Association of adiposity, dysmetabolisms, and inflammation with aggressive breast cancer subtypes: a cross-sectional study
Abstract Obesity and metabolic syndrome are risk and prognostic factors for breast cancer (BC) and are associated with chronic inflammation. We investigated the association between distinct BC subtypes and markers of adiposity, dysmetabolisms, and inflammation. We analyzed 1779 patients with primary...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Agresti, Roberto [verfasserIn] Meneghini, Elisabetta [verfasserIn] Baili, Paolo [verfasserIn] Minicozzi, Pamela [verfasserIn] Turco, Alberto [verfasserIn] Cavallo, Ilaria [verfasserIn] Funaro, Francesco [verfasserIn] Amash, Hade [verfasserIn] Berrino, Franco [verfasserIn] Tagliabue, Elda [verfasserIn] Sant, Milena [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2016 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Breast cancer research and treatment - Dordrecht [u.a.] : Springer Science + Business Media B.V., 1981, 157(2016), 1 vom: 27. Apr., Seite 179-189 |
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| Übergeordnetes Werk: |
volume:157 ; year:2016 ; number:1 ; day:27 ; month:04 ; pages:179-189 |
| Links: |
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| DOI / URN: |
10.1007/s10549-016-3802-3 |
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| Katalog-ID: |
SPR01110404X |
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| 245 | 1 | 0 | |a Association of adiposity, dysmetabolisms, and inflammation with aggressive breast cancer subtypes: a cross-sectional study |
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| 520 | |a Abstract Obesity and metabolic syndrome are risk and prognostic factors for breast cancer (BC) and are associated with chronic inflammation. We investigated the association between distinct BC subtypes and markers of adiposity, dysmetabolisms, and inflammation. We analyzed 1779 patients with primary invasive BC treated at a single institution, for whom anthropometric and clinical-pathological data were archived. BC subtypes were classified by immunohistochemical staining of ER, PR, HER2, and Ki67, and their relations with the study markers were assessed by multinomial logistic regression. Adjusted odds ratios (ORs) and 95 % confidence intervals (CIs) were calculated taking luminal A as reference. All subtypes more aggressive than luminal A were significantly more frequent in younger (<45 years) than older women. Before menopause, luminal B HER2-negative tumors were positively associated with large waist (OR 2.55, 95 % CI 1.53–4.24) and insulin resistance (OR 1.90, 95 % CI 1.05–3.41); luminal B HER2-positive tumors with large waist (OR 2.11, 95 % CI 1.03–4.35) and triple-negative tumors with overweight (OR 3.04, 95 % CI 1.43–6.43) and high C-reactive protein (p trend = 0.026). In postmenopausal women aged <65, luminal B HER2-negative (OR 1.94, 95 % CI 1.16–3.24) and luminal B HER2-positive tumors (OR 2.48, 95 % CI 1.16–5.27) were positively related with metabolic syndrome. Dysmetabolisms and inflammation may be related to different BC subtypes. Before menopause, triple-negative cancers were related to obesity and chronic inflammation, and aggressive luminal subtypes to abdominal adiposity. After menopause, in women aged <65 these latter subtypes were related to metabolic syndrome. Control of adiposity and dysmetabolism can reduce the risk of aggressive BC subtypes, improving the prognosis. | ||
| 650 | 4 | |a Breast cancer subtype |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Adiposity |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Insulin resistance |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Metabolic syndrome |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Inflammation |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Meneghini, Elisabetta |e verfasserin |4 aut | |
| 700 | 1 | |a Baili, Paolo |e verfasserin |4 aut | |
| 700 | 1 | |a Minicozzi, Pamela |e verfasserin |4 aut | |
| 700 | 1 | |a Turco, Alberto |e verfasserin |4 aut | |
| 700 | 1 | |a Cavallo, Ilaria |e verfasserin |4 aut | |
