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Prognostic value and computer image analysis of p53 in mantle cell lymphoma
P53 prognostic cut-off values differ between studies of mantle cell lymphoma (MCL), and its immunohistochemistry (IHC) interpretation is still based on semiquantitative estimation, which might be inaccurate. This study aimed to investigate the optimal cut-off value for p53 in predicting prognosis of...
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| Published in: | Annals of hematology 2022-10, Vol.101 (10), p.2271-2279 |
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| creator | Zhang, Yue-Hua Gao, Li-Min Xiang, Xiao-Yu Zhang, Wen-Yan Liu, Wei-Ping |
| description | P53 prognostic cut-off values differ between studies of mantle cell lymphoma (MCL), and its immunohistochemistry (IHC) interpretation is still based on semiquantitative estimation, which might be inaccurate. This study aimed to investigate the optimal cut-off value for p53 in predicting prognosis of patients with MCL and the possible use of computer image analysis to identify the positive rate of p53. We calculated p53 positive rate using QuPath software and compared it with the data obtained by manual counting and semiquantitative estimation. Survival curves were generated by using the Youden index and the Kaplan–Meier method. The chi-squared (
χ
2) test was used to compare MIPI, Ann Arbor stage, and cell morphology with p53. Spearman rank correlation test and Bland–Altman analysis were used to compare manual counting, computer image analysis and semiquantitative estimation, as well as the consistency between different observers. The optimal cut-off value of p53 for predicting prognosis was 20% in MCL patients. Patients with p53 ≥ 20% had a significantly worse overall survival (OS) than those with p53 |
| doi_str_mv | 10.1007/s00277-022-04922-8 |
| format | article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2697672057</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2712090373</sourcerecordid><originalsourceid>FETCH-LOGICAL-c396t-b82f35adf6afad88a2d5100d2968470fd312cd2d0abf1b0d0606df6b27cb8a5e3</originalsourceid><addsrcrecordid>eNp9kM1KxDAUhYMoOI6-gKuAGzfVm6RN0qUM_uGALnQd0iYZO7RNTVph3t6MFQQXZpFww3cO9xyEzglcEQBxHQGoEBlQmkFeplseoAXJWRoLmR-iBZSszIp0jtFJjFsAQmVOF-jpJfhN7-PY1PhTt5PFuje49t0wjTbgptOb_Zdud7GJ2Ds8FAw3Pe50P7YW17Ztcbvrhnff6VN05HQb7dnPu0Rvd7evq4ds_Xz_uLpZZzUr-ZhVkjpWaOO4dtpIqakpUghDSy5zAc4wQmtDDejKkQoMcOAJrqioK6kLy5bocvYdgv-YbBxV18T9Jrq3foqK8lJwQaEQCb34g279FFKcRAlCoQQmWKLoTNXBxxisU0NIycNOEVD7ftXcr0r9qu9-lUwiNotigvuNDb_W_6i-ABwhfTw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2712090373</pqid></control><display><type>article</type><title>Prognostic value and computer image analysis of p53 in mantle cell lymphoma</title><source>Springer Nature</source><creator>Zhang, Yue-Hua ; Gao, Li-Min ; Xiang, Xiao-Yu ; Zhang, Wen-Yan ; Liu, Wei-Ping</creator><creatorcontrib>Zhang, Yue-Hua ; Gao, Li-Min ; Xiang, Xiao-Yu ; Zhang, Wen-Yan ; Liu, Wei-Ping</creatorcontrib><description>P53 prognostic cut-off values differ between studies of mantle cell lymphoma (MCL), and its immunohistochemistry (IHC) interpretation is still based on semiquantitative estimation, which might be inaccurate. This study aimed to investigate the optimal cut-off value for p53 in predicting prognosis of patients with MCL and the possible use of computer image analysis to identify the positive rate of p53. We calculated p53 positive rate using QuPath software and compared it with the data obtained by manual counting and semiquantitative estimation. Survival curves were generated by using the Youden index and the Kaplan–Meier method. The chi-squared (
χ
2) test was used to compare MIPI, Ann Arbor stage, and cell morphology with p53. Spearman rank correlation test and Bland–Altman analysis were used to compare manual counting, computer image analysis and semiquantitative estimation, as well as the consistency between different observers. The optimal cut-off value of p53 for predicting prognosis was 20% in MCL patients. Patients with p53 ≥ 20% had a significantly worse overall survival (OS) than those with p53 < 20% (
P
< 0.0001). MCL patients with MIPI intermediate to high risk, Ann Arbor stage III–IV, and blastoid/pleomorphic variant cell morphology had more p53 ≥ 20%. There was a strong correlation between computer image analysis and manual counting of p53 from the same areas in MCL tissues (Spearman’s rho = 0.966,
P
< 0.0001). The results of computer analysis are completely consistent between observers, and computer image analysis of Ki-67 can predict the prognosis of MCL patients. MCL patients with p53 ≥ 20% had a shorter OS and a tendency for MIPI intermediate to high risk, Ann Arbor stage III–IV, and blastoid/pleomorphic variant. Computer image analysis could determine the actual positive rate of p53 and Ki-67 and is a more attractive alternative than semiquantitative estimation in MCL.
