Evidence map›Paper›PMID 36497496›Full record

ArticleCancers2022

Integrating Pharmacogenomics Data-Driven Computational Drug Prediction with Single-Cell RNAseq to Demonstrate the Efficacy of a NAMPT Inhibitor against Aggressive, Taxane-Resistant, and Stem-like Cells in Lethal Prostate Cancer.

Suman Mazumder, Taraswi Mitra Ghosh, Ujjal K Mukherjee, Sayak Chakravarti, Farshad Amiri, Razan S Waliagha, Farnaz Hemmati, Panagiotis Mistriotis, Salsabil Ahmed, Isra Elhussin and 5 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.0field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 14 citations in OpenAlex.

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  12. Targeting NADFrontiers in immunology · 2023
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 7 institutions in 1 country.

Suman MazumderDepartment of Drug Discovery and Development, Harrison College of Pharmacy, Auburn University, Auburn, AL 36849, USA.
Taraswi Mitra GhoshDepartment of Drug Discovery and Development, Harrison College of Pharmacy, Auburn University, Auburn, AL 36849, USA.
Ujjal K MukherjeeDepartment of Business Administration, University of Illinois at Urbana-Champaign, Champaign, IL 61820, USA.
Sayak ChakravartiDepartment of Drug Discovery and Development, Harrison College of Pharmacy, Auburn University, Auburn, AL 36849, USA.
Farshad AmiriDepartment of Chemical Engineering, Samuel Ginn College of Engineering, Auburn University, Auburn, AL 36849, USA.
Razan S WaliaghaDepartment of Drug Discovery and Development, Harrison College of Pharmacy, Auburn University, Auburn, AL 36849, USA.
Farnaz HemmatiDepartment of Chemical Engineering, Samuel Ginn College of Engineering, Auburn University, Auburn, AL 36849, USA.
Panagiotis MistriotisDepartment of Chemical Engineering, Samuel Ginn College of Engineering, Auburn University, Auburn, AL 36849, USA.ORCID 0000-0002-8069-3278
Salsabil AhmedDepartment of Drug Discovery and Development, Harrison College of Pharmacy, Auburn University, Auburn, AL 36849, USA.
Isra ElhussinDepartment of Biology and Canter for Cancer Research, Tuskegee University, Tuskegee, AL 36088, USA.
Ahmad-Bin SalamDepartment of Biology and Canter for Cancer Research, Tuskegee University, Tuskegee, AL 36088, USA.
Windy Dean-ColombDepartment of Biology and Canter for Cancer Research, Tuskegee University, Tuskegee, AL 36088, USA.
Clayton YatesDepartment of Biology and Canter for Cancer Research, Tuskegee University, Tuskegee, AL 36088, USA.ORCID 0000-0001-5420-9852
Robert D ArnoldDepartment of Drug Discovery and Development, Harrison College of Pharmacy, Auburn University, Auburn, AL 36849, USA.ORCID 0000-0001-6143-3991
Amit K MitraDepartment of Drug Discovery and Development, Harrison College of Pharmacy, Auburn University, Auburn, AL 36849, USA.ORCID 0000-0003-4046-7070
Auburn University · USTuskegee University · USUniversity of Alabama at Birmingham · USBrigham and Women's Hospital · USJohns Hopkins University · USPiedmont Atlanta Hospital · USUniversity of Illinois Urbana-Champaign · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metastatic prostate cancer/PCa is the second leading cause of cancer deaths in US men. Most early-stage PCa are dependent on overexpression of the androgen receptor (AR) and, therefore, androgen deprivation therapies/ADT-sensitive. However, eventual resistance to standard medical castration (AR-inhibitors) and secondary chemotherapies (taxanes) is nearly universal. Further, the presence of cancer stem-like cells (EMT/epithelial-to-mesenchymal transdifferentiation) and neuroendocrine PCa (NEPC) subtypes significantly contribute to aggressive/lethal/advanced variants of PCa (AVPC). In this study, we introduced a pharmacogenomics data-driven optimization-regularization-based computational prediction algorithm ("secDrugs") to predict novel drugs against lethal PCa. Integrating secDrug with single-cell RNA-sequencing/scRNAseq as a 'Double-Hit' drug screening tool, we demonstrated that single-cells representing drug-resistant and stem-cell-like cells showed high expression of the NAMPT pathway genes, indicating potential efficacy of the secDrug FK866 which targets NAMPT. Next, using several cell-based assays, we showed substantial impact of FK866 on clinically advanced PCa as a single agent and in combination with taxanes or AR-inhibitors. Bulk-RNAseq and scRNAseq revealed that, in addition to NAMPT inhibition, FK866 regulates tumor metastasis, cell migration, invasion, DNA repair machinery, redox homeostasis, autophagy, as well as cancer stemness-related genes, HES1 and CD44. Further, we combined a microfluidic chip-based cell migration assay with a traditional cell migration/'scratch' assay and demonstrated that FK866 reduces cancer cell invasion and motility, indicating abrogation of metastasis. Finally, using PCa patient datasets, we showed that FK866 is potentially capable of reversing the expression of several genes associated with biochemical recurrence, including IFITM3 and LTB4R. Thus, using FK866 as a proof-of-concept candidate for drug repurposing, we introduced a novel, universally applicable preclinical drug development pipeline to circumvent subclonal aggressiveness, drug resistance, and stemness in lethal PCa.

Indexed as

DEGsFK866IPAprostate cancerRNAseqscRNAseqsecDrugsynergismtaxane

Identifiers

PMID36497496
PMCPMC9738762
OpenAlexW4311284844

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.