ArticleInternational journal of molecular sciences2019
Molecular Inverse Comorbidity between Alzheimer's Disease and Lung Cancer: New Insights from Matrix Factorization.
Article in International journal of molecular sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Ethnic and trans-ethnic genome-wide association studies identify new loci influencing Japanese Alzheimer's disease risk.Translational psychiatry · 2021Pooled it
- Conserved Pathways, Divergent Outcomes: A Cross-Species Genomic Perspective on the Cancer-Neurodegeneration Paradox.International journal of molecular sciences · 2026Review
- Deciphering the role of complement system genes in pancreatic cancer susceptibility and prognosis.Nature communications · 2025Article
- A phenome-wide Mendelian randomization analysis reveals the genetical associations of myocardial infarction, angina pectoris and Alzheimer's disease with lung cancer.Scientific reports · 2025Article
- A network of transcriptomic signatures identifies novel comorbidity mechanisms between schizophrenia and somatic disorders.Discover mental health · 2024Article
- Apoptosis Genes as a Key to Identification of Inverse Comorbidity of Huntington's Disease and Cancer.International journal of molecular sciences · 2023Article
- Fenretinide in Cancer and Neurological Disease: A Two-Face Janus Molecule.International journal of molecular sciences · 2022Review
- Article
- Autoencoder Networks Decipher the Association between Lung Cancer and Alzheimer's Disease.Computational intelligence and neuroscience · 2022Article
- Chronic Respiratory Diseases and Neurodegenerative Disorders: A Primer for the Practicing Clinician.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2021Review
- Emerging Evidences for an Implication of the Neurodegeneration-Associated Protein TAU in Cancer.Brain sciences · 2020Review
- Independent Component Analysis for Unraveling the Complexity of Cancer Omics Datasets.International journal of molecular sciences · 2019Review
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Authors and funding
9 authors.
Funding
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Abstract
Matrix factorization (MF) is an established paradigm for large-scale biological data analysis with tremendous potential in computational biology. Here, we challenge MF in depicting the molecular bases of epidemiologically described disease-disease (DD) relationships. As a use case, we focus on the inverse comorbidity association between Alzheimer's disease (AD) and lung cancer (LC), described as a lower than expected probability of developing LC in AD patients. To this day, the molecular mechanisms underlying DD relationships remain poorly explained and their better characterization might offer unprecedented clinical opportunities. To this goal, we extend our previously designed MF-based framework for the molecular characterization of DD relationships. Considering AD-LC inverse comorbidity as a case study, we highlight multiple molecular mechanisms, among which we confirm the involvement of processes related to the immune system and mitochondrial metabolism. We then distinguish mechanisms specific to LC from those shared with other cancers through a pan-cancer analysis. Additionally, new candidate molecular players, such as estrogen receptor (ER), cadherin 1 (CDH1) and histone deacetylase (HDAC), are pinpointed as factors that might underlie the inverse relationship, opening the way to new investigations. Finally, some lung cancer subtype-specific factors are also detected, also suggesting the existence of heterogeneity across patients in the context of inverse comorbidity.
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