Empowering real-time flood impact assessment through the integration of machine learning and Google Earth Engine: a comprehensive approach.

Floods cause substantial losses to life and property, especially in flood-prone regions like northwestern Bangladesh. Timely and precise evaluation of flood impacts is critical for effective flood management and decision-making. This research demonstrates an integrated approach utilizing machine learning and Google Earth Engine to enable real-time flood assessment. Synthetic aperture radar (SAR) data from Sentinel-1 and the Google Earth Engine platform were employed to generate near real-time flood maps of the 2020 flood in Kurigram and Lalmonirhat. An automatic thresholding technique quantified flooded areas. For land use/land cover (LULC) analysis, Sentinel-2's high resolution and machine learning models like artificial neural networks (ANN), random forests (RF) and support vector machines (SVM) were leveraged. ANN delivered the best LULC mapping with 0.94 accuracy based on metrics like accuracy, kappa, mean F1 score, mean sensitivity, mean specificity, mean positive predictive value, mean negative value, mean precision, mean recall, mean detection rate and mean balanced accuracy. Results showed over 600,000 people exposed at peak inundation in July-about 17% of the population. The machine learning-enabled LULC maps reliably identified vulnerable areas to prioritize flood management. Over half of croplands flooded in July. This research demonstrates the potential of integrating SAR, machine learning and cloud computing to empower authorities through real-time monitoring and accurate LULC mapping essential for effective flood response. The proposed comprehensive methodology can assist stakeholders in developing data-driven flood management strategies to reduce impacts.

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.

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.

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.

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.

Controlled surface functionalization of Ni-S nanostructures for pH-responsive selective and superior pollutants adsorption.

Herein, we developed a synthetic strategy to functionalize Ni-S nanostructures (NS) using a facile precipitation method at moderate temperature. The surface functionality of NS is controlled by varying amount of mixed surfactants to achieve the pH-responsive selective adsorption of anionic and cationic dyes and the adsorption of ciprofloxacin (CIP) and tetracycline (TC) antibiotics. Powder XRD diffraction pattern revealed the phase of NS was changed from α-NiS to mixed phases after functionalization. The surface area of functionalized NS was significantly enhanced by ~5 times of that unfunctionalized NS as 6.6 m2g-1 to 30.3 m2g-1. The NS selectively adsorbed methyl orange (MO) at pH 4.5 and methylene blue (MB) at pH 11.5 with separation efficiency values of 94.2% and 97.9% respectively. The maximum adsorption capacity for MO, MB, TC and CIP are obtained as 1526.3, 1031.2, 1540.8 and 632.4 mg g-1, respectively. The electrostatic interaction is predominantly involved in the adsorption of dyes whereas adsorption of antibiotics changed to hydrogen bonding and metal coordination. Thermodynamics parameters indicated exothermic and spontaneous adsorption of dyes. The optimized adsorbent is easily recyclable. Thus, the developed strategy of functionalization of nanostructures unveils a practical approach towards selective and efficient adsorption of organic pollutants.

Deciphering the molecular pathways of apoptosis using purified fractions from leaf extract of Basella alba through studying the regulation of apoptosis related genes.

Apoptosis plays a pivotal role in the exclusion of abnormal cells without any ruin of surrounding healthy cells. Generally, it occurs through an orderly and autonomously process which is controlled by proper function of various genes. Therefore, the current experiments detect the expression level/pattern of those genes to confirm the involvement of extrinsic and intrinsic pathway using Basella alba leaf (BAL). Several fractions after gel filtration chromatography of BAL extract have been pooled to evaluates its apoptosis induction potentiality on Ehrlich's Ascites Carcinoma (EAC) cells through conducting a number of bio-assays such as cell growth inhibition assay, fluorescence and optical microscopy, DNA fragmentation assay and gene expression analysis etc. The pooled fractions of BAL showed 12-56% inhibitory effect on EAC cell line at the concentration range of 25-400 µg/ml that was determined by MTT (3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl tetrazolium bromide) assay. They also exhibited excellent cell growth inhibition at in vivo and in vitro condition when treated with 10, 20 and 40 mg/kg day. After administration of six consequent days, significant morphological features of apoptosis were observed in EAC cells under both fluorescence and optical microscope which was further supported by DNA fragmentation assay. The polymerase chain reaction amplification of bax, bcl-2 (B-cell lymphoma 2), p53, tumor necrosis factor-α, Fas, NF-kß (Nuclear factor-Kappa-B), PARP-1 (Poly (ADP-ribose) polymerase), Cyt-c cas-8, cas-9 and cas-3 revealed that the experimental sample able to induce apoptosis in both extrinsic and intrinsic pathways through altering the gene expression. The current findings suggest that sample from BAL occupy wonderful competence to induce cell apoptosis and become an ideal resource for cancer treatment.

Differential expression of Bax-Bcl-2 and PARP-1 confirms apoptosis of EAC cells in Swiss albino mice by Morus laevigata.

