Paracrine Pathways in Uterine Leiomyoma Stem Cells Involve Insulinlike Growth Factor 2 and Insulin Receptor A

Abstract Context: Uterine leiomyomas (fibroids) are the most common benign tumors in women. Recently, three populations of leiomyoma cells were discovered on the basis of CD34 and CD49b expression, but molecular differences between these populations remain unknown. Objective: To define differential...

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Veröffentlicht in:The journal of clinical endocrinology and metabolism 2017-05, Vol.102 (5), p.1588-1595
Hauptverfasser: Moravek, Molly B., Yin, Ping, Coon, John S., Ono, Masanori, Druschitz, Stacy A., Malpani, Saurabh S., Dyson, Matthew T., Rademaker, Alfred W., Robins, Jared C., Wei, Jian-Jun, Kim, J. Julie, Bulun, Serdar E.
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container_end_page 1595
container_issue 5
container_start_page 1588
container_title The journal of clinical endocrinology and metabolism
container_volume 102
creator Moravek, Molly B.
Yin, Ping
Coon, John S.
Ono, Masanori
Druschitz, Stacy A.
Malpani, Saurabh S.
Dyson, Matthew T.
Rademaker, Alfred W.
Robins, Jared C.
Wei, Jian-Jun
Kim, J. Julie
Bulun, Serdar E.
description Abstract Context: Uterine leiomyomas (fibroids) are the most common benign tumors in women. Recently, three populations of leiomyoma cells were discovered on the basis of CD34 and CD49b expression, but molecular differences between these populations remain unknown. Objective: To define differential gene expression and signaling pathways in leiomyoma cell populations. Design: Cells from human leiomyoma tissue were sorted by flow cytometry into three populations: CD34+/CD49b+, CD34+/CD49b−, and CD34−/CD49b−. Microarray gene expression profiling and pathway analysis were performed. To investigate the insulinlike growth factor (IGF) pathway, real-time quantitative polymerase chain reaction, immunoblotting, and 5-ethynyl-2′-deoxyuridine incorporation studies were performed in cells isolated from fresh leiomyoma. Setting: Research laboratory. Patients: Eight African American women. Interventions: None Main Outcomes Measures: Gene expression patterns, cell proliferation, and differentiation. Results: A total of 1164 genes were differentially expressed in the three leiomyoma cell populations, suggesting a hierarchical differentiation order whereby CD34+/CD49b+ stem cells differentiate to CD34+/CD49b− intermediary cells, which then terminally differentiate to CD34−/CD49b− cells. Pathway analysis revealed differential expression of several IGF signaling pathway genes. IGF2 was overexpressed in CD34+/CD49b− vs CD34−/CD49b− cells (83-fold; P < 0.05). Insulin receptor A (IR-A) expression was higher and IGF1 receptor lower in CD34+/CD49b+ vs CD34−/CD49b− cells (15-fold and 0.35-fold, respectively; P < 0.05). IGF2 significantly increased cell number (1.4-fold; P < 0.001), proliferation indices, and extracellular signal-regulated kinase (ERK) phosphorylation. ERK inhibition decreased IGF2-stimulated cell proliferation. Conclusions: IGF2 and IR-A are important for leiomyoma stem cell proliferation and may represent paracrine signaling between leiomyoma cell types. Therapies targeting the IGF pathway should be investigated for both treatment and prevention of leiomyomas. Microarray and functional studies of three leiomyoma cell populations, including stem cells, implicated the IGF2 pathway in paracrine signaling and as important for cell proliferation.
