Literature DB >> 31164347

Plasma Metabolomic Signatures Associated with Long-term Breast Cancer Risk in the SU.VI.MAX Prospective Cohort.

Lucie Lécuyer1, Céline Dalle2, Bernard Lyan2, Aicha Demidem3, Adrien Rossary3, Marie-Paule Vasson3,4, Mélanie Petera2, Marie Lagree5, Thomas Ferreira3, Delphine Centeno2, Pilar Galan6, Serge Hercberg6,7, Mélanie Deschasaux6, Valentin Partula6, Bernard Srour6, Paule Latino-Martel6, Emmanuelle Kesse-Guyot6, Nathalie Druesne-Pecollo6, Stéphanie Durand2, Estelle Pujos-Guillot2, Mathilde Touvier6.   

Abstract

BACKGROUND: Breast cancer is a major cause of death in occidental women. The role of metabolism in breast cancer etiology remains unclear. Metabolomics may help to elucidate novel biological pathways and identify new biomarkers to predict breast cancer long before symptoms appear. The aim of this study was to investigate whether untargeted metabolomic signatures from blood draws of healthy women could contribute to better understand and predict the long-term risk of developing breast cancer.
METHODS: A nested case-control study was conducted within the SU.VI.MAX prospective cohort (13 years of follow-up) to analyze baseline plasma samples of 211 incident breast cancer cases and 211 matched controls by LC/MS. Multivariable conditional logistic regression models were computed.
RESULTS: A total of 3,565 ions were detected and 1,221 were retained for statistical analysis. A total of 73 ions were associated with breast cancer risk (P < 0.01; FDR ≤ 0.2). Notably, we observed that a lower plasma level of O-succinyl-homoserine (OR = 0.70, 95%CI = [0.55-0.89]) and higher plasma levels of valine/norvaline [1.45 (1.15-1.83)], glutamine/isoglutamine [1.33 (1.07-1.66)], 5-aminovaleric acid [1.46 (1.14-1.87)], phenylalanine [1.43 (1.14-1.78)], tryptophan [1.40 (1.10-1.79)], γ-glutamyl-threonine [1.39 (1.09-1.77)], ATBC [1.41 (1.10-1.79)], and pregnene-triol sulfate [1.38 (1.08-1.77)] were associated with an increased risk of developing breast cancer during follow-up.
Conclusion: Several prediagnostic plasmatic metabolites were associated with long-term breast cancer risk and suggested a role of microbiota metabolism and environmental exposure. IMPACT: After confirmation in other independent cohort studies, these results could help to identify healthy women at higher risk of developing breast cancer in the subsequent decade and to propose a better understanding of the complex mechanisms involved in its etiology. ©2019 American Association for Cancer Research.

Entities:  

Year:  2019        PMID: 31164347     DOI: 10.1158/1055-9965.EPI-19-0154

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  9 in total

1.  Lipoprotein and metabolite associations to breast cancer risk in the HUNT2 study.

Authors:  Julia Debik; Hartmut Schäfer; Trygve Andreassen; Feng Wang; Fang Fang; Claire Cannet; Manfred Spraul; Tone F Bathen; Guro F Giskeødegård
Journal:  Br J Cancer       Date:  2022-08-04       Impact factor: 9.075

2.  Pan-cancer analysis of pre-diagnostic blood metabolite concentrations in the European Prospective Investigation into Cancer and Nutrition.

Authors:  Marie Breeur; Pietro Ferrari; Laure Dossus; Mazda Jenab; Mattias Johansson; Sabina Rinaldi; Ruth C Travis; Mathilde His; Tim J Key; Julie A Schmidt; Kim Overvad; Anne Tjønneland; Cecilie Kyrø; Joseph A Rothwell; Nasser Laouali; Gianluca Severi; Rudolf Kaaks; Verena Katzke; Matthias B Schulze; Fabian Eichelmann; Domenico Palli; Sara Grioni; Salvatore Panico; Rosario Tumino; Carlotta Sacerdote; Bas Bueno-de-Mesquita; Karina Standahl Olsen; Torkjel Manning Sandanger; Therese Haugdahl Nøst; J Ramón Quirós; Catalina Bonet; Miguel Rodríguez Barranco; María-Dolores Chirlaque; Eva Ardanaz; Malte Sandsveden; Jonas Manjer; Linda Vidman; Matilda Rentoft; David Muller; Kostas Tsilidis; Alicia K Heath; Hector Keun; Jerzy Adamski; Pekka Keski-Rahkonen; Augustin Scalbert; Marc J Gunter; Vivian Viallon
Journal:  BMC Med       Date:  2022-10-19       Impact factor: 11.150

