Context: Metastatic disease is responsible for the majority of endocrine cancer deaths. New therapeutic targets are urgently needed to improve patient survival rates.
Objective: The proto-oncogene PTTG1-binding factor (PBF/PTTG1IP) is overexpressed in multiple endocrine cancers and circumstantially associated with tumor aggressiveness. This study aimed to understand the role of PBF in tumor cell invasion and identify possible routes to inhibit its action. Design, Setting, Patients, and Interventions: Thyroid, breast, and colorectal cells were transfected with PBF and cultured for in vitro analysis. PBF and cortactin (CTTN) expression was determined in differentiated thyroid cancer and The Cancer Genome Atlas RNA-seq data.
Primary Outcome Measure: Pro-invasive effects of PBF were evaluated by 2D Boyden chamber, 3D organotypic, and proximity ligation assays.
Results: Our study identified that PBF and CTTN physically interact and co-localize, and that this occurs at the cell periphery, particularly at the leading edge of migrating cancer cells. Critically, PBF induces potent cellular invasion and migration in thyroid and breast cancer cells, which is entirely abrogated in the absence of CTTN. Importantly, we found that CTTN is over-expressed in differentiated thyroid cancer, particularly in patients with regional lymph node metastasis, which significantly correlates with elevated PBF expression. Mutation of PBF (Y174A) or pharmacological intervention modulates the PBF: CTTN interaction and attenuates the invasive properties of cancer cells.
Conclusion: Our results demonstrate a unique role for PBF in regulating CTTN function to promote endocrine cell invasion and migration, as well as identify a new targetable interaction to block tumor cell movement.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5155689 | PMC |
http://dx.doi.org/10.1210/jc.2016-1932 | DOI Listing |
Clin Transl Gastroenterol
December 2024
Health Management Center, Affiliated Nanhua Hospital, University of South China, Hengyang 421002, China.
Background: Obesity is the primary cause of metabolic associated steatotic liver disease (MASLD). Healthy lifestyle management has potential value in the treatment of MASLD.
Methods: A total of 150 patients with MASLD diagnosed at the Health Management Center of our hospital were enrolled and randomly divided into a traditional treatment (control group, n=75) and healthy lifestyle group (observation group, n=75).
J Cachexia Sarcopenia Muscle
February 2025
Chronic Disease Research Institute, the Children's Hospital, and National Clinical Research Center for Child Health, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, China.
Background: Normal weight obesity (NWO) is characterized by excess body fat in individuals with normal body mass index (BMI). This study aimed to investigate gut microbiota alterations in NWO and their potential associations with cardiometabolic diseases (CMD) risk in two independent cohorts.
Methods: Our NWO-CMD mortality analysis included 168 099 adults with normal BMI from two large open-access databases, while our NWO-gut microbiota study involved 5467 adults with normal BMI from two independent cohorts: the WELL-China cohort and the Lanxi cohort.
Age Ageing
November 2024
Department of Physical Education and Sport, Faculty of Sport Sciences, University of Granada, Granada, Spain.
Rev Bras Enferm
December 2024
Universidade Federal de Minas Gerais. Belo Horizonte, Minas Gerais, Brazil.
Objectives: to identify the strategies found in the literature for increasing vaccination coverage among children in Brazil. It is justified mainly by the current scenario of falling vaccination coverage.
Methods: systematic literature review.
Materials (Basel)
December 2024
Department of Industrial Engineering, J.B. Speed School of Engineering, University of Louisville, Louisville, KY 40292, USA.
The simulation of additive manufacturing has become a prominent research area in the past decade. Process physics simulations are employed to replicate laser powder bed fusion (L-PBF) manufacturing processes, aiming to predict potential issues through simulated data. This study focuses on calculating surface roughness by utilizing 3D surface topology extracted from simulated data, as surface roughness significantly influences part quality.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!