Genetic landscape and personalized tracking of tumor mutations in Vietnamese women with breast cancer
Breast cancer is the leading cause of cancer death in Vietnamese women, but its mutational landscape and actionable alterations for targeted therapies remain unknown. After treatment, a sensitive biomarker to complement conventional imaging to monitor patients is also lacking. In this prospective mu...
Ausführliche Beschreibung
Autor*in: |
Van‐Anh Nguyen Hoang [verfasserIn] Sao Trung Nguyen [verfasserIn] Trieu Vu Nguyen [verfasserIn] Thanh Huyen Pham [verfasserIn] Phuoc Loc Doan [verfasserIn] Ngoc Thanh Nguyen Thi [verfasserIn] Minh Long Nguyen [verfasserIn] Thi Cuc Dinh [verfasserIn] Dinh Hoang Pham [verfasserIn] Ngoc Mai Nguyen [verfasserIn] Duy Sinh Nguyen [verfasserIn] Du Quyen Nguyen [verfasserIn] Y‐Thanh Lu [verfasserIn] Thanh Thuy Thi Do [verfasserIn] Dinh Kiet Truong [verfasserIn] Minh‐Duy Phan [verfasserIn] Hoai‐Nghia Nguyen [verfasserIn] Hoa Giang [verfasserIn] Lan N. Tu [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2023 |
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Übergeordnetes Werk: |
In: Molecular Oncology - Wiley, 2017, 17(2023), 4, Seite 598-610 |
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Übergeordnetes Werk: |
volume:17 ; year:2023 ; number:4 ; pages:598-610 |
Links: |
Link aufrufen |
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DOI / URN: |
10.1002/1878-0261.13356 |
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Katalog-ID: |
DOAJ088891410 |
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520 | |a Breast cancer is the leading cause of cancer death in Vietnamese women, but its mutational landscape and actionable alterations for targeted therapies remain unknown. After treatment, a sensitive biomarker to complement conventional imaging to monitor patients is also lacking. In this prospective multi‐center study, 134 early‐stage breast cancer patients eligible for curative‐intent surgery were recruited. Genomic DNA from tumor tissues and paired white blood cells were sequenced to profile all tumor‐derived mutations in 95 cancer‐associated genes. Our bioinformatic algorithm was then utilized to identify top mutations for individual patients. Serial plasma samples were collected before surgery and at scheduled visits after surgery. Personalized assay tracking the selected mutations were performed to detect circulating tumor DNA (ctDNA) in the plasma. We found that the mutational landscape of the Vietnamese was largely similar to other Asian cohorts, showing higher TP53 mutation frequency than in Caucasians. Alterations in PIK3CA and PI3K signaling were dominant, particularly in our triple‐negative subgroup. Using top‐ranked mutations, we detected ctDNA in pre‐operative plasma in 24.6–43.5% of the hormone‐receptor‐positive groups and 76.9–80.8% of the hormone‐receptor‐negative groups. The detection rate was associated with breast cancer subtypes and clinicopathological features that increased the risk of relapse. Interim analysis after a 15‐month follow‐up revealed post‐operative detection of ctDNA in all three patients that had recurrence, with a lead time of 7–13 months ahead of clinical diagnosis. Our personalized assay is streamlined and affordable with promising clinical utility in residual cancer surveillance. We also generated the first somatic variant dataset for Vietnamese breast cancer women that could lay the foundation for precision cancer medicine in Vietnam. | ||
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653 | 0 | |a Neoplasms. Tumors. Oncology. Including cancer and carcinogens | |
