Parametric Comparison of K-means and Adaptive K-means Clustering Performance on Different Images

Image segmentation takes a major role to analyzing the area of interest in image processing. Many researchers have used different types of techniques to analyzing the image. One of the widely used techniques is K-means clustering. In this paper we use two algorithms K-means and the advance of K-means is called as adaptive K-means clustering. Both the algorithms are using in different types of image and got a successful result. By comparing the Time period, PSNR and RMSE value from the result of both algorithms we prove that the Adaptive K-means clustering algorithm gives a best result as compard to K-means clustering in image segmentation.   

Extensive intraductal component positive carcinoma of breast: two year study with special reference to ER/PR/HER2NEU/Ki67 in a tertiary care centre of Barak Valley

Background: Extensive intraductal component positive carcinoma (EICPC) of breast is defined by Schnitt et al as-A. 25% or more of Ductal carcinoma in situ (DCIS) is present along the invasive lesion and DCIS is also present outside the area of invasive carcinoma. B. EICPC also include carcinomas in which DCIS is associated with a “small” (approximately 10 mm or less) invasive carcinoma or carcinomas. In Extensive Intraductal Carcinoma (EIDC) most of the cases were associated with recurrence when surgical margin status is not evaluated or focally involved. Our objective was to study the prevalence of EIDC and expression of estrogen receptor (ER)/progesterone receptor (PR)/human epidermal growth factor (HER2NEU)/Ki67(antigen identified by monoclonal antibody KI67) in those cases.Methods: It was a retrospective cross sectional study conducted over a period of 2017 to August 2019.All the histologically confirmed cases of EIDC was retrieved from the institute.Results: Out of 65 cases of invasive carcinoma 17 (26.1%) cases were positive for EICPC. Age of patients ranged from 27 to 73years with mean age of 43 years and 5 patients (29.4%) were postmenopausal. Most of the cases  i.e. 6(35.2%) had a ER+/PR+/HER2NEU- status with most of the cases having high 6(47%)Ki-67 index. According to the BLOOM RICHARDSON GRADING 14 cases were grade II (82.3%) and 3 cases were grade I (17.7%) and in pT and pN staging majority were stage pT1 - 7 (41.1%). Most of the cases were mastectomy cases 11 (64.4%) with a base free status except in one lumpectomy case where margin was involved.Conclusions: In this study majority of the cases were ER+//PR+/HER2NEU- with most of the cases having high Ki67 index. Evaluation of EIDC, along with the negative margin status is important to prevent recurrence

Hematological and Inflammatory Biomarkers among Stable COPD and Acute Exacerbations of COPD Patients

Objectives: Chronic Obstructive Pulmonary Disease (COPD) is heterogeneous in nature. Acute exacerbation of COPD (AECOPD) is diagnosed clinically which is subjective and clinical judgment may vary from clinician to clinician. Since chronic inflammation underlies the pathogenesis of COPD, markers of inflammation have generated lot of interest for their potential to be used as biomarkers of COPD. This study aimed to assess the variation in levels of neutrophil lymphocyte ratio (NLR) and platelet indices in patients with stable COPD and acute exacerbation of COPD patients and its association with GOLD stages. Methods: This prospective analytical study was carried out in our tertiary care hospital from December 2018 to July 2020. About 64 subjects (32- stable COPD, 32- AECOPD) who satisfied study criteria were included. Blood sample was taken from stable and AECOPD patients and were compared. Results: It was observed that Neutrophil Lymphocyte Ratio, Platelet Distribution Width, Erythrocyte Sedimentation Rate and C-Reactive Protein were increased in AECOPD patients when compared with stable COPD patients which was statistically significant with p value of <0.001. A positive correlation was observed between Neutrophil Lymphocyte Ratio, Platelet Distribution Width and Erythrocyte Sedimentation Rate, C-Reactive Protein which was statistically significant with p value of <0.001. Conclusion: We found that neutrophil lymphocyte ratio and platelet distribution width values increased significantly in AECOPD patients when compared to stable COPD patients. Keywords: AECOPD; COPD; Neutrophil Lymphocyte Ratio; Platelet Distribution Width

Effect of Chronic Athletic Activity on Brown Fat in Young Women

Background: The effect of chronic exercise activity on brown adipose tissue (BAT) is not clear, with some studies showing positive and others showing negative associations. Chronic exercise is associated with increased resting energy expenditure (REE) secondary to increased lean mass and a probable increase in BAT. Many athletes are in a state of relative energy deficit suggested by lower fat mass and hypothalamic amenorrhea. States of severe energy deficit such as anorexia nervosa are associated with reduced BAT. There are no data regarding the impact of chronic exercise activity on BAT volume or activity in young women and it is unclear whether relative energy deficiency modifies the effects of exercise on BAT. Purpose We assessed cold induced BAT volume and activity in young female athletes compared with non-athletes, and further evaluated associations of BAT with measures of REE, body composition and menstrual status. Methods: The protocol was approved by our Institutional Review Board. Written informed consent was obtained from all participants prior to study initiation. This was a cross-sectional study of 24 women (16 athletes and8 non-athletes) between 18–25 years of age. Athletes were either oligo-amenorrheic (n = 8) or eumenorrheic (n = 8).We used PET/CT scans to determine cold induced BAT activity, VMAX Encore 29 metabolic cart to obtain measures of REE, and DXA for body composition. Results: Athletes and non-athletes did not differ for age or BMI. Compared with non-athletes, athletes had lower percent body fat (p = 0.002), higher percent lean mass (p = 0.01) and trended higher in REE (p = 0.09). BAT volume and activity in athletes trended lower than in non-athletes (p = 0.06; p = 0.07, respectively). We found negative associations of BAT activity with duration of amenorrhea (r = -0.46, p = 0.02).BAT volume correlated inversely with lean mass (r = -0.46, p = 0.02), and positively with percent body fat, irisin and thyroid hormones. Conclusions: Our study shows a trend for lower BAT in young female athletes compared with non-athletes, and shows associations of brown fat with menstrual status and body composition. Brown fat may undergo adaptive reductions with increasing energy deficit

