Prospective cohort study using the breast cancer spheroid model as a predictor for response to neoadjuvant therapy--the SpheroNEO study
Aim of this prospective study was to predict response to neoadjuvant therapy in breast cancer patients using an in vitro breast cancer spheroid model. Three-dimensional spheroids were directly generated from fresh breast tumor biopsies of 78 patients eligible for neoadjuvant therapy. Cell survival w...
Gespeichert in:
Veröffentlicht in: | BMC cancer 2015-07, Vol.15 (1), p.519-519, Article 519 |
---|---|
Hauptverfasser: | , , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 519 |
---|---|
container_issue | 1 |
container_start_page | 519 |
container_title | BMC cancer |
container_volume | 15 |
creator | Halfter, Kathrin Ditsch, Nina Kolberg, Hans-Christian Fischer, Holger Hauzenberger, Tanja von Koch, Franz Edler Bauerfeind, Ingo von Minckwitz, Gunter Funke, Ilona Crispin, Alexander Mayer, Barbara |
description | Aim of this prospective study was to predict response to neoadjuvant therapy in breast cancer patients using an in vitro breast cancer spheroid model.
Three-dimensional spheroids were directly generated from fresh breast tumor biopsies of 78 patients eligible for neoadjuvant therapy. Cell survival was measured after in vitro exposure to the equivalent therapeutic agents in the breast cancer spheroid model. Treatment results in vitro were correlated with pathological complete response (pCR, i.e. ypT0 ypN0) determined at surgery.
A mean cell survival of 21.8 % was found in the breast cancer spheroid model for 22 patients with pCR versus 63.8 % in 56 patients without pCR (P = .001). The area under the receiver operator characteristic curve to predict pCR was 0.86 (95 % CI: 0.77 to 0.96) for cell survival in vitro compared to 0.80 (95 % CI: 0.70 to 0.90) for a combined model of conventional factors (hormone- and HER2 receptor, and age). A cutoff at 35 % cell survival for the spheroid model was proposed. Out of the 32 patients with values below this threshold, 21 patients (65.6 %) and one patient (2.2 %) with a cell survival greater than 35 % achieved pCR respectively; (sensitivity 95.5 % (95 % CI: 0.86 to 1.00); specificity 80.4 % (95 % CI: 0.70 to 0.91)). Extent of residual disease positively correlated with increased cell survival (P = .021).
The breast cancer spheroid model proved to be a highly sensitive and specific predictor for pCR after neoadjuvant chemotherapy in breast cancer patients. |
doi_str_mv | 10.1186/s12885-015-1491-7 |
format | Article |
fullrecord | <record><control><sourceid>gale_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4501185</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A541402328</galeid><sourcerecordid>A541402328</sourcerecordid><originalsourceid>FETCH-LOGICAL-c629t-f2c6ab51ad2fde60d30cc29e4cad0681a1aa5c97d9179bf87971f8a0015666143</originalsourceid><addsrcrecordid>eNptkt-K1DAUxoso7h99AG8kIIhedE06bZLeCMuy6sLiiqvX4UxyOs3QabpJOjhPsK9t6qzLVCQ0Ke3vfIfz5cuyV4yeMSb5h8AKKaucsipnZc1y8SQ7ZqVgeVFS8fTg_Sg7CWFNKROSyufZUcEZr9N2nN1_8y4MqKPdItGudT6SEEezI2Ow_YrEFsnSI4RINPQaPQlDi95ZQzbOYEcgECCDR2N1dJ406fEYBtcHJNGRHh2Y9biFPk5aHoZdnk-it39kvl7e7Nu9yJ410AV8-XCeZj8_Xf64-JJf33y-uji_zjUv6pg3heawrBiYojHIqVlQrYsaSw2GcsmAAVS6FqZmol42UtSCNRLS5BXnnJWL0-zjXncYlxs0GvvooVODtxvwO-XAqvmf3rZq5baqrGjyvEoC7x4EvLsbMUS1sUFj10EadQwqGcu5LATnCX3zD7p2o-_TeGq6iIRIekCtoENl-8alvnoSVedVyUpaLAqZqLP_UGkZ3Fjtemxs-j4reD8rSEzEX3EFYwjq6vb7nH17wLYIXWyD68Zo0zXOQbYHdUpN8Ng8GseomiKp9pFUyW81RVKJVPP60PHHir8ZXPwGgs3cGg</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1780766806</pqid></control><display><type>article</type><title>Prospective cohort study using the breast cancer spheroid model as a predictor for response to neoadjuvant therapy--the SpheroNEO study</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>SpringerLink Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central</source><source>PubMed Central Open Access</source><source>Springer Nature OA Free Journals</source><creator>Halfter, Kathrin ; Ditsch, Nina ; Kolberg, Hans-Christian ; Fischer, Holger ; Hauzenberger, Tanja ; von Koch, Franz Edler ; Bauerfeind, Ingo ; von Minckwitz, Gunter ; Funke, Ilona ; Crispin, Alexander ; Mayer, Barbara</creator><creatorcontrib>Halfter, Kathrin ; Ditsch, Nina ; Kolberg, Hans-Christian ; Fischer, Holger ; Hauzenberger, Tanja ; von Koch, Franz Edler ; Bauerfeind, Ingo ; von Minckwitz, Gunter ; Funke, Ilona ; Crispin, Alexander ; Mayer, Barbara ; Behalf of the SpheroNEO Study Group</creatorcontrib><description>Aim of this prospective study was to predict response to neoadjuvant therapy in breast cancer patients using an in vitro breast cancer spheroid model.
