Metrics of pN-staging in oral squamous cell carcinoma: An analysis of 1,905 patients
We aimed to compare the predictive performance of pN-categories in oral squamous cell carcinoma (OSCC) encompassing the most recent 8th edition (TNM8), its predecessor (TNM7), and a newly proposed algorithm (pN-N+), which classifies patients according to the number of positive lymph nodes and extran...
Gespeichert in:
Veröffentlicht in: | European journal of cancer (1990) 2021-06, Vol.150, p.33-41 |
---|---|
Hauptverfasser: | , , , , , , , , , , , , , , , , , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 41 |
---|---|
container_issue | |
container_start_page | 33 |
container_title | European journal of cancer (1990) |
container_volume | 150 |
creator | Mirian, Christian Gerds, Thomas A. Pedersen, Maria M. de Ridder, Mischa Balm, Alfons Mattavelli, Davide Piazza, Cesare Jensen, Lasse R. Balasubramanian, Deepak Subramaniam, Narayana Dokhe, Yogesh Thankappan, Krishnakumar Iyer, Subramania Karam, Sana D. Wiegand, Susanne Feeley, Linda Milross, Chris Gao, Kan Palme, Carsten E. Low, Tsu-Hui (Hubert) Gupta, Ruta Freudlsperger, Christian Moratin, Julius Sheahan, Patrick Clark, Jonathan Ovesen, Therese |
description | We aimed to compare the predictive performance of pN-categories in oral squamous cell carcinoma (OSCC) encompassing the most recent 8th edition (TNM8), its predecessor (TNM7), and a newly proposed algorithm (pN-N+), which classifies patients according to the number of positive lymph nodes and extranodal extension.
Consecutive, primary OSCC patients from seven previously published cohorts were included and classified according to the three pN-classifications: TNM7, TNM8 and pN-N+. Overall survival probabilities were summarised with the Kaplan–Meier method. We added each of the three metrics to a Cox regression adjusted for pT-category, lymph nodal yield, age, sex, radiotherapy and chemotherapy, and trained these models in one institution. We evaluated the predictive performance in the remaining six institutions and assessed the predicted 5-year risk of death using the area under the receiver operating characteristics curve (AUC) and Brier scores.
All 1,905 included patients were classified according to TNM7 and pN-N+. A subset of 1,575 patients was additionally classified according to TNM8, leading to upstaging in 27.0%. The pN-N+ ranked overall best determined by the obtained AUC and Brier scores. In contrast to pN-N+, TNM7 and TNM8 both suffered from disproportionate patient distribution across pN-categories and poor pN-categorial discrimination on overall survival.
The TNM8 pN-classification designates a larger subset to more advanced disease stages but failed to show improvement of its predictive performance compared to TNM7. The pN-categories of TNM7/8 are disproportionate and inconsistently discriminated. The pN-N+ conveyed the best measures of prognosis and should be considered in future TNM iterations.
•The TNM8 pN-classification of OSCC has not improved compared to its predecessor.•The TNM8 pN-classifications allocates more patients to advanced stages.•The pN-categories of TNM8 are disproportionate and poorly discriminates risks.•Number of pN+ and extranodal extension conveyed best measures of prognosis.•The metastatic burden should be considered in future TNM iterations. |
