An HLA-G/SPAG9/STAT3 axis promotes brain metastases
Brain metastases (BM) are the most common brain neoplasm in adults. Current BM therapies still offer limited efficacy and reduced survival outcomes, emphasizing the need for a better understanding of the disease. Herein, we analyzed the transcriptional profile of brain metastasis initiating cells (B...
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creator | Bassey-Archibong, Blessing Iquo Rajendra Chokshi, Chirayu Aghaei, Nikoo Kieliszek, Agata Monika Tatari, Nazanin McKenna, Dillon Singh, Mohini Kalpana Subapanditha, Minomi Parmar, Arun Mobilio, Daniel Savage, Neil Lam, Fred Tokar, Tomas Provias, John Lu, Yu Chafe, Shawn Christopher Swanton, Charles Hynds, Robert Edward Venugopal, Chitra Singh, Sheila Kumari |
description | Brain metastases (BM) are the most common brain neoplasm in adults. Current BM therapies still offer limited efficacy and reduced survival outcomes, emphasizing the need for a better understanding of the disease. Herein, we analyzed the transcriptional profile of brain metastasis initiating cells (BMICs) at two distinct stages of the brain metastatic cascade-the "premetastatic" or early stage when they first colonize the brain and the established macrometastatic stage. RNA sequencing was used to obtain the transcriptional profiles of premetastatic and macrometastatic (non-premetastatic) lung, breast, and melanoma BMICs. We identified that lung, breast, and melanoma premetastatic BMICs share a common transcriptomic signature that is distinct from their non-premetastatic counterparts. Importantly, we show that premetastatic BMICs exhibit increased expression of HLA-G, which we further demonstrate functions in an HLA-G/SPAG9/STAT3 axis to promote the establishment of brain metastatic lesions. Our findings suggest that unraveling the molecular landscape of premetastatic BMICs allows for the identification of clinically relevant targets that can possibly inform the development of preventive and/or more efficacious BM therapies. |
doi_str_mv | 10.1073/pnas.2205247120 |
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Current BM therapies still offer limited efficacy and reduced survival outcomes, emphasizing the need for a better understanding of the disease. Herein, we analyzed the transcriptional profile of brain metastasis initiating cells (BMICs) at two distinct stages of the brain metastatic cascade-the "premetastatic" or early stage when they first colonize the brain and the established macrometastatic stage. RNA sequencing was used to obtain the transcriptional profiles of premetastatic and macrometastatic (non-premetastatic) lung, breast, and melanoma BMICs. We identified that lung, breast, and melanoma premetastatic BMICs share a common transcriptomic signature that is distinct from their non-premetastatic counterparts. Importantly, we show that premetastatic BMICs exhibit increased expression of HLA-G, which we further demonstrate functions in an HLA-G/SPAG9/STAT3 axis to promote the establishment of brain metastatic lesions. Our findings suggest that unraveling the molecular landscape of premetastatic BMICs allows for the identification of clinically relevant targets that can possibly inform the development of preventive and/or more efficacious BM therapies.</description><identifier>ISSN: 0027-8424</identifier><identifier>EISSN: 1091-6490</identifier><identifier>DOI: 10.1073/pnas.2205247120</identifier><identifier>PMID: 36780531</identifier><language>eng</language><publisher>United States: National Academy of Sciences</publisher><subject>Adaptor Proteins, Signal Transducing ; Adult ; Biological Sciences ; Brain ; Brain - pathology ; Brain Neoplasms - secondary ; Breast ; Breast Neoplasms - pathology ; Gene sequencing ; HLA-G Antigens - genetics ; Humans ; Lung - pathology ; Lung Neoplasms - pathology ; Lungs ; Melanoma ; Melanoma - pathology ; Metastases ; Metastasis ; Stat3 protein ; STAT3 Transcription Factor - genetics ; Transcriptomics</subject><ispartof>Proceedings of the National Academy of Sciences - PNAS, 2023-02, Vol.120 (8), p.e2205247120-e2205247120</ispartof><rights>Copyright National Academy of Sciences Feb 21, 2023</rights><rights>Copyright © 2023 the Author(s). Published by PNAS. 2023</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c421t-f8629c8a00f7efc2d09f8823a8ed700fb853383564aa080995b978b6f01581bf3</citedby><cites>FETCH-LOGICAL-c421t-f8629c8a00f7efc2d09f8823a8ed700fb853383564aa080995b978b6f01581bf3</cites><orcidid>0000-0002-9801-5037 ; 0000-0003-3394-668X ; 0000-0002-2170-8791 ; 0000-0001-8802-651X ; 0000-0002-5176-4890</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9974476/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9974476/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36780531$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Bassey-Archibong, Blessing Iquo</creatorcontrib><creatorcontrib>Rajendra Chokshi, Chirayu</creatorcontrib><creatorcontrib>Aghaei, Nikoo</creatorcontrib><creatorcontrib>Kieliszek, Agata Monika</creatorcontrib><creatorcontrib>Tatari, Nazanin</creatorcontrib><creatorcontrib>McKenna, Dillon</creatorcontrib><creatorcontrib>Singh, Mohini</creatorcontrib><creatorcontrib>Kalpana Subapanditha, Minomi</creatorcontrib><creatorcontrib>Parmar, Arun</creatorcontrib><creatorcontrib>Mobilio, Daniel</creatorcontrib><creatorcontrib>Savage, Neil</creatorcontrib><creatorcontrib>Lam, Fred</creatorcontrib><creatorcontrib>Tokar, Tomas</creatorcontrib><creatorcontrib>Provias, John</creatorcontrib><creatorcontrib>Lu, Yu</creatorcontrib><creatorcontrib>Chafe, Shawn Christopher</creatorcontrib><creatorcontrib>Swanton, Charles</creatorcontrib><creatorcontrib>Hynds, Robert Edward</creatorcontrib><creatorcontrib>Venugopal, Chitra</creatorcontrib><creatorcontrib>Singh, Sheila Kumari</creatorcontrib><title>An HLA-G/SPAG9/STAT3 axis promotes brain metastases</title><title>Proceedings of the National Academy of Sciences - PNAS</title><addtitle>Proc Natl Acad Sci U S A</addtitle><description>Brain metastases (BM) are the most common brain neoplasm in adults. Current BM therapies still offer limited efficacy and reduced survival outcomes, emphasizing the need for a better understanding of the disease. Herein, we analyzed the transcriptional profile of brain metastasis initiating cells (BMICs) at two distinct stages of the brain metastatic cascade-the "premetastatic" or early stage when they first colonize the brain and the established macrometastatic stage. RNA sequencing was used to obtain the transcriptional profiles of premetastatic and macrometastatic (non-premetastatic) lung, breast, and melanoma BMICs. We identified that lung, breast, and melanoma premetastatic BMICs share a common transcriptomic signature that is distinct from their non-premetastatic counterparts. Importantly, we show that premetastatic BMICs exhibit increased expression of HLA-G, which we further demonstrate functions in an HLA-G/SPAG9/STAT3 axis to promote the establishment of brain metastatic lesions. Our findings suggest that unraveling the molecular landscape of premetastatic BMICs allows for the identification of clinically relevant targets that can possibly inform the development of preventive and/or more efficacious BM therapies.