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Nomogram predicting survival as a selection criterion for postmastectomy radiotherapy in patients with T1 to T2 breast cancer with 1 to 3 positive lymph nodes
Background The role of postmastectomy radiotherapy (PMRT) in women with pT1‐T2N1 breast cancer is controversial. The authors developed a nomogram that was predictive for overall survival (OS) and identified patients who derived no benefit from PMRT. Methods The authors retrospectively evaluated 4869...
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Published in: | Cancer 2020-08, Vol.126 (S16), p.3857-3866 |
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container_title | Cancer |
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creator | Tang, Yu Zhang, Yu-Jing Zhang, Na Shi, Mei Wen, Ge Cheng, Jing Wang, Hong-Mei Liu, Min Wang, Xiao-Hu Guo, Qi-Shuai Wu, Hong-Fen Ma, Chang-Ying Jin, Jing Liu, Yue-Ping Song, Yong-Wen Fang, Hui Ren, Hua Wang, Shu-Lian Li, Ye-Xiong |
description | Background
The role of postmastectomy radiotherapy (PMRT) in women with pT1‐T2N1 breast cancer is controversial. The authors developed a nomogram that was predictive for overall survival (OS) and identified patients who derived no benefit from PMRT.
Methods
The authors retrospectively evaluated 4869 patients with pT1‐T2N1 breast cancer who were treated with mastectomy between 2000 and 2014 in 11 Chinese hospitals. Rates of locoregional recurrence and distant metastasis were calculated using competing risk analysis, and disease‐free survival and OS rates were calculated using the Kaplan‐Meier method. Based on the risk factors identified from Cox regression analysis in 3298 unirradiated patients, a nomogram predicting OS was developed. The benefit of PMRT was evaluated in different risk groups stratified by the nomogram model.
Results
After a median follow‐up of 65.9 months, the 5‐year OS, disease‐free survival, locoregional recurrence, and distant metastasis rates were 93.3%, 84.3%, 5.2%, and 8.3%, respectively. A total of 1571 patients (32.3%) underwent PMRT. On multivariable analyses, PMRT was found to increase OS significantly (hazard ratio, 0.61; P = .002). An OS prediction nomogram evaluated the effect of age; tumor location; tumor size; positive lymph node ratio; estrogen receptor, progesterone receptor, and human epidermal growth factor receptor 2 status; and treatment with trastuzumab. Based on nomogram scores, the entire patient cohort was classified into 3 risk groups. PMRT significantly improved the OS of patients in the intermediate‐risk (P |
doi_str_mv | 10.1002/cncr.32963 |
format | article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2426801666</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2426801666</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3933-a58fad224f7341ff6f8f78b3b70941edc05eb023a208897fccee303160008e183</originalsourceid><addsrcrecordid>eNp9kctu1DAUhi0EokNhwwOgI7GrlOJLxkmWaAQFqSpSNZXYRY5z3HGVxOHYM1VehmclaQpLVr78nz9L52fsveCXgnP5yQ6WLpWstHrBNoJXRcZFLl-yDee8zLa5-nnG3sT4MB8LuVWv2ZmSheBayw37fRP6cE-mh5Gw9Tb54R7ikU7-ZDowEQxE7HC-DwNY8glp2blAMIaYehPTHIZ-AjKtD-mAZMYJ_ACjSR6HFOHRpwPsBaQAewkN4fwGrBks0po9RWrx-eRPCN3UjwcYQovxLXvlTBfx3fN6zu6-ftnvvmXXP66-7z5fZ1ZVSmVmWzrTSpm7QuXCOe1KV5SNagpe5QJby7fYcKmM5GVZFc5aRMWV0MuEUJTqnH1cvSOFX0eMqX4IRxrmL2uZS11yobWeqYuVshRiJHT1SL43NNWC10sV9VJF_VTFDH94Vh6bHtt_6N_Zz4BYgUff4fQfVb272d2u0j-MF5Yi</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2426801666</pqid></control><display><type>article</type><title>Nomogram predicting survival as a selection criterion for postmastectomy radiotherapy in patients with T1 to T2 breast cancer with 1 to 3 positive lymph nodes</title><source>Wiley-Blackwell Read & Publish Collection</source><source>EZB Electronic Journals Library</source><creator>Tang, Yu ; Zhang, Yu-Jing ; Zhang, Na ; Shi, Mei ; Wen, Ge ; Cheng, Jing ; Wang, Hong-Mei ; Liu, Min ; Wang, Xiao-Hu ; Guo, Qi-Shuai ; Wu, Hong-Fen ; Ma, Chang-Ying ; Jin, Jing ; Liu, Yue-Ping ; Song, Yong-Wen ; Fang, Hui ; Ren, Hua ; Wang, Shu-Lian ; Li, Ye-Xiong</creator><creatorcontrib>Tang, Yu ; Zhang, Yu-Jing ; Zhang, Na ; Shi, Mei ; Wen, Ge ; Cheng, Jing ; Wang, Hong-Mei ; Liu, Min ; Wang, Xiao-Hu ; Guo, Qi-Shuai ; Wu, Hong-Fen ; Ma, Chang-Ying ; Jin, Jing ; Liu, Yue-Ping ; Song, Yong-Wen ; Fang, Hui ; Ren, Hua ; Wang, Shu-Lian ; Li, Ye-Xiong</creatorcontrib><description>Background
The role of postmastectomy radiotherapy (PMRT) in women with pT1‐T2N1 breast cancer is controversial. The authors developed a nomogram that was predictive for overall survival (OS) and identified patients who derived no benefit from PMRT.
