Reappraisal of the prognostic significance of mitotic rate supports its reincorporation into the melanoma staging system
Background Mitotic rate is a strong, independent prognostic factor in patients with melanoma. However, incorporating it into the melanoma staging system has proved challenging. Methods The prognostic impact of mitotic rate was assessed in a melanoma cohort comprising 5050 patients from 2 geographica...
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| Veröffentlicht in: | Cancer 2020-11, Vol.126 (21), p.4717-4725 |
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| creator | Kashani‐Sabet, Mohammed Miller, James R. Lo, Serigne Nosrati, Mehdi Stretch, Jonathan R. Shannon, Kerwin F. Spillane, Andrew J. Saw, Robyn P. M. Cleaver, James E. Kim, Kevin B. Leong, Stanley P. Thompson, John F. Scolyer, Richard A. |
| description | Background
Mitotic rate is a strong, independent prognostic factor in patients with melanoma. However, incorporating it into the melanoma staging system has proved challenging.
Methods
The prognostic impact of mitotic rate was assessed in a melanoma cohort comprising 5050 patients from 2 geographically distinct populations. Computer‐generated cut points for mitotic rate were constructed to determine its impact on melanoma‐associated survival using Kaplan‐Meier and multivariate regression analyses. The impact of mitotic rate also was assessed in randomly split training and validation sets.
Results
Mitotic rate had a nonlinear impact on survival, as evidenced by unequally spaced cut points. An index incorporating these cut points that was constructed from one population produced significantly more accurate predictions of survival in the other population than using the entire scale of mitotic rate. An index constructed from the combined cohort was found to be independently predictive of survival, with an impact comparable to that of ulceration. Optimal high‐versus‐low cut points for mitotic rate were generated separately for each T category ( |
| doi_str_mv | 10.1002/cncr.33088 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2432859532</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2449267528</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3938-86b9814c20293a6d3ccfab47a40378299826d1643506496fba8a3585c4552983</originalsourceid><addsrcrecordid>eNp9kctKAzEUhoMotlY3PoAE3IgwmsllJllK8QaiIF24G9I0U1NmkjHJoH17M2114cJFCDn5-Djn_ACc5ugqRwhfK6v8FSGI8z0wzpEoM5RTvA_GCCGeMUreRuAohFV6lpiRQzAiuOSIFuUYfL1q2XVemiAb6GoY3zXsvFtaF6JRMJilNbVR0io9fLcmuqHuZdQw9F3nfAzQpOO1scr5VJDROAuNjW5ja3UjrWslDFEujV3CsA5Rt8fgoJZN0Ce7ewJmd7ez6UP29HL_OL15yhQRhGe8mAueU4URFkQWC6JULee0lBSRkmMhOC4WeUEJQwUVRT2XXBLGmaKMYcHJBFxstWmoj16HWLUmKN2knrTrQ4UpwZwJRnBCz_-gK9d7m5pLFBW4KBkehJdbSnkXgtd11XnTSr-uclQNcVRDHNUmjgSf7ZT9vNWLX_Rn_wnIt8CnafT6H1U1fZ6-bqXfieSV8w</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2449267528</pqid></control><display><type>article</type><title>Reappraisal of the prognostic significance of mitotic rate supports its reincorporation into the melanoma staging system</title><source>Wiley Online Library Free Content</source><source>Access via Wiley Online Library</source><source>EZB-FREE-00999 freely available EZB journals</source><source>Alma/SFX Local Collection</source><creator>Kashani‐Sabet, Mohammed ; Miller, James R. ; Lo, Serigne ; Nosrati, Mehdi ; Stretch, Jonathan R. ; Shannon, Kerwin F. ; Spillane, Andrew J. ; Saw, Robyn P. M. ; Cleaver, James E. ; Kim, Kevin B. ; Leong, Stanley P. ; Thompson, John F. ; Scolyer, Richard A.</creator><creatorcontrib>Kashani‐Sabet, Mohammed ; Miller, James R. ; Lo, Serigne ; Nosrati, Mehdi ; Stretch, Jonathan R. ; Shannon, Kerwin F. ; Spillane, Andrew J. ; Saw, Robyn P. M. ; Cleaver, James E. ; Kim, Kevin B. ; Leong, Stanley P. ; Thompson, John F. ; Scolyer, Richard A.</creatorcontrib><description>Background
Mitotic rate is a strong, independent prognostic factor in patients with melanoma. However, incorporating it into the melanoma staging system has proved challenging.