</description><subject>Adaptor Proteins, Signal Transducing</subject><subject>Adult</subject><subject>Biological Sciences</subject><subject>Brain</subject><subject>Brain - pathology</subject><subject>Brain Neoplasms - secondary</subject><subject>Breast</subject><subject>Breast Neoplasms - pathology</subject><subject>Gene sequencing</subject><subject>HLA-G Antigens - genetics</subject><subject>Humans</subject><subject>Lung - pathology</subject><subject>Lung Neoplasms - pathology</subject><subject>Lungs</subject><subject>Melanoma</subject><subject>Melanoma - pathology</subject><subject>Metastases</subject><subject>Metastasis</subject><subject>Stat3 protein</subject><subject>STAT3 Transcription Factor - genetics</subject><subject>Transcriptomics</subject><issn>0027-8424</issn><issn>1091-6490</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpdkctLw0AQxhdRbK2evUnAi5e0s4_s4yKEoq1QUGg9L5t0oyl5uZuI_vemtNYHDAzM_OZjPj6ELjGMMQg6aSrjx4RARJjABI7QEIPCIWcKjtEQgIhQMsIG6Mz7DQCoSMIpGlAuJEQUDxGNq2C-iMPZZPkUz9RkuYpXNDAfuQ8aV5d1a32QOJNXQWlb4_uy_hydZKbw9mLfR-j5_m41nYeLx9nDNF6EKSO4DTPJiUqlAciEzVKyBpVJSaiRdi36YSIjSiWNODMGJCgVJUrIhGeAI4mTjI7Q7U636ZLSrlNbtc4UunF5adynrk2u_26q_FW_1O9aKcGY4L3AzV7A1W-d9a0uc5_aojCVrTuviRA8woJz6NHrf-im7lzV29tSSjGOFe2pyY5KXe29s9nhGQx6G4jeBqJ_Aukvrn57OPDfCdAvZAKEHg</recordid><startdate>20230221</startdate><enddate>20230221</enddate><creator>Bassey-Archibong, Blessing Iquo</creator><creator>Rajendra Chokshi, Chirayu</creator><creator>Aghaei, Nikoo</creator><creator>Kieliszek, Agata Monika</creator><creator>Tatari, Nazanin</creator><creator>McKenna, Dillon</creator><creator>Singh, Mohini</creator><creator>Kalpana Subapanditha, Minomi</creator><creator>Parmar, Arun</creator><creator>Mobilio, Daniel</creator><creator>Savage, Neil</creator><creator>Lam, Fred</creator><creator>Tokar, Tomas</creator><creator>Provias, John</creator><creator>Lu, Yu</creator><creator>Chafe, Shawn Christopher</creator><creator>Swanton, Charles</creator><creator>Hynds, Robert Edward</creator><creator>Venugopal, Chitra</creator><creator>Singh, Sheila Kumari</creator><general>National Academy of Sciences</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QG</scope><scope>7QL</scope><scope>7QP</scope><scope>7QR</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TK</scope><scope>7TM</scope><scope>7TO</scope><scope>7U9</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>H94</scope><scope>M7N</scope><scope>P64</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-9801-5037</orcidid><orcidid>https://orcid.org/0000-0003-3394-668X</orcidid><orcidid>https://orcid.org/0000-0002-2170-8791</orcidid><orcidid>https://orcid.org/0000-0001-8802-651X</orcidid><orcidid>https://orcid.org/0000-0002-5176-4890</orcidid></search><sort><creationdate>20230221</creationdate><title>An HLA-G/SPAG9/STAT3 axis promotes brain metastases</title><author>Bassey-Archibong, Blessing Iquo ; Rajendra Chokshi, Chirayu ; Aghaei, Nikoo ; Kieliszek, Agata Monika ; Tatari, Nazanin ; McKenna, Dillon ; Singh, Mohini ; Kalpana Subapanditha, Minomi ; Parmar, Arun ; Mobilio, Daniel ; Savage, Neil ; Lam, Fred ; Tokar, Tomas ; Provias, John ; Lu, Yu ; Chafe, Shawn Christopher ; Swanton, Charles ; Hynds, Robert Edward ; Venugopal, Chitra ; Singh, Sheila Kumari</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c421t-f8629c8a00f7efc2d09f8823a8ed700fb853383564aa080995b978b6f01581bf3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Adaptor Proteins, Signal Transducing</topic><topic>Adult</topic><topic>Biological Sciences</topic><topic>Brain</topic><topic>Brain - pathology</topic><topic>Brain Neoplasms - secondary</topic><topic>Breast</topic><topic>Breast Neoplasms - pathology</topic><topic>Gene sequencing</topic><topic>HLA-G Antigens - genetics</topic><topic>Humans</topic><topic>Lung - pathology</topic><topic>Lung Neoplasms - pathology</topic><topic>Lungs</topic><topic>Melanoma</topic><topic>Melanoma - pathology</topic><topic>Metastases</topic><topic>Metastasis</topic><topic>Stat3 protein</topic><topic>STAT3 Transcription Factor - genetics</topic><topic>Transcriptomics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bassey-Archibong, Blessing Iquo</creatorcontrib><creatorcontrib>Rajendra Chokshi, Chirayu</creatorcontrib><creatorcontrib>Aghaei, Nikoo</creatorcontrib><creatorcontrib>Kieliszek, Agata Monika</creatorcontrib><creatorcontrib>Tatari, Nazanin</creatorcontrib><creatorcontrib>McKenna, Dillon</creatorcontrib><creatorcontrib>Singh, Mohini</creatorcontrib><creatorcontrib>Kalpana