Three-dimensional spheroids were directly generated from fresh breast tumor biopsies of 78 patients eligible for neoadjuvant therapy. Cell survival was measured after in vitro exposure to the equivalent therapeutic agents in the breast cancer spheroid model. Treatment results in vitro were correlated with pathological complete response (pCR, i.e. ypT0 ypN0) determined at surgery.
A mean cell survival of 21.8 % was found in the breast cancer spheroid model for 22 patients with pCR versus 63.8 % in 56 patients without pCR (P = .001). The area under the receiver operator characteristic curve to predict pCR was 0.86 (95 % CI: 0.77 to 0.96) for cell survival in vitro compared to 0.80 (95 % CI: 0.70 to 0.90) for a combined model of conventional factors (hormone- and HER2 receptor, and age). A cutoff at 35 % cell survival for the spheroid model was proposed. Out of the 32 patients with values below this threshold, 21 patients (65.6 %) and one patient (2.2 %) with a cell survival greater than 35 % achieved pCR respectively; (sensitivity 95.5 % (95 % CI: 0.86 to 1.00); specificity 80.4 % (95 % CI: 0.70 to 0.91)). Extent of residual disease positively correlated with increased cell survival (P = .021).
The breast cancer spheroid model proved to be a highly sensitive and specific predictor for pCR after neoadjuvant chemotherapy in breast cancer patients.</description><identifier>ISSN: 1471-2407</identifier><identifier>EISSN: 1471-2407</identifier><identifier>DOI: 10.1186/s12885-015-1491-7</identifier><identifier>PMID: 26169261</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Adult ; Aged ; Antineoplastic Agents - pharmacology ; Antineoplastic Agents - therapeutic use ; Biomarkers ; Biomarkers, Tumor ; Biopsy ; Breast cancer ; Breast Neoplasms - drug therapy ; Breast Neoplasms - metabolism ; Breast Neoplasms - mortality ; Breast Neoplasms - pathology ; Cancer therapies ; Care and treatment ; Chemotherapy ; Clinical outcomes ; Cohort analysis ; Cohort Studies ; Drug dosages ; Female ; Health aspects ; Humans ; In Vitro Techniques ; Laboratories ; Metabolism ; Middle Aged ; Neoadjuvant Therapy ; Neoplasm Grading ; Neoplasm Metastasis ; Neoplasm Staging ; Odds Ratio ; Patient outcomes ; Patients ; Prognosis ; Prospective Studies ; ROC Curve ; Spheroids, Cellular ; Tumor Cells, Cultured ; Tumors ; Young Adult</subject><ispartof>BMC cancer, 2015-07, Vol.15 (1), p.519-519, Article 519</ispartof><rights>COPYRIGHT 2015 BioMed Central Ltd.</rights><rights>Copyright BioMed Central 2015</rights><rights>Halfter et al. 2015</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c629t-f2c6ab51ad2fde60d30cc29e4cad0681a1aa5c97d9179bf87971f8a0015666143</citedby><cites>FETCH-LOGICAL-c629t-f2c6ab51ad2fde60d30cc29e4cad0681a1aa5c97d9179bf87971f8a0015666143</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4501185/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4501185/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26169261$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Halfter, Kathrin</creatorcontrib><creatorcontrib>Ditsch, Nina</creatorcontrib><creatorcontrib>Kolberg, Hans-Christian</creatorcontrib><creatorcontrib>Fischer, Holger</creatorcontrib><creatorcontrib>Hauzenberger, Tanja</creatorcontrib><creatorcontrib>von Koch, Franz Edler</creatorcontrib><creatorcontrib>Bauerfeind, Ingo</creatorcontrib><creatorcontrib>von Minckwitz, Gunter</creatorcontrib><creatorcontrib>Funke, Ilona</creatorcontrib><creatorcontrib>Crispin, Alexander</creatorcontrib><creatorcontrib>Mayer, Barbara</creatorcontrib><creatorcontrib>Behalf of the SpheroNEO Study Group</creatorcontrib><title>Prospective cohort study using the breast cancer spheroid model as a predictor for response to neoadjuvant therapy--the SpheroNEO study</title><title>BMC cancer</title><addtitle>BMC Cancer</addtitle><description>Aim of this prospective study was to predict response to neoadjuvant therapy in breast cancer patients using an in vitro breast cancer spheroid model.
