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Radio-pathomic maps of glioblastoma identify phenotypes of non-enhancing tumor infiltration associated with bevacizumab treatment response
Background Autopsy-based radio-pathomic maps of glioma pathology have shown substantial promise inidentifying areas of non-enhancing tumor presence, which may be able to differentiate subsets of patients that respond favorably to treatments such as bevacizumab that have shown mixed efficacy evidence...
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Published in: | Journal of neuro-oncology 2024-04, Vol.167 (2), p.233-241 |
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container_title | Journal of neuro-oncology |
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creator | Bobholz, Samuel A. Hoefs, Alisha Hamburger, Jordyn Lowman, Allison K. Winiarz, Aleksandra Duenweg, Savannah R. Kyereme, Fitzgerald Connelly, Jennifer Coss, Dylan Krucoff, Max Banerjee, Anjishnu LaViolette, Peter S. |
description | Background
Autopsy-based radio-pathomic maps of glioma pathology have shown substantial promise inidentifying areas of non-enhancing tumor presence, which may be able to differentiate subsets of patients that respond favorably to treatments such as bevacizumab that have shown mixed efficacy evidence. We tested the hypthesis that phenotypes of non-enhancing tumor fronts can distinguish between glioblastoma patients that will respond favorably to bevacizumab and will visually capture treatment response.
Methods
T1, T1C, FLAIR, and ADC images were used to generate radio-pathomic maps of tumor characteristics for 79 pre-treatment patients with a primary GBM or high-grade IDH1-mutant astrocytoma for this study. Novel phenotyping (hypercellular, hypocellular, hybrid, or well-circumscribed front) of the non-enhancing tumor front was performed on each case. Kaplan Meier analyses were then used to assess differences in survival and bevacizumab efficacy between phenotypes. Phenotype compartment segmentations generated longitudinally for a subset of 26 patients over the course of bevacizumab treatment, where a mixed effect model was used to detect longitudinal changes.
Results
Well-Circumscribed patients showed significant/trending increases in survival compared to Hypercellular Front (HR = 2.0,
p
= 0.05), Hypocellular Front (HR = 2.02,
p
= 0.03), and Hybrid Front tumors (HR = 1.75,
p
= 0.09). Only patients with hypocellular or hybrid fronts showed significant survival benefits from bevacizumab treatment (HR = 2.35,
p
= 0.02; and HR = 2.45,
p
= 0.03, respectively). Hypocellular volumes decreased by an average 50.52 mm
3
per day of bevacizumab treatment (
p
= 0.002).
Conclusion
Patients with a hypocellular tumor front identified by radio-pathomic maps showed improved treatment efficacy when treated with bevacizumab, and reducing hypocellular volumes over the course of treatment may indicate treatment response. |
doi_str_mv | 10.1007/s11060-024-04593-7 |
format | article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11024025</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2928585140</sourcerecordid><originalsourceid>FETCH-LOGICAL-c475t-e15514cf1d51812052ee25b39d734af7129bde19dd39dad7fcedabc07dff783a3</originalsourceid><addsrcrecordid>eNp9kc1u1TAQhSMEopfCC7BAltiwCfgnrm9WCFUUkCohIZDYWRN7fOMqsYPttLp9BJ4a01vKz4KVLc83Z874NM1TRl8yStWrzBg9oS3lXUs72YtW3Ws2TKp6EUrcbzaUnahW9t3Xo-ZRzheU0k4J9rA5EluheE_Zpvn-CayP7QJljLM3ZIYlk-jIbvJxmCCXOAPxFkPxbk-WEUMs-wVvmBBDi2GEYHzYkbLOMREfnJ9KguJjIJBzNB4KWnLly0gGvATjr9cZBlISQpmrLkmYlxgyPm4eOJgyPrk9j5svZ28_n75vzz---3D65rw1nZKlRSYl64xjVrIt41RyRC4H0VslOnCK8X6wyHpr6xNY5QxaGAxV1jm1FSCOm9cH3WUdZrSmekgw6SX5GdJeR_D670rwo97FS12_m3eUy6rw4lYhxW8r5qJnnw1OEwSMa9a851u5rS5pRZ__g17ENYW6nxa0o0z0gvJK8QNlUsw5obtzw6j-mbU-ZK2rAX2TtVa16dmfe9y1_Aq3AuIA5FoKO0y_Z_9H9gfp27oj</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3040139302</pqid></control><display><type>article</type><title>Radio-pathomic