Methods
The authors retrospectively evaluated 4869 patients with pT1‐T2N1 breast cancer who were treated with mastectomy between 2000 and 2014 in 11 Chinese hospitals. Rates of locoregional recurrence and distant metastasis were calculated using competing risk analysis, and disease‐free survival and OS rates were calculated using the Kaplan‐Meier method. Based on the risk factors identified from Cox regression analysis in 3298 unirradiated patients, a nomogram predicting OS was developed. The benefit of PMRT was evaluated in different risk groups stratified by the nomogram model.
Results
After a median follow‐up of 65.9 months, the 5‐year OS, disease‐free survival, locoregional recurrence, and distant metastasis rates were 93.3%, 84.3%, 5.2%, and 8.3%, respectively. A total of 1571 patients (32.3%) underwent PMRT. On multivariable analyses, PMRT was found to increase OS significantly (hazard ratio, 0.61; P = .002). An OS prediction nomogram evaluated the effect of age; tumor location; tumor size; positive lymph node ratio; estrogen receptor, progesterone receptor, and human epidermal growth factor receptor 2 status; and treatment with trastuzumab. Based on nomogram scores, the entire patient cohort was classified into 3 risk groups. PMRT significantly improved the OS of patients in the intermediate‐risk (P < .001) and high‐risk groups (P = .004), but not in the low‐risk group (P = .728).
Conclusions
The authors developed a nomogram that is predictive of OS among women with pT1‐T2N1 breast cancer after mastectomy. This nomogram may help to select a subgroup of patients with a good prognosis who will not benefit from PMRT.
The authors have developed a nomogram that is predictive of overall survival in patients with T1‐T2N1 breast cancer after mastectomy based on clinical and treatment factors in a multicenter database from China. They are able to stratify patients into low‐risk, intermediate‐risk, and high‐risk groups. Postmastectomy radiotherapy appears to provide no survival benefit among low‐risk patients.</description><identifier>ISSN: 0008-543X</identifier><identifier>EISSN: 1097-0142</identifier><identifier>DOI: 10.1002/cncr.32963</identifier><identifier>PMID: 32710662</identifier><language>eng</language><publisher>United States: Wiley Subscription Services, Inc</publisher><subject>Age factors ; Breast cancer ; breast neoplasm ; Epidermal growth factor ; Estrogens ; Evaluation ; Growth factors ; Health risks ; Lymph nodes ; Mastectomy ; Medical prognosis ; Metastases ; Metastasis ; Monoclonal antibodies ; nomogram ; Nomograms ; Oncology ; Patients ; Progesterone ; Radiation therapy ; radiotherapy ; Receptors ; Regression analysis ; Risk analysis ; Risk factors ; Risk groups ; Subgroups ; Survival ; Targeted cancer therapy ; Trastuzumab ; Tumors</subject><ispartof>Cancer, 2020-08, Vol.126 (S16), p.3857-3866</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-c3933-a58fad224f7341ff6f8f78b3b70941edc05eb023a208897fccee303160008e183</citedby><cites>FETCH-LOGICAL-c3933-a58fad224f7341ff6f8f78b3b70941edc05eb023a208897fccee303160008e183</cites><orcidid>0000-0002-5243-2425 ; 0000-0003-0985-235X ; 0000-0002-7067-8066</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32710662$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Tang, Yu</creatorcontrib><creatorcontrib>Zhang, Yu-Jing</creatorcontrib><creatorcontrib>Zhang, Na</creatorcontrib><creatorcontrib>Shi, Mei</creatorcontrib><creatorcontrib>Wen, Ge</creatorcontrib><creatorcontrib>Cheng, Jing</creatorcontrib><creatorcontrib>Wang, Hong-Mei</creatorcontrib><creatorcontrib>Liu, Min</creatorcontrib><creatorcontrib>Wang, Xiao-Hu</creatorcontrib><creatorcontrib>Guo, Qi-Shuai</creatorcontrib><creatorcontrib>Wu, Hong-Fen</creatorcontrib><creatorcontrib>Ma, Chang-Ying</creatorcontrib><creatorcontrib>Jin, Jing</creatorcontrib><creatorcontrib>Liu, Yue-Ping</creatorcontrib><creatorcontrib>Song, Yong-Wen</creatorcontrib><creatorcontrib>Fang, Hui</creatorcontrib><creatorcontrib>Ren, Hua</creatorcontrib><creatorcontrib>Wang, Shu-Lian</creatorcontrib><creatorcontrib>Li, Ye-Xiong</creatorcontrib><title>Nomogram predicting survival as a selection criterion for postmastectomy radiotherapy in patients with T1 to T2 breast cancer with 1 to 3 positive lymph nodes</title><title>Cancer</title><addtitle>Cancer</addtitle><description>Background
The role of postmastectomy radiotherapy (PMRT) in women with pT1‐T2N1 breast cancer is controversial. The authors developed a nomogram that was predictive for overall survival (OS) and identified patients who derived no benefit from PMRT.