Three-dimensional spheroids were directly generated from fresh breast tumor biopsies of 78 patients eligible for neoadjuvant therapy. Cell survival was measured after in vitro exposure to the equivalent therapeutic agents in the breast cancer spheroid model. Treatment results in vitro were correlated with pathological complete response (pCR, i.e. ypT0 ypN0) determined at surgery.
A mean cell survival of 21.8 % was found in the breast cancer spheroid model for 22 patients with pCR versus 63.8 % in 56 patients without pCR (P = .001). The area under the receiver operator characteristic curve to predict pCR was 0.86 (95 % CI: 0.77 to 0.96) for cell survival in vitro compared to 0.80 (95 % CI: 0.70 to 0.90) for a combined model of conventional factors (hormone- and HER2 receptor, and age). A cutoff at 35 % cell survival for the spheroid model was proposed. Out of the 32 patients with values below this threshold, 21 patients (65.6 %) and one patient (2.2 %) with a cell survival greater than 35 % achieved pCR respectively; (sensitivity 95.5 % (95 % CI: 0.86 to 1.00); specificity 80.4 % (95 % CI: 0.70 to 0.91)). Extent of residual disease positively correlated with increased cell survival (P = .021).
The breast cancer spheroid model proved to be a highly sensitive and specific predictor for pCR after neoadjuvant chemotherapy in breast cancer patients.</description><subject>Adult</subject><subject>Aged</subject><subject>Antineoplastic Agents - pharmacology</subject><subject>Antineoplastic Agents - therapeutic use</subject><subject>Biomarkers</subject><subject>Biomarkers, Tumor</subject><subject>Biopsy</subject><subject>Breast cancer</subject><subject>Breast Neoplasms - drug therapy</subject><subject>Breast Neoplasms - metabolism</subject><subject>Breast Neoplasms - mortality</subject><subject>Breast Neoplasms - pathology</subject><subject>Cancer therapies</subject><subject>Care and treatment</subject><subject>Chemotherapy</subject><subject>Clinical outcomes</subject><subject>Cohort analysis</subject><subject>Cohort Studies</subject><subject>Drug dosages</subject><subject>Female</subject><subject>Health aspects</subject><subject>Humans</subject><subject>In Vitro Techniques</subject><subject>Laboratories</subject><subject>Metabolism</subject><subject>Middle Aged</subject><subject>Neoadjuvant Therapy</subject><subject>Neoplasm Grading</subject><subject>Neoplasm Metastasis</subject><subject>Neoplasm Staging</subject><subject>Odds Ratio</subject><subject>Patient outcomes</subject><subject>Patients</subject><subject>Prognosis</subject><subject>Prospective Studies</subject><subject>ROC Curve</subject><subject>Spheroids, Cellular</subject><subject>Tumor Cells, Cultured</subject><subject>Tumors</subject><subject>Young Adult</subject><issn>1471-2407</issn><issn>1471-2407</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNptkt-K1DAUxoso7h99AG8kIIhedE06bZLeCMuy6sLiiqvX4UxyOs3QabpJOjhPsK9t6qzLVCQ0Ke3vfIfz5cuyV4yeMSb5h8AKKaucsipnZc1y8SQ7ZqVgeVFS8fTg_Sg7CWFNKROSyufZUcEZr9N2nN1_8y4MqKPdItGudT6SEEezI2Ow_YrEFsnSI4RINPQaPQlDi95ZQzbOYEcgECCDR2N1dJ406fEYBtcHJNGRHh2Y9biFPk5aHoZdnk-it39kvl7e7Nu9yJ410AV8-XCeZj8_Xf64-JJf33y-uji_zjUv6pg3heawrBiYojHIqVlQrYsaSw2GcsmAAVS6FqZmol42UtSCNRLS5BXnnJWL0-zjXncYlxs0GvvooVODtxvwO-XAqvmf3rZq5baqrGjyvEoC7x4EvLsbMUS1sUFj10EadQwqGcu5LATnCX3zD7p2o-_TeGq6iIRIekCtoENl-8alvnoSVedVyUpaLAqZqLP_UGkZ3Fjtemxs-j4reD8rSEzEX3EFYwjq6vb7nH17wLYIXWyD68Zo0zXOQbYHdUpN8Ng8GseomiKp9pFUyW81RVKJVPP60PHHir8ZXPwGgs3cGg</recordid><startdate>20150715</startdate><enddate>20150715</enddate><creator>Halfter, Kathrin</creator><creator>Ditsch, Nina</creator><creator>Kolberg, Hans-Christian</creator><creator>Fischer, Holger</creator><creator>Hauzenberger, Tanja</creator><creator>von Koch, Franz Edler</creator><creator>Bauerfeind, Ingo</creator><creator>von Minckwitz, Gunter</creator><creator>Funke, Ilona</creator><creator>Crispin, Alexander</creator><creator>Mayer, Barbara</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><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>ISR</scope><scope>3V.