Discordance of Somatic Mutations Between Asian and Caucasian Patient Populations with Gastric Cancer

Background Differences in response to cancer treatments have been observed among racially and ethnically diverse gastric cancer (GC) patient populations. In the era of targeted therapy, mutation profiling of cancer is a crucial aspect of making therapeutic decisions. Mapping driver gene mutations fo...
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Autor*in:	Jia, Feifei [verfasserIn] Teer, Jamie K. Knepper, Todd C. Lee, Jae K. Zhou, Hong-Hao He, Yi-Jing McLeod, Howard L.

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2016

Schlagwörter:	Gastric Cancer Somatic Mutation Gastric Cancer Patient Everolimus PIK3CA Mutation

Anmerkung:	© Springer International Publishing Switzerland 2016

Übergeordnetes Werk:	Enthalten in: Molecular diagnosis & therapy - [S.l.] : Springer International, 2006, 21(2016), 2 vom: 30. Dez., Seite 179-185
Übergeordnetes Werk:	volume:21 ; year:2016 ; number:2 ; day:30 ; month:12 ; pages:179-185

Links:	Volltext

DOI / URN:	10.1007/s40291-016-0250-z

Katalog-ID:	SPR036763969

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520			\|a Background Differences in response to cancer treatments have been observed among racially and ethnically diverse gastric cancer (GC) patient populations. In the era of targeted therapy, mutation profiling of cancer is a crucial aspect of making therapeutic decisions. Mapping driver gene mutations for the GC patient population as a whole has significant potential to advance precision therapy. Methods GC patients with sequencing data (N = 473) were obtained from The Cancer Genome Atlas (TCGA; n = 295), Moffitt Cancer Center Total Cancer Care™ (TCC; n = 33), and three published studies (n = 145). In addition, relevant somatic mutation frequency data were obtained from cBioPortal, the TCC database, and an in-house analysis tool, as well as relevant publications. Results We found that the somatic mutation rates of several driver genes vary significantly between GC patients of Asian and Caucasian descent, with substantial variation across different geographic regions. Non-parametric statistical tests were performed to examine the significant differences in protein-altering somatic mutations between Asian and Caucasian GC patient groups. The frequencies of somatic mutations of five genes were: APC (Asian: Caucasian 6.06 vs. 14.40%, p = 0.0076), ARIDIA (20.7 vs. 32.1%, p = 0.01), KMT2A (4.04 vs. 12.35%, p = 0.003), PIK3CA (9.6 vs. 18.52%, p = 0.01), and PTEN (2.52 vs. 9.05%, p = 0.008), showing significant differences between Asian and Caucasian GC patients. Conclusions Our study found significant differences in protein-altering somatic mutation frequencies in diverse geographic populations. In particular, we found that the somatic patterns may offer better insight and important opportunities for both targeted drug development and precision therapeutic strategies between Asian and Caucasian GC patients.
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700	1		\|a He, Yi-Jing \|4 aut
700	1		\|a McLeod, Howard L. \|4 aut
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allfields	10.1007/s40291-016-0250-z doi (DE-627)SPR036763969 (SPR)s40291-016-0250-z-e DE-627 ger DE-627 rakwb eng Jia, Feifei verfasserin aut Discordance of Somatic Mutations Between Asian and Caucasian Patient Populations with Gastric Cancer 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer International Publishing Switzerland 2016 Background Differences in response to cancer treatments have been observed among racially and ethnically diverse gastric cancer (GC) patient populations. In the era of targeted therapy, mutation profiling of cancer is a crucial aspect of making therapeutic decisions. Mapping driver gene mutations for the GC patient population as a whole has significant potential to advance precision therapy. Methods GC patients with sequencing data (N = 473) were obtained from The Cancer Genome Atlas (TCGA; n = 295), Moffitt Cancer Center Total Cancer Care™ (TCC; n = 33), and three published studies (n = 145). In addition, relevant somatic mutation frequency data were obtained from cBioPortal, the TCC database, and an in-house analysis tool, as well as relevant publications. Results We found that the somatic mutation rates of several driver genes vary significantly between GC patients of Asian and Caucasian descent, with substantial variation across different geographic regions. Non-parametric statistical tests were performed to examine the significant differences in protein-altering somatic mutations between Asian and Caucasian