Methods
The authors retrospectively evaluated 4869 patients with pT1‐T2N1 breast cancer who were treated with mastectomy between 2000 and 2014 in 11 Chinese hospitals. Rates of locoregional recurrence and distant metastasis were calculated using competing risk analysis, and disease‐free survival and OS rates were calculated using the Kaplan‐Meier method. Based on the risk factors identified from Cox regression analysis in 3298 unirradiated patients, a nomogram predicting OS was developed. The benefit of PMRT was evaluated in different risk groups stratified by the nomogram model.
Results
After a median follow‐up of 65.9 months, the 5‐year OS, disease‐free survival, locoregional recurrence, and distant metastasis rates were 93.3%, 84.3%, 5.2%, and 8.3%, respectively. A total of 1571 patients (32.3%) underwent PMRT. On multivariable analyses, PMRT was found to increase OS significantly (hazard ratio, 0.61; P = .002). An OS prediction nomogram evaluated the effect of age; tumor location; tumor size; positive lymph node ratio; estrogen receptor, progesterone receptor, and human epidermal growth factor receptor 2 status; and treatment with trastuzumab. Based on nomogram scores, the entire patient cohort was classified into 3 risk groups. PMRT significantly improved the OS of patients in the intermediate‐risk (P < .001) and high‐risk groups (P = .004), but not in the low‐risk group (P = .728).
Conclusions
The authors developed a nomogram that is predictive of OS among women with pT1‐T2N1 breast cancer after mastectomy. This nomogram may help to select a subgroup of patients with a good prognosis who will not benefit from PMRT.
The authors have developed a nomogram that is predictive of overall survival in patients with T1‐T2N1 breast cancer after mastectomy based on clinical and treatment factors in a multicenter database from China. They are able to stratify patients into low‐risk, intermediate‐risk, and high‐risk groups. Postmastectomy radiotherapy appears to provide no survival benefit among low‐risk patients.</description><subject>Age factors</subject><subject>Breast cancer</subject><subject>breast neoplasm</subject><subject>Epidermal growth factor</subject><subject>Estrogens</subject><subject>Evaluation</subject><subject>Growth factors</subject><subject>Health risks</subject><subject>Lymph nodes</subject><subject>Mastectomy</subject><subject>Medical prognosis</subject><subject>Metastases</subject><subject>Metastasis</subject><subject>Monoclonal antibodies</subject><subject>nomogram</subject><subject>Nomograms</subject><subject>Oncology</subject><subject>Patients</subject><subject>Progesterone</subject><subject>Radiation therapy</subject><subject>radiotherapy</subject><subject>Receptors</subject><subject>Regression analysis</subject><subject>Risk analysis</subject><subject>Risk factors</subject><subject>Risk groups</subject><subject>Subgroups</subject><subject>Survival</subject><subject>Targeted cancer therapy</subject><subject>Trastuzumab</subject><subject>Tumors</subject><issn>0008-543X</issn><issn>1097-0142</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp9kctu1DAUhi0EokNhwwOgI7GrlOJLxkmWaAQFqSpSNZXYRY5z3HGVxOHYM1VehmclaQpLVr78nz9L52fsveCXgnP5yQ6WLpWstHrBNoJXRcZFLl-yDee8zLa5-nnG3sT4MB8LuVWv2ZmSheBayw37fRP6cE-mh5Gw9Tb54R7ikU7-ZDowEQxE7HC-DwNY8glp2blAMIaYehPTHIZ-AjKtD-mAZMYJ_ACjSR6HFOHRpwPsBaQAewkN4fwGrBks0po9RWrx-eRPCN3UjwcYQovxLXvlTBfx3fN6zu6-ftnvvmXXP66-7z5fZ1ZVSmVmWzrTSpm7QuXCOe1KV5SNagpe5QJby7fYcKmM5GVZFc5aRMWV0MuEUJTqnH1cvSOFX0eMqX4IRxrmL2uZS11yobWeqYuVshRiJHT1SL43NNWC10sV9VJF_VTFDH94Vh6bHtt_6N_Zz4BYgUff4fQfVb272d2u0j-MF5Yi</recordid><startdate>20200815</startdate><enddate>20200815</enddate><creator>Tang, Yu</