doi_str_mv 10.1210/jc.2016-3497
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Julie ; Bulun, Serdar E.</creator><creatorcontrib>Moravek, Molly B. ; Yin, Ping ; Coon, John S. ; Ono, Masanori ; Druschitz, Stacy A. ; Malpani, Saurabh S. ; Dyson, Matthew T. ; Rademaker, Alfred W. ; Robins, Jared C. ; Wei, Jian-Jun ; Kim, J. Julie ; Bulun, Serdar E.</creatorcontrib><description>Abstract Context: Uterine leiomyomas (fibroids) are the most common benign tumors in women. Recently, three populations of leiomyoma cells were discovered on the basis of CD34 and CD49b expression, but molecular differences between these populations remain unknown. Objective: To define differential gene expression and signaling pathways in leiomyoma cell populations. Design: Cells from human leiomyoma tissue were sorted by flow cytometry into three populations: CD34+/CD49b+, CD34+/CD49b−, and CD34−/CD49b−. Microarray gene expression profiling and pathway analysis were performed. To investigate the insulinlike growth factor (IGF) pathway, real-time quantitative polymerase chain reaction, immunoblotting, and 5-ethynyl-2′-deoxyuridine incorporation studies were performed in cells isolated from fresh leiomyoma. Setting: Research laboratory. Patients: Eight African American women. Interventions: None Main Outcomes Measures: Gene expression patterns, cell proliferation, and differentiation. Results: A total of 1164 genes were differentially expressed in the three leiomyoma cell populations, suggesting a hierarchical differentiation order whereby CD34+/CD49b+ stem cells differentiate to CD34+/CD49b− intermediary cells, which then terminally differentiate to CD34−/CD49b− cells. Pathway analysis revealed differential expression of several IGF signaling pathway genes. IGF2 was overexpressed in CD34+/CD49b− vs CD34−/CD49b− cells (83-fold; P &lt; 0.05). Insulin receptor A (IR-A) expression was higher and IGF1 receptor lower in CD34+/CD49b+ vs CD34−/CD49b− cells (15-fold and 0.35-fold, respectively; P &lt; 0.05). IGF2 significantly increased cell number (1.4-fold; P &lt; 0.001), proliferation indices, and extracellular signal-regulated kinase (ERK) phosphorylation. ERK inhibition decreased IGF2-stimulated cell proliferation. Conclusions: IGF2 and IR-A are important for leiomyoma stem cell proliferation and may represent paracrine signaling between leiomyoma cell types. Therapies targeting the IGF pathway should be investigated for both treatment and prevention of leiomyomas. Microarray and functional studies of three leiomyoma cell populations, including stem cells, implicated the IGF2 pathway in paracrine signaling and as important for cell proliferation.</description><identifier>ISSN: 0021-972X</identifier><identifier>EISSN: 1945-7197</identifier><identifier>DOI: 10.1210/jc.2016-3497</identifier><identifier>PMID: 28324020</identifier><language>eng</language><publisher>Washington, DC: Endocrine Society</publisher><subject>Adult ; African Americans ; Antigens, CD - genetics ; Antigens, CD - metabolism ; Antigens, CD34 - metabolism ; CD34 antigen ; Cell Differentiation - genetics ; Cell growth ; Cell number ; Cell proliferation ; Cell Proliferation - genetics ; Clinical s ; DNA microarrays ; Extracellular signal-regulated kinase ; Female ; Fibroids ; Flow Cytometry ; Gene expression ; Gene Expression Profiling ; Growth factors ; Humans ; Immunoblotting ; Insulin ; Insulin-like growth factor I ; Insulin-like growth factor II ; Insulin-Like Growth Factor II - genetics ; Insulin-Like Growth Factor II - metabolism ; Integrin alpha2 - metabolism ; Kinases ; Leiomyoma - genetics ; Leiomyoma - metabolism ; MAP Kinase Signaling System ; Middle Aged ; Neoplastic Stem Cells - cytology ; Neoplastic Stem Cells - metabolism ; Paracrine Communication - genetics ; Paracrine signalling ; Phosphorylation ; Polymerase chain reaction ; Real-Time Polymerase Chain Reaction ; Receptor, Insulin - genetics ; Receptor, Insulin - metabolism ; Signal transduction ; Stem cells ; Tissue Array Analysis ; Tumors ; Uterine Neoplasms - genetics ; Uterine Neoplasms - metabolism ; Uterus</subject><ispartof>The journal of clinical endocrinology and metabolism, 2017-05, Vol.102 (5), p.1588-1595</ispartof><rights>Copyright © 2017 Endocrine Society 2017</rights><rights>Copyright © 2017 by the Endocrine Society</rights><rights>Copyright © 2017 Endocrine Society</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c510t-ec15555e4934635215f4a1be07cd4c468d42a170beef2c4ffc0fcc65e4b77b1e3</citedby><cites>FETCH-LOGICAL-c510t-ec15555e4934635215f4a1be07cd4c468d42a170beef2c4ffc0fcc65e4b77b1e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2030631293?