|
|||||
|
|
||||||
© 2003 American Society for Clinical Oncology Risk Factors for Locoregional Recurrence Among Breast Cancer Patients: Results From International Breast Cancer Study Group Trials I Through VIIFrom the University of Göteborg, Sahlgrenska University Hospital, Göteborg, Sweden; International Breast Cancer Study Group Statistical Center; Dana-Farber Cancer Institute and Frontier Science and Technology Research Foundation; and Harvard School of Public Health, Boston, MA; European Institute of Oncology, Milan, Italy; Oncology Institute of Southern Switzerland, Bellinzona; International Breast Cancer Study Group Coordinating Center and Inselspital, Bern; and Kantonsspital, St Gallen, Switzerland; Department of Surgery, SU/Moelndals Hospital, Moelndal, Sweden; Institute of Oncology, Ljubljana, Slovenia; Groote Shuur Hospital and University of Cape Town, South Africa; Australian New Zealand Breast Cancer Trials Group, Newcastle; The Cancer Council Australia and University of Sydney, Sydney; and Department of Surgery, Royal Melbourne Hospital, Victoria, Australia. Address reprint requests to Arne Wallgren, MD, Department of Oncology, University of Göteborg, Sahlgrenska University Hospital, S 413 45 Göteborg, Sweden; email: arne.wallgren{at}oncology.gu.se.
Purpose: To explore prognostic factors for locoregional failures (LRF) among women treated for invasive breast cancer within clinical trials of adjuvant therapies. Patients and Methods: The study population consisted of 5,352 women who were treated with a modified radical mastectomy and enrolled in one of seven International Breast Cancer Study Group randomized trials. A total of 1,275 women with node-negative disease received either no adjuvant therapy or a single cycle of perioperative chemotherapy, and 4,077 women with node-positive disease received adjuvant chemotherapy of at least 3 months duration and/or tamoxifen. Median follow-up is 12 to 15.5 years. Results: In women with node-negative disease, factors associated with increased risk of LRF were vascular invasion (VI) and tumor size greater than 2 cm for premenopausal and VI for postmenopausal patients. Of the 1,275 patients, 345 (27%) met criteria for the highest risk groups, and the 10-year cumulative incidences of LRF with or without distant metastases were 16% for premenopausal and 19% for postmenopausal women. For the node-positive cohort, number of nodes and tumor grade were factors for both menopausal groups, with additional prediction provided by VI for premenopausal and tumor size for postmenopausal patients. Of the 4,077 patients, 815 (20%) met criteria for the highest risk groups, and 10-year cumulative incidences were 35% for premenopausal and 34% for postmenopausal women. Conclusion: LRFs are a significant problem after mastectomy alone even for some patients with node-negative breast cancer, as well as after mastectomy and adjuvant treatment for some subgroups of patients with node-positive disease. In addition to number of positive lymph nodes, predictors of LRF include tumor-related factors, such as vascular invasion, higher grade, and larger size.
BEFORE THE ERA of adjuvant systemic therapies, extensive local and regional treatment, often including radiotherapy, was used frequently in the treatment of breast cancer. The addition of radiotherapy to surgery reduced the number of local and regional recurrences. Overviews of all radiotherapy trials indicated reduced breast cancer mortality but failed to show a significant overall survival benefit.1 Adjuvant systemic treatment of breast cancer improves the relapse-free survival rate by reduction of local, regional, and distant relapses and moderately improves survival.24 Two randomized clinical trials from Denmark and Canada on radiotherapy together with adjuvant chemotherapy in mainly node-positive premenopausal breast cancer patients5,6 and one study from Denmark on radiotherapy with tamoxifen in postmenopausal patients7 found improved survival in the radiotherapy arms. There has been concern that the quality of the axillary surgery in the Danish study, in which a median of only seven removed lymph nodes were investigated, as well as less optimal adjuvant chemotherapy8,9 may have contributed to a high risk of cancer remaining in the locoregional area. Recent consensus statements have concluded that locoregional radiotherapy might be considered to improve the relapse-free and possibly overall survival for some patients who are at high risk for locoregional relapse of the disease despite adjuvant systemic treatment.1014 Because radiotherapy is resource consuming and may be followed by severe late effects, it should be reserved for patients who are at high risk. Thus there is a need to explore the incidence of locoregional relapses after controlled surgery and in connection with systemic treatment. In the International Breast Cancer Study Group (IBCSG, formerly the Ludwig group), a minimum number of removed lymph nodes were required before patients could be included in the trials. A previous publication from the IBCSG showed that more effective systemic treatments reduced the risk of local and regional recurrences compared with the less effective treatments for patients with node-positive disease.15 The aim of the present study was to expand on these results by defining risk groups for locoregional recurrence (with or without simultaneous distant failure) in patients who were treated with mastectomy and enrolled in one of seven IBCSG trials.
