Fathi Elloumi

ORCID: 0009-0007-7116-508X
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About
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Research Areas
  • Cancer, Hypoxia, and Metabolism
  • Computational Drug Discovery Methods
  • Bioinformatics and Genomic Networks
  • Ubiquitin and proteasome pathways
  • Genetics, Bioinformatics, and Biomedical Research
  • Adrenal and Paraganglionic Tumors
  • Estrogen and related hormone effects
  • Cancer Genomics and Diagnostics
  • Biomedical Text Mining and Ontologies
  • Inflammatory mediators and NSAID effects
  • Breast Cancer Treatment Studies
  • Glioma Diagnosis and Treatment
  • Hormonal Regulation and Hypertension
  • Cancer Cells and Metastasis
  • Click Chemistry and Applications
  • Gene expression and cancer classification
  • Cancer Research and Treatments
  • Mitochondrial Function and Pathology
  • Cancer therapeutics and mechanisms
  • Molecular Biology Techniques and Applications
  • Lung Cancer Research Studies
  • Lung Cancer Treatments and Mutations
  • Cell Image Analysis Techniques
  • Advanced Breast Cancer Therapies
  • Cancer, Stress, Anesthesia, and Immune Response

National Institutes of Health
2007-2025

National Cancer Institute
2016-2024

Center for Cancer Research
2018-2024

Frederick National Laboratory for Cancer Research
2022-2023

General Dynamics (United States)
2018-2021

Leidos (United States)
2016-2020

Leidos Biomedical Research Inc. (United States)
2020

ORCID
2018-2019

Government of the United States of America
2018

Office of Science
2017

10.1038/nbt.1665 article EN Nature Biotechnology 2010-07-30

Batch effects are the systematic non-biological differences between batches (groups) of samples in microarray experiments due to various causes such as sample preparation and hybridization protocols. Previous work focused mainly on development methods for effective batch removal. However, their impact cross-batch prediction performance, which is one most important goals microarray-based applications, has not been addressed. This paper uses a broad selection data sets from Microarray Quality...

10.1038/tpj.2010.57 article EN cc-by-nc-nd The Pharmacogenomics Journal 2010-07-30

Abstract CellMiner Cross-Database (CellMinerCDB, discover.nci.nih.gov/cellminercdb) allows integration and analysis of molecular pharmacological data within across cancer cell line datasets from the National Cancer Institute (NCI), Broad Institute, Sanger/MGH MD Anderson Center (MDACC). We present CellMinerCDB 1.2 with updates to NCI-60, Cell Line Encyclopedia Sanger/MGH, addition new datasets, including NCI-ALMANAC drug combination, MDACC Project proteomic, NCI-SCLC DNA copy number...

10.1093/nar/gkaa968 article EN cc-by-nc Nucleic Acids Research 2020-10-19

CellMinerCDB provides a web-based resource (https://discover.nci.nih.gov/cellminercdb/) for integrating multiple forms of pharmacological and genomic analyses, unifying the richest cancer cell line datasets (the NCI-60, NCI-SCLC, Sanger/MGH GDSC, Broad CCLE/CTRP). enables data queries genomics gene regulatory network exploration pharmacogenomic determinants drug signatures. It leverages overlaps lines drugs across databases to examine reproducibility expand pathway analyses. We illustrate...

10.1016/j.isci.2018.11.029 article EN cc-by-nc-nd iScience 2018-12-01

Basal p53 levels are tightly suppressed under normal conditions. Disrupting this regulation results in elevated to induce cell cycle arrest, apoptosis, and tumor suppression. Here, we report the suppression of basal by a nuclear, p53-regulated long noncoding RNA that termed PURPL (p53 upregulated regulator levels). Targeted depletion colorectal cancer cells induces growth defects culture mouse xenografts. associates with MYBBP1A, protein binds stabilizes p53, inhibits formation p53-MYBBP1A...

10.1016/j.celrep.2017.08.041 article EN cc-by-nc-nd Cell Reports 2017-09-01

CellMiner-SCLC (https://discover.nci.nih.gov/SclcCellMinerCDB/) integrates drug sensitivity and genomic data, including high-resolution methylome transcriptome from 118 patient-derived small cell lung cancer (SCLC) lines, providing a resource for research into this "recalcitrant cancer." We demonstrate the reproducibility stability of data multiple sources validate SCLC consensus nomenclature on basis expression master transcription factors NEUROD1, ASCL1, POU2F3, YAP1. Our analyses reveal...

10.1016/j.celrep.2020.108296 article EN cc-by-nc-nd Cell Reports 2020-10-01

Abstract Although several ATR inhibitors are in development, there unresolved questions regarding their differential potency, molecular signatures of patients with cancer for predicting activity, and most effective therapeutic combinations. Here, we elucidate how to improve ATR-based chemotherapy the newly developed inhibitor, M4344 using vitro vivo models. The potency was compared clinically BAY1895344, berzosertib, ceralasertib. anticancer activity investigated as monotherapy combination...

10.1158/1535-7163.mct-20-1026 article EN cc-by-nc-nd Molecular Cancer Therapeutics 2021-05-27

CellMiner (http://discover.nci.nih.gov/cellminer) and CellMinerCDB (https://discover.nci.nih.gov/cellminercdb/) are web-based applications for mining publicly available genomic, molecular, pharmacologic datasets of human cancer cell lines including the NCI-60, Cancer Cell Line Encyclopedia, Genomics Drug Sensitivity in Cancer, Therapeutics Response Portal, NCI/DTP small lung cancer, NCI Almanac line sets. Here, we introduce our RNA sequencing (RNA-seq) data NCI-60 their access integration...

