Genetic Polymorphisms Involved in Mitochondrial Metabolism and Pancreatic Cancer Risk

Giulia Peduzzi; Manuel Gentiluomo; Francesca Tavano; Paolo Giorgio Arcidiacono; Stefano Ermini; Pavel Vodicka; Ugo Boggi; Giulia Martina Cavestro; Gabriele Capurso; Luca Morelli; Anna Caterina Milanetto; Raffaele Pezzilli; Rita T Lawlor; Silvia Carrara; Martin Lovecek; Pavel Souček; Feng Guo; Thilo Hackert; Faik  Uzunoğlu; Maria Gazouli; Andrea Párniczky; Juozas Kupcinskas; Maarten F Bijlsma; H. Bas Bueno-de-Mesquita; Roel Vermeulen; Casper H J van Eijck; Krzysztof  Jamroziak; Renata  Talar-Wojnarowska; William Greenhalf; Domenica Gioffreda; Maria C. Petrone; Stefano Landi; Livia Archibugi; Marta Puzzono; Niccola Funel; Cosimo Sperti; Maria L. Piredda; Beatrice  Mohelnikova-Duchonova; Ye Lu; Viktor Hlaváč; Xin Gao; Martin Schneider; Jakob R. Izbicki; George  Theodoropoulos; Stefania Bunduc; Edita Kreivenaite; Olivier Busch; Ewa Małecka-Panas; Eithne Costello; Francesco Perri; Sabrina Gloria Giulia Testoni; Giuseppe Vanella; Claudio Pasquali; Martin Oliverius; Hermann Brenner; Martin Loos; Mara Götz; Konstantinos  Georgiou; Bálint  Erőss; Evaristo  Maiello; Andrea Szentesi; Francesca Bazzocchi; Daniela Basso; John P. Neoptolemos; Péter  Hegyi; Vytautas Kiudelis; Federico Canzian; Daniele Campa

doi:10.1158/1055-9965.EPI-21-0353

Genetic Polymorphisms Involved in Mitochondrial Metabolism and Pancreatic Cancer Risk

Giulia Peduzzi, Manuel Gentiluomo, Francesca Tavano, Paolo Giorgio Arcidiacono, Stefano Ermini, Pavel Vodicka, Ugo Boggi, Giulia Martina Cavestro, Gabriele Capurso, Luca Morelli, Anna Caterina Milanetto, Raffaele Pezzilli, Rita T Lawlor, Silvia Carrara, Martin Lovecek, Pavel Souček, Feng Guo, Thilo Hackert, Faik Uzunoğlu, Maria GazouliAndrea Párniczky, Juozas Kupcinskas, Maarten F Bijlsma, H. Bas Bueno-de-Mesquita, Roel Vermeulen, Casper H J van Eijck, Krzysztof Jamroziak, Renata Talar-Wojnarowska, William Greenhalf, Domenica Gioffreda, Maria C. Petrone, Stefano Landi, Livia Archibugi, Marta Puzzono, Niccola Funel, Cosimo Sperti, Maria L. Piredda, Beatrice Mohelnikova-Duchonova, Ye Lu, Viktor Hlaváč, Xin Gao, Martin Schneider, Jakob R. Izbicki, George Theodoropoulos, Stefania Bunduc, Edita Kreivenaite, Olivier Busch, Ewa Małecka-Panas, Eithne Costello, Francesco Perri, Sabrina Gloria Giulia Testoni, Giuseppe Vanella, Claudio Pasquali, Martin Oliverius, Hermann Brenner, Martin Loos, Mara Götz, Konstantinos Georgiou, Bálint Erőss, Evaristo Maiello, Andrea Szentesi, Francesca Bazzocchi, Daniela Basso, John P. Neoptolemos, Péter Hegyi, Vytautas Kiudelis, Federico Canzian, Daniele Campa^*

