Artificial intelligence in digital histopathology for predicting patient prognosis and treatment efficacy in breast cancer

INTRODUCTION

Histological images contain phenotypic information predictive of patient outcomes. Due to the heavy workload of pathologists, the time-consuming nature of quantitatively assessing histological features, and human eye limitations to recognize spatial patterns, manually extracting prognostic information in routine pathological workflows remains challenging. Digital pathology has facilitated the mining and quantification of these features utilizing whole-slide image (WSI) scanners and artificial intelligence (AI) algorithms. AI algorithms to identify image-based biomarkers from the tumor microenvironment (TME) have the potential to revolutionize the field of oncology, reducing delays between diagnosis and prognosis determination, allowing for rapid stratification of patients and prescription of optimal treatment regimes, thereby improving patient outcomes.

AREAS COVERED

In this review, the authors discuss how AI algorithms and digital pathology can predict breast cancer patient prognosis and treatment outcomes using image-based biomarkers, along with the challenges of adopting this technology in clinical settings.

EXPERT OPINION

The integration of AI and digital pathology presents significant potential for analyzing the TME and its diagnostic, prognostic, and predictive value in breast cancer patients. Widespread clinical adoption of AI faces ethical, regulatory, and technical challenges, although prospective trials may offer reassurance and promote uptake, ultimately improving patient outcomes by reducing diagnosis-to-prognosis delivery delays.

Measuring the effectiveness of an integrated intervention package to improve the level of infection prevention and control: a multi-centre study in Bangladesh

BACKGROUND

Infection prevention and control (IPC) is a critical component of delivering safe, effective and high-quality healthcare services, and eliminating avoidable healthcare-associated infections (HAIs) in health facilities, predominantly in population-dense settings such as Bangladesh.

AIM

Our study aimed to assess the effect of an integrated intervention package in improving the IPC level of the health facilities in Bangladesh.

METHODS

We conducted a pre-post intervention study in six district hospitals (DHs) and 13 Upazila Health Complexes (UHCs) in the six districts of Bangladesh. Baseline and endline assessments were conducted between March and December 2021 using the adapted World Health Organization Infection Prevention and Control Assessment Framework (WHO-IPCAF) tool. The IPCAF score, ranging from 0-800, was calculated by adding the scores of eight components, and the IPC promotion and practice level was categorized as Inadequate (0-200), Basic (201-400), Intermediate (401-600) and Advanced (601-800). The integrated intervention package including IPC committee formation, healthcare provider training, logistics provision, necessary guidelines distribution, triage/flu corners establishment, and infrastructure development was implemented in all facilities.

RESULTS

The average IPCAF score across all the facilities showed a significant increase from 16% (95% CI: 11.5-20.65%) to 54% (95% CI: 51.4-57.1%). Overall, the IPCAF score increased by 34 percentage points (P<0.001) in DHs and 40 percentage points (P<0.001) in UHCs. Following the intervention, 12 (three DHs, nine UHCs) of 19 facilities progressed from inadequate to intermediate, and another three DHs upgraded from basic to intermediate in terms of IPC level.

CONCLUSION

The integrated intervention package improved IPCAF score in all facilities.

Image-based multiplex immune profiling of cancer tissues: translational implications. A report of the International Immuno-oncology Biomarker Working Group on Breast Cancer

Recent advances in the field of immuno-oncology have brought transformative changes in the management of cancer patients. The immune profile of tumours has been found to have key value in predicting disease prognosis and treatment response in various cancers. Multiplex immunohistochemistry and immunofluorescence have emerged as potent tools for the simultaneous detection of multiple protein biomarkers in a single tissue section, thereby expanding opportunities for molecular and immune profiling while preserving tissue samples. By establishing the phenotype of individual tumour cells when distributed within a mixed cell population, the identification of clinically relevant biomarkers with high-throughput multiplex immunophenotyping of tumour samples has great potential to guide appropriate treatment choices. Moreover, the emergence of novel multi-marker imaging approaches can now provide unprecedented insights into the tumour microenvironment, including the potential interplay between various cell types. However, there are significant challenges to widespread integration of these technologies in daily research and clinical practice. This review addresses the challenges and potential solutions within a structured framework of action from a regulatory and clinical trial perspective. New developments within the field of immunophenotyping using multiplexed tissue imaging platforms and associated digital pathology are also described, with a specific focus on translational implications across different subtypes of cancer. © 2024 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.