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10.1002/1878-0261.13356 doi (DE-627)DOAJ088891410 (DE-599)DOAJcb65bfefe411467fa96cfb5e19731f46 DE-627 ger DE-627 rakwb eng RC254-282 Van‐Anh Nguyen Hoang verfasserin aut Genetic landscape and personalized tracking of tumor mutations in Vietnamese women with breast cancer 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Breast cancer is the leading cause of cancer death in Vietnamese women, but its mutational landscape and actionable alterations for targeted therapies remain unknown. After treatment, a sensitive biomarker to complement conventional imaging to monitor patients is also lacking. In this prospective multi‐center study, 134 early‐stage breast cancer patients eligible for curative‐intent surgery were recruited. Genomic DNA from tumor tissues and paired white blood cells were sequenced to profile all tumor‐derived mutations in 95 cancer‐associated genes. Our bioinformatic algorithm was then utilized to identify top mutations for individual patients. Serial plasma samples were collected before surgery and at scheduled visits after surgery. Personalized assay tracking the selected mutations were performed to detect circulating tumor DNA (ctDNA) in the plasma. We found that the mutational landscape of the Vietnamese was largely similar to other Asian cohorts, showing higher TP53 mutation frequency than in Caucasians. Alterations in PIK3CA and PI3K signaling were dominant, particularly in our triple‐negative subgroup. Using top‐ranked mutations, we detected ctDNA in pre‐operative plasma in 24.6–43.5% of the hormone‐receptor‐positive groups and 76.9–80.8% of the hormone‐receptor‐negative groups. The detection rate was associated with breast cancer subtypes and clinicopathological features that increased the risk of relapse. Interim analysis after a 15‐month follow‐up revealed post‐operative detection of ctDNA in all three patients that had recurrence, with a lead time of 7–13 months ahead of clinical diagnosis. Our personalized assay is streamlined and affordable with promising clinical utility in residual cancer surveillance. We also generated the first somatic variant dataset for Vietnamese breast cancer women that could lay the foundation for precision cancer medicine in Vietnam. circulating tumor DNA minimal residual disease mutational landscape next‐generation sequencing somatic mutation Neoplasms. Tumors. Oncology. Including cancer and carcinogens Sao Trung Nguyen verfasserin aut Trieu Vu Nguyen verfasserin aut Thanh Huyen Pham verfasserin aut Phuoc Loc Doan verfasserin aut Ngoc Thanh Nguyen Thi verfasserin aut Minh Long Nguyen verfasserin aut Thi Cuc Dinh verfasserin aut Dinh Hoang Pham verfasserin aut Ngoc Mai Nguyen verfasserin aut Duy Sinh Nguyen verfasserin aut Du Quyen Nguyen verfasserin aut Y‐Thanh Lu verfasserin aut Thanh Thuy Thi Do verfasserin aut Dinh Kiet Truong verfasserin aut Minh‐Duy Phan verfasserin aut Hoai‐Nghia Nguyen verfasserin aut Hoa Giang verfasserin aut Lan N. Tu verfasserin aut In Molecular Oncology Wiley, 2017 17(2023), 4, Seite 598-610 (DE-627)531199800 (DE-600)2322586-5 18780261 nnns volume:17 year:2023 number:4 pages:598-610 https://doi.org/10.1002/1878-0261.13356 kostenfrei https://doaj.org/article/cb65bfefe411467fa96cfb5e19731f46 kostenfrei https://doi.org/10.1002/1878-0261.13356 kostenfrei https://doaj.org/toc/1574-7891 Journal toc kostenfrei https://doaj.org/toc/1878-0261 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_636 GBV_ILN_647 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 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_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_4367 GBV_ILN_4700 AR 17 2023 4 598-610 |
