Endometrial cancer

Can nodal status be predicted with curettage?

Andrea Mariani, Thomas J. Sebo, Jerry A. Katzmann, Patrick C. Roche, Gary Keeney, Timothy G. Lesnick, Karl C. Podratz

Research output: Contribution to journalArticle

26 Citations (Scopus)

Abstract

Objective. To determine whether histologic or molecular markers assessed in pretreatment curettage specimens predict nodal metastasis in endometrial cancer. Methods. Phenotypic and molecular variables (ploidy, proliferating cell nuclear antigen, MIB-1, p53, HER-2/neu, and bcl-2) were analyzed in preoperative specimens from 82 patients with endometrial cancer who had lymph nodes dissected. These 82 patients had been selected from a total population of 283 patients with endometrial cancer, using a case-cohort design. Weighted logistic regressions were then used to determine significant predictors of positive lymph nodes, and results were estimated for the total population of 283 patients. Results. Of the overall population, 12% of patients were estimated to have positive lymph nodes. Histologic subtype, p53, and bcl-2 each were significantly correlated (P < 0.05) with lymph node status. With application of stepwise logistic regression, p53 was the only independent predictor of lymph node status. In addition, a statistical model predictive of positive lymph nodes was generated which incorporated the risk factors p53, bcl-2, and histologic subtype. Conclusion. In pretreatment curettage specimens, the presence of unfavorable levels of p53 or bcl-2 or of nonendometrioid histologic features, or combinations of those, significantly predicted lymph node status, thus facilitating the preoperative identification of patients at risk of lymph node metastases.

Original languageEnglish (US)
Pages (from-to)594-600
Number of pages7
JournalGynecologic Oncology
Volume96
Issue number3
DOIs
StatePublished - Mar 2005

Fingerprint

Curettage
Endometrial Neoplasms
Lymph Nodes
Logistic Models
Population
Neoplasm Metastasis
Ploidies
Proliferating Cell Nuclear Antigen
Statistical Models

Keywords

  • bcl-2
  • Dilatation and curettage
  • Endometrial cancer
  • Lymphadenectomy
  • Lymphatic metastases
  • Nonendometrioid histology
  • p53

ASJC Scopus subject areas

  • Obstetrics and Gynecology
  • Oncology

Cite this

Mariani, A., Sebo, T. J., Katzmann, J. A., Roche, P. C., Keeney, G., Lesnick, T. G., & Podratz, K. C. (2005). Endometrial cancer: Can nodal status be predicted with curettage? Gynecologic Oncology, 96(3), 594-600. https://doi.org/10.1016/j.ygyno.2004.11.030

Endometrial cancer : Can nodal status be predicted with curettage? / Mariani, Andrea; Sebo, Thomas J.; Katzmann, Jerry A.; Roche, Patrick C.; Keeney, Gary; Lesnick, Timothy G.; Podratz, Karl C.

In: Gynecologic Oncology, Vol. 96, No. 3, 03.2005, p. 594-600.

Research output: Contribution to journalArticle

Mariani, A, Sebo, TJ, Katzmann, JA, Roche, PC, Keeney, G, Lesnick, TG & Podratz, KC 2005, 'Endometrial cancer: Can nodal status be predicted with curettage?', Gynecologic Oncology, vol. 96, no. 3, pp. 594-600. https://doi.org/10.1016/j.ygyno.2004.11.030
Mariani, Andrea ; Sebo, Thomas J. ; Katzmann, Jerry A. ; Roche, Patrick C. ; Keeney, Gary ; Lesnick, Timothy G. ; Podratz, Karl C. / Endometrial cancer : Can nodal status be predicted with curettage?. In: Gynecologic Oncology. 2005 ; Vol. 96, No. 3. pp. 594-600.
@article{c67c8119df8e48f2bf09bb9d6f998ded,
title = "Endometrial cancer: Can nodal status be predicted with curettage?",
abstract = "Objective. To determine whether histologic or molecular markers assessed in pretreatment curettage specimens predict nodal metastasis in endometrial cancer. Methods. Phenotypic and molecular variables (ploidy, proliferating cell nuclear antigen, MIB-1, p53, HER-2/neu, and bcl-2) were analyzed in preoperative specimens from 82 patients with endometrial cancer who had lymph nodes dissected. These 82 patients had been selected from a total population of 283 patients with endometrial cancer, using a case-cohort design. Weighted logistic regressions were then used to determine significant predictors of positive lymph nodes, and results were estimated for the total population of 283 patients. Results. Of the overall population, 12{\%} of patients were estimated to have positive lymph nodes. Histologic subtype, p53, and bcl-2 each were significantly correlated (P < 0.05) with lymph node status. With application of stepwise logistic regression, p53 was the only independent predictor of lymph node status. In addition, a statistical model predictive of positive lymph nodes was generated which incorporated the risk factors p53, bcl-2, and histologic subtype. Conclusion. In pretreatment curettage specimens, the presence of unfavorable levels of p53 or bcl-2 or of nonendometrioid histologic features, or combinations of those, significantly predicted lymph node status, thus facilitating the preoperative identification of patients at risk of lymph node metastases.",
keywords = "bcl-2, Dilatation and curettage, Endometrial cancer, Lymphadenectomy, Lymphatic metastases, Nonendometrioid histology, p53",
author = "Andrea Mariani and Sebo, {Thomas J.} and Katzmann, {Jerry A.} and Roche, {Patrick C.} and Gary Keeney and Lesnick, {Timothy G.} and Podratz, {Karl C.}",
year = "2005",
month = "3",
doi = "10.1016/j.ygyno.2004.11.030",
language = "English (US)",
volume = "96",
pages = "594--600",
journal = "Gynecologic Oncology",
issn = "0090-8258",
publisher = "Academic Press Inc.",
number = "3",