doi_str_mv | 10.1016/j.ejca.2021.03.019 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2544913343</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0959804921001866</els_id><sourcerecordid>2544913343</sourcerecordid><originalsourceid>FETCH-LOGICAL-c384t-97b6ab592e16250edfb8d12d0b1685af3398d3b0f3e8ebe87e760e539bd511633</originalsourceid><addsrcrecordid>eNp9kMtOwzAQRS0EouXxAyyQJbYkjOM4sRGbCvGSCmxgbTnOBDlKk9ZOkPr3JBRYsprNuVdzDyFnDGIGLLuqY6ytiRNIWAw8Bqb2yJzJXEUgRbJP5qCEiiSkakaOQqgBIJcpHJIZ51Lmgok5eXvG3jsbaFfR9UsUevPh2g_qWtp509CwGcyqGwK12DTUGm9d263MNV201LSm2Qb3HWWXCgRdm95h24cTclCZJuDpzz0m7_d3b7eP0fL14el2sYwsl2kfqbzITCFUgixLBGBZFbJkSQkFy6QwFedKlryAiqPEAmWOeQYouCpKwVjG-TG52PWufbcZMPS67gY_vhV0ItJUMc7TiUp2lPVdCB4rvfZuZfxWM9CTSF3rSaSeRGrgehQ5hs5_qodiheVf5NfcCNzsABwHfjr0OthxvMXSebS9Ljv3X_8XDdGCZQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2544913343</pqid></control><display><type>article</type><title>Metrics of pN-staging in oral squamous cell carcinoma: An analysis of 1,905 patients</title><source>Elsevier ScienceDirect Journals Complete - AutoHoldings</source><creator>Mirian, Christian ; Gerds, Thomas A. ; Pedersen, Maria M. ; de Ridder, Mischa ; Balm, Alfons ; Mattavelli, Davide ; Piazza, Cesare ; Jensen, Lasse R. ; Balasubramanian, Deepak ; Subramaniam, Narayana ; Dokhe, Yogesh ; Thankappan, Krishnakumar ; Iyer, Subramania ; Karam, Sana D. ; Wiegand, Susanne ; Feeley, Linda ; Milross, Chris ; Gao, Kan ; Palme, Carsten E. ; Low, Tsu-Hui (Hubert) ; Gupta, Ruta ; Freudlsperger, Christian ; Moratin, Julius ; Sheahan, Patrick ; Clark, Jonathan ; Ovesen, Therese</creator><creatorcontrib>Mirian, Christian ; Gerds, Thomas A. ; Pedersen, Maria M. ; de Ridder, Mischa ; Balm, Alfons ; Mattavelli, Davide ; Piazza, Cesare ; Jensen, Lasse R. ; Balasubramanian, Deepak ; Subramaniam, Narayana ; Dokhe, Yogesh ; Thankappan, Krishnakumar ; Iyer, Subramania ; Karam, Sana D. ; Wiegand, Susanne ; Feeley, Linda ; Milross, Chris ; Gao, Kan ; Palme, Carsten E. ; Low, Tsu-Hui (Hubert) ; Gupta, Ruta ; Freudlsperger, Christian ; Moratin, Julius ; Sheahan, Patrick ; Clark, Jonathan ; Ovesen, Therese</creatorcontrib><description>We aimed to compare the predictive performance of pN-categories in oral squamous cell carcinoma (OSCC) encompassing the most recent 8th edition (TNM8), its predecessor (TNM7), and a newly proposed algorithm (pN-N+), which classifies patients according to the number of positive lymph nodes and extranodal extension.
Consecutive, primary OSCC patients from seven previously published cohorts were included and classified according to the three pN-classifications: TNM7, TNM8 and pN-N+. Overall survival probabilities were summarised with the Kaplan–Meier method. We added each of the three metrics to a Cox regression adjusted for pT-category, lymph nodal yield, age, sex, radiotherapy and chemotherapy, and trained these models in one institution. We evaluated the predictive performance in the remaining six institutions and assessed the predicted 5-year risk of death using the area under the receiver operating characteristics curve (AUC) and Brier scores.
All 1,905 included patients were classified according to TNM7 and pN-N+. A subset of 1,575 patients was additionally classified according to TNM8, leading to upstaging in 27.0%. The pN-N+ ranked overall best determined by the obtained AUC and Brier scores. In contrast to pN-N+, TNM7 and TNM8 both suffered from disproportionate patient distribution across pN-categories and poor pN-categorial discrimination on overall survival.
The TNM8 pN-classification designates a larger subset to more advanced disease stages but failed to show improvement of its predictive performance compared to TNM7. The pN-categories of TNM7/8 are disproportionate and inconsistently discriminated. The pN-N+ conveyed the best measures of prognosis and should be considered in future TNM iterations.