GC patient groups. The frequencies of somatic mutations of five genes were: APC (Asian: Caucasian 6.06 vs. 14.40%, p = 0.0076), ARIDIA (20.7 vs. 32.1%, p = 0.01), KMT2A (4.04 vs. 12.35%, p = 0.003), PIK3CA (9.6 vs. 18.52%, p = 0.01), and PTEN (2.52 vs. 9.05%, p = 0.008), showing significant differences between Asian and Caucasian GC patients. Conclusions Our study found significant differences in protein-altering somatic mutation frequencies in diverse geographic populations. In particular, we found that the somatic patterns may offer better insight and important opportunities for both targeted drug development and precision therapeutic strategies between Asian and Caucasian GC patients. Gastric Cancer (dpeaa)DE-He213 Somatic Mutation (dpeaa)DE-He213 Gastric Cancer Patient (dpeaa)DE-He213 Everolimus (dpeaa)DE-He213 PIK3CA Mutation (dpeaa)DE-He213 Teer, Jamie K. aut Knepper, Todd C. aut Lee, Jae K. aut Zhou, Hong-Hao aut He, Yi-Jing aut McLeod, Howard L. aut Enthalten in Molecular diagnosis & therapy [S.l.] : Springer International, 2006 21(2016), 2 vom: 30. Dez., Seite 179-185 (DE-627)51122799X (DE-600)2232973-0 1179-2000 nnns volume:21 year:2016 number:2 day:30 month:12 pages:179-185 https://dx.doi.org/10.1007/s40291-016-0250-z 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_65 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_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 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_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_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_2118 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_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 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 AR 21 2016 2 30 12 179-185
spelling	10.1007/s40291-016-0250-z doi (DE-627)SPR036763969 (SPR)s40291-016-0250-z-e DE-627 ger DE-627 rakwb eng Jia, Feifei verfasserin aut Discordance of Somatic Mutations Between Asian and Caucasian Patient Populations with Gastric Cancer 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer International Publishing Switzerland 2016 Background Differences in response to cancer treatments have been observed among racially and ethnically diverse gastric cancer (GC) patient populations. In the era of targeted therapy, mutation profiling of cancer is a crucial aspect of making therapeutic decisions. Mapping driver gene mutations for the GC patient population as a whole has significant potential to advance precision therapy. Methods GC patients with sequencing data (N = 473) were obtained from The Cancer Genome Atlas (TCGA; n = 295), Moffitt Cancer Center Total Cancer Care™ (TCC; n = 33), and three published studies (n = 145). In addition, relevant somatic mutation frequency data were obtained from cBioPortal, the TCC database, and an in-house analysis tool, as well as relevant publications. Results We found that the somatic mutation rates of several driver genes vary significantly between GC patients of Asian and Caucasian descent, with substantial variation across different geographic regions. Non-parametric statistical tests were performed to examine the significant differences in protein-altering somatic mutations between Asian and Caucasian GC patient groups. The frequencies of somatic mutations of five genes were: APC (Asian: Caucasian 6.06 vs. 14.40%, p = 0.0076), ARIDIA (20.7 vs. 32.1%, p = 0.01), KMT2A (4.04 vs. 12.35%, p = 0.003), PIK3CA (9.6 vs. 18.52%, p = 0.01), and PTEN (2.52 vs. 9.05%, p = 0.008), showing significant differences between Asian and Caucasian GC patients. Conclusions Our study found significant differences in protein-altering somatic mutation frequencies in diverse geographic populations. In particular, we found that the somatic patterns may offer better insight and important opportunities for both targeted drug development and precision therapeutic strategies between Asian and Caucasian GC patients. Gastric Cancer (dpeaa)DE-He213 Somatic Mutation (dpeaa)DE-He213 Gastric Cancer Patient (dpeaa)DE-He213 Everolimus (dpeaa)DE-He213 PIK3CA Mutation (dpeaa)DE-He213 Teer, Jamie K. aut Knepper, Todd C. aut Lee, Jae K. aut Zhou, Hong-Hao aut He, Yi-Jing aut McLeod, Howard L. aut Enthalten in Molecular diagnosis & therapy [S.l.] : Springer International, 2006 21(2016), 2 vom: 30. Dez., Seite 179-185 (DE-627)51122799X (DE-600)2232973-0 1179-2000 nnns volume:21 year:2016 number:2 day:30 month:12 pages:179-185 https://dx.doi.org/10.1007/s40291-016-0250-z 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_65 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_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 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_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_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_2118 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_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 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 AR 21 2016 2 30 12 179-185