maps of glioblastoma identify phenotypes of non-enhancing tumor infiltration associated with bevacizumab treatment response</title><source>Springer Link</source><creator>Bobholz, Samuel A. ; Hoefs, Alisha ; Hamburger, Jordyn ; Lowman, Allison K. ; Winiarz, Aleksandra ; Duenweg, Savannah R. ; Kyereme, Fitzgerald ; Connelly, Jennifer ; Coss, Dylan ; Krucoff, Max ; Banerjee, Anjishnu ; LaViolette, Peter S.</creator><creatorcontrib>Bobholz, Samuel A. ; Hoefs, Alisha ; Hamburger, Jordyn ; Lowman, Allison K. ; Winiarz, Aleksandra ; Duenweg, Savannah R. ; Kyereme, Fitzgerald ; Connelly, Jennifer ; Coss, Dylan ; Krucoff, Max ; Banerjee, Anjishnu ; LaViolette, Peter S.</creatorcontrib><description>Background
Autopsy-based radio-pathomic maps of glioma pathology have shown substantial promise inidentifying areas of non-enhancing tumor presence, which may be able to differentiate subsets of patients that respond favorably to treatments such as bevacizumab that have shown mixed efficacy evidence. We tested the hypthesis that phenotypes of non-enhancing tumor fronts can distinguish between glioblastoma patients that will respond favorably to bevacizumab and will visually capture treatment response.
Methods
T1, T1C, FLAIR, and ADC images were used to generate radio-pathomic maps of tumor characteristics for 79 pre-treatment patients with a primary GBM or high-grade IDH1-mutant astrocytoma for this study. Novel phenotyping (hypercellular, hypocellular, hybrid, or well-circumscribed front) of the non-enhancing tumor front was performed on each case. Kaplan Meier analyses were then used to assess differences in survival and bevacizumab efficacy between phenotypes. Phenotype compartment segmentations generated longitudinally for a subset of 26 patients over the course of bevacizumab treatment, where a mixed effect model was used to detect longitudinal changes.
Results
Well-Circumscribed patients showed significant/trending increases in survival compared to Hypercellular Front (HR = 2.0,
p
= 0.05), Hypocellular Front (HR = 2.02,
p
= 0.03), and Hybrid Front tumors (HR = 1.75,
p
= 0.09). Only patients with hypocellular or hybrid fronts showed significant survival benefits from bevacizumab treatment (HR = 2.35,
p
= 0.02; and HR = 2.45,
p
= 0.03, respectively). Hypocellular volumes decreased by an average 50.52 mm
3
per day of bevacizumab treatment (
p
= 0.002).
Conclusion
Patients with a hypocellular tumor front identified by radio-pathomic maps showed improved treatment efficacy when treated with bevacizumab, and reducing hypocellular volumes over the course of treatment may indicate treatment response.</description><identifier>ISSN: 0167-594X</identifier><identifier>ISSN: 1573-7373</identifier><identifier>EISSN: 1573-7373</identifier><identifier>DOI: 10.1007/s11060-024-04593-7</identifier><identifier>PMID: 38372901</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Angiogenesis Inhibitors - therapeutic use ; Antibodies, Monoclonal, Humanized - therapeutic use ; Astrocytoma ; Autopsy ; Bevacizumab ; Bevacizumab - therapeutic use ; Brain Neoplasms - drug therapy ; Brain Neoplasms - genetics ; Brain tumors ; Glioblastoma ; Glioblastoma - drug therapy ; Glioblastoma - genetics ; Glioma ; Humans ; Magnetic Resonance Imaging - methods ; Medicine ; Medicine & Public Health ; Metastases ; Neoplasm Recurrence, Local - pathology ; Neurology ; Oncology ; Phenotypes ; Phenotyping ; Survival</subject><ispartof>Journal of neuro-oncology, 2024-04, Vol.167 (2), p.233-241</ispartof><rights>The Author(s) 2024. corrected publication 2024</rights><rights>2024. The Author(s).