Comprehensive cancer-oriented biobanking resource of human samples for studies of post-zygotic genetic variation involved in cancer predisposition.
The progress in translational cancer research relies on access to well-characterized samples from a representative number of patients and controls. The rationale behind our biobanking are explorations of post-zygotic pathogenic gene variants, especially in non-tumoral tissue, which might predispose...
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2022 |
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| Übergeordnetes Werk: |
In: PLoS ONE - Public Library of Science (PLoS), 2007, 17(2022), 4, p e0266111 |
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| Übergeordnetes Werk: |
volume:17 ; year:2022 ; number:4, p e0266111 |
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| DOI / URN: |
10.1371/journal.pone.0266111 |
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DOAJ028236726 |
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| 245 | 1 | 0 | |a Comprehensive cancer-oriented biobanking resource of human samples for studies of post-zygotic genetic variation involved in cancer predisposition. |
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| 520 | |a The progress in translational cancer research relies on access to well-characterized samples from a representative number of patients and controls. The rationale behind our biobanking are explorations of post-zygotic pathogenic gene variants, especially in non-tumoral tissue, which might predispose to cancers. The targeted diagnoses are carcinomas of the breast (via mastectomy or breast conserving surgery), colon and rectum, prostate, and urinary bladder (via cystectomy or transurethral resection), exocrine pancreatic carcinoma as well as metastases of colorectal cancer to the liver. The choice was based on the high incidence of these cancers and/or frequent fatal outcome. We also collect age-matched normal controls. Our still ongoing collection originates from five clinical centers and after nearly 2-year cooperation reached 1711 patients and controls, yielding a total of 23226 independent samples, with an average of 74 donors and 1010 samples collected per month. The predominant diagnosis is breast carcinoma, with 933 donors, followed by colorectal carcinoma (383 donors), prostate carcinoma (221 donors), bladder carcinoma (81 donors), exocrine pancreatic carcinoma (15 donors) and metachronous colorectal cancer metastases to liver (14 donors). Forty percent of the total sample count originates from macroscopically healthy cancer-neighboring tissue, while contribution from tumors is 12%, which adds to the uniqueness of our collection for cancer predisposition studies. Moreover, we developed two program packages, enabling registration of patients, clinical data and samples at the participating hospitals as well as the central system of sample/data management at coordinating center. The approach used by us may serve as a model for dispersed biobanking from multiple satellite hospitals. Our biobanking resource ought to stimulate research into genetic mechanisms underlying the development of common cancers. It will allow all available "-omics" approaches on DNA-, RNA-, protein- and tissue levels to be applied. The collected samples can be made available to other research groups. | ||
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10.1371/journal.pone.0266111 doi (DE-627)DOAJ028236726 (DE-599)DOAJb558d36b91ac463bb740f5c0a9b37da2 DE-627 ger DE-627 rakwb eng Natalia Filipowicz verfasserin aut Comprehensive cancer-oriented biobanking resource of human samples for studies of post-zygotic genetic variation involved in cancer predisposition. 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The progress in translational cancer research relies on access to well-characterized samples from a representative number of patients and controls. The rationale behind our biobanking are explorations of post-zygotic pathogenic gene variants, especially in non-tumoral tissue, which might predispose to cancers. The targeted diagnoses are carcinomas of the breast (via mastectomy or breast conserving surgery), colon and rectum, prostate, and urinary bladder (via cystectomy or transurethral resection), exocrine pancreatic carcinoma as well as metastases of colorectal cancer to the liver. The choice was based on the high incidence of these cancers and/or frequent fatal outcome. We also collect age-matched normal controls. Our still ongoing collection originates from five clinical centers and after nearly 2-year cooperation reached 1711 patients and controls, yielding a total of 23226 independent samples, with an average of 74 donors and 1010 samples collected per month. The predominant diagnosis is breast carcinoma, with 933 donors, followed by colorectal carcinoma (383 donors), prostate carcinoma (221 donors), bladder carcinoma (81 donors), exocrine pancreatic carcinoma (15 donors) and metachronous colorectal cancer metastases to liver (14 donors). Forty percent of the total sample count originates from macroscopically healthy cancer-neighboring tissue, while contribution from tumors is 12%, which adds to the uniqueness of our collection for cancer