One of the most dangerous aspects of cancer cell biology is their ability to grow, spread and form metastases in the main vital organs. The identification of dysregulated markers that drive intracellular signalling involved in the malignant transformation of neoplastic cells and the understanding of the mechanisms that regulate these processes is undoubtedly a key objective for the development of new and more targeted therapies. RAF-kinase inhibitor protein (RKIP) is an endogenous tumour suppressor protein that affects tumour cell survival, proliferation, and metastasis. RKIP might serve as an early tumour biomarker since it exhibits significantly different expression levels in various cancer histologies and it is often lost during metastatic progression. In this review, we discuss the specific impact of transcriptional, post-transcriptional and post-translational regulation of expression and activation/inhibition of RKIP and focus on those tumours for which experimental data on all these factors are available. In this way, we could select how these processes cooperate with RKIP expression in (1) Lung cancer; (2) Colon cancer, (3) Breast cancer; (4) myeloid neoplasm and Multiple Myeloma, (5) Melanoma and (6) clear cell Renal Cell Carcinoma. Furthermore, since RKIP seems to be a key marker of the development of several tumours and it may be assessed easily in various biological fluids, here we discuss the potential role of RKIP dosing in more accessible biological matrices other than tissues. Moreover, this objective may intercept the still unmet need to identify new and more accurate markers for the early diagnosis and prognosis of many tumours.
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http://dx.doi.org/10.3390/cancers14205070 | DOI Listing |
Psychol Assess
January 2025
University of Miami, Department of Psychology.
Premenstrual symptoms are distressing and impairing for individuals and costly to society. These symptoms are heterogeneous within and across people, dimensional, and dynamic. While some efforts have been made to understand the trajectories of premenstrual symptoms, two major gaps in the literature remain.
View Article and Find Full Text PDFJ Exp Psychol Hum Percept Perform
January 2025
Department of Psychology, Rutgers University, Newark.
Growing evidence highlights the predictive power of cross-notation magnitude comparison (e.g., 2/5 vs.
View Article and Find Full Text PDFJ Vis
January 2025
Laboratoire des Systèmes Perceptifs, Département d'études cognitives, École normale supérieure, PSL University, France.
Visual perception has been described as a dynamic process where incoming visual information is combined with what has been seen before to form the current percept. Such a process can result in multiple visual aftereffects that can be attractive toward or repulsive away from past visual stimulation. A lot of research has been conducted on what functional role the mechanisms that produce these aftereffects may play.
View Article and Find Full Text PDFGeroscience
January 2025
Center for Aging and Population Health, School of Public Health, University of Pittsburgh, 310 BelPB, 130 N. Bellefield Avenue, Pittsburgh, PA, 15213, USA.
Unintentional weight loss in older populations is linked to greater mortality and morbidity risks. This study aims to understand the metabolic mechanisms of unintentional weight loss and their relationship with body composition changes in older adults. We investigated plasma metabolite associations with weight and body composition changes over 5 years in 1335 participants (mean age 73.
View Article and Find Full Text PDFBrain Struct Funct
January 2025
CHRIST (Deemed to be University), Bangalore, Karnataka, India.
In this investigation, we delve into the neural underpinnings of auditory processing of Sanskrit verse comprehension, an area not previously explored by neuroscientific research. Our study examines a diverse group of 44 bilingual individuals, including both proficient and non-proficient Sanskrit speakers, to uncover the intricate neural patterns involved in processing verses of this ancient language. Employing an integrated neuroimaging approach that combines functional connectivity-multivariate pattern analysis (fc-MVPA), voxel-based univariate analysis, seed-based connectivity analysis, and the use of sparse fMRI techniques to minimize the interference of scanner noise, we highlight the brain's adaptability and ability to integrate multiple types of information.
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