Predicting distant dissemination in patients with early breast cancer

被引:19
|
作者
Arriagada, Rodrigo [1 ,2 ]
Rutqvist, Lars-Erik [1 ]
Johansson, Hemming [3 ]
Kramar, Andrew [4 ]
Rotstein, Sam [5 ]
机构
[1] Karolinska Inst, SE-17176 Stockholm, Sweden
[2] Univ Paris S, Fac Med, Paris, France
[3] Karolinska Univ Hosp, Dept Oncol, Stockholm, Sweden
[4] Ctr Val Aurelle, Dept Biostat, Montpellier, France
[5] Danderyd Hosp, Dept Oncol, S-18288 Danderyd, Sweden
关键词
D O I
10.1080/02841860701829661
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background. Prediction of distant metastases is of paramount importance in the knowledge and management of breast cancer patients. The objective of this study was to assess conventional prognostic factors in a large database of patients with early breast cancer, including those with small tumors diagnosed through regional screening, to determine the risk of distant dissemination. Methods. The study included 4 797 patients of the Stockholm database who did not receive systemic adjuvant treatments. The main endpoint was metastasis free-interval. Individual risks of distant metastasis were estimated using the regression coefficients of the significant prognostic factors in Cox multivariate analyses. For each level of metastatic risk the pattern of failure was analyzed by a model assuming competing risks. Results. The three independent significant prognostic factors were histologic tumor size, number of involved axillary lymph nodes and progesterone receptor level. However, the latter factor added limited additional information of borderline clinical significance. Thus, subsequent estimations were done with a prognostic score taking into account only the former two most performant factors in the whole population. The risk of distant metastasis of observed values of tumor size categories fitted with published results of a series containing significantly larger tumors. A large variation of tumor size predicts 10-year distant metastasis risk ranging from below 10% up to 90%. Tumors of 10 mm or less had a 10-year metastatic risk of less than 10%. Conclusions. The results of this study are consistent with a linear effect of tumor size, within the range of data, on 10-year distant dissemination probabilities. Further refinement on prognostic value is needed for tumors of 15 mm or less.
引用
收藏
页码:1113 / 1121
页数:9
相关论文
共 50 条
  • [1] PREDICTING DISTANT METASTASES IN OPERABLE BREAST-CANCER PATIENTS
    HACENE, K
    LEDOUSSAL, V
    ROUESSE, J
    BRUNET, M
    [J]. CANCER, 1990, 66 (09) : 2034 - 2043
  • [2] A new model for the dissemination of regional and distant metastases: implications for the sequencing of treatment of early breast cancer
    Thames, HD
    [J]. PROGRESS IN RADIO-ONCOLOGY VI, 1998, : 177 - 185
  • [3] Determinants of early distant metastatic disease in elderly patients with breast cancer
    Chagpar, Anees B.
    McMasters, Kelly M.
    Martin, Robert C.
    Thoene, Cynthia
    Nurko, Jacob Y.
    Edwards, Michael J.
    [J]. AMERICAN JOURNAL OF SURGERY, 2006, 192 (03): : 317 - 321
  • [4] Patients with early-stage breast cancer still experience distant metastasis: The incidence and patterns of metastasis in early breast cancer patients
    Jung, Seung Pil
    Kim, Hong Kyu
    Kim, Woo Yung
    Woo, Sang Uk
    Son, Gil Soo
    Bae, Jeoung Won
    [J]. ANNALS OF SURGICAL ONCOLOGY, 2017, 24 : 290 - 291
  • [5] Impact of tumour size on axillary involvement and distant dissemination in breast cancer
    Koscielny, S.
    Arriagada, R.
    Adolfsson, J.
    Fornander, T.
    Bergh, J.
    [J]. BRITISH JOURNAL OF CANCER, 2009, 101 (06) : 902 - 907
  • [6] Impact of tumour size on axillary involvement and distant dissemination in breast cancer
    S Koscielny
    R Arriagada
    J Adolfsson
    T Fornander
    J Bergh
    [J]. British Journal of Cancer, 2009, 101 : 902 - 907
  • [7] A Nomogram Predicting Early Cervical Cancer Distant Recurrence
    Pachigolla, S. L.
    Massad, L. S.
    Thaker, P.
    Mutch, D.
    Powell, M. A.
    Khabele, D.
    McCourt, C.
    Kuroki, L.
    Hagemann, A.
    Fuh, K.
    Dehdashti, F.
    Siegel, B. A.
    Schwarz, J. K.
    Markovina, S.
    Grigsby, P. W.
    Lin, A. J.
    [J]. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2021, 111 (03): : E619 - E620
  • [8] Early dissemination seeds metastasis in breast cancer
    Hedayatollah Hosseini
    Milan M. S. Obradović
    Martin Hoffmann
    Kathryn L. Harper
    Maria Soledad Sosa
    Melanie Werner-Klein
    Lahiri Kanth Nanduri
    Christian Werno
    Carolin Ehrl
    Matthias Maneck
    Nina Patwary
    Gundula Haunschild
    Miodrag Gužvić
    Christian Reimelt
    Michael Grauvogl
    Norbert Eichner
    Florian Weber
    Andreas D. Hartkopf
    Florin-Andrei Taran
    Sara Y. Brucker
    Tanja Fehm
    Brigitte Rack
    Stefan Buchholz
    Rainer Spang
    Gunter Meister
    Julio A. Aguirre-Ghiso
    Christoph A. Klein
    [J]. Nature, 2016, 540 : 552 - 558
  • [9] Predicting local and distant metastasis for breast cancer patients using the Bayesian Neural Network
    Choong, PL
    deSilva, CJS
    Attikiouzel, Y
    [J]. DSP 97: 1997 13TH INTERNATIONAL CONFERENCE ON DIGITAL SIGNAL PROCESSING PROCEEDINGS, VOLS 1 AND 2: SPECIAL SESSIONS, 1997, : 83 - 88
  • [10] Early dissemination seeds metastasis in breast cancer
    Hosseini, Hedayatollah
    Obradovic, Milan M. S.
    Hoffmann, Martin
    Harper, Kathryn L.
    Sosa, Maria Soledad
    Werner-Klein, Melanie
    Nanduri, Lahiri Kanth
    Werno, Christian
    Ehrl, Carolin
    Maneck, Matthias
    Patwary, Nina
    Haunschild, Gundula
    Guzvic, Miodrag
    Reimelt, Christian
    Grauvogl, Michael
    Eichner, Norbert
    Weber, Florian
    Hartkopf, Andreas D.
    Taran, Florin-Andrei
    Rucker, Sara Y. B.
    Fehm, Tanja
    Rack, Brigitte
    Buchholz, Stefan
    Spang, Rainer
    Eister, Gunter M.
    Aguirre-Ghiso, Julio A.
    Klein, Christoph A.
    [J]. NATURE, 2016, 540 (7634) : 552 - +