Flow cytometric enumeration and kinetic analysis of inflammatory cell populations in breast carcinomas

Daniel W Visscher, Gretta VanBree, Susan Ottosen, Susan Wykes, John D. Crissman

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Inflammatory cell populations were quantitated in 76 consecutive mechanically dissociated clinical breast carcinoma specimens using multiparameter, two-color (PI-cytokeratin/FITC, PI-LCA/FITC) flow cytometric analysis. The percent LCA-positive events varied from 1.3-62.5% (mean = 11%) and correlated with degree of histologic inflammatory cell infiltrate (mild-5.8% LCA + events vs. marked-35.9% LCA + events, P < 0.001), abnormal DNA content (diploid range - 4.6% LCA + events vs. aneuploid - 13.3% LCA + events, P = 0.003) and poor tumor differentiation (well-moderate - 6.5% LCA + events vs. poor - 19.9% LCA + events, P = 0.001). Synthesis phase fractions in LCA-positive populations were uniformly less than the corresponding cytokeratin (CK)-positive cells (mean LCA + SPF = 4.4% vs. mean CK + SPF = 15.5%) and varied from 3-11%. Proliferation among inflammatory populations did not correlate statistically with the total percent of LCA or CK-positive events, nor with the SPF in epithelial populations. However, proliferative activity of inflammatory components was greater in tumors with predominately intratumoral, vs. peritumoral, inflammatory cell distribution (4.6% vs. 3.3%, P = 0.03) and in tumors with greater numbers of large, 'transformed' lymphocytes (few = 3.25% vs. many = 6.5% LCA + SPF, P = 0.001). We conclude multiparameter flow cytometric analysis of mechanically-dissociated breast tumors is representative of tumor infiltrating lymphoid populations in breast tumors and provides a potentially useful means of studying biologically relevant tumor-host interactions.

Original languageEnglish (US)
Pages (from-to)321-330
Number of pages10
JournalAnalytical Cellular Pathology
Volume5
Issue number6
StatePublished - Nov 1993
Externally publishedYes

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Keratins
Breast Neoplasms
Fluorescein-5-isothiocyanate
Population
Neoplasms
Aneuploidy
Diploidy
Color
Lymphocytes
DNA

Keywords

  • Breast carcinoma
  • Multiparameter flow cytometric analysis
  • Tumor infiltrating lymphocytes

ASJC Scopus subject areas

  • Pathology and Forensic Medicine
  • Cell Biology

Cite this

Flow cytometric enumeration and kinetic analysis of inflammatory cell populations in breast carcinomas. / Visscher, Daniel W; VanBree, Gretta; Ottosen, Susan; Wykes, Susan; Crissman, John D.

In: Analytical Cellular Pathology, Vol. 5, No. 6, 11.1993, p. 321-330.

Research output: Contribution to journalArticle

Visscher, Daniel W ; VanBree, Gretta ; Ottosen, Susan ; Wykes, Susan ; Crissman, John D. / Flow cytometric enumeration and kinetic analysis of inflammatory cell populations in breast carcinomas. In: Analytical Cellular Pathology. 1993 ; Vol. 5, No. 6. pp. 321-330.
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abstract = "Inflammatory cell populations were quantitated in 76 consecutive mechanically dissociated clinical breast carcinoma specimens using multiparameter, two-color (PI-cytokeratin/FITC, PI-LCA/FITC) flow cytometric analysis. The percent LCA-positive events varied from 1.3-62.5{\%} (mean = 11{\%}) and correlated with degree of histologic inflammatory cell infiltrate (mild-5.8{\%} LCA + events vs. marked-35.9{\%} LCA + events, P < 0.001), abnormal DNA content (diploid range - 4.6{\%} LCA + events vs. aneuploid - 13.3{\%} LCA + events, P = 0.003) and poor tumor differentiation (well-moderate - 6.5{\%} LCA + events vs. poor - 19.9{\%} LCA + events, P = 0.001). Synthesis phase fractions in LCA-positive populations were uniformly less than the corresponding cytokeratin (CK)-positive cells (mean LCA + SPF = 4.4{\%} vs. mean CK + SPF = 15.5{\%}) and varied from 3-11{\%}. Proliferation among inflammatory populations did not correlate statistically with the total percent of LCA or CK-positive events, nor with the SPF in epithelial populations. However, proliferative activity of inflammatory components was greater in tumors with predominately intratumoral, vs. peritumoral, inflammatory cell distribution (4.6{\%} vs. 3.3{\%}, P = 0.03) and in tumors with greater numbers of large, 'transformed' lymphocytes (few = 3.25{\%} vs. many = 6.5{\%} LCA + SPF, P = 0.001). We conclude multiparameter flow cytometric analysis of mechanically-dissociated breast tumors is representative of tumor infiltrating lymphoid populations in breast tumors and provides a potentially useful means of studying biologically relevant tumor-host interactions.",
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AB - Inflammatory cell populations were quantitated in 76 consecutive mechanically dissociated clinical breast carcinoma specimens using multiparameter, two-color (PI-cytokeratin/FITC, PI-LCA/FITC) flow cytometric analysis. The percent LCA-positive events varied from 1.3-62.5% (mean = 11%) and correlated with degree of histologic inflammatory cell infiltrate (mild-5.8% LCA + events vs. marked-35.9% LCA + events, P < 0.001), abnormal DNA content (diploid range - 4.6% LCA + events vs. aneuploid - 13.3% LCA + events, P = 0.003) and poor tumor differentiation (well-moderate - 6.5% LCA + events vs. poor - 19.9% LCA + events, P = 0.001). Synthesis phase fractions in LCA-positive populations were uniformly less than the corresponding cytokeratin (CK)-positive cells (mean LCA + SPF = 4.4% vs. mean CK + SPF = 15.5%) and varied from 3-11%. Proliferation among inflammatory populations did not correlate statistically with the total percent of LCA or CK-positive events, nor with the SPF in epithelial populations. However, proliferative activity of inflammatory components was greater in tumors with predominately intratumoral, vs. peritumoral, inflammatory cell distribution (4.6% vs. 3.3%, P = 0.03) and in tumors with greater numbers of large, 'transformed' lymphocytes (few = 3.25% vs. many = 6.5% LCA + SPF, P = 0.001). We conclude multiparameter flow cytometric analysis of mechanically-dissociated breast tumors is representative of tumor infiltrating lymphoid populations in breast tumors and provides a potentially useful means of studying biologically relevant tumor-host interactions.

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