Utility of p16INK4a, CEA, Ki67, P53 and ER/PR in the differential diagnosis of benign, premalignant, and malignant glandular lesions of the uterine cervix and their relationship with Silverberg scoring system for endocervical glandular lesions.
Early detection of premalignant and malignant glandular lesions of the uterine cervix and their distinction from benign mimics is crucial but sometimes difficult. In this study, we investigated utility of expression of p16, CEA, Ki67, p53 and ER/PR in evaluating the benign, premalignant, and malignant glandular lesions of the uterine cervix. A total of 35 cervical cone or LEEP cases were collected including 14 adenocarcinoma in situ (AIS), 7 endocervical glandular dysplasia (EGD), and 14 benign mimics (BM). A histological score for each case according to the criteria proposed by Silverberg group was assigned independently by 4 pathologists. Formalin-fixed, paraffin-embedded sections were immunostained with p16, CEA, p53, Ki67, and ER/PR. Immunoreactivity was scored based on intensity (0 = none, 1 = mild, 2 = moderate, 3 = marked) and percentage of cells staining (0 = <1%,1 = 2-10%, 2 = 11-40%, 3 = >40%). A comparison of histological scores and immunoscores in 3 diagnostic categories was analysed. The histological scores assigned independently by 4 pathologists were all equal or above 6 for AIS, between 3 and 5 for EGD, and equal or below 3 for BM. There was increased expression of p16 and CEA in EGD compared with BM (P < 0.05), with further increase in expression of these markers in AIS compared with EGD (P < 0.05). Ki67 expression was significantly increased in AIS compared to EGD (P < 0.05) as well as compared to BM (P < 0.05). Ki67 expression was only slightly increased in EGD as compared to BM. There was a loss of ER/PR in cervical AIS, but not in EGD. Our results indicate that the Silverberg scoring system is a useful tool in differential diagnosis of cervical glandular lesions for increased diagnostic accuracy and interobserver agreement. Most cervical glandular lesions can be differentiated by using a combination of histological scores with a panel of immunomarkers.
Liang
John
J
New York University Medical Center, New York, New York, USA.
Mittal
Khushbakhat Rai
KR
Wei
Jian Jun
JJ
Yee
Herman
H
Chiriboga
Lois
L
Shukla
Pratibha
P
D014408:Biomarkers, Tumor / Q000378:metabolism*; D002272:Carcinoembryonic Antigen / Q000378:metabolism; D019941:Cyclin-Dependent Kinase Inhibitor p16 / Q000378:metabolism; D003937:Diagnosis, Differential; D005260:Female; D006801:Humans; D019394:Ki-67 Antigen / Q000378:metabolism; D011230:Precancerous Conditions / Q000175:diagnosis* / Q000378:metabolism* / Q000473:pathology; D011960:Receptors, Estrogen / Q000378:metabolism; D011980:Receptors, Progesterone / Q000378:metabolism; D016159:Tumor Suppressor Protein p53 / Q000378:metabolism; D002583:Uterine Cervical Neoplasms / Q000175:diagnosis* / Q000378:metabolism* / Q000473:pathology
D014408:Biomarkers, Tumor; D002272:Carcinoembryonic Antigen; D019941:Cyclin-Dependent Kinase Inhibitor p16; D019394:Ki-67 Antigen; D011960:Receptors, Estrogen; D011980:Receptors, Progesterone; D016159:Tumor Suppressor Protein p53