Colorectal cancer tissue-originated spheroids reveal tumor intrinsic signaling pathways and mimic patient clinical chemotherapeutic response as a rapid and valid model

Locally advanced colorectal cancer requires preoperative chemotherapy to reduce local recurrence and metastasis rates, but it remains difficult to predict the tumor will be sensitive to which treatments. The patient-derived organoids (PDOs) are considered an effective platform for predicting tumor d...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Biomedicine & pharmacotherapy 2023-11, Vol.167, p.115585-115585, Article 115585
Hauptverfasser: Zhang, Yuchen, Huo, Jianting, Yu, Suyue, Feng, Wenqing, Tuersun, Abudumaimaitijiang, Chen, Fangqian, Lv, Zeping, Liu, Wangyi, Zhao, Jingkun, Xu, Zhuoqing, Lu, Aiguo, Zong, Yaping
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 115585
container_issue
container_start_page 115585
container_title Biomedicine & pharmacotherapy
container_volume 167
creator Zhang, Yuchen
Huo, Jianting
Yu, Suyue
Feng, Wenqing
Tuersun, Abudumaimaitijiang
Chen, Fangqian
Lv, Zeping
Liu, Wangyi
Zhao, Jingkun
Xu, Zhuoqing
Lu, Aiguo
Zong, Yaping
description Locally advanced colorectal cancer requires preoperative chemotherapy to reduce local recurrence and metastasis rates, but it remains difficult to predict the tumor will be sensitive to which treatments. The patient-derived organoids (PDOs) are considered an effective platform for predicting tumor drug responses in precision oncology. However, it has the limitation of being time-consuming in practical applications, especially in neoadjuvant treatment. Here we used cancer tissue-originated spheroids (CTOS) method to establish organoids from a heterogeneous population of colorectal cancer specimens, and evaluated the capacity of CTOS to predict clinical drug responses. By analyzing the relationship of the activities of drug-treated CTOS, drug targets and target-related pathways, tumor intrinsic effective-target-related pathways can be identified. These pathways were highly matched to the abnormal pathways indicated by whole-exome sequencing. Based on this, we used half effective concentration gradients to classify CTOS as sensitive or resistant to chemotherapy regimens within a week, for predicting neoadjuvant treatment outcomes for colorectal cancer patients. The drug sensitivity test results are highly matched to the clinical responses to treatment in individual patients. Thus, our data suggested that CTOS models can be effectively screened ex vivo to identify pathways sensitive to chemotherapies. These data also supported organoid research for personalized clinical medication guidance immediately after diagnosis in patients with advanced colorectal cancer. [Display omitted] •Drug sensitivity in CTOS-based tests reflects tumor specific molecular signatures.•CTOS models identify intrinsic signaling pathways sensitive to chemotherapies.•CTOS-based screening can predict neoadjuvant therapy outcomes within a week.•Pre- and post-operation drug results reveal intratumor drug reaction heterogeneity.
doi_str_mv 10.1016/j.biopha.2023.115585
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2870992079</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0753332223013835</els_id><sourcerecordid>2870992079</sourcerecordid><originalsourceid>FETCH-LOGICAL-c385t-ab979dd9ff05e8c6a605ced65e5a9d5e72323d3ffea7117ef060a69b289623d3</originalsourceid><addsrcrecordid>eNp9kbtu3DAQRQkjAbyx8wcpWKbRmo9QEpsAwSIvwIAb9wSXHO3OQiIVktrAX5TfDBW5TjXAzL13hjyEfOBszxlvHy77I8b5bPeCCbnnXKle3ZAd14o1LWPdG7JjnZKNlELcknc5XxhjqpX9jvw5xDEmcMWO1NngINGCOS_QxIQnDLaAp3k-Q4roM01whaosyxQTxVAShoyOZjwFO2I40dmW82_7kqkNnk441WFtIYRCXRWgW_ecYYqlRtoZllIVCfIcQwZqq4_WNvp__mvNrCnRw3hP3g52zPD-td6R529fnw8_msen7z8PXx4bJ3tVGnvUnfZeDwNT0LvWtkw58K0CZbVX0AkppJfDALbjvIOBtcy2-ih63a6DO_Jxi51T_LVALmbC7GAcbYC4ZCP6jmktWKer9NMmdSnmnGAwc8LJphfDmVmxmIvZsJgVi9mwVNvnzQb1FVeEZLKr31OPxBWD8RH_H_AXPzKdjQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2870992079</pqid></control><display><type>article</type><title>Colorectal cancer tissue-originated spheroids reveal tumor intrinsic signaling pathways and mimic patient clinical chemotherapeutic response as a rapid and valid model</title><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>ScienceDirect Journals (5 years ago - present)</source><creator>Zhang, Yuchen ; Huo, Jianting ; Yu, Suyue ; Feng, Wenqing ; Tuersun, Abudumaimaitijiang ; Chen, Fangqian ; Lv, Zeping ; Liu, Wangyi ; Zhao, Jingkun ; Xu, Zhuoqing ; Lu, Aiguo ; Zong, Yaping</creator><creatorcontrib>Zhang, Yuchen ; Huo, Jianting ; Yu, Suyue ; Feng, Wenqing ; Tuersun, Abudumaimaitijiang ; Chen, Fangqian ; Lv, Zeping ; Liu, Wangyi ; Zhao, Jingkun ; Xu, Zhuoqing ; Lu, Aiguo ; Zong, Yaping</creatorcontrib><description>Locally advanced colorectal cancer requires preoperative chemotherapy to reduce local recurrence and metastasis rates, but it remains difficult to predict the tumor will be sensitive to which treatments. The patient-derived organoids (PDOs) are considered an effective platform for predicting tumor drug responses in precision oncology. However, it has the limitation of being time-consuming in practical applications, especially in neoadjuvant treatment. Here we used cancer tissue-originated spheroids (CTOS) method to establish organoids from a heterogeneous population of colorectal cancer specimens, and evaluated the capacity of CTOS to predict clinical drug responses. By analyzing the relationship of the activities of drug-treated CTOS, drug targets and target-related pathways, tumor intrinsic effective-target-related pathways can be identified. These pathways were highly matched to the abnormal pathways indicated by whole-exome sequencing. Based on this, we used half effective concentration gradients to classify CTOS as sensitive or resistant to chemotherapy regimens within a week, for predicting neoadjuvant treatment outcomes for colorectal cancer patients. The drug sensitivity test results are highly matched to the clinical responses to treatment in individual patients. Thus, our data suggested that CTOS models can be effectively screened ex vivo to identify pathways sensitive to chemotherapies. These data also supported organoid research for personalized clinical medication guidance immediately after diagnosis in patients with advanced colorectal cancer. [Display omitted] •Drug sensitivity in CTOS-based tests reflects tumor specific molecular signatures.•CTOS models identify intrinsic signaling pathways sensitive to chemotherapies.•CTOS-based screening can predict neoadjuvant therapy outcomes within a week.•Pre- and post-operation drug results reveal intratumor drug reaction heterogeneity.</description><identifier>ISSN: 0753-3322</identifier><identifier>EISSN: 1950-6007</identifier><identifier>DOI: 10.1016/j.biopha.2023.115585</identifier><language>eng</language><publisher>Elsevier Masson SAS</publisher><subject>Cancer tissue-originated spheroids ; Chemotherapy ; Clinical response ; Colorectal cancer ; Drug screening ; Personalized therapy</subject><ispartof>Biomedicine &amp; pharmacotherapy, 2023-11, Vol.167, p.115585-115585, Article 115585</ispartof><rights>2023 The Authors</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c385t-ab979dd9ff05e8c6a605ced65e5a9d5e72323d3ffea7117ef060a69b289623d3</citedby><cites>FETCH-LOGICAL-c385t-ab979dd9ff05e8c6a605ced65e5a9d5e72323d3ffea7117ef060a69b289623d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.biopha.2023.115585$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids></links><search><creatorcontrib>Zhang, Yuchen</creatorcontrib><creatorcontrib>Huo, Jianting</creatorcontrib><creatorcontrib>Yu, Suyue</creatorcontrib><creatorcontrib>Feng, Wenqing</creatorcontrib><creatorcontrib>Tuersun, Abudumaimaitijiang</creatorcontrib><creatorcontrib>Chen, Fangqian</creatorcontrib><creatorcontrib>Lv, Zeping</creatorcontrib><creatorcontrib>Liu, Wangyi</creatorcontrib><creatorcontrib>Zhao, Jingkun</creatorcontrib><creatorcontrib>Xu, Zhuoqing</creatorcontrib><creatorcontrib>Lu, Aiguo</creatorcontrib><creatorcontrib>Zong, Yaping</creatorcontrib><title>Colorectal cancer tissue-originated spheroids reveal tumor intrinsic signaling pathways and mimic patient clinical chemotherapeutic response as a rapid and valid model</title><title>Biomedicine &amp; pharmacotherapy</title><description>Locally advanced colorectal cancer requires preoperative chemotherapy to reduce local recurrence and metastasis rates, but it remains difficult to predict the tumor will be sensitive to which treatments. The patient-derived organoids (PDOs) are considered an effective platform for