10.1158/0008-5472.can-18-2047 article EN Cancer Research 2019-05-21

Basal-like breast cancers have several well-characterized distinguishing molecular features, but most of these are features the cancer cells themselves. The unique stromal-epithelial interactions, and more generally, microenvironmental basal-like not been well characterized. To identify characteristic microenvironment cancer, we performed cocultures cell lines with fibroblasts compared luminal fibroblasts. Interactions between induced expression numerous interleukins chemokines, including...

10.1158/1541-7786.mcr-10-0372 article EN Molecular Cancer Research 2010-12-04

Abstract Background Genomic tests are available to predict breast cancer recurrence and guide clinical decision making. These predictors provide risk scores along with a measure of uncertainty, usually confidence interval. The interval conveys random error not systematic bias. Standard tumor sampling methods make this problematic, as it is common have substantial proportion (typically 30-50%) sample comprised histologically benign tissue. This "normal" tissue could represent source...

10.1186/1755-8794-4-54 article EN cc-by BMC Medical Genomics 2011-06-30

Abstract Understanding the mechanisms supporting tumor-initiating cells (TIC) is vital to combat advanced-stage recurrent cancers. Here, we show that in advanced ovarian cancers NFκB signaling via RelB transcription factor supports TIC populations by directly regulating cancer stem-like associated enzyme aldehyde dehydrogenase (ALDH). Loss of significantly inhibited spheroid formation, ALDH expression and activity, chemoresistance, tumorigenesis subcutaneous intrabursal mouse xenograft...

10.1158/0008-5472.can-17-0366 article EN Cancer Research 2017-10-26

Here we describe a proteomic data resource for the NCI-60 cell lines generated by pressure cycling technology and SWATH mass spectrometry. We developed DIA-expert software to curate visualize data, leading reproducible detection of over 3,100 SwissProt proteotypic proteins systematic quantification pathway activities. Stoichiometric relationships interacting DNA replication, repair, chromatin remodeling NuRD complex, β-catenin, RNA metabolism, prefoldins are more evident than that at mRNA...

10.1016/j.isci.2019.10.059 article EN cc-by-nc-nd iScience 2019-11-01

The majority of hepatocellular carcinoma develops in the background chronic liver inflammation caused by viral hepatitis and alcoholic or nonalcoholic steatohepatitis. However, impact different types inflammatory microenvironments on phenotypes tumors generated distinct oncogenes is largely unresolved. To address this issue, we murine constitutively active AKT‐1 (AKT) β‐catenin (CAT), followed induction 3,5‐diethoxycarbonyl‐1,4‐dihydrocollidine (DDC) carbon tetrachloride. Also, DDC‐induced...

10.1002/hep.28487 article EN Hepatology 2016-02-04

Major advances have been made in the field of precision medicine for treating cancer. However, many open questions remain that need to be answered realize goal matching every patient with cancer most efficacious therapy. To facilitate these efforts, we developed CellMinerCDB: National Center Advancing Translational Sciences (NCATS; https://discover.nci.nih.gov/rsconnect/cellminercdb_ncats/), which makes available activity information 2,675 drugs and compounds, including multiple nononcology...

10.1158/0008-5472.can-22-2996 article EN Cancer Research 2023-05-04

Abstract Current treatment options for metastatic adrenocortical carcinoma (ACC) have limited efficacy, despite the common use of mitotane and cytotoxic agents. This study aimed to identify novel therapeutic ACC. An extensive drug screen was conducted compounds with potential activity against ACC cell lines. We further investigated mechanism action identified compound, TAK-243, its synergistic effects current therapeutics, efficacy in models including patient-derived organoids mouse...

10.1158/2767-9764.crc-24-0085 article EN cc-by Cancer Research Communications 2024-03-07

Abstract The recalcitrant nature of triple-negative breast cancer (TNBC) calls for novel treatments. Acetalax (oxyphenisatin acetate) and bisacodyl, which have been are extensively used orally as laxatives, recently reported to exhibit selective antiproliferative activity when incubated with cells xenograft models. Here we show that they both preferentially active in TNBC cell lines, their patterns overlap across the 1000 lines Sanger database but unique distinct from standard...

10.1158/2767-9764.crc-24-0435 article EN cc-by Cancer Research Communications 2025-02-11

<p>Implication of the mitochondrial pathways in cellular responses to Acetalax assessed by CRISPR (Achilles project, DepMap MIT) survival comparisons with activity [GDSC_MGH-Sanger, −log<sub>10</sub>(IC<sub>50</sub>M)]. <b>A,</b> Schematic GSEA analysis workflow used generate <b>B</b>. <b>B,</b> determine enriched categories 18,121 genes from comparison [−log<sub>10</sub>(IC<sub>50</sub>M)] for TNBC...

10.1158/2767-9764.28512671 preprint EN cc-by 2025-02-28

<p>GSEA of RNA-seq for PDX HBCx-185 treated with Acetalax or bisacodyl. <b>A,</b> treatment at 4 hours (left plot) and 24 (right as compared no drug controls. <b>B,</b> Bisacodyl For all experiments, four to five mice were used biological replicates both the All categories shown have significant enrichment (<i>P</i> < 0.0008).</p>

10.1158/2767-9764.28512665 preprint EN cc-by 2025-02-28

<p><i>In vivo</i> response to Acetalax and bisacodyl in PDX models of TNBC. <b>A, </b><i>In antitumor effect administered at 100, 200, 300 mg/kg the HBCx-158 model. Mean ± standard deviation (<i>n</i> = 4–6 mice/group). ****, <i>P</i> < 0.0001 (Kruskal–Wallis test). <b>B,</b> Waterfall plot showing percentage tumor volume changes xenografts treated with (200 mg/kg) 18 different models. Each bar represents a single...

10.1158/2767-9764.28512668 preprint EN cc-by 2025-02-28
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