Perceptions of antibiotic stewardship programmes and determinants of antibiotic prescribing patterns among physicians in tertiary hospitals in Bangladesh: implications for future policy and practice

BACKGROUND

The concerning growth of antimicrobial resistance (AMR) renders common infections life-threatening due to irrational antibiotic use and a lack of effective antimicrobial stewardship programmes (ASPs).

AIM

To investigate the awareness, perceptions and practices of physicians regarding ASPs, AMR and antibiotic prescribing in tertiary care hospitals in Bangladesh.

METHODS

This hospital-based cross-sectional survey was conducted in 11 tertiary care hospitals across Bangladesh between September 2020 and January 2021. A semi-structured questionnaire was administered through face-to-face interviews for data collection. Descriptive and multi-variate analyses were performed using STATA Version 13.

RESULTS

In total, 559 physicians were enrolled in this survey. Overall, 40.6% [95% confidence interval (CI) 36.5-44.8] of physicians reported being aware of ASPs, and this figure was higher in public hospitals compared with private hospitals (43.8% vs 27.1%). None of the study hospitals had any ASP initiatives. More than half (55.1%) of the participants were willing to receive feedback from an ASP on their antibiotic selection. Only 30.9% of respondents stated that they wait for the findings of microbiological tests before prescribing antibiotics, although challenges included empiric use of broad-spectrum antibiotics, delayed laboratory results and the existence of drug-resistant patients. In contrast, physicians aware of ASPs were 33% (adjusted odds ratio 0.67, 95% CI 0.45-0.98; P=0.033) less likely to wait for laboratory results before prescribing antibiotics. However, 42.5% of physicians considered patient affordability of purchasing antibiotics when prescribing.

CONCLUSIONS

Physicians' fundamental knowledge of ASPs and rational antibiotic prescription were found to fall short of the standard. Context-specific and integrated ASP activities, availability and use of guidelines, and improved laboratory facilities are required to battle AMR in Bangladesh.

Analysis of Germin-like protein genes family in Vitis vinifera (VvGLPs) using various in silico approaches

Abstract Germin-like proteins (GLPs) play an important role against various stresses. Vitis vinifera L. genome contains 7 GLPs; many of them are functionally unexplored. However, the computational analysis may provide important new insight into their function. Currently, physicochemical properties, subcellular localization, domain architectures, 3D structures, N-glycosylation & phosphorylation sites, and phylogeney of the VvGLPs were investigated using the latest computational tools. Their functions were predicted using the Search tool for the retrieval of interacting genes/proteins (STRING) and Blast2Go servers. Most of the VvGLPs were extracellular (43%) in nature but also showed periplasmic (29%), plasma membrane (14%), and mitochondrial- or chloroplast-specific (14%) expression. The functional analysis predicted unique enzymatic activities for these proteins including terpene synthase, isoprenoid synthase, lipoxygenase, phosphate permease, receptor kinase, and hydrolases generally mediated by Mn+ cation. VvGLPs showed similarity in the overall structure, shape, and position of the cupin domain. Functionally, VvGLPs control and regulate the production of secondary metabolites to cope with various stresses. Phylogenetically VvGLP1, -3, -4, -5, and VvGLP7 showed greater similarity due to duplication while VvGLP2 and VvGLP6 revealed a distant relationship. Promoter analysis revealed the presence of diverse cis-regulatory elements among which CAAT box, MYB, MYC, unnamed-4 were common to all of them. The analysis will help to utilize VvGLPs and their promoters in future food programs by developing resistant cultivars against various biotic (Erysiphe necator and in Powdery Mildew etc.) and abiotic (Salt, drought, heat, dehydration, etc.) stresses.