Designs of the Studies The analysis was based on information collected on patients selected from IBCSG trials I through VII and fulfilling the criteria described below. Detailed definitions for menopausal status, patient characteristics, and eligibility have been described elsewhere.1624 With the exception of trial V, in which patients were included before the pathologic work-up was completed, patients were only included if the tumors were stage pathologic (p) T1, pT2, or pT3 (tumor-node-metastasis staging system), margins of resection were free of tumor cells, and there was no involvement of skin or fascia. At least eight lymph nodes from the axilla had to be examined. The characteristics of the patients of the individual trials follow.
In trials I and II, pre- and perimenopausal women with axillary lymph nodepositive disease were randomly assigned between July 1978 and August 1981. All patients in trial I were treated with 12 28-day courses of classic cyclophosphamide, methotrexate, and fluorouracil (CMF; cyclophosphamide 100 mg/m2 orally days 1 to 14, methotrexate 40 mg/m2 administered intravenously [IV] days 1 and 8, and fluorouracil 600 mg/m2 IV days 1 and 8, repeated every 28 days), and all patients in trial II were treated with 12 28-day courses of CMF plus low-dose prednisone (7.5 mg/m2 orally [PO] daily) for 1 year (CMFp). The addition of low-dose prednisone to CMF was studied in trial I (patients with one to three lymph node metastases), and the addition of oophorectomy to CMFp was studied in trial II (patients with In trials III and IV, postmenopausal patients with axillary lymph nodepositive disease were randomly assigned between July 1978 and August 1981. Tamoxifen 20 mg PO daily plus low-dose prednisone for 1 year was compared with observation alone (trial IV, patients older than 65 years), or a regimen of 12 28-day courses of CMF plus low-dose prednisone and tamoxifen for 1 year was compared with tamoxifen plus low-dose prednisone for 1 year and with observation alone (trial III, patients 65 years of age or younger). All patients received mastectomy and no radiotherapy. Trial V included pre- or postmenopausal women who between November 1981 and December 1985 were randomly assigned at the time of surgery to one course of perioperative (commencing within 36 hours of surgery) IV CMF (PeCMF; cyclophosphamide 400 mg/m2 IV days 1 and 8, methotrexate 40 mg/m2 IV days 1 and 8, fluorouracil 600 mg/m2 IV days 1 and 8, and leucovorin 15 mg IV 24 hours after day 1 and 15 mg PO 24 hours after day 8) or no such treatment. After pathologic work-up, patients with no involvement of axillary lymph nodes received no further treatment. Patients with axillary lymph node involvement received either six 28-day courses of classic CMFp or no further chemotherapy. Tamoxifen for 6 months was given with the CMFp for postmenopausal women. All patients received mastectomy and no radiotherapy. Trial VI was open for pre- and perimenopausal patients with lymph nodepositive breast cancer between July 1986 and April 1993. The patients received three or six courses of classic CMF initially and an additional zero or three courses of the same chemotherapy 3, 6, and 9 months after the initial courses (late reintroduction). Trial VII included postmenopausal patients between July 1986 and April 1993. All patients received tamoxifen for 5 years. They were randomly assigned to receive either three courses of classic CMF initially or no initial treatment. Irrespective of the first treatment, patients were also randomly assigned to receive no further treatment or three courses of classical CMF at months 9, 12, and 15 (delayed chemotherapy). No radiotherapy was given after mastectomy in trials VI and VII.
