Literature DB >> 36036882

Dual contribution of the mTOR pathway and of the metabolism of amino acids in prostate cancer.

Alejandro Schcolnik-Cabrera1,2, Daniel Juárez-López3.   

Abstract

BACKGROUND: Prostate cancer is the leading cause of cancer in men, and its incidence increases with age. Among other risk factors, pre-existing metabolic diseases have been recently linked with prostate cancer, and our current knowledge recognizes prostate cancer as a condition with important metabolic anomalies as well. In malignancies, metabolic disorders are commonly associated with aberrations in mTOR, which is the master regulator of protein synthesis and energetic homeostasis. Although there are reports demonstrating the high dependency of prostate cancer cells for lipid derivatives and even for carbohydrates, the understanding regarding amino acids, and the relationship with the mTOR pathway ultimately resulting in metabolic aberrations, is still scarce. CONCLUSIONS AND PERSPECTIVES: In this review, we briefly provide evidence supporting prostate cancer as a metabolic disease, and discuss what is known about mTOR signaling and prostate cancer. Next, we emphasized on the amino acids glutamine, leucine, serine, glycine, sarcosine, proline and arginine, commonly related to prostate cancer, to explore the alterations in their regulatory pathways and to link them with the associated metabolic reprogramming events seen in prostate cancer. Finally, we display potential therapeutic strategies for targeting mTOR and the referred amino acids, as experimental approaches to selectively attack prostate cancer cells.
© 2022. Springer Nature Switzerland AG.

Entities:  

Keywords:  Amino acids; Cancer metabolism; Prostate cancer; mTOR

Mesh:

Substances:

Year:  2022        PMID: 36036882     DOI: 10.1007/s13402-022-00706-4

Source DB:  PubMed          Journal:  Cell Oncol (Dordr)        ISSN: 2211-3428            Impact factor:   7.051


  176 in total

1.  Risk factors for prostate cancer.

Authors:  Peter H Gann
Journal:  Rev Urol       Date:  2002

2.  Automated deep-learning system for Gleason grading of prostate cancer using biopsies: a diagnostic study.

Authors:  Wouter Bulten; Hans Pinckaers; Hester van Boven; Robert Vink; Thomas de Bel; Bram van Ginneken; Jeroen van der Laak; Christina Hulsbergen-van de Kaa; Geert Litjens
Journal:  Lancet Oncol       Date:  2020-01-08       Impact factor: 41.316

3.  An artificial intelligence algorithm for prostate cancer diagnosis in whole slide images of core needle biopsies: a blinded clinical validation and deployment study.

Authors:  Liron Pantanowitz; Gabriela M Quiroga-Garza; Lilach Bien; Ronen Heled; Daphna Laifenfeld; Chaim Linhart; Judith Sandbank; Anat Albrecht Shach; Varda Shalev; Manuela Vecsler; Pamela Michelow; Scott Hazelhurst; Rajiv Dhir
Journal:  Lancet Digit Health       Date:  2020-08

Review 4.  Prostate cancer.

Authors:  Gerhardt Attard; Chris Parker; Ros A Eeles; Fritz Schröder; Scott A Tomlins; Ian Tannock; Charles G Drake; Johann S de Bono
Journal:  Lancet       Date:  2015-06-11       Impact factor: 79.321

5.  Appraising causal relationships of dietary, nutritional and physical-activity exposures with overall and aggressive prostate cancer: two-sample Mendelian-randomization study based on 79 148 prostate-cancer cases and 61 106 controls.

Authors:  Nabila Kazmi; Philip Haycock; Konstantinos Tsilidis; Brigid M Lynch; Therese Truong; Richard M Martin; Sarah J Lewis
Journal:  Int J Epidemiol       Date:  2020-04-01       Impact factor: 7.196

6.  Frequency and determinants of disagreement and error in gleason scores: a population-based study of prostate cancer.

Authors:  Michael Goodman; Kevin C Ward; Adeboye O Osunkoya; Milton W Datta; Daniel Luthringer; Andrew N Young; Katerina Marks; Vaunita Cohen; Jan C Kennedy; Michael J Haber; Mahul B Amin
Journal:  Prostate       Date:  2012-01-06       Impact factor: 4.104

Review 7.  Advanced Prostate Cancer: Treatment Advances and Future Directions.

Authors:  Umang Swami; Taylor R McFarland; Roberto Nussenzveig; Neeraj Agarwal
Journal:  Trends Cancer       Date:  2020-06-10

8.  Mitochondrial aconitase and citrate metabolism in malignant and nonmalignant human prostate tissues.

Authors:  Keshav K Singh; Mohamed M Desouki; Renty B Franklin; Leslie C Costello
Journal:  Mol Cancer       Date:  2006-04-04       Impact factor: 27.401

9.  The impact of different prostate-specific antigen (PSA) testing intervals on Gleason score at diagnosis and the risk of experiencing false-positive biopsy recommendations: a population-based cohort study.

Authors:  Thorgerdur Palsdottir; Tobias Nordstrom; Andreas Karlsson; Henrik Grönberg; Mark Clements; Martin Eklund
Journal:  BMJ Open       Date:  2019-03-30       Impact factor: 2.692

10.  Comprehensive functional annotation of 77 prostate cancer risk loci.

Authors:  Dennis J Hazelett; Suhn Kyong Rhie; Malaina Gaddis; Chunli Yan; Daniel L Lakeland; Simon G Coetzee; Brian E Henderson; Houtan Noushmehr; Wendy Cozen; Zsofia Kote-Jarai; Rosalind A Eeles; Douglas F Easton; Christopher A Haiman; Wange Lu; Peggy J Farnham; Gerhard A Coetzee
Journal:  PLoS Genet       Date:  2014-01-30       Impact factor: 5.917

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