Determinants of early sexual initiation among female adolescents in Bangladesh: evidence from a countrywide cross-sectional survey

OBJECTIVES

Early sexual initiation (ESI), defined as sexual activity that begins before 15 or 18 years of age, is one of the risky sexual behaviours that has been linked to increased likelihood of adverse consequences, such as sexually transmitted diseases, unintended pregnancies and unsafe abortions. However, to date, there are no studies investigating the prevalence and factors influencing ESI among adolescent females (aged 10-19 years) in Bangladesh. Thus, this study aimed to identify the potential determinants of ESI among adolescent females in Bangladesh based on data that are representative of the country.

STUDY DESIGN

This was a cross-sectional study.

METHODS

Based on the availability of the data, the analysis included a weighted sample of 2051 adolescent females aged 15-19 years from the Bangladesh Demographic and Health Survey 2017/18. Initial selection of predictor variables was based on the bivariate analysis using the Chi-squared test. Univariate and multivariable logistic regression modelling were performed to measure the crude and adjusted effect of the selected predictor variables on ESI using the odds ratio (OR). The elasticity of the effects was calculated by their 95% confidence intervals (CIs).

RESULTS

Approximately 22% and 85% of female adolescents experienced ESI before the age of 15 and 18 years, respectively. Findings revealed that illiteracy (adjusted OR [AOR]: 3.61, 95% CI: 1.82-7.18), primary education (AOR: 2.08, 95% CI: 1.60-2.69), working status (AOR: 1.25, 95% CI: 0.98-1.60), living in Chittagong (AOR: 0.46, 95% CI: 0.27-0.79), living in Sylhet (AOR: 0.21, 95% CI: 0.08-0.56), reading newspapers (AOR: 0.63, 95% CI: 0.40-1.01), earlier marriage preference (AOR: 3.30, 95% CI: 2.31-4.71) and later marriage preference (AOR: 4.10, 95% CI: 3.01-5.59) were significantly linked with ESI before the age of 15 years. ESI before the age of 18 years was significantly association with primary education (AOR: 1.47, 95% CI: 1.01-2.13), religion (AOR: 0.55, 95% CI: 0.32-0.94), female household head (AOR: 1.93, 95% CI: 1.17-3.19), living in Rajshahi (AOR: 1.97, 95% CI: 0.95-4.08), being in the 'poorest' wealth category (AOR: 2.43, 95% CI: 1.45-4.07), being in the 'poorer' wealth category (AOR: 1.70, 95% CI: 1.06-2.72), being in the 'middle' wealth category (AOR: 1.76, 95% CI: 1.12-2.77), being in the 'richer' wealth category (AOR: 1.58, 95% CI: 1.02-2.44), earlier marriage preference (AOR: 15.71, 95% CI: 9.09-27.14), later marriage preference (AOR: 12.62, 95% CI: 8.82-18.06) and heard about family planning (AOR: 0.70, 95% CI: 0.47-1.04).

CONCLUSIONS

In Bangladesh, the prevalence of ESI among female adolescents is a public health concern. Due to the detrimental impact of ESI on the well-being of adolescents, it is crucial that policymakers consider the factors influencing ESI that have been identified in this study when designing health strategies. The findings from this study will help the development of evidence-based effective initiatives by policymakers in collaboration with governmental and non-governmental organisations.

Hand hygiene compliance and associated factors among healthcare workers in selected tertiary-care hospitals in Bangladesh

BACKGROUND

Hand hygiene (HH) is a fundamental element of patient safety. Adherence to HH among healthcare workers (HCWs) varies greatly depending on a range of factors, including risk perceptions, institutional culture, auditing mechanisms, and availability of HH supplies.

AIMS

This study aimed to evaluate HH compliance and associated factors among HCWs in selected tertiary-care hospitals in Bangladesh.

