Literature DB >> 34203763

Transcriptomic and Genetic Associations between Alzheimer's Disease, Parkinson's Disease, and Cancer.

Jaume Forés-Martos1,2,3, Cesar Boullosa4, David Rodrigo-Domínguez5, Jon Sánchez-Valle6, Beatriz Suay-García2,3, Joan Climent2,7, Antonio Falcó2,3, Alfonso Valencia6,8, Joan Anton Puig-Butillé9,10, Susana Puig10,11, Rafael Tabarés-Seisdedos1,12,13.   

Abstract

Alzheimer's (AD) and Parkinson's diseases (PD) are the two most prevalent neurodegenerative disorders in human populations. Epidemiological studies have shown that patients suffering from either condition present a reduced overall risk of cancer than controls (i.e., inverse comorbidity), suggesting that neurodegeneration provides a protective effect against cancer. Reduced risks of several site-specific tumors, including colorectal, lung, and prostate cancers, have also been observed in AD and PD. By contrast, an increased risk of melanoma has been described in PD patients (i.e., direct comorbidity). Therefore, a fundamental question to address is whether these associations are due to shared genetic and molecular factors or are explained by other phenomena, such as flaws in epidemiological studies, exposure to shared risk factors, or the effect of medications. To this end, we first evaluated the transcriptomes of AD and PD post-mortem brain tissues derived from the hippocampus and the substantia nigra and analyzed their similarities to those of a large panel of 22 site-specific cancers, which were obtained through differential gene expression meta-analyses of array-based studies available in public repositories. Genes and pathways that were deregulated in both disorders in each analyzed pair were examined. Second, we assessed potential genetic links between AD, PD, and the selected cancers by establishing interactome-based overlaps of genes previously linked to each disorder. Then, their genetic correlations were computed using cross-trait LD score regression and GWAS summary statistics data. Finally, the potential role of medications in the reported comorbidities was assessed by comparing disease-specific differential gene expression profiles to an extensive collection of differential gene expression signatures generated by exposing cell lines to drugs indicated for AD, PD, and cancer treatment (LINCS L1000). We identified significant inverse associations of transcriptomic deregulation between AD hippocampal tissues and breast, lung, liver, and prostate cancers, and between PD substantia nigra tissues and breast, lung, and prostate cancers. Moreover, significant direct (same direction) associations of deregulation were observed between AD and PD and brain and thyroid cancers, as well as between PD and kidney cancer. Several biological processes, including the immune system, oxidative phosphorylation, PI3K/AKT/mTOR signaling, and the cell cycle, were found to be deregulated in both cancer and neurodegenerative disorders. Significant genetic correlations were found between PD and melanoma and prostate cancers. Several drugs indicated for the treatment of neurodegenerative disorders and cancer, such as galantamine, selegiline, exemestane, and estradiol, were identified as potential modulators of the comorbidities observed between neurodegeneration and cancer.

Entities:  

Keywords:  Alzheimer; Parkinson; comorbidity; genetic correlations; meta-analyses; transcriptomic

Year:  2021        PMID: 34203763     DOI: 10.3390/cancers13122990

Source DB:  PubMed          Journal:  Cancers (Basel)        ISSN: 2072-6694            Impact factor:   6.639


  5 in total

Review 1.  Examples of Inverse Comorbidity between Cancer and Neurodegenerative Diseases: A Possible Role for Noncoding RNA.

Authors:  Michele Salemi; Maria Paola Mogavero; Giuseppe Lanza; Laura M Mongioì; Aldo E Calogero; Raffaele Ferri
Journal:  Cells       Date:  2022-06-15       Impact factor: 7.666

2.  A Transcriptome Analysis of mRNAs and Long Non-Coding RNAs in Patients with Parkinson's Disease.

Authors:  Michele Salemi; Giuseppe Lanza; Maria Paola Mogavero; Filomena I I Cosentino; Eugenia Borgione; Roberta Iorio; Giovanna Maria Ventola; Giovanna Marchese; Maria Grazia Salluzzo; Maria Ravo; Raffaele Ferri
Journal:  Int J Mol Sci       Date:  2022-01-28       Impact factor: 5.923

3.  Multiomics Topic Modeling for Breast Cancer Classification.

Authors:  Filippo Valle; Matteo Osella; Michele Caselle
Journal:  Cancers (Basel)       Date:  2022-02-23       Impact factor: 6.639

4.  Identification of Novel Molecular Therapeutic Targets and Their Potential Prognostic Biomarkers Based on Cytolytic Activity in Skin Cutaneous Melanoma.

Authors:  Haoxue Zhang; Yuyao Liu; Delin Hu; Shengxiu Liu
Journal:  Front Oncol       Date:  2022-03-08       Impact factor: 6.244

5.  Differential Neuropathology, Genetics, and Transcriptomics in Two Kindred Cases with Alzheimer's Disease and Lewy Body Dementia.

Authors:  Ilaria Palmieri; Tino Emanuele Poloni; Valentina Medici; Susanna Zucca; Annalisa Davin; Orietta Pansarasa; Mauro Ceroni; Livio Tronconi; Antonio Guaita; Stella Gagliardi; Cristina Cereda
Journal:  Biomedicines       Date:  2022-07-13
  5 in total

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