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Journal of Clinical Oncology logoLink to Journal of Clinical Oncology
. 2014 Nov 17;32(36):4102–4112. doi: 10.1200/JCO.2014.55.1713

Prognosis and Conditional Disease-Free Survival Among Patients With Ovarian Cancer

Michelle L Kurta 1, Robert P Edwards 1, Kirsten B Moysich 1, Kathleen McDonough 1, Marnie Bertolet 1, Joel L Weissfeld 1, Janet M Catov 1, Francesmary Modugno 1, Clareann H Bunker 1, Roberta B Ness 1, Brenda Diergaarde 1,
PMCID: PMC4265120  PMID: 25403208

Abstract

Purpose

Traditional disease-free survival (DFS) does not reflect changes in prognosis over time. Conditional DFS accounts for elapsed time since achieving remission and may provide more relevant prognostic information for patients and clinicians. This study aimed to estimate conditional DFS among patients with ovarian cancer and to evaluate the impact of patient characteristics.

Patients and Methods

Patients were recruited as part of the Hormones and Ovarian Cancer Prediction case-control study and were included in the current study if they had achieved remission after a diagnosis of cancer of the ovary, fallopian tube, or peritoneum (N = 404). Demographic and lifestyle information was collected at enrollment; disease, treatment, and outcome information was abstracted from medical records. DFS was calculated using the Kaplan-Meier method. Conditional DFS estimates were computed using cumulative DFS estimates.

Results

Median DFS was 2.54 years (range, 0.03-9.96 years) and 3-year DFS was 48.2%. The probability of surviving an additional 3 years without recurrence, conditioned on having already survived 1, 2, 3, 4, and 5 years after remission, was 63.8%, 80.5%, 90.4%, 97.0%, and 97.7%, respectively. Initial differences in 3-year DFS at time of remission between age, stage, histology, and grade groups decreased over time.

Conclusion

DFS estimates for patients with ovarian cancer improved dramatically over time, in particular among those with poorer initial prognoses. Conditional DFS is a more relevant measure of prognosis for patients with ovarian cancer who have already achieved a period of remission, and time elapsed since remission should be taken into account when making follow-up care decisions.

INTRODUCTION

There were approximately 22,240 incident cases of ovarian cancer (OC) and 14,030 deaths due to OC in the United States in 2013.1 Patients diagnosed with localized OC have an estimated survival rate of 92%. Unfortunately, the majority of OC cases are diagnosed with regional or distant disease when survival rates are 72% and 27%, respectively.2

Survival estimates are traditionally reported from the time of diagnosis (overall survival [OS]) or remission (disease-free survival [DFS]). Although these estimates provide important information for patients and clinicians, they are not necessarily still applicable to patients who have already survived a period of time after their initial diagnosis and treatment. Conditional survival, which takes into account changes in risk over time, may offer more accurate estimates for these patients. Several previous studies assessed conditional OS among patients with OC; three used data from the SEER database,35 and one used data from the European Network for Indicators on Cancer (EUNICE).6 They reported that OS estimates improved as time elapsed since diagnosis and that the impact of prognostic factors such as age, stage, and histology diminished over time. These findings provide evidence that survival probabilities change significantly when accounting for time elapsed after diagnosis.

The majority of patients with OC achieve remission but, unfortunately, most will also eventually relapse. Follow-up care typically includes physical exams, imaging tests, and the close monitoring of CA-125 levels. There is, however, controversy regarding the effectiveness of these efforts to meaningfully impact disease outcomes.79 In addition, results from a recent clinical trial suggest that there is no survival benefit to initiating chemotherapy when CA-125 levels increase compared with delaying treatment until there is clinical evidence of disease.10 Moreover, earlier deterioration in quality of life was observed among women who were treated based on rising CA-125 levels alone.10 Therefore, there is a need to provide more accurate information regarding risk of recurrence, such as conditional DFS estimates, to patients so that they can make better informed decisions concerning their follow-up care.

To our knowledge, no prior studies have assessed conditional DFS among patients with OC. The objective of this study was to estimate conditional DFS among patients with OC and to evaluate the impact of patient characteristics.