allfields_unstemmed	10.1007/s40291-016-0250-z doi (DE-627)SPR036763969 (SPR)s40291-016-0250-z-e DE-627 ger DE-627 rakwb eng Jia, Feifei verfasserin aut Discordance of Somatic Mutations Between Asian and Caucasian Patient Populations with Gastric Cancer 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer International Publishing Switzerland 2016 Background Differences in response to cancer treatments have been observed among racially and ethnically diverse gastric cancer (GC) patient populations. In the era of targeted therapy, mutation profiling of cancer is a crucial aspect of making therapeutic decisions. Mapping driver gene mutations for the GC patient population as a whole has significant potential to advance precision therapy. Methods GC patients with sequencing data (N = 473) were obtained from The Cancer Genome Atlas (TCGA; n = 295), Moffitt Cancer Center Total Cancer Care™ (TCC; n = 33), and three published studies (n = 145). In addition, relevant somatic mutation frequency data were obtained from cBioPortal, the TCC database, and an in-house analysis tool, as well as relevant publications. Results We found that the somatic mutation rates of several driver genes vary significantly between GC patients of Asian and Caucasian descent, with substantial variation across different geographic regions. Non-parametric statistical tests were performed to examine the significant differences in protein-altering somatic mutations between Asian and Caucasian GC patient groups. The frequencies of somatic mutations of five genes were: APC (Asian: Caucasian 6.06 vs. 14.40%, p = 0.0076), ARIDIA (20.7 vs. 32.1%, p = 0.01), KMT2A (4.04 vs. 12.35%, p = 0.003), PIK3CA (9.6 vs. 18.52%, p = 0.01), and PTEN (2.52 vs. 9.05%, p = 0.008), showing significant differences between Asian and Caucasian GC patients. Conclusions Our study found significant differences in protein-altering somatic mutation frequencies in diverse geographic populations. In particular, we found that the somatic patterns may offer better insight and important opportunities for both targeted drug development and precision therapeutic strategies between Asian and Caucasian GC patients. Gastric Cancer (dpeaa)DE-He213 Somatic Mutation (dpeaa)DE-He213 Gastric Cancer Patient (dpeaa)DE-He213 Everolimus (dpeaa)DE-He213 PIK3CA Mutation (dpeaa)DE-He213 Teer, Jamie K. aut Knepper, Todd C. aut Lee, Jae K. aut Zhou, Hong-Hao aut He, Yi-Jing aut McLeod, Howard L. aut Enthalten in Molecular diagnosis & therapy [S.l.] : Springer International, 2006 21(2016), 2 vom: 30. Dez., Seite 179-185 (DE-627)51122799X (DE-600)2232973-0 1179-2000 nnns volume:21 year:2016 number:2 day:30 month:12 pages:179-185 https://dx.doi.org/10.1007/s40291-016-0250-z 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_65 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_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 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_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_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_2118 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_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 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 AR 21 2016 2 30 12 179-185
allfieldsGer	10.1007/s40291-016-0250-z doi (DE-627)SPR036763969 (SPR)s40291-016-0250-z-e DE-627 ger DE-627 rakwb eng Jia, Feifei verfasserin aut Discordance of Somatic Mutations Between Asian and Caucasian Patient Populations with Gastric Cancer 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer International Publishing Switzerland 2016 Background Differences in response to cancer treatments have been observed among racially and ethnically diverse gastric cancer (GC) patient populations. In the era of targeted therapy, mutation profiling of cancer is a crucial aspect of making therapeutic decisions. Mapping driver gene mutations for the GC patient population as a whole has significant potential to advance precision therapy. Methods GC patients with sequencing data (N = 473) were obtained from The Cancer Genome Atlas (TCGA; n = 295), Moffitt Cancer Center Total Cancer Care™ (TCC; n = 33), and three published studies (n = 145). In addition, relevant somatic mutation frequency data were obtained from cBioPortal, the TCC database, and