</rights><rights>The Author(s) 2024. corrected publication 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>The Author(s) 2024, corrected publication 2024</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c475t-e15514cf1d51812052ee25b39d734af7129bde19dd39dad7fcedabc07dff783a3</citedby><cites>FETCH-LOGICAL-c475t-e15514cf1d51812052ee25b39d734af7129bde19dd39dad7fcedabc07dff783a3</cites><orcidid>0000-0002-9602-6891</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38372901$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Bobholz, Samuel A.</creatorcontrib><creatorcontrib>Hoefs, Alisha</creatorcontrib><creatorcontrib>Hamburger, Jordyn</creatorcontrib><creatorcontrib>Lowman, Allison K.</creatorcontrib><creatorcontrib>Winiarz, Aleksandra</creatorcontrib><creatorcontrib>Duenweg, Savannah R.</creatorcontrib><creatorcontrib>Kyereme, Fitzgerald</creatorcontrib><creatorcontrib>Connelly, Jennifer</creatorcontrib><creatorcontrib>Coss, Dylan</creatorcontrib><creatorcontrib>Krucoff, Max</creatorcontrib><creatorcontrib>Banerjee, Anjishnu</creatorcontrib><creatorcontrib>LaViolette, Peter S.</creatorcontrib><title>Radio-pathomic maps of glioblastoma identify phenotypes of non-enhancing tumor infiltration associated with bevacizumab treatment response</title><title>Journal of neuro-oncology</title><addtitle>J Neurooncol</addtitle><addtitle>J Neurooncol</addtitle><description>Background
Autopsy-based radio-pathomic maps of glioma pathology have shown substantial promise inidentifying areas of non-enhancing tumor presence, which may be able to differentiate subsets of patients that respond favorably to treatments such as bevacizumab that have shown mixed efficacy evidence. We tested the hypthesis that phenotypes of non-enhancing tumor fronts can distinguish between glioblastoma patients that will respond favorably to bevacizumab and will visually capture treatment response.
Methods
T1, T1C, FLAIR, and ADC images were used to generate radio-pathomic maps of tumor characteristics for 79 pre-treatment patients with a primary GBM or high-grade IDH1-mutant astrocytoma for this study. Novel phenotyping (hypercellular, hypocellular, hybrid, or well-circumscribed front) of the non-enhancing tumor front was performed on each case. Kaplan Meier analyses were then used to assess differences in survival and bevacizumab efficacy between phenotypes. Phenotype compartment segmentations generated longitudinally for a subset of 26 patients over the course of bevacizumab treatment, where a mixed effect model was used to detect longitudinal changes.
Results
Well-Circumscribed patients showed significant/trending increases in survival compared to Hypercellular Front (HR = 2.0,
p
= 0.05), Hypocellular Front (HR = 2.02,
p
= 0.03), and Hybrid Front tumors (HR = 1.75,
p
= 0.09). Only patients with hypocellular or hybrid fronts showed significant survival benefits from bevacizumab treatment (HR = 2.35,
p
= 0.02; and HR = 2.45,
p
= 0.03, respectively). Hypocellular volumes decreased by an average 50.52 mm
3
per day of bevacizumab treatment (
p
= 0.002).
