Is the Expression Pattern of BD ProExC the Same as Ki-67? A Comparative Analysis in Cervical Biopsies

Sequential gene expression analysis of cervical malignant transformation identifies RFC4 as a novel diagnostic and prognostic biomarker

BACKGROUND

Cervical squamous cell carcinoma (SCC) is known to arise through increasingly higher-grade squamous intraepithelial lesions (SILs) or cervical intraepithelial neoplasias (CINs). This study aimed to describe sequential molecular changes and identify biomarkers in cervical malignant transformation.

METHODS

Multidimensional data from five publicly available microarray and TCGA-CESC datasets were analyzed. Immunohistochemistry was carried out on 354 cervical tissues (42 normal, 62 CIN1, 26 CIN2, 47 CIN3, and 177 SCC) to determine the potential diagnostic and prognostic value of identified biomarkers.

RESULTS

We demonstrated that normal epithelium and SILs presented higher molecular homogeneity than SCC. Genes in the region (e.g., 3q, 12q13) with copy number alteration or HPV integration were more likely to lose or gain expression. The IL-17 signaling pathway was enriched throughout disease progression with downregulation of IL17C and decreased Th17 cells at late stage. Furthermore, we identified AURKA, TOP2A, RFC4, and CEP55 as potential causative genes gradually upregulated during the normal-SILs-SCC transition. For detecting high-grade SIL (HSIL), TOP2A and RFC4 showed balanced sensitivity (both 88.2%) and specificity (87.1 and 90.1%), with high AUC (0.88 and 0.89). They had equivalent diagnostic performance alone to the combination of p16^INK4a and Ki-67. Meanwhile, increased expression of RFC4 significantly and independently predicted favorable outcomes in multi-institutional cohorts of SCC patients.

CONCLUSIONS

Our comprehensive study of gene expression profiling has identified dysregulated genes and biological processes during cervical carcinogenesis. RFC4 is proposed as a novel surrogate biomarker for determining HSIL and HSIL+, and an independent prognostic biomarker for SCC.

Surrogate markers for high-risk human papillomavirus infection in oral epithelial dysplasia: A comparison of p16, Ki-67, and ProExC

OBJECTIVE

The aim of this study was to determine the utility of surrogate markers of human papillomavirus (HPV) infection in the diagnosis of HPV-associated oral epithelial dysplasia (OED).

STUDY DESIGN

Twelve cases of oral dysplasia with histologic features of HPV infection were stained with surrogate markers for HPV (p16, Ki-67, and ProExC) on immunohistochemistry. A second group of 12 cases of oral dysplasia without histologic features of HPV infection was used for comparison. Reverse transcriptase polymerase chain reaction (RT-PCR) was used to confirm the presence of high-risk HPV (HR HPV) in p16-positive cases.

RESULTS

All of the surrogate markers showed a statistically significant association with HPV-positive OED (P < .001). The agreement between p16 and HPV positivity was the strongest (κ = 1.00), whereas Ki-67 showed very good association with HPV (κ = 0.83), and ProExC showed good association (κ = 0.75). In each case, the agreement was statistically significant (P < .001). Overall, each of the 3 markers showed good sensitivity; however, ProExC showed the lowest specificity.

CONCLUSIONS

The clinicopathologic features of 12 cases of HPV OED are reported. Diffuse p16 positivity is an accurate and reliable method for predicting HR HPV infection in both high and low grade cases of epithelial dysplasia with histopathologic features of HPV OED. The use of Ki-67 and ProExC did not demonstrate any additional diagnostic benefit in the diagnosis HPV OED.

Immunohistochemistry in Gynecologic Pathology: An Example-Based Practical Update

CONTEXT

- Immunohistochemical stains are routinely applied in the pathology diagnostic workup of gynecologic lesions. The rapidly expanding repertoire of available markers helps in refining the diagnostic criteria for each disease entity; however, limitations and pitfalls exist.

OBJECTIVE

- To provide a practical, relevant update on the use of immunohistochemistry for commonly encountered differential diagnoses in gynecologic pathology.

DATA SOURCES

- Literature review and authors' diagnostic experience.

CONCLUSIONS

- Immunohistochemistry is a helpful adjunct tool in gynecologic pathology. Although the primary application is in the diagnostic workup, novel prognostic and predictive markers, and immunostains to screen for genetic cancer syndromes, have also been recently introduced in the field.

High-Content Imaging in Cervical Cancer Screening

A shift from conventional cytology to a molecular approach could improve cervical cancer screening. This proof-of-concept study aims to develop a high-content imaging platform for the simultaneous detection of multiple biomarkers for cervical disease. Liquid-based cytology (LBC) samples were used to optimize a dual ProExC/Ki-67 immunofluorescence staining protocol for SurePath-fixed cells. The simultaneous and automated detection of these biomarkers was performed using the BD Pathway 435 system. The ability of high-content imaging to detect dysplastic cervical cells was assessed using keratinocytes spiked with immunopositive SiHa cells and a high-grade squamous intraepithelial lesion (HSIL) LBC sample. The percentages of Ki-67- and ProExC-immunopositive objects correlated significantly with the percentages of spiked SiHa cells. The dysplastic cells of the HSIL sample could be detected using high-content cell analysis. In conclusion, high-content imaging allows the simultaneous and automated detection of Ki-67- and ProExC-immunopositive dysplastic cells in LBC specimens.

MOLECULAR MARKERS OF EARLY CERVICAL NEOPLASIA

Pure morphological distinction of high-grade squamous intraepithelial lesions (HSILs) from their mimics can be challenging. Diagnosis can be difficult with nonconventional HSILs associated with a metaplastic phenotype, squamous intraepithelial lesions (SILs) that defy precise classification such as "eosinophilic dysplasias", and those that overlap with columnar neoplasms, including stratified variants of adenocarcinoma in situ ("SMILE"). Gene expression and protein profiling have identified biomarkers with the potential to decrease diagnostic variability and increase specificity of histological and cytological analysis. Among the ones clinically useful for HSIL detection are p16(INK4A) and MIB-1 which complement each other, differentiating SIL from normal/atrophic (MIB-1 low) or reactive/immature metaplastic (p16(INK4A) scattered) epithelium. Additional markers, including ProEx(TM) C, have been proposed but their added value is yet to be established. In the final analysis, biomarkers are most helpful for distinguishing benign immature or atrophic proliferations from HSIL. The distinction of LSIL from HSIL must be made on the hematoxylin and eosin-stained section and should be made with care, given the potential consequences of a diagnosis of CIN2 or CIN3.