Examples of Inverse Comorbidity between Cancer and Neurodegenerative Diseases: A Possible Role for Noncoding RNA
Open accessAbstract
Cancer is one of the most common causes of death; in parallel, the incidence and prevalence of central nervous system diseases are equally high. Among neurodegenerative diseases, Alzheimer’s dementia is the most common, while Parkinson’s disease (PD) is the second most frequent neurodegenerative disease. There is a significant amount of evidence on the complex biological connection between cancer and neurodegeneration. Noncoding RNAs (ncRNAs) are defined as transcribed nucleotides that perform a variety of regulatory functions. The mechanisms by which ncRNAs exert their functions are numerous and involve every aspect of cellular life. The same ncRNA can act in multiple ways, leading to different outcomes; in fact, a single ncRNA can participate in the pathogenesis of more than one disease—even if these seem very different, as cancer and neurodegenerative disorders are. The ncRNA activates specific pathways leading to one or the other clinical phenotype, sometimes with obvious mechanisms of inverse comorbidity. We aimed to collect from the existing literature examples of inverse comorbidity in which ncRNAs seem to play a key role. We also investigated the example of mir-519a-3p, and one of its target genes Poly (ADP-ribose) polymerase 1, for the inverse comorbidity mechanism between some cancers and PD. We believe it is very important to study the inverse comorbidity relationship between cancer and neurodegenerative diseases because it will help us to better assess these two major areas of human disease.
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Aberrant miRNA can contribute to cancers, cardiovascular diseases, metabolic diseases, immune-mediated disorders, and neurological disorders.
“aberrant miRNA can contribute to cancers, cardiovascular diseases, metabolic diseases, immune-mediated disorders, and neurological disorders, etc.230,231”
From Epigenetic regulation in major depression and other stress-related disorders: molecular mechanisms, clinical relevance and therapeutic potential (2023) · cites this paper as [231]
Section 7 (Conclusions; page not available) describes miRNA deregulation in cancer, and Section 5 links altered miRNA expression to Alzheimer’s disease. Section 6.3 mentions an association with lipid metabolism, but does not establish a contribution to metabolic disease. The cited paper does not support the additional claims about cardiovascular or immune-mediated disorders. (LLM, conf=0.86)
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Mogavero, M. P., Bruni, O., DelRosso, L. M., & Ferri, R. (2020) · Brain Sciences · doi:10.3390/brainsci10070411 · Cited by 35 · see citing works
Self-citationMogavero, M. P., Silvani, A., DelRosso, L. M., Salemi, M., & Ferri, R. (2021) · Cancers · doi:10.3390/cancers13112612 · Cited by 35 · see citing works
Self-citationParnell, A. A., Nobrega, A. K. D., & Lyons, L. C. (2020) · Cellular Signalling · doi:10.1016/j.cellsig.2020.109904 · Cited by 34 · see citing works
Transcriptomic and Genetic Associations between Alzheimer’s Disease, Parkinson’s Disease, and Cancer
Forés-Martos, J., Boullosa, C., Domínguez, D. R., Sánchez-Valle, J., Suay‐García, B., Climent, J., Falcó, A., Valencia, A., Puig‐Butillé, J. A., Puig, S., et al. (2021) · Cancers · doi:10.3390/cancers13122990 · Cited by 34 · see citing works
Status of the Parkinson’s disease gene family expression in non-small-cell lung cancer
Liu, Q., Zheng, H., Deng, X. F., et al. (2015) · World Journal of Surgical Oncology · doi:10.1186/s12957-015-0646-y · Cited by 33 · see citing works
Pathak, G. A., Zhou, Z., Silzer, T. K., Barber, R. C., & Phillips, N. (2020) · Alzheimer s & Dementia · doi:10.1002/alz.12003 · Cited by 33 · see citing works
Fisicaro, F., Lanza, G., Pennisi, M., Vagli, C., Cantone, M., Pennisi, G., Ferri, R., & Bella, R. (2021) · Nutrients · doi:10.3390/nu13020536 · Cited by 33 · see citing works
Self-citation
Flagged first, then by citations
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Yuan, M., Yang, B., Rothschild, G., Mann, J. J., Sanford, L. D., Tang, X., Huang, C., Wang, C., & Zhang, W. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01519-z · Cited by 246 · see citing works
“…miRNA can contribute to cancers, cardiovascular diseases, metabolic diseases, immune-mediated disorders, and neurological disorders, etc. 230,231 For example, miR-106b-5p is an oncogenic miRNA that appears to be upregulated in different cancers, such as hepatic cancer, 232 cervical cancer,…”
Background
- Authors
- Salemi, M., Mogavero, M. P., Lanza, G., Mongioì, L. M., Calogero, A. E., & Ferri, R.
- Affiliations
- Istituti di Ricovero e Cura a Carattere Scientifico (IT)
- Istituti Clinici Scientifici Maugeri (IT)
- University of Catania (IT)
- Corresponding author
- Salemi, Michele
- ORCID
- Venue
- Cells
- Publisher
- MDPI AG
- Published
- 2022-06-15
- Volume
- 11
- Issue
- 12
- Pages
- 1930
- ISSN
- 2073-4409 (ISSN-L)
- PMC
- PMC9221903
- OpenAlex
- W4282972028
- Cited by
- 39
- References
- 237
- Citations by year
- 2026: 3 · 2025: 13 · 2024: 7 · 2023: 15 · 2022: 1
- FWCI
- 1.09
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Cells (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- Italian Ministry of Health (2773804)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer-related molecular mechanisms research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › MicroRNA in disease regulation
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA regulation and disease
- Keywords
- cancer, neurodegenerative diseases, non-coding RNA, Alzheimer's disease, Parkinson's disease, PARP1
- MeSH terms
- Alzheimer Disease, Humans, Neoplasms, Parkinson Disease, Comorbidity, Neurodegenerative Diseases, RNA, Untranslated
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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