(G Occhi and G Vazza contributed equally as senior authors)
The genetic component is thought to play an important role in the development of familial non-medullary thyroid carcinoma (fNMTC), but the involved molecular mechanisms and genes are poorly understood. The MAPK kinase cascade, particularly involving RAS and BRAF, is crucial in cancer development, with RIN1 emerging as a notable gene due to its differential expression across various tumor types. We identified a frameshift mutation (c.798delC: p.V267Sfs*83) in the RIN1 gene in a family with non-medullary thyroid cancer (NMTC) through whole-exome sequencing. Paraffin-embedded tumor tissues were analyzed to investigate the mutation’s characteristics and its potential implications within the thyroid cellular context. Functional assays and RNA sequencing using CRISPR/Cas9-edited Nthy-ori 3-1 thyroid cell line and xenograft zebrafish models confirmed the mutation effect and the putative RIN1 tumor suppressor role. The study revealed significant alterations in cellular behavior upon RIN1 knockout, including increased cell viability, proliferation and colony formation, alongside morphological changes indicative of epithelial–mesenchymal transition. Enhanced phosphorylation of ERK and AKT suggested MAPK pathway dysregulation following RIN1 depletion, supporting its potential tumor suppressive role. Phenotypic rescue experiments confirmed that reintroduction of wild-type RIN1 restored normal cellular behavior. RNA sequencing demonstrated differential gene expression between RIN1−/− and control cells, particularly affecting pathways associated with cancer progression, closely resembled signatures specific to NMTC. This study provides compelling evidence supporting RIN1 as a tumor suppressor gene within thyroid cells. In addition, the findings highlight its potential significance as novel gene involved in FNMTC pathogenesis.
Endocrine-Related Cancer is committed to supporting researchers in demonstrating the impact of their articles published in the journal.
The two types of article metrics we measure are (i) more traditional full-text views and pdf downloads, and (ii) Altmetric data, which shows the wider impact of articles in a range of non-traditional sources, such as social media.
More information is on the Reasons to publish page.
Sept 2018 onwards | Past Year | Past 30 Days | |
---|---|---|---|
Full Text Views | 68 | 68 | 45 |
PDF Downloads | 65 | 65 | 42 |