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10.1002/1878-0261.13356 doi (DE-627)DOAJ088891410 (DE-599)DOAJcb65bfefe411467fa96cfb5e19731f46 DE-627 ger DE-627 rakwb eng RC254-282 Van‐Anh Nguyen Hoang verfasserin aut Genetic landscape and personalized tracking of tumor mutations in Vietnamese women with breast cancer 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Breast cancer is the leading cause of cancer death in Vietnamese women, but its mutational landscape and actionable alterations for targeted therapies remain unknown. After treatment, a sensitive biomarker to complement conventional imaging to monitor patients is also lacking. In this prospective multi‐center study, 134 early‐stage breast cancer patients eligible for curative‐intent surgery were recruited. Genomic DNA from tumor tissues and paired white blood cells were sequenced to profile all tumor‐derived mutations in 95 cancer‐associated genes. Our bioinformatic algorithm was then utilized to identify top mutations for individual patients. Serial plasma samples were collected before surgery and at scheduled visits after surgery. Personalized assay tracking the selected mutations were performed to detect circulating tumor DNA (ctDNA) in the plasma. We found that the mutational landscape of the Vietnamese was largely similar to other Asian cohorts, showing higher TP53 mutation frequency than in Caucasians. Alterations in PIK3CA and PI3K signaling were dominant, particularly in our triple‐negative subgroup. Using top‐ranked mutations, we detected ctDNA in pre‐operative plasma in 24.6–43.5% of the hormone‐receptor‐positive groups and 76.9–80.8% of the hormone‐receptor‐negative groups. The detection rate was associated with breast cancer subtypes and clinicopathological features that increased the risk of relapse. Interim analysis after a 15‐month follow‐up revealed post‐operative detection of ctDNA in all three patients that had recurrence, with a lead time of 7–13 months ahead of clinical diagnosis. Our personalized assay is streamlined and affordable with promising clinical utility in residual cancer surveillance. We also generated the first somatic variant dataset for Vietnamese breast cancer women that could lay the foundation for precision cancer medicine in Vietnam. circulating tumor DNA minimal residual disease mutational landscape next‐generation sequencing somatic mutation Neoplasms. Tumors. Oncology. Including cancer and carcinogens Sao Trung Nguyen verfasserin aut Trieu Vu Nguyen verfasserin aut Thanh Huyen Pham verfasserin aut Phuoc Loc Doan verfasserin aut Ngoc Thanh Nguyen Thi verfasserin aut Minh Long Nguyen verfasserin aut Thi Cuc Dinh verfasserin aut Dinh Hoang Pham verfasserin aut Ngoc Mai Nguyen verfasserin aut Duy Sinh Nguyen verfasserin aut Du Quyen Nguyen verfasserin aut Y‐Thanh Lu verfasserin aut Thanh Thuy Thi Do verfasserin aut Dinh Kiet Truong verfasserin aut Minh‐Duy Phan verfasserin aut Hoai‐Nghia Nguyen verfasserin aut Hoa Giang verfasserin aut Lan N. Tu verfasserin aut In Molecular Oncology Wiley, 2017 17(2023), 4, Seite 598-610 (DE-627)531199800 (DE-600)2322586-5 18780261 nnns volume:17 year:2023 number:4 pages:598-610 https://doi.org/10.1002/1878-0261.13356 kostenfrei https://doaj.org/article/cb65bfefe411467fa96cfb5e19731f46 kostenfrei https://doi.org/10.1002/1878-0261.13356 kostenfrei https://doaj.org/toc/1574-7891 Journal toc kostenfrei https://doaj.org/toc/1878-0261 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_636 GBV_ILN_647 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 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_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_4367 GBV_ILN_4700 AR 17 2023 4 598-610 |
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10.1002/1878-0261.13356 doi (DE-627)DOAJ088891410 (DE-599)DOAJcb65bfefe411467fa96cfb5e19731f46 DE-627 ger DE-627 rakwb eng RC254-282 Van‐Anh Nguyen Hoang verfasserin aut Genetic landscape and personalized tracking of tumor mutations in Vietnamese women with breast cancer 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Breast cancer is the leading cause of cancer death in Vietnamese women, but its mutational landscape and actionable alterations for targeted therapies remain unknown. After treatment, a sensitive biomarker to complement conventional imaging to monitor