PATIENTS AND METHODS

Study Population and Data Collection

Patients included in our analysis were enrolled as part of the Hormones and Ovarian Cancer Prediction (HOPE) case-control study, which has been described in detail previously.11,12 Briefly, HOPE includes 902 ovarian, peritoneal, and fallopian tube cases from a contiguous region of Western Pennsylvania (PA), Eastern Ohio (OH), and Western New York (NY). Cases were diagnosed between February 2003 and December 2008, ≥ 25 years old, and within 9 months of initial diagnosis at the time of recruitment. All participants provided informed consent. The study was approved by the University of Pittsburgh institutional review board and by human subject committees at each hospital where cases were identified and enrolled.

Trained interviewers collected demographic, lifestyle, and medical history information via in-person interviews, using 9 months before enrollment as reference date. Follow-up data has been collected on an ongoing basis through annual requests for patients' medical records from their treating physicians. Information collected includes CA-125 laboratory results, chemotherapy flow sheets, pathology reports, surgical and hospitalization records, imaging results, and oncologist notes. The Social Security Death Index (SSDI) and the National Death Index (NDI) were also used to determine vital status. For the purposes of this study, the cutoff date for follow-up data collection was April 16, 2013.

Patients recruited from OH or PA were included in the current study if they had achieved remission. Cases with borderline or nonepithelial tumors were excluded. Of the 651 patients recruited from OH or PA, 404 fulfilled these criteria and were included.

Disease Characteristics, Treatment, and Outcome

Information on disease characteristics, treatment and outcome was abstracted from medical records. Tumors reported to be of mixed grade were assigned to the highest tumor grade category. Cases were considered to be optimally debulked if their residual disease was less than 1 cm. If residual tumor size was unavailable, they were classified as optimally debulked if their surgeon/oncologist declared them to be optimally debulked. The presence of ascites and pleural effusion was collected from imaging results. If scans were not available, the presence of ascites or pleural effusion was considered to be “could not be assessed.” Chemotherapy agents were categorized into three groups: platinum-based (carboplatin, cisplatin, oxaliplatin, and abraxane), taxanes (taxol, taxotere, and xyotax), and other (all other chemotherapy agents, including: avastin, doxil, topotecan, gemzar, cytoxan, interferon, mytomycin, erbitux, ifosphomaide, catumaxomab, and ovarex). Total number of cycles received for each group was the sum of all neoadjuvant, adjuvant, maintenance, and persistent disease-related chemotherapy. Persistent disease was defined as the presence of measurable disease after primary treatment.

Date of diagnosis was the date of first positive cytology or, in cases with no available cytology before primary surgery, the date of primary surgery. Date of remission was the date an oncologist first declared the patient to have no evidence of disease (n = 278). For patients missing this information (n = 126), we used the following (listed in order of use): (1) date of the first negative surgical results (n = 17); (2) date of the first negative imaging results (n = 19); (3) date of first other event indicating no evidence of disease (eg, normalized CA-125 level; n = 3); and, if none of this was available, (4) a date of 4 weeks after completion of chemotherapy (n = 75) or, if no chemotherapy was received, the date of primary surgery (n = 12). Recurrence was defined as the return of disease after being in remission. A similar process as for date of remission was applied to determine date of recurrence. If available, the date an oncologist first diagnosed the patient with recurrence was used (n = 179); when this was not available, we used the following (listed in order of use): (1) date of the first positive surgical results (n = 16); (2) date of the first positive imaging results (n = 11); (3) date of chemotherapy/radiation initiation (n = 14); and (4) date of first other event indicating return of disease (eg, elevated CA-125 level; n = 2) after being disease-free. OS was defined as the time elapsed between date of diagnosis and date of death or last contact. DFS was defined as the interval between date of remission and date of recurrence or last contact. Patients who were not diagnosed with recurrent OC during the follow-up period were censored at the date of last contact.

