Background: To evaluate the usefulness of this biomarker in the diagnosis of cases of cervical neoplasia we studied the immunohistochemical expression of p16INK4a in a large series of archival cervical biopsies arranged into tissue microarray format.

Methods: TMAs were constructed with tissue cores from archival formalin fixed, paraffin-embedded donor tissues from 796 patients, and included cases of cervical intraepithelial neoplasia (CIN)1 (n = 249), CIN2 (n = 233), CIN3 (n = 181), and invasive cervical carcinoma (n = 133). p16INK4a expression was scored using two different protocols: 1) positive vs negative p16INK4a staining; 2) a semi-quantitative immunohistochemical score (0 to 8 points) according to the intensity of staining and the proportion of stained cells

Results: p16INK4A expression was not seen in normal cervix tissue, but was found with increasing frequency in the sequence: CIN1 (180/249; 72.3%) - CIN2 (212/233; 91.0%) - CIN3 (178/181; 98.3%) - invasive carcinoma (131/133; 98.5%). Using semi-quantitative scoring, all normal cervical samples had low scores (from 0 to 2 points), whilst the number of specimens with high scores was proportional to the degree of cervical dysplasia or the presence of invasive carcinoma.

Conclusion: Immunohistochemical analysis of p16INK4a expression is a useful diagnostic tool. Expression is related to the degree of histological dysplasia, suggesting that it may have prognostic and predicative value in the management of cervical neoplasia.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2714065PMC
http://dx.doi.org/10.1186/1746-1596-4-22DOI Listing

Publication Analysis

Top Keywords

cervical neoplasia
12
p16ink4a expression
12
cervical
8
tissue microarray
8
cases cervical
8
expression
5
p16ink4a
5
p16 diagnostic
4
diagnostic marker
4
marker cervical
4

Similar Publications

Introduction: The core objective of this study was to precisely locate metastatic lymph nodes, identify potential areas in nasopharyngeal carcinoma patients that may not require radiotherapy, and propose a hypothesis for reduced target volume radiotherapy on the basis of these findings. Ultimately, we reassessed the differences in dosimetry of organs at risk (OARs) between reduced target volume (reduced CTV2) radiotherapy and standard radiotherapy.

Methods And Materials: A total of 209 patients participated in the study.

View Article and Find Full Text PDF

Background: Ovarian cancers (OC) and cervical cancers (CC) have poor survival rates. Tumor-infiltrating lymphocytes (TILs) play a pivotal role in prognosis, but shared immune mechanisms remain elusive.

Methods: We integrated single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics (ST) to explore immune regulation in OC and CC, focusing on the PI3K/AKT pathway and FLT3 as key modulators.

View Article and Find Full Text PDF

Background: Oral squamous cell carcinoma (OSCC) ranks as the sixth most common malignancy globally. Cisplatin is the standard chemotherapy for OSCC, but resistance often reduces its efficacy, necessitating new treatments with fewer side effects. Rumex dentatus L.

View Article and Find Full Text PDF

An automatic cervical cell classification model based on improved DenseNet121.

Sci Rep

January 2025

Department of Biomedical Engineering, School of Life Science and Technology, Changchun University of Science and Technology, Changchun, 130022, China.

The cervical cell classification technique can determine the degree of cellular abnormality and pathological condition, which can help doctors to detect the risk of cervical cancer at an early stage and improve the cure and survival rates of cervical cancer patients. Addressing the issue of low accuracy in cervical cell classification, a deep convolutional neural network A2SDNet121 is proposed. A2SDNet121 takes DenseNet121 as the backbone network.

View Article and Find Full Text PDF

CAFs-released exosomal CREB1 promotes cell progression and immune evasion in thyroid cancer via the positive regulation of CCL20.

Autoimmunity

December 2025

Department of Thyroid Head and Neck Surgery, The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou, China.

Background: Exosomes derived from cancer-associated fibroblasts (CAFs) can affect tumor microenvironment (TME) of thyroid cancer (TC). The cAMP response element binding protein 1 (CREB1) acts as a transcription factor to participate in cancer development. Currently, we aimed to explore the molecular mechanism of exosome-associated CREB1 and C-C motif chemokine ligand 20 (CCL20) in TC.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!