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Can Ki-67 Play a Role in Prediction of Breast Cancer Patients' Response to Neoadjuvant Chemotherapy?
Background. Currently the choice of breast cancer therapy is based on prognostic factors. The proliferation marker Ki-67 is used increasingly to determine the method of therapy. The current study analyses the predictive value of Ki-67 in foreseeing breast cancer patients’ responses to neoadjuvant ch...
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description | Background. Currently the choice of breast cancer therapy is based on prognostic factors. The proliferation marker Ki-67 is used increasingly to determine the method of therapy. The current study analyses the predictive value of Ki-67 in foreseeing breast cancer patients’ responses to neoadjuvant chemotherapy. Methods. This study includes patients with invasive breast cancer treated between 2008 and 2013. The clinical response was assessed by correlating Ki-67 to histological examination, mammography, and ultrasonography findings. Results. The average Ki-67 value in our patients collectively (n=77) is 34.9 ± 24.6%. The average Ki-67 value is the highest with 37.4 ± 24.0% in patients with a pCR. The Ki-67 values do not differ significantly among the 3 groups: pCR versus partial pathological response versus stable disease/progress (P=0.896). However, Ki-67 values of patients with luminal, Her2 enriched, and basal-like cancers differed significantly from each other. Furthermore, within the group of luminal tumors Ki-67 values of patients with versus without pCR also differed significantly. Conclusion. Our data shows that the Ki-67 value predicts the response to neoadjuvant chemotherapy as a function of the molecular subtype, reflecting the daily routine concerning Ki-67 and its impressing potential and limitation as a predictive marker for neoadjuvant chemotherapy response. |
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Currently the choice of breast cancer therapy is based on prognostic factors. The proliferation marker Ki-67 is used increasingly to determine the method of therapy. The current study analyses the predictive value of Ki-67 in foreseeing breast cancer patients’ responses to neoadjuvant chemotherapy. Methods. This study includes patients with invasive breast cancer treated between 2008 and 2013. The clinical response was assessed by correlating Ki-67 to histological examination, mammography, and ultrasonography findings. Results. The average Ki-67 value in our patients collectively (n=77) is 34.9 ± 24.6%. The average Ki-67 value is the highest with 37.4 ± 24.0% in patients with a pCR. The Ki-67 values do not differ significantly among the 3 groups: pCR versus partial pathological response versus stable disease/progress (P=0.896). However, Ki-67 values of patients with luminal, Her2 enriched, and basal-like cancers differed significantly from each other. Furthermore, within the group of luminal tumors Ki-67 values of patients with versus without pCR also differed significantly. Conclusion. Our data shows that the Ki-67 value predicts the response to neoadjuvant chemotherapy as a function of the molecular subtype, reflecting the daily routine concerning Ki-67 and its impressing potential and limitation as a predictive marker for neoadjuvant chemotherapy response.</description><identifier>ISSN: 2314-6133</identifier><identifier>EISSN: 2314-6141</identifier><identifier>DOI: 10.1155/2014/628217</identifier><identifier>PMID: 24783217</identifier><language>eng</language><publisher>Cairo, Egypt: Hindawi Puplishing Corporation</publisher><subject>Adjuvant treatment ; Adult ; Biomedical research ; Biopsy ; Breast cancer ; Breast Neoplasms - drug therapy ; Breast Neoplasms - metabolism ; Breast Neoplasms - pathology ; Cancer ; Cancer patients ; Chemotherapy ; Female ; Humans ; Ki-67 Antigen - metabolism ; Middle Aged ; Mortality ; Neoadjuvant Therapy ; Receptor, ErbB-2 - metabolism ; Retrospective Studies ; Tumors ; Ultrasound imaging</subject><ispartof>BioMed research international, 2014-01, Vol.2014 (2014), p.1-7</ispartof><rights>Copyright © 2014 Juhasz-Böss Ingolf et al.</rights><rights>COPYRIGHT 2014 John Wiley & Sons, Inc.</rights><rights>Copyright © 2014 Juhasz-Böss Ingolf et al. Juhasz-Böss Ingolf et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</rights><rights>Copyright © 2014 Juhasz-Böss Ingolf et al. 2014</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c527t-16c5d2a6a27a65c76463aba6219850b773514d8ab273daf680a32dfdcf8a2a463</citedby><cites>FETCH-LOGICAL-c527t-16c5d2a6a27a65c76463aba6219850b773514d8ab273daf680a32dfdcf8a2a463</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1517834562/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1517834562?