Literature DB >> 23456762

External validation of a prognostic nomogram for overall survival in women with uterine leiomyosarcoma.

Alexia Iasonos1, Emily Z Keung, Oliver Zivanovic, Rosanna Mancari, Michele Peiretti, Marisa Nucci, Suzanne George, Nicoletta Colombo, Silvestro Carinelli, Martee L Hensley, Chandrajit P Raut.   

Abstract

BACKGROUND: There is no validated system to identify prognostically distinct cohorts of women with uterine leiomyosarcoma (ULMS). By using an independent, pooled, multi-institutional, international patient cohort, the authors validated a recently proposed ULMS nomogram.
METHODS: The ULMS nomogram incorporated 7 clinical characteristics (age, tumor size, tumor grade, cervical involvement, locoregional metastases, distant metastases, and mitotic index (per 10 high-power fields) to predict overall survival (OS) after primary surgery. Independent cohorts from 2 sarcoma centers were included. Eligible women, at minimum, underwent a hysterectomy for primary, locally advanced, or metastatic ULMS and received part of their care at 1 of the centers between 1994 and 2010.
RESULTS: In total, 187 women with ULMS were identified who met the above criteria described above (median age, 51 years; median tumor size, 9 cm; median mitotic index, 20 per 10 high-power fields). Tumors generally were high grade (88%), FIGO stage I or II (61%) without cervical involvement (93%) and without locoregional metastases (77%) or distant metastases (83%). The median OS and the 5-year OS rate were 4.5 years (95% confidence interval, 3.2-5.3 years) and 46%, respectively; and 65 women (35%) remained alive at last follow-up. The nomogram concordance index was 0.67(standard error, 0.02), which was as high as the concordance index from the initial cohort used for nomogram development. The concordance between actual OS and nomogram predictions suggests excellent calibration because predictions were within 1% of actual 5-year OS rates for patients with a predicted 5-year OS of less than 0.68.
CONCLUSIONS: The ULMS nomogram was externally validated using independent cohorts. These findings support the international use of the ULMS nomogram prognostic of OS in ULMS.
Copyright © 2013 American Cancer Society.

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Year:  2013        PMID: 23456762      PMCID: PMC4044863          DOI: 10.1002/cncr.27971

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  23 in total

1.  A nomogram to predict postresection 5-year overall survival for patients with uterine leiomyosarcoma.

Authors:  Oliver Zivanovic; Lindsay M Jacks; Alexia Iasonos; Mario M Leitao; Robert A Soslow; Emanuela Veras; Dennis S Chi; Nadeem R Abu-Rustum; Richard R Barakat; Murray F Brennan; Martee L Hensley
Journal:  Cancer       Date:  2011-07-12       Impact factor: 6.860

2.  External validation of a nomogram predicting overall survival of patients diagnosed with endometrial cancer.

Authors:  Stephan Polterauer; Qin Zhou; Christoph Grimm; Veronika Seebacher; Alexander Reinthaller; Gerda Hofstetter; Nicole Concin; Mario M Leitao; Richard R Barakat; Nadeem R Abu-Rustum; Alexia Iasonos
Journal:  Gynecol Oncol       Date:  2012-03-23       Impact factor: 5.482

3.  Postoperative nomogram for 12-year sarcoma-specific death.

Authors:  Michael W Kattan; Denis H Y Leung; Murray F Brennan
Journal:  J Clin Oncol       Date:  2002-02-01       Impact factor: 44.544

4.  Nomogram for predicting 5-year disease-specific mortality after primary surgery for epithelial ovarian cancer.

Authors:  Joyce N Barlin; Changhong Yu; Emily K Hill; Oliver Zivanovic; Valentin Kolev; Douglas A Levine; Yukio Sonoda; Nadeem R Abu-Rustum; Jae Huh; Richard R Barakat; Michael W Kattan; Dennis S Chi
Journal:  Gynecol Oncol       Date:  2011-12-09       Impact factor: 5.482

5.  Nomograms are superior to staging and risk grouping systems for identifying high-risk patients: preoperative application in prostate cancer.

Authors:  Michael W Kattan
Journal:  Curr Opin Urol       Date:  2003-03       Impact factor: 2.309

6.  A randomized clinical trial of adjuvant adriamycin in uterine sarcomas: a Gynecologic Oncology Group Study.

Authors:  G A Omura; J A Blessing; F Major; S Lifshitz; C E Ehrlich; C Mangan; J Beecham; R Park; S Silverberg
Journal:  J Clin Oncol       Date:  1985-09       Impact factor: 44.544

7.  Treatment of uterine sarcomas.

Authors:  G Echt; J Jepson; J Steel; B Langholz; G Luxton; W Hernandez; M Astrahan; Z Petrovich
Journal:  Cancer       Date:  1990-07-01       Impact factor: 6.860

8.  Problematic uterine smooth muscle neoplasms. A clinicopathologic study of 213 cases.

Authors:  S W Bell; R L Kempson; M R Hendrickson
Journal:  Am J Surg Pathol       Date:  1994-06       Impact factor: 6.394

9.  Adjuvant therapy for stage I uterine sarcoma.

Authors:  P G Rose; J G Boutselis; L Sachs
Journal:  Am J Obstet Gynecol       Date:  1987-03       Impact factor: 8.661

10.  The epidemiology of sarcomas of the uterus.

Authors:  B L Harlow; N S Weiss; S Lofton
Journal:  J Natl Cancer Inst       Date:  1986-03       Impact factor: 13.506

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  14 in total

1.  A phase 2 study of alisertib (MLN8237) in recurrent or persistent uterine leiomyosarcoma: An NRG Oncology/Gynecologic Oncology Group study 0231D.

