Explore the vast range of titles available.

Background: Several pathological parameters, including tumor size, depth of stromal invasion, lympho-vascular space invasion and lymph node status, have been proposed as prognostic predictors in cervical cancer. However, given the high mortality and recurrence rate of cervical cancer, novel parameters that are able to provide additional prognostic information are needed in order to allow a better prognostic stratification of cervical cancer patients. Methods: A search was conducted on PubMed to identify relevant literature data regarding prognostic factors in cervical cancer. The key words “cervical cancer”, “prognostic factors”, “pathology”, and “outcome” were used. Results: The novel pathological grading system based on tumor budding and cell nest size appeared the most relevant prognostic factor in primary neoplasms. Moreover, other potentially useful prognostic factors were tumor size, depth of stromal invasion, lympho-vascular space invasion, perineural invasion, tumor-free distance and tumor-infiltrating lymphocytes. Prognostic factors related to advanced-stage cervical cancer, including lymph-nodes status, endometrial and cervical involvement as well as distant metastases, were also taken into consideration. Conclusions: According to our findings, tumor budding and cell nest size grading system, depth of stromal invasion, lympho-vascular space invasion, perineural invasion, tumor-free distance and tumor-infiltrating lymphocytes appeared the most relevant factors included in the pathology report.

The aim of the current study is to evaluate the detection rate of micro- and macro-metastases of the One-Step Nucleic Acid Amplification (OSNA) compared to frozen section examination and subsequent ultra-staging examination in early stage endometrial cancer (EC). From March 2016 to June 2016, data of 40 consecutive FIGO stage I EC patients were prospectively collected in an electronic database. The sentinel lymph node mapping was performed in all patients. All mapped nodes were removed and processed. Sentinel lymph nodes were sectioned and alternate sections were respectively examined by OSNA and by frozen section analysis. After frozen section, the residual tissue from each block was processed with step-level sections (each step at 200 micron) including H&E and IHC slides. Sentinel lymph nodes mapping was successful in 29 patients (72.5%). In the remaining 11 patients (27.5%), a systematic pelvic lymphadenectomy was performed. OSNA assay sensitivity and specificity were 87.5% and 100% respectively. Positive and negative predictive values were 100% and 99% respectively, with a diagnostic accuracy of 99%. As far as frozen section examination and subsequent ultra-staging analysis was concerned, we reported sensitivity and specificity of 50% and 94.4% respectively; positive and negative predictive values were 14.3% and 99%, respectively, with an accuracy of 93.6%. In one patient, despite negative OSNA and frozen section analysis of the sentinel node, a macro-metastasis in 1 non-sentinel node was found. The combination of OSNA procedure with the sentinel lymph node mapping could represent an efficient intra-operative tool for the selection of early-stage EC patients to be submitted to systematic lymphadenectomy.

IntroductionGrowing evidence in the literature supports the accuracy of sentinel lymph node (SLN) biopsy in early-stage cervical cancer. One-step nucleic acid amplification (OSNA) is a rapid assay able to detect cytokeratin 19-mRNA in SLNs, and it can be used for intra-operative detection of low-volume metastases. The aim of this study was to evaluate the rate of low-volume metastasis in SLNs detected by OSNA in patients with early-stage cervical cancer. Secondary aims were to define the sensitivity and the negative predictive value of SLN biopsy assessed with OSNA.MethodsAfter IRB approval, consecutive patients who underwent surgery for International Federation of Gynecology and Obstetrics stage IA1 with lymph-vascular space involvement to IB1 between November 2017 and July 2019 and had SLN biopsy and pelvic lymphadenectomy were included. SLNs were detected with indocyanine-green cervical injection and sent intra-operatively for OSNA.ResultsEighteen patients underwent SLN assessment with OSNA and systematic pelvic lymphadenectomy in the study period. Four (22.2%) patients had unilateral and 14 (77.8%) had bilateral mapping. OSNA detected micro-metastasis in 6/18 (33.3%) patients. All micro-metastases were detected in patients with bilateral SLN mapping. The sensitivity and negative predictive value of SLN in detecting lymph node metastasis with OSNA calculated per pelvic sidewall were 85.7% and 96.1%, respectively. The false negative rate in mapped sidewalls was 14.3%.DiscussionThis is the first series entirely processing SLNs for OSNA in early-stage cervical cancer. OSNA is able to intra-operatively detect low-volume metastases in SLNs. Further studies are necessary to confirm the accuracy of this technique and to assess survival implications of low-volume metastases detected by OSNA.