•The TNM8 pN-classification of OSCC has not improved compared to its predecessor.•The TNM8 pN-classifications allocates more patients to advanced stages.•The pN-categories of TNM8 are disproportionate and poorly discriminates risks.•Number of pN+ and extranodal extension conveyed best measures of prognosis.•The metastatic burden should be considered in future TNM iterations.</description><identifier>ISSN: 0959-8049</identifier><identifier>EISSN: 1879-0852</identifier><identifier>DOI: 10.1016/j.ejca.2021.03.019</identifier><identifier>PMID: 33887515</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>AJCC ; Algorithms ; Categories ; Chemotherapy ; Classification ; Epidemiology ; Head and neck oncology ; Lymph nodal density ; Lymph nodal yield ; Lymph nodes ; Medical prognosis ; Oral cancer ; Oral oncology ; Oral squamous cell carcinoma ; OSCC ; Performance evaluation ; Performance prediction ; pN-staging ; Radiation therapy ; Squamous cell carcinoma ; Survival ; TNM</subject><ispartof>European journal of cancer (1990), 2021-06, Vol.150, p.33-41</ispartof><rights>2021 Elsevier Ltd</rights><rights>Copyright © 2021 Elsevier Ltd. All rights reserved.</rights><rights>Copyright Elsevier Science Ltd. Jun 2021</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c384t-97b6ab592e16250edfb8d12d0b1685af3398d3b0f3e8ebe87e760e539bd511633</citedby><cites>FETCH-LOGICAL-c384t-97b6ab592e16250edfb8d12d0b1685af3398d3b0f3e8ebe87e760e539bd511633</cites><orcidid>0000-0003-0864-7987 ; 0000-0001-8016-5013 ; 0000-0001-6931-4399 ; 0000-0002-0278-7228 ; 0000-0002-4289-0457 ; 0000-0002-9153-8951 ; 0000-0001-7023-6746 ; 0000-0001-6801-0123 ; 0000-0002-2530-3038 ; 0000-0001-5999-0422</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.ejca.2021.03.019$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,778,782,3539,27911,27912,45982</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33887515$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Mirian, Christian</creatorcontrib><creatorcontrib>Gerds, Thomas A.</creatorcontrib><creatorcontrib>Pedersen, Maria M.</creatorcontrib><creatorcontrib>de Ridder, Mischa</creatorcontrib><creatorcontrib>Balm, Alfons</creatorcontrib><creatorcontrib>Mattavelli, Davide</creatorcontrib><creatorcontrib>Piazza, Cesare</creatorcontrib><creatorcontrib>Jensen, Lasse R.</creatorcontrib><creatorcontrib>Balasubramanian, Deepak</creatorcontrib><creatorcontrib>Subramaniam, Narayana</creatorcontrib><creatorcontrib>Dokhe, Yogesh</creatorcontrib><creatorcontrib>Thankappan, Krishnakumar</creatorcontrib><creatorcontrib>Iyer, Subramania</creatorcontrib><creatorcontrib>Karam, Sana D.</creatorcontrib><creatorcontrib>Wiegand, Susanne</creatorcontrib><creatorcontrib>Feeley, Linda</creatorcontrib><creatorcontrib>Milross, Chris</creatorcontrib><creatorcontrib>Gao, Kan</creatorcontrib><creatorcontrib>Palme, Carsten E.</creatorcontrib><creatorcontrib>Low, Tsu-Hui (Hubert)</creatorcontrib><creatorcontrib>Gupta, Ruta</creatorcontrib><creatorcontrib>Freudlsperger, Christian</creatorcontrib><creatorcontrib>Moratin, Julius</creatorcontrib><creatorcontrib>Sheahan, Patrick</creatorcontrib><creatorcontrib>Clark, Jonathan</creatorcontrib><creatorcontrib>Ovesen, Therese</creatorcontrib><title>Metrics of pN-staging in oral squamous cell carcinoma: An analysis of 1,905 patients</title><title>European journal of cancer (1990)</title><addtitle>Eur J Cancer</addtitle><description>We aimed to compare the predictive performance of pN-categories in oral squamous cell carcinoma (OSCC) encompassing the most recent 8th edition (TNM8), its predecessor (TNM7), and a newly proposed algorithm (pN-N+), which classifies patients according to the number of positive lymph nodes and extranodal extension.
Consecutive, primary OSCC patients from seven previously published cohorts were included and classified according to the three pN-classifications: TNM7, TNM8 and pN-N+. Overall survival probabilities were summarised with the Kaplan–Meier method. We added each of the three metrics to a Cox regression adjusted for pT-category, lymph nodal yield, age, sex, radiotherapy and chemotherapy, and trained these models in one institution. We evaluated the predictive performance in the remaining six institutions and assessed the predicted 5-year risk of death using the area under the receiver operating characteristics curve (AUC) and Brier scores.
All 1,905 included patients were classified according to TNM7 and pN-N+. A subset of 1,575 patients was additionally classified according to TNM8, leading to upstaging in 27.0%. The pN-N+ ranked overall best determined by the obtained AUC and Brier scores. In contrast to pN-N+, TNM7 and TNM8 both suffered from disproportionate patient distribution across pN-categories and poor pN-categorial discrimination on overall survival.