Patient Selection For trials I through V, a central pathology review process was conducted. The central review included the histologic evaluation of biopsy and mastectomy specimens for invasion of any vessel space, lymphatic or blood vessel, around the primary tumor.25,26 Vessel invasion (VI) was defined as the presence of tumor cell emboli within a vessel space, which were identified by associated fibrin clot and/or an endothelial cell lining. The study protocol required that at least two sections of primary tumor be taken at right angles to one another to include the interface of the growing tumor border and the adjacent breast tissue. Generally, approximately 6 cm2 of breast tissue immediately adjacent to the primary tumor but within 1 cm of the tumor border was available for the assessment of peritumoral vessel invasion. For trials VI and VII, no central pathology review process was in place, and the information about vessel invasion was provided by the local pathology work-up from the participating centers.
Statistical Analysis
The following variables and categories were defined for the analysis: nodal status (zero, one to three, or four or more involved nodes), tumor size ( Because we focused on patient- and disease-related features, we did not include type of adjuvant systemic therapy as a variable to define risk factors. All women with node-positive disease received at least 3 months of chemotherapy and/or at least 1 year of tamoxifen per randomized assignment; 92% received at least 6 months of chemotherapy and/or 5 years of tamoxifen. For women with node-negative disease, one third received no adjuvant therapy and two thirds received a single cycle of PeCMF according to randomized assignment in trial V. Secondary analyses of locoregional recurrence according to treatment were conducted for the node-negative cohort. Locoregional recurrence was defined as a first relapse on the chest wall, the ipsilateral axilla, ipsilateral supraclavicular or infraclavicular fossa, or the ipsilateral internal mammary region. Categories of sites of failure of interest (as site of first event) were as follows: isolated locoregional (locoregional failure [LRF] without simultaneous distant relapse); locoregional with or without simultaneous distant (LRF ± distant failure [DF]); distant alone (DF). When analyzing each of the sites of failure, we treated the other possible first events as competing events, thus also considering LRF + DF events to obtain mutually exclusive events. LRF ± DF events were used to define risk groups separately for each of the four cohorts of patients, as follows. A regression model for the cumulative incidence function27 was used. To perform model selection, one variable at a time was first introduced in the model. If the inclusion of that variable added one parameter to the model, then the need for that variable in the model was judged on the basis of the P value of the parameter. When more than one indicator was needed to code the variable, then a Wald-type test was used to judge the significance of that covariate. After the variables that should appear in the model were individually selected, these were all introduced together. Likelihood ratio tests28 were then used to determine which of the variables should be kept in the model and which could be dropped. Variables with a P value greater than .05 were dropped. Reintroduction of previously discarded variables was tested at each step at the .10 level. Model selection was performed separately for each of the four groups. A risk index (RI) was then constructed on the basis of each selected regression model. The RI is defined as b'Z, where b is the estimated vector of the regression coefficients, and Z is the vector of covariates in the model. The RI was computed and its observed distribution was used to find three cutoff points that would divide the patients into four groups of approximately the same size (25% of the total), with the groups having increasing risk. We labeled the four groups as having low, medium, high, and very high risk. These labels reflect the relative risk of failure within a given patient cohort and not the absolute level of risk. When the number of significant factors did not allow the definition of four risk groups, we proceeded with a smaller number of groups. To take advantage of the information contained in the data arising from patients who had one or more covariates missing, all combinations of covariate values (including missing values) were used to construct the risk groups. The combinations of the values of the covariates to which each risk category corresponded were then identified so that a map from risk factor combinations to risk groups was constructed. Finally, we estimated the cumulative incidence function (CIF)29,30 at 10 years for each of the sites of failures for the four risk groups and calculated estimates of 10-year overall survival for each risk group. We also report the estimated CIF curves for LRF ± DF events for the risk groups identified within each of the four patient populations.