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,780,784,885,25752,27923,27924,37011,37012,44589,74897</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24783217$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Fasching, Peter A.</contributor><creatorcontrib>Ingolf, Juhasz-Böss</creatorcontrib><creatorcontrib>Russalina, Mavrova</creatorcontrib><creatorcontrib>Simona, Moga</creatorcontrib><creatorcontrib>Julia, Radosa</creatorcontrib><creatorcontrib>Gilda, Schmidt</creatorcontrib><creatorcontrib>Bohle, Rainer M.</creatorcontrib><creatorcontrib>Andrea, Hasenfus</creatorcontrib><creatorcontrib>Erich, Solomayer</creatorcontrib><creatorcontrib>Daniel, Herr</creatorcontrib><title>Can Ki-67 Play a Role in Prediction of Breast Cancer Patients' Response to Neoadjuvant Chemotherapy?</title><title>BioMed research international</title><addtitle>Biomed Res Int</addtitle><description>Background. Currently the choice of breast cancer therapy is based on prognostic factors. The proliferation marker Ki-67 is used increasingly to determine the method of therapy. The current study analyses the predictive value of Ki-67 in foreseeing breast cancer patients’ responses to neoadjuvant chemotherapy. Methods. This study includes patients with invasive breast cancer treated between 2008 and 2013. The clinical response was assessed by correlating Ki-67 to histological examination, mammography, and ultrasonography findings. Results. The average Ki-67 value in our patients collectively (n=77) is 34.9 ± 24.6%. The average Ki-67 value is the highest with 37.4 ± 24.0% in patients with a pCR. The Ki-67 values do not differ significantly among the 3 groups: pCR versus partial pathological response versus stable disease/progress (P=0.896). However, Ki-67 values of patients with luminal, Her2 enriched, and basal-like cancers differed significantly from each other. Furthermore, within the group of luminal tumors Ki-67 values of patients with versus without pCR also differed significantly. Conclusion. Our data shows that the Ki-67 value predicts the response to neoadjuvant chemotherapy as a function of the molecular subtype, reflecting the daily routine concerning Ki-67 and its impressing potential and limitation as a predictive marker for neoadjuvant chemotherapy response.</description><subject>Adjuvant treatment</subject><subject>Adult</subject><subject>Biomedical research</subject><subject>Biopsy</subject><subject>Breast cancer</subject><subject>Breast Neoplasms - drug therapy</subject><subject>Breast Neoplasms - metabolism</subject><subject>Breast Neoplasms - pathology</subject><subject>Cancer</subject><subject>Cancer patients</subject><subject>Chemotherapy</subject><subject>Female</subject><subject>Humans</subject><subject>Ki-67 Antigen - metabolism</subject><subject>Middle Aged</subject><subject>Mortality</subject><subject>Neoadjuvant Therapy</subject><subject>Receptor, ErbB-2 - metabolism</subject><subject>Retrospective Studies</subject><subject>Tumors</subject><subject>Ultrasound imaging</subject><issn>2314-6133</issn><issn>2314-6141</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><recordid>eNqN0s9v0zAUB_AIgdg0duIMssQBBArzb7sX0Kj4JSaoJjhbr7azukrtzk6G-t_jKqP8uIAvsZRPvn55fk3zkOCXhAhxRjHhZ5JqStSd5pgywltJOLl72DN21JyWssZ1aSLxTN5vjihXmtVPjhs3h4g-hVYqtOhhhwBdpt6jENEiexfsEFJEqUNvsocyoKqtz2gBQ_BxKE_RpS_bFItHQ0KffQK3Hm8gVrjymzSsfIbt7vWD5l4HffGnt8-T5tu7t1_nH9qLL-8_zs8vWiuoGloirXAUJFAFUlgluWSwBEnJTAu8VIoJwp2GJVXMQSc1BkZd52yngULFJ82rKXc7Ljfe2Vpiht5sc9hA3pkEwfz5JoaVuUo3hs005YTWgGe3ATldj74MZhOK9X0P0aexGCIo55hjyv6HYsaFlPuynvxF12nMsXaiKlJvojL6S11B702IXaol2n2oOedU1TM1nVX1YlI2p1Ky7w5_R7DZT4TZT4SZJqLqx7835GB_3n8FzyewCtHB9_CPtEcT9pX4Dg6Ya8mkYD8AeRDDsg</recordid><startdate>20140101</startdate><enddate>20140101</enddate><creator>Ingolf, Juhasz-Böss</creator><creator>Russalina, Mavrova</creator><creator>Simona, Moga</creator><creator>Julia, Radosa</creator><creator>Gilda, Schmidt</creator><creator>Bohle, Rainer M.</creator><creator>Andrea, Hasenfus</creator><creator>Erich, Solomayer</creator><creator>Daniel, Herr</creator><general>Hindawi Puplishing Corporation</general><general>Hindawi Publishing Corporation</general><general>John Wiley & Sons, Inc</general><general>Hindawi Limited</general><scope>ADJCN</scope><scope>AFFIF</scope><scope>AHFXO</scope><scope>RHU</scope><scope>RHW</scope><scope>RHX</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>3V.