predisposition studies. Moreover, we developed two program packages, enabling registration of patients, clinical data and samples at the participating hospitals as well as the central system of sample/data management at coordinating center. The approach used by us may serve as a model for dispersed biobanking from multiple satellite hospitals. Our biobanking resource ought to stimulate research into genetic mechanisms underlying the development of common cancers. It will allow all available "-omics" approaches on DNA-, RNA-, protein- and tissue levels to be applied. The collected samples can be made available to other research groups. Medicine R Science Q Kinga Drężek verfasserin aut Monika Horbacz verfasserin aut Agata Wojdak verfasserin aut Jakub Szymanowski verfasserin aut Edyta Rychlicka-Buniowska verfasserin aut Ulana Juhas verfasserin aut Katarzyna Duzowska verfasserin aut Tomasz Nowikiewicz verfasserin aut Wiktoria Stańkowska verfasserin aut Katarzyna Chojnowska verfasserin aut Maria Andreou verfasserin aut Urszula Ławrynowicz verfasserin aut Magdalena Wójcik verfasserin aut Hanna Davies verfasserin aut Ewa Śrutek verfasserin aut Michał Bieńkowski verfasserin aut Katarzyna Milian-Ciesielska verfasserin aut Marek Zdrenka verfasserin aut Aleksandra Ambicka verfasserin aut Marcin Przewoźnik verfasserin aut Agnieszka Harazin-Lechowska verfasserin aut Agnieszka Adamczyk verfasserin aut Jacek Kowalski verfasserin aut Dariusz Bała verfasserin aut Dorian Wiśniewski verfasserin aut Karol Tkaczyński verfasserin aut Krzysztof Kamecki verfasserin aut Marta Drzewiecka verfasserin aut Paweł Wroński verfasserin aut Jerzy Siekiera verfasserin aut Izabela Ratnicka verfasserin aut Jerzy Jankau verfasserin aut Karol Wierzba verfasserin aut Jarosław Skokowski verfasserin aut Karol Połom verfasserin aut Mikołaj Przydacz verfasserin aut Łukasz Bełch verfasserin aut Piotr Chłosta verfasserin aut Marcin Matuszewski verfasserin aut Krzysztof Okoń verfasserin aut Olga Rostkowska verfasserin aut Andrzej Hellmann verfasserin aut Karol Sasim verfasserin aut Piotr Remiszewski verfasserin aut Marek Sierżęga verfasserin aut Stanisław Hać verfasserin aut Jarosław Kobiela verfasserin aut Łukasz Kaska verfasserin aut Michał Jankowski verfasserin aut Diana Hodorowicz-Zaniewska verfasserin aut Janusz Jaszczyński verfasserin aut Wojciech Zegarski verfasserin aut Wojciech Makarewicz verfasserin aut Rafał Pęksa verfasserin aut Joanna Szpor verfasserin aut Janusz Ryś verfasserin aut Łukasz Szylberg verfasserin aut Arkadiusz Piotrowski verfasserin aut Jan P Dumanski verfasserin aut In PLoS ONE Public Library of Science (PLoS), 2007 17(2022), 4, p e0266111 (DE-627)523574592 (DE-600)2267670-3 19326203 nnns volume:17 year:2022 number:4, p e0266111 https://doi.org/10.1371/journal.pone.0266111 kostenfrei https://doaj.org/article/b558d36b91ac463bb740f5c0a9b37da2 kostenfrei https://doi.org/10.1371/journal.pone.0266111 kostenfrei https://doaj.org/toc/1932-6203 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_34 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_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_235 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 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_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 17 2022 4, p e0266111 |
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10.1371/journal.pone.0266111 doi (DE-627)DOAJ028236726 (DE-599)DOAJb558d36b91ac463bb740f5c0a9b37da2 DE-627 ger DE-627 rakwb eng Natalia Filipowicz verfasserin aut Comprehensive cancer-oriented biobanking resource of human samples for studies of post-zygotic genetic variation involved in cancer predisposition. 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The progress in translational cancer research relies on access to well-characterized samples from a representative number of patients and controls. The rationale behind our biobanking are explorations of post-zygotic pathogenic gene variants, especially in non-tumoral tissue, which might predispose to cancers. The targeted diagnoses are carcinomas of the breast (via mastectomy or breast conserving surgery), colon and rectum, prostate, and urinary bladder (via cystectomy or transurethral resection), exocrine pancreatic carcinoma as well as metastases of colorectal cancer to the liver. The choice was based on the high incidence of these cancers and/or frequent fatal outcome. We also collect age-matched normal controls. Our still ongoing collection originates from five clinical centers and after nearly 2-year cooperation reached 1711 patients and controls, yielding a total of 23226 independent samples, with an average of 74 donors and 1010 samples collected per month. The predominant diagnosis is breast carcinoma, with 933 donors, followed by colorectal carcinoma (383 donors), prostate carcinoma (221 donors), bladder carcinoma (81 donors), exocrine pancreatic carcinoma (15 donors) and metachronous colorectal cancer metastases to liver (14 donors). Forty percent of the total sample count originates from macroscopically healthy cancer-neighboring tissue, while contribution from tumors is 12%, which adds to the uniqueness of our collection for cancer predisposition studies. Moreover, we