Cluster Differentiation 133 Expression in Patients With Basal Cell Carcinoma: an Immunohistochemical Review

Basal cell carcinoma (BCC) is the most common non-melanoma skin cancer in humans, developing on skin exposed to ultraviolet light and rarely metastasizing. Cancer stem cell markers such as CD133 have been extensively studied in various malignancies, but their expression in BCC remains controversial and has not been widely studied in Indonesia. Determine the difference in CD133 expression between BCC patients and normal skin. Analytical observational study with a case control design was conducted at Dr. Moewardi General Hospital in Surakarta from April to July 2025. The sample included 13 BCC tissues and 13 normal skin controls taken by consecutive sampling from paraffin blocks from 2021-2024. CD133 immunohistochemical staining was performed with Allred scoring by a single pathologist on at least four random fields of view. Descriptive analysis presented demographic characteristics and Allred scores, while the Chi square test was used to compare CD133 expression between groups with significance at p < 0.05. The mean CD133 Allred score was 7.15 ± 0.56 in KSB tissue and 7.31 ± 0.48 in normal skin. Strongly positive CD133 expression was found in 12/13 BCC patients and 13/13 normal skin. Chi square analysis showed no significant difference in CD133 expression between the BCC and normal skin groups (p=0.308). CD133 expression based on the Allred score did not differ significantly between BCC tissue and normal skin, indicating that CD133 is not useful as a single marker for the diagnosis or prognosis of KSB

Authors

Institutions

Publication Details

Journal
Journal Of Social Research
Published
2025-09-26
DOI
https://doi.org/10.55324/josr.v4i9.2802
Primary Topic
Nonmelanoma Skin Cancer Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Cluster Differentiation 133 Expression in Patients With Basal Cell Carcinoma: an Immunohistochemical Review

Ammarilis Murastami, Novan Adi Setyawan, Nugrohoaji Dharmawan, Nurrachmat Mulianto et al.
Journal Of Social Research
Nonmelanoma Skin Cancer Studies
article

Cluster Differentiation 133 Expression in Patients With Basal Cell Carcinoma: an Immunohistochemical Review

Ammarilis Murastami, Novan Adi Setyawan, Nugrohoaji Dharmawan, Nurrachmat Mulianto, Rahmat Firdaus Dwi Utama
article en

Abstract

Basal cell carcinoma (BCC) is the most common non-melanoma skin cancer in humans, developing on skin exposed to ultraviolet light and rarely metastasizing. Cancer stem cell markers such as CD133 have been extensively studied in various malignancies, but their expression in BCC remains controversial and has not been widely studied in Indonesia. Determine the difference in CD133 expression between BCC patients and normal skin. Analytical observational study with a case control design was conducted at Dr. Moewardi General Hospital in Surakarta from April to July 2025. The sample included 13 BCC tissues and 13 normal skin controls taken by consecutive sampling from paraffin blocks from 2021-2024. CD133 immunohistochemical staining was performed with Allred scoring by a single pathologist on at least four random fields of view. Descriptive analysis presented demographic characteristics and Allred scores, while the Chi square test was used to compare CD133 expression between groups with significance at p < 0.05. The mean CD133 Allred score was 7.15 ± 0.56 in KSB tissue and 7.31 ± 0.48 in normal skin. Strongly positive CD133 expression was found in 12/13 BCC patients and 13/13 normal skin. Chi square analysis showed no significant difference in CD133 expression between the BCC and normal skin groups (p=0.308). CD133 expression based on the Allred score did not differ significantly between BCC tissue and normal skin, indicating that CD133 is not useful as a single marker for the diagnosis or prognosis of KSB

Journal Of Social ResearchVol. 4(9)
Sebelas Maret University (ID)
Openalex Percentile: Top 64%
Nonmelanoma Skin Cancer Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.