Statistical Analysis

Traditional OS and DFS estimates were calculated using the Kaplan-Meier approach. Conditional DFS, an extension of the concept of conditional OS, is the probability of staying disease-free an additional y years given that the patient has already been in remission for x years.1315 Conditional DFS estimates were computed using cumulative DFS estimates.14 For example, to compute the 3-year conditional DFS estimate for patients who had already been in remission for 2 years, the 5-year cumulative DFS was divided by the 2-year cumulative DFS. Changes in DFS over time were assessed by comparing 3-year conditional DFS estimates at 1, 2, 3, 4, and 5 years after achieving remission with baseline (date of remission) 3-year DFS estimates. In addition to overall conditional DFS, to evaluate the effect of patient characteristics, we also computed 3-year conditional DFS estimates within strata defined by age, stage, histology, and grade. Impact of patient characteristics on DFS at baseline and at 1 and 2 years after achieving remission was also evaluated using age-adjusted Cox proportional hazards models to calculate hazard ratios and corresponding 95% CIs for recurrence. We used the landmark analysis approach to assess impact at years 1 and 2 of remission.16,17 The size of some of the subgroups and the number of events was too small to yield meaningful results for later years. Women who had recurred or whose date of last contact was within 1 year of remission were excluded from the 1-year time point analysis. Similarly, women who had this happen within 2 years of remission were excluded from the 2-year time point analysis. DFS was measured from the time point of interest and age used in the models was current age (that is, age at baseline plus 1 year for the 1-year time point, plus 2 years for the 2-year time point). All significance tests were two-sided; P values less than 0.05 were considered statistically significant. All analyses were conducted using Stata version 12.1 (StataCorp LP, College Station, TX).

RESULTS

Selected demographic and lifestyle characteristics of the study population are shown in Table 1. The majority of patients were white and postmenopausal. Median age at diagnosis was 58.6 years (not in table), and 5.5% had a family history of ovarian-only or breast and ovarian cancer.

Table 1.

Selected Demographic and Lifestyle Characteristics of the Study Population

graphic file with name zlj03614-4821-t01.jpg

Characteristic Study Population (N = 404)
No. %
Age at remission, years
    < 45 42 10.4
    45 to < 55 96 23.8
    55 to < 65 126 31.2
    ≥ 65 140 34.6
Race
    White 391 96.8
    African-American 9 2.2
    Other 4 1.0
Education
    Non–high school graduate 36 8.9
    High school graduate 131 32.4
    Post–high school 237 58.7
Yearly income, $
    ≥ 90,000 47 11.6
    50,000 to < 90,000 117 29.0
    25,000 to < 50,000 113 28.0
    < 25,000 80 19.8
    Could not be assessed 47 11.6
Body mass index, kg/m2
    < 25 151 37.4
    25 to < 30 121 29.9
    ≥ 30 132 32.7
Smoking status
    Never smoker 202 50.0
    Former smoker 140 34.7
    Current smoker 62 15.4
Alcohol use, drinks per week
    ≤ 7 338 83.7
    8 to ≤ 14 38 9.4
    ≥ 15 28 6.9
Family history*
    None 319 79.0
    Breast only 63 15.6
    Ovarian only 18 4.5
    Breast and ovarian 4 1.0
Menopausal status†
    Premenopausal 97 24.0
    Postmenopausal 307 76.0
*

Family history was defined as having at least one reported diagnosis of the cancer(s) in a first-degree relative.

Women were classified as postmenopausal if they were ≥ 55 years old, reported natural menopause, had used hormone replacement therapy, or reported no menstrual periods in the 6 months prior to the reference date.

Table 2 presents the distribution of disease and clinical characteristics among patients across years of disease-free survival (ie, at baseline and 1, 2, 3, 4, and 5 years after achieving remission, given that they remained in remission at these time points). Only 30.8% of the study participants had been diagnosed with stage I disease, however, 61.8% of the women who survived 5 years without recurrence had stage I disease. Similar relationships were observed for histologic subtypes, cytology of ascites/pelvic washings, pretreatment ascites, lymph node involvement, presence and size of residual disease, debulking status, and number of chemotherapy cycles before normalization of CA-125.

Table 2.

Distribution of Disease and Clinical Characteristics Across Years of Disease-Free Survival

graphic file with name zlj03614-4821-t02.jpg

graphic file with name zlj03614-4821-