| 700 | 1 | |a Funaro, Francesco |e verfasserin |4 aut | |
| 700 | 1 | |a Amash, Hade |e verfasserin |4 aut | |
| 700 | 1 | |a Berrino, Franco |e verfasserin |4 aut | |
| 700 | 1 | |a Tagliabue, Elda |e verfasserin |4 aut | |
| 700 | 1 | |a Sant, Milena |e verfasserin |4 aut | |
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10.1007/s10549-016-3802-3 doi (DE-627)SPR01110404X (SPR)s10549-016-3802-3-e DE-627 ger DE-627 rakwb eng 610 ASE 44.92 bkl Agresti, Roberto verfasserin aut Association of adiposity, dysmetabolisms, and inflammation with aggressive breast cancer subtypes: a cross-sectional study 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Obesity and metabolic syndrome are risk and prognostic factors for breast cancer (BC) and are associated with chronic inflammation. We investigated the association between distinct BC subtypes and markers of adiposity, dysmetabolisms, and inflammation. We analyzed 1779 patients with primary invasive BC treated at a single institution, for whom anthropometric and clinical-pathological data were archived. BC subtypes were classified by immunohistochemical staining of ER, PR, HER2, and Ki67, and their relations with the study markers were assessed by multinomial logistic regression. Adjusted odds ratios (ORs) and 95 % confidence intervals (CIs) were calculated taking luminal A as reference. All subtypes more aggressive than luminal A were significantly more frequent in younger (<45 years) than older women. Before menopause, luminal B HER2-negative tumors were positively associated with large waist (OR 2.55, 95 % CI 1.53–4.24) and insulin resistance (OR 1.90, 95 % CI 1.05–3.41); luminal B HER2-positive tumors with large waist (OR 2.11, 95 % CI 1.03–4.35) and triple-negative tumors with overweight (OR 3.04, 95 % CI 1.43–6.43) and high C-reactive protein (p trend = 0.026). In postmenopausal women aged <65, luminal B HER2-negative (OR 1.94, 95 % CI 1.16–3.24) and luminal B HER2-positive tumors (OR 2.48, 95 % CI 1.16–5.27) were positively related with metabolic syndrome. Dysmetabolisms and inflammation may be related to different BC subtypes. Before menopause, triple-negative cancers were related to obesity and chronic inflammation, and aggressive luminal subtypes to abdominal adiposity. After menopause, in women aged <65 these latter subtypes were related to metabolic syndrome. Control of adiposity and dysmetabolism can reduce the risk of aggressive BC subtypes, improving the prognosis. Breast cancer subtype (dpeaa)DE-He213 Adiposity (dpeaa)DE-He213 Insulin resistance (dpeaa)DE-He213 Metabolic syndrome (dpeaa)DE-He213 Inflammation (dpeaa)DE-He213 Meneghini, Elisabetta verfasserin aut Baili, Paolo verfasserin aut Minicozzi, Pamela verfasserin aut Turco, Alberto verfasserin aut Cavallo, Ilaria verfasserin aut Funaro, Francesco verfasserin aut Amash, Hade verfasserin aut Berrino, Franco verfasserin aut Tagliabue, Elda verfasserin aut Sant, Milena verfasserin aut Enthalten in Breast cancer research and treatment Dordrecht [u.a.] : Springer Science + Business Media B.V., 1981 157(2016), 1 vom: 27. Apr., Seite 179-189 (DE-627)320433722 (DE-600)2004077-5 1573-7217 nnns volume:157 year:2016 number:1 day:27 month:04 pages:179-189 https://dx.doi.org/10.1007/s10549-016-3802-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.92 ASE AR 157 2016 1 27 04 179-189 |
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10.1007/s10549-016-3802-3 doi (DE-627)SPR01110404X (SPR)s10549-016-3802-3-e DE-627 ger DE-627 rakwb eng 610 ASE 44.92 bkl Agresti, Roberto verfasserin aut Association of adiposity, dysmetabolisms, and inflammation with aggressive breast cancer subtypes: a cross-sectional study 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Obesity and metabolic syndrome are risk and prognostic factors for breast cancer (BC) and are associated with chronic inflammation. We investigated the association between distinct BC subtypes and markers of adiposity, dysmetabolisms, and inflammation. We analyzed 1779 patients with primary invasive BC treated at a single institution, for