METHODS

During September 2020 to May 2021, we conducted non-participatory observations at 10 tertiary-care hospitals using the WHO's '5-moments for hand hygiene tool' to record HH compliance among physicians, nurses and cleaning staff. We also performed semi-structured interviews to determine the key barriers to complying with HH.

RESULTS

We observed 14,668 hand hygiene opportunities. The overall HH compliance was 25.3%, the highest among nurses (28.5%), and the lowest among cleaning staff (9.9%). HCWs in public hospitals had significantly higher odds of complying with HH practices than those in private hospitals (adjusted odds ratio: 1.73, 95% CI: 1.55-1.93). The odds of performing HH after touching a patient were 3.36 times higher compared with before touching a patient (95% CI: 2.90-3.90). The reported key barriers to performing HH were insufficient supplies (57.9%), skin reactions (26.3%), workload (26.3%) and lack of facilities (22.7%). Overall, observed HH supplies were available in 81.7% of wards for physicians and 95.1% of wards for nurses, however, no designated HH facilities were found for the cleaning staff.

CONCLUSIONS

HH compliance among HCWs fell significantly short of the standard for safe patient care. Inadequate HH supplies demonstrate a lack of prioritizing, promoting and investing in infection prevention and control.

Pitfalls in machine learning-based assessment of tumor-infiltrating lymphocytes in breast cancer: A report of the International Immuno-Oncology Biomarker Working Group on Breast Cancer

The clinical significance of the tumor-immune interaction in breast cancer is now established, and tumor-infiltrating lymphocytes (TILs) have emerged as predictive and prognostic biomarkers for patients with triple-negative (estrogen receptor, progesterone receptor, and HER2-negative) breast cancer and HER2-positive breast cancer. How computational assessments of TILs might complement manual TIL assessment in trial and daily practices is currently debated. Recent efforts to use machine learning (ML) to automatically evaluate TILs have shown promising results. We review state-of-the-art approaches and identify pitfalls and challenges of automated TIL evaluation by studying the root cause of ML discordances in comparison to manual TIL quantification. We categorize our findings into four main topics: (1) technical slide issues, (2) ML and image analysis aspects, (3) data challenges, and (4) validation issues. The main reason for discordant assessments is the inclusion of false-positive areas or cells identified by performance on certain tissue patterns or design choices in the computational implementation. To aid the adoption of ML for TIL assessment, we provide an in-depth discussion of ML and image analysis, including validation issues that need to be considered before reliable computational reporting of TILs can be incorporated into the trial and routine clinical management of patients with triple-negative breast cancer. © 2023 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.

Spatial analyses of immune cell infiltration in cancer: current methods and future directions: A report of the International Immuno-Oncology Biomarker Working Group on Breast Cancer

Modern histologic imaging platforms coupled with machine learning methods have provided new opportunities to map the spatial distribution of immune cells in the tumor microenvironment. However, there exists no standardized method for describing or analyzing spatial immune cell data, and most reported spatial analyses are rudimentary. In this review, we provide an overview of two approaches for reporting and analyzing spatial data (raster versus vector-based). We then provide a compendium of spatial immune cell metrics that have been reported in the literature, summarizing prognostic associations in the context of a variety of cancers. We conclude by discussing two well-described clinical biomarkers, the breast cancer stromal tumor infiltrating lymphocytes score and the colon cancer Immunoscore, and describe investigative opportunities to improve clinical utility of these spatial biomarkers. © 2023 The Pathological Society of Great Britain and Ireland.