creator><creator>Zhang, Yu-Jing</creator><creator>Zhang, Na</creator><creator>Shi, Mei</creator><creator>Wen, Ge</creator><creator>Cheng, Jing</creator><creator>Wang, Hong-Mei</creator><creator>Liu, Min</creator><creator>Wang, Xiao-Hu</creator><creator>Guo, Qi-Shuai</creator><creator>Wu, Hong-Fen</creator><creator>Ma, Chang-Ying</creator><creator>Jin, Jing</creator><creator>Liu, Yue-Ping</creator><creator>Song, Yong-Wen</creator><creator>Fang, Hui</creator><creator>Ren, Hua</creator><creator>Wang, Shu-Lian</creator><creator>Li, Ye-Xiong</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><orcidid>https://orcid.org/0000-0002-5243-2425</orcidid><orcidid>https://orcid.org/0000-0003-0985-235X</orcidid><orcidid>https://orcid.org/0000-0002-7067-8066</orcidid></search><sort><creationdate>20200815</creationdate><title>Nomogram predicting survival as a selection criterion for postmastectomy radiotherapy in patients with T1 to T2 breast cancer with 1 to 3 positive lymph nodes</title><author>Tang, Yu ; Zhang, Yu-Jing ; Zhang, Na ; Shi, Mei ; Wen, Ge ; Cheng, Jing ; Wang, Hong-Mei ; Liu, Min ; Wang, Xiao-Hu ; Guo, Qi-Shuai ; Wu, Hong-Fen ; Ma, Chang-Ying ; Jin, Jing ; Liu, Yue-Ping ; Song, Yong-Wen ; Fang, Hui ; Ren, Hua ; Wang, Shu-Lian ; Li, Ye-Xiong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3933-a58fad224f7341ff6f8f78b3b70941edc05eb023a208897fccee303160008e183</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Age factors</topic><topic>Breast cancer</topic><topic>breast neoplasm</topic><topic>Epidermal growth factor</topic><topic>Estrogens</topic><topic>Evaluation</topic><topic>Growth factors</topic><topic>Health risks</topic><topic>Lymph nodes</topic><topic>Mastectomy</topic><topic>Medical prognosis</topic><topic>Metastases</topic><topic>Metastasis</topic><topic>Monoclonal antibodies</topic><topic>nomogram</topic><topic>Nomograms</topic><topic>Oncology</topic><topic>Patients</topic><topic>Progesterone</topic><topic>Radiation therapy</topic><topic>radiotherapy</topic><topic>Receptors</topic><topic>Regression analysis</topic><topic>Risk analysis</topic><topic>Risk factors</topic><topic>Risk groups</topic><topic>Subgroups</topic><topic>Survival</topic><topic>Targeted cancer therapy</topic><topic>Trastuzumab</topic><topic>Tumors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tang, Yu</creatorcontrib><creatorcontrib>Zhang, Yu-Jing</creatorcontrib><creatorcontrib>Zhang, Na</creatorcontrib><creatorcontrib>Shi, Mei</creatorcontrib><creatorcontrib>Wen, Ge</creatorcontrib><creatorcontrib>Cheng, Jing</creatorcontrib><creatorcontrib>Wang, Hong-Mei</creatorcontrib><creatorcontrib>Liu, Min</creatorcontrib><creatorcontrib>Wang, Xiao-Hu</creatorcontrib><creatorcontrib>Guo, Qi-Shuai</creatorcontrib><creatorcontrib>Wu, Hong-Fen</creatorcontrib><creatorcontrib>Ma, Chang-Ying</creatorcontrib><creatorcontrib>Jin, Jing</creatorcontrib><creatorcontrib>Liu, Yue-Ping</creatorcontrib><creatorcontrib>Song, Yong-Wen</creatorcontrib><creatorcontrib>Fang, Hui</creatorcontrib><creatorcontrib>Ren, Hua</creatorcontrib><creatorcontrib>Wang, Shu-Lian</creatorcontrib><creatorcontrib>Li, Ye-Xiong</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>Cancer</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tang, Yu</au><au>Zhang, Yu-Jing</au><au>Zhang, Na</au><au>Shi, Mei</au><au>Wen, Ge</au><au>Cheng, Jing</au><au>Wang, Hong-Mei</au><au>Liu, Min</au><au>Wang, Xiao-Hu</au><au>Guo, Qi-Shuai</au><au>Wu, Hong-Fen</au><au>Ma, Chang-Ying</au><au>Jin, Jing</au><au>Liu, Yue-Ping</au><au>Song, Yong-Wen</au><au>Fang, Hui</au><au>Ren, Hua</au><au>Wang, Shu-Lian</au><au>Li, Ye-Xiong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Nomogram predicting survival as a selection criterion for postmastectomy radiotherapy in patients with T1 to T2 breast cancer with 1 to 3 positive lymph nodes</atitle><jtitle>Cancer</jtitle><addtitle>Cancer</addtitle><date>2020-08-15</date><risdate>2020</risdate><volume>126</volume><issue>S16</issue><spage>3857</spage><epage>3866</epage><pages>3857-3866</pages><issn>0008-543X</issn><eissn>1097-0142</eissn><abstract>Background