Methods
The prognostic impact of mitotic rate was assessed in a melanoma cohort comprising 5050 patients from 2 geographically distinct populations. Computer‐generated cut points for mitotic rate were constructed to determine its impact on melanoma‐associated survival using Kaplan‐Meier and multivariate regression analyses. The impact of mitotic rate also was assessed in randomly split training and validation sets.
Results
Mitotic rate had a nonlinear impact on survival, as evidenced by unequally spaced cut points. An index incorporating these cut points that was constructed from one population produced significantly more accurate predictions of survival in the other population than using the entire scale of mitotic rate. An index constructed from the combined cohort was found to be independently predictive of survival, with an impact comparable to that of ulceration. Optimal high‐versus‐low cut points for mitotic rate were generated separately for each T category (<2 mitoses/mm2 vs ≥2 mitoses/mm2 for T1 melanoma, <4 mitoses/mm2 vs ≥4 mitoses/mm2 for T2 melanoma, <6 mitoses/mm2 vs ≥6/mitoses/mm2 for T3 melanoma, and <7 mitoses/mm2 vs ≥7 mitoses/mm2 for T4 melanoma). Using Kaplan‐Meier analysis, elevated mitotic rate was found to have an impact on survival comparable to that of ulceration within each T category. Application of the index for mitotic rate that was constructed from the training data set demonstrated an independent impact in the validation data set, with a significance similar to that of ulceration.
Conclusions
The results of the current study demonstrated the comparable prognostic impact of mitotic rate and ulceration, providing support for its reincorporation into the T category.
The identification of computer‐generated, optimal high‐risk versus low‐risk cut points for mitotic rate, separately within each T category, demonstrates a prognostic significance that is similar to that of ulceration in the prediction of melanoma‐associated survival. The results of the current study also indicate that mitotic rate has an overall prognostic impact on survival similar to that of ulceration, thereby justifying further its incorporation into the T category of the melanoma staging system, resulting in improved predictive accuracy for individual patients.</description><identifier>ISSN: 0008-543X</identifier><identifier>EISSN: 1097-0142</identifier><identifier>DOI: 10.1002/cncr.33088</identifier><identifier>PMID: 32780467</identifier><language>eng</language><publisher>United States: Wiley Subscription Services, Inc</publisher><subject>Datasets ; Impact analysis ; Melanoma ; Mitosis ; mitotic rate ; Oncology ; prognostic modeling ; Regression analysis ; staging ; Survival ; Training</subject><ispartof>Cancer, 2020-11, Vol.126 (21), p.4717-4725</ispartof><rights>2020 American Cancer Society</rights><rights>2020 American Cancer Society.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3938-86b9814c20293a6d3ccfab47a40378299826d1643506496fba8a3585c4552983</citedby><cites>FETCH-LOGICAL-c3938-86b9814c20293a6d3ccfab47a40378299826d1643506496fba8a3585c4552983</cites><orcidid>0000-0001-5092-5544 ; 0000-0002-8354-434X ; 0000-0002-2556-2005 ; 0000-0002-8991-0013 ; 0000-0002-3354-806X ; 0000-0001-5265-0011 ; 0000-0001-8538-3132</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fcncr.33088$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fcncr.33088$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,1433,27924,27925,45574,45575,46409,46833</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32780467$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kashani‐Sabet, Mohammed</creatorcontrib><creatorcontrib>Miller, James R.</creatorcontrib><creatorcontrib>Lo, Serigne</creatorcontrib><creatorcontrib>Nosrati, Mehdi</creatorcontrib><creatorcontrib>Stretch, Jonathan R.</creatorcontrib><creatorcontrib>Shannon, Kerwin F.</creatorcontrib><creatorcontrib>Spillane, Andrew J.</creatorcontrib><creatorcontrib>Saw, Robyn P. M.</creatorcontrib><creatorcontrib>Cleaver, James E.</creatorcontrib><creatorcontrib>Kim, Kevin B.</creatorcontrib><creatorcontrib>Leong, Stanley P.</creatorcontrib><creatorcontrib>Thompson, John F.</creatorcontrib><creatorcontrib>Scolyer, Richard A.</creatorcontrib><title>Reappraisal of the prognostic significance of mitotic rate supports its reincorporation into the melanoma staging system</title><title>Cancer</title><addtitle>Cancer</addtitle><description>Background
Mitotic rate is a strong, independent prognostic factor in patients with melanoma. However, incorporating it into the melanoma staging system has proved challenging.