Subapanditha, Minomi</creatorcontrib><creatorcontrib>Parmar, Arun</creatorcontrib><creatorcontrib>Mobilio, Daniel</creatorcontrib><creatorcontrib>Savage, Neil</creatorcontrib><creatorcontrib>Lam, Fred</creatorcontrib><creatorcontrib>Tokar, Tomas</creatorcontrib><creatorcontrib>Provias, John</creatorcontrib><creatorcontrib>Lu, Yu</creatorcontrib><creatorcontrib>Chafe, Shawn Christopher</creatorcontrib><creatorcontrib>Swanton, Charles</creatorcontrib><creatorcontrib>Hynds, Robert Edward</creatorcontrib><creatorcontrib>Venugopal, Chitra</creatorcontrib><creatorcontrib>Singh, Sheila Kumari</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Proceedings of the National Academy of Sciences - PNAS</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bassey-Archibong, Blessing Iquo</au><au>Rajendra Chokshi, Chirayu</au><au>Aghaei, Nikoo</au><au>Kieliszek, Agata Monika</au><au>Tatari, Nazanin</au><au>McKenna, Dillon</au><au>Singh, Mohini</au><au>Kalpana Subapanditha, Minomi</au><au>Parmar, Arun</au><au>Mobilio, Daniel</au><au>Savage, Neil</au><au>Lam, Fred</au><au>Tokar, Tomas</au><au>Provias, John</au><au>Lu, Yu</au><au>Chafe, Shawn Christopher</au><au>Swanton, Charles</au><au>Hynds, Robert Edward</au><au>Venugopal, Chitra</au><au>Singh, Sheila Kumari</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An HLA-G/SPAG9/STAT3 axis promotes brain metastases</atitle><jtitle>Proceedings of the National Academy of Sciences - PNAS</jtitle><addtitle>Proc Natl Acad Sci U S A</addtitle><date>2023-02-21</date><risdate>2023</risdate><volume>120</volume><issue>8</issue><spage>e2205247120</spage><epage>e2205247120</epage><pages>e2205247120-e2205247120</pages><issn>0027-8424</issn><eissn>1091-6490</eissn><abstract>Brain metastases (BM) are the most common brain neoplasm in adults. Current BM therapies still offer limited efficacy and reduced survival outcomes, emphasizing the need for a better understanding of the disease. Herein, we analyzed the transcriptional profile of brain metastasis initiating cells (BMICs) at two distinct stages of the brain metastatic cascade-the "premetastatic" or early stage when they first colonize the brain and the established macrometastatic stage. RNA sequencing was used to obtain the transcriptional profiles of premetastatic and macrometastatic (non-premetastatic) lung, breast, and melanoma BMICs. We identified that lung, breast, and melanoma premetastatic BMICs share a common transcriptomic signature that is distinct from their non-premetastatic counterparts. Importantly, we show that premetastatic BMICs exhibit increased expression of HLA-G, which we further demonstrate functions in an HLA-G/SPAG9/STAT3 axis to promote the establishment of brain metastatic lesions. Our findings suggest that unraveling the molecular landscape of premetastatic BMICs allows for the identification of clinically relevant targets that can possibly inform the development of preventive and/or more efficacious BM therapies.</abstract><cop>United States</cop><pub>National Academy of Sciences</pub><pmid>36780531</pmid><doi>10.1073/pnas.2205247120</doi><orcidid>https://orcid.org/0000-0002-9801-5037</orcidid><orcidid>https://orcid.org/0000-0003-3394-668X</orcidid><orcidid>https://orcid.org/0000-0002-2170-8791</orcidid><orcidid>https://orcid.org/0000-0001-8802-651X</orcidid><orcidid>https://orcid.org/0000-0002-5176-4890</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adaptor Proteins, Signal Transducing Adult Biological Sciences Brain Brain - pathology Brain Neoplasms - secondary Breast Breast Neoplasms - pathology Gene sequencing HLA-G Antigens - genetics Humans Lung - pathology Lung Neoplasms - pathology Lungs Melanoma Melanoma - pathology Metastases Metastasis Stat3 protein STAT3 Transcription Factor - genetics Transcriptomics |
title | An HLA-G/SPAG9/STAT3 axis promotes brain metastases |
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