Diet and lifestyle factors interact with MAPK genes to influence survival: the Breast Cancer Health Disparities Study

Introduction MAPK genes are activated by a variety of factors related to growth factors, hormones, and environmental stress. Methods We evaluated associations between 13 MAPK genes and survival among 1,187 nonHispanic White and 1,155 Hispanic/Native American (NA) women diagnosed with breast cancer....
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Gespeichert in:

Autor*in:	Slattery, Martha L. [verfasserIn] Hines, Lisa H. [verfasserIn] Lundgreen, Abbie [verfasserIn] Baumgartner, Kathy B. [verfasserIn] Wolff, Roger K. [verfasserIn] Stern, Mariana C. [verfasserIn] John, Esther M. [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2014

Schlagwörter:	Breast cancer Survival MAPK Diet Alcohol Cigarette smoking

Übergeordnetes Werk:	Enthalten in: Cancer causes & control - Dordrecht [u.a.] : Springer Science + Business Media B.V., 1990, 25(2014), 9 vom: 04. Juli, Seite 1211-1225
Übergeordnetes Werk:	volume:25 ; year:2014 ; number:9 ; day:04 ; month:07 ; pages:1211-1225

Links:	Volltext

DOI / URN:	10.1007/s10552-014-0426-y

Katalog-ID:	SPR011198192

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245	1	0	\|a Diet and lifestyle factors interact with MAPK genes to influence survival: the Breast Cancer Health Disparities Study
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520			\|a Introduction MAPK genes are activated by a variety of factors related to growth factors, hormones, and environmental stress. Methods We evaluated associations between 13 MAPK genes and survival among 1,187 nonHispanic White and 1,155 Hispanic/Native American (NA) women diagnosed with breast cancer. We assessed the influence of diet, lifestyle, and genetic ancestry on these associations. Percent NA ancestry was determined from 104 Ancestry Informative Markers. Adaptive rank truncation product (ARTP) was used to determine gene and pathway significance. Results Associations were predominantly observed among women with lower NA ancestry. Specifically, the mitogen-activated protein kinases (MAPK) pathway was associated with all-cause mortality (PARTP = 0.02), but not with breast cancer-specific mortality (PARTP = 0.10). However, MAP2K1 and MAP3K9 were associated with both breast cancer-specific and all-cause mortality. MAPK12 (PARTP = 0.05) was only associated with breast cancer-specific mortality, and MAP3K1 (PARTP = 0.02) and MAPK1 (PARTP = 0.05) were only associated with all-cause mortality. Among women with higher NA ancestry, MAP3K2 was significantly associated with all-cause mortality (PARTP = 0.04). Several diet and lifestyle factors, including alcohol consumption, caloric intake, dietary folate, and cigarette smoking, significantly modified the associations with MAPK genes and all-cause mortality. Conclusions Our study supports an association between MAPK genes and survival after diagnosis with breast cancer, especially among women with low NA ancestry. The interaction between genetic variation in the MAPK pathway with diet and lifestyle factors for all women supports the important role of these factors for breast cancer survivorship.