The TNM8 pN-classification designates a larger subset to more advanced disease stages but failed to show improvement of its predictive performance compared to TNM7. The pN-categories of TNM7/8 are disproportionate and inconsistently discriminated. The pN-N+ conveyed the best measures of prognosis and should be considered in future TNM iterations.
•The TNM8 pN-classification of OSCC has not improved compared to its predecessor.•The TNM8 pN-classifications allocates more patients to advanced stages.•The pN-categories of TNM8 are disproportionate and poorly discriminates risks.•Number of pN+ and extranodal extension conveyed best measures of prognosis.•The metastatic burden should be considered in future TNM iterations.</description><subject>AJCC</subject><subject>Algorithms</subject><subject>Categories</subject><subject>Chemotherapy</subject><subject>Classification</subject><subject>Epidemiology</subject><subject>Head and neck oncology</subject><subject>Lymph nodal density</subject><subject>Lymph nodal yield</subject><subject>Lymph nodes</subject><subject>Medical prognosis</subject><subject>Oral cancer</subject><subject>Oral oncology</subject><subject>Oral squamous cell carcinoma</subject><subject>OSCC</subject><subject>Performance evaluation</subject><subject>Performance prediction</subject><subject>pN-staging</subject><subject>Radiation therapy</subject><subject>Squamous cell carcinoma</subject><subject>Survival</subject><subject>TNM</subject><issn>0959-8049</issn><issn>1879-0852</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp9kMtOwzAQRS0EouXxAyyQJbYkjOM4sRGbCvGSCmxgbTnOBDlKk9ZOkPr3JBRYsprNuVdzDyFnDGIGLLuqY6ytiRNIWAw8Bqb2yJzJXEUgRbJP5qCEiiSkakaOQqgBIJcpHJIZ51Lmgok5eXvG3jsbaFfR9UsUevPh2g_qWtp509CwGcyqGwK12DTUGm9d263MNV201LSm2Qb3HWWXCgRdm95h24cTclCZJuDpzz0m7_d3b7eP0fL14el2sYwsl2kfqbzITCFUgixLBGBZFbJkSQkFy6QwFedKlryAiqPEAmWOeQYouCpKwVjG-TG52PWufbcZMPS67gY_vhV0ItJUMc7TiUp2lPVdCB4rvfZuZfxWM9CTSF3rSaSeRGrgehQ5hs5_qodiheVf5NfcCNzsABwHfjr0OthxvMXSebS9Ljv3X_8XDdGCZQ</recordid><startdate>20210601</startdate><enddate>20210601</enddate><creator>Mirian, Christian</creator><creator>Gerds, Thomas A.</creator><creator>Pedersen, Maria M.</creator><creator>de Ridder, Mischa</creator><creator>Balm, Alfons</creator><creator>Mattavelli, Davide</creator><creator>Piazza, Cesare</creator><creator>Jensen, Lasse R.</creator><creator>Balasubramanian, Deepak</creator><creator>Subramaniam, Narayana</creator><creator>Dokhe, Yogesh</creator><creator>Thankappan, Krishnakumar</creator><creator>Iyer, Subramania</creator><creator>Karam, Sana D.</creator><creator>Wiegand, Susanne</creator><creator>Feeley, Linda</creator><creator>Milross, Chris</creator><creator>Gao, Kan</creator><creator>Palme, Carsten E.</creator><creator>Low, Tsu-Hui (Hubert)</creator><creator>Gupta, Ruta</creator><creator>Freudlsperger, Christian</creator><creator>Moratin, Julius</creator><creator>Sheahan, Patrick</creator><creator>Clark, Jonathan</creator><creator>Ovesen, Therese</creator><general>Elsevier Ltd</general><general>Elsevier Science Ltd</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><orcidid>https://orcid.org/0000-0003-0864-7987</orcidid><orcidid>https://orcid.org/0000-0001-8016-5013</orcidid><orcidid>https://orcid.org/0000-0001-6931-4399</orcidid><orcidid>https://orcid.org/0000-0002-0278-7228</orcidid><orcidid>https://orcid.org/0000-0002-4289-0457</orcidid><orcidid>https://orcid.org/0000-0002-9153-8951</orcidid><orcidid>https://orcid.org/0000-0001-7023-6746</orcidid><orcidid>https://orcid.org/0000-0001-6801-0123</orcidid><orcidid>https://orcid.org/0000-0002-2530-3038</orcidid><orcidid>https://orcid.org/0000-0001-5999-0422</orcidid></search><sort><creationdate>20210601</creationdate><title>Metrics of pN-staging in oral squamous cell carcinoma: An analysis of 1,905 patients</title><author>Mirian, Christian ; Gerds, Thomas A. ; Pedersen, Maria M. ; de Ridder, Mischa ; Balm, Alfons ; Mattavelli, Davide ; Piazza, Cesare ; Jensen, Lasse