A safer natural alternative to treat neoplastic cells by inducing apoptosis is a prime requisite. Therefore, the current study was to evaluate the antiproliferative activity of Morus laevigata, a wild-type Mulberry species. Antioxidant and cytotoxic activity of aqueous extracts of M. laevigata leaf (MLL) and M. laevigata bark (MLB) were evaluated. The in vivo cell growth inhibition was assessed on Ehrlich's ascites carcinoma (EAC) bearing mice model. Fluorescent microscopy and expression of PARP-1, Bax, and Bcl-2 through qPCR were performed to evaluate apoptosis. MLL and MLB extracts show promising antioxidant property with an IC50 value of 186.76 µg/ml and 352.97 µg/ml, respectively, with a decent LD50 value of 99.16 µg/ml and 92.54 µg/ml for MLL and MLB extract, respectively, indicated notable cytotoxicity. Cell growth inhibition was observed using MLL and MLB extracts were 68.33% and 48.66%, respectively. The morphological alteration, DNA fragmentation, and differential expression of Bax, Bcl-2, and PARP-1 confirm the induction of the intrinsic pathway of apoptosis. PRACTICAL APPLICATIONS: Plant-based medicine always plays a tremendous role in preventing several fatal diseases like cancer. The study evaluated the anticancer activity of a wild-type mulberry. Moreover, the potent antioxidant activity of the plant makes it possible to be a great candidate for cancer remedy. Besides, the molecular expression of the genes related to apoptosis confirms the plant's bioactive compounds could be a drug lead to neoplastic cells in the future. Presences of an immense antioxidant properties urge that they can be contribute in cancer treatment through the cell death pathways.

In-vivo antiproliferative activity of Morus latifolia leaf and bark extracts against Ehrlich's ascites carcinoma.

Cancer is the second death causing disease all over the world and until today 100 different types of cancer have been identified whose treatment methods consist of serious side effects on human body. To reduce the frequency of adverse effects of cancer treatment, nowadays plant derived natural components are getting priority. The plant Morus latifolia is widely available in northern part of Bangladesh. The earlier researches suggested that popular varieties of some Morus sp. like Morus alba, Morus indica etc. have good anti-proliferative activity. Hence, this study was designed to evaluate the anti-proliferative activity of leaf and bark extracts of M. latifolia against Ehrlich's ascites carcinoma (EAC) in vivo. The leaf and bark extracts of M. latifolia were used in several bioassays including Brine shrimp lethality test, hemagglutination activity test, antioxidant activity test, and cell growth inhibition test. Besides, fluorescence microscopy was performed to study apoptotic features in EAC cells, and molecular analysis like real-time PCR were also conducted. The results of Brine shrimp lethality test, hemagglutination activity test, and antioxidant activity assay supported the cell growth inhibition capability of leaf and bark extracts which was confirmed by in vivo cell growth inhibition bioassay. Moreover, the experimental extracts were able to induce cell apoptotis through altering the expression pattern of Bcl-2 and Bax genes. All of the results of this study suggest that several noble compounds are present in M. latifolia plant extracts which are capable for healing cancer cells.

Trends in the prevalence of overweight among Bangladeshi children aged 24-59 months (2004-2014) by sex and socioeconomic status.

BACKGROUND: While recent evidence suggests that the overall prevalence of overweight in young children in Bangladesh is low, little is known about variation in trends by sex, socioeconomic status, urbanicity, and region. We investigated the trends in overweight among children aged 24-59 months by these factors, using nationally representative samples from Bangladesh Demographic and Health Surveys (BDHS) between 2004 and 2014. METHODS: Data from four BDHS surveys conducted between 2004 and 2014, with valid height and weight measurements of children, were included in this study (n = 15,648). BMI was calculated and the prevalence of overweight (including obesity) was reported using the International Obesity Taskforce (IOTF) classification system. To explore the association between socioeconomic status and childhood overweight, we used multivariable logistic regression. RESULTS: The overall prevalence of overweight among children aged 24-59 months increased from 1.60% (95% CI: 1.20-2.05%) in 2004 to 2.33% (95% CI: 1.82-2.76%) in 2014. Among girls, the overweight trend increased significantly (adjusted odds ratio (OR) comparing 2014 vs. 2004: 2.02 95% CI: 1.52-2.68), whereas among boys the trend remained steady. When compared with households with the poorest wealth index, households with richest wealth index had higher odds of childhood overweight among both boys (OR 2.39, 95% CI: 1.76-3.25) and girls (OR 1.86, 95% CI: 1.35-2.55). Higher household education level was also associated with childhood overweight. Subgroup analyses showed that relative inequalities by these factors increased between 2004 and 2014 when adjusted for potential confounders. CONCLUSIONS: There is a rising trend in overweight prevalence exclusively among girls aged 24-59 months in Bangladesh. Childhood overweight is associated with higher household education and wealth index, and the relative disparity by these factors appears to be increasing over time. These unmet inequalities should be considered while developing national public health programs and strategies.