patients is also lacking. In this prospective multi‐center study, 134 early‐stage breast cancer patients eligible for curative‐intent surgery were recruited. Genomic DNA from tumor tissues and paired white blood cells were sequenced to profile all tumor‐derived mutations in 95 cancer‐associated genes. Our bioinformatic algorithm was then utilized to identify top mutations for individual patients. Serial plasma samples were collected before surgery and at scheduled visits after surgery. Personalized assay tracking the selected mutations were performed to detect circulating tumor DNA (ctDNA) in the plasma. We found that the mutational landscape of the Vietnamese was largely similar to other Asian cohorts, showing higher TP53 mutation frequency than in Caucasians. Alterations in PIK3CA and PI3K signaling were dominant, particularly in our triple‐negative subgroup. Using top‐ranked mutations, we detected ctDNA in pre‐operative plasma in 24.6–43.5% of the hormone‐receptor‐positive groups and 76.9–80.8% of the hormone‐receptor‐negative groups. The detection rate was associated with breast cancer subtypes and clinicopathological features that increased the risk of relapse. Interim analysis after a 15‐month follow‐up revealed post‐operative detection of ctDNA in all three patients that had recurrence, with a lead time of 7–13 months ahead of clinical diagnosis. Our personalized assay is streamlined and affordable with promising clinical utility in residual cancer surveillance. We also generated the first somatic variant dataset for Vietnamese breast cancer women that could lay the foundation for precision cancer medicine in Vietnam. circulating tumor DNA minimal residual disease mutational landscape next‐generation sequencing somatic mutation Neoplasms. Tumors. Oncology. Including cancer and carcinogens Sao Trung Nguyen verfasserin aut Trieu Vu Nguyen verfasserin aut Thanh Huyen Pham verfasserin aut Phuoc Loc Doan verfasserin aut Ngoc Thanh Nguyen Thi verfasserin aut Minh Long Nguyen verfasserin aut Thi Cuc Dinh verfasserin aut Dinh Hoang Pham verfasserin aut Ngoc Mai Nguyen verfasserin aut Duy Sinh Nguyen verfasserin aut Du Quyen Nguyen verfasserin aut Y‐Thanh Lu verfasserin aut Thanh Thuy Thi Do verfasserin aut Dinh Kiet Truong verfasserin aut Minh‐Duy Phan verfasserin aut Hoai‐Nghia Nguyen verfasserin aut Hoa Giang verfasserin aut Lan N. Tu verfasserin aut In Molecular Oncology Wiley, 2017 17(2023), 4, Seite 598-610 (DE-627)531199800 (DE-600)2322586-5 18780261 nnns volume:17 year:2023 number:4 pages:598-610 https://doi.org/10.1002/1878-0261.13356 kostenfrei https://doaj.org/article/cb65bfefe411467fa96cfb5e19731f46 kostenfrei https://doi.org/10.1002/1878-0261.13356 kostenfrei https://doaj.org/toc/1574-7891 Journal toc kostenfrei https://doaj.org/toc/1878-0261 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_636 GBV_ILN_647 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 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_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_4367 GBV_ILN_4700 AR 17 2023 4 598-610 |
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10.1002/1878-0261.13356 doi (DE-627)DOAJ088891410 (DE-599)DOAJcb65bfefe411467fa96cfb5e19731f46 DE-627 ger DE-627 rakwb eng RC254-282 Van‐Anh Nguyen Hoang verfasserin aut Genetic landscape and personalized tracking of tumor mutations in Vietnamese women with breast cancer 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Breast cancer is the leading cause of cancer death in Vietnamese women, but its mutational landscape and actionable alterations for targeted therapies remain unknown. After treatment, a sensitive biomarker to complement conventional imaging to monitor patients is also lacking. In this prospective multi‐center study, 134 early‐stage breast cancer patients eligible for curative‐intent surgery were recruited. Genomic DNA from tumor tissues