the symptoms generally abate, but relief is not guaranteed. The consequences of delay or discontinuation of treatment may affect overall patient survival.

The role of HE4 in differentiating benign and malignant endometrial pathology.

OBJECTIVES: The incidence of endometrial cancer is constantly growing. More aggressive types of endometrial cancer as well as the incidence in younger women is being observed. More than 80% of cases is diagnosed in early stages due to early symptoms like abnormal bleeding. The remaining 20% of asymptomatic cases of endometrial cancer as well as the cases of false negative histopathological diagnoses are mostly the incidences of serous endometrial cancer and are a true diagnostic and therapeutic challenge. This was the reason of our study in which we proposed investigation of HE4 levels as a complementary diagnostic method in management and diagnosing of EC. MATERIAL AND METHODS: Serum HE4 level was measured in 92 patients with abnormal vaginal bleeding. Based on histhology after curretage the study group was divided into the benign and malignant endometrial pathology groups. Statistical analysis was performed using Mann-Whitney test RESULTS: The difference of serum HE4 level between benign endometrial pathology and cancer was significant (p = 0.000) and the cut-off for identification of patients with endometrial cancer was 58.08 pmol/l. There was a significant difference between G2 and G3 endometrial cancer, and G1 and G3. (p = 0,4 and p = 0,008 respectively) Patients who needed lymphadenectomy had significantly higher HE4 level than those who had no indications for this procedure (p = 0,001). CONCLUSIONS: HE4 is a useful biomarker in diagnosing endometrial cancer. HE4 is associated with high grade endometrial cancer. It can also serve as an useful preoperative counseling tool to identify patients, who may require pelvic and paraaortic lymphadenectomy.

Chemotherapy-induced peripheral neuropathy - diagnosis, evolution and treatment.

Chemotherapy-induced peripheral neuropathy (CIPN) is one of the most frequent neurologic complications experienced by patients receiving antineoplastic drugs. Involvement of the peripheral nerves may have an important impact on daily activi-ties and lead to severe impairment of the patient's quality of life (QoL). It seems to be of crucial importance to make a correct and early diagnosis of polyneuropathy and, if possible, spare the patient unnecessary suffering or loss of function. In the preceding article we have presented epidemiology, grading and pathogenesis of the toxic CIPN. The purpose of this article is to review current knowledge of diagnostic techniques, prevention and management strategies in the context of CIPN.

Effect of morphological and functional changes in the secundines on biometric parameters of newborns from dichorionic twin pregnancies.

OBJECTIVES: The aim of the study was to determine if, and to what extent, structural and functional changes of the secundines influence biometric parameters of neonates from dichorionic twin pregnancies. MATERIAL AND METHODS: The study included neonates from dichorionic, diamniotic twin pregnancies, along with their secundines. Based on histopathological examination of the secundines, the mass and dimensions of the placenta, length and condition of the umbilical cord, chorionicity, focal lesions, and microscopic placental abnormalities were determined for 445 pairs of twins. Morphological development of examined twins was characterized on the basis of their six somatic traits, while birth status of the newborns was assessed based on their Apgar scores. Statistical analysis included Student t-tests, Snedecor's F-tests, post-hoc tests, non-parametric chi-squared Pearson's tests, and determination of Spearman coefficients of rank correlation. RESULTS: The lowest values of analyzed somatic traits were observed in twins who had placentas with velamentous or marginal cord insertion. Inflammatory lesions in the placenta and placental abruption turned out to have the greatest impact of all analyzed abnormalities of the secundines. Inflammatory lesions in the placenta were associated with lower values of biometric parameters and a greater likelihood of preterm birth. Neonates with a history of placental abruption were characterized by significantly lower birth weight and smaller chest circumference. CONCLUSIONS: Morphological changes in the secundines have a limited impact on biometric parameters of neonates from dichorionic twin pregnancies. In turn, functional changes exert a significant effect and more often contribute to impaired fetal development.

PARP inhibitors: review of mechanisms of action and BRCA1/2 mutation targeting.

Poly(ADP-ribose) polymerases have shown true promise in early clinical studies due to reported activity in BRCA-associated cancers. PARP inhibitors may represent a potentially important new class of chemotherapeutic agents directed at targeting cancers with defective DNA-damage repair. In order to widen the prospective patient population that would benefit from PARP inhibitors, predictive biomarkers based on a clear understanding of the mechanism of action are required. In addition, a more sophisticated understanding of the toxicity profile is required if PARP inhibitors are to be employed in the curative, rather than the palliative, setting. PARP inhibitors have successfully moved into clinical practice in the past few years, with approval granted from the Food and Drug Administration (FDA) and European Medicines Agency (EMA) within the past two years. The United States FDA approval of olaparib applies to fourth-line treatment in germline BRCA-mutant ovarian cancer, and European EMA approval of olaparib for maintenance therapy in both germline and somatic BRCA-mutant platinum-sensitive ovarian cancer. This review covers the current understanding of PARP, its inhibition, and the basis of the excitement surrounding these new agents. It also evaluates future approaches and directions required to achieve full understanding of the intricate interplay of these agents at the cellular level.

A Combined Metabolomic and Proteomic Analysis of Gestational Diabetes Mellitus.

The aim of this pilot study was to apply a novel combined metabolomic and proteomic approach in analysis of gestational diabetes mellitus. The investigation was performed with plasma samples derived from pregnant women with diagnosed gestational diabetes mellitus (n = 18) and a matched control group (n = 13). The mass spectrometry-based analyses allowed to determine 42 free amino acids and low molecular-weight peptide profiles. Different expressions of several peptides and altered amino acid profiles were observed in the analyzed groups. The combination of proteomic and metabolomic data allowed obtaining the model with a high discriminatory power, where amino acids ethanolamine, L-citrulline, L-asparagine, and peptide ions with m/z 1488.59; 4111.89 and 2913.15 had the highest contribution to the model. The sensitivity (94.44%) and specificity (84.62%), as well as the total group membership classification value (90.32%) calculated from the post hoc classification matrix of a joint model were the highest when compared with a single analysis of either amino acid levels or peptide ion intensities. The obtained results indicated a high potential of integration of proteomic and metabolomics analysis regardless the sample size. This promising approach together with clinical evaluation of the subjects can also be used in the study of other diseases.

[Is the PAP smear era coming to an end?]. / Czy nadchodzi zmierzch skriningu cytologicznego?

After the discovery of the role human papilloma virus (HPV) plays in the development of cervical cancer we are witnesses to a change in the conception and interpretation of cervical cancer prevention processes. Primary prevention gained a new tool in the form of HPV vaccines. Secondary prevention, i.e. detection of cervical intraepithelial neoplasia (GIN), acquired a new diagnostic method--the HPV test. Studies were initiated in order to determine the usefulness of HPV tests in cervical cancer prevention and screening. They revealed that the DNA HPV test used in screening has higher sensitivity in CIN detection than PAP smear and that HPV-negative patients are better and longer protected against developing cervical cancer in comparison to women with normal PAP smear results. HPV tests also possess a predictive value, which detects women more susceptible to developing cervical cancer in the future. PAP smear does not have a predictive value. Instead, it only detects a presence or an absence of neoplasia at that particular time. These results clearly indicate that the era of classic PAP smear is indeed coming to an end, replaced by a new primary CIN screening tool--HPV test. The entire cervical cancer screening system must therefore be redefined and reorganized.