Table 1
Premenopausal Patients With Node-Negative Disease The regression model showed that tumor size (P = .027) and VI (P = .023) were prognostic factors for LRF ± DF. Either the presence of VI or a large tumor contributed similarly to the increase in risk of failure, and a medium-risk/high-risk group was defined accordingly. The highest risk corresponded to larger tumors with VI (Table 3
The 10-year CIF estimates for LRF ± DF according to randomized treatment were 12% (SE = 2%) for the PeCMF group (n = 457) and 18% (SE = 3%) for the no adjuvant therapy group (n = 235; P = .035).
Postmenopausal Patients With Node-Negative Disease
The 10-year CIF estimates for LRF ± DF according to randomized treatment were 10% (SE = 2%) for the PeCMF group (n = 391) and 14% (SE = 3%) for the no adjuvant therapy group (n = 192; P = .18).
Premenopausal Patients With Node-Positive Disease
Postmenopausal Patients With Node-Positive Disease The analysis for this patient population revealed the presence of three significant prognostic factors: tumor size (P = .036), the number of positive nodes (P < .001), and tumor grade (P = .011). A large number of positive lymph nodes, a high tumor grade, and a large tumor size all contributed to a higher risk for LRF ± DF (Table 3
10-Year LRF ± DF Estimates Table 5 2 cm, > 2 cm to 5 cm, or > 5 cm), VI (yes or no), and grade (1, 2, or 3). These are presented to provide comparison to data presented from other series on this subject.31,32
Our study was based on more than 4,000 breast cancer patients with axillary lymph node involvement, all of whom were treated with adjuvant cytotoxic and/or endocrine systemic therapy after a mastectomy without postoperative radiotherapy in seven successive clinical trials of the IBCSG. In addition, we included more than 1,200 patients with axillary lymph nodenegative disease who received either surgery alone or one course of adjuvant cytotoxic therapy to identify features that predict an increased risk of local and regional relapse even in a population considered, on average, to be at low risk for such breast cancerrelated events. Therefore, we were able to identify risk factors for LRF for four clinically oriented patient cohorts on the basis of menopausal status and nodal involvement. We used CIF regression analysis to define risk groups for LRF within each of the four cohorts. This approach is similar in spirit to the determination of risk groups using the Cox model, as it also uses regression models (in our case for the cumulative incidence function) to define a risk index, which is then used to identify groups at increasing risk of LRF ± DF events. It should be noted that for the four different data sets, the definitions of the risk groups are based on different models, and thus such risk groups cannot be properly compared across patient cohorts. For such a comparison, we recommend examination of the CIF estimates.
In patients without axillary lymph node involvement, VI (pre- or postmenopausal patients) and tumor size greater than 2 cm (premenopausal patients only) defined risk groups. In the premenopausal cohort, a low risk of 8% LRF ± DF at 10 years was found if the size of the tumor was Overall, results according to randomized treatment showed a reduction in LRF ± DF for patients with node-negative disease who received the single cycle of PeCMF compared with those who received no adjuvant therapy. Additional study is required, however, to determine how much the risk of LRF is reduced by adequate adjuvant systemic therapy selected according to the endocrine responsiveness of the primary tumor.14
For patients with lymph node metastases, the number of involved nodes and histologic grade were predictors of LRF for both pre- and postmenopausal women. VI provided supplementary prognostic information for premenopausal patients, and size of tumor provided supplementary prognostic information for postmenopausal women. Generally, patients with four or more involved nodes had high (ie, We previously reported that the 10-year LRF ± DF cumulative incidence was 18% for 2,108 patients with node-positive disease in IBCSG trials I though V who received more effective adjuvant systemic therapy compared with 36% for 722 patients who received less effective treatment.15 It is possible that even more effective adjuvant systemic therapy selected according to the endocrine responsiveness of the primary tumor14 might further reduce the risk of LRF. There is currently a general consensus that postoperative radiotherapy should be given to certain groups of patients with breast cancer who receive adjuvant systemic treatment not only with the aim of reducing the risk of LRF of the disease, but also to improve