ObjectiveWe compared ultrastaging and one-step nucleic acid amplification (OSNA) examination of sentinel lymph nodes in two homogeneous patient populations diagnosed with early stage cervical cancer. The primary aim of our study was to evaluate the rate and type of sentinel lymph node metastases detected by ultrastaging and OSNA assay. Secondary aims were to define the sensitivity and the negative predictive value of sentinel lymph node biopsy assessed with OSNA and ultrastaging and to define the role of sentinel lymph node assessment in predicting non-sentinel lymph node status.MethodsConsecutive patients who underwent surgery (radical hysterectomy or trachelectomy or cervical conization) at our institution, between January 2018 and March 2020, were enrolled. All patients had a preoperative diagnosis of early-stage cervical carcinoma (International Federation of Gynecology and Obstetrics (FIGO) 2018 stages IA–IIB) and underwent sentinel lymph node assessment with ultrastaging or OSNA. Patients with advanced FIGO stages and special histology subtypes (other than squamous cell carcinoma, adenocarcinoma or adenosquamous carcinoma) or patients with sentinel lymph nodes analyzed only with hematoxylin and eosin were excluded. Clinical data were compared using the χ2 test and Fisher’s exact test. A κ coefficient was determined with respect to lymph node assessment. A p value <0.05 was considered statistically significant.ResultsA total of 116 patients were included in this retrospective analysis (53 ultrastaging, 63 OSNA). Overall, 531 and 605 lymph nodes were removed in the ultrastaging and OSNA groups, respectively, and 140 and 129 sentinel lymph nodes were analyzed in the ultrastaging and OSNA groups, respectively. 22 patients had metastatic sentinel lymph nodes: 6 (11.3%) of 53 patients in the ultrastaging group and 16 (25.4%) of 63 patients in the OSNA group. The total amount of positive SLNs was 7 (5%) of 140 in the ultrastaging group and 21 (16.3%) of 129 in the OSNA group, respectively (p=0.0047). Pelvic lymphadenectomy was performed in 26 (49.1%) of 53 patients in the ultrastaging group and in 34 (54%) of 63 patients in the OSNA group due to comorbidities. Metastatic non-sentinel lymph nodes were found in 4 patients: 2 (7.7%) of 26 patients in the ultrastaging group and 2 (5.9%) of 34 patients in the OSNA group, respectively. The total amount of positive pelvic lymph nodes was 3 (0.6%) of 531 in the ultrastaging group and 4 (0.7%) of 605 in the OSNA group (p=0.61). In the OSNA group, only 2 patients with negative sentinel lymph nodes had metastatic disease in the pelvic lymph nodes. By contrast, no patients with OSNA-positive sentinel lymph nodes had metastases in the pelvic lymph nodes. In the ultrastaging group, all patients with negative sentinel lymph nodes did not have metastatic disease in other pelvic lymph nodes.ConclusionsOSNA assessment of sentinel lymph nodes was associated with a negative predictive value of 91% but poor reliability in detecting node metastases in non-sentinel pelvic lymph nodes. Of note, the ultrastaging protocol revealed higher sensitivity and more reliability in predicting pelvic non-sentinel lymph node status.

BackgroundOvarian adult granulosa cell tumours are low-grade malignant sex cord–stromal neoplasm with a low recurrence rate. Prognostic factors for recurrence include tumor stage, tumor rupture in Stage I neoplasms and the presence of residual tumors after surgery. However, in recurrent tumors, prognostic factors for overall survival (OS) are lacking. In the present paper, we conducted a systematic meta-analysis with the aim to assess prognostic factors for OS in patients with recurrent GCT.MethodsElectronic databases were searched for all studies assessing prognostic factors in recurrent adult granulosa cell tumor of the ovary. Student T test, Fisher’s exact test and Kaplan–Meier survival analysis with long-rank test were used to assess differences among groups; a p value < 0.05 was considered significant.ResultsEleven studies analyzing 102 recurrent tumors were included in the systematic review. Tumor stage and localization of recurrent tumors were significantly associated with OS on Kaplan–Meier analysis; Cox regression analysis showed a HR of 0.879 for the stage II, of 3.052 for the stage III, and of 2.734 for stage IV tumor was significantly associated with OS (p = 0.037); observed HRs for abdominal and thoracic locations were of 2.405 and of 4.024, respectively.ConclusionsIn conclusion, the present article emphasizes the prognostic significance of tumor stage > II and extrapelvic anatomic sites of recurrences in patients with recurrent granuolase cell tumors of the ovary.

Chronic endometritis (CE) is the persistent inflammation of the endometrial lining associated with infertility and various forms of reproductive failures. The diagnosis of CE is based on the histological evidence of stromal plasma cells; however, standardized methods to assess plasma cells are still lacking. In the present paper, we aimed to determine the most appropriate plasma cell threshold to diagnose CE based on pregnancy outcomes. Three electronic databases were searched from their inception to February 2022 for all studies comparing pregnancy outcomes between patients with CE and patients without CE. The relative risk (RR) of pregnancy, miscarriage, and/or live birth rates were calculated and pooled based on the plasma cell threshold adopted. A p-value < 0.05 was considered significant. Nine studies adopting different thresholds (1 to 50 plasma cells/10 HPF) were included. In the meta-analysis, we only found a significant association between miscarriage rate and a plasma cell count ≥ 5/10 HPF (RR = 2.4; p = 0.007). Among studies not suitable for meta-analysis, CE showed an association with worsened pregnancy only when high thresholds (10 and 50/10 HPF) were adopted. In conclusion, our study suggests that the presence of plasma cells at low levels (<5/10 HPF) may not predict worsened pregnancy outcomes. Based on these findings, a threshold of ≥5 plasma cells/10 HPF may be more appropriate to diagnose CE.