3.  Multiplatform Investigation of Plasma and Tissue Lipid Signatures of Breast Cancer Using Mass Spectrometry Tools.

Authors:  Alex Ap Rosini Silva; Marcella R Cardoso; Luciana Montes Rezende; John Q Lin; Fernando Guimaraes; Geisilene R Paiva Silva; Michael Murgu; Denise Gonçalves Priolli; Marcos N Eberlin; Alessandra Tata; Livia S Eberlin; Sophie F M Derchain; Andreia M Porcari
Journal:  Int J Mol Sci       Date:  2020-05-20       Impact factor: 5.923

4.  The metabolomic signature of extreme longevity: naked mole rats versus mice.

Authors:  Mélanie Viltard; Sylvère Durand; Maria Pérez-Lanzón; Fanny Aprahamian; Deborah Lefevre; Christine Leroy; Frank Madeo; Guido Kroemer; Gérard Friedlander
Journal:  Aging (Albany NY)       Date:  2019-07-24       Impact factor: 5.682

5.  Effect of Estrogen Receptor Status on Circulatory Immune and Metabolomics Profiles of HER2-Positive Breast Cancer Patients Enrolled for Neoadjuvant Targeted Chemotherapy.

Authors:  Alessia Vignoli; Elena Muraro; Gianmaria Miolo; Leonardo Tenori; Paola Turano; Emanuela Di Gregorio; Agostino Steffan; Claudio Luchinat; Giuseppe Corona
Journal:  Cancers (Basel)       Date:  2020-01-29       Impact factor: 6.639

6.  Lifestyle correlates of eight breast cancer-related metabolites: a cross-sectional study within the EPIC cohort.

Authors:  Mathilde His; Vivian Viallon; Laure Dossus; Julie A Schmidt; Ruth C Travis; Marc J Gunter; Kim Overvad; Cecilie Kyrø; Anne Tjønneland; Lucie Lécuyer; Joseph A Rothwell; Gianluca Severi; Theron Johnson; Verena Katzke; Matthias B Schulze; Giovanna Masala; Sabina Sieri; Salvatore Panico; Rosario Tumino; Alessandra Macciotta; Jolanda M A Boer; Evelyn M Monninkhof; Karina Standahl Olsen; Therese H Nøst; Torkjel M Sandanger; Antonio Agudo; Maria-Jose Sánchez; Pilar Amiano; Sandra M Colorado-Yohar; Eva Ardanaz; Linda Vidman; Anna Winkvist; Alicia K Heath; Elisabete Weiderpass; Inge Huybrechts; Sabina Rinaldi
Journal:  BMC Med       Date:  2021-12-10       Impact factor: 8.775

7.  Integrative analysis of plasma metabolomics and proteomics reveals the metabolic landscape of breast cancer.

Authors:  Rui An; Haitao Yu; Yanzhong Wang; Jie Lu; Yuzhen Gao; Xinyou Xie; Jun Zhang
Journal:  Cancer Metab       Date:  2022-08-17

8.  Quantitative analysis of γ-glutamylisoleucine, γ-glutamylthreonine, and γ-glutamylvaline in HeLa cells using UHPLC-MS/MS.

Authors:  Jonathan B Thacker; Chenchen He; Subramaniam Pennathur
Journal:  J Sep Sci       Date:  2021-06-13       Impact factor: 3.614

9.  Branched-Chain Amino Acids and Risk of Breast Cancer.

Authors:  Oana A Zeleznik; Raji Balasubramanian; Yumeng Ren; Deirdre K Tobias; Bernard A Rosner; Cheng Peng; Alaina M Bever; Lisa Frueh; Sarah Jeanfavre; Julian Avila-Pacheco; Clary B Clish; Samia Mora; Frank B Hu; A Heather Eliassen
Journal:  JNCI Cancer Spectr       Date:  2021-07-02
  9 in total

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