Conclusion
Patients with a hypocellular tumor front identified by radio-pathomic maps showed improved treatment efficacy when treated with bevacizumab, and reducing hypocellular volumes over the course of treatment may indicate treatment response.</description><subject>Angiogenesis Inhibitors - therapeutic use</subject><subject>Antibodies, Monoclonal, Humanized - therapeutic use</subject><subject>Astrocytoma</subject><subject>Autopsy</subject><subject>Bevacizumab</subject><subject>Bevacizumab - therapeutic use</subject><subject>Brain Neoplasms - drug therapy</subject><subject>Brain Neoplasms - genetics</subject><subject>Brain tumors</subject><subject>Glioblastoma</subject><subject>Glioblastoma - drug therapy</subject><subject>Glioblastoma - genetics</subject><subject>Glioma</subject><subject>Humans</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Metastases</subject><subject>Neoplasm Recurrence, Local - pathology</subject><subject>Neurology</subject><subject>Oncology</subject><subject>Phenotypes</subject><subject>Phenotyping</subject><subject>Survival</subject><issn>0167-594X</issn><issn>1573-7373</issn><issn>1573-7373</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp9kc1u1TAQhSMEopfCC7BAltiwCfgnrm9WCFUUkCohIZDYWRN7fOMqsYPttLp9BJ4a01vKz4KVLc83Z874NM1TRl8yStWrzBg9oS3lXUs72YtW3Ws2TKp6EUrcbzaUnahW9t3Xo-ZRzheU0k4J9rA5EluheE_Zpvn-CayP7QJljLM3ZIYlk-jIbvJxmCCXOAPxFkPxbk-WEUMs-wVvmBBDi2GEYHzYkbLOMREfnJ9KguJjIJBzNB4KWnLly0gGvATjr9cZBlISQpmrLkmYlxgyPm4eOJgyPrk9j5svZ28_n75vzz---3D65rw1nZKlRSYl64xjVrIt41RyRC4H0VslOnCK8X6wyHpr6xNY5QxaGAxV1jm1FSCOm9cH3WUdZrSmekgw6SX5GdJeR_D670rwo97FS12_m3eUy6rw4lYhxW8r5qJnnw1OEwSMa9a851u5rS5pRZ__g17ENYW6nxa0o0z0gvJK8QNlUsw5obtzw6j-mbU-ZK2rAX2TtVa16dmfe9y1_Aq3AuIA5FoKO0y_Z_9H9gfp27oj</recordid><startdate>20240401</startdate><enddate>20240401</enddate><creator>Bobholz, Samuel A.</creator><creator>Hoefs, Alisha</creator><creator>Hamburger, Jordyn</creator><creator>Lowman, Allison K.</creator><creator>Winiarz, Aleksandra</creator><creator>Duenweg, Savannah R.</creator><creator>Kyereme, Fitzgerald</creator><creator>Connelly, Jennifer</creator><creator>Coss, Dylan</creator><creator>Krucoff, Max</creator><creator>Banerjee, Anjishnu</creator><creator>LaViolette, Peter S.</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>C6C</scope><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>7TK</scope><scope>K9.</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-9602-6891</orcidid></search><sort><creationdate>20240401</creationdate><title>Radio-pathomic maps of glioblastoma identify phenotypes of non-enhancing tumor infiltration associated with bevacizumab treatment response</title><author>Bobholz, Samuel A. ; Hoefs, Alisha ; Hamburger, Jordyn ; Lowman, Allison K. ; Winiarz, Aleksandra ; Duenweg, Savannah R. ; Kyereme, Fitzgerald ; Connelly, Jennifer ; Coss, Dylan ; Krucoff, Max ; Banerjee, Anjishnu ; LaViolette, Peter S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c475t-e15514cf1d51812052ee25b39d734af7129bde19dd39dad7fcedabc07dff783a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Angiogenesis Inhibitors - therapeutic use</topic><topic>Antibodies, Monoclonal, Humanized - therapeutic use</topic><topic>Astrocytoma</topic><topic>Autopsy</topic><topic>Bevacizumab</topic><topic>Bevacizumab - therapeutic use</topic><topic>Brain Neoplasms - drug therapy</topic><topic>Brain Neoplasms - genetics</topic><topic>Brain tumors</topic><topic>Glioblastoma</topic><topic>Glioblastoma - drug therapy</topic><topic>Glioblastoma - genetics</topic><topic>Glioma</topic><topic>Humans</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Metastases</topic><topic>Neoplasm Recurrence, Local - pathology</topic><topic>Neurology</topic><topic>Oncology</topic><topic>Phenotypes</topic><topic>Phenotyping</topic><topic>Survival</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bobholz, Samuel A.</creatorcontrib><creatorcontrib>Hoefs, Alisha</creatorcontrib><creatorcontrib>Hamburger, Jordyn</creatorcontrib><creatorcontrib>Lowman, Allison K.</creatorcontrib><creatorcontrib>Winiarz, Aleksandra</creatorcontrib><creatorcontrib>Duenweg, Savannah R.