Genetic Polymorphisms Involved in Mitochondrial Metabolism and Pancreatic Cancer Risk
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Genetic Polymorphisms Involved in Mitochondrial Metabolism and Pancreatic Cancer Risk. / Peduzzi, Giulia; Gentiluomo, Manuel; Tavano, Francesca; Arcidiacono, Paolo Giorgio; Ermini, Stefano; Vodicka, Pavel; Boggi, Ugo; Cavestro, Giulia Martina; Capurso, Gabriele; Morelli, Luca; Milanetto, Anna Caterina; Pezzilli, Raffaele; Lawlor, Rita T; Carrara, Silvia; Lovecek, Martin; Souček, Pavel; Guo, Feng; Hackert, Thilo; Uzunoğlu, Faik G; Gazouli, Maria; Párniczky, Andrea; Kupcinskas, Juozas; Bijlsma, Maarten F; Bueno-de-Mesquita, Bas; Vermeulen, Roel; van Eijck, Casper H J; Jamroziak, Krzysztof; Talar-Wojnarowska, Renata; Greenhalf, William; Gioffreda, Domenica; Petrone, Maria C; Landi, Stefano; Archibugi, Livia; Puzzono, Marta; Funel, Niccola; Sperti, Cosimo; Piredda, Maria L; Mohelnikova-Duchonova, Beatrice; Lu, Ye; Hlaváč, Viktor; Gao, Xin; Schneider, Martin; Izbicki, Jakob R; Theodoropoulos, George; Bunduc, Stefania; Kreivenaite, Edita; Busch, Olivier R; Małecka-Panas, Ewa; Costello, Eithne; Perri, Francesco; Testoni, Sabrina Gloria Giulia; Vanella, Giuseppe; Pasquali, Claudio; Oliverius, Martin; Brenner, Hermann; Loos, Martin; Götz, Mara; Georgiou, Konstantinos; Erőss, Bálint; Maiello, Evaristo; Szentesi, Andrea; Bazzocchi, Francesca; Basso, Daniela; Neoptolemos, John P; Hegyi, Péter; Kiudelis, Vytautas; Canzian, Federico; Campa, Daniele.
In: CANCER EPIDEM BIOMAR, Vol. 30, No. 12, 12.2021, p. 2342-2345.Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review
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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 G
AU - Gazouli, Maria
AU - Párniczky, Andrea
AU - Kupcinskas, Juozas
AU - Bijlsma, Maarten F
AU - Bueno-de-Mesquita, 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 R
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
N1 - ©2021 American Association for Cancer Research.
PY - 2021/12
Y1 - 2021/12
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 - SCORING: Journal article
C2 - 34526302
VL - 30
SP - 2342
EP - 2345
JO - CANCER EPIDEM BIOMAR
JF - CANCER EPIDEM BIOMAR
SN - 1055-9965
IS - 12
ER -