Cervical intraepithelial neoplasia (CIN) represents a spectrum of preinvasive squamous lesions within the cervical epithelium, whose identification is a diagnostic challenge due to subtle histomorphological differences among its categories. This study explores ORF1p, a nucleic acid-binding protein derived from long interspersed nuclear element-1 (LINE-1), as a potential biomarker for enhancing CIN diagnosis. A comprehensive analysis of 143 cervical specimens, encompassing CIN I (n=20), CIN II (n=46), CIN III (n=14), invasive cancer (n=32), and nondysplastic cases (normal cervical epithelia (n=24) and atrophy (n=7) were conducted. ORF1p, Ki67, and p16 expressions were evaluated using immunohistochemistry. ORF1p immunopositivity was detected in the vast majority [110/112 (98.2%)] of dysplastic and neoplastic (CIN and invasive cancer) specimens, whereas 19/24 (79.2%) of normal cervical specimens lacked ORF1p expression. The observed pattern of ORF1p expression showed a progressively increasing extent and intensity with advancing CIN grades. CIN I exhibited mild ORF1p expression in the lower one or two-thirds of the cervical epithelium [14/16 (87.5%)], whereas CIN II demonstrated moderate to strong ORF1p expression spanning the lower two-thirds [29/46 (63.0%)]. Pronounced transepithelial ORF1p immunopositivity characterized CIN III cases [13/14 (92.8%)] and cervical cancer [30/32 (93.8%)]. These findings propose ORF1p as a valuable indicator even for detecting CIN I, effectively discerning them from normal cervical tissue (p < 0.0001). Our findings underscore the potential of ORF1p as an early diagnostic marker for cervical neoplasia.

For centuries, the most prevalent antler abnormalities observed worldwide have been attributed to trauma. However, detailed pathological investigation of these cases has not yet been carried out. In free-living fallow deer (Dama dama), we identified a chronic osteomyelitis-like condition—Pedunculitis Chronica Deformans (PCD)—using pathological and radiological diagnostics. We propose that inflammation during post-casting wound healing and consequent scar formation can trigger the development of PCD. In this study, we characterize the pathomorphology of PCD and introduce a scoring system to describe its severity. Furthermore, we describe the histoanatomy of the junction between the pedicle and the surrounding skin—an area essential for the integrity of the integument—which, when compromised, may predispose cervids to PCD. Our findings suggest that the most common antler abnormality results from a pathological fracture associated with PCD, which can be further complicated by fatal meningoencephalitis and brain abscesses. PCD-related lesions, while less frequently observed, can also be identified in roe deer (Capreolus capreolus) and red deer (Cervus elaphus), with species-specific differences. These findings overlap with cases reported in other cervid species, suggesting a more general disorder of antler formation. Describing this condition provides a basis for assessing its epidemiology and understanding its relevance to wildlife health.

Tumor progression is primarily driven by DNA mutations; however, this mechanism alone does not fully account for all aspects of tumor development. Beyond genetic alterations, epigenetic changes also significantly influence the mutational landscape and affect gene expression without altering the DNA sequence. To gain a more comprehensive understanding of these regulatory mechanisms, it is essential to analyze gene expression at the transcriptional level. In this study, we examined non-small cell lung cancer (NSCLC) samples to identify specific gene expression changes, particularly in early-stage tumors. We conducted a bioinformatic analysis of RNA-sequencing data, followed by validation using an independent dataset from The Cancer Genome Atlas. Our analysis revealed a set of differentially expressed genes, seven of which were validated in patient-derived samples. Among these genes, EFNA4 and TEDC2 were significantly upregulated, whereas CDC42EP2, STX11, THBD, TMEM88, and GPM6A were notably downregulated in tumor tissues compared with adjacent normal tissues. Our findings highlight a distinct gene expression signature that differentiates NSCLC samples from normal lung tissues at the transcriptional level. These results underscore the potential of transcriptomic profiling as a promising tool for early-stage cancer detection and biomarker discovery.