A5085199509- IL-33, ST2, and ILC Pathways
- Bioinformatics and Genomic Networks
- Computational Drug Discovery Methods
- Statistical Distribution Estimation and Applications
- Gene expression and cancer classification
- Ubiquitin and proteasome pathways
- Bayesian Methods and Mixture Models
- Cancer Genomics and Diagnostics
- COVID-19 epidemiological studies
- Forecasting Techniques and Applications
- COVID-19 Pandemic Impacts
- Statistical Methods and Bayesian Inference
- Microtubule and mitosis dynamics
- Advanced Statistical Methods and Models
- Cancer Mechanisms and Therapy
- Ferroptosis and cancer prognosis
- Peptidase Inhibition and Analysis
- Advanced Breast Cancer Therapies
- Cancer Cells and Metastasis
- Mechanisms of cancer metastasis
- Cancer, Lipids, and Metabolism
- Protein Degradation and Inhibitors
- Hydrology and Drought Analysis
- Histone Deacetylase Inhibitors Research
- 14-3-3 protein interactions
International Islamic University, Islamabad
2018-2025
Institute of Cancer Research
2020-2023
Breast Cancer Now
2016-2023
King's College London
2016-2019
Guy's Hospital
2016-2019
London Cancer
2018
Kings Health Partners
2016
University of Southampton
2016
Quaid-i-Azam University
2013
Abstract Cancer cells tend to metastasize first tumor-draining lymph nodes, but the mechanisms mediating cancer cell invasion into lymphatic vasculature remain little understood. Here, we show that in human breast tumor microenvironment (TME), presence of increased numbers RORγt+ group 3 innate lymphoid (ILC3) correlates with an likelihood node metastasis. In a preclinical mouse model cancer, CCL21-mediated recruitment ILC3 tumors stimulated production CXCL13 by TME stromal cells, which turn...
Abstract SF3B1 hotspot mutations are associated with a poor prognosis in several tumor types and lead to global disruption of canonical splicing. Through synthetic lethal drug screens, we identify that mutant ( MUT ) cells selectively sensitive poly (ADP-ribose) polymerase inhibitors (PARPi), independent mutation site. display defective response PARPi-induced replication stress occurs via downregulation the cyclin-dependent kinase 2 interacting protein (CINP), leading increased fork origin...
Highlights•β4 integrin-expressing macrophages release TGF-β1 near breast cancer lymphovasculature•TGF-β1 drives β4 integrin clustering on macrophages, enhancing macrophage adhesion•TGF-β1 signals through RhoA to drive lymphatic endothelial cell contraction•Lymphatic remodeling signaling cascade facilitates metastasisSummaryLymphatic vasculature is crucial for metastasis in triple-negative (TNBC); however, cellular and molecular drivers controlling lymphovascular are poorly understood. We...
Triple negative breast cancers (TNBCs) lack recurrent targetable driver mutations but demonstrate frequent copy number aberrations (CNAs). Here, we describe an integrative genomic and RNAi-based approach that identifies validates gene addictions in TNBCs. CNAs expression alterations are integrated genes scored for pre-specified target features revealing 130 candidate genes. We test functional dependence on each of these using RNAi cancer non-malignant cells, validating malignant cell...
SOX11 is an embryonic mammary epithelial marker that normally silenced prior to birth. High levels in breast tumours are significantly associated with distant metastasis and poor outcome cancer patients. Here, we show confers distinct features ER-negative DCIS.com cells, leading populations enriched highly plastic hybrid epithelial/mesenchymal which display invasive alterations metastatic tropism when xenografted into mice. We found SOX11+DCIS tumour cells metastasize brain bone at greater...
There is mounting evidence linking traumatic brain injury (TBI) to neurodegeneration. Clusterin (apolipoprotein J or ApoJ) a complement inhibitor that appears have neuroprotective effect in response tissue damage and has been reported be upregulated Alzheimer's disease. Here we investigated the time course cellular expression pattern of clusterin human TBI. Tissue from 32 patients with TBI varying survival times (from under 30 min 10 months) was examined using immunohistochemistry for...
A large number of models have been derived from the two-parameter Weibull distribution including inverse (IW) model which is found suitable for modeling complex failure data set. In this paper, we present Bayesian inference mixture two IW models. For purpose, Bayes estimates parameters along with their posterior risks using informative as well non-informative prior are obtained. These attained considering cases: (a) when shape parameter known and (b) all unknown. former case, obtained under...
Summary In this study, Burr‐XII and Rayleigh distributions are combined to form a new mixture model that is considered heterogeneous data. Our objective estimate parameters of the proposed using Bayesian technique under type‐I censoring. parameter estimation for said conducted by informative priors, ie, gamma squared root inverted (SRIG) as well noninformative prior, Jeffrey's prior. Squared error loss function (SELF) quadratic (QLF) employed obtain Bayes estimators. Properties estimators...