whom anthropometric and clinical-pathological data were archived. BC subtypes were classified by immunohistochemical staining of ER, PR, HER2, and Ki67, and their relations with the study markers were assessed by multinomial logistic regression. Adjusted odds ratios (ORs) and 95 % confidence intervals (CIs) were calculated taking luminal A as reference. All subtypes more aggressive than luminal A were significantly more frequent in younger (<45 years) than older women. Before menopause, luminal B HER2-negative tumors were positively associated with large waist (OR 2.55, 95 % CI 1.53–4.24) and insulin resistance (OR 1.90, 95 % CI 1.05–3.41); luminal B HER2-positive tumors with large waist (OR 2.11, 95 % CI 1.03–4.35) and triple-negative tumors with overweight (OR 3.04, 95 % CI 1.43–6.43) and high C-reactive protein (p trend = 0.026). In postmenopausal women aged <65, luminal B HER2-negative (OR 1.94, 95 % CI 1.16–3.24) and luminal B HER2-positive tumors (OR 2.48, 95 % CI 1.16–5.27) were positively related with metabolic syndrome. Dysmetabolisms and inflammation may be related to different BC subtypes. Before menopause, triple-negative cancers were related to obesity and chronic inflammation, and aggressive luminal subtypes to abdominal adiposity. After menopause, in women aged <65 these latter subtypes were related to metabolic syndrome. Control of adiposity and dysmetabolism can reduce the risk of aggressive BC subtypes, improving the prognosis. Breast cancer subtype (dpeaa)DE-He213 Adiposity (dpeaa)DE-He213 Insulin resistance (dpeaa)DE-He213 Metabolic syndrome (dpeaa)DE-He213 Inflammation (dpeaa)DE-He213 Meneghini, Elisabetta verfasserin aut Baili, Paolo verfasserin aut Minicozzi, Pamela verfasserin aut Turco, Alberto verfasserin aut Cavallo, Ilaria verfasserin aut Funaro, Francesco verfasserin aut Amash, Hade verfasserin aut Berrino, Franco verfasserin aut Tagliabue, Elda verfasserin aut Sant, Milena verfasserin aut Enthalten in Breast cancer research and treatment Dordrecht [u.a.] : Springer Science + Business Media B.V., 1981 157(2016), 1 vom: 27. Apr., Seite 179-189 (DE-627)320433722 (DE-600)2004077-5 1573-7217 nnns volume:157 year:2016 number:1 day:27 month:04 pages:179-189 https://dx.doi.org/10.1007/s10549-016-3802-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.92 ASE AR 157 2016 1 27 04 179-189 |
| allfields_unstemmed |
10.1007/s10549-016-3802-3 doi (DE-627)SPR01110404X (SPR)s10549-016-3802-3-e DE-627 ger DE-627 rakwb eng 610 ASE 44.92 bkl Agresti, Roberto verfasserin aut Association of adiposity, dysmetabolisms, and inflammation with aggressive breast cancer subtypes: a cross-sectional study 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Obesity and metabolic syndrome are risk and prognostic factors for breast cancer (BC) and are associated with chronic inflammation. We investigated the association between distinct BC subtypes and markers of adiposity, dysmetabolisms, and inflammation. We analyzed 1779 patients with primary invasive BC treated at a single institution, for whom anthropometric and clinical-pathological data were archived. BC subtypes were classified by immunohistochemical staining of ER, PR, HER2, and Ki67, and their relations with the study markers were assessed by multinomial logistic regression. Adjusted odds ratios (ORs) and 95 % confidence intervals (CIs) were calculated taking luminal A as reference. All subtypes more aggressive than luminal A were significantly more frequent in younger (<45 years) than older women. Before menopause, luminal B HER2-negative tumors were positively associated with large waist (OR 2.55, 95 % CI 1.53–4.24) and insulin resistance (OR 1.90, 95 % CI 1.05–3.41); luminal B HER2-positive tumors with large waist (OR 2.11, 95 % CI 1.03–4.35) and triple-negative tumors with overweight (OR 3.04, 95 % CI 1.43–6.43) and high C-reactive protein (p trend = 0.026). In postmenopausal women aged <65, luminal B HER2-negative (OR 1.94, 95 % CI 1.16–3.24) and luminal B HER2-positive tumors (OR 2.48, 95 % CI 1.16–5.27) were positively related with metabolic