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650		4	\|a Survival \|7 (dpeaa)DE-He213
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650		4	\|a Alcohol \|7 (dpeaa)DE-He213
650		4	\|a Cigarette smoking \|7 (dpeaa)DE-He213
700	1		\|a Hines, Lisa H. \|e verfasserin \|4 aut
700	1		\|a Lundgreen, Abbie \|e verfasserin \|4 aut
700	1		\|a Baumgartner, Kathy B. \|e verfasserin \|4 aut
700	1		\|a Wolff, Roger K. \|e verfasserin \|4 aut
700	1		\|a Stern, Mariana C. \|e verfasserin \|4 aut
700	1		\|a John, Esther M. \|e verfasserin \|4 aut
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Indexfelder

author_variant	m l s ml mls l h h lh lhh a l al k b b kb kbb r k w rk rkw m c s mc mcs e m j em emj
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hierarchy_sort_str	2014
bklnumber	44.81
publishDate	2014
allfields	10.1007/s10552-014-0426-y doi (DE-627)SPR011198192 (SPR)s10552-014-0426-y-e DE-627 ger DE-627 rakwb eng 610 ASE 44.81 bkl Slattery, Martha L. verfasserin aut Diet and lifestyle factors interact with MAPK genes to influence survival: the Breast Cancer Health Disparities Study 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Introduction MAPK genes are activated by a variety of factors related to growth factors, hormones, and environmental stress. Methods We evaluated associations between 13 MAPK genes and survival among 1,187 nonHispanic White and 1,155 Hispanic/Native American (NA) women diagnosed with breast cancer. We assessed the influence of diet, lifestyle, and genetic ancestry on these associations. Percent NA ancestry was determined from 104 Ancestry Informative Markers. Adaptive rank truncation product (ARTP) was used to determine gene and pathway significance. Results Associations were predominantly observed among women with lower NA ancestry. Specifically, the mitogen-activated protein kinases (MAPK) pathway was associated with all-cause mortality (PARTP = 0.02), but not with breast cancer-specific mortality (PARTP = 0.10). However, MAP2K1 and MAP3K9 were associated with both breast cancer-specific and all-cause mortality. MAPK12 (PARTP = 0.05) was only associated with breast cancer-specific mortality, and MAP3K1 (PARTP = 0.02) and MAPK1 (PARTP = 0.05) were only associated with all-cause mortality. Among women with higher NA ancestry, MAP3K2 was significantly associated with all-cause mortality (PARTP = 0.04). Several diet and lifestyle factors, including alcohol consumption, caloric intake, dietary folate, and cigarette smoking, significantly modified the associations with MAPK genes and all-cause mortality. Conclusions Our study supports an association between MAPK genes and survival after diagnosis with breast cancer, especially among women with low NA ancestry. The interaction between genetic variation in the MAPK pathway with diet and lifestyle factors for all women supports the important role of these factors for breast cancer survivorship. Breast cancer (dpeaa)DE-He213 Survival (dpeaa)DE-He213 MAPK (dpeaa)DE-He213 Diet (dpeaa)DE-He213 Alcohol (dpeaa)DE-He213 Cigarette smoking (dpeaa)DE-He213 Hines, Lisa H. verfasserin aut Lundgreen, Abbie verfasserin aut Baumgartner, Kathy B. verfasserin aut Wolff, Roger K. verfasserin aut Stern, Mariana C. verfasserin aut John, Esther M. verfasserin aut Enthalten in Cancer causes & control Dordrecht [u.a.] : Springer Science + Business Media B.V., 1990 25(2014), 9 vom: 04. Juli, Seite 1211-1225 (DE-627)306324288 (DE-600)1496544-6 1573-7225 nnns volume:25 year:2014 number:9 day:04 month:07 pages:1211-1225 https://dx.doi.org/10.1007/s10552-014-0426-y 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_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_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 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_2018 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_2943 GBV_ILN_2946 GBV_ILN_2949 GBV_ILN_2951 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_4346 GBV_ILN_4393 GBV_ILN_4700 44.81 ASE AR 25 2014 9 04 07 1211-1225
spelling	10.1007/s10552-014-0426-y doi (DE-627)SPR011198192 (SPR)s10552-014-0426-y-e DE-627 ger DE-627 rakwb eng 610 ASE 44.81 bkl Slattery, Martha L. verfasserin aut Diet and lifestyle factors interact with MAPK genes to influence survival: the Breast Cancer Health Disparities Study 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Introduction MAPK genes are activated by a variety of factors related to growth factors, hormones, and environmental stress. Methods We evaluated associations between 13 MAPK genes and survival among 1,187 nonHispanic White and 1,155 Hispanic/Native American (NA) women diagnosed with breast cancer. We assessed the influence of diet, lifestyle, and genetic ancestry on these associations. Percent NA ancestry was determined from 104 Ancestry Informative