A sequence of interconnected events known as the metastatic cascade promotes tumor progression by regulating cellular and molecular interactions between tumor, stromal, endothelial, and immune cells both locally and systemically. Recently, a new concept has emerged to better describe this process by defining four attributes that metastatic cells should undergo. Every individual hallmark represents a unique trait of a metastatic cell that impacts directly in the outcome of the metastasis process. These critical features, known as the hallmarks of metastasis, include motility and invasion, modulation of the microenvironment, cell plasticity and colonization. They are hierarchically regulated at different levels by several factors, including galectins, a highly conserved family of β-galactoside-binding proteins abundantly expressed in tumor microenvironments and sites of metastasis. In this review, we discuss the role of galectins in modulating each hallmark of metastasis, highlighting novel therapeutic opportunities for treating the metastatic disease.
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http://dx.doi.org/10.1042/BCJ20200167 | DOI Listing |
Eur J Nucl Med Mol Imaging
January 2025
Institute of Radiation Medicine, Fudan University, Xietu Road 2094, Shanghai, 200032, China.
Objectives: Mesothelin (MSLN) is an antigen that is overexpressed in various cancers, and its interaction with tumor-associated cancer antigen 125 plays a multifaceted role in tumor metastasis. The serum MSLN expression level can be detected using enzyme-linked immunosorbent assay; however, non-invasive visualization of its expression at the tumor site is currently lacking. Therefore, the aim of this study was to develop a molecular probe for imaging MSLN expression through positron emission tomography (PET).
View Article and Find Full Text PDFJ Cancer Surviv
January 2025
School of Nursing, College of Nursing, Taipei Medical University, Taipei, Taiwan.
Purpose: This meta-analysis aims to estimate the global prevalence of severe, moderate, overall malnutrition and moderating factors of malnutrition in colorectal cancer (CRC) survivors.
Methods: A comprehensive search was conducted in Embase, CINAHL, Medline-OVID, PubMed, Scopus, and Web of Science from inception to February 8, 2024, without language, region, or publication date restrictions. A generalized linear mixed model and random-effects model were used to examine the pooled prevalence, and moderator analyses were implemented to investigate variations in the pooled prevalence.
J Cancer Res Clin Oncol
January 2025
Key Laboratory of Laboratory Medicine, Ministry of Education of China, School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou, 325035, Zhejiang, China.
Purpose: Growing evidence suggests that the tyrosine phosphatase SHP2 is pivotal for tumor progression. Triple-negative breast cancer (TNBC) is the most lethal subtype of breast cancer, characterized by its high recurrence rate, aggressive metastasis, and resistance to chemotherapy. Understanding the mechanisms of tumorigenesis and the underlying molecular pathways in TNBC could aid in identifying new therapeutic targets.
View Article and Find Full Text PDFMed Phys
January 2025
Deparment of Radiation Oncology, Duke University, Durham, North Carolina, USA.
Background: Stereotactic radiosurgery (SRS) is widely used for managing brain metastases (BMs), but an adverse effect, radionecrosis, complicates post-SRS management. Differentiating radionecrosis from tumor recurrence non-invasively remains a major clinical challenge, as conventional imaging techniques often necessitate surgical biopsy for accurate diagnosis. Machine learning and deep learning models have shown potential in distinguishing radionecrosis from tumor recurrence.
View Article and Find Full Text PDFInt J Gynecol Cancer
January 2025
Division of Gynecologic Oncology, Koc University School of Medicine, Istanbul, Turkey.
Objective: This research was undertaken to identify risk factors for the involvement of sentinel lymph nodes (SLNs) in cases of endometrial cancer.
Methods: From February 2016 to April 2021, the cases of 874 women with endometrial cancer treated with the SLN algorithm at 11 institutions were analyzed in this retrospective study. Clinical and pathologic data were reviewed, and logistic regression was applied to identify predictive factors for SLN involvement.
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