breast cancer survival.1014 This applies to the group of patients with four or more lymph node metastases, but there is a lack of consistent knowledge concerning the impact of other factors as predictors of a clinical benefit from postoperative radiotherapy.11 The overviews of radiotherapy trials show similar proportional reductions of locoregional relapses in different treatment groups, but absolute differences rather than relative differences should guide treatment decisions. Therefore, this retrospective study was performed to investigate the absolute rates of LRF in different patient groups according to several patient- and tumor-related factors. Because all patients were enrolled onto IBCSG studies, selection was according to defined inclusion criteria of the trials and does not represent a random sample of all postmastectomy cases. On the other hand, the selection process included quality control of diagnostic and surgical procedures, standards for adjuvant treatment, follow-up procedures, and results reporting. Only patients with radically removed tumors without involvement of skin or fascia were included in the IBCSG trials, and most of the studies required a minimum of eight lymph nodes examined for the inclusion of patients. The number of lymph nodes removed has been found in some studies to be of prognostic importance for LRF, possibly as a result of understaging and perhaps of undertreatment of the axilla.31 It has been suggested that the high frequency of LRF of some clinical trials57 might in fact result from less optimal surgical techniques, which also results in few retrieved lymph nodes.8 Two recently published retrospective series explored various factors of prognostic importance for LRF in more than 1,000 patients.3133 The study by Recht et al31 was based on approximately 2,000 patients who had been treated with mastectomy and postoperative adjuvant chemotherapy within four Eastern Cooperative Oncology Group studies. Number of lymph node metastases, number of examined nodes, tumor size, estrogen receptor protein, menopausal status, and age of the patients were analyzed, and rates were based on CIFs. In a multivariate setting, number of involved nodes, tumor size, and estrogen receptor status, but also the number of examined nodes, significantly contributed to LRF. Katz et al32,33 investigated approximately 1,000 patients who had been included in prospective clinical trials at the M.D. Anderson Cancer Center. The patients were all treated with a modified radical mastectomy and received adjuvant anthracycline-containing chemotherapy but without radiotherapy. Subjects were selected from a cohort of 1,800 patients, some of whom had received radiotherapy "at the discretion of the treating oncologist." The effect of this selection on the results is unclear. The first report focused on clinical features,32 and the second report focused on tumor-related factors obtained from the pathology reports of the M.D. Anderson review before treatment.33 Ten-year Kaplan-Meier estimates of LRF with or without prior or simultaneous distant metastases were studied. A multivariate Cox regression analysis revealed that the presence of four or more involved nodes, tumor size greater than 5 cm, close or positive surgical margins, or clinically or gross pathologically multicentric disease, but not the presence of lymph-vascular space invasion, was an independent predictor of LRF. Presence of lymph-vascular space invasion, however, was a significant predictor in the univariate analysis. A separate analysis was performed for patients with one to three involved nodes. In the multivariate analysis, tumor size, invasion of skin or nipple, and the presence of close or positive margins were predictors of LRF. It is thus noteworthy that in addition to the number of involved nodes and size of tumor, multicentric disease, defined as two or more areas of tumor in different quadrants or separated by at least 4 cm, invasion in skin or nipple, or close or positive surgical margins predicted a high rate of LRF. Because of the restricted entrance criteria for patients in the IBCSG trials, few patients, if any, in our study had positive margins. It is difficult to compare the frequencies of LRF among different studies. The selection and the treatment of patients vary, as well as the definition of LRF. In some studies only local relapses (ie, on the chest wall) are scored as LRF; supraclavicular nodes are sometimes counted as DFs and sometimes as LRFs. In our study as well as those of Recht et al31 and Katz et al,32 relapses on the chest wall and in the axilla, supra- or infraclavicular fossae, and internal mammary nodes were scored as LRFs. Statistics may be based