and paired white blood cells were sequenced to profile all tumor‐derived mutations in 95 cancer‐associated genes. Our bioinformatic algorithm was then utilized to identify top mutations for individual patients. Serial plasma samples were collected before surgery and at scheduled visits after surgery. Personalized assay tracking the selected mutations were performed to detect circulating tumor DNA (ctDNA) in the plasma. We found that the mutational landscape of the Vietnamese was largely similar to other Asian cohorts, showing higher TP53 mutation frequency than in Caucasians. Alterations in PIK3CA and PI3K signaling were dominant, particularly in our triple‐negative subgroup. Using top‐ranked mutations, we detected ctDNA in pre‐operative plasma in 24.6–43.5% of the hormone‐receptor‐positive groups and 76.9–80.8% of the hormone‐receptor‐negative groups. The detection rate was associated with breast cancer subtypes and clinicopathological features that increased the risk of relapse. Interim analysis after a 15‐month follow‐up revealed post‐operative detection of ctDNA in all three patients that had recurrence, with a lead time of 7–13 months ahead of clinical diagnosis. Our personalized assay is streamlined and affordable with promising clinical utility in residual cancer surveillance. We also generated the first somatic variant dataset for Vietnamese breast cancer women that could lay the foundation for precision cancer medicine in Vietnam. circulating tumor DNA minimal residual disease mutational landscape next‐generation sequencing somatic mutation Neoplasms. Tumors. Oncology. Including cancer and carcinogens Sao Trung Nguyen verfasserin aut Trieu Vu Nguyen verfasserin aut Thanh Huyen Pham verfasserin aut Phuoc Loc Doan verfasserin aut Ngoc Thanh Nguyen Thi verfasserin aut Minh Long Nguyen verfasserin aut Thi Cuc Dinh verfasserin aut Dinh Hoang Pham verfasserin aut Ngoc Mai Nguyen verfasserin aut Duy Sinh Nguyen verfasserin aut Du Quyen Nguyen verfasserin aut Y‐Thanh Lu verfasserin aut Thanh Thuy Thi Do verfasserin aut Dinh Kiet Truong verfasserin aut Minh‐Duy Phan verfasserin aut Hoai‐Nghia Nguyen verfasserin aut Hoa Giang verfasserin aut Lan N. Tu verfasserin aut In Molecular Oncology Wiley, 2017 17(2023), 4, Seite 598-610 (DE-627)531199800 (DE-600)2322586-5 18780261 nnns volume:17 year:2023 number:4 pages:598-610 https://doi.org/10.1002/1878-0261.13356 kostenfrei https://doaj.org/article/cb65bfefe411467fa96cfb5e19731f46 kostenfrei https://doi.org/10.1002/1878-0261.13356 kostenfrei https://doaj.org/toc/1574-7891 Journal toc kostenfrei https://doaj.org/toc/1878-0261 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_636 GBV_ILN_647 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 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_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_4367 GBV_ILN_4700 AR 17 2023 4 598-610 |
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10.1002/1878-0261.13356 doi (DE-627)DOAJ088891410 (DE-599)DOAJcb65bfefe411467fa96cfb5e19731f46 DE-627 ger DE-627 rakwb eng RC254-282 Van‐Anh Nguyen Hoang verfasserin aut Genetic landscape and personalized tracking of tumor mutations in Vietnamese women with breast cancer 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Breast cancer is the leading cause of cancer death in Vietnamese women, but its mutational landscape and actionable alterations for targeted therapies remain unknown. After treatment, a sensitive biomarker to complement conventional imaging to monitor patients is also lacking. In this prospective multi‐center study, 134 early‐stage breast cancer patients eligible for curative‐intent surgery were recruited. Genomic DNA from tumor tissues and paired white blood cells were sequenced to profile all tumor‐derived mutations in 95 cancer‐associated genes. Our bioinformatic algorithm was then utilized to identify top mutations