Short-term Treatment Outcome of Patients with Acute ST-elevation Myocardial Infarction in a Tertiary Care Hospital

Outcome of acute ST-elevation myocardial infarction patients varies time to time. The present study was intended to find out the short-term treatment outcome of the patients admitted in hospital. This descriptive study was carried out in Bangabandhu Sheikh Mujib Medical University (BSMMU), Dhaka, Bangladesh from 15 January 2014 to 14 July 2014. A total of 100 patients admitted with Acute ST-elevation Myocardial Infarction confirmed on the presence of the (a) Typical chest pain of acute ST-elevation Myocardial Infarction (b) Electrocardiogram (ECG) evidence of ST segment elevation in two or more contiguous leads (c) Raised cardiac marker (Troponin I) were included in the study. Patients were randomly enrolled according to the inclusion and exclusion criteria and observe for one week. Data were processed and analyzed by using computer bases software SPSS version 19.0. Descriptive statistical methods were applied for data analysis. P value was considered as statistically significant when it is less than 0.05. Short-term treatment outcome of acute ST-elevation myocardial infarction include mechanical, arrhythmic, ischemic and inflammatory sequelae, as well as left ventricular mural thrombus. In addition to these broad categories, heart failure, arrhythmia, death are other common complications of AMI. The initiation of the complications usually results in explicit sign and symptoms of the acute MI patients. Learning of the complications in the post infarction period and the clinical syndromes develop with each complication, will allow the health care worker to evaluate and manage the complication appropriately.

DUODENAL LEIOMYOMA AS A RARE CAUSE OF GASTROINTESTINAL BLEEDING IN A NIGERIAN- CASE REPORT WITH PRESENTATION OF MINIMALLY INVASIVE THERAPEUTIC INTERVENTION

Findings from Nigerian pathological series have supported international reports about the rarity of the occurrence of duodenal leiomyomas. More recently, case reports from the country have detailed interventional radiological techniques being deployed successfully in the control of massive bleeding from the gastrointestinal system. The article seeks to document these rare elements coming together in a Lagos, Nigeria-based center in the case of bleeding duodenal leiomyoma in an elderly gentleman which was successfully controlled by selective transcatheter arterial embolization.

Exchange bias effect in polycrystalline Bi0.5Sr0.5Fe0.5Cr0.5O3 bulk

Bulk Bi_0.5Sr_0.5Fe_0.5Cr_0.5O₃ (BSFCO) is a new compound comprising the R3c structure. The structural, magnetic property and exchange bias (EB) details are investigated. The material was in the super-paramagnetic (SP) state at room temperature. Exchange bias usually occurs at the boundary between different magnetic states after field cooling (H_FC) acts on the sample. Here the result shows that changing H_FC from 1 to 6 T reduces the H_EB value by 16% at 2 K at the same time. Meanwhile, H_EB diminishes as the ferromagnetic layer thickness increases. The variation of (the thickness of ferromagnetic layer) t_FM with the change of H_FC leads to the tuning of H_EB by H_FC in BSFCO bulk. These effects are obviously different from the phenomenon seen in other oxide types.

Abstract 5787: Modelling the spatial heterogeneity of CD45-positive tumor infiltrating lymphocytes in early-stage, estrogen receptor-positive breast cancer

The frequency of lymphocytes infiltrating tumors is a known prognostic in estrogen receptor (ER) negative cancers. ER+ disease is putatively believed to be immune cold, however, there exists a subset of ER+ tumors with high immune infiltrate and with a significant spatial heterogeneity. The clinic impact of such infiltrate - especially between the Oncotype Dx Recurrence Score risk categories - remains unclear. Moreover, the distribution of tumor and stromal tissues, while noted as significantly heterogenous, is still ill-defined and not yet clinically used prognostically, despite evidence to support its utility. Using a cohort (n=450) of serial sections taken from early-stage, ER+/HER2- breast tumors of the Irish arm of the TAILORx clinical trial, we aimed to investigate the tumor architecture and spatial distribution of tumor immune infiltrate and proliferating tumor cells using digital image analysis. Antibodies against Ki67 (proliferation marker) and CD45 (leukocyte common antigen), and a routine Haematoxylin and Eosin stain were applied to serial sections of 450 full-face tumors via chromogenic immunohistochemistry, as outlined previously [1]. Digital image analysis was performed using open-source software, QuPath [2]. Pixel classifiers were trained and validated against an expert pathologist in order to define observed lymphocytes as tumor or stromal-infiltrating, and to establish a classifier to quantify the tumor-stroma ratio (TSR) and infiltrating tumor area. Distances of CD45-positive cells from tumor were computed, along with autocorrelation statistics [3,4] of CD45 and Ki67 hotspots; firstly in order to quantify spatial heterogeneity, and secondly to examine whether Ki67 as a component gene in the Oncotype Dx assay has a foundation in tumor biology or is being confounded by potentially Ki67-positive lymphocytes. Subdividing by Oncotype Dx risk categories, no significant difference in TSR was observed (p=0.09799), neither for intermediary risk patients receiving hormone therapy alone or in combination with chemotherapy (p=0.3873). While there was an observed trend overall (p=0.092), no significance was found for recurrence between intermediary risk subcategories (HT alone: p=0.393, HT+CT: p=0.288). However, in the cohort as a whole, median TSR was 0.3215 (range 0 - 5.023), with statistically significant differences in recurrence risk observed (cohort high v low by median TSR. HR: 6.356, 95CI: 2.263-17.84, p&lt;0.0001).

