Results 121 to 130 of about 92,917 (279)

Beyond bacterial defences: the role of lysozyme in cancer

open access: yesClinical and Translational Medicine, Volume 16, Issue 2, February 2026.
Lysozyme (LYZ) is a multi‐functional secreted factor that encompasses both antibacterial and immunomodulatory functions. Emerging evidence highlights its complex role in tumour progression by directly influencing tumour cells and modulating the immune microenvironment.
Lei Wang   +4 more
wiley   +1 more source

Case Report: Multifocal biphasic squamoid alveolar renal cell carcinoma [version 1; referees: 2 approved, 1 approved with reservations]

open access: yesF1000Research, 2016
A multifocal biphasic squamoid alveolar renal cell carcinoma in a 68-year-old man is reported. Four different peripheral tumor nodules were identified on gross examination.
Jose Ignacio Lopez
doaj   +1 more source

Novel missense mutation in the FH gene in familial renal cell cancer patients lacking cutaneous leiomyomas [PDF]

open access: yes, 2014
BACKGROUND: Hereditary leiomyomatosis and renal cell cancer (HLRCC) is a rare tumor predisposition syndrome characterized by cutaneous and uterine leiomyomas and papillary type 2 renal cell cancer. Germline mutation of the fumarate hydratase (FH) gene is
Hiroki Kuniyasu   +9 more
core   +1 more source

Metabolic reprogramming of efferocytosis in the tumour microenvironment: From apoptotic‐cell clearance to therapeutic targeting

open access: yesClinical and Translational Medicine, Volume 16, Issue 2, February 2026.
This review systematically deconstructs the pathological efferocytic—metabolic axis in tumours, framing it as a three‐stage, self‐reinforcing cycle: from metabolite‐driven macrophage recruitment, through hijacked surface recognition, to post‐phagocytic metabolic reprogramming that locks in immunosuppression.
Qianlu Yang, Jie Yan, Qianxi Yang
wiley   +1 more source

Research Progress on Molecular Genetic Alterations of Renal Cell Carcinoma

open access: yesZhongliu Fangzhi Yanjiu, 2018
Renal cell carcinoma(RCC) is the most important pathological type of renal carcinoma. Among all the RCC, clear cell renal cell carcinoma(ccRCC) is the most common type, followed by papillary renal cell carcinoma(PRCC) and chromophobe renal cell carcinoma(
WANG Jie, XI Zhijun
doaj   +1 more source

Loss of METTL3 m6A methyltransferase results in short‐term progression and poor treatment outcome of bladder cancer patients

open access: yesInternational Journal of Cancer, Volume 158, Issue 3, Page 763-774, 1 February 2026.
What's new? Bladder cancer exhibits a highly heterogeneous molecular landscape and treatment response. The dysregulation of RNA modifications such as m6A has been involved in cancer initiation and progression. This study comprehensively analyzed the expression of the main catalytic component of the m6A methylation machinery in bladder tumors across one
Katerina‐Marina Pilala   +10 more
wiley   +1 more source

Different DNA Loidy Patterns for the Differentiation of Common Subtypes of Renal Tumors

open access: yesCellular Oncology, 2005
Objectives: The common subtypes of renal tumors are conventional or clear cell carcinoma, papillary carcinoma, chromophobe carcinoma and oncocytoma. Each subtype has its distinct histogenesis and clinical evolution.
Guorong Li   +6 more
doaj   +1 more source

Outcomes of Genetic Testing in a Genitourinary Genetics Clinic [PDF]

open access: yes, 2018
Several known hereditary cancer syndromes confer an increased risk for genitourinary (GU)related malignancies. Various guidelines indicate when to refer patients to genetic counseling for GU-related hereditary cancer syndromes but there is limited ...
Pace, Annelise
core   +1 more source

Accelerating 2D Kidney Magnetic Resonance Fingerprinting Using Deep Learning Based Tissue Quantification

open access: yesJournal of Magnetic Resonance Imaging, Volume 63, Issue 2, Page 525-535, February 2026.
ABSTRACT Background Magnetic Resonance Fingerprinting (MRF) is a technique that can provide rapid quantification of multiple tissue properties. Deep learning may potentially contribute to an accelerated acquisition of MRF. Purpose (1) To develop a deep learning method to accelerate the acquisition for kidney MRF; (2) to evaluate its performance in ...
Zhiqing Yin   +8 more
wiley   +1 more source

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