Graphical abstract</description><identifier>ISSN: 0939-5555</identifier><identifier>EISSN: 1432-0584</identifier><identifier>DOI: 10.1007/s00277-022-04922-8</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Hematology ; Lymphoma ; Medical prognosis ; Medicine ; Medicine & Public Health ; Morphology ; Oncology ; Original Article</subject><ispartof>Annals of hematology, 2022-10, Vol.101 (10), p.2271-2279</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c396t-b82f35adf6afad88a2d5100d2968470fd312cd2d0abf1b0d0606df6b27cb8a5e3</citedby><cites>FETCH-LOGICAL-c396t-b82f35adf6afad88a2d5100d2968470fd312cd2d0abf1b0d0606df6b27cb8a5e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Zhang, Yue-Hua</creatorcontrib><creatorcontrib>Gao, Li-Min</creatorcontrib><creatorcontrib>Xiang, Xiao-Yu</creatorcontrib><creatorcontrib>Zhang, Wen-Yan</creatorcontrib><creatorcontrib>Liu, Wei-Ping</creatorcontrib><title>Prognostic value and computer image analysis of p53 in mantle cell lymphoma</title><title>Annals of hematology</title><addtitle>Ann Hematol</addtitle><description>P53 prognostic cut-off values differ between studies of mantle cell lymphoma (MCL), and its immunohistochemistry (IHC) interpretation is still based on semiquantitative estimation, which might be inaccurate. This study aimed to investigate the optimal cut-off value for p53 in predicting prognosis of patients with MCL and the possible use of computer image analysis to identify the positive rate of p53. We calculated p53 positive rate using QuPath software and compared it with the data obtained by manual counting and semiquantitative estimation. Survival curves were generated by using the Youden index and the Kaplan–Meier method. The chi-squared (
χ
2) test was used to compare MIPI, Ann Arbor stage, and cell morphology with p53. Spearman rank correlation test and Bland–Altman analysis were used to compare manual counting, computer image analysis and semiquantitative estimation, as well as the consistency between different observers. The optimal cut-off value of p53 for predicting prognosis was 20% in MCL patients. Patients with p53 ≥ 20% had a significantly worse overall survival (OS) than those with p53 < 20% (
P
< 0.0001). MCL patients with MIPI intermediate to high risk, Ann Arbor stage III–IV, and blastoid/pleomorphic variant cell morphology had more p53 ≥ 20%. There was a strong correlation between computer image analysis and manual counting of p53 from the same areas in MCL tissues (Spearman’s rho = 0.966,
P
< 0.0001). The results of computer analysis are completely consistent between observers, and computer image analysis of Ki-67 can predict the prognosis of MCL patients. MCL patients with p53 ≥ 20% had a shorter OS and a tendency for MIPI intermediate to high risk, Ann Arbor stage III–IV, and blastoid/pleomorphic variant. Computer image analysis could determine the actual positive rate of p53 and Ki-67 and is a more attractive alternative than semiquantitative estimation in MCL.