Citation Format: Zak Kinsella, Anna Blümel, Mairi Lucas, Andreas Lindner, Claudia A. Gonzalez, Arman Rahman, Joanna Fay, Tony O'Grady, Verena Murphy, John Crown, Cathy Kelly, William Gallagher, Darran O'Connor. Modelling the spatial heterogeneity of CD45-positive tumor infiltrating lymphocytes in early-stage, estrogen receptor-positive breast cancer. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 5787.

Effect of Duration of Hemostatic Compression on Radial Artery Occlusion after Transradial Percutaneous Coronary Intervention

Radial artery occlusion (RAO) is now a major concern in transradial approach (TRA). RAO limits future radial artery use for further TRA, for as a conduit during CABG, for invasive hemodynamic monitoring and for creation of arteriovenous fistula for hemodialysis in Chronic Kidney Disease (CKD) patients through same vascular approach. The effect of duration of hemostatic compression of RAO is unknown in Bangladesh. This prospective observational study was conducted in the department of Cardiology, National Institute of Cardiovascular Diseases, Dhaka, Bangladesh (NICVD) from September 2018 to August 2019, to evaluate the effect of duration of hemostatic compression on the incidence of radial artery occlusion (RAO) after transradial percutaneous coronary intervention. A total of 140 patients underwent percutaneous coronary intervention (PCI) through TRA. RAO was defined as an absence of antegrade flow or monophasic flow or invert flow on Duplex study. In this study 70 patients (Group I) received 2 hours hemostatic compression after transradial PCI. Another 70 patients (Group II) received 6 hours hemostatic compression after transradial PCI. Radial arterial blood flow assessed at early (24 hours) and late (30 days) by color duplex study after the procedure in both groups. Early radial artery occlusion occurred in 4.3% of patients in Group I and 12.8% of patients in Group II, (p=0.04). Late radial artery occlusion occurred in 2.8% of patients in Group I and 11.4% of patients in Group II, the difference was statistically significant (p=0.04). From multivariate logistic regression analysis duration of hemostatic compression time 6 hours (p=0.01), post-procedural nitroglycerine use (p=0.03) and procedure time (p=0.03) were predictors of RAO. Shorter duration of hemostatic compression is associated with a lower incidence of early and late radial artery occlusion after transradial intervention.

Non-invasive classification of single and double-yolk eggs using Vis-NIR spectroscopy and multivariate analysis

1. This study was conducted to develop an efficient technique for separating double-yolked (DY) from single-yolked (SY) light brown broiler eggs with comparable shape and size, that were hard to distinguish merely by their external characteristics, using Vis-NIR transmission spectroscopy combined with multivariate analysis.2. Spectroscopic transmission (200-900 nm) was measured after collecting the eggs, and the yolk number was verified by breaking the eggs after boiling. The absorbance of important spectral wavelengths sensitive to yolk amount were identified using feature selection techniques (Principal Component Analysis and Genetic Algorithm).3. Discriminant analysis (DA) and support vector machine (SVM) classifiers were used to develop classification models for DY and SY eggs using the selected important spectral wavelengths.4. When compared to alternative nonlinear techniques, the developed model applying linear discriminant analysis produced greater accuracies in the first (96%) and second (100%) experiments, implying lower inter-egg variability from spectral data and a linear relationship between classes. However, the position and orientation of yolks in DY eggs may limit the classification accuracy of the eggs.