Markers. Adaptive rank truncation product (ARTP) was used to determine gene and pathway significance. Results Associations were predominantly observed among women with lower NA ancestry. Specifically, the mitogen-activated protein kinases (MAPK) pathway was associated with all-cause mortality (PARTP = 0.02), but not with breast cancer-specific mortality (PARTP = 0.10). However, MAP2K1 and MAP3K9 were associated with both breast cancer-specific and all-cause mortality. MAPK12 (PARTP = 0.05) was only associated with breast cancer-specific mortality, and MAP3K1 (PARTP = 0.02) and MAPK1 (PARTP = 0.05) were only associated with all-cause mortality. Among women with higher NA ancestry, MAP3K2 was significantly associated with all-cause mortality (PARTP = 0.04). Several diet and lifestyle factors, including alcohol consumption, caloric intake, dietary folate, and cigarette smoking, significantly modified the associations with MAPK genes and all-cause mortality. Conclusions Our study supports an association between MAPK genes and survival after diagnosis with breast cancer, especially among women with low NA ancestry. The interaction between genetic variation in the MAPK pathway with diet and lifestyle factors for all women supports the important role of these factors for breast cancer survivorship. Breast cancer (dpeaa)DE-He213 Survival (dpeaa)DE-He213 MAPK (dpeaa)DE-He213 Diet (dpeaa)DE-He213 Alcohol (dpeaa)DE-He213 Cigarette smoking (dpeaa)DE-He213 Hines, Lisa H. verfasserin aut Lundgreen, Abbie verfasserin aut Baumgartner, Kathy B. verfasserin aut Wolff, Roger K. verfasserin aut Stern, Mariana C. verfasserin aut John, Esther M. verfasserin aut Enthalten in Cancer causes & control Dordrecht [u.a.] : Springer Science + Business Media B.V., 1990 25(2014), 9 vom: 04. Juli, Seite 1211-1225 (DE-627)306324288 (DE-600)1496544-6 1573-7225 nnns volume:25 year:2014 number:9 day:04 month:07 pages:1211-1225 https://dx.doi.org/10.1007/s10552-014-0426-y 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_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_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 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_2018 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_2943 GBV_ILN_2946 GBV_ILN_2949 GBV_ILN_2951 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_4346 GBV_ILN_4393 GBV_ILN_4700 44.81 ASE AR 25 2014 9 04 07 1211-1225
allfields_unstemmed	10.1007/s10552-014-0426-y doi (DE-627)SPR011198192 (SPR)s10552-014-0426-y-e DE-627 ger DE-627 rakwb eng 610 ASE 44.81 bkl Slattery, Martha L. verfasserin aut Diet and lifestyle factors interact with MAPK genes to influence survival: the Breast Cancer Health Disparities Study 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Introduction MAPK genes are activated by a variety of factors related to growth factors, hormones, and environmental stress. Methods We evaluated associations between 13 MAPK genes and survival among 1,187 nonHispanic White and 1,155 Hispanic/Native American (NA) women diagnosed with breast cancer. We assessed the influence of diet, lifestyle, and genetic ancestry on these associations. Percent NA ancestry was determined from 104 Ancestry Informative Markers. Adaptive rank truncation product (ARTP) was used to determine gene and pathway significance. Results Associations were predominantly observed among women with lower NA ancestry. Specifically, the mitogen-activated protein kinases (MAPK) pathway was associated with all-cause mortality (PARTP = 0.02), but not with breast cancer-specific mortality (PARTP = 0.10). However, MAP2K1 and MAP3K9 were associated with both breast cancer-specific and all-cause mortality. MAPK12 (PARTP = 0.05) was only associated with breast cancer-specific mortality, and MAP3K1 (PARTP = 0.02) and MAPK1 (PARTP = 0.05) were only associated with all-cause mortality. Among women with higher NA ancestry, MAP3K2 was significantly associated with all-cause mortality (PARTP = 0.04). Several diet and lifestyle factors, including alcohol consumption, caloric intake, dietary folate, and cigarette smoking, significantly modified the associations with MAPK genes and all-cause mortality. Conclusions Our study supports an association between MAPK genes and survival after diagnosis with breast cancer, especially among women with low NA ancestry. The interaction between genetic variation in the MAPK pathway with diet and lifestyle factors for all women supports the important role of these factors for breast cancer survivorship. Breast cancer (dpeaa)DE-He213 Survival (dpeaa)DE-He213 MAPK (dpeaa)DE-He213 Diet (dpeaa)DE-He213 Alcohol (dpeaa)DE-He213 Cigarette smoking (dpeaa)DE-He213 Hines, Lisa H. verfasserin aut Lundgreen, Abbie verfasserin aut Baumgartner, Kathy B. verfasserin aut Wolff, Roger K. verfasserin aut