an in-house analysis tool, as well as relevant publications. Results We found that the somatic mutation rates of several driver genes vary significantly between GC patients of Asian and Caucasian descent, with substantial variation across different geographic regions. Non-parametric statistical tests were performed to examine the significant differences in protein-altering somatic mutations between Asian and Caucasian GC patient groups. The frequencies of somatic mutations of five genes were: APC (Asian: Caucasian 6.06 vs. 14.40%, p = 0.0076), ARIDIA (20.7 vs. 32.1%, p = 0.01), KMT2A (4.04 vs. 12.35%, p = 0.003), PIK3CA (9.6 vs. 18.52%, p = 0.01), and PTEN (2.52 vs. 9.05%, p = 0.008), showing significant differences between Asian and Caucasian GC patients. Conclusions Our study found significant differences in protein-altering somatic mutation frequencies in diverse geographic populations. In particular, we found that the somatic patterns may offer better insight and important opportunities for both targeted drug development and precision therapeutic strategies between Asian and Caucasian GC patients. Gastric Cancer (dpeaa)DE-He213 Somatic Mutation (dpeaa)DE-He213 Gastric Cancer Patient (dpeaa)DE-He213 Everolimus (dpeaa)DE-He213 PIK3CA Mutation (dpeaa)DE-He213 Teer, Jamie K. aut Knepper, Todd C. aut Lee, Jae K. aut Zhou, Hong-Hao aut He, Yi-Jing aut McLeod, Howard L. aut Enthalten in Molecular diagnosis & therapy [S.l.] : Springer International, 2006 21(2016), 2 vom: 30. Dez., Seite 179-185 (DE-627)51122799X (DE-600)2232973-0 1179-2000 nnns volume:21 year:2016 number:2 day:30 month:12 pages:179-185 https://dx.doi.org/10.1007/s40291-016-0250-z 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_65 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_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 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_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_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_2118 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_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 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 AR 21 2016 2 30 12 179-185
allfieldsSound	10.1007/s40291-016-0250-z doi (DE-627)SPR036763969 (SPR)s40291-016-0250-z-e DE-627 ger DE-627 rakwb eng Jia, Feifei verfasserin aut Discordance of Somatic Mutations Between Asian and Caucasian Patient Populations with Gastric Cancer 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer International Publishing Switzerland 2016 Background Differences in response to cancer treatments have been observed among racially and ethnically diverse gastric cancer (GC) patient populations. In the era of targeted therapy, mutation profiling of cancer is a crucial aspect of making therapeutic decisions. Mapping driver gene mutations for the GC patient population as a whole has significant potential to advance precision therapy. Methods GC patients with sequencing data (N = 473) were obtained from The Cancer Genome Atlas (TCGA; n = 295), Moffitt Cancer Center Total Cancer Care™ (TCC; n = 33), and three published studies (n = 145). In addition, relevant somatic mutation frequency data were obtained from cBioPortal, the TCC database, and an in-house analysis tool, as well as relevant publications. Results We found that the somatic mutation rates of several driver genes vary significantly between GC patients of Asian and Caucasian descent, with substantial variation across different geographic regions. Non-parametric statistical tests were performed to examine the significant differences in protein-altering somatic mutations between Asian and Caucasian GC patient groups. The frequencies of somatic mutations of five genes were: APC (Asian: Caucasian 6.06 vs. 14.40%, p = 0.0076), ARIDIA (20.7 vs. 32.1%, p = 0.01), KMT2A (4.04 vs. 12.35%, p = 0.003), PIK3CA (9.6 vs. 18.52%, p = 0.01), and PTEN (2.52 vs. 9.05%, p = 0.008), showing significant differences between Asian and Caucasian GC patients. Conclusions Our study found significant differences in protein-altering somatic mutation frequencies in diverse geographic populations. In particular, we found that the somatic patterns may offer better insight and important opportunities for both targeted drug development and precision therapeutic strategies between Asian and Caucasian GC patients. Gastric Cancer (dpeaa)DE-He213 Somatic Mutation (dpeaa)DE-He213 Gastric Cancer Patient (dpeaa)DE-He213 Everolimus (dpeaa)DE-He213 PIK3CA Mutation (dpeaa)DE-He213 Teer, Jamie K. aut Knepper, Todd C. aut Lee, Jae K. aut Zhou, Hong-Hao aut He, Yi-Jing aut McLeod, Howard L. aut Enthalten in