Transcriptome-wide in vitro effects of aspirin on patient-derived normal colon organoids: Impact of aspirin on colon epithelial transcription

Mechanisms underlying aspirin chemoprevention of colorectal cancer remain unclear. Prior studies have been limited due to the inability of preclinical models to recapitulate human normal colon epithelium or cellular heterogeneity present in mucosal biopsies. To overcome some of these obstacles we pe...

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Veröffentlicht in:Cancer prevention research (Philadelphia, Pa.) Pa.), 2021-08, Vol.14 (12), p.1089-1100
Hauptverfasser: Devall, Matthew A. M., Drew, David A., Dampier, Christopher H., Plummer, Sarah J., Eaton, Stephen, Bryant, Jennifer, Díez-Obrero, Virginia, Mo, Jiancheng, Kedrin, Dmitriy, Zerjav, Dylan C., Takacsi-Nagy, Oliver, Jennelle, Lucas T., Ali, Mourad W., Yilmaz, Ömer H., Moreno, Victor, Powell, Steven M., Chan, Andrew T., Peters, Ulrike, Casey, Graham
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container_end_page 1100
container_issue 12
container_start_page 1089
container_title Cancer prevention research (Philadelphia, Pa.)
container_volume 14
creator Devall, Matthew A. M.
Drew, David A.
Dampier, Christopher H.
Plummer, Sarah J.
Eaton, Stephen
Bryant, Jennifer
Díez-Obrero, Virginia
Mo, Jiancheng
Kedrin, Dmitriy
Zerjav, Dylan C.
Takacsi-Nagy, Oliver
Jennelle, Lucas T.
Ali, Mourad W.
Yilmaz, Ömer H.
Moreno, Victor
Powell, Steven M.
Chan, Andrew T.
Peters, Ulrike
Casey, Graham
description Mechanisms underlying aspirin chemoprevention of colorectal cancer remain unclear. Prior studies have been limited due to the inability of preclinical models to recapitulate human normal colon epithelium or cellular heterogeneity present in mucosal biopsies. To overcome some of these obstacles we performed in vitro aspirin treatment of colon organoids derived from normal mucosal biopsies to reveal transcriptional networks relevant to aspirin chemoprevention. Colon organoids derived from 38 healthy individuals undergoing endoscopy were treated with 50μM aspirin or vehicle control for 72 hours and subjected to bulk RNA-sequencing. Paired regression analysis using DESeq2 identified differentially expressed genes (DEGs) associated with aspirin treatment. Cellular composition was determined using CIBERSORTx. Aspirin treatment was associated with 1,154 significant (q
doi_str_mv 10.1158/1940-6207.CAPR-21-0041
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M. ; Drew, David A. ; Dampier, Christopher H. ; Plummer, Sarah J. ; Eaton, Stephen ; Bryant, Jennifer ; Díez-Obrero, Virginia ; Mo, Jiancheng ; Kedrin, Dmitriy ; Zerjav, Dylan C. ; Takacsi-Nagy, Oliver ; Jennelle, Lucas T. ; Ali, Mourad W. ; Yilmaz, Ömer H. ; Moreno, Victor ; Powell, Steven M. ; Chan, Andrew T. ; Peters, Ulrike ; Casey, Graham</creator><creatorcontrib>Devall, Matthew A. M. ; Drew, David A. ; Dampier, Christopher H. ; Plummer, Sarah J. ; Eaton, Stephen ; Bryant, Jennifer ; Díez-Obrero, Virginia ; Mo, Jiancheng ; Kedrin, Dmitriy ; Zerjav, Dylan C. ; Takacsi-Nagy, Oliver ; Jennelle, Lucas T. ; Ali, Mourad W. ; Yilmaz, Ömer H. ; Moreno, Victor ; Powell, Steven M. ; Chan, Andrew T. ; Peters, Ulrike ; Casey, Graham</creatorcontrib><description>Mechanisms underlying aspirin chemoprevention of colorectal cancer remain unclear. Prior studies have been limited due to the inability of preclinical models to recapitulate human normal colon epithelium or cellular heterogeneity present in mucosal biopsies. To overcome some of these obstacles we performed in vitro aspirin treatment of colon organoids derived from normal mucosal biopsies to reveal transcriptional networks relevant to aspirin chemoprevention. Colon organoids derived from 38 healthy individuals undergoing endoscopy were treated with 50μM aspirin or vehicle control for 72 hours and subjected to bulk RNA-sequencing. Paired regression analysis using DESeq2 identified differentially expressed genes (DEGs) associated with aspirin treatment. Cellular composition was determined using CIBERSORTx. Aspirin treatment was associated with 1,154 significant (q&lt;0.10) DEGs prior to deconvolution. We provide replication of these findings in an independent population-based RNA-sequencing dataset of mucosal biopsies (BarcUVa-Seq), where a significant enrichment for overlap of DEGs was observed ( P &lt;2.2E −16 ). Single-cell deconvolution revealed changes in cell composition, including a decrease in transit-amplifying cells following aspirin treatment ( P =0.01). Following deconvolution, DEGs included novel putative targets for aspirin such as TRABD2A (q=0.055), a negative regulator of Wnt signaling. Weighted gene co-expression network analysis identified 12 significant modules, including two that contained hubs for EGFR and PTGES2 , the latter being previously implicated in aspirin chemoprevention. 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We provide replication of these findings in an independent population-based RNA-sequencing dataset of mucosal biopsies (BarcUVa-Seq), where a significant enrichment for overlap of DEGs was observed ( P &lt;2.2E −16 ). Single-cell deconvolution revealed changes in cell composition, including a decrease in transit-amplifying cells following aspirin treatment ( P =0.01). Following deconvolution, DEGs included novel putative targets for aspirin such as TRABD2A (q=0.055), a negative regulator of Wnt signaling. Weighted gene co-expression network analysis identified 12 significant modules, including two that contained hubs for EGFR and PTGES2 , the latter being previously implicated in aspirin chemoprevention. 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title Transcriptome-wide in vitro effects of aspirin on patient-derived normal colon organoids: Impact of aspirin on colon epithelial transcription
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