syndrome. Dysmetabolisms and inflammation may be related to different BC subtypes. Before menopause, triple-negative cancers were related to obesity and chronic inflammation, and aggressive luminal subtypes to abdominal adiposity. After menopause, in women aged <65 these latter subtypes were related to metabolic syndrome. Control of adiposity and dysmetabolism can reduce the risk of aggressive BC subtypes, improving the prognosis. Breast cancer subtype (dpeaa)DE-He213 Adiposity (dpeaa)DE-He213 Insulin resistance (dpeaa)DE-He213 Metabolic syndrome (dpeaa)DE-He213 Inflammation (dpeaa)DE-He213 Meneghini, Elisabetta verfasserin aut Baili, Paolo verfasserin aut Minicozzi, Pamela verfasserin aut Turco, Alberto verfasserin aut Cavallo, Ilaria verfasserin aut Funaro, Francesco verfasserin aut Amash, Hade verfasserin aut Berrino, Franco verfasserin aut Tagliabue, Elda verfasserin aut Sant, Milena verfasserin aut Enthalten in Breast cancer research and treatment Dordrecht [u.a.] : Springer Science + Business Media B.V., 1981 157(2016), 1 vom: 27. Apr., Seite 179-189 (DE-627)320433722 (DE-600)2004077-5 1573-7217 nnns volume:157 year:2016 number:1 day:27 month:04 pages:179-189 https://dx.doi.org/10.1007/s10549-016-3802-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.92 ASE AR 157 2016 1 27 04 179-189 |
| allfieldsGer |
10.1007/s10549-016-3802-3 doi (DE-627)SPR01110404X (SPR)s10549-016-3802-3-e DE-627 ger DE-627 rakwb eng 610 ASE 44.92 bkl Agresti, Roberto verfasserin aut Association of adiposity, dysmetabolisms, and inflammation with aggressive breast cancer subtypes: a cross-sectional study 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Obesity and metabolic syndrome are risk and prognostic factors for breast cancer (BC) and are associated with chronic inflammation. We investigated the association between distinct BC subtypes and markers of adiposity, dysmetabolisms, and inflammation. We analyzed 1779 patients with primary invasive BC treated at a single institution, for whom anthropometric and clinical-pathological data were archived. BC subtypes were classified by immunohistochemical staining of ER, PR, HER2, and Ki67, and their relations with the study markers were assessed by multinomial logistic regression. Adjusted odds ratios (ORs) and 95 % confidence intervals (CIs) were calculated taking luminal A as reference. All subtypes more aggressive than luminal A were significantly more frequent in younger (<45 years) than older women. Before menopause, luminal B HER2-negative tumors were positively associated with large waist (OR 2.55, 95 % CI 1.53–4.24) and insulin resistance (OR 1.90, 95 % CI 1.05–3.41); luminal B HER2-positive tumors with large waist (OR 2.11, 95 % CI 1.03–4.35) and triple-negative tumors with overweight (OR 3.04, 95 % CI 1.43–6.43) and high C-reactive protein (p trend = 0.026). In postmenopausal women aged <65, luminal B HER2-negative (OR 1.94, 95 % CI 1.16–3.24) and luminal B HER2-positive tumors (OR 2.48, 95 % CI 1.16–5.27) were positively related with metabolic syndrome. Dysmetabolisms and inflammation may be related to different BC subtypes. Before menopause, triple-negative cancers were related to obesity and chronic inflammation, and aggressive luminal subtypes to abdominal adiposity. After menopause, in women aged <65 these latter subtypes were related to metabolic syndrome. Control of adiposity and dysmetabolism can reduce the risk of aggressive BC subtypes, improving the prognosis. Breast cancer subtype (dpeaa)DE-He213 Adiposity (dpeaa)DE-He213 Insulin resistance (dpeaa)DE-He213 Metabolic syndrome (dpeaa)DE-He213 Inflammation (dpeaa)DE-He213 Meneghini, Elisabetta verfasserin aut Baili, Paolo verfasserin aut Minicozzi, Pamela verfasserin aut Turco, Alberto verfasserin aut Cavallo, Ilaria verfasserin aut Funaro, Francesco verfasserin aut Amash, Hade verfasserin aut Berrino, Franco verfasserin aut Tagliabue, Elda verfasserin aut Sant, Milena verfasserin aut Enthalten in Breast cancer research and treatment Dordrecht [u.a.] : Springer Science + Business Media B.V., 1981 157(2016), 1 vom: 27. Apr., Seite 179-189 (DE-627)320433722 (DE-600)2004077-5 1573-7217 nnns volume:157 year:2016 number:1 day:27 month:04 pages:179-189 https://dx.doi.org/10.1007/s10549-016-3802-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.92 ASE AR 157 2016 1 27 04 179-189 |