Stern, Mariana C. verfasserin aut John, Esther M. verfasserin aut Enthalten in Cancer causes & control Dordrecht [u.a.] : Springer Science + Business Media B.V., 1990 25(2014), 9 vom: 04. Juli, Seite 1211-1225 (DE-627)306324288 (DE-600)1496544-6 1573-7225 nnns volume:25 year:2014 number:9 day:04 month:07 pages:1211-1225 https://dx.doi.org/10.1007/s10552-014-0426-y 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_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_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 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_2018 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_2943 GBV_ILN_2946 GBV_ILN_2949 GBV_ILN_2951 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_4346 GBV_ILN_4393 GBV_ILN_4700 44.81 ASE AR 25 2014 9 04 07 1211-1225
allfieldsGer	10.1007/s10552-014-0426-y doi (DE-627)SPR011198192 (SPR)s10552-014-0426-y-e DE-627 ger DE-627 rakwb eng 610 ASE 44.81 bkl Slattery, Martha L. verfasserin aut Diet and lifestyle factors interact with MAPK genes to influence survival: the Breast Cancer Health Disparities Study 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Introduction MAPK genes are activated by a variety of factors related to growth factors, hormones, and environmental stress. Methods We evaluated associations between 13 MAPK genes and survival among 1,187 nonHispanic White and 1,155 Hispanic/Native American (NA) women diagnosed with breast cancer. We assessed the influence of diet, lifestyle, and genetic ancestry on these associations. Percent NA ancestry was determined from 104 Ancestry Informative Markers. Adaptive rank truncation product (ARTP) was used to determine gene and pathway significance. Results Associations were predominantly observed among women with lower NA ancestry. Specifically, the mitogen-activated protein kinases (MAPK) pathway was associated with all-cause mortality (PARTP = 0.02), but not with breast cancer-specific mortality (PARTP = 0.10). However, MAP2K1 and MAP3K9 were associated with both breast cancer-specific and all-cause mortality. MAPK12 (PARTP = 0.05) was only associated with breast cancer-specific mortality, and MAP3K1 (PARTP = 0.02) and MAPK1 (PARTP = 0.05) were only associated with all-cause mortality. Among women with higher NA ancestry, MAP3K2 was significantly associated with all-cause mortality (PARTP = 0.04). Several diet and lifestyle factors, including alcohol consumption, caloric intake, dietary folate, and cigarette smoking, significantly modified the associations with MAPK genes and all-cause mortality. Conclusions Our study supports an association between MAPK genes and survival after diagnosis with breast cancer, especially among women with low NA ancestry. The interaction between genetic variation in the MAPK pathway with diet and lifestyle factors for all women supports the important role of these factors for breast cancer survivorship. Breast cancer (dpeaa)DE-He213 Survival (dpeaa)DE-He213 MAPK (dpeaa)DE-He213 Diet (dpeaa)DE-He213 Alcohol (dpeaa)DE-He213 Cigarette smoking (dpeaa)DE-He213 Hines, Lisa H. verfasserin aut Lundgreen, Abbie verfasserin aut Baumgartner, Kathy B. verfasserin aut Wolff, Roger K. verfasserin aut Stern, Mariana C. verfasserin aut John, Esther M. verfasserin aut Enthalten in Cancer causes & control Dordrecht [u.a.] : Springer Science + Business Media B.V., 1990 25(2014), 9 vom: 04. Juli, Seite 1211-1225 (DE-627)306324288 (DE-600)1496544-6 1573-7225 nnns volume:25 year:2014 number:9 day:04 month:07 pages:1211-1225 https://dx.doi.org/10.1007/s10552-014-0426-y 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_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_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 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_2018 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_2943 GBV_ILN_2946 GBV_ILN_2949 GBV_ILN_2951 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_4346 GBV_ILN_4393 GBV_ILN_4700 44.81 ASE AR 25 2014 9 04 07 1211-1225
allfieldsSound	10.1007/s10552-014-0426-y doi (DE-627)SPR011198192 (SPR)s10552-014-0426-y-e DE-627 ger DE-627 rakwb eng 610 ASE 44.81 bkl Slattery, Martha L. verfasserin aut Diet and lifestyle factors interact with MAPK genes to influence survival: the Breast Cancer Health Disparities Study 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Introduction MAPK genes are activated by a variety of factors related to growth factors, hormones, and environmental stress. Methods We evaluated associations between 13 MAPK genes and survival among 1,187 nonHispanic White and 1,155 Hispanic/Native American (NA) women diagnosed with breast cancer. We assessed the influence of diet, lifestyle, and genetic ancestry on these associations. Percent NA ancestry was determined from 104 Ancestry Informative Markers. Adaptive