The role of postmastectomy radiotherapy (PMRT) in women with pT1‐T2N1 breast cancer is controversial. The authors developed a nomogram that was predictive for overall survival (OS) and identified patients who derived no benefit from PMRT.
Methods
The authors retrospectively evaluated 4869 patients with pT1‐T2N1 breast cancer who were treated with mastectomy between 2000 and 2014 in 11 Chinese hospitals. Rates of locoregional recurrence and distant metastasis were calculated using competing risk analysis, and disease‐free survival and OS rates were calculated using the Kaplan‐Meier method. Based on the risk factors identified from Cox regression analysis in 3298 unirradiated patients, a nomogram predicting OS was developed. The benefit of PMRT was evaluated in different risk groups stratified by the nomogram model.
Results
After a median follow‐up of 65.9 months, the 5‐year OS, disease‐free survival, locoregional recurrence, and distant metastasis rates were 93.3%, 84.3%, 5.2%, and 8.3%, respectively. A total of 1571 patients (32.3%) underwent PMRT. On multivariable analyses, PMRT was found to increase OS significantly (hazard ratio, 0.61; P = .002). An OS prediction nomogram evaluated the effect of age; tumor location; tumor size; positive lymph node ratio; estrogen receptor, progesterone receptor, and human epidermal growth factor receptor 2 status; and treatment with trastuzumab. Based on nomogram scores, the entire patient cohort was classified into 3 risk groups. PMRT significantly improved the OS of patients in the intermediate‐risk (P < .001) and high‐risk groups (P = .004), but not in the low‐risk group (P = .728).
Conclusions
The authors developed a nomogram that is predictive of OS among women with pT1‐T2N1 breast cancer after mastectomy. This nomogram may help to select a subgroup of patients with a good prognosis who will not benefit from PMRT.
The authors have developed a nomogram that is predictive of overall survival in patients with T1‐T2N1 breast cancer after mastectomy based on clinical and treatment factors in a multicenter database from China. They are able to stratify patients into low‐risk, intermediate‐risk, and high‐risk groups. Postmastectomy radiotherapy appears to provide no survival benefit among low‐risk patients.</abstract><cop>United States</cop><pub>Wiley Subscription Services, Inc</pub><pmid>32710662</pmid><doi>10.1002/cncr.32963</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-5243-2425</orcidid><orcidid>https://orcid.org/0000-0003-0985-235X</orcidid><orcidid>https://orcid.org/0000-0002-7067-8066</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Age factors Breast cancer breast neoplasm Epidermal growth factor Estrogens Evaluation Growth factors Health risks Lymph nodes Mastectomy Medical prognosis Metastases Metastasis Monoclonal antibodies nomogram Nomograms Oncology Patients Progesterone Radiation therapy radiotherapy Receptors Regression analysis Risk analysis Risk factors Risk groups Subgroups Survival Targeted cancer therapy Trastuzumab Tumors |
title | Nomogram predicting survival as a selection criterion for postmastectomy radiotherapy in patients with T1 to T2 breast cancer with 1 to 3 positive lymph nodes |
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