on a first appearance of LRF without or with coincident DF or on LRF appearing at any time. In our study, figures are given for LRFs appearing either alone or with DF as a first event, and the statistical considerations are based on LRF as a first event with or without DF. The reporting of LRF after a known DF is considered to be unreliable. The length of follow-up as well as the statistical techniques used certainly influences the reported rate of LRF. In our analysis, we used the CIFs to estimate the risk of the events of interest.29 The CIF is a function that for each failure type describes the probability that an individual has had a failure of that type before a given time point in the presence of competing types of failure. This is different from the study of the so-called cause-specific hazard of having a failure of a specific type, where the hazard is defined by considering all competing failures as censored observations, and the Kaplan-Meier method is used to produce probability estimates.30 In the context of competing risks of failure, the Kaplan-Meier estimates are always higher than the CIF estimates and always overestimate the chance that patients will actually suffer an LRF, because the Kaplan-Meier probabilities estimate the incidence only if all other competing causes of failure cannot occur.34,35 CIF estimates were also used for the analysis by Recht et al,31 but Katz et al32,33 used Kaplan-Meier estimates. A reanalysis of the Katz et al data using CIF methodology would provide better estimates for the true incidence of LRF because all patients in their series received anthracycline-containing chemotherapy and, therefore, were probably at higher risk for distant relapse as site of first failure. The overestimation of LRF incidence by the Kaplan-Meier method increases as the risk of DF-only events increases.34,35 We have shown that local and regional relapses constitute a therapeutic problem in breast cancer despite controlled surgery and adjuvant cytotoxic and/or endocrine treatment. Available studies consistently show that an increasing number of involved axillary lymph nodes also increases the risk of such failures and that the size of the tumor adds to the risk. Especially among women with one to three involved nodes enrolled in ongoing trials of postoperative radiotherapy, there is a need to explore other possible predictors of recurrence, including histologic grade and VI as identified in our study.
International Breast Cancer Study Group (IBCSG) Participants and Authors Trials IVII; Updated March 2002
We thank the patients, physicians, nurses, and data managers who participate in the IBCSG trials. We gratefully acknowledge the initial support provided by the Ludwig Institute for Cancer Research and the Cancer League of Ticino, and the continuing support for central coordination, data management, and statistics provided by the Swedish Cancer League, The Cancer Council Australia, Australian New Zealand Breast Cancer Trials Group, the Frontier Science and Technology Research Foundation, the Swiss Group for Clinical Cancer Research, the Swiss Cancer League, the American-Italian Cancer Foundation (grant nos. 10198 and 10199), and the United States National Cancer Institute (grant no. CA-75362). We also acknowledge support for the Cape Town participants from the Cancer Association of South Africa. In addition, we acknowledge IBCSG participating institutions and investigators for trials I through VII: M. Isley, IBCSG Data Management, Albany, NY; C.M. Rudenstam, West Swedish Breast Cancer Study Group, Göteborg, Sweden; J. Lindtner, The Institute of Oncology, Ljubljana, Slovenia; H.J. Senn, Kantonsspital, St Gallen, M. Fey, Inselspital, Bern, F. Cavalli, Institute of Oncology of Southern Switzerland, Bellinzona; C. Sauter, University Hospital of Zürich, Zürich; R. Herrmann, Kantonsspital, Basel; P. Alberto, Hôpital Cantonal, Geneva; S. Leyvraz, Centre Hôpitalier Universitaire, Lausanne; P. Siegenthaler, Hôpital des Cadolles, Neuchâtel, Switzerland; J. Collins, The Cancer Council Victoria, Melbourne; M.H.N. Tattersall, University of Sydney and Royal Prince Alfred Hospital, Sydney; M. Byrne, Sir Charles Gairdner Hospital, Nedlands, West Australia; J. Forbes, University of Newcastle, Newcastle, Australia; R.G. Kay, Auckland Breast Cancer Study Group, Auckland, New Zealand; H.G. Schnürch, University of Düsseldorf, Germany; H. Cortés-Funes, Madrid Breast Cancer Group, Madrid, Spain; E. Murray, Groote Schuur Hospital and University of Cape Town, Cape Town, South Africa; G. Marini, Spedali Civili and Fondazione Beretta, Bresia; A. Veronesi, Centro di Riferimento Oncologico, Aviano; S. Foladore, Presidio Ospedaliero, Gorizia, Italy.