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>230,314,776,780,881,21367,27901,27902,33721,33722,43781</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28324020$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Moravek, Molly B.</creatorcontrib><creatorcontrib>Yin, Ping</creatorcontrib><creatorcontrib>Coon, John S.</creatorcontrib><creatorcontrib>Ono, Masanori</creatorcontrib><creatorcontrib>Druschitz, Stacy A.</creatorcontrib><creatorcontrib>Malpani, Saurabh S.</creatorcontrib><creatorcontrib>Dyson, Matthew T.</creatorcontrib><creatorcontrib>Rademaker, Alfred W.</creatorcontrib><creatorcontrib>Robins, Jared C.</creatorcontrib><creatorcontrib>Wei, Jian-Jun</creatorcontrib><creatorcontrib>Kim, J. Julie</creatorcontrib><creatorcontrib>Bulun, Serdar E.</creatorcontrib><title>Paracrine Pathways in Uterine Leiomyoma Stem Cells Involve Insulinlike Growth Factor 2 and Insulin Receptor A</title><title>The journal of clinical endocrinology and metabolism</title><addtitle>J Clin Endocrinol Metab</addtitle><description>Abstract Context: Uterine leiomyomas (fibroids) are the most common benign tumors in women. Recently, three populations of leiomyoma cells were discovered on the basis of CD34 and CD49b expression, but molecular differences between these populations remain unknown. Objective: To define differential gene expression and signaling pathways in leiomyoma cell populations. Design: Cells from human leiomyoma tissue were sorted by flow cytometry into three populations: CD34+/CD49b+, CD34+/CD49b−, and CD34−/CD49b−. Microarray gene expression profiling and pathway analysis were performed. To investigate the insulinlike growth factor (IGF) pathway, real-time quantitative polymerase chain reaction, immunoblotting, and 5-ethynyl-2′-deoxyuridine incorporation studies were performed in cells isolated from fresh leiomyoma. Setting: Research laboratory. Patients: Eight African American women. Interventions: None Main Outcomes Measures: Gene expression patterns, cell proliferation, and differentiation. Results: A total of 1164 genes were differentially expressed in the three leiomyoma cell populations, suggesting a hierarchical differentiation order whereby CD34+/CD49b+ stem cells differentiate to CD34+/CD49b− intermediary cells, which then terminally differentiate to CD34−/CD49b− cells. Pathway analysis revealed differential expression of several IGF signaling pathway genes. IGF2 was overexpressed in CD34+/CD49b− vs CD34−/CD49b− cells (83-fold; P &lt; 0.05). Insulin receptor A (IR-A) expression was higher and IGF1 receptor lower in CD34+/CD49b+ vs CD34−/CD49b− cells (15-fold and 0.35-fold, respectively; P &lt; 0.05). IGF2 significantly increased cell number (1.4-fold; P &lt; 0.001), proliferation indices, and extracellular signal-regulated kinase (ERK) phosphorylation. ERK inhibition decreased IGF2-stimulated cell proliferation. Conclusions: IGF2 and IR-A are important for leiomyoma stem cell proliferation and may represent paracrine signaling between leiomyoma cell types. Therapies targeting the IGF pathway should be investigated for both treatment and prevention of leiomyomas. Microarray and functional studies of three leiomyoma cell populations, including stem cells, implicated the IGF2 pathway in paracrine signaling and as important for cell proliferation.</description><subject>Adult</subject><subject>African Americans</subject><subject>Antigens, CD - genetics</subject><subject>Antigens, CD - metabolism</subject><subject>Antigens, CD34 - metabolism</subject><subject>CD34 antigen</subject><subject>Cell Differentiation - genetics</subject><subject>Cell growth</subject><subject>Cell number</subject><subject>Cell proliferation</subject><subject>Cell Proliferation - genetics</subject><subject>Clinical s</subject><subject>DNA microarrays</subject><subject>Extracellular signal-regulated kinase</subject><subject>Female</subject><subject>Fibroids</subject><subject>Flow Cytometry</subject><subject>Gene expression</subject><subject>Gene Expression Profiling</subject><subject>Growth factors</subject><subject>Humans</subject><subject>Immunoblotting</subject><subject>Insulin</subject><subject>Insulin-like growth factor I</subject><subject>Insulin-like growth factor II</subject><subject>Insulin-Like Growth Factor II - genetics</subject><subject>Insulin-Like Growth Factor II - metabolism</subject><subject>Integrin