Methods
The prognostic impact of mitotic rate was assessed in a melanoma cohort comprising 5050 patients from 2 geographically distinct populations. Computer‐generated cut points for mitotic rate were constructed to determine its impact on melanoma‐associated survival using Kaplan‐Meier and multivariate regression analyses. The impact of mitotic rate also was assessed in randomly split training and validation sets.
Results
Mitotic rate had a nonlinear impact on survival, as evidenced by unequally spaced cut points. An index incorporating these cut points that was constructed from one population produced significantly more accurate predictions of survival in the other population than using the entire scale of mitotic rate. An index constructed from the combined cohort was found to be independently predictive of survival, with an impact comparable to that of ulceration. Optimal high‐versus‐low cut points for mitotic rate were generated separately for each T category (<2 mitoses/mm2 vs ≥2 mitoses/mm2 for T1 melanoma, <4 mitoses/mm2 vs ≥4 mitoses/mm2 for T2 melanoma, <6 mitoses/mm2 vs ≥6/mitoses/mm2 for T3 melanoma, and <7 mitoses/mm2 vs ≥7 mitoses/mm2 for T4 melanoma). Using Kaplan‐Meier analysis, elevated mitotic rate was found to have an impact on survival comparable to that of ulceration within each T category. Application of the index for mitotic rate that was constructed from the training data set demonstrated an independent impact in the validation data set, with a significance similar to that of ulceration.
Conclusions
The results of the current study demonstrated the comparable prognostic impact of mitotic rate and ulceration, providing support for its reincorporation into the T category.
The identification of computer‐generated, optimal high‐risk versus low‐risk cut points for mitotic rate, separately within each T category, demonstrates a prognostic significance that is similar to that of ulceration in the prediction of melanoma‐associated survival. The results of the current study also indicate that mitotic rate has an overall prognostic impact on survival similar to that of ulceration, thereby justifying further its incorporation into the T category of the melanoma staging system, resulting in improved predictive accuracy for individual patients.</description><subject>Datasets</subject><subject>Impact analysis</subject><subject>Melanoma</subject><subject>Mitosis</subject><subject>mitotic rate</subject><subject>Oncology</subject><subject>prognostic modeling</subject><subject>Regression analysis</subject><subject>staging</subject><subject>Survival</subject><subject>Training</subject><issn>0008-543X</issn><issn>1097-0142</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp9kctKAzEUhoMotlY3PoAE3IgwmsllJllK8QaiIF24G9I0U1NmkjHJoH17M2114cJFCDn5-Djn_ACc5ugqRwhfK6v8FSGI8z0wzpEoM5RTvA_GCCGeMUreRuAohFV6lpiRQzAiuOSIFuUYfL1q2XVemiAb6GoY3zXsvFtaF6JRMJilNbVR0io9fLcmuqHuZdQw9F3nfAzQpOO1scr5VJDROAuNjW5ja3UjrWslDFEujV3CsA5Rt8fgoJZN0Ce7ewJmd7ez6UP29HL_OL15yhQRhGe8mAueU4URFkQWC6JULee0lBSRkmMhOC4WeUEJQwUVRT2XXBLGmaKMYcHJBFxstWmoj16HWLUmKN2knrTrQ4UpwZwJRnBCz_-gK9d7m5pLFBW4KBkehJdbSnkXgtd11XnTSr-uclQNcVRDHNUmjgSf7ZT9vNWLX_Rn_wnIt8CnafT6H1U1fZ6-bqXfieSV8w</recordid><startdate>20201101</startdate><enddate>20201101</enddate><creator>Kashani‐Sabet, Mohammed</creator><creator>Miller, James R.</creator><creator>Lo, Serigne</creator><creator>Nosrati, Mehdi</creator><creator>Stretch, Jonathan R.</creator><creator>Shannon, Kerwin F.