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10.1007/s10549-016-3802-3 doi (DE-627)SPR01110404X (SPR)s10549-016-3802-3-e DE-627 ger DE-627 rakwb eng 610 ASE 44.92 bkl Agresti, Roberto verfasserin aut Association of adiposity, dysmetabolisms, and inflammation with aggressive breast cancer subtypes: a cross-sectional study 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Obesity and metabolic syndrome are risk and prognostic factors for breast cancer (BC) and are associated with chronic inflammation. We investigated the association between distinct BC subtypes and markers of adiposity, dysmetabolisms, and inflammation. We analyzed 1779 patients with primary invasive BC treated at a single institution, for whom anthropometric and clinical-pathological data were archived. BC subtypes were classified by immunohistochemical staining of ER, PR, HER2, and Ki67, and their relations with the study markers were assessed by multinomial logistic regression. Adjusted odds ratios (ORs) and 95 % confidence intervals (CIs) were calculated taking luminal A as reference. All subtypes more aggressive than luminal A were significantly more frequent in younger (<45 years) than older women. Before menopause, luminal B HER2-negative tumors were positively associated with large waist (OR 2.55, 95 % CI 1.53–4.24) and insulin resistance (OR 1.90, 95 % CI 1.05–3.41); luminal B HER2-positive tumors with large waist (OR 2.11, 95 % CI 1.03–4.35) and triple-negative tumors with overweight (OR 3.04, 95 % CI 1.43–6.43) and high C-reactive protein (p trend = 0.026). In postmenopausal women aged <65, luminal B HER2-negative (OR 1.94, 95 % CI 1.16–3.24) and luminal B HER2-positive tumors (OR 2.48, 95 % CI 1.16–5.27) were positively related with metabolic syndrome. Dysmetabolisms and inflammation may be related to different BC subtypes. Before menopause, triple-negative cancers were related to obesity and chronic inflammation, and aggressive luminal subtypes to abdominal adiposity. After menopause, in women aged <65 these latter subtypes were related to metabolic syndrome. Control of adiposity and dysmetabolism can reduce the risk of aggressive BC subtypes, improving the prognosis. Breast cancer subtype (dpeaa)DE-He213 Adiposity (dpeaa)DE-He213 Insulin resistance (dpeaa)DE-He213 Metabolic syndrome (dpeaa)DE-He213 Inflammation (dpeaa)DE-He213 Meneghini, Elisabetta verfasserin aut Baili, Paolo verfasserin aut Minicozzi, Pamela verfasserin aut Turco, Alberto verfasserin aut Cavallo, Ilaria verfasserin aut Funaro, Francesco verfasserin aut Amash, Hade verfasserin aut Berrino, Franco verfasserin aut Tagliabue, Elda verfasserin aut Sant, Milena verfasserin aut Enthalten in Breast cancer research and treatment Dordrecht [u.a.] : Springer Science + Business Media B.V., 1981 157(2016), 1 vom: 27. Apr., Seite 179-189 (DE-627)320433722 (DE-600)2004077-5 1573-7217 nnns volume:157 year:2016 number:1 day:27 month:04 pages:179-189 https://dx.doi.org/10.1007/s10549-016-3802-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.92 ASE AR 157 2016 1 27 04 179-189 |
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Enthalten in Breast cancer research and treatment 157(2016), 1 vom: 27. Apr., Seite 179-189 volume:157 year:2016 number:1 day:27 month:04 pages:179-189 |
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Agresti, Roberto @@aut@@ Meneghini, Elisabetta @@aut@@ Baili, Paolo @@aut@@ Minicozzi, Pamela @@aut@@ Turco, Alberto @@aut@@ Cavallo, Ilaria @@aut@@ Funaro, Francesco @@aut@@ Amash, Hade @@aut@@ Berrino, Franco @@aut@@ Tagliabue, Elda @@aut@@ Sant, Milena @@aut@@ |
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Agresti, Roberto |
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Agresti, Roberto ddc 610 bkl 44.92 misc Breast cancer subtype misc Adiposity misc Insulin resistance misc Metabolic syndrome misc Inflammation Association of adiposity, dysmetabolisms, and inflammation with aggressive breast cancer subtypes: a cross-sectional study |