Molecular diagnosis & therapy [S.l.] : Springer International, 2006 21(2016), 2 vom: 30. Dez., Seite 179-185 (DE-627)51122799X (DE-600)2232973-0 1179-2000 nnns volume:21 year:2016 number:2 day:30 month:12 pages:179-185 https://dx.doi.org/10.1007/s40291-016-0250-z 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_65 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_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 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_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_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_2118 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_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 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 AR 21 2016 2 30 12 179-185
language	English
source	Enthalten in Molecular diagnosis & therapy 21(2016), 2 vom: 30. Dez., Seite 179-185 volume:21 year:2016 number:2 day:30 month:12 pages:179-185
sourceStr	Enthalten in Molecular diagnosis & therapy 21(2016), 2 vom: 30. Dez., Seite 179-185 volume:21 year:2016 number:2 day:30 month:12 pages:179-185
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Gastric Cancer Somatic Mutation Gastric Cancer Patient Everolimus PIK3CA Mutation
isfreeaccess_bool	false
container_title	Molecular diagnosis & therapy
authorswithroles_txt_mv	Jia, Feifei @@aut@@ Teer, Jamie K. @@aut@@ Knepper, Todd C. @@aut@@ Lee, Jae K. @@aut@@ Zhou, Hong-Hao @@aut@@ He, Yi-Jing @@aut@@ McLeod, Howard L. @@aut@@
publishDateDaySort_date	2016-12-30T00:00:00Z
hierarchy_top_id	51122799X
id	SPR036763969
language_de	englisch
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In the era of targeted therapy, mutation profiling of cancer is a crucial aspect of making therapeutic decisions. Mapping driver gene mutations for the GC patient population as a whole has significant potential to advance precision therapy. Methods GC patients with sequencing data (N = 473) were obtained from The Cancer Genome Atlas (TCGA; n = 295), Moffitt Cancer Center Total Cancer Care™ (TCC; n = 33), and three published studies (n = 145). In addition, relevant somatic mutation frequency data were obtained from cBioPortal, the TCC database, and an in-house analysis tool, as well as relevant publications. Results We found that the somatic mutation rates of several driver genes vary significantly between GC patients of Asian and Caucasian descent, with substantial variation across different geographic regions. Non-parametric statistical tests were performed to examine the significant differences in protein-altering somatic mutations between Asian and Caucasian GC patient groups. The frequencies of somatic mutations of five genes were: APC (Asian: Caucasian 6.06 vs. 14.40%, p = 0.0076), ARIDIA (20.7 vs. 32.1%, p = 0.01), KMT2A (4.04 vs. 12.35%, p = 0.003), PIK3CA (9.6 vs. 18.52%, p = 0.01), and PTEN (2.52 vs. 9.05%, p = 0.008), showing significant differences between Asian and Caucasian GC patients. Conclusions Our study found significant differences in protein-altering somatic mutation frequencies in diverse geographic populations. 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author	Jia, Feifei
spellingShingle	Jia, Feifei misc Gastric Cancer misc Somatic Mutation misc Gastric Cancer Patient misc Everolimus misc PIK3CA Mutation Discordance of Somatic Mutations Between Asian and Caucasian Patient Populations with Gastric Cancer
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topic_title	Discordance of Somatic Mutations Between Asian and Caucasian Patient Populations with Gastric Cancer Gastric Cancer (dpeaa)DE-He213 Somatic Mutation (dpeaa)DE-He213 Gastric Cancer Patient (dpeaa)DE-He213 Everolimus (dpeaa)DE-He213 PIK3CA Mutation (dpeaa)DE-He213
topic	misc Gastric Cancer misc Somatic Mutation misc Gastric Cancer Patient misc Everolimus misc PIK3CA Mutation
topic_unstemmed	misc Gastric Cancer misc Somatic Mutation misc Gastric Cancer Patient misc Everolimus misc PIK3CA Mutation
topic_browse	misc Gastric Cancer misc Somatic Mutation misc Gastric Cancer Patient misc Everolimus misc PIK3CA Mutation
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title	Discordance of Somatic Mutations Between Asian and Caucasian Patient Populations with Gastric Cancer
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title_full	Discordance of Somatic Mutations Between Asian and Caucasian Patient Populations with Gastric Cancer
author_sort	Jia, Feifei
journal	Molecular diagnosis & therapy
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author_browse	Jia, Feifei Teer, Jamie K. Knepper, Todd C. Lee, Jae K. Zhou, Hong-Hao He, Yi-Jing McLeod, Howard L.