for individual patients. Serial plasma samples were collected before surgery and at scheduled visits after surgery. Personalized assay tracking the selected mutations were performed to detect circulating tumor DNA (ctDNA) in the plasma. We found that the mutational landscape of the Vietnamese was largely similar to other Asian cohorts, showing higher TP53 mutation frequency than in Caucasians. Alterations in PIK3CA and PI3K signaling were dominant, particularly in our triple‐negative subgroup. Using top‐ranked mutations, we detected ctDNA in pre‐operative plasma in 24.6–43.5% of the hormone‐receptor‐positive groups and 76.9–80.8% of the hormone‐receptor‐negative groups. The detection rate was associated with breast cancer subtypes and clinicopathological features that increased the risk of relapse. Interim analysis after a 15‐month follow‐up revealed post‐operative detection of ctDNA in all three patients that had recurrence, with a lead time of 7–13 months ahead of clinical diagnosis. Our personalized assay is streamlined and affordable with promising clinical utility in residual cancer surveillance. We also generated the first somatic variant dataset for Vietnamese breast cancer women that could lay the foundation for precision cancer medicine in Vietnam. circulating tumor DNA minimal residual disease mutational landscape next‐generation sequencing somatic mutation Neoplasms. Tumors. Oncology. Including cancer and carcinogens Sao Trung Nguyen verfasserin aut Trieu Vu Nguyen verfasserin aut Thanh Huyen Pham verfasserin aut Phuoc Loc Doan verfasserin aut Ngoc Thanh Nguyen Thi verfasserin aut Minh Long Nguyen verfasserin aut Thi Cuc Dinh verfasserin aut Dinh Hoang Pham verfasserin aut Ngoc Mai Nguyen verfasserin aut Duy Sinh Nguyen verfasserin aut Du Quyen Nguyen verfasserin aut Y‐Thanh Lu verfasserin aut Thanh Thuy Thi Do verfasserin aut Dinh Kiet Truong verfasserin aut Minh‐Duy Phan verfasserin aut Hoai‐Nghia Nguyen verfasserin aut Hoa Giang verfasserin aut Lan N. Tu verfasserin aut In Molecular Oncology Wiley, 2017 17(2023), 4, Seite 598-610 (DE-627)531199800 (DE-600)2322586-5 18780261 nnns volume:17 year:2023 number:4 pages:598-610 https://doi.org/10.1002/1878-0261.13356 kostenfrei https://doaj.org/article/cb65bfefe411467fa96cfb5e19731f46 kostenfrei https://doi.org/10.1002/1878-0261.13356 kostenfrei https://doaj.org/toc/1574-7891 Journal toc kostenfrei https://doaj.org/toc/1878-0261 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_636 GBV_ILN_647 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 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_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_4367 GBV_ILN_4700 AR 17 2023 4 598-610 |
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Van‐Anh Nguyen Hoang @@aut@@ Sao Trung Nguyen @@aut@@ Trieu Vu Nguyen @@aut@@ Thanh Huyen Pham @@aut@@ Phuoc Loc Doan @@aut@@ Ngoc Thanh Nguyen Thi @@aut@@ Minh Long Nguyen @@aut@@ Thi Cuc Dinh @@aut@@ Dinh Hoang Pham @@aut@@ Ngoc Mai Nguyen @@aut@@ Duy Sinh Nguyen @@aut@@ Du Quyen Nguyen @@aut@@ Y‐Thanh Lu @@aut@@ Thanh Thuy Thi Do @@aut@@ Dinh Kiet Truong @@aut@@ Minh‐Duy Phan @@aut@@ Hoai‐Nghia Nguyen @@aut@@ Hoa Giang @@aut@@ Lan N. Tu @@aut@@ |
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Van‐Anh Nguyen Hoang |
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Van‐Anh Nguyen Hoang misc RC254-282 misc circulating tumor DNA misc minimal residual disease misc mutational landscape misc next‐generation sequencing misc somatic mutation misc Neoplasms. Tumors. Oncology. Including cancer and carcinogens Genetic landscape and personalized tracking of tumor mutations in Vietnamese women with breast cancer |
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RC254-282 Genetic landscape and personalized tracking of tumor mutations in Vietnamese women with breast cancer circulating tumor DNA minimal residual disease mutational landscape next‐generation sequencing somatic mutation |