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610 ASE 44.92 bkl Association of adiposity, dysmetabolisms, and inflammation with aggressive breast cancer subtypes: a cross-sectional study Breast cancer subtype (dpeaa)DE-He213 Adiposity (dpeaa)DE-He213 Insulin resistance (dpeaa)DE-He213 Metabolic syndrome (dpeaa)DE-He213 Inflammation (dpeaa)DE-He213 |
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ddc 610 bkl 44.92 misc Breast cancer subtype misc Adiposity misc Insulin resistance misc Metabolic syndrome misc Inflammation |
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ddc 610 bkl 44.92 misc Breast cancer subtype misc Adiposity misc Insulin resistance misc Metabolic syndrome misc Inflammation |
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Association of adiposity, dysmetabolisms, and inflammation with aggressive breast cancer subtypes: a cross-sectional study |
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Association of adiposity, dysmetabolisms, and inflammation with aggressive breast cancer subtypes: a cross-sectional study |
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Agresti, Roberto |
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Breast cancer research and treatment |
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Agresti, Roberto Meneghini, Elisabetta Baili, Paolo Minicozzi, Pamela Turco, Alberto Cavallo, Ilaria Funaro, Francesco Amash, Hade Berrino, Franco Tagliabue, Elda Sant, Milena |
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10.1007/s10549-016-3802-3 |
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association of adiposity, dysmetabolisms, and inflammation with aggressive breast cancer subtypes: a cross-sectional study |
| title_auth |
Association of adiposity, dysmetabolisms, and inflammation with aggressive breast cancer subtypes: a cross-sectional study |
| abstract |
Abstract Obesity and metabolic syndrome are risk and prognostic factors for breast cancer (BC) and are associated with chronic inflammation. We investigated the association between distinct BC subtypes and markers of adiposity, dysmetabolisms, and inflammation. We analyzed 1779 patients with primary invasive BC treated at a single institution, for whom anthropometric and clinical-pathological data were archived. BC subtypes were classified by immunohistochemical staining of ER, PR, HER2, and Ki67, and their relations with the study markers were assessed by multinomial logistic regression. Adjusted odds ratios (ORs) and 95 % confidence intervals (CIs) were calculated taking luminal A as reference. All subtypes more aggressive than luminal A were significantly more frequent in younger (<45 years) than older women. Before menopause, luminal B HER2-negative tumors were positively associated with large waist (OR 2.55, 95 % CI 1.53–4.24) and insulin resistance (OR 1.90, 95 % CI 1.05–3.41); luminal B HER2-positive tumors with large waist (OR 2.11, 95 % CI 1.03–4.35) and triple-negative tumors with overweight (OR 3.04, 95 % CI 1.43–6.43) and high C-reactive protein (p trend = 0.026). In postmenopausal women aged <65, luminal B HER2-negative (OR 1.94, 95 % CI 1.16–3.24) and luminal B HER2-positive tumors (OR 2.48, 95 % CI 1.16–5.27) were positively related with metabolic syndrome. Dysmetabolisms and inflammation may be related to different BC subtypes. Before menopause, triple-negative cancers were related to obesity and chronic inflammation, and aggressive luminal subtypes to abdominal adiposity. After menopause, in women aged <65 these latter subtypes were related to metabolic syndrome. Control of adiposity and dysmetabolism can reduce the risk of aggressive BC subtypes, improving the prognosis. |
| abstractGer |