developed two program packages, enabling registration of patients, clinical data and samples at the participating hospitals as well as the central system of sample/data management at coordinating center. The approach used by us may serve as a model for dispersed biobanking from multiple satellite hospitals. Our biobanking resource ought to stimulate research into genetic mechanisms underlying the development of common cancers. It will allow all available "-omics" approaches on DNA-, RNA-, protein- and tissue levels to be applied. The collected samples can be made available to other research groups. Medicine R Science Q Kinga Drężek verfasserin aut Monika Horbacz verfasserin aut Agata Wojdak verfasserin aut Jakub Szymanowski verfasserin aut Edyta Rychlicka-Buniowska verfasserin aut Ulana Juhas verfasserin aut Katarzyna Duzowska verfasserin aut Tomasz Nowikiewicz verfasserin aut Wiktoria Stańkowska verfasserin aut Katarzyna Chojnowska verfasserin aut Maria Andreou verfasserin aut Urszula Ławrynowicz verfasserin aut Magdalena Wójcik verfasserin aut Hanna Davies verfasserin aut Ewa Śrutek verfasserin aut Michał Bieńkowski verfasserin aut Katarzyna Milian-Ciesielska verfasserin aut Marek Zdrenka verfasserin aut Aleksandra Ambicka verfasserin aut Marcin Przewoźnik verfasserin aut Agnieszka Harazin-Lechowska verfasserin aut Agnieszka Adamczyk verfasserin aut Jacek Kowalski verfasserin aut Dariusz Bała verfasserin aut Dorian Wiśniewski verfasserin aut Karol Tkaczyński verfasserin aut Krzysztof Kamecki verfasserin aut Marta Drzewiecka verfasserin aut Paweł Wroński verfasserin aut Jerzy Siekiera verfasserin aut Izabela Ratnicka verfasserin aut Jerzy Jankau verfasserin aut Karol Wierzba verfasserin aut Jarosław Skokowski verfasserin aut Karol Połom verfasserin aut Mikołaj Przydacz verfasserin aut Łukasz Bełch verfasserin aut Piotr Chłosta verfasserin aut Marcin Matuszewski verfasserin aut Krzysztof Okoń verfasserin aut Olga Rostkowska verfasserin aut Andrzej Hellmann verfasserin aut Karol Sasim verfasserin aut Piotr Remiszewski verfasserin aut Marek Sierżęga verfasserin aut Stanisław Hać verfasserin aut Jarosław Kobiela verfasserin aut Łukasz Kaska verfasserin aut Michał Jankowski verfasserin aut Diana Hodorowicz-Zaniewska verfasserin aut Janusz Jaszczyński verfasserin aut Wojciech Zegarski verfasserin aut Wojciech Makarewicz verfasserin aut Rafał Pęksa verfasserin aut Joanna Szpor verfasserin aut Janusz Ryś verfasserin aut Łukasz Szylberg verfasserin aut Arkadiusz Piotrowski verfasserin aut Jan P Dumanski verfasserin aut In PLoS ONE Public Library of Science (PLoS), 2007 17(2022), 4, p e0266111 (DE-627)523574592 (DE-600)2267670-3 19326203 nnns volume:17 year:2022 number:4, p e0266111 https://doi.org/10.1371/journal.pone.0266111 kostenfrei https://doaj.org/article/b558d36b91ac463bb740f5c0a9b37da2 kostenfrei https://doi.org/10.1371/journal.pone.0266111 kostenfrei https://doaj.org/toc/1932-6203 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_34 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_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_235 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 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_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 17 2022 4, p e0266111 |
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10.1371/journal.pone.0266111 doi (DE-627)DOAJ028236726 (DE-599)DOAJb558d36b91ac463bb740f5c0a9b37da2 DE-627 ger DE-627 rakwb eng Natalia Filipowicz verfasserin aut Comprehensive cancer-oriented biobanking resource of human samples for studies of post-zygotic genetic variation involved in cancer predisposition. 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The progress in translational cancer research relies on access to well-characterized samples from a representative number of patients and controls. The rationale behind our biobanking are explorations of post-zygotic pathogenic gene variants, especially in non-tumoral tissue, which might predispose to cancers. The targeted diagnoses are carcinomas of the breast (via mastectomy or breast conserving surgery), colon and rectum, prostate, and urinary bladder (via cystectomy or transurethral resection), exocrine pancreatic carcinoma as well as metastases of colorectal cancer to the liver. The choice was based on the high incidence of these cancers and/or frequent fatal outcome. We also collect age-matched normal controls. Our still ongoing collection originates from five clinical centers and after nearly 2-year cooperation reached 1711 patients and controls, yielding a total of 23226 independent samples, with an average of 74 donors and 1010 samples collected per month. The predominant diagnosis is breast carcinoma, with 933 donors, followed by colorectal carcinoma (383 donors), prostate carcinoma (221 donors), bladder carcinoma (81 donors), exocrine pancreatic carcinoma (15 donors) and metachronous colorectal cancer metastases to liver (14 donors). Forty percent of the total sample count originates from macroscopically healthy cancer-neighboring tissue, while contribution from tumors is 12%, which adds to the uniqueness of our collection for cancer predisposition studies. Moreover, we developed two program packages, enabling