Background Breast Cancer (BC) can be classified, due to its heterogeneity, into multiple subtypes that differ for prognosis and clinical management. Notably, triple negative breast cancer (TNBC) – the most aggressive BC form – is refractory to endocrine and most of the target therapies. In this view, taxane-based therapy still represents the elective strategy for the treatment of this tumor. However, due variability in patients’ response, management of TNBC still represents an unmet medical need. Telomeric Binding Factor 2 (TRF2), a key regulator of telomere integrity that is over-expressed in several tumors, including TNBC, has been recently found to plays a role in regulating autophagy, a degradative process that is involved in drug detoxification. Based on these considerations, we pointed, here, at investigating if TRF2, regulating autophagy, can affect tumor sensitivity to therapy. Methods Human TNBC cell lines, over-expressing or not TRF2, were subjected to treatment with different taxanes and drug efficacy was tested in terms of autophagic response and cell proliferation. Autophagy was evaluated first biochemically, by measuring the levels of LC3, and then by immunofluorescence analysis of LC3-puncta positive cells. Concerning the proliferation, cells were subjected to colony formation assays associated with western blot and FACS analyses. The obtained results were then confirmed also in mouse models. Finally, the clinical relevance of our findings was established by retrospective analysis on a cohort of TNBC patients subjected to taxane-based neoadjuvant chemotherapy. Results This study demonstrated that TRF2, inhibiting autophagy, is able to increase the sensitivity of TNBC cells to taxanes. The data, first obtained in in vitro models, were then recapitulated in preclinical mouse models and in a cohort of TNBC patients, definitively demonstrating that TRF2 over-expression enhances the efficacy of taxane-based neoadjuvant therapy in reducing tumor growth and its recurrence upon surgical intervention. Conclusions Based on our finding it is possible to conclude that TRF2, already known for its role in promoting tumor formation and progression, might represents an Achilles’ heel for cancer. In this view, TRF2 might be exploited as a putative biomarker to predict the response of TNBC patients to taxane-based neoadjuvant chemotherapy.

“Egg pasta” is a kind of pasta prepared by adding eggs in the dough; the color of this product is often associated to its quality, as it is proportional to the quantity of egg present in the dough. A possible adulteration on this product is represented by the addition of turmeric (not reported in the label) in the dough. The inclusion of this ingredient (which is minimal, given the strong coloring power of this spice) fraudulently accentuates the yellow color of the product, making it more attractive to the consumer. Given this scenario, the aim of the present work is to develop an analytical approach suitable at detecting the presence of turmeric as an adulterant in egg pasta. One hundred samples of traditional and adulterated egg pasta were analyzed by NIR spectroscopy and PLS-DA (Partial Least Squares Discriminant Analysis) in order to discriminate adulterated and compliant pasta. The classification model provided a total correct classification rate of 97.5% in external validation (40 samples). Eventually, the adulterant was quantified by PLS. This strategy provided satisfying results, achieving a RMSEP (Root Mean Square Error in Prediction) of 0.112 (%-w/w) in external validation.

Background Triple-negative breast cancer (TNBC) is a very heterogeneous disease. Several gene expression and mutation profiling approaches were used to classify it, and all converged to the identification of distinct molecular subtypes, with some overlapping across different approaches. However, a standardised tool to routinely classify TNBC in the clinics and guide personalised treatment is lacking. We aimed at defining a specific gene signature for each of the six TNBC subtypes proposed by Lehman et al. in 2011 (basal-like 1 (BL1); basal-like 2 (BL2); mesenchymal (M); immunomodulatory (IM); mesenchymal stem-like (MSL); and luminal androgen receptor (LAR)), to be able to accurately predict them. Methods Lehman’s TNBCtype subtyping tool was applied to RNA-sequencing data from 482 TNBC (GSE164458), and a minimal subtype-specific gene signature was defined by combining two class comparison techniques with seven attribute selection methods. Several machine learning algorithms for subtype prediction were used, and the best classifier was applied on microarray data from 72 Italian TNBC and on the TNBC subset of the BRCA-TCGA data set. Results We identified two signatures with the 120 and 81 top up- and downregulated genes that define the six TNBC subtypes, with prediction accuracy ranging from 88.6 to 89.4%, and even improving after removal of the least important genes. Network analysis was used to identify highly interconnected genes within each subgroup. Two druggable matrix metalloproteinases were found in the BL1 and BL2 subsets, and several druggable targets were complementary to androgen receptor or aromatase in the LAR subset. Several secondary drug–target interactions were found among the upregulated genes in the M, IM and MSL subsets. Conclusions Our study took full advantage of available TNBC data sets to stratify samples and genes into distinct subtypes, according to gene expression profiles. The development of a data mining approach to acquire a large amount of information from several data sets has allowed us to identify a well-determined minimal number of genes that may help in the recognition of TNBC subtypes. These genes, most of which have been previously found to be associated with breast cancer, have the potential to become novel diagnostic markers and/or therapeutic targets for specific TNBC subsets.