</scope><scope>7TO</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>H94</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</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>20150715</creationdate><title>Prospective cohort study using the breast cancer spheroid model as a predictor for response to neoadjuvant therapy--the SpheroNEO study</title><author>Halfter, Kathrin ; Ditsch, Nina ; Kolberg, Hans-Christian ; Fischer, Holger ; Hauzenberger, Tanja ; von Koch, Franz Edler ; Bauerfeind, Ingo ; von Minckwitz, Gunter ; Funke, Ilona ; Crispin, Alexander ; Mayer, Barbara</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c629t-f2c6ab51ad2fde60d30cc29e4cad0681a1aa5c97d9179bf87971f8a0015666143</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Antineoplastic Agents - pharmacology</topic><topic>Antineoplastic Agents - therapeutic use</topic><topic>Biomarkers</topic><topic>Biomarkers, Tumor</topic><topic>Biopsy</topic><topic>Breast cancer</topic><topic>Breast Neoplasms - drug therapy</topic><topic>Breast Neoplasms - metabolism</topic><topic>Breast Neoplasms - mortality</topic><topic>Breast Neoplasms - pathology</topic><topic>Cancer therapies</topic><topic>Care and treatment</topic><topic>Chemotherapy</topic><topic>Clinical outcomes</topic><topic>Cohort analysis</topic><topic>Cohort Studies</topic><topic>Drug dosages</topic><topic>Female</topic><topic>Health aspects</topic><topic>Humans</topic><topic>In Vitro Techniques</topic><topic>Laboratories</topic><topic>Metabolism</topic><topic>Middle Aged</topic><topic>Neoadjuvant Therapy</topic><topic>Neoplasm Grading</topic><topic>Neoplasm Metastasis</topic><topic>Neoplasm Staging</topic><topic>Odds Ratio</topic><topic>Patient outcomes</topic><topic>Patients</topic><topic>Prognosis</topic><topic>Prospective Studies</topic><topic>ROC Curve</topic><topic>Spheroids, Cellular</topic><topic>Tumor Cells, Cultured</topic><topic>Tumors</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Halfter, Kathrin</creatorcontrib><creatorcontrib>Ditsch, Nina</creatorcontrib><creatorcontrib>Kolberg, Hans-Christian</creatorcontrib><creatorcontrib>Fischer, Holger</creatorcontrib><creatorcontrib>Hauzenberger, Tanja</creatorcontrib><creatorcontrib>von Koch, Franz Edler</creatorcontrib><creatorcontrib>Bauerfeind, Ingo</creatorcontrib><creatorcontrib>von Minckwitz, Gunter</creatorcontrib><creatorcontrib>Funke, Ilona</creatorcontrib><creatorcontrib>Crispin, Alexander</creatorcontrib><creatorcontrib>Mayer, Barbara</creatorcontrib><creatorcontrib>Behalf of the SpheroNEO Study Group</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</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 Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Publicly Available Content Database</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><collection>PubMed Central (Full Participant titles)</collection><jtitle>BMC cancer</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Halfter, Kathrin</au><au>Ditsch, Nina</au><au>Kolberg, Hans-Christian</au><au>Fischer, Holger</au><au>Hauzenberger, Tanja</au><au>von Koch, Franz Edler</au><au>Bauerfeind, Ingo</au><au>von Minckwitz, Gunter</au><au>Funke, Ilona</au><au>Crispin, Alexander</au><au>Mayer, Barbara</au><aucorp>Behalf of the SpheroNEO Study Group</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prospective cohort study using the breast cancer spheroid model as a predictor for response to neoadjuvant therapy--the SpheroNEO study</atitle><jtitle>BMC cancer</jtitle><addtitle>BMC Cancer</addtitle><date>2015-07-15</date><risdate>2015</risdate><volume>15</volume><issue>1</issue><spage>519</spage><epage>519</epage><pages>519-519</pages><artnum>519</artnum><issn>1471-2407</issn><eissn>1471-2407</eissn><abstract>Aim of this prospective study was to predict response to neoadjuvant therapy in breast cancer patients using an in vitro breast cancer spheroid model.