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doi_str_mv	10.1007/s40291-016-0250-z
title_sort	discordance of somatic mutations between asian and caucasian patient populations with gastric cancer
title_auth	Discordance of Somatic Mutations Between Asian and Caucasian Patient Populations with Gastric Cancer
abstract	Background Differences in response to cancer treatments have been observed among racially and ethnically diverse gastric cancer (GC) patient populations. In the era of targeted therapy, mutation profiling of cancer is a crucial aspect of making therapeutic decisions. Mapping driver gene mutations for the GC patient population as a whole has significant potential to advance precision therapy. Methods GC patients with sequencing data (N = 473) were obtained from The Cancer Genome Atlas (TCGA; n = 295), Moffitt Cancer Center Total Cancer Care™ (TCC; n = 33), and three published studies (n = 145). In addition, relevant somatic mutation frequency data were obtained from cBioPortal, the TCC database, and an in-house analysis tool, as well as relevant publications. Results We found that the somatic mutation rates of several driver genes vary significantly between GC patients of Asian and Caucasian descent, with substantial variation across different geographic regions. Non-parametric statistical tests were performed to examine the significant differences in protein-altering somatic mutations between Asian and Caucasian GC patient groups. The frequencies of somatic mutations of five genes were: APC (Asian: Caucasian 6.06 vs. 14.40%, p = 0.0076), ARIDIA (20.7 vs. 32.1%, p = 0.01), KMT2A (4.04 vs. 12.35%, p = 0.003), PIK3CA (9.6 vs. 18.52%, p = 0.01), and PTEN (2.52 vs. 9.05%, p = 0.008), showing significant differences between Asian and Caucasian GC patients. Conclusions Our study found significant differences in protein-altering somatic mutation frequencies in diverse geographic populations. In particular, we found that the somatic patterns may offer better insight and important opportunities for both targeted drug development and precision therapeutic strategies between Asian and Caucasian GC patients. © Springer International Publishing Switzerland 2016
abstractGer	Background Differences in response to cancer treatments have been observed among racially and ethnically diverse gastric cancer (GC) patient populations. In the era of targeted therapy, mutation profiling of cancer is a crucial aspect of making therapeutic decisions. Mapping driver gene mutations for the GC patient population as a whole has significant potential to advance precision therapy. Methods GC patients with sequencing data (N = 473) were obtained from The Cancer Genome Atlas (TCGA; n = 295), Moffitt Cancer Center Total Cancer Care™ (TCC; n = 33), and three published studies (n = 145). In addition, relevant somatic mutation frequency data were obtained from cBioPortal, the TCC database, and an in-house analysis tool, as well as relevant publications. Results We found that the somatic mutation rates of several driver genes vary significantly between GC patients of Asian and Caucasian descent, with substantial variation across different geographic regions. Non-parametric statistical tests were performed to examine the significant differences in protein-altering somatic mutations between Asian and Caucasian GC patient groups. The frequencies of somatic mutations of five genes were: APC (Asian: Caucasian 6.06 vs. 14.40%, p = 0.0076), ARIDIA (20.7 vs. 32.1%, p = 0.01), KMT2A (4.04 vs. 12.35%, p = 0.003), PIK3CA (9.6 vs. 18.52%, p = 0.01), and PTEN (2.52 vs. 9.05%, p = 0.008), showing significant differences between Asian and Caucasian GC patients. Conclusions Our study found significant differences in protein-altering somatic mutation frequencies in diverse geographic populations. In particular, we found that the somatic patterns may offer better insight and important opportunities for both targeted drug development and precision therapeutic strategies between Asian and Caucasian GC patients. © Springer International Publishing Switzerland 2016
abstract_unstemmed	Background Differences in response to cancer treatments have been observed among racially and ethnically diverse gastric cancer (GC) patient populations. In the era of targeted therapy, mutation profiling of cancer is a crucial aspect of making therapeutic decisions. Mapping driver gene mutations for the GC patient population as a whole has significant potential to advance precision therapy. Methods GC patients with sequencing data (N = 473) were obtained from The Cancer Genome Atlas (TCGA; n = 295), Moffitt Cancer Center Total Cancer Care™ (TCC; n = 33), and three published studies (n = 145). In addition, relevant somatic mutation frequency data were obtained from cBioPortal, the TCC database, and an in-house analysis tool, as well as relevant publications. Results We found that the somatic mutation rates of several driver genes vary significantly between GC patients of Asian and Caucasian descent, with substantial variation across different geographic regions. Non-parametric statistical