alpha2 - metabolism</subject><subject>Kinases</subject><subject>Leiomyoma - genetics</subject><subject>Leiomyoma - metabolism</subject><subject>MAP Kinase Signaling System</subject><subject>Middle Aged</subject><subject>Neoplastic Stem Cells - cytology</subject><subject>Neoplastic Stem Cells - metabolism</subject><subject>Paracrine Communication - genetics</subject><subject>Paracrine signalling</subject><subject>Phosphorylation</subject><subject>Polymerase chain reaction</subject><subject>Real-Time Polymerase Chain Reaction</subject><subject>Receptor, Insulin - genetics</subject><subject>Receptor, Insulin - metabolism</subject><subject>Signal transduction</subject><subject>Stem cells</subject><subject>Tissue Array Analysis</subject><subject>Tumors</subject><subject>Uterine Neoplasms - genetics</subject><subject>Uterine Neoplasms - metabolism</subject><subject>Uterus</subject><issn>0021-972X</issn><issn>1945-7197</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNp1ks1rGzEQxUVpadykt56LoIf2kE1GH_t1KQTTpAFDQ9JAb0Irz9ZydyVX2nXwfx9tnIS20LkMzPzmoccTIe8YnDDO4HRtTjiwIhOyLl-QGatlnpWsLl-SGQBnWV3yHwfkTYxrACZlLl6TA14JLoHDjPRXOmgTrEN6pYfVnd5Fah29HfBhtkDr-53vNb0ZsKdz7LpIL93Wd1tMPY6ddZ39hfQi-LthRc-1GXygnGq3fNrTazS4mcZnR-RVq7uIbx_7Ibk9__J9_jVbfLu4nJ8tMpMzGDI0LE-FshayEDlneSs1axBKs5RGFtVScs1KaBBbbmTbGmiNKdJBU5YNQ3FIPu91N2PT49KgG4Lu1CbYXoed8tqqvzfOrtRPv1W5lEIImQQ-PQoE_3vEOKjeRpPca4d-jIpVFUAlq2pCP_yDrv0YXLKnOAgoBOO1SNTxnjLBxxiwfX4MAzXlqNZGTTmqKceEv__TwDP8FFwCPu4BP27-J_XwJcQ9fsulpg</recordid><startdate>20170501</startdate><enddate>20170501</enddate><creator>Moravek, Molly B.</creator><creator>Yin, Ping</creator><creator>Coon, John S.</creator><creator>Ono, Masanori</creator><creator>Druschitz, Stacy A.</creator><creator>Malpani, Saurabh S.</creator><creator>Dyson, Matthew T.</creator><creator>Rademaker, Alfred W.</creator><creator>Robins, Jared C.</creator><creator>Wei, Jian-Jun</creator><creator>Kim, J. 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Julie ; Bulun, Serdar E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c510t-ec15555e4934635215f4a1be07cd4c468d42a170beef2c4ffc0fcc65e4b77b1e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Adult</topic><topic>African Americans</topic><topic>Antigens, CD - genetics</topic><topic>Antigens, CD - metabolism</topic><topic>Antigens, CD34 - metabolism</topic><topic>CD34 antigen</topic><topic>Cell Differentiation - genetics</topic><topic>Cell growth</topic><topic>Cell number</topic><topic>Cell proliferation</topic><topic>Cell Proliferation - genetics</topic><topic>Clinical s</topic><topic>DNA microarrays</topic><topic>Extracellular signal-regulated kinase</topic><topic>Female</topic><topic>Fibroids</topic><topic>Flow Cytometry</topic><topic>Gene expression</topic><topic>Gene Expression Profiling</topic><topic>Growth factors</topic><topic>Humans</topic><topic>Immunoblotting</topic><topic>Insulin</topic><topic>Insulin-like growth factor I</topic><topic>Insulin-like growth factor II</topic><topic>Insulin-Like Growth Factor II - genetics</topic><topic>Insulin-Like Growth Factor II - metabolism</topic><topic>Integrin alpha2 - metabolism</topic><topic>Kinases</topic><topic>Leiomyoma - genetics</topic><topic>Leiomyoma - metabolism</topic><topic>MAP Kinase Signaling System</topic><topic>Middle Aged</topic><topic>Neoplastic Stem Cells - cytology</topic><topic>Neoplastic Stem Cells - metabolism</topic><topic>Paracrine Communication - genetics</topic><topic>Paracrine signalling</topic><topic>Phosphorylation</topic><topic>Polymerase chain reaction</topic><topic>Real-Time Polymerase Chain Reaction</topic><topic>Receptor, Insulin - genetics</topic><topic>Receptor, Insulin - metabolism</topic><topic>Signal transduction</topic><topic>Stem cells</topic><topic>Tissue Array Analysis</topic><topic>Tumors</topic><topic>Uterine Neoplasms - genetics</topic><topic>Uterine Neoplasms - metabolism</topic><topic>Uterus</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Moravek, Molly B.</creatorcontrib><creatorcontrib>Yin, Ping</creatorcontrib><creatorcontrib>Coon, John S.</creatorcontrib><creatorcontrib>Ono, Masanori</creatorcontrib><creatorcontrib>Druschitz, Stacy A.</creatorcontrib><creatorcontrib>Malpani, Saurabh S.</creatorcontrib><creatorcontrib>Dyson, Matthew T.</creatorcontrib><creatorcontrib>Rademaker, Alfred W.</creatorcontrib><creatorcontrib>Robins, Jared C.</creatorcontrib><creatorcontrib>Wei, Jian-Jun</creatorcontrib><creatorcontrib>Kim, J. 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Julie</au><au>Bulun, Serdar E.