High levels of fibrotic tumor components are associated with recurrence and intratumoral immune status in advanced colorectal cancer patients.

The importance of collagen and elastin remains incompletely understood concerning tumor immunity in cancer tissues. This study explored the clinical significance of collagen and elastin deposition on tumor immunity in advanced colorectal cancer patients. The collagen and elastin contents were assessed simultaneously using elastic van Gieson (EVG) histochemical staining.

Nuclear morphological characterisation of lobular carcinoma variants: a morphometric study.

Background And Aims: Lobular carcinoma (LC) of the breast exhibits diverse morphology and clinical behaviour. The pleomorphic variant (pLC) displays distinct cytonuclear features and aggressiveness compared to the classic variant (cLC). However, diagnosing pLC remains subjective.

Protection of understory vegetation by deer exclosure fences prevent the reduction of beech growth due to soil erosion.

Overbrowsing by ungulates has degraded understory vegetation in worldwide forests. Understory degradation causes soil erosion and environmental degradation, causing mature tree decline. Although ungulate exclosure fences are installed to protect vegetation, their effectiveness in preventing tree decline associated with soil degradation remains unclear.

Clinical Significance of FAM83G in Breast Cancer: Association With Triple-negative Subtype and Prognosis.

Background/aim: Family with sequence similarity 83 member G (FAM83G) plays an important role in cancer aggressiveness and patients' prognosis across various types of cancer. However, the association of FAM83G protein expression in breast cancer with clinicopathologic factors, breast cancer subtypes, and prognosis is not well characterized. This study aimed to elucidate the clinical significance of FAM83G protein expression in breast cancer.

Deep Learning Reconstruction in Abdominopelvic Contrast-Enhanced CT for The Evaluation of Hemorrhages.

Purpose: To investigate the effects of deep learning reconstruction on depicting arteries and providing suitable images for the evaluation of hemorrhages with abdominopelvic contrast-enhanced computed tomography (CT) compared with hybrid iterative reconstruction.

Methods: This retrospective study included 16 patients (mean age: 54.2 ± 22.