tests were performed to examine the significant differences in protein-altering somatic mutations between Asian and Caucasian GC patient groups. The frequencies of somatic mutations of five genes were: APC (Asian: Caucasian 6.06 vs. 14.40%, p = 0.0076), ARIDIA (20.7 vs. 32.1%, p = 0.01), KMT2A (4.04 vs. 12.35%, p = 0.003), PIK3CA (9.6 vs. 18.52%, p = 0.01), and PTEN (2.52 vs. 9.05%, p = 0.008), showing significant differences between Asian and Caucasian GC patients. Conclusions Our study found significant differences in protein-altering somatic mutation frequencies in diverse geographic populations. In particular, we found that the somatic patterns may offer better insight and important opportunities for both targeted drug development and precision therapeutic strategies between Asian and Caucasian GC patients. © Springer International Publishing Switzerland 2016
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title_short	Discordance of Somatic Mutations Between Asian and Caucasian Patient Populations with Gastric Cancer
url	https://dx.doi.org/10.1007/s40291-016-0250-z
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doi_str	10.1007/s40291-016-0250-z
up_date	2024-07-03T19:30:13.156Z
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fullrecord_marcxml	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR036763969</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230519215923.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201007s2016 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s40291-016-0250-z</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR036763969</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s40291-016-0250-z-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Jia, Feifei</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Discordance of Somatic Mutations Between Asian and Caucasian Patient Populations with Gastric Cancer</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2016</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Springer International Publishing Switzerland 2016</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Background Differences in response to cancer treatments have been observed among racially and ethnically diverse gastric cancer (GC) patient populations. In the era of targeted therapy, mutation profiling of cancer is a crucial aspect of making therapeutic decisions. Mapping driver gene mutations for the GC patient population as a whole has significant potential to advance precision therapy. Methods GC patients with sequencing data (N = 473) were obtained from The Cancer Genome Atlas (TCGA; n = 295), Moffitt Cancer Center Total Cancer Care™ (TCC; n = 33), and three published studies (n = 145). In addition, relevant somatic mutation frequency data were obtained from cBioPortal, the TCC database, and an in-house analysis tool, as well as relevant publications. Results We found that the somatic mutation rates of several driver genes vary significantly between GC patients of Asian and Caucasian descent, with substantial variation across different geographic regions. Non-parametric statistical tests were performed to examine the significant differences in protein-altering somatic mutations between Asian and Caucasian GC patient groups. The frequencies of somatic mutations of five genes were: APC (Asian: Caucasian 6.06 vs. 14.40%, p = 0.0076), ARIDIA (20.7 vs. 32.1%, p = 0.01), KMT2A (4.04 vs. 12.35%, p = 0.003), PIK3CA (9.6 vs. 18.52%, p = 0.01), and PTEN (2.52 vs. 9.05%, p = 0.008), showing significant differences between Asian and Caucasian GC patients. Conclusions Our study found significant differences in protein-altering somatic mutation frequencies in diverse geographic populations. In particular, we found that the somatic patterns may offer better insight and important opportunities for both targeted drug development and precision therapeutic strategies between Asian and Caucasian GC patients.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Gastric Cancer</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Somatic Mutation</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Gastric Cancer Patient</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Everolimus</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">PIK3CA Mutation</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Teer, Jamie K.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Knepper, Todd C.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Lee, Jae K.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhou, Hong-Hao</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">He, Yi-Jing</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">McLeod, Howard L.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Molecular diagnosis & therapy</subfield><subfield code="d">[S.l.] : Springer International, 2006</subfield><subfield code="g">21(2016), 2 vom: 30. 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Discordance of Somatic Mutations Between Asian and Caucasian Patient Populations with Gastric Cancer

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