rank truncation product (ARTP) was used to determine gene and pathway significance. Results Associations were predominantly observed among women with lower NA ancestry. Specifically, the mitogen-activated protein kinases (MAPK) pathway was associated with all-cause mortality (PARTP = 0.02), but not with breast cancer-specific mortality (PARTP = 0.10). However, MAP2K1 and MAP3K9 were associated with both breast cancer-specific and all-cause mortality. MAPK12 (PARTP = 0.05) was only associated with breast cancer-specific mortality, and MAP3K1 (PARTP = 0.02) and MAPK1 (PARTP = 0.05) were only associated with all-cause mortality. Among women with higher NA ancestry, MAP3K2 was significantly associated with all-cause mortality (PARTP = 0.04). Several diet and lifestyle factors, including alcohol consumption, caloric intake, dietary folate, and cigarette smoking, significantly modified the associations with MAPK genes and all-cause mortality. Conclusions Our study supports an association between MAPK genes and survival after diagnosis with breast cancer, especially among women with low NA ancestry. The interaction between genetic variation in the MAPK pathway with diet and lifestyle factors for all women supports the important role of these factors for breast cancer survivorship. Breast cancer (dpeaa)DE-He213 Survival (dpeaa)DE-He213 MAPK (dpeaa)DE-He213 Diet (dpeaa)DE-He213 Alcohol (dpeaa)DE-He213 Cigarette smoking (dpeaa)DE-He213 Hines, Lisa H. verfasserin aut Lundgreen, Abbie verfasserin aut Baumgartner, Kathy B. verfasserin aut Wolff, Roger K. verfasserin aut Stern, Mariana C. verfasserin aut John, Esther M. verfasserin aut Enthalten in Cancer causes & control Dordrecht [u.a.] : Springer Science + Business Media B.V., 1990 25(2014), 9 vom: 04. Juli, Seite 1211-1225 (DE-627)306324288 (DE-600)1496544-6 1573-7225 nnns volume:25 year:2014 number:9 day:04 month:07 pages:1211-1225 https://dx.doi.org/10.1007/s10552-014-0426-y 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_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_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 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_2018 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_2943 GBV_ILN_2946 GBV_ILN_2949 GBV_ILN_2951 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_4346 GBV_ILN_4393 GBV_ILN_4700 44.81 ASE AR 25 2014 9 04 07 1211-1225
language	English
source	Enthalten in Cancer causes & control 25(2014), 9 vom: 04. Juli, Seite 1211-1225 volume:25 year:2014 number:9 day:04 month:07 pages:1211-1225
sourceStr	Enthalten in Cancer causes & control 25(2014), 9 vom: 04. Juli, Seite 1211-1225 volume:25 year:2014 number:9 day:04 month:07 pages:1211-1225
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Breast cancer Survival MAPK Diet Alcohol Cigarette smoking
dewey-raw	610
isfreeaccess_bool	false
container_title	Cancer causes & control
authorswithroles_txt_mv	Slattery, Martha L. @@aut@@ Hines, Lisa H. @@aut@@ Lundgreen, Abbie @@aut@@ Baumgartner, Kathy B. @@aut@@ Wolff, Roger K. @@aut@@ Stern, Mariana C. @@aut@@ John, Esther M. @@aut@@
publishDateDaySort_date	2014-07-04T00:00:00Z
hierarchy_top_id	306324288
dewey-sort	3610
id	SPR011198192
language_de	englisch
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Methods We evaluated associations between 13 MAPK genes and survival among 1,187 nonHispanic White and 1,155 Hispanic/Native American (NA) women diagnosed with breast cancer. We assessed the influence of diet, lifestyle, and genetic ancestry on these associations. Percent NA ancestry was determined from 104 Ancestry Informative Markers. Adaptive rank truncation product (ARTP) was used to determine gene and pathway significance. Results Associations were predominantly observed among women with lower NA ancestry. Specifically, the mitogen-activated protein kinases (MAPK) pathway was associated with all-cause mortality (PARTP = 0.02), but not with breast cancer-specific mortality (PARTP = 0.10). However, MAP2K1 and MAP3K9 were associated with both breast cancer-specific and all-cause mortality. MAPK12 (PARTP = 0.05) was only associated with breast cancer-specific mortality, and MAP3K1 (PARTP = 0.02) and MAPK1 (PARTP = 0.05) were only associated with all-cause mortality. Among women with higher NA ancestry, MAP3K2 was significantly associated with all-cause mortality (PARTP = 0.04). Several diet and lifestyle factors, including alcohol consumption, caloric intake, dietary folate, and cigarette smoking, significantly modified the associations with MAPK genes and all-cause mortality. Conclusions Our study supports an association between MAPK genes and survival after diagnosis with breast cancer, especially among women with low NA ancestry. 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author	Slattery, Martha L.