registration of patients, clinical data and samples at the participating hospitals as well as the central system of sample/data management at coordinating center. The approach used by us may serve as a model for dispersed biobanking from multiple satellite hospitals. Our biobanking resource ought to stimulate research into genetic mechanisms underlying the development of common cancers. It will allow all available "-omics" approaches on DNA-, RNA-, protein- and tissue levels to be applied. The collected samples can be made available to other research groups. Medicine R Science Q Kinga Drężek verfasserin aut Monika Horbacz verfasserin aut Agata Wojdak verfasserin aut Jakub Szymanowski verfasserin aut Edyta Rychlicka-Buniowska verfasserin aut Ulana Juhas verfasserin aut Katarzyna Duzowska verfasserin aut Tomasz Nowikiewicz verfasserin aut Wiktoria Stańkowska verfasserin aut Katarzyna Chojnowska verfasserin aut Maria Andreou verfasserin aut Urszula Ławrynowicz verfasserin aut Magdalena Wójcik verfasserin aut Hanna Davies verfasserin aut Ewa Śrutek verfasserin aut Michał Bieńkowski verfasserin aut Katarzyna Milian-Ciesielska verfasserin aut Marek Zdrenka verfasserin aut Aleksandra Ambicka verfasserin aut Marcin Przewoźnik verfasserin aut Agnieszka Harazin-Lechowska verfasserin aut Agnieszka Adamczyk verfasserin aut Jacek Kowalski verfasserin aut Dariusz Bała verfasserin aut Dorian Wiśniewski verfasserin aut Karol Tkaczyński verfasserin aut Krzysztof Kamecki verfasserin aut Marta Drzewiecka verfasserin aut Paweł Wroński verfasserin aut Jerzy Siekiera verfasserin aut Izabela Ratnicka verfasserin aut Jerzy Jankau verfasserin aut Karol Wierzba verfasserin aut Jarosław Skokowski verfasserin aut Karol Połom verfasserin aut Mikołaj Przydacz verfasserin aut Łukasz Bełch verfasserin aut Piotr Chłosta verfasserin aut Marcin Matuszewski verfasserin aut Krzysztof Okoń verfasserin aut Olga Rostkowska verfasserin aut Andrzej Hellmann verfasserin aut Karol Sasim verfasserin aut Piotr Remiszewski verfasserin aut Marek Sierżęga verfasserin aut Stanisław Hać verfasserin aut Jarosław Kobiela verfasserin aut Łukasz Kaska verfasserin aut Michał Jankowski verfasserin aut Diana Hodorowicz-Zaniewska verfasserin aut Janusz Jaszczyński verfasserin aut Wojciech Zegarski verfasserin aut Wojciech Makarewicz verfasserin aut Rafał Pęksa verfasserin aut Joanna Szpor verfasserin aut Janusz Ryś verfasserin aut Łukasz Szylberg verfasserin aut Arkadiusz Piotrowski verfasserin aut Jan P Dumanski verfasserin aut In PLoS ONE Public Library of Science (PLoS), 2007 17(2022), 4, p e0266111 (DE-627)523574592 (DE-600)2267670-3 19326203 nnns volume:17 year:2022 number:4, p e0266111 https://doi.org/10.1371/journal.pone.0266111 kostenfrei https://doaj.org/article/b558d36b91ac463bb740f5c0a9b37da2 kostenfrei https://doi.org/10.1371/journal.pone.0266111 kostenfrei https://doaj.org/toc/1932-6203 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_34 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_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_235 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 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_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 17 2022 4, p e0266111 |
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10.1371/journal.pone.0266111 doi (DE-627)DOAJ028236726 (DE-599)DOAJb558d36b91ac463bb740f5c0a9b37da2 DE-627 ger DE-627 rakwb eng Natalia Filipowicz verfasserin aut Comprehensive cancer-oriented biobanking resource of human samples for studies of post-zygotic genetic variation involved in cancer predisposition. 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The progress in translational cancer research relies on access to well-characterized samples from a representative number of patients and controls. The rationale behind our biobanking are explorations of post-zygotic pathogenic gene variants, especially in non-tumoral tissue, which might predispose to cancers. The targeted diagnoses are carcinomas of the breast (via mastectomy or breast conserving surgery), colon and rectum, prostate, and urinary bladder (via cystectomy or transurethral resection), exocrine pancreatic carcinoma as well as metastases of colorectal cancer to the liver. The choice was based on the high incidence of these cancers and/or frequent fatal outcome. We also collect age-matched normal controls. Our still ongoing collection originates from five clinical centers and after nearly 2-year cooperation reached 1711 patients and controls, yielding a total of 23226 independent samples, with an average of 74 donors and 1010 samples collected per month. The predominant diagnosis is breast carcinoma, with 933 donors, followed by colorectal carcinoma (383 donors), prostate carcinoma (221 donors), bladder carcinoma (81 donors), exocrine pancreatic carcinoma (15 donors) and metachronous colorectal cancer metastases to liver (14 donors). Forty percent of the total sample count originates from macroscopically healthy cancer-neighboring tissue, while contribution from tumors is 12%, which adds to the uniqueness of our collection for cancer predisposition studies. Moreover, we developed two program packages, enabling registration of patients, clinical data