Graphical abstract</description><subject>Hematology</subject><subject>Lymphoma</subject><subject>Medical prognosis</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Morphology</subject><subject>Oncology</subject><subject>Original Article</subject><issn>0939-5555</issn><issn>1432-0584</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNp9kM1KxDAUhYMoOI6-gKuAGzfVm6RN0qUM_uGALnQd0iYZO7RNTVph3t6MFQQXZpFww3cO9xyEzglcEQBxHQGoEBlQmkFeplseoAXJWRoLmR-iBZSszIp0jtFJjFsAQmVOF-jpJfhN7-PY1PhTt5PFuje49t0wjTbgptOb_Zdud7GJ2Ds8FAw3Pe50P7YW17Ztcbvrhnff6VN05HQb7dnPu0Rvd7evq4ds_Xz_uLpZZzUr-ZhVkjpWaOO4dtpIqakpUghDSy5zAc4wQmtDDejKkQoMcOAJrqioK6kLy5bocvYdgv-YbBxV18T9Jrq3foqK8lJwQaEQCb34g279FFKcRAlCoQQmWKLoTNXBxxisU0NIycNOEVD7ftXcr0r9qu9-lUwiNotigvuNDb_W_6i-ABwhfTw</recordid><startdate>20221001</startdate><enddate>20221001</enddate><creator>Zhang, Yue-Hua</creator><creator>Gao, Li-Min</creator><creator>Xiang, Xiao-Yu</creator><creator>Zhang, Wen-Yan</creator><creator>Liu, Wei-Ping</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1P</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope></search><sort><creationdate>20221001</creationdate><title>Prognostic value and computer image analysis of p53 in mantle cell lymphoma</title><author>Zhang, Yue-Hua ; Gao, Li-Min ; Xiang, Xiao-Yu ; Zhang, Wen-Yan ; Liu, Wei-Ping</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c396t-b82f35adf6afad88a2d5100d2968470fd312cd2d0abf1b0d0606df6b27cb8a5e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Hematology</topic><topic>Lymphoma</topic><topic>Medical prognosis</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Morphology</topic><topic>Oncology</topic><topic>Original Article</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Yue-Hua</creatorcontrib><creatorcontrib>Gao, Li-Min</creatorcontrib><creatorcontrib>Xiang, Xiao-Yu</creatorcontrib><creatorcontrib>Zhang, Wen-Yan</creatorcontrib><creatorcontrib>Liu, Wei-Ping</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Proquest Nursing & Allied Health Source</collection><collection>Proquest Health and Medical Complete</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><jtitle>Annals of hematology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Yue-Hua</au><au>Gao, Li-Min</au><au>Xiang, Xiao-Yu</au><au>Zhang, Wen-Yan</au><au>Liu, Wei-Ping</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prognostic value and computer image analysis of p53 in mantle cell lymphoma</atitle><jtitle>Annals of hematology</jtitle><stitle>Ann Hematol</stitle><date>2022-10-01</date><risdate>2022</risdate><volume>101</volume><issue>10</issue><spage>2271</spage><epage>2279</epage><pages>2271-2279</pages><issn>0939-5555</issn><eissn>1432-0584</eissn><abstract>P53 prognostic cut-off values differ between studies of mantle cell lymphoma (MCL), and its immunohistochemistry (IHC) interpretation is still based on semiquantitative estimation, which might be inaccurate. This study aimed to investigate the optimal cut-off value for p53 in predicting prognosis of patients with MCL and the possible use of computer image analysis to identify the positive rate of p53. We calculated p53 positive rate using QuPath software and compared it with the data obtained by manual counting and semiquantitative estimation. Survival curves were generated by using the Youden index and the Kaplan–Meier method. The chi-squared (
χ
2) test was used to compare MIPI, Ann Arbor stage, and cell morphology with p53. Spearman rank correlation test and Bland–Altman analysis were used to compare manual counting, computer image analysis and semiquantitative estimation, as well as the consistency between different observers. The optimal cut-off value of p53 for predicting prognosis was 20% in MCL patients. Patients with p53 ≥ 20% had a significantly worse overall survival (OS) than those with p53 < 20% (
P
< 0.0001). MCL patients with MIPI intermediate to high risk, Ann Arbor stage III–IV, and blastoid/pleomorphic variant cell morphology had more p53 ≥ 20%. There was a strong correlation between computer image analysis and manual counting of p53 from the same areas in MCL tissues (Spearman’s rho = 0.966,
P
< 0.0001). The results of computer analysis are completely consistent between observers, and computer image analysis of Ki-67 can predict the prognosis of MCL patients. MCL patients with p53 ≥ 20% had a shorter OS and a tendency for MIPI intermediate to high risk, Ann Arbor stage III–IV, and blastoid/pleomorphic variant. Computer image analysis could determine the actual positive rate of p53 and Ki-67 and is a more attractive alternative than semiquantitative estimation in MCL.
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| subjects | Hematology Lymphoma Medical prognosis Medicine Medicine & Public Health Morphology Oncology Original Article |
| title | Prognostic value and computer image analysis of p53 in mantle cell lymphoma |
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