predicting tumor drug responses in precision oncology. However, it has the limitation of being time-consuming in practical applications, especially in neoadjuvant treatment. Here we used cancer tissue-originated spheroids (CTOS) method to establish organoids from a heterogeneous population of colorectal cancer specimens, and evaluated the capacity of CTOS to predict clinical drug responses. By analyzing the relationship of the activities of drug-treated CTOS, drug targets and target-related pathways, tumor intrinsic effective-target-related pathways can be identified. These pathways were highly matched to the abnormal pathways indicated by whole-exome sequencing. Based on this, we used half effective concentration gradients to classify CTOS as sensitive or resistant to chemotherapy regimens within a week, for predicting neoadjuvant treatment outcomes for colorectal cancer patients. The drug sensitivity test results are highly matched to the clinical responses to treatment in individual patients. Thus, our data suggested that CTOS models can be effectively screened ex vivo to identify pathways sensitive to chemotherapies. These data also supported organoid research for personalized clinical medication guidance immediately after diagnosis in patients with advanced colorectal cancer. [Display omitted] •Drug sensitivity in CTOS-based tests reflects tumor specific molecular signatures.•CTOS models identify intrinsic signaling pathways sensitive to chemotherapies.•CTOS-based screening can predict neoadjuvant therapy outcomes within a week.•Pre- and post-operation drug results reveal intratumor drug reaction heterogeneity.</description><subject>Cancer tissue-originated spheroids</subject><subject>Chemotherapy</subject><subject>Clinical response</subject><subject>Colorectal cancer</subject><subject>Drug screening</subject><subject>Personalized therapy</subject><issn>0753-3322</issn><issn>1950-6007</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNp9kbtu3DAQRQkjAbyx8wcpWKbRmo9QEpsAwSIvwIAb9wSXHO3OQiIVktrAX5TfDBW5TjXAzL13hjyEfOBszxlvHy77I8b5bPeCCbnnXKle3ZAd14o1LWPdG7JjnZKNlELcknc5XxhjqpX9jvw5xDEmcMWO1NngINGCOS_QxIQnDLaAp3k-Q4roM01whaosyxQTxVAShoyOZjwFO2I40dmW82_7kqkNnk441WFtIYRCXRWgW_ecYYqlRtoZllIVCfIcQwZqq4_WNvp__mvNrCnRw3hP3g52zPD-td6R529fnw8_msen7z8PXx4bJ3tVGnvUnfZeDwNT0LvWtkw58K0CZbVX0AkppJfDALbjvIOBtcy2-ih63a6DO_Jxi51T_LVALmbC7GAcbYC4ZCP6jmktWKer9NMmdSnmnGAwc8LJphfDmVmxmIvZsJgVi9mwVNvnzQb1FVeEZLKr31OPxBWD8RH_H_AXPzKdjQ</recordid><startdate>202311</startdate><enddate>202311</enddate><creator>Zhang, Yuchen</creator><creator>Huo, Jianting</creator><creator>Yu, Suyue</creator><creator>Feng, Wenqing</creator><creator>Tuersun, Abudumaimaitijiang</creator><creator>Chen, Fangqian</creator><creator>Lv, Zeping</creator><creator>Liu, Wangyi</creator><creator>Zhao, Jingkun</creator><creator>Xu, Zhuoqing</creator><creator>Lu, Aiguo</creator><creator>Zong, Yaping</creator><general>Elsevier Masson SAS</general><scope>6I.</scope><scope>AAFTH</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>202311</creationdate><title>Colorectal cancer tissue-originated spheroids reveal tumor intrinsic signaling pathways and mimic patient clinical chemotherapeutic response as a rapid and valid model</title><author>Zhang, Yuchen ; Huo, Jianting ; Yu, Suyue ; Feng, Wenqing ; Tuersun, Abudumaimaitijiang ; Chen, Fangqian ; Lv, Zeping ; Liu, Wangyi ; Zhao, Jingkun ; Xu, Zhuoqing ; Lu, Aiguo ; Zong, Yaping</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c385t-ab979dd9ff05e8c6a605ced65e5a9d5e72323d3ffea7117ef060a69b289623d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Cancer tissue-originated spheroids</topic><topic>Chemotherapy</topic><topic>Clinical response</topic><topic>Colorectal cancer</topic><topic>Drug screening</topic><topic>Personalized therapy</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Yuchen</creatorcontrib><creatorcontrib>Huo, Jianting</creatorcontrib><creatorcontrib>Yu, Suyue</creatorcontrib><creatorcontrib>Feng, Wenqing</creatorcontrib><creatorcontrib>Tuersun, Abudumaimaitijiang</creatorcontrib><creatorcontrib>Chen, Fangqian</creatorcontrib><creatorcontrib>Lv, Zeping</creatorcontrib><creatorcontrib>Liu, Wangyi</creatorcontrib><creatorcontrib>Zhao, Jingkun</creatorcontrib><creatorcontrib>Xu, Zhuoqing</creatorcontrib><creatorcontrib>Lu, Aiguo</creatorcontrib><creatorcontrib>Zong, Yaping</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Biomedicine &amp; pharmacotherapy</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Yuchen</au><au>Huo, Jianting</au><au>Yu, Suyue</au><au>Feng, Wenqing</au><au>Tuersun, Abudumaimaitijiang</au><au>Chen, Fangqian</au><au>Lv, Zeping</au><au>Liu, Wangyi</au><au>Zhao, Jingkun</au><au>Xu, Zhuoqing</au><au>Lu, Aiguo</au><au>Zong, Yaping</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Colorectal cancer tissue-originated spheroids reveal tumor intrinsic signaling pathways and mimic patient clinical chemotherapeutic response as a rapid and valid model</atitle><jtitle>Biomedicine &amp; pharmacotherapy</jtitle><date>2023-11</date><risdate>2023</risdate><volume>167</volume><spage>115585</spage><epage>115585</epage><pages>115585-115585</pages><artnum>115585</artnum><issn>0753-3322</issn><eissn>1950-6007</eissn><abstract>Locally advanced colorectal cancer requires preoperative chemotherapy to reduce local recurrence and metastasis rates, but it remains difficult to predict the tumor will be sensitive to which treatments. The patient-derived organoids (PDOs) are considered an effective platform for predicting tumor drug responses in precision oncology. However, it has the limitation of being time-consuming in practical applications, especially in neoadjuvant treatment. Here we used cancer tissue-originated spheroids (CTOS) method to establish organoids from a heterogeneous population of colorectal cancer specimens, and evaluated the capacity of CTOS to predict clinical drug responses. By analyzing the relationship of the activities of drug-treated CTOS, drug targets and target-related pathways, tumor intrinsic effective-target-related pathways can be identified. These pathways were highly matched to the abnormal pathways indicated by whole-exome sequencing. Based on this, we used half effective concentration gradients to classify CTOS as sensitive or resistant to chemotherapy regimens within a week, for predicting neoadjuvant treatment outcomes for colorectal cancer patients. The drug sensitivity test results are highly matched to the clinical responses to treatment in individual patients. Thus, our data suggested that CTOS models can be effectively screened ex vivo to identify pathways sensitive to chemotherapies. These data also supported organoid research for personalized clinical medication guidance immediately after diagnosis in patients with advanced colorectal cancer. [Display omitted] •Drug sensitivity in CTOS-based tests reflects tumor specific molecular signatures.•CTOS models identify intrinsic signaling pathways sensitive to chemotherapies.•CTOS-based screening can predict neoadjuvant therapy outcomes within a week.•Pre- and post-operation drug results reveal intratumor drug reaction heterogeneity.</abstract><pub>Elsevier Masson SAS</pub><doi>10.1016/j.biopha.2023.115585</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0753-3322
ispartof Biomedicine & pharmacotherapy, 2023-11, Vol.167, p.115585-115585, Article 115585
issn 0753-3322
1950-6007
language eng
recordid cdi_proquest_miscellaneous_2870992079
source Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; ScienceDirect Journals (5 years ago - present)
subjects Cancer tissue-originated spheroids
Chemotherapy
Clinical response
Colorectal cancer
Drug screening
Personalized therapy
title Colorectal cancer tissue-originated spheroids reveal tumor intrinsic signaling pathways and mimic patient clinical chemotherapeutic response as a rapid and valid model
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-06T23%3A54%3A05IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Colorectal%20cancer%20tissue-originated%20spheroids%20reveal%20tumor%20intrinsic%20signaling%20pathways%20and%20mimic%20patient%20clinical%20chemotherapeutic%20response%20as%20a%20rapid%20and%20valid%20model&rft.jtitle=Biomedicine%20&%20pharmacotherapy&rft.au=Zhang,%20Yuchen&rft.date=2023-11&rft.volume=167&rft.spage=115585&rft.epage=115585&rft.pages=115585-115585&rft.artnum=115585&rft.issn=0753-3322&rft.eissn=1950-6007&rft_id=info:doi/10.1016/j.biopha.2023.115585&rft_dat=%3Cproquest_cross%3E2870992079%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2870992079&rft_id=info:pmid/&rft_els_id=S0753332223013835&rfr_iscdi=true