spellingShingle	Slattery, Martha L. ddc 610 bkl 44.81 misc Breast cancer misc Survival misc MAPK misc Diet misc Alcohol misc Cigarette smoking Diet and lifestyle factors interact with MAPK genes to influence survival: the Breast Cancer Health Disparities Study
authorStr	Slattery, Martha L.
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topic_title	610 ASE 44.81 bkl Diet and lifestyle factors interact with MAPK genes to influence survival: the Breast Cancer Health Disparities Study Breast cancer (dpeaa)DE-He213 Survival (dpeaa)DE-He213 MAPK (dpeaa)DE-He213 Diet (dpeaa)DE-He213 Alcohol (dpeaa)DE-He213 Cigarette smoking (dpeaa)DE-He213
topic	ddc 610 bkl 44.81 misc Breast cancer misc Survival misc MAPK misc Diet misc Alcohol misc Cigarette smoking
topic_unstemmed	ddc 610 bkl 44.81 misc Breast cancer misc Survival misc MAPK misc Diet misc Alcohol misc Cigarette smoking
topic_browse	ddc 610 bkl 44.81 misc Breast cancer misc Survival misc MAPK misc Diet misc Alcohol misc Cigarette smoking
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title	Diet and lifestyle factors interact with MAPK genes to influence survival: the Breast Cancer Health Disparities Study
ctrlnum	(DE-627)SPR011198192 (SPR)s10552-014-0426-y-e
title_full	Diet and lifestyle factors interact with MAPK genes to influence survival: the Breast Cancer Health Disparities Study
author_sort	Slattery, Martha L.
journal	Cancer causes & control
journalStr	Cancer causes & control
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author_browse	Slattery, Martha L. Hines, Lisa H. Lundgreen, Abbie Baumgartner, Kathy B. Wolff, Roger K. Stern, Mariana C. John, Esther M.
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author-letter	Slattery, Martha L.
doi_str_mv	10.1007/s10552-014-0426-y
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author2-role	verfasserin
title_sort	diet and lifestyle factors interact with mapk genes to influence survival: the breast cancer health disparities study
title_auth	Diet and lifestyle factors interact with MAPK genes to influence survival: the Breast Cancer Health Disparities Study
abstract	Introduction MAPK genes are activated by a variety of factors related to growth factors, hormones, and environmental stress. Methods We evaluated associations between 13 MAPK genes and survival among 1,187 nonHispanic White and 1,155 Hispanic/Native American (NA) women diagnosed with breast cancer. We assessed the influence of diet, lifestyle, and genetic ancestry on these associations. Percent NA ancestry was determined from 104 Ancestry Informative Markers. Adaptive rank truncation product (ARTP) was used to determine gene and pathway significance. Results Associations were predominantly observed among women with lower NA ancestry. Specifically, the mitogen-activated protein kinases (MAPK) pathway was associated with all-cause mortality (PARTP = 0.02), but not with breast cancer-specific mortality (PARTP = 0.10). However, MAP2K1 and MAP3K9 were associated with both breast cancer-specific and all-cause mortality. MAPK12 (PARTP = 0.05) was only associated with breast cancer-specific mortality, and MAP3K1 (PARTP = 0.02) and MAPK1 (PARTP = 0.05) were only associated with all-cause mortality. Among women with higher NA ancestry, MAP3K2 was significantly associated with all-cause mortality (PARTP = 0.04). Several diet and lifestyle factors, including alcohol consumption, caloric intake, dietary folate, and cigarette smoking, significantly modified the associations with MAPK genes and all-cause mortality. Conclusions Our study supports an association between MAPK genes and survival after diagnosis with breast cancer, especially among women with low NA ancestry. The interaction between genetic variation in the MAPK pathway with diet and lifestyle factors for all women supports the important role of these factors for breast cancer survivorship.