and samples at the participating hospitals as well as the central system of sample/data management at coordinating center. The approach used by us may serve as a model for dispersed biobanking from multiple satellite hospitals. Our biobanking resource ought to stimulate research into genetic mechanisms underlying the development of common cancers. It will allow all available "-omics" approaches on DNA-, RNA-, protein- and tissue levels to be applied. The collected samples can be made available to other research groups. Medicine R Science Q Kinga Drężek verfasserin aut Monika Horbacz verfasserin aut Agata Wojdak verfasserin aut Jakub Szymanowski verfasserin aut Edyta Rychlicka-Buniowska verfasserin aut Ulana Juhas verfasserin aut Katarzyna Duzowska verfasserin aut Tomasz Nowikiewicz verfasserin aut Wiktoria Stańkowska verfasserin aut Katarzyna Chojnowska verfasserin aut Maria Andreou verfasserin aut Urszula Ławrynowicz verfasserin aut Magdalena Wójcik verfasserin aut Hanna Davies verfasserin aut Ewa Śrutek verfasserin aut Michał Bieńkowski verfasserin aut Katarzyna Milian-Ciesielska verfasserin aut Marek Zdrenka verfasserin aut Aleksandra Ambicka verfasserin aut Marcin Przewoźnik verfasserin aut Agnieszka Harazin-Lechowska verfasserin aut Agnieszka Adamczyk verfasserin aut Jacek Kowalski verfasserin aut Dariusz Bała verfasserin aut Dorian Wiśniewski verfasserin aut Karol Tkaczyński verfasserin aut Krzysztof Kamecki verfasserin aut Marta Drzewiecka verfasserin aut Paweł Wroński verfasserin aut Jerzy Siekiera verfasserin aut Izabela Ratnicka verfasserin aut Jerzy Jankau verfasserin aut Karol Wierzba verfasserin aut Jarosław Skokowski verfasserin aut Karol Połom verfasserin aut Mikołaj Przydacz verfasserin aut Łukasz Bełch verfasserin aut Piotr Chłosta verfasserin aut Marcin Matuszewski verfasserin aut Krzysztof Okoń verfasserin aut Olga Rostkowska verfasserin aut Andrzej Hellmann verfasserin aut Karol Sasim verfasserin aut Piotr Remiszewski verfasserin aut Marek Sierżęga verfasserin aut Stanisław Hać verfasserin aut Jarosław Kobiela verfasserin aut Łukasz Kaska verfasserin aut Michał Jankowski verfasserin aut Diana Hodorowicz-Zaniewska verfasserin aut Janusz Jaszczyński verfasserin aut Wojciech Zegarski verfasserin aut Wojciech Makarewicz verfasserin aut Rafał Pęksa verfasserin aut Joanna Szpor verfasserin aut Janusz Ryś verfasserin aut Łukasz Szylberg verfasserin aut Arkadiusz Piotrowski verfasserin aut Jan P Dumanski verfasserin aut In PLoS ONE Public Library of Science (PLoS), 2007 17(2022), 4, p e0266111 (DE-627)523574592 (DE-600)2267670-3 19326203 nnns volume:17 year:2022 number:4, p e0266111 https://doi.org/10.1371/journal.pone.0266111 kostenfrei https://doaj.org/article/b558d36b91ac463bb740f5c0a9b37da2 kostenfrei https://doi.org/10.1371/journal.pone.0266111 kostenfrei https://doaj.org/toc/1932-6203 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_34 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_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_235 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 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_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 17 2022 4, p e0266111 |
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10.1371/journal.pone.0266111 doi (DE-627)DOAJ028236726 (DE-599)DOAJb558d36b91ac463bb740f5c0a9b37da2 DE-627 ger DE-627 rakwb eng Natalia Filipowicz verfasserin aut Comprehensive cancer-oriented biobanking resource of human samples for studies of post-zygotic genetic variation involved in cancer predisposition. 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The progress in translational cancer research relies on access to well-characterized samples from a representative number of patients and controls. The rationale behind our biobanking are explorations of post-zygotic pathogenic gene variants, especially in non-tumoral tissue, which might predispose to cancers. The targeted diagnoses are carcinomas of the breast (via mastectomy or breast conserving surgery), colon and rectum, prostate, and urinary bladder (via cystectomy or transurethral resection), exocrine pancreatic carcinoma as well as metastases of colorectal cancer to the liver. The choice was based on the high incidence of these cancers and/or frequent fatal outcome. We also collect age-matched normal controls. Our still ongoing collection originates from five clinical centers and after nearly 2-year cooperation reached 1711 patients and controls, yielding a total of 23226 independent samples, with an average of 74 donors and 1010 samples collected per month. The predominant diagnosis is breast carcinoma, with 933 donors, followed by colorectal carcinoma (383 donors), prostate carcinoma (221 donors), bladder carcinoma (81 donors), exocrine pancreatic carcinoma (15 donors) and metachronous colorectal cancer metastases to liver (14 donors). Forty percent of the total sample count originates from macroscopically healthy cancer-neighboring tissue, while contribution from tumors is 12%, which adds to the uniqueness of our collection for cancer predisposition studies. Moreover, we developed two program packages, enabling registration of patients, clinical data and samples at the participating hospitals