From molecular insight to therapeutic strategy: The holistic approach for treating triple negative breast cancer.

Aim of the present study was to analyze the molecular pathogenesis of TNBC, therapeutic practice, challenges, and future goals in treatment strategies. Based on the alterations of distinct pathways, Lehmann's subgroups of TNBCs were further categorized. Those with defective DNA damage repair and replication pathways, viz. Basal Like 1 & 2 (BL1, BL2) were found susceptible to DNA intercalating drugs while those with upregulated cell signalling & motility (mesenchymal (M), mesemchymal stem like (MSL)), cell survival (BL2, M, MSL), angiogenesis (BL2, MSL), T cell signalling (Immunomodulatory/IM) pathways required targeted therapies. Our Meta-analysis categorized 12 randomized previous trial cases, solely under the following drug regimens: [1] DNA destabilizers, [2] PARP inhibitors, [3] Microtubule stabilizers, [4] Angiogenesis inhibitors, [5] Antimetabolite, [6] T cell targeted therapy; as single or combinational therapy. Best therapeutic efficacies of DNA destabilizers with angiogenesis inhibitors in combination than monotherapy with either (OR: 5.011-7.286; p value<0.001) indicated a significant prevalence of BL1 type TNBCs in populations. Statistical significance with antimetabolites as combination therapy (OR: 2.343; p value: 0.018) and not with microtubule stabilizer (OR: 0.377) were observed. Thus, for best ORR in TNBC, personalized medicine should be the therapeutic choice for the clinicians.

Enhancements in localized classification for uterine cervical cancer digital histology image assessment.

BACKGROUND: In previous research, we introduced an automated, localized, fusion-based approach for classifying uterine cervix squamous epithelium into Normal, CIN1, CIN2, and CIN3 grades of cervical intraepithelial neoplasia (CIN) based on digitized histology image analysis. As part of the CIN assessment process, acellular and atypical cell concentration features were computed from vertical segment partitions of the epithelium region to quantize the relative distribution of nuclei. METHODS: Feature data was extracted from 610 individual segments from 61 images for epithelium classification into categories of Normal, CIN1, CIN2, and CIN3. The classification results were compared against CIN labels obtained from two pathologists who visually assessed abnormality in the digitized histology images. In this study, individual vertical segment CIN classification accuracy improvement is reported using the logistic regression classifier for an expanded data set of 118 histology images. RESULTS: We analyzed the effects on classification using the same pathologist labels for training and testing versus using one pathologist labels for training and the other for testing. Based on a leave-one-out approach for classifier training and testing, exact grade CIN accuracies of 81.29% and 88.98% were achieved for individual vertical segment and epithelium whole-image classification, respectively. CONCLUSIONS: The Logistic and Random Tree classifiers outperformed the benchmark SVM and LDA classifiers from previous research. The Logistic Regression classifier yielded an improvement of 10.17% in CIN Exact grade classification results based on CIN labels for training-testing for the individual vertical segments and the whole image from the same single expert over the baseline approach using the reduced features. Overall, the CIN classification rates tended to be higher using the training-testing labels for the same expert than for training labels from one expert and testing labels from the other expert. The Exact class fusion- based CIN discrimination results obtained in this study are similar to the Exact class expert agreement rate.

Nuclei-Based Features for Uterine Cervical Cancer Histology Image Analysis With Fusion-Based Classification.

Cervical cancer, which has been affecting women worldwide as the second most common cancer, can be cured if detected early and treated well. Routinely, expert pathologists visually examine histology slides for cervix tissue abnormality assessment. In previous research, we investigated an automated, localized, fusion-based approach for classifying squamous epithelium into Normal, CIN1, CIN2, and CIN3 grades of cervical intraepithelial neoplasia (CIN) based on image analysis of 61 digitized histology images. This paper introduces novel acellular and atypical cell concentration features computed from vertical segment partitions of the epithelium region within digitized histology images to quantize the relative increase in nuclei numbers as the CIN grade increases. Based on the CIN grade assessments from two expert pathologists, image-based epithelium classification is investigated with voting fusion of vertical segments using support vector machine and linear discriminant analysis approaches. Leave-one-out is used for the training and testing for CIN classification, achieving an exact grade labeling accuracy as high as 88.5%.

An evaluation of knowledge, attitude, and practice of institutional ethics committee members from eastern India regarding ethics committee functioning and pharmacovigilance activities conducted during clinical trials: A pilot study.

PURPOSE OF STUDY: The vital responsibility of Institutional Ethics Committee (IEC) members is to ensure the safety of the subjects participating in clinical trials. Hence, it is essential for IEC members to be aware of the common pharmacovigilance strategies followed during clinical trials. However, the information about the knowledge, attitude, and practice of IEC members regarding the pharmacovigilance activities followed during clinical trials is scarce worldwide, especially in India. Hence, this cross-sectional study was designed to assess the knowledge, attitude, and practice of IEC members of 10 hospitals of Kolkata, India. MATERIALS AND METHODS: A cross-sectional study using a self-administered, validated questionnaire was conducted among 10 hospitals (five government and five corporate hospitals) in Kolkata conducting active clinical research and having functional Ethics Committees (ECs) in the month of September-November, 2012. An IEC approval was taken for this study. Two reminders were given to all EC members through telephone/e-mail for completion and returning of the forms. The filled in forms were returned to their respective Member Secretaries, from whom authors' collected the forms. Data were analyzed using SPSS version 16.0 software and MS-Excel 2007. Categorical data were analyzed using Chi-square test and a P < 0.05 was considered statistically significant. RESULTS: Out of the 100 distributed questionnaires, 40 were returned of which 10 were not filled properly. Overall awareness regarding different pharmacovigilance terminologies and activities among EC members from nonmedical background (71.43%) was found to be more than that of the medical members (68.75%), though the figure was not statistically significant. Majority of the members (75%) felt that EC should decide compensation in case of a serious adverse event. CONCLUSION: The present study signifies that there is a low level of awareness in IEC members of Kolkata regarding pharmacovigilance activities conducted during clinical trials; and, hence the functioning of the ECs to safeguard the safety of patients during clinical trials remains questionable. There is a definite need for immediate intervention in the form of mandatory training hours for EC members about pharmacovigilance activities and reporting timelines to ensure clinical trial subject safety in the long run.