Triple-negative breast cancers (TNBC) are resistant to standard-of-care chemotherapy and lack known targetable driver gene alterations. Identification of novel drivers could aid the discovery new treatment strategies for this hard-to-treat patient population, yet studies using high-throughput accurate models define functions genes in TNBC date have been limited. Here, we employed unbiased functional genomics screening 200 most frequently mutated cancer, spheroid cultures model
Abstract In this article, we present Bayesian estimation of a shifted exponential distribution assuming progressive type-II censoring with random removals. Bayes estimators and their respective posterior risks are derived under the squared error loss function precautionary function. Moreover, credible intervals expected experiment time along predictive for one- two-sample cases also discussed. A comparison complete is part study. Finally, real-life example provided to illustrate proposed methodology.
Background COVID-19 is currently on full flow in Pakistan. Given the health facilities country, there are serious threats upcoming months which could be very testing for all stakeholders. Therefore, a need to analyze and forecast trends of Methods We have analyzed forecasted patterns this pandemic next 30 days, using Bayesian structural time series models. The causal impacts lifting lockdown also been investigated intervention analysis under forecasting accuracy proposed models has compared...
Burning velocity of different chemicals is estimated using a model from mixed population considering inverted Kumaraswamy (IKum) distribution for component parts. Two estimation techniques maximum likelihood (MLE) and Bayesian analysis are applied purposes. BEs mixture obtained gamma, inverse beta prior, uniform prior with two loss functions. Hyperparameters determined through the empirical method. An extensive simulation study also part which used to foresee characteristics presented model....
Abstract The study provides results of regional frequency analysis (RFA) using annual maximum peak flows (AMPF) 36 sites located on various streams and rivers Khyber‐Pakhtunkhwa, Pakistan. Assumptions randomness, independent identical distribution regarding AMPF at each site have been validated different statistical tests. region is heterogeneous as confirmed by L‐moments based heterogeneity measure. Therefore, it subdivided into four homogeneous regions considering the most influential...
Cancer is among the major public health problems as well a burden for Pakistan. About 148,000 new patients are diagnosed with cancer each year, and almost 100,000 die due to this fatal disease. Lung, breast, liver, cervical, blood/bone marrow, oral cancers most common in Perhaps smoking, physical inactivity, infections, exposure toxins, unhealthy diet main factors responsible spread of cancer. We preferred novel four-component mixture model under Bayesian estimation estimate average number...
The method of paired comparisons may be regarded as a special rank order technique.It is long used in psychological experimentation and well adapted to sensory difference testing.This study deals with estimation testing the parameters Rao-Kupper (1967) model for which allows tied observations comparison experiments using informative prior.An elicitation hyper carried out.Predictive probabilities that one treatment would preferred other future single are determined.Graphs marginal posterior...
The Pareto distribution is a commonly used model for heavy tailed data. useful modeling and predicting tool in wide variety of socioeconomic contexts. In the present study, we heterogeneous population by using two component mixture parameter considered this purpose. expressions Bayes estimators their posterior risks (using squared error loss function weighted function) are derived. System non-linear equations that lead to obtain estimate MLE’s along with Fisher information matrix, also...
<title>Abstract</title> This article develops two components mixture model of weighted inverse Rayleigh distribution (WIR) and Gumbel type-II for estimation prediction flood event. The study uses data from the Federal Flood Commission Pakistan (FFC) over 29 years (1990–2018) Jhelum River using gauging stations, Mangla Rasul, catchments (upstream, downstream) each. Two distinct approaches Annual Maximum series (AMS) Peak threshold (POT) are used parameters said models in Bayesian context....
Abstract In order to identify novel tumor drivers and gene addictions in breast cancer we have recently completed an integrated silico/in vitro analysis of copy-number alterations gene-expression profiles a Triple Negative Breast Cancer-enriched cohort. An amplified overexpressed that appeared be driver required for cell proliferation is GPHR/GPR89. Several lines evidence suggested GPHR anion channel, resident the Golgi, where it controls intraluminal pH. Perturbation function leads altered...
In this article, Maximum likelihood estimation (MLE) and Bayesian for Rayleigh distribution using progressive type-II censoring in the presence of outliers is considered. Inverse Gamma prior Jeffreys are used estimation. Squared error loss function (SELF), precautionary (PLF) K-loss (KLF) obtaining expressions Bayes estimators posterior risks. Credible intervals also derived. A simulation study presented to discuss behavior estimators. Applicability undertaken highlighted three real data sets.