</creatorcontrib><creatorcontrib>Kyereme, Fitzgerald</creatorcontrib><creatorcontrib>Connelly, Jennifer</creatorcontrib><creatorcontrib>Coss, Dylan</creatorcontrib><creatorcontrib>Krucoff, Max</creatorcontrib><creatorcontrib>Banerjee, Anjishnu</creatorcontrib><creatorcontrib>LaViolette, Peter S.</creatorcontrib><collection>SpringerOpen</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Neurosciences Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of neuro-oncology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bobholz, Samuel A.</au><au>Hoefs, Alisha</au><au>Hamburger, Jordyn</au><au>Lowman, Allison K.</au><au>Winiarz, Aleksandra</au><au>Duenweg, Savannah R.</au><au>Kyereme, Fitzgerald</au><au>Connelly, Jennifer</au><au>Coss, Dylan</au><au>Krucoff, Max</au><au>Banerjee, Anjishnu</au><au>LaViolette, Peter S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Radio-pathomic maps of glioblastoma identify phenotypes of non-enhancing tumor infiltration associated with bevacizumab treatment response</atitle><jtitle>Journal of neuro-oncology</jtitle><stitle>J Neurooncol</stitle><addtitle>J Neurooncol</addtitle><date>2024-04-01</date><risdate>2024</risdate><volume>167</volume><issue>2</issue><spage>233</spage><epage>241</epage><pages>233-241</pages><issn>0167-594X</issn><issn>1573-7373</issn><eissn>1573-7373</eissn><abstract>Background
Autopsy-based radio-pathomic maps of glioma pathology have shown substantial promise inidentifying areas of non-enhancing tumor presence, which may be able to differentiate subsets of patients that respond favorably to treatments such as bevacizumab that have shown mixed efficacy evidence. We tested the hypthesis that phenotypes of non-enhancing tumor fronts can distinguish between glioblastoma patients that will respond favorably to bevacizumab and will visually capture treatment response.
Methods
T1, T1C, FLAIR, and ADC images were used to generate radio-pathomic maps of tumor characteristics for 79 pre-treatment patients with a primary GBM or high-grade IDH1-mutant astrocytoma for this study. Novel phenotyping (hypercellular, hypocellular, hybrid, or well-circumscribed front) of the non-enhancing tumor front was performed on each case. Kaplan Meier analyses were then used to assess differences in survival and bevacizumab efficacy between phenotypes. Phenotype compartment segmentations generated longitudinally for a subset of 26 patients over the course of bevacizumab treatment, where a mixed effect model was used to detect longitudinal changes.
Results
Well-Circumscribed patients showed significant/trending increases in survival compared to Hypercellular Front (HR = 2.0,
p
= 0.05), Hypocellular Front (HR = 2.02,
p
= 0.03), and Hybrid Front tumors (HR = 1.75,
p
= 0.09). Only patients with hypocellular or hybrid fronts showed significant survival benefits from bevacizumab treatment (HR = 2.35,
p
= 0.02; and HR = 2.45,
p
= 0.03, respectively). Hypocellular volumes decreased by an average 50.52 mm
3
per day of bevacizumab treatment (
p
= 0.002).
Conclusion
Patients with a hypocellular tumor front identified by radio-pathomic maps showed improved treatment efficacy when treated with bevacizumab, and reducing hypocellular volumes over the course of treatment may indicate treatment response.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>38372901</pmid><doi>10.1007/s11060-024-04593-7</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-9602-6891</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Angiogenesis Inhibitors - therapeutic use Antibodies, Monoclonal, Humanized - therapeutic use Astrocytoma Autopsy Bevacizumab Bevacizumab - therapeutic use Brain Neoplasms - drug therapy Brain Neoplasms - genetics Brain tumors Glioblastoma Glioblastoma - drug therapy Glioblastoma - genetics Glioma Humans Magnetic Resonance Imaging - methods Medicine Medicine & Public Health Metastases Neoplasm Recurrence, Local - pathology Neurology Oncology Phenotypes Phenotyping Survival |
title | Radio-pathomic maps of glioblastoma identify phenotypes of non-enhancing tumor infiltration associated with bevacizumab treatment response |
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