Cell-in-Cell Structures in Colorectal Cancer: A Proposed Assessment Method and Correlation with Established Poor Prognostic Factors

<b>Background</b>: Cell-in-cell (CIC) structure is a histological picture of a whole cell inside another cell. Homotypic CIC structures formed by cancer cells are consistently demonstrated to be a factor of poor prognosis and resistance to chemo- and immunotherapy in colorectal cancer (CRC). However, the absence of a standardized counting method limits the use of this factor in the applied research. <b>Objective</b>: To propose an adapted method for quantifying CIC structures in CRC surgical specimens and to evaluate their correlation with established adverse prognostic factors. <b>Methods</b>: A total of 250 histological slides of surgical specimens from 58 patients with pT1-pT4 colorectal adenocarcinoma were studied. Identification of tumor cells and visualization of CIC structures were performed by immunohistochemistry (CK20). Quantitative assessment was performed on digital scans of H&E stained slides. Quantitative assessment was performed on digital slide scans stained with H&E. CIC structures were counted in 5 fields of view corresponding to a ×40 objective (0.975 mm<sup>2</sup>). A correlation analysis of CIC structures with CRC poor prognosis factors was performed. <b>Results</b>: Immunohistochemical study (CK20) confirmed the formation and prevalence of homotypic structures (95%) over heterotypic ones (5%) (<i>p</i> < 0.001). This finding informed the evaluation of H&E-stained slides and the formulation of criteria for CIC structure identification. A significant predominance of CIC structures in the invasive front was established compared to the tumor central zone (16.7 ± 5.2 and 1.2 ± 1.3 per 5 fields of view, respectively, <i>p</i> < 0.0001). Correlation analysis revealed weak but statistically significant relationships with the tumor-stromal ratio, the tumor buds number and the density of tumor-infiltrating lymphocytes. No correlations were found with the right- or left-sided location, pTNM, grading, lymphovascular and perineural invasion. <b>Conclusions</b>: The paper presents the adapted CIC structures counting method for surgical specimens of CRC, defines the criteria of the CIC, and demonstrates a higher number of CIC structures in the tumor invasive front. Weak correlations between the CIC structures and established factors of CRC poor prognosis are obtained.

Authors

Institutions

Publication Details

Journal
Journal of Personalized Medicine
Published
2025-12-03
DOI
https://doi.org/10.3390/jpm15120591
Primary Topic
Cancer Cells and Metastasis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Cell-in-Cell Structures in Colorectal Cancer: A Proposed Assessment Method and Correlation with Established Poor Prognostic Factors

Arseniy L. Potapov, Алексей Анатольевич Казаков, М. Л. Бугрова, Irina Druzhkova et al.
Journal of Personalized Medicine
Cancer Cells and Metastasis
article

Cell-in-Cell Structures in Colorectal Cancer: A Proposed Assessment Method and Correlation with Established Poor Prognostic Factors

Arseniy L. Potapov, Алексей Анатольевич Казаков, М. Л. Бугрова, Irina Druzhkova, Uliana Lisitsa, Ruslan Spashchanskii, Anastasiya Shepeleva
article en

Abstract

<b>Background</b>: Cell-in-cell (CIC) structure is a histological picture of a whole cell inside another cell. Homotypic CIC structures formed by cancer cells are consistently demonstrated to be a factor of poor prognosis and resistance to chemo- and immunotherapy in colorectal cancer (CRC). However, the absence of a standardized counting method limits the use of this factor in the applied research. <b>Objective</b>: To propose an adapted method for quantifying CIC structures in CRC surgical specimens and to evaluate their correlation with established adverse prognostic factors. <b>Methods</b>: A total of 250 histological slides of surgical specimens from 58 patients with pT1-pT4 colorectal adenocarcinoma were studied. Identification of tumor cells and visualization of CIC structures were performed by immunohistochemistry (CK20). Quantitative assessment was performed on digital scans of H&E stained slides. Quantitative assessment was performed on digital slide scans stained with H&E. CIC structures were counted in 5 fields of view corresponding to a ×40 objective (0.975 mm<sup>2</sup>). A correlation analysis of CIC structures with CRC poor prognosis factors was performed. <b>Results</b>: Immunohistochemical study (CK20) confirmed the formation and prevalence of homotypic structures (95%) over heterotypic ones (5%) (<i>p</i> < 0.001). This finding informed the evaluation of H&E-stained slides and the formulation of criteria for CIC structure identification. A significant predominance of CIC structures in the invasive front was established compared to the tumor central zone (16.7 ± 5.2 and 1.2 ± 1.3 per 5 fields of view, respectively, <i>p</i> < 0.0001). Correlation analysis revealed weak but statistically significant relationships with the tumor-stromal ratio, the tumor buds number and the density of tumor-infiltrating lymphocytes. No correlations were found with the right- or left-sided location, pTNM, grading, lymphovascular and perineural invasion. <b>Conclusions</b>: The paper presents the adapted CIC structures counting method for surgical specimens of CRC, defines the criteria of the CIC, and demonstrates a higher number of CIC structures in the tumor invasive front. Weak correlations between the CIC structures and established factors of CRC poor prognosis are obtained.

Journal of Personalized MedicineVol. 15(12)
Privolzhsky Research Medical University (RU), Nizhny Novgorod Regional Clinical Oncology Center (RU)
Openalex Percentile: Top 46%
Cancer Cells and Metastasis
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.