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Related Experiment Video

Updated: Jun 10, 2025

A Time-lapse, Label-free, Quantitative Phase Imaging Study of Dormant and Active Human Cancer Cells

A Time-lapse, Label-free, Quantitative Phase Imaging Study of Dormant and Active Human Cancer Cells

Published on: February 16, 2018

Cell-cycle phase progression analysis identifies three unique phenotypes in soft tissue sarcoma.

Mark M Cullen¹, Alexander L Lazarides², Patricia D Pittman³

¹Department of Orthopaedic Surgery, Duke University Medical Center, Durham, NC, USA. mark.cullen@duke.edu.

|October 16, 2024

Summary

This summary is machine-generated.

Three sarcoma cell-cycle phenotypes show prognostic significance, similar to the AJCC staging system. Phenotype III tumors had significantly decreased survival rates, indicating their prognostic value in soft tissue sarcomas.

Keywords:

Cell-cycle Phenotypes Prognosis Sarcoma

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Last Updated: Jun 10, 2025

A Time-lapse, Label-free, Quantitative Phase Imaging Study of Dormant and Active Human Cancer Cells

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Published on: February 16, 2018

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Imaging- and Flow Cytometry-based Analysis of Cell Position and the Cell Cycle in 3D Melanoma Spheroids

Imaging- and Flow Cytometry-based Analysis of Cell Position and the Cell Cycle in 3D Melanoma Spheroids

Published on: December 28, 2015

Area of Science:

Oncology
Molecular Biology
Cancer Research

Background:

Cell cycle markers and phenotypes have established prognostic significance in breast carcinoma.
Understanding these markers in sarcoma is crucial for improving patient outcomes.

Purpose of the Study:

To identify prognostic cell-cycle markers in sarcoma.
To evaluate the prognostic potential of specific cell-cycle phenotypes in sarcoma.

Main Methods:

Tissue samples from 128 primary soft tissue sarcomas were analyzed.
Four cell cycle markers (Mcm2, Geminin, Plk1, H3S10ph) were used for staining.
Three cell-cycle phenotypes were derived and their prognostic significance assessed using Cox regression.

Main Results:

Phenotype III tumors showed significantly decreased 5-year overall survival, disease-free survival, and metastasis-free survival compared to phenotype I.
High expression of Plk1 and Geminin were associated with decreased overall survival.
The identified phenotypes demonstrated prognostic performance comparable to the AJCC staging system.

Conclusions:

Three distinct sarcoma cell-cycle phenotypes with significant prognostic value were identified.
These phenotypes offer a valuable tool for predicting sarcoma patient outcomes.
The findings suggest that cell-cycle profiling can complement existing staging systems in sarcoma.