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Van‐Anh Nguyen Hoang Sao Trung Nguyen Trieu Vu Nguyen Thanh Huyen Pham Phuoc Loc Doan Ngoc Thanh Nguyen Thi Minh Long Nguyen Thi Cuc Dinh Dinh Hoang Pham Ngoc Mai Nguyen Duy Sinh Nguyen Du Quyen Nguyen Y‐Thanh Lu Thanh Thuy Thi Do Dinh Kiet Truong Minh‐Duy Phan Hoai‐Nghia Nguyen Hoa Giang Lan N. Tu |
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genetic landscape and personalized tracking of tumor mutations in vietnamese women with breast cancer |
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Genetic landscape and personalized tracking of tumor mutations in Vietnamese women with breast cancer |
abstract |
Breast cancer is the leading cause of cancer death in Vietnamese women, but its mutational landscape and actionable alterations for targeted therapies remain unknown. After treatment, a sensitive biomarker to complement conventional imaging to monitor patients is also lacking. In this prospective multi‐center study, 134 early‐stage breast cancer patients eligible for curative‐intent surgery were recruited. Genomic DNA from tumor tissues and paired white blood cells were sequenced to profile all tumor‐derived mutations in 95 cancer‐associated genes. Our bioinformatic algorithm was then utilized to identify top mutations for individual patients. Serial plasma samples were collected before surgery and at scheduled visits after surgery. Personalized assay tracking the selected mutations were performed to detect circulating tumor DNA (ctDNA) in the plasma. We found that the mutational landscape of the Vietnamese was largely similar to other Asian cohorts, showing higher TP53 mutation frequency than in Caucasians. Alterations in PIK3CA and PI3K signaling were dominant, particularly in our triple‐negative subgroup. Using top‐ranked mutations, we detected ctDNA in pre‐operative plasma in 24.6–43.5% of the hormone‐receptor‐positive groups and 76.9–80.8% of the hormone‐receptor‐negative groups. The detection rate was associated with breast cancer subtypes and clinicopathological features that increased the risk of relapse. Interim analysis after a 15‐month follow‐up revealed post‐operative detection of ctDNA in all three patients that had recurrence, with a lead time of 7–13 months ahead of clinical diagnosis. Our personalized assay is streamlined and affordable with promising clinical utility in residual cancer surveillance. We also generated the first somatic variant dataset for Vietnamese breast cancer women that could lay the foundation for precision cancer medicine in Vietnam. |
abstractGer |
Breast cancer is the leading cause of cancer death in Vietnamese women, but its mutational landscape and actionable alterations for targeted therapies remain unknown. After treatment, a sensitive biomarker to complement conventional imaging to monitor patients is also lacking. In this prospective multi‐center study, 134 early‐stage breast cancer patients eligible for curative‐intent surgery were recruited. Genomic DNA from tumor tissues and paired white blood cells were sequenced to profile all tumor‐derived mutations in 95 cancer‐associated genes. Our bioinformatic algorithm was then utilized to identify top mutations for individual patients. Serial plasma samples were collected before surgery and at scheduled visits after surgery. Personalized assay tracking the selected mutations were performed to detect circulating tumor DNA (ctDNA) in the plasma. We found that the mutational landscape of the Vietnamese was largely similar to other Asian cohorts, showing higher TP53 mutation frequency than in Caucasians. Alterations in PIK3CA and PI3K signaling were dominant, particularly in our triple‐negative subgroup. Using top‐ranked mutations, we detected ctDNA in pre‐operative plasma in 24.6–43.5% of the