1. Early Breast Cancer Trialists Collaborative Group: Favourable and unfavourable effects on long-term survival of radiotherapy for early breast cancer: An overview of the randomised trials. Lancet 355:17571770, 2000[CrossRef][Medline] 2. Early Breast Cancer Trialists Collaborative Group: Ovarian ablation in early breast cancer: Overview of the randomised trials. Lancet 348:11891196, 1996[CrossRef][Medline] 3. Early Breast Cancer Trialists Collaborative Group: Tamoxifen for early breast cancer. An overview of the randomised trials. Lancet 351:14511467, 1998[CrossRef][Medline] 4. Early Breast Cancer Trialists Collaborative Group: Polychemotherapy for early breast cancer. An overview of the randomised trials. Lancet 352:930942, 1998[CrossRef][Medline]
5. Overgaard M, Hansen PS, Overgaard J, et al: Postoperative radiotherapy in high-risk premenopausal women with breast cancer who receive adjuvant chemotherapy: Danish Breast Cancer Cooperative Group 82b Trial. N Engl J Med 337:949955, 1997
6. Ragaz J, Jackson SM, Le N, et al: Adjuvant radiotherapy and chemotherapy in node-positive premenopausal women with breast cancer. N Engl J Med 337:956962, 1997 7. Overgaard M, Jensen MB, Overgaard J, et al: Postoperative radiotherapy in high-risk postmenopausal breast-cancer patients given adjuvant tamoxifen: Danish Breast Cancer Cooperative Group DBCG 82c randomised trial. Lancet 353:16411648, 1999[CrossRef][Medline] 8. Goldhirsch A, Coates AS, Colleoni M, et al: Radiotherapy and chemotherapy in high-risk breast cancer. N Engl J Med 338:330331, 1998[Medline]
9. Goldhirsch A, Colleoni M, Coates AS, et al: Adding adjuvant CMF chemotherapy to either radiotherapy or tamoxifen: Are all CMFs alike? The International Breast Cancer Study Group (IBCSG). Ann Oncol 9:489493, 1998 10. National Institutes of Health: Adjuvant therapy for breast cancer: NIH Consensus Statement 2000 (vol 17). Bethesda, MD, National Institutes of Health, 2000, pp 123
11. Recht A, Edge SB, Solin LJ, et al: Postmastectomy radiotherapy: Clinical practice guidelines of the American Society of Clinical Oncology. J Clin Oncol 19:15391569, 2001 12. Harris JR, Halpin-Murphy P, McNeese M, et al: Consensus statement on postmastectomy radiation therapy. Int J Radiat Oncol Biol Phys 44:989990, 1999[CrossRef][Medline] 13. Taylor M, Haffty B, Shank B, et al: Postmastectomy radiotherapy, in ACR Appropriateness Criteria, Philadelphia, PA, American College of Radiology, 2002, pp 11531170
14. Goldhirsch A, Glick J, Gelber R, et al: Meeting highlights: International consensus panel on the treatment of primary breast cancer. J Clin Oncol 19:38173827, 2001 15. Goldhirsch A, Gelber RD, Price KN, et al: Effect of systemic adjuvant treatment on first sites of breast cancer relapse. Lancet 343:377381, 1994[CrossRef][Medline]
16. Ludwig Breast Cancer Study Group: A randomized trial of adjuvant combination chemotherapy with or without prednisone in premenopausal breast cancer patients with metastases in one to three axillary lymph nodes. Cancer Res 45:44544459, 1985
17. Ludwig Breast Cancer Study Group: Chemotherapy with or without oophorectomy in high-risk premenopausal patients with operable breast cancer. J Clin Oncol 3:10591067, 1985 18. Ludwig Breast Cancer Study Group: Randomised trial of chemoendocrine therapy, endocrine therapy, and mastectomy alone in postmenopausal patients with operable breast cancer and axillary node metastasis. Lancet i:12561260, 1984 19. Castiglione M, Gelber RD, Goldhirsch A: Adjuvant systemic therapy for breast cancer in the elderly: Competing causes of mortality. J Clin Oncol 8:519526, 1990[Abstract]