Abstract Obesity and metabolic syndrome are risk and prognostic factors for breast cancer (BC) and are associated with chronic inflammation. We investigated the association between distinct BC subtypes and markers of adiposity, dysmetabolisms, and inflammation. We analyzed 1779 patients with primary invasive BC treated at a single institution, for whom anthropometric and clinical-pathological data were archived. BC subtypes were classified by immunohistochemical staining of ER, PR, HER2, and Ki67, and their relations with the study markers were assessed by multinomial logistic regression. Adjusted odds ratios (ORs) and 95 % confidence intervals (CIs) were calculated taking luminal A as reference. All subtypes more aggressive than luminal A were significantly more frequent in younger (<45 years) than older women. Before menopause, luminal B HER2-negative tumors were positively associated with large waist (OR 2.55, 95 % CI 1.53–4.24) and insulin resistance (OR 1.90, 95 % CI 1.05–3.41); luminal B HER2-positive tumors with large waist (OR 2.11, 95 % CI 1.03–4.35) and triple-negative tumors with overweight (OR 3.04, 95 % CI 1.43–6.43) and high C-reactive protein (p trend = 0.026). In postmenopausal women aged <65, luminal B HER2-negative (OR 1.94, 95 % CI 1.16–3.24) and luminal B HER2-positive tumors (OR 2.48, 95 % CI 1.16–5.27) were positively related with metabolic syndrome. Dysmetabolisms and inflammation may be related to different BC subtypes. Before menopause, triple-negative cancers were related to obesity and chronic inflammation, and aggressive luminal subtypes to abdominal adiposity. After menopause, in women aged <65 these latter subtypes were related to metabolic syndrome. Control of adiposity and dysmetabolism can reduce the risk of aggressive BC subtypes, improving the prognosis. |
| abstract_unstemmed |
Abstract Obesity and metabolic syndrome are risk and prognostic factors for breast cancer (BC) and are associated with chronic inflammation. We investigated the association between distinct BC subtypes and markers of adiposity, dysmetabolisms, and inflammation. We analyzed 1779 patients with primary invasive BC treated at a single institution, for whom anthropometric and clinical-pathological data were archived. BC subtypes were classified by immunohistochemical staining of ER, PR, HER2, and Ki67, and their relations with the study markers were assessed by multinomial logistic regression. Adjusted odds ratios (ORs) and 95 % confidence intervals (CIs) were calculated taking luminal A as reference. All subtypes more aggressive than luminal A were significantly more frequent in younger (<45 years) than older women. Before menopause, luminal B HER2-negative tumors were positively associated with large waist (OR 2.55, 95 % CI 1.53–4.24) and insulin resistance (OR 1.90, 95 % CI 1.05–3.41); luminal B HER2-positive tumors with large waist (OR 2.11, 95 % CI 1.03–4.35) and triple-negative tumors with overweight (OR 3.04, 95 % CI 1.43–6.43) and high C-reactive protein (p trend = 0.026). In postmenopausal women aged <65, luminal B HER2-negative (OR 1.94, 95 % CI 1.16–3.24) and luminal B HER2-positive tumors (OR 2.48, 95 % CI 1.16–5.27) were positively related with metabolic syndrome. Dysmetabolisms and inflammation may be related to different BC subtypes. Before menopause, triple-negative cancers were related to obesity and chronic inflammation, and aggressive luminal subtypes to abdominal adiposity. After menopause, in women aged <65 these latter subtypes were related to metabolic syndrome. Control of adiposity and dysmetabolism can reduce the risk of aggressive BC subtypes, improving the prognosis. |
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Association of adiposity, dysmetabolisms, and inflammation with aggressive breast cancer subtypes: a cross-sectional study |
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Meneghini, Elisabetta Baili, Paolo Minicozzi, Pamela Turco, Alberto Cavallo, Ilaria Funaro, Francesco Amash, Hade Berrino, Franco Tagliabue, Elda Sant, Milena |
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Meneghini, Elisabetta Baili, Paolo Minicozzi, Pamela Turco, Alberto Cavallo, Ilaria Funaro, Francesco Amash, Hade Berrino, Franco Tagliabue, Elda Sant, Milena |
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