Clinicopathological Characteristics of Cervical Squamous Cell Carcinoma and Correlation with Tumor-Associated Neutrophil

  • Nanda Safira Alisa
  • Joko M
  • Citra Dewi
  • Susilawati
  • Ika Kartika Edi Pudjo
Keywords: cervical squamous cell carcinoma, tumor-associated neutrophil, clinicopathological characteristics, prognostic


Cervical carcinoma is one of the most common cancers in women, according to data from World Health Organization (WHO).
Cervical carcinoma ranks the fourth most deadly type of cancer. Squamous cell carcinoma is the most common type of this cervical
cancer and it is generally caused by Human Papilloma Virus (HPV) types 16 and 18. Tumor-Associated Neutrophil (TAN) are found
in various types of cancer, the density of TAN can determine the prognostic type of tumor or cancer in each individual. This study
was aimed to identify correlation between clinicopathological characteristics of cervical squamous cell carcinoma (SCC) and TAN in
cervical SCC patients registered at RSUP Dr. Mohammad Hoesin Palembang.
This type of research is analytic with a cross-sectional method. Data collection in this study used a 37 slides archive which were
diagnosed as cervical squamous cell carcinoma in Anatomic Pathology in RSUP Dr. Mohammad Hoesin Palembang for the period
of 2017-2019.
From 37 cervical SCC patients, the clinicopathological characteristics of the majority of cervical SCC patients occurred in the age
group of 51 year-old (51.4%), with histopathological type of non-keratinizing SCC (75,7%) and the most frequent differentiation
degree was moderately differentiated (75,7%). The TAN density was mostly found at low TAN densities (73%). There was
significant correlation between age and TAN density (p=0.035) and there was no significant correlation between age and TAN
density (p=0.269).
It was explained that the higher the degree of differentiation, the lower the density value, however the neutrophils in this study
cannot be ascertained whether the neutrophils of anti-tumor (N1) or pro-tumor (N2) characteristic


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