</scope><scope>7QL</scope><scope>7QO</scope><scope>7T7</scope><scope>7TK</scope><scope>7U7</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>CWDGH</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20140101</creationdate><title>Can Ki-67 Play a Role in Prediction of Breast Cancer Patients' Response to Neoadjuvant Chemotherapy?</title><author>Ingolf, Juhasz-Böss ; Russalina, Mavrova ; Simona, Moga ; Julia, Radosa ; Gilda, Schmidt ; Bohle, Rainer M. ; Andrea, Hasenfus ; Erich, Solomayer ; Daniel, Herr</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c527t-16c5d2a6a27a65c76463aba6219850b773514d8ab273daf680a32dfdcf8a2a463</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Adjuvant treatment</topic><topic>Adult</topic><topic>Biomedical research</topic><topic>Biopsy</topic><topic>Breast cancer</topic><topic>Breast Neoplasms - drug therapy</topic><topic>Breast Neoplasms - metabolism</topic><topic>Breast Neoplasms - pathology</topic><topic>Cancer</topic><topic>Cancer patients</topic><topic>Chemotherapy</topic><topic>Female</topic><topic>Humans</topic><topic>Ki-67 Antigen - metabolism</topic><topic>Middle Aged</topic><topic>Mortality</topic><topic>Neoadjuvant Therapy</topic><topic>Receptor, ErbB-2 - metabolism</topic><topic>Retrospective Studies</topic><topic>Tumors</topic><topic>Ultrasound imaging</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ingolf, Juhasz-Böss</creatorcontrib><creatorcontrib>Russalina, Mavrova</creatorcontrib><creatorcontrib>Simona, Moga</creatorcontrib><creatorcontrib>Julia, Radosa</creatorcontrib><creatorcontrib>Gilda, Schmidt</creatorcontrib><creatorcontrib>Bohle, Rainer M.</creatorcontrib><creatorcontrib>Andrea, Hasenfus</creatorcontrib><creatorcontrib>Erich, Solomayer</creatorcontrib><creatorcontrib>Daniel, Herr</creatorcontrib><collection>الدوريات العلمية والإحصائية - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>BioMed research international</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ingolf, Juhasz-Böss</au><au>Russalina, Mavrova</au><au>Simona, Moga</au><au>Julia, Radosa</au><au>Gilda, Schmidt</au><au>Bohle, Rainer M.</au><au>Andrea, Hasenfus</au><au>Erich, Solomayer</au><au>Daniel, Herr</au><au>Fasching, Peter A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Can Ki-67 Play a Role in Prediction of Breast Cancer Patients' Response to Neoadjuvant Chemotherapy?</atitle><jtitle>BioMed research international</jtitle><addtitle>Biomed Res Int</addtitle><date>2014-01-01</date><risdate>2014</risdate><volume>2014</volume><issue>2014</issue><spage>1</spage><epage>7</epage><pages>1-7</pages><issn>2314-6133</issn><eissn>2314-6141</eissn><abstract>Background. Currently the choice of breast cancer therapy is based on prognostic factors. The proliferation marker Ki-67 is used increasingly to determine the method of therapy. The current study analyses the predictive value of Ki-67 in foreseeing breast cancer patients’ responses to neoadjuvant chemotherapy. Methods. This study includes patients with invasive breast cancer treated between 2008 and 2013. The clinical response was assessed by correlating Ki-67 to histological examination, mammography, and ultrasonography findings. Results. The average Ki-67 value in our patients collectively (n=77) is 34.9 ± 24.6%. The average Ki-67 value is the highest with 37.4 ± 24.0% in patients with a pCR. The Ki-67 values do not differ significantly among the 3 groups: pCR versus partial pathological response versus stable disease/progress (P=0.896). However, Ki-67 values of patients with luminal, Her2 enriched, and basal-like cancers differed significantly from each other. Furthermore, within the group of luminal tumors Ki-67 values of patients with versus without pCR also differed significantly. Conclusion. Our data shows that the Ki-67 value predicts the response to neoadjuvant chemotherapy as a function of the molecular subtype, reflecting the daily routine concerning Ki-67 and its impressing potential and limitation as a predictive marker for neoadjuvant chemotherapy response.</abstract><cop>Cairo, Egypt</cop><pub>Hindawi Puplishing Corporation</pub><pmid>24783217</pmid><doi>10.1155/2014/628217</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adjuvant treatment Adult Biomedical research Biopsy Breast cancer Breast Neoplasms - drug therapy Breast Neoplasms - metabolism Breast Neoplasms - pathology Cancer Cancer patients Chemotherapy Female Humans Ki-67 Antigen - metabolism Middle Aged Mortality Neoadjuvant Therapy Receptor, ErbB-2 - metabolism Retrospective Studies Tumors Ultrasound imaging |
title | Can Ki-67 Play a Role in Prediction of Breast Cancer Patients' Response to Neoadjuvant Chemotherapy? |
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