</creator><creator>Spillane, Andrew J.</creator><creator>Saw, Robyn P. M.</creator><creator>Cleaver, James E.</creator><creator>Kim, Kevin B.</creator><creator>Leong, Stanley P.</creator><creator>Thompson, John F.</creator><creator>Scolyer, Richard A.</creator><general>Wiley Subscription Services, Inc</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TO</scope><scope>7U7</scope><scope>C1K</scope><scope>H94</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-5092-5544</orcidid><orcidid>https://orcid.org/0000-0002-8354-434X</orcidid><orcidid>https://orcid.org/0000-0002-2556-2005</orcidid><orcidid>https://orcid.org/0000-0002-8991-0013</orcidid><orcidid>https://orcid.org/0000-0002-3354-806X</orcidid><orcidid>https://orcid.org/0000-0001-5265-0011</orcidid><orcidid>https://orcid.org/0000-0001-8538-3132</orcidid></search><sort><creationdate>20201101</creationdate><title>Reappraisal of the prognostic significance of mitotic rate supports its reincorporation into the melanoma staging system</title><author>Kashani‐Sabet, Mohammed ; Miller, James R. ; Lo, Serigne ; Nosrati, Mehdi ; Stretch, Jonathan R. ; Shannon, Kerwin F. ; Spillane, Andrew J. ; Saw, Robyn P. M. ; Cleaver, James E. ; Kim, Kevin B. ; Leong, Stanley P. ; Thompson, John F. ; Scolyer, Richard A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3938-86b9814c20293a6d3ccfab47a40378299826d1643506496fba8a3585c4552983</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Datasets</topic><topic>Impact analysis</topic><topic>Melanoma</topic><topic>Mitosis</topic><topic>mitotic rate</topic><topic>Oncology</topic><topic>prognostic modeling</topic><topic>Regression analysis</topic><topic>staging</topic><topic>Survival</topic><topic>Training</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kashani‐Sabet, Mohammed</creatorcontrib><creatorcontrib>Miller, James R.</creatorcontrib><creatorcontrib>Lo, Serigne</creatorcontrib><creatorcontrib>Nosrati, Mehdi</creatorcontrib><creatorcontrib>Stretch, Jonathan R.</creatorcontrib><creatorcontrib>Shannon, Kerwin F.</creatorcontrib><creatorcontrib>Spillane, Andrew J.</creatorcontrib><creatorcontrib>Saw, Robyn P. M.</creatorcontrib><creatorcontrib>Cleaver, James E.</creatorcontrib><creatorcontrib>Kim, Kevin B.</creatorcontrib><creatorcontrib>Leong, Stanley P.</creatorcontrib><creatorcontrib>Thompson, John F.</creatorcontrib><creatorcontrib>Scolyer, Richard A.</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><jtitle>Cancer</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kashani‐Sabet, Mohammed</au><au>Miller, James R.</au><au>Lo, Serigne</au><au>Nosrati, Mehdi</au><au>Stretch, Jonathan R.</au><au>Shannon, Kerwin F.</au><au>Spillane, Andrew J.</au><au>Saw, Robyn P. M.</au><au>Cleaver, James E.</au><au>Kim, Kevin B.</au><au>Leong, Stanley P.</au><au>Thompson, John F.</au><au>Scolyer, Richard A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Reappraisal of the prognostic significance of mitotic rate supports its reincorporation into the melanoma staging system</atitle><jtitle>Cancer</jtitle><addtitle>Cancer</addtitle><date>2020-11-01</date><risdate>2020</risdate><volume>126</volume><issue>21</issue><spage>4717</spage><epage>4725</epage><pages>4717-4725</pages><issn>0008-543X</issn><eissn>1097-0142</eissn><abstract>Background
Mitotic rate is a strong, independent prognostic factor in patients with melanoma. However, incorporating it into the melanoma staging system has proved challenging.