Authors:  David M Hyman; Michael W Sill; Heather A Lankes; Richard Piekarz; Mark S Shahin; Mildred R Ridgway; Floor Backes; Meaghen E Tenney; Cara A Mathews; James S Hoffman; Carol Aghajanian; Martee L Hensley
Journal:  Gynecol Oncol       Date:  2016-10-27       Impact factor: 5.482

Review 2.  Gynecologic Cancer InterGroup (GCIG) consensus review: uterine and ovarian leiomyosarcomas.

Authors:  Martee L Hensley; Brigitte A Barrette; Klaus Baumann; David Gaffney; Anne L Hamilton; Jae-Weon Kim; Johanna U Maenpaa; Patricia Pautier; Nadeem Ahmad Siddiqui; Anneke M Westermann; Isabelle Ray-Coquard
Journal:  Int J Gynecol Cancer       Date:  2014-11       Impact factor: 3.437

Review 3.  Practical issues in uterine pathology from banal to bewildering: the remarkable spectrum of smooth muscle neoplasia.

Authors:  Esther Oliva
Journal:  Mod Pathol       Date:  2016-01       Impact factor: 7.842

4.  Genome profiling is an efficient tool to avoid the STUMP classification of uterine smooth muscle lesions: a comprehensive array-genomic hybridization analysis of 77 tumors.

Authors:  Sabrina Croce; Agnès Ducoulombier; Agnès Ribeiro; Tom Lesluyes; Jean-Christophe Noel; Frédéric Amant; Louis Guillou; Eberhard Stoeckle; Mojgan Devouassoux-Shisheboran; Nicolas Penel; Anne Floquet; Laurent Arnould; Frédéric Guyon; Florence Mishellany; Camille Chakiba; Tine Cuppens; Michal Zikan; Agnès Leroux; Eric Frouin; Isabelle Farre; Catherine Genestie; Isabelle Valo; Gaëtan MacGrogan; Frédéric Chibon
Journal:  Mod Pathol       Date:  2018-01-12       Impact factor: 7.842

5.  A novel morphology-based risk stratification model for stage I uterine leiomyosarcoma: an analysis of 203 cases.

Authors:  David B Chapel; Aarti Sharma; Ricardo R Lastra; Livia Maccio; Emma Bragantini; Gian Franco Zannoni; Suzanne George; Bradley J Quade; Carlos Parra-Herran; Marisa R Nucci
Journal:  Mod Pathol       Date:  2022-02-04       Impact factor: 7.842

6.  Sarcoma of the Uterus. Guideline of the DGGG (S2k-Level, AWMF Registry No. 015/074, August 2015).

Authors:  D Denschlag; F C Thiel; S Ackermann; P Harter; I Juhasz-Boess; P Mallmann; H-G Strauss; U Ulrich; L-C Horn; D Schmidt; D Vordermark; T Vogl; P Reichardt; P Gaß; M Gebhardt; M W Beckmann
Journal:  Geburtshilfe Frauenheilkd       Date:  2015-10       Impact factor: 2.915

7.  Sarcoma of the Uterus. Guideline of the DGGG and OEGGG (S2k Level, AWMF Register Number 015/074, February 2019).

Authors:  Dominik Denschlag; Sven Ackermann; Marco Johannes Battista; Wolfgang Cremer; Gerlinde Egerer; Markus Follmann; Heidemarie Haas; Philipp Harter; Simone Hettmer; Lars-Christian Horn; Ingolf Juhasz-Boess; Karin Kast; Günter Köhler; Thomas Kröncke; Katja Lindel; Peter Mallmann; Regine Meyer-Steinacker; Alexander Mustea; Edgar Petru; Peter Reichardt; Dietmar Schmidt; Hans-Georg Strauss; Clemens Tempfer; Falk Thiel; Uwe Ulrich; Thomas Vogl; Dirk Vordermark; Paul Gass; Matthias W Beckmann
Journal:  Geburtshilfe Frauenheilkd       Date:  2019-10-22       Impact factor: 2.915

Review 8.  Management Strategies in Advanced Uterine Leiomyosarcoma: Focus on Trabectedin.

Authors:  Frédéric Amant; Domenica Lorusso; Alexander Mustea; Florence Duffaud; Patricia Pautier
Journal:  Sarcoma       Date:  2015-05-18

9.  Metastatic pattern of uterine leiomyosarcoma: retrospective analysis of the predictors and outcome in 113 patients.

Authors:  Sree Harsha Tirumani; Pamela Deaver; Atul B Shinagare; Harika Tirumani; Jason L Hornick; Suzanne George; Nikhil H Ramaiya
Journal:  J Gynecol Oncol       Date:  2014-08-05       Impact factor: 4.401

10.  Development of a Multi-Institutional Prediction Model for Three-Year Survival Status in Patients with Uterine Leiomyosarcoma (AGOG11-022/QCGC1302 Study).

Authors:  Ka-Yu Tse; Richard Wing-Cheuk Wong; Angel Chao; Shir-Hwa Ueng; Lan-Yan Yang; Margaret Cummings; Deborah Smith; Chiung-Ru Lai; Hei-Yu Lau; Ming-Shyen Yen; Annie Nga-Yin Cheung; Charlotte Ka-Lun Leung; Kit-Sheung Chan; Alice Ngot-Htain Chan; Wai-Hon Li; Carmen Ka-Man Choi; Wai-Mei Pong; Hoi-Fong Hui; Judy Ying-Wah Yuk; Hung Yao; Nancy Wah-Fun Yuen; Andreas Obermair; Chyong-Huey Lai; Philip Pun-Ching Ip; Hextan Yuen-Sheung Ngan
Journal:  Cancers (Basel)       Date:  2021-05-14       Impact factor: 6.639

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