20. Castiglione-Gertsch M, Johnsen C, Goldhirsch A, et al: for the International Breast Cancer Study Group: The International (Ludwig) Breast Cancer Study Group trials IIV15 years follow-up. Ann Oncol 5:717724, 1994 21. Ludwig Breast Cancer Study Group: Combination adjuvant chemotherapy for node-positive breast cancer: Inadequacy of a single perioperative cycle. N Engl J Med 319:677683, 1988[Abstract] 22. Ludwig Breast Cancer Study Group: Prolonged disease-free survival after one course of perioperative adjuvant chemotherapy for node-negative breast cancer. N Engl J Med 320:491496, 1989[Abstract]
23. The International Breast Cancer Study Group: Duration and reintroduction of adjuvant chemotherapy for node-positive premenopausal breast cancer patients. J Clin Oncol 14:18851894, 1996 24. The International Breast Cancer Study Group: Effectiveness of adjuvant chemotherapy in combination with tamoxifen for node-positive postmenopausal breast cancer patients. J Clin Oncol 15:13851393, 1997[Abstract] 25. Davis BW, Gelber RD, Goldhirsch A, et al: Prognostic significance of tumor grade in clinical trials of adjuvant therapy for breast cancer with axillary lymph node metastasis. Cancer 58:26622670, 1986[CrossRef][Medline] 26. Davis BW, Gelber R, Goldhirsch A, et al: Prognostic significance of peritumoral vessel invasion in clinical trials of adjuvant therapy for breast cancer with axillary lymph node metastasis. Hum Pathol 16:12121218, 1985[Medline] 27. Fine JP, Gray RJ: A proportional hazards model for the subdistribution of a competing risk. J Am Stat Assoc 94:496509, 1999[CrossRef] 28. Casella G, Berger RL: Statistical Inference. Pacific Grove, CA, Wadsworth Brooks/Cole, 1990 29. Kalbfleisch JD, Prentice RL: The Statistical Analysis of Failure Time Data. New York, NY, Wiley, 1980 30. Gray RJ: A class of K-sample tests for comparing the cumulative incidence of a competing risk. Ann Stat 16:11411154, 1988
31. Recht A, Gray R, Davidson NE, et al: Locoregional failure 10 years after mastectomy and adjuvant chemotherapy with or without tamoxifen without irradiation: Experience of the Eastern Cooperative Oncology Group. J Clin Oncol 17:16891700, 1999
32. Katz A, Strom EA, Buchholz TA, et al: Local recurrence patterns after mastectomy and doxorubicin-based chemotherapy: Implications for postoperative irradiation. J Clin Oncol 18:28172827, 2000 33. Katz A, Strom EA, Buchholz TA, et al: The influence of pathologic tumor characteristics on locoregional recurrence rates following mastectomy. Int J Radiat Oncol Biol Phys 50:735742, 2001[CrossRef][Medline] 34. Gooley TA, Leisenring W, Crowley J, et al: Estimation of failure probabilities in the presence of competing risks: New representations of old estimators. Stat Med 18:695706, 1999[CrossRef][Medline] 35. Gooley TA, Leisenring W, Crowley J, et al: Why Kaplan-Meier fails and cumulative incidence succeeds when estimating failure probabilities in the presence of competing risks, in: Crowley J (ed): Handbook of Statistics in Clinical Oncology. New York, Marcel Dekker, 2001, pp 513523 Submitted March 25, 2002; accepted December 20, 2002.
This article has been cited by other articles:
|
|||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
|||||||||||
|
Copyright © 2003 by the American Society of Clinical Oncology, Online ISSN: 1527-7755. Print ISSN: 0732-183X
|