Methods
The prognostic impact of mitotic rate was assessed in a melanoma cohort comprising 5050 patients from 2 geographically distinct populations. Computer‐generated cut points for mitotic rate were constructed to determine its impact on melanoma‐associated survival using Kaplan‐Meier and multivariate regression analyses. The impact of mitotic rate also was assessed in randomly split training and validation sets.
Results
Mitotic rate had a nonlinear impact on survival, as evidenced by unequally spaced cut points. An index incorporating these cut points that was constructed from one population produced significantly more accurate predictions of survival in the other population than using the entire scale of mitotic rate. An index constructed from the combined cohort was found to be independently predictive of survival, with an impact comparable to that of ulceration. Optimal high‐versus‐low cut points for mitotic rate were generated separately for each T category (<2 mitoses/mm2 vs ≥2 mitoses/mm2 for T1 melanoma, <4 mitoses/mm2 vs ≥4 mitoses/mm2 for T2 melanoma, <6 mitoses/mm2 vs ≥6/mitoses/mm2 for T3 melanoma, and <7 mitoses/mm2 vs ≥7 mitoses/mm2 for T4 melanoma). Using Kaplan‐Meier analysis, elevated mitotic rate was found to have an impact on survival comparable to that of ulceration within each T category. Application of the index for mitotic rate that was constructed from the training data set demonstrated an independent impact in the validation data set, with a significance similar to that of ulceration.
Conclusions
The results of the current study demonstrated the comparable prognostic impact of mitotic rate and ulceration, providing support for its reincorporation into the T category.
The identification of computer‐generated, optimal high‐risk versus low‐risk cut points for mitotic rate, separately within each T category, demonstrates a prognostic significance that is similar to that of ulceration in the prediction of melanoma‐associated survival. The results of the current study also indicate that mitotic rate has an overall prognostic impact on survival similar to that of ulceration, thereby justifying further its incorporation into the T category of the melanoma staging system, resulting in improved predictive accuracy for individual patients.</abstract><cop>United States</cop><pub>Wiley Subscription Services, Inc</pub><pmid>32780467</pmid><doi>10.1002/cncr.33088</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0001-5092-5544</orcidid><orcidid>https://orcid.org/0000-0002-8354-434X</orcidid><orcidid>https://orcid.org/0000-0002-2556-2005</orcidid><orcidid>https://orcid.org/0000-0002-8991-0013</orcidid><orcidid>https://orcid.org/0000-0002-3354-806X</orcidid><orcidid>https://orcid.org/0000-0001-5265-0011</orcidid><orcidid>https://orcid.org/0000-0001-8538-3132</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Datasets Impact analysis Melanoma Mitosis mitotic rate Oncology prognostic modeling Regression analysis staging Survival Training |
| title | Reappraisal of the prognostic significance of mitotic rate supports its reincorporation into the melanoma staging system |
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