as well as the central system of sample/data management at coordinating center. The approach used by us may serve as a model for dispersed biobanking from multiple satellite hospitals. Our biobanking resource ought to stimulate research into genetic mechanisms underlying the development of common cancers. It will allow all available "-omics" approaches on DNA-, RNA-, protein- and tissue levels to be applied. The collected samples can be made available to other research groups. Medicine R Science Q Kinga Drężek verfasserin aut Monika Horbacz verfasserin aut Agata Wojdak verfasserin aut Jakub Szymanowski verfasserin aut Edyta Rychlicka-Buniowska verfasserin aut Ulana Juhas verfasserin aut Katarzyna Duzowska verfasserin aut Tomasz Nowikiewicz verfasserin aut Wiktoria Stańkowska verfasserin aut Katarzyna Chojnowska verfasserin aut Maria Andreou verfasserin aut Urszula Ławrynowicz verfasserin aut Magdalena Wójcik verfasserin aut Hanna Davies verfasserin aut Ewa Śrutek verfasserin aut Michał Bieńkowski verfasserin aut Katarzyna Milian-Ciesielska verfasserin aut Marek Zdrenka verfasserin aut Aleksandra Ambicka verfasserin aut Marcin Przewoźnik verfasserin aut Agnieszka Harazin-Lechowska verfasserin aut Agnieszka Adamczyk verfasserin aut Jacek Kowalski verfasserin aut Dariusz Bała verfasserin aut Dorian Wiśniewski verfasserin aut Karol Tkaczyński verfasserin aut Krzysztof Kamecki verfasserin aut Marta Drzewiecka verfasserin aut Paweł Wroński verfasserin aut Jerzy Siekiera verfasserin aut Izabela Ratnicka verfasserin aut Jerzy Jankau verfasserin aut Karol Wierzba verfasserin aut Jarosław Skokowski verfasserin aut Karol Połom verfasserin aut Mikołaj Przydacz verfasserin aut Łukasz Bełch verfasserin aut Piotr Chłosta verfasserin aut Marcin Matuszewski verfasserin aut Krzysztof Okoń verfasserin aut Olga Rostkowska verfasserin aut Andrzej Hellmann verfasserin aut Karol Sasim verfasserin aut Piotr Remiszewski verfasserin aut Marek Sierżęga verfasserin aut Stanisław Hać verfasserin aut Jarosław Kobiela verfasserin aut Łukasz Kaska verfasserin aut Michał Jankowski verfasserin aut Diana Hodorowicz-Zaniewska verfasserin aut Janusz Jaszczyński verfasserin aut Wojciech Zegarski verfasserin aut Wojciech Makarewicz verfasserin aut Rafał Pęksa verfasserin aut Joanna Szpor verfasserin aut Janusz Ryś verfasserin aut Łukasz Szylberg verfasserin aut Arkadiusz Piotrowski verfasserin aut Jan P Dumanski verfasserin aut In PLoS ONE Public Library of Science (PLoS), 2007 17(2022), 4, p e0266111 (DE-627)523574592 (DE-600)2267670-3 19326203 nnns volume:17 year:2022 number:4, p e0266111 https://doi.org/10.1371/journal.pone.0266111 kostenfrei https://doaj.org/article/b558d36b91ac463bb740f5c0a9b37da2 kostenfrei https://doi.org/10.1371/journal.pone.0266111 kostenfrei https://doaj.org/toc/1932-6203 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_34 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_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_235 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 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_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 17 2022 4, p e0266111 |
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PLoS ONE |
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Natalia Filipowicz @@aut@@ Kinga Drężek @@aut@@ Monika Horbacz @@aut@@ Agata Wojdak @@aut@@ Jakub Szymanowski @@aut@@ Edyta Rychlicka-Buniowska @@aut@@ Ulana Juhas @@aut@@ Katarzyna Duzowska @@aut@@ Tomasz Nowikiewicz @@aut@@ Wiktoria Stańkowska @@aut@@ Katarzyna Chojnowska @@aut@@ Maria Andreou @@aut@@ Urszula Ławrynowicz @@aut@@ Magdalena Wójcik @@aut@@ Hanna Davies @@aut@@ Ewa Śrutek @@aut@@ Michał Bieńkowski @@aut@@ Katarzyna Milian-Ciesielska @@aut@@ Marek Zdrenka @@aut@@ Aleksandra Ambicka @@aut@@ Marcin Przewoźnik @@aut@@ Agnieszka Harazin-Lechowska @@aut@@ Agnieszka Adamczyk @@aut@@ Jacek Kowalski @@aut@@ Dariusz Bała @@aut@@ Dorian Wiśniewski @@aut@@ Karol Tkaczyński @@aut@@ Krzysztof Kamecki @@aut@@ Marta Drzewiecka @@aut@@ Paweł Wroński @@aut@@ Jerzy Siekiera @@aut@@ Izabela Ratnicka @@aut@@ Jerzy Jankau @@aut@@ Karol Wierzba @@aut@@ Jarosław Skokowski @@aut@@ Karol Połom @@aut@@ Mikołaj Przydacz @@aut@@ Łukasz Bełch @@aut@@ Piotr Chłosta @@aut@@ Marcin Matuszewski @@aut@@ Krzysztof Okoń @@aut@@ Olga Rostkowska @@aut@@ Andrzej Hellmann @@aut@@ Karol Sasim @@aut@@ Piotr Remiszewski @@aut@@ Marek Sierżęga @@aut@@ Stanisław Hać @@aut@@ Jarosław Kobiela @@aut@@ Łukasz Kaska @@aut@@ Michał Jankowski @@aut@@ Diana Hodorowicz-Zaniewska @@aut@@ Janusz Jaszczyński @@aut@@ Wojciech Zegarski @@aut@@ Wojciech Makarewicz @@aut@@ Rafał Pęksa @@aut@@ Joanna Szpor @@aut@@ Janusz Ryś @@aut@@ Łukasz Szylberg @@aut@@ Arkadiusz Piotrowski @@aut@@ Jan P Dumanski @@aut@@ |
| publishDateDaySort_date |
2022-01-01T00:00:00Z |
| hierarchy_top_id |
523574592 |
| id |
DOAJ028236726 |
| language_de |
englisch |
| fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">DOAJ028236726</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230307123929.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230226s2022 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1371/journal.pone.0266111</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ028236726</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJb558d36b91ac463bb740f5c0a9b37da2</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="0" ind2=" "><subfield code="a">Natalia Filipowicz</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Comprehensive cancer-oriented biobanking resource of human samples for studies of post-zygotic genetic variation involved in cancer predisposition.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2022</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="520" ind1=" " ind2=" "><subfield code="a">The progress in translational cancer research relies on access to well-characterized samples from a representative number of patients and controls. The rationale behind our biobanking are explorations of post-zygotic pathogenic gene variants, especially in non-tumoral tissue, which might predispose to cancers. The targeted diagnoses are carcinomas of the breast (via mastectomy or breast conserving surgery), colon and rectum, prostate, and urinary bladder (via cystectomy or transurethral resection), exocrine pancreatic carcinoma as well as metastases of colorectal cancer to the liver. The choice was based on the high incidence of these cancers and/or frequent fatal outcome. We also collect age-matched normal controls. Our still ongoing collection originates from five clinical centers and after nearly 2-year cooperation reached 1711 patients and controls, yielding a total of 23226 independent samples, with an average of 74 donors and 1010 samples collected per month. The predominant diagnosis is breast carcinoma, with 933 donors, followed by colorectal carcinoma (383 donors), prostate carcinoma (221 donors), bladder carcinoma (81 donors), exocrine pancreatic carcinoma (15 donors) and metachronous colorectal cancer metastases to liver (14 donors). Forty percent of the total sample count originates from macroscopically healthy cancer-neighboring tissue, while contribution from tumors is 12%, which adds to the uniqueness of our collection for cancer predisposition studies. Moreover, we developed two program packages, enabling registration of patients, clinical data and samples at the participating hospitals as well as the central system of sample/data management at coordinating center. The approach used by us may serve as a model for dispersed biobanking from multiple satellite hospitals. Our biobanking resource ought to stimulate research into genetic mechanisms underlying the development of common cancers. It will allow all available "-omics" approaches on DNA-, RNA-, protein- and tissue levels to be applied. 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Natalia Filipowicz Kinga Drężek Monika Horbacz Agata Wojdak Jakub Szymanowski Edyta Rychlicka-Buniowska Ulana Juhas Katarzyna Duzowska Tomasz Nowikiewicz Wiktoria Stańkowska Katarzyna Chojnowska Maria Andreou Urszula Ławrynowicz Magdalena Wójcik Hanna Davies Ewa Śrutek Michał Bieńkowski Katarzyna Milian-Ciesielska Marek Zdrenka Aleksandra Ambicka Marcin Przewoźnik Agnieszka Harazin-Lechowska Agnieszka Adamczyk Jacek Kowalski Dariusz Bała Dorian Wiśniewski Karol Tkaczyński Krzysztof Kamecki Marta Drzewiecka Paweł Wroński Jerzy Siekiera Izabela Ratnicka Jerzy Jankau Karol Wierzba Jarosław Skokowski Karol Połom Mikołaj Przydacz Łukasz Bełch Piotr Chłosta Marcin Matuszewski Krzysztof Okoń Olga Rostkowska Andrzej Hellmann Karol Sasim Piotr Remiszewski Marek Sierżęga Stanisław Hać Jarosław Kobiela Łukasz Kaska Michał Jankowski Diana Hodorowicz-Zaniewska Janusz Jaszczyński Wojciech Zegarski Wojciech Makarewicz Rafał Pęksa Joanna Szpor Janusz Ryś Łukasz Szylberg Arkadiusz Piotrowski Jan P Dumanski |
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comprehensive cancer-oriented biobanking resource of human samples for studies of post-zygotic genetic variation involved in cancer predisposition |
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Comprehensive cancer-oriented biobanking resource of human samples for studies of post-zygotic genetic variation involved in cancer predisposition. |
| abstract |
The progress in translational cancer research relies on access to well-characterized samples from a representative number of patients and controls. The rationale behind our biobanking are explorations of post-zygotic pathogenic gene variants, especially in non-tumoral tissue, which might predispose to cancers. The targeted diagnoses are carcinomas of the breast (via mastectomy or breast conserving surgery), colon and rectum, prostate, and urinary bladder (via cystectomy or transurethral resection), exocrine pancreatic carcinoma as well as metastases of colorectal cancer to the liver. The choice was based on the high incidence of these cancers and/or frequent fatal outcome. We also collect age-matched normal controls. Our still ongoing collection originates from five clinical centers and after nearly 2-year cooperation reached 1711 patients and controls, yielding a total of 23226 independent samples, with an average of 74 donors and 1010 samples collected per month. The predominant diagnosis is breast carcinoma, with 933 donors, followed by colorectal carcinoma (383 donors), prostate carcinoma (221 donors), bladder carcinoma (81 donors), exocrine pancreatic carcinoma (15 donors) and metachronous colorectal cancer metastases to liver (14 donors). Forty percent of the total sample count originates from macroscopically healthy cancer-neighboring tissue, while contribution from tumors is 12%, which adds to the uniqueness of our collection for cancer predisposition studies. Moreover, we developed two program packages, enabling registration of patients, clinical data and samples at the participating hospitals as well as the central system of sample/data management at coordinating center. The approach used by us may serve as a model for dispersed biobanking from multiple satellite hospitals. Our biobanking resource ought to stimulate research into genetic mechanisms underlying the development of common cancers. It will allow all available "-omics" approaches on DNA-, RNA-, protein- and tissue levels to be applied. The collected samples can be made available to other research groups. |
| abstractGer |
The progress in translational cancer research relies on access to well-characterized samples from a representative number of patients and controls. The rationale behind our biobanking are explorations of post-zygotic pathogenic gene variants, especially in non-tumoral tissue, which might predispose to cancers. The targeted diagnoses are carcinomas of the breast (via mastectomy or breast conserving surgery), colon and rectum, prostate, and urinary bladder (via cystectomy or transurethral resection), exocrine pancreatic carcinoma as well as metastases of colorectal cancer to the liver. The choice was based on the high incidence of these cancers and/or frequent fatal outcome. We also collect age-matched normal controls. Our still ongoing collection originates from five clinical centers and after nearly 2-year cooperation reached 1711 patients and controls, yielding a total of 23226 independent samples, with an average of 74 donors and 1010 samples collected per month. The predominant diagnosis is breast carcinoma, with 933 donors, followed by colorectal carcinoma (383 donors), prostate carcinoma (221 donors), bladder carcinoma (81 donors), exocrine pancreatic carcinoma (15 donors) and metachronous colorectal cancer metastases to liver (14 donors). Forty percent of the total sample count originates from macroscopically healthy cancer-neighboring tissue, while contribution from tumors is 12%, which adds to the uniqueness of our collection for cancer predisposition studies. Moreover, we developed two program packages, enabling registration of patients, clinical data and samples at the participating hospitals as well as the central system of sample/data management at coordinating center. The approach used by us may serve as a model for dispersed biobanking from multiple satellite hospitals. Our biobanking resource ought to stimulate research into genetic mechanisms underlying the development of common cancers. It will allow all available "-omics" approaches on DNA-, RNA-, protein- and tissue levels to be applied. The collected samples can be made available to other research groups. |
| abstract_unstemmed |
The progress in translational cancer research relies on access to well-characterized samples from a representative number of patients and controls. The rationale behind our biobanking are explorations of post-zygotic pathogenic gene variants, especially in non-tumoral tissue, which might predispose to cancers. The targeted diagnoses are carcinomas of the breast (via mastectomy or breast conserving surgery), colon and rectum, prostate, and urinary bladder (via cystectomy or transurethral resection), exocrine pancreatic carcinoma as well as metastases of colorectal cancer to the liver. The choice was based on the high incidence of these cancers and/or frequent fatal outcome. We also collect age-matched normal controls. Our still ongoing collection originates from five clinical centers and after nearly 2-year cooperation reached 1711 patients and controls, yielding a total of 23226 independent samples, with an average of 74 donors and 1010 samples collected per month. The predominant diagnosis is breast carcinoma, with 933 donors, followed by colorectal carcinoma (383 donors), prostate carcinoma (221 donors), bladder carcinoma (81 donors), exocrine pancreatic carcinoma (15 donors) and metachronous colorectal cancer metastases to liver (14 donors). Forty percent of the total sample count originates from macroscopically healthy cancer-neighboring tissue, while contribution from tumors is 12%, which adds to the uniqueness of our collection for cancer predisposition studies. Moreover, we developed two program packages, enabling registration of patients, clinical data and samples at the participating hospitals as well as the central system of sample/data management at coordinating center. The approach used by us may serve as a model for dispersed biobanking from multiple satellite hospitals. Our biobanking resource ought to stimulate research into genetic mechanisms underlying the development of common cancers. It will allow all available "-omics" approaches on DNA-, RNA-, protein- and tissue levels to be applied. The collected samples can be made available to other research groups. |
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