R. ; Balasubramanian, Deepak ; Subramaniam, Narayana ; Dokhe, Yogesh ; Thankappan, Krishnakumar ; Iyer, Subramania ; Karam, Sana D. ; Wiegand, Susanne ; Feeley, Linda ; Milross, Chris ; Gao, Kan ; Palme, Carsten E. ; Low, Tsu-Hui (Hubert) ; Gupta, Ruta ; Freudlsperger, Christian ; Moratin, Julius ; Sheahan, Patrick ; Clark, Jonathan ; Ovesen, Therese</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c384t-97b6ab592e16250edfb8d12d0b1685af3398d3b0f3e8ebe87e760e539bd511633</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>AJCC</topic><topic>Algorithms</topic><topic>Categories</topic><topic>Chemotherapy</topic><topic>Classification</topic><topic>Epidemiology</topic><topic>Head and neck oncology</topic><topic>Lymph nodal density</topic><topic>Lymph nodal yield</topic><topic>Lymph nodes</topic><topic>Medical prognosis</topic><topic>Oral cancer</topic><topic>Oral oncology</topic><topic>Oral squamous cell carcinoma</topic><topic>OSCC</topic><topic>Performance evaluation</topic><topic>Performance prediction</topic><topic>pN-staging</topic><topic>Radiation therapy</topic><topic>Squamous cell carcinoma</topic><topic>Survival</topic><topic>TNM</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mirian, Christian</creatorcontrib><creatorcontrib>Gerds, Thomas A.</creatorcontrib><creatorcontrib>Pedersen, Maria M.</creatorcontrib><creatorcontrib>de Ridder, Mischa</creatorcontrib><creatorcontrib>Balm, Alfons</creatorcontrib><creatorcontrib>Mattavelli, Davide</creatorcontrib><creatorcontrib>Piazza, Cesare</creatorcontrib><creatorcontrib>Jensen, Lasse R.</creatorcontrib><creatorcontrib>Balasubramanian, Deepak</creatorcontrib><creatorcontrib>Subramaniam, Narayana</creatorcontrib><creatorcontrib>Dokhe, Yogesh</creatorcontrib><creatorcontrib>Thankappan, Krishnakumar</creatorcontrib><creatorcontrib>Iyer, Subramania</creatorcontrib><creatorcontrib>Karam, Sana D.</creatorcontrib><creatorcontrib>Wiegand, Susanne</creatorcontrib><creatorcontrib>Feeley, Linda</creatorcontrib><creatorcontrib>Milross, Chris</creatorcontrib><creatorcontrib>Gao, Kan</creatorcontrib><creatorcontrib>Palme, Carsten E.</creatorcontrib><creatorcontrib>Low, Tsu-Hui (Hubert)</creatorcontrib><creatorcontrib>Gupta, Ruta</creatorcontrib><creatorcontrib>Freudlsperger, Christian</creatorcontrib><creatorcontrib>Moratin, Julius</creatorcontrib><creatorcontrib>Sheahan, Patrick</creatorcontrib><creatorcontrib>Clark, Jonathan</creatorcontrib><creatorcontrib>Ovesen, Therese</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><jtitle>European journal of cancer (1990)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mirian, Christian</au><au>Gerds, Thomas A.</au><au>Pedersen, Maria M.</au><au>de Ridder, Mischa</au><au>Balm, Alfons</au><au>Mattavelli, Davide</au><au>Piazza, Cesare</au><au>Jensen, Lasse R.</au><au>Balasubramanian, Deepak</au><au>Subramaniam, Narayana</au><au>Dokhe, Yogesh</au><au>Thankappan, Krishnakumar</au><au>Iyer, Subramania</au><au>Karam, Sana D.</au><au>Wiegand, Susanne</au><au>Feeley, Linda</au><au>Milross, Chris</au><au>Gao, Kan</au><au>Palme, Carsten E.</au><au>Low, Tsu-Hui (Hubert)</au><au>Gupta, Ruta</au><au>Freudlsperger, Christian</au><au>Moratin, Julius</au><au>Sheahan, Patrick</au><au>Clark, Jonathan</au><au>Ovesen, Therese</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Metrics of pN-staging in oral squamous cell carcinoma: An analysis of 1,905 patients</atitle><jtitle>European journal of cancer (1990)</jtitle><addtitle>Eur J Cancer</addtitle><date>2021-06-01</date><risdate>2021</risdate><volume>150</volume><spage>33</spage><epage>41</epage><pages>33-41</pages><issn>0959-8049</issn><eissn>1879-0852</eissn><abstract>We aimed to compare the predictive performance of pN-categories in oral squamous cell carcinoma (OSCC) encompassing the most recent 8th edition (TNM8), its predecessor (TNM7), and a newly proposed algorithm (pN-N+), which classifies patients according to the number of positive lymph nodes and extranodal extension.