^*Corresponding author for this work

IRAS OH Epidemiology Chemical Agents

Research output: Contribution to journal › Article › Academic › peer-review

Abstract

Background: The mitochondrial metabolism has been associated with pancreatic ductal adenocarcinoma (PDAC) risk. Recent evidence also suggests the involvement of the genetic variability of the mitochondrial function in several traits involved in PDAC etiology. However, a systematic investigation of the genetic variability of mitochondrial genome (mtSNP) and of all the nuclear genes involved in its functioning (n-mtSNPs) has never been reported. Methods: We conducted a two-phase association study of mtSNPs and n-mtSNPs to assess their effect on PDAC risk. We analyzed 35,297 n-mtSNPs and 101 mtSNPs in up to 55,870 individuals (12,884 PDAC cases and 42,986 controls). In addition, we also conducted a gene-based analysis on 1,588 genes involved in mitochondrial metabolism using Multi-marker Analysis of GenoMic Annotation (MAGMA) software. Results: In the discovery phase, we identified 49 n-mtSNPs and no mtSNPs associated with PDAC risk (P < 0.05). In the second phase, none of the findings were replicated. In the gene-level analysis, we observed that three genes (TERT, SUGCT, and SURF1) involved in the mitochondrial metabolism showed an association below the Bonferroni-corrected threshold of statistical significance (P = 0.05/1588 = 3.1 × 10–5). Conclusions: Even though the mitochondrial metabolism might be involved in PDAC etiology, our results, obtained in a study with one of the largest sample sizes to date, show that neither n-mtSNPs nor mtSNPs are associated with PDAC risk. Impact: This large case–control study does not support a role of the genetic variability of the mitochondrial function in PDAC risk

Original language	English
Pages (from-to)	2342-2345
Journal	Cancer Epidemiology Biomarkers and Prevention
Volume	30
Issue number	12
DOIs	https://doi.org/10.1158/1055-9965.EPI-21-0353
Publication status	Published - 1 Dec 2021

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10.1158/1055-9965.EPI-21-0353

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Peduzzi, G., Gentiluomo, M., Tavano, F., Arcidiacono, P. G., Ermini, S., Vodicka, P., Boggi, U., Cavestro, G. M., Capurso, G., Morelli, L., Milanetto, A. C., Pezzilli, R., Lawlor, R. T., Carrara, S., Lovecek, M., Souček, P., Guo, F., Hackert, T., Uzunoğlu, F., ... Campa, D. (2021). Genetic Polymorphisms Involved in Mitochondrial Metabolism and Pancreatic Cancer Risk. Cancer Epidemiology Biomarkers and Prevention, 30(12), 2342-2345. https://doi.org/10.1158/1055-9965.EPI-21-0353

@article{7b5ebfa331d34e37a5c7c9f598e53765,

title = "Genetic Polymorphisms Involved in Mitochondrial Metabolism and Pancreatic Cancer Risk",

abstract = "Background: The mitochondrial metabolism has been associated with pancreatic ductal adenocarcinoma (PDAC) risk. Recent evidence also suggests the involvement of the genetic variability of the mitochondrial function in several traits involved in PDAC etiology. However, a systematic investigation of the genetic variability of mitochondrial genome (mtSNP) and of all the nuclear genes involved in its functioning (n-mtSNPs) has never been reported. Methods: We conducted a two-phase association study of mtSNPs and n-mtSNPs to assess their effect on PDAC risk. We analyzed 35,297 n-mtSNPs and 101 mtSNPs in up to 55,870 individuals (12,884 PDAC cases and 42,986 controls). In addition, we also conducted a gene-based analysis on 1,588 genes involved in mitochondrial metabolism using Multi-marker Analysis of GenoMic Annotation (MAGMA) software. Results: In the discovery phase, we identified 49 n-mtSNPs and no mtSNPs associated with PDAC risk (P < 0.05). In the second phase, none of the findings were replicated. In the gene-level analysis, we observed that three genes (TERT, SUGCT, and SURF1) involved in the mitochondrial metabolism showed an association below the Bonferroni-corrected threshold of statistical significance (P = 0.05/1588 = 3.1 × 10–5). Conclusions: Even though the mitochondrial metabolism might be involved in PDAC etiology, our results, obtained in a study with one of the largest sample sizes to date, show that neither n-mtSNPs nor mtSNPs are associated with PDAC risk. Impact: This large case–control study does not support a role of the genetic variability of the mitochondrial function in PDAC risk",

author = "Giulia Peduzzi and Manuel Gentiluomo and Francesca Tavano and Arcidiacono, {Paolo Giorgio} and Stefano Ermini and Pavel Vodicka and Ugo Boggi and Cavestro, {Giulia Martina} and Gabriele Capurso and Luca Morelli and Milanetto, {Anna Caterina} and Raffaele Pezzilli and Lawlor, {Rita T} and Silvia Carrara and Martin Lovecek and Pavel Sou{\v c}ek and Feng Guo and Thilo Hackert and Faik Uzunoğlu and Maria Gazouli and Andrea P{\'a}rniczky and Juozas Kupcinskas and Bijlsma, {Maarten F} and Bueno-de-Mesquita, {H. Bas} and Roel Vermeulen and {van Eijck}, {Casper H J} and Krzysztof Jamroziak and Renata Talar-Wojnarowska and William Greenhalf and Domenica Gioffreda and Petrone, {Maria C.} and Stefano Landi and Livia Archibugi and Marta Puzzono and Niccola Funel and Cosimo Sperti and Piredda, {Maria L.} and Beatrice Mohelnikova-Duchonova and Ye Lu and Viktor Hlav{\'a}{\v c} and Xin Gao and Martin Schneider and Izbicki, {Jakob R.} and George Theodoropoulos and Stefania Bunduc and Edita Kreivenaite and Olivier Busch and Ewa Ma{\l}ecka-Panas and Eithne Costello and Francesco Perri and Testoni, {Sabrina Gloria Giulia} and Giuseppe Vanella and Claudio Pasquali and Martin Oliverius and Hermann Brenner and Martin Loos and Mara G{\"o}tz and Konstantinos Georgiou and B{\'a}lint Er{\H o}ss and Evaristo Maiello and Andrea Szentesi and Francesca Bazzocchi and Daniela Basso and Neoptolemos, {John P.} and P{\'e}ter Hegyi and Vytautas Kiudelis and Federico Canzian and Daniele Campa",