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Paracrine Pathways in Uterine Leiomyoma Stem Cells Involve Insulinlike Growth Factor 2 and Insulin Receptor A</atitle><jtitle>The journal of clinical endocrinology and metabolism</jtitle><addtitle>J Clin Endocrinol Metab</addtitle><date>2017-05-01</date><risdate>2017</risdate><volume>102</volume><issue>5</issue><spage>1588</spage><epage>1595</epage><pages>1588-1595</pages><issn>0021-972X</issn><eissn>1945-7197</eissn><abstract>Abstract Context: Uterine leiomyomas (fibroids) are the most common benign tumors in women. Recently, three populations of leiomyoma cells were discovered on the basis of CD34 and CD49b expression, but molecular differences between these populations remain unknown. Objective: To define differential gene expression and signaling pathways in leiomyoma cell populations. Design: Cells from human leiomyoma tissue were sorted by flow cytometry into three populations: CD34+/CD49b+, CD34+/CD49b−, and CD34−/CD49b−. Microarray gene expression profiling and pathway analysis were performed. To investigate the insulinlike growth factor (IGF) pathway, real-time quantitative polymerase chain reaction, immunoblotting, and 5-ethynyl-2′-deoxyuridine incorporation studies were performed in cells isolated from fresh leiomyoma. Setting: Research laboratory. Patients: Eight African American women. Interventions: None Main Outcomes Measures: Gene expression patterns, cell proliferation, and differentiation. Results: A total of 1164 genes were differentially expressed in the three leiomyoma cell populations, suggesting a hierarchical differentiation order whereby CD34+/CD49b+ stem cells differentiate to CD34+/CD49b− intermediary cells, which then terminally differentiate to CD34−/CD49b− cells. Pathway analysis revealed differential expression of several IGF signaling pathway genes. IGF2 was overexpressed in CD34+/CD49b− vs CD34−/CD49b− cells (83-fold; P &lt; 0.05). Insulin receptor A (IR-A) expression was higher and IGF1 receptor lower in CD34+/CD49b+ vs CD34−/CD49b− cells (15-fold and 0.35-fold, respectively; P &lt; 0.05). IGF2 significantly increased cell number (1.4-fold; P &lt; 0.001), proliferation indices, and extracellular signal-regulated kinase (ERK) phosphorylation. ERK inhibition decreased IGF2-stimulated cell proliferation. Conclusions: IGF2 and IR-A are important for leiomyoma stem cell proliferation and may represent paracrine signaling between leiomyoma cell types. Therapies targeting the IGF pathway should be investigated for both treatment and prevention of leiomyomas. Microarray and functional studies of three leiomyoma cell populations, including stem cells, implicated the IGF2 pathway in paracrine signaling and as important for cell proliferation.</abstract><cop>Washington, DC</cop><pub>Endocrine Society</pub><pmid>28324020</pmid><doi>10.1210/jc.2016-3497</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record>
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1945-7197
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source Oxford University Press Journals All Titles (1996-Current); MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Alma/SFX Local Collection; Journals@Ovid Complete; ProQuest Central
subjects Adult
African Americans
Antigens, CD - genetics
Antigens, CD - metabolism
Antigens, CD34 - metabolism
CD34 antigen
Cell Differentiation - genetics
Cell growth
Cell number
Cell proliferation
Cell Proliferation - genetics
Clinical s
DNA microarrays
Extracellular signal-regulated kinase
Female
Fibroids
Flow Cytometry
Gene expression
Gene Expression Profiling
Growth factors
Humans
Immunoblotting
Insulin
Insulin-like growth factor I
Insulin-like growth factor II
Insulin-Like Growth Factor II - genetics
Insulin-Like Growth Factor II - metabolism
Integrin alpha2 - metabolism
Kinases
Leiomyoma - genetics
Leiomyoma - metabolism
MAP Kinase Signaling System
Middle Aged
Neoplastic Stem Cells - cytology
Neoplastic Stem Cells - metabolism
Paracrine Communication - genetics
Paracrine signalling
Phosphorylation
Polymerase chain reaction
Real-Time Polymerase Chain Reaction
Receptor, Insulin - genetics
Receptor, Insulin - metabolism
Signal transduction
Stem cells
Tissue Array Analysis
Tumors
Uterine Neoplasms - genetics
Uterine Neoplasms - metabolism
Uterus
title Paracrine Pathways in Uterine Leiomyoma Stem Cells Involve Insulinlike Growth Factor 2 and Insulin Receptor A
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