1,4-dihydroxy quininib modulates the secretome of uveal melanoma tumour explants and a marker of oxidative phosphorylation in a metastatic xenograft model

Uveal melanoma (UM) is an intraocular cancer with propensity for liver metastases. The median overall survival (OS) for metastatic UM (MUM) is 1.07 years, with a reported range of 0.84-1.34. In primary UM, high cysteinyl leukotriene receptor 1 (CysLT₁) expression associates with poor outcomes. CysLT₁ antagonists, quininib and 1,4-dihydroxy quininib, alter cancer hallmarks of primary and metastatic UM cell lines in vitro. Here, the clinical relevance of CysLT receptors and therapeutic potential of quininib analogs is elaborated in UM using preclinical in vivo orthotopic xenograft models and ex vivo patient samples. Immunohistochemical staining of an independent cohort (n = 64) of primary UM patients confirmed high CysLT₁ expression significantly associates with death from metastatic disease (p = 0.02; HR 2.28; 95% CI 1.08-4.78), solidifying the disease relevance of CysLT₁ in UM. In primary UM samples (n = 11) cultured as ex vivo explants, 1,4-dihydroxy quininib significantly alters the secretion of IL-13, IL-2, and TNF-α. In an orthotopic, cell line-derived xenograft model of MUM, 1,4-dihydroxy quininib administered intraperitoneally at 25 mg/kg significantly decreases ATP5B expression (p = 0.03), a marker of oxidative phosphorylation. In UM, high ATP5F1B is a poor prognostic indicator, whereas low ATP5F1B, in combination with disomy 3, correlates with an absence of metastatic disease in the TCGA-UM dataset. These preclinical data highlight the diagnostic potential of CysLT₁ and ATP5F1B in UM, and the therapeutic potential of 1,4-dihydroxy quininib with ATP5F1B as a companion diagnostic to treat MUM.

Knowledge, attitude and practices regarding dengue and its vector among medical practitioners in Malakand region, Pakistan

Abstract Dengue fever (DF) is increasingly recognized as one of the world’s major mosquito borne diseases and causes significant morbidity and mortality in tropical and subtropical countries. Dengue fever is endemic in most part of Pakistan and continues to be a public health concern. Knowledge, attitude and practices can play an important role in management of the disease. Current study was aimed to determine the level of knowledge, attitude and practices regarding dengue fever among health practitioners, to study the level of knowledge and attitude with preventive practices for dengue fever. A cross sectional study was carried out in medical practitioners of the four districts of Malakand region during October to November 2019. A pre-structured questionnaire was used to collect data from medical practitioners. Data was analyzed using Graph Pad version 5. Significant value was considered when less than 0.05 (at 95% confidence of interval). The results revealed that most of participants have seen dengue vector (62%), the media being the most quoted source of information. Nearly 81.2% participants were aware from transmission of dengue fever is by mosquito bite. Practices based upon preventive measures were found to be predominantly focused towards prevention of mosquito bites rather than elimination of breeding places. Although the knowledge regarding DF and mosquito control measure was quite high among the medical practitioners but this knowledge was not put into practice. Further studies are required to aware the people about dengue and its vector in order to get prevention and control.

Human health exposure and risks of arsenic from contaminated soils and brinjal fruits collected from different producers and retailers levels

A quantitative assessment was attempted to determine concentrations of total arsenic (As) in farmer's field soils and fruits of brinjal collected from two famous brinjals producing Upazila's, namely Melandaha and Islampur of Jamalpur district, Bangladesh. The study also evaluated cancer and non-cancer health risks for both males and females caused by dermal exposure of soils and dietary intake of brinjal grown in farmers' fields and sold at different markets of four country districts. The study findings revealed that 75% of soil sampling locations had enrichment factor (EFc) values > 1.5, indicating the anthropogenic sources of As, and 50% of the sites possessed EFc values within the range of 2.0-5.0 indicated moderate enrichment of As. The mean concentrations of As in brinjal grown in farmers' fields and retailers of different markets of four districts were 0.18 and 0.39 µg g^-1, respectively. The soils of the study area exhibited negligible risk in terms of the calculated hazard quotient, hazard index and incremental lifetiame cancer risk (ILCR) values for As due to dermal and ingestion exposures. In contrast, the same values for As due to the dietary intake of brinjal were thousands of times greater than the threshold level in 40% of farmers' field and all retailers' levels samples. Compared to the producer/farmers' field samples, the calculated average non-carcinogenic and carcinogenic health risks were more than twice in samples collected from different retailers. The present study suggests further pinpoint investigation of potential entry routes of As in the supply chain through future traceability studies.

Mapping the Immune Landscape in Metastatic Melanoma Reveals Localized Cell-Cell Interactions That Predict Immunotherapy Response

While immune checkpoint-based immunotherapy (ICI) shows promising clinical results in patients with cancer, only a subset of patients responds favorably. Response to ICI is dictated by complex networks of cellular interactions between malignant and nonmalignant cells. Although insights into the mechanisms that modulate the pivotal antitumoral activity of cytotoxic T cells (Tcy) have recently been gained, much of what has been learned is based on single-cell analyses of dissociated tumor samples, resulting in a lack of critical information about the spatial distribution of relevant cell types. Here, we used multiplexed IHC to spatially characterize the immune landscape of metastatic melanoma from responders and nonresponders to ICI. Such high-dimensional pathology maps showed that Tcy gradually evolve toward an exhausted phenotype as they approach and infiltrate the tumor. Moreover, a key cellular interaction network functionally linked Tcy and PD-L1+ macrophages. Mapping the respective spatial distributions of these two cell populations predicted response to anti-PD-1 immunotherapy with high confidence. These results suggest that baseline measurements of the spatial context should be integrated in the design of predictive biomarkers to identify patients likely to benefit from ICI.

SIGNIFICANCE

This study shows that spatial characterization can address the challenge of finding efficient biomarkers, revealing that localization of macrophages and T cells in melanoma predicts patient response to ICI. See related commentary by Smalley and Smalley, p. 3198.

Application of Artificial Intelligence Techniques to Predict Risk of Recurrence of Breast Cancer: A Systematic Review

Breast cancer is the most common disease among women, with over 2.1 million new diagnoses each year worldwide. About 30% of patients initially presenting with early stage disease have a recurrence of cancer within 10 years. Predicting who will have a recurrence and who will not remains challenging, with consequent implications for associated treatment. Artificial intelligence strategies that can predict the risk of recurrence of breast cancer could help breast cancer clinicians avoid ineffective overtreatment. Despite its significance, most breast cancer recurrence datasets are insufficiently large, not publicly available, or imbalanced, making these studies more difficult. This systematic review investigates the role of artificial intelligence in the prediction of breast cancer recurrence. We summarise common techniques, features, training and testing methodologies, metrics, and discuss current challenges relating to implementation in clinical practice. We systematically reviewed works published between 1 January 2011 and 1 November 2021 using the methodology of Kitchenham and Charter. We leveraged Springer, Google Scholar, PubMed, and IEEE search engines. This review found three areas that require further work. First, there is no agreement on artificial intelligence methodologies, feature predictors, or assessment metrics. Second, issues such as sampling strategies, missing data, and class imbalance problems are rarely addressed or discussed. Third, representative datasets for breast cancer recurrence are scarce, which hinders model validation and deployment. We conclude that predicting breast cancer recurrence remains an open problem despite the use of artificial intelligence.