year = "2021",

month = dec,

day = "1",

doi = "10.1158/1055-9965.EPI-21-0353",

language = "English",

volume = "30",

pages = "2342--2345",

journal = "Cancer Epidemiology Biomarkers and Prevention",

issn = "1055-9965",

publisher = "American Association for Cancer Research Inc.",

number = "12",

}

Peduzzi, G, Gentiluomo, M, Tavano, F, Arcidiacono, PG, Ermini, S, Vodicka, P, Boggi, U, Cavestro, GM, Capurso, G, Morelli, L, Milanetto, AC, Pezzilli, R, Lawlor, RT, Carrara, S, Lovecek, M, Souček, P, Guo, F, Hackert, T, Uzunoğlu, F, Gazouli, M, Párniczky, A, Kupcinskas, J, Bijlsma, MF, Bueno-de-Mesquita, HB, Vermeulen, R, van Eijck, CHJ, Jamroziak, K, Talar-Wojnarowska, R, Greenhalf, W, Gioffreda, D, Petrone, MC, Landi, S, Archibugi, L, Puzzono, M, Funel, N, Sperti, C, Piredda, ML, Mohelnikova-Duchonova, B, Lu, Y, Hlaváč, V, Gao, X, Schneider, M, Izbicki, JR, Theodoropoulos, G, Bunduc, S, Kreivenaite, E, Busch, O, Małecka-Panas, E, Costello, E, Perri, F, Testoni, SGG, Vanella, G, Pasquali, C, Oliverius, M, Brenner, H, Loos, M, Götz, M, Georgiou, K, Erőss, B, Maiello, E, Szentesi, A, Bazzocchi, F, Basso, D, Neoptolemos, JP, Hegyi, P, Kiudelis, V, Canzian, F & Campa, D 2021, 'Genetic Polymorphisms Involved in Mitochondrial Metabolism and Pancreatic Cancer Risk', Cancer Epidemiology Biomarkers and Prevention, vol. 30, no. 12, pp. 2342-2345. https://doi.org/10.1158/1055-9965.EPI-21-0353

TY - JOUR

T1 - Genetic Polymorphisms Involved in Mitochondrial Metabolism and Pancreatic Cancer Risk

AU - Peduzzi, Giulia

AU - Gentiluomo, Manuel

AU - Tavano, Francesca

AU - Arcidiacono, Paolo Giorgio

AU - Ermini, Stefano

AU - Vodicka, Pavel

AU - Boggi, Ugo

AU - Cavestro, Giulia Martina

AU - Capurso, Gabriele

AU - Morelli, Luca

AU - Milanetto, Anna Caterina

AU - Pezzilli, Raffaele

AU - Lawlor, Rita T

AU - Carrara, Silvia

AU - Lovecek, Martin

AU - Souček, Pavel

AU - Guo, Feng

AU - Hackert, Thilo

AU - Uzunoğlu, Faik

AU - Gazouli, Maria

AU - Párniczky, Andrea

AU - Kupcinskas, Juozas

AU - Bijlsma, Maarten F

AU - Bueno-de-Mesquita, H. Bas

AU - Vermeulen, Roel

AU - van Eijck, Casper H J

AU - Jamroziak, Krzysztof

AU - Talar-Wojnarowska, Renata

AU - Greenhalf, William

AU - Gioffreda, Domenica

AU - Petrone, Maria C.

AU - Landi, Stefano

AU - Archibugi, Livia

AU - Puzzono, Marta

AU - Funel, Niccola

AU - Sperti, Cosimo

AU - Piredda, Maria L.