hormone‐receptor‐positive groups and 76.9–80.8% of the hormone‐receptor‐negative groups. The detection rate was associated with breast cancer subtypes and clinicopathological features that increased the risk of relapse. Interim analysis after a 15‐month follow‐up revealed post‐operative detection of ctDNA in all three patients that had recurrence, with a lead time of 7–13 months ahead of clinical diagnosis. Our personalized assay is streamlined and affordable with promising clinical utility in residual cancer surveillance. We also generated the first somatic variant dataset for Vietnamese breast cancer women that could lay the foundation for precision cancer medicine in Vietnam. |
abstract_unstemmed |
Breast cancer is the leading cause of cancer death in Vietnamese women, but its mutational landscape and actionable alterations for targeted therapies remain unknown. After treatment, a sensitive biomarker to complement conventional imaging to monitor patients is also lacking. In this prospective multi‐center study, 134 early‐stage breast cancer patients eligible for curative‐intent surgery were recruited. Genomic DNA from tumor tissues and paired white blood cells were sequenced to profile all tumor‐derived mutations in 95 cancer‐associated genes. Our bioinformatic algorithm was then utilized to identify top mutations for individual patients. Serial plasma samples were collected before surgery and at scheduled visits after surgery. Personalized assay tracking the selected mutations were performed to detect circulating tumor DNA (ctDNA) in the plasma. We found that the mutational landscape of the Vietnamese was largely similar to other Asian cohorts, showing higher TP53 mutation frequency than in Caucasians. Alterations in PIK3CA and PI3K signaling were dominant, particularly in our triple‐negative subgroup. Using top‐ranked mutations, we detected ctDNA in pre‐operative plasma in 24.6–43.5% of the hormone‐receptor‐positive groups and 76.9–80.8% of the hormone‐receptor‐negative groups. The detection rate was associated with breast cancer subtypes and clinicopathological features that increased the risk of relapse. Interim analysis after a 15‐month follow‐up revealed post‐operative detection of ctDNA in all three patients that had recurrence, with a lead time of 7–13 months ahead of clinical diagnosis. Our personalized assay is streamlined and affordable with promising clinical utility in residual cancer surveillance. We also generated the first somatic variant dataset for Vietnamese breast cancer women that could lay the foundation for precision cancer medicine in Vietnam. |
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Genetic landscape and personalized tracking of tumor mutations in Vietnamese women with breast cancer |
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https://doi.org/10.1002/1878-0261.13356 https://doaj.org/article/cb65bfefe411467fa96cfb5e19731f46 https://doaj.org/toc/1574-7891 https://doaj.org/toc/1878-0261 |
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Sao Trung Nguyen Trieu Vu Nguyen Thanh Huyen Pham Phuoc Loc Doan Ngoc Thanh Nguyen Thi Minh Long Nguyen Thi Cuc Dinh Dinh Hoang Pham Ngoc Mai Nguyen Duy Sinh Nguyen Du Quyen Nguyen Y‐Thanh Lu Thanh Thuy Thi Do Dinh Kiet Truong Minh‐Duy Phan Hoai‐Nghia Nguyen Hoa Giang Lan N. Tu |
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Sao Trung Nguyen Trieu Vu Nguyen Thanh Huyen Pham Phuoc Loc Doan Ngoc Thanh Nguyen Thi Minh Long Nguyen Thi Cuc Dinh Dinh Hoang Pham Ngoc Mai Nguyen Duy Sinh Nguyen Du Quyen Nguyen Y‐Thanh Lu Thanh Thuy Thi Do Dinh Kiet Truong Minh‐Duy Phan Hoai‐Nghia Nguyen Hoa Giang Lan N. Tu |
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10.1002/1878-0261.13356 |
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up_date |
2024-07-03T20:04:43.496Z |
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|
score |
7.3975925 |