Consecutive, primary OSCC patients from seven previously published cohorts were included and classified according to the three pN-classifications: TNM7, TNM8 and pN-N+. Overall survival probabilities were summarised with the Kaplan–Meier method. We added each of the three metrics to a Cox regression adjusted for pT-category, lymph nodal yield, age, sex, radiotherapy and chemotherapy, and trained these models in one institution. We evaluated the predictive performance in the remaining six institutions and assessed the predicted 5-year risk of death using the area under the receiver operating characteristics curve (AUC) and Brier scores.
All 1,905 included patients were classified according to TNM7 and pN-N+. A subset of 1,575 patients was additionally classified according to TNM8, leading to upstaging in 27.0%. The pN-N+ ranked overall best determined by the obtained AUC and Brier scores. In contrast to pN-N+, TNM7 and TNM8 both suffered from disproportionate patient distribution across pN-categories and poor pN-categorial discrimination on overall survival.
The TNM8 pN-classification designates a larger subset to more advanced disease stages but failed to show improvement of its predictive performance compared to TNM7. The pN-categories of TNM7/8 are disproportionate and inconsistently discriminated. The pN-N+ conveyed the best measures of prognosis and should be considered in future TNM iterations.
•The TNM8 pN-classification of OSCC has not improved compared to its predecessor.•The TNM8 pN-classifications allocates more patients to advanced stages.•The pN-categories of TNM8 are disproportionate and poorly discriminates risks.•Number of pN+ and extranodal extension conveyed best measures of prognosis.•The metastatic burden should be considered in future TNM iterations.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>33887515</pmid><doi>10.1016/j.ejca.2021.03.019</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0003-0864-7987</orcidid><orcidid>https://orcid.org/0000-0001-8016-5013</orcidid><orcidid>https://orcid.org/0000-0001-6931-4399</orcidid><orcidid>https://orcid.org/0000-0002-0278-7228</orcidid><orcidid>https://orcid.org/0000-0002-4289-0457</orcidid><orcidid>https://orcid.org/0000-0002-9153-8951</orcidid><orcidid>https://orcid.org/0000-0001-7023-6746</orcidid><orcidid>https://orcid.org/0000-0001-6801-0123</orcidid><orcidid>https://orcid.org/0000-0002-2530-3038</orcidid><orcidid>https://orcid.org/0000-0001-5999-0422</orcidid></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0959-8049 |
ispartof | European journal of cancer (1990), 2021-06, Vol.150, p.33-41 |
issn | 0959-8049 1879-0852 |
language | eng |
recordid | cdi_proquest_journals_2544913343 |
source | Elsevier ScienceDirect Journals Complete - AutoHoldings |
subjects | AJCC Algorithms Categories Chemotherapy Classification Epidemiology Head and neck oncology Lymph nodal density Lymph nodal yield Lymph nodes Medical prognosis Oral cancer Oral oncology Oral squamous cell carcinoma OSCC Performance evaluation Performance prediction pN-staging Radiation therapy Squamous cell carcinoma Survival TNM |
title | Metrics of pN-staging in oral squamous cell carcinoma: An analysis of 1,905 patients |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-15T10%3A23%3A39IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Metrics%20of%20pN-staging%20in%20oral%20squamous%20cell%20carcinoma:%20An%20analysis%20of%201,905%20patients&rft.jtitle=European%20journal%20of%20cancer%20(1990)&rft.au=Mirian,%20Christian&rft.date=2021-06-01&rft.volume=150&rft.spage=33&rft.epage=41&rft.pages=33-41&rft.issn=0959-8049&rft.eissn=1879-0852&rft_id=info:doi/10.1016/j.ejca.2021.03.019&rft_dat=%3Cproquest_cross%3E2544913343%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2544913343&rft_id=info:pmid/33887515&rft_els_id=S0959804921001866&rfr_iscdi=true |