AU - Mohelnikova-Duchonova, Beatrice

AU - Lu, Ye

AU - Hlaváč, Viktor

AU - Gao, Xin

AU - Schneider, Martin

AU - Izbicki, Jakob R.

AU - Theodoropoulos, George

AU - Bunduc, Stefania

AU - Kreivenaite, Edita

AU - Busch, Olivier

AU - Małecka-Panas, Ewa

AU - Costello, Eithne

AU - Perri, Francesco

AU - Testoni, Sabrina Gloria Giulia

AU - Vanella, Giuseppe

AU - Pasquali, Claudio

AU - Oliverius, Martin

AU - Brenner, Hermann

AU - Loos, Martin

AU - Götz, Mara

AU - Georgiou, Konstantinos

AU - Erőss, Bálint

AU - Maiello, Evaristo

AU - Szentesi, Andrea

AU - Bazzocchi, Francesca

AU - Basso, Daniela

AU - Neoptolemos, John P.

AU - Hegyi, Péter

AU - Kiudelis, Vytautas

AU - Canzian, Federico

AU - Campa, Daniele

PY - 2021/12/1

Y1 - 2021/12/1

N2 - Background: The mitochondrial metabolism has been associated with pancreatic ductal adenocarcinoma (PDAC) risk. Recent evidence also suggests the involvement of the genetic variability of the mitochondrial function in several traits involved in PDAC etiology. However, a systematic investigation of the genetic variability of mitochondrial genome (mtSNP) and of all the nuclear genes involved in its functioning (n-mtSNPs) has never been reported. Methods: We conducted a two-phase association study of mtSNPs and n-mtSNPs to assess their effect on PDAC risk. We analyzed 35,297 n-mtSNPs and 101 mtSNPs in up to 55,870 individuals (12,884 PDAC cases and 42,986 controls). In addition, we also conducted a gene-based analysis on 1,588 genes involved in mitochondrial metabolism using Multi-marker Analysis of GenoMic Annotation (MAGMA) software. Results: In the discovery phase, we identified 49 n-mtSNPs and no mtSNPs associated with PDAC risk (P < 0.05). In the second phase, none of the findings were replicated. In the gene-level analysis, we observed that three genes (TERT, SUGCT, and SURF1) involved in the mitochondrial metabolism showed an association below the Bonferroni-corrected threshold of statistical significance (P = 0.05/1588 = 3.1 × 10–5). Conclusions: Even though the mitochondrial metabolism might be involved in PDAC etiology, our results, obtained in a study with one of the largest sample sizes to date, show that neither n-mtSNPs nor mtSNPs are associated with PDAC risk. Impact: This large case–control study does not support a role of the genetic variability of the mitochondrial function in PDAC risk

AB - Background: The mitochondrial metabolism has been associated with pancreatic ductal adenocarcinoma (PDAC) risk. Recent evidence also suggests the involvement of the genetic variability of the mitochondrial function in several traits involved in PDAC etiology. However, a systematic investigation of the genetic variability of mitochondrial genome (mtSNP) and of all the nuclear genes involved in its functioning (n-mtSNPs) has never been reported. Methods: We conducted a two-phase association study of mtSNPs and n-mtSNPs to assess their effect on PDAC risk. We analyzed 35,297 n-mtSNPs and 101 mtSNPs in up to 55,870 individuals (12,884 PDAC cases and 42,986 controls). In addition, we also conducted a gene-based analysis on 1,588 genes involved in mitochondrial metabolism using Multi-marker Analysis of GenoMic Annotation (MAGMA) software. Results: In the discovery phase, we identified 49 n-mtSNPs and no mtSNPs associated with PDAC risk (P < 0.05). In the second phase, none of the findings were replicated. In the gene-level analysis, we observed that three genes (TERT, SUGCT, and SURF1) involved in the mitochondrial metabolism showed an association below the Bonferroni-corrected threshold of statistical significance (P = 0.05/1588 = 3.1 × 10–5). Conclusions: Even though the mitochondrial metabolism might be involved in PDAC etiology, our results, obtained in a study with one of the largest sample sizes to date, show that neither n-mtSNPs nor mtSNPs are associated with PDAC risk. Impact: This large case–control study does not support a role of the genetic variability of the mitochondrial function in PDAC risk

U2 - 10.1158/1055-9965.EPI-21-0353

DO - 10.1158/1055-9965.EPI-21-0353

M3 - Article

SN - 1055-9965

VL - 30

SP - 2342

EP - 2345

JO - Cancer Epidemiology Biomarkers and Prevention

JF - Cancer Epidemiology Biomarkers and Prevention

IS - 12

ER -

Genetic Polymorphisms Involved in Mitochondrial Metabolism and Pancreatic Cancer Risk

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