Genomic, Pathway Network, and Immunologic Features Distinguishing Squamous Carcinomas

This integrated, multiplatform PanCancer Atlas study co-mapped and identified distinguishing molecular features of squamous cell carcinomas (SCCs) from five sites associated with smokin

Pan-Cancer Analysis of lncRNA Regulation Supports Their Targeting of Cancer Genes in Each Tumor Context

Long noncoding RNAs (lncRNAs) are commonly dys-regulated in tumors, but only a handful are known toplay pathophysiological roles in cancer. We inferredlncRNAs that dysregulate cancer pathways, onco-genes, and tumor suppressors (cancer genes) bymodeling their effects on the activity of transcriptionfactors, RNA-binding proteins, and microRNAs in5,185 TCGA tumors and 1,019 ENCODE assays.Our predictions included hundreds of candidateonco- and tumor-suppressor lncRNAs (cancerlncRNAs) whose somatic alterations account for thedysregulation of dozens of cancer genes and path-ways in each of 14 tumor contexts. To demonstrateproof of concept, we showed that perturbations tar-geting OIP5-AS1 (an inferred tumor suppressor) andTUG1 and WT1-AS (inferred onco-lncRNAs) dysre-gulated cancer genes and altered proliferation ofbreast and gynecologic cancer cells. Our analysis in-dicates that, although most lncRNAs are dysregu-lated in a tumor-specific manner, some, includingOIP5-AS1, TUG1, NEAT1, MEG3, and TSIX, synergis-tically dysregulate cancer pathways in multiple tumorcontexts

Pan-cancer Alterations of the MYC Oncogene and Its Proximal Network across the Cancer Genome Atlas

Although theMYConcogene has been implicated incancer, a systematic assessment of alterations ofMYC, related transcription factors, and co-regulatoryproteins, forming the proximal MYC network (PMN),across human cancers is lacking. Using computa-tional approaches, we define genomic and proteo-mic features associated with MYC and the PMNacross the 33 cancers of The Cancer Genome Atlas.Pan-cancer, 28% of all samples had at least one ofthe MYC paralogs amplified. In contrast, the MYCantagonists MGA and MNT were the most frequentlymutated or deleted members, proposing a roleas tumor suppressors.MYCalterations were mutu-ally exclusive withPIK3CA,PTEN,APC,orBRAFalterations, suggesting that MYC is a distinct onco-genic driver. Expression analysis revealed MYC-associated pathways in tumor subtypes, such asimmune response and growth factor signaling; chro-matin, translation, and DNA replication/repair wereconserved pan-cancer. This analysis reveals insightsinto MYC biology and is a reference for biomarkersand therapeutics for cancers with alterations ofMYC or the PMN

Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images

Beyond sample curation and basic pathologic characterization, the digitized H&E-stained images of TCGA samples remain underutilized. To highlight this resource, we present mappings of tumorinfiltrating lymphocytes (TILs) based on H&E images from 13 TCGA tumor types. These TIL maps are derived through computational staining using a convolutional neural network trained to classify patches of images. Affinity propagation revealed local spatial structure in TIL patterns and correlation with overall survival. TIL map structural patterns were grouped using standard histopathological parameters. These patterns are enriched in particular T cell subpopulations derived from molecular measures. TIL densities and spatial structure were differentially enriched among tumor types, immune subtypes, and tumor molecular subtypes, implying that spatial infiltrate state could reflect particular tumor cell aberration states. Obtaining spatial lymphocytic patterns linked to the rich genomic characterization of TCGA samples demonstrates one use for the TCGA image archives with insights into the tumor-immune microenvironment

Treatment Guidance for Patients With Lung Cancer During the Coronavirus 2019 Pandemic

The global coronavirus disease 2019 pandemic continues to escalate at a rapid pace inundating medical facilities and creating substantial challenges globally. The risk of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in patients with cancer seems to be higher, especially as they are more likely to present with an immunocompromised condition, either from cancer itself or from the treatments they receive. A major consideration in the delivery of cancer care during the pandemic is to balance the risk of patient exposure and infection with the need to provide effective cancer treatment. Many aspects of the SARS-CoV-2 infection currently remain poorly characterized and even less is known about the course of infection in the context of a patient with cancer. As SARS-CoV-2 is highly contagious, the risk of infection directly affects the cancer patient being treated, other cancer patients in close proximity, and health care providers. Infection at any level for patients or providers can cause considerable disruption to even the most effective treatment plans. Lung cancer patients, especially those with reduced lung function and cardiopulmonary comorbidities are more likely to have increased risk and mortality from coronavirus disease 2019 as one of its common manifestations is as an acute respiratory illness. The purpose of this manuscript is to present a practical multidisciplinary and international overview to assist in treatment for lung cancer patients during this pandemic, with the caveat that evidence is lacking in many areas. It is expected that firmer recommendations can be developed as more evidence becomes available