abstractGer	Introduction MAPK genes are activated by a variety of factors related to growth factors, hormones, and environmental stress. Methods We evaluated associations between 13 MAPK genes and survival among 1,187 nonHispanic White and 1,155 Hispanic/Native American (NA) women diagnosed with breast cancer. We assessed the influence of diet, lifestyle, and genetic ancestry on these associations. Percent NA ancestry was determined from 104 Ancestry Informative Markers. Adaptive rank truncation product (ARTP) was used to determine gene and pathway significance. Results Associations were predominantly observed among women with lower NA ancestry. Specifically, the mitogen-activated protein kinases (MAPK) pathway was associated with all-cause mortality (PARTP = 0.02), but not with breast cancer-specific mortality (PARTP = 0.10). However, MAP2K1 and MAP3K9 were associated with both breast cancer-specific and all-cause mortality. MAPK12 (PARTP = 0.05) was only associated with breast cancer-specific mortality, and MAP3K1 (PARTP = 0.02) and MAPK1 (PARTP = 0.05) were only associated with all-cause mortality. Among women with higher NA ancestry, MAP3K2 was significantly associated with all-cause mortality (PARTP = 0.04). Several diet and lifestyle factors, including alcohol consumption, caloric intake, dietary folate, and cigarette smoking, significantly modified the associations with MAPK genes and all-cause mortality. Conclusions Our study supports an association between MAPK genes and survival after diagnosis with breast cancer, especially among women with low NA ancestry. The interaction between genetic variation in the MAPK pathway with diet and lifestyle factors for all women supports the important role of these factors for breast cancer survivorship.
abstract_unstemmed	Introduction MAPK genes are activated by a variety of factors related to growth factors, hormones, and environmental stress. Methods We evaluated associations between 13 MAPK genes and survival among 1,187 nonHispanic White and 1,155 Hispanic/Native American (NA) women diagnosed with breast cancer. We assessed the influence of diet, lifestyle, and genetic ancestry on these associations. Percent NA ancestry was determined from 104 Ancestry Informative Markers. Adaptive rank truncation product (ARTP) was used to determine gene and pathway significance. Results Associations were predominantly observed among women with lower NA ancestry. Specifically, the mitogen-activated protein kinases (MAPK) pathway was associated with all-cause mortality (PARTP = 0.02), but not with breast cancer-specific mortality (PARTP = 0.10). However, MAP2K1 and MAP3K9 were associated with both breast cancer-specific and all-cause mortality. MAPK12 (PARTP = 0.05) was only associated with breast cancer-specific mortality, and MAP3K1 (PARTP = 0.02) and MAPK1 (PARTP = 0.05) were only associated with all-cause mortality. Among women with higher NA ancestry, MAP3K2 was significantly associated with all-cause mortality (PARTP = 0.04). Several diet and lifestyle factors, including alcohol consumption, caloric intake, dietary folate, and cigarette smoking, significantly modified the associations with MAPK genes and all-cause mortality. Conclusions Our study supports an association between MAPK genes and survival after diagnosis with breast cancer, especially among women with low NA ancestry. The interaction between genetic variation in the MAPK pathway with diet and lifestyle factors for all women supports the important role of these factors for breast cancer survivorship.
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container_issue	9
title_short	Diet and lifestyle factors interact with MAPK genes to influence survival: the Breast Cancer Health Disparities Study
url	https://dx.doi.org/10.1007/s10552-014-0426-y
remote_bool	true
author2	Hines, Lisa H. Lundgreen, Abbie Baumgartner, Kathy B. Wolff, Roger K. Stern, Mariana C. John, Esther M.
author2Str	Hines, Lisa H. Lundgreen, Abbie Baumgartner, Kathy B. Wolff, Roger K. Stern, Mariana C. John, Esther M.
ppnlink	306324288
mediatype_str_mv	c
isOA_txt	false
hochschulschrift_bool	false
doi_str	10.1007/s10552-014-0426-y
up_date	2024-07-03T21:07:06.863Z
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