}

TY - JOUR

T1 - Endometrial cancer

T2 - Can nodal status be predicted with curettage?

AU - Mariani, Andrea

AU - Sebo, Thomas J.

AU - Katzmann, Jerry A.

AU - Roche, Patrick C.

AU - Keeney, Gary

AU - Lesnick, Timothy G.

AU - Podratz, Karl C.

PY - 2005/3

Y1 - 2005/3

N2 - Objective. To determine whether histologic or molecular markers assessed in pretreatment curettage specimens predict nodal metastasis in endometrial cancer. Methods. Phenotypic and molecular variables (ploidy, proliferating cell nuclear antigen, MIB-1, p53, HER-2/neu, and bcl-2) were analyzed in preoperative specimens from 82 patients with endometrial cancer who had lymph nodes dissected. These 82 patients had been selected from a total population of 283 patients with endometrial cancer, using a case-cohort design. Weighted logistic regressions were then used to determine significant predictors of positive lymph nodes, and results were estimated for the total population of 283 patients. Results. Of the overall population, 12% of patients were estimated to have positive lymph nodes. Histologic subtype, p53, and bcl-2 each were significantly correlated (P < 0.05) with lymph node status. With application of stepwise logistic regression, p53 was the only independent predictor of lymph node status. In addition, a statistical model predictive of positive lymph nodes was generated which incorporated the risk factors p53, bcl-2, and histologic subtype. Conclusion. In pretreatment curettage specimens, the presence of unfavorable levels of p53 or bcl-2 or of nonendometrioid histologic features, or combinations of those, significantly predicted lymph node status, thus facilitating the preoperative identification of patients at risk of lymph node metastases.

AB - Objective. To determine whether histologic or molecular markers assessed in pretreatment curettage specimens predict nodal metastasis in endometrial cancer. Methods. Phenotypic and molecular variables (ploidy, proliferating cell nuclear antigen, MIB-1, p53, HER-2/neu, and bcl-2) were analyzed in preoperative specimens from 82 patients with endometrial cancer who had lymph nodes dissected. These 82 patients had been selected from a total population of 283 patients with endometrial cancer, using a case-cohort design. Weighted logistic regressions were then used to determine significant predictors of positive lymph nodes, and results were estimated for the total population of 283 patients. Results. Of the overall population, 12% of patients were estimated to have positive lymph nodes. Histologic subtype, p53, and bcl-2 each were significantly correlated (P < 0.05) with lymph node status. With application of stepwise logistic regression, p53 was the only independent predictor of lymph node status. In addition, a statistical model predictive of positive lymph nodes was generated which incorporated the risk factors p53, bcl-2, and histologic subtype. Conclusion. In pretreatment curettage specimens, the presence of unfavorable levels of p53 or bcl-2 or of nonendometrioid histologic features, or combinations of those, significantly predicted lymph node status, thus facilitating the preoperative identification of patients at risk of lymph node metastases.

KW - bcl-2

KW - Dilatation and curettage

KW - Endometrial cancer

KW - Lymphadenectomy

KW - Lymphatic metastases

KW - Nonendometrioid histology

KW - p53

UR - http://www.scopus.com/inward/record.url?scp=13844280397&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=13844280397&partnerID=8YFLogxK

U2 - 10.1016/j.ygyno.2004.11.030

DO - 10.1016/j.ygyno.2004.11.030

M3 - Article

VL - 96

SP - 594

EP - 600

JO - Gynecologic Oncology

JF - Gynecologic Oncology

SN - 0090-8258

IS - 3

ER -