Three-dimensional spheroids were directly generated from fresh breast tumor biopsies of 78 patients eligible for neoadjuvant therapy. Cell survival was measured after in vitro exposure to the equivalent therapeutic agents in the breast cancer spheroid model. Treatment results in vitro were correlated with pathological complete response (pCR, i.e. ypT0 ypN0) determined at surgery.
A mean cell survival of 21.8 % was found in the breast cancer spheroid model for 22 patients with pCR versus 63.8 % in 56 patients without pCR (P = .001). The area under the receiver operator characteristic curve to predict pCR was 0.86 (95 % CI: 0.77 to 0.96) for cell survival in vitro compared to 0.80 (95 % CI: 0.70 to 0.90) for a combined model of conventional factors (hormone- and HER2 receptor, and age). A cutoff at 35 % cell survival for the spheroid model was proposed. Out of the 32 patients with values below this threshold, 21 patients (65.6 %) and one patient (2.2 %) with a cell survival greater than 35 % achieved pCR respectively; (sensitivity 95.5 % (95 % CI: 0.86 to 1.00); specificity 80.4 % (95 % CI: 0.70 to 0.91)). Extent of residual disease positively correlated with increased cell survival (P = .021).
The breast cancer spheroid model proved to be a highly sensitive and specific predictor for pCR after neoadjuvant chemotherapy in breast cancer patients.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>26169261</pmid><doi>10.1186/s12885-015-1491-7</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1471-2407 |
ispartof | BMC cancer, 2015-07, Vol.15 (1), p.519-519, Article 519 |
issn | 1471-2407 1471-2407 |
language | eng |
recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4501185 |
source | MEDLINE; DOAJ Directory of Open Access Journals; SpringerLink Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; PubMed Central Open Access; Springer Nature OA Free Journals |
subjects | Adult Aged Antineoplastic Agents - pharmacology Antineoplastic Agents - therapeutic use Biomarkers Biomarkers, Tumor Biopsy Breast cancer Breast Neoplasms - drug therapy Breast Neoplasms - metabolism Breast Neoplasms - mortality Breast Neoplasms - pathology Cancer therapies Care and treatment Chemotherapy Clinical outcomes Cohort analysis Cohort Studies Drug dosages Female Health aspects Humans In Vitro Techniques Laboratories Metabolism Middle Aged Neoadjuvant Therapy Neoplasm Grading Neoplasm Metastasis Neoplasm Staging Odds Ratio Patient outcomes Patients Prognosis Prospective Studies ROC Curve Spheroids, Cellular Tumor Cells, Cultured Tumors Young Adult |
title | Prospective cohort study using the breast cancer spheroid model as a predictor for response to neoadjuvant therapy--the SpheroNEO study |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-09T02%3A06%3A11IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Prospective%20cohort%20study%20using%20the%20breast%20cancer%20spheroid%20model%20as%20a%20predictor%20for%20response%20to%20neoadjuvant%20therapy--the%20SpheroNEO%20study&rft.jtitle=BMC%20cancer&rft.au=Halfter,%20Kathrin&rft.aucorp=Behalf%20of%20the%20SpheroNEO%20Study%20Group&rft.date=2015-07-15&rft.volume=15&rft.issue=1&rft.spage=519&rft.epage=519&rft.pages=519-519&rft.artnum=519&rft.issn=1471-2407&rft.eissn=1471-2407&rft_id=info:doi/10.1186/s12885-015-1491-7&rft_dat=%3Cgale_pubme%3EA541402328%3C/gale_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1780766806&rft_id=info:pmid/26169261&rft_galeid=A541402328&rfr_iscdi=true |