Selective removal of anionic dyes with exceptionally high adsorption capacity and removal of dichromate (Cr2O72-) anion using Ni-Co-S/CTAB nanocomposites and its adsorption mechanism.

An adsorbent Ni-Co-S/CTAB nanocomposites have been synthesized at low temperature in aqueous medium using nickel acetate, cobalt acetate, thioacetamide and hexadecyltrimethyl ammonium bromide (CTAB) as reagents. The nanocomposites exhibited exceptionally high adsorption capacity towards anionic adsorbates with high selectivity. The maximum adsorption capacity of nanocomposites were 1995.02 mg g-1 for Congo red (CR), 2223.15 mg g-1 for Methyl orange (MO) anionic dyes and 790.69 mg g-1 for Cr2O72- metal anion. They exhibit negligible adsorption ability towards cationic dyes 2.33 mg g-1 for MB and 42.05 mg g-1 for RhB. The nanocomposite is able to adsorb anionic dyes from a binary mixture of cationic and anionic dyes with high separation factor. It also shows good results with synthetic effluents. The removal of adsorbates followed modified Zhu and Gu isotherm model. FTIR and Zeta-potential measurement confirmed that electrostatic interactions are predominating factor for the adsorption of anionic adsorbates followed by hydrophobic interactions between adsorbates. Moreover, ethanol is used to regenerate the adsorbent and reused up to five times with good adsorption capacities. Thus, the nanocomposite can be used as an efficient adsorbent for the removal and seperation of anionic adsorbates from binary mixtures as well as synthetic effluents.

BACH1 Stabilization by Antioxidants Stimulates Lung Cancer Metastasis.

For tumors to progress efficiently, cancer cells must overcome barriers of oxidative stress. Although dietary antioxidant supplementation or activation of endogenous antioxidants by NRF2 reduces oxidative stress and promotes early lung tumor progression, little is known about its effect on lung cancer metastasis. Here, we show that long-term supplementation with the antioxidants N-acetylcysteine and vitamin E promotes KRAS-driven lung cancer metastasis. The antioxidants stimulate metastasis by reducing levels of free heme and stabilizing the transcription factor BACH1. BACH1 activates transcription of Hexokinase 2 and Gapdh and increases glucose uptake, glycolysis rates, and lactate secretion, thereby stimulating glycolysis-dependent metastasis of mouse and human lung cancer cells. Targeting BACH1 normalized glycolysis and prevented antioxidant-induced metastasis, while increasing endogenous BACH1 expression stimulated glycolysis and promoted metastasis, also in the absence of antioxidants. We conclude that BACH1 stimulates glycolysis-dependent lung cancer metastasis and that BACH1 is activated under conditions of reduced oxidative stress.

In Vivo Anticancer Activity of Basella alba Leaf and Seed Extracts against Ehrlich's Ascites Carcinoma (EAC) Cell Line.

Cancer is a class of diseases characterized by uncontrolled cell growth. The current treatment options of cancer are radiotherapy, chemotherapy, hormone therapy, and surgery, where all of them have unpleasant side effects. Due to their adverse side effects, it is challenging to develop new drug for cancer treatment. Hence, the scientists are trying to seek for noble compounds from natural sources to treat cancer. Therefore, in the present investigation, a widely consumable vegetable Basella alba was subjected to evaluate its antiproliferative effect along with molecular signaling of apoptosis in Ehrlich ascites carcinoma (EAC) cell line. Cell growth inhibition was determined by haemocytometer whereas apoptosis of cancer cells were studied by florescence microscope using Hoechst-33342 stain and result was supported by DNA fragmentation and certain cancer related genes expression through PCR analysis. B. alba leaf and seed extract exhibit a considerable scavenging activity in comparison to a standard antioxidant BHT. Moreover, the leaf and seed extracts were able to agglutinate 2% RBC of goat blood at minimum 12.5µg/ml and 50.0µg/ml concentration, respectively. A significant cytotoxic activity was also found in both leaf and seed extract. In haemocytometic observation, the leaf and seed extracts exhibit about 62.54±2.41% and 53.96±2.34% cell growth inhibition, respectively, whereas standard anticancer drug Bleomycin showed 79.43±1.92% growth inhibition. Morphological alteration under fluorescence microscope showed nuclear condensation and fragmentation which is the sign of apoptosis. Apoptosis induction was also confirmed by DNA laddering in leaf and seed treated EAC cells. Upregulation of the tumor suppressor gene P53 and downregulation of antiapoptotic gene Bcl-2 enumerate apoptosis induction. Therefore, current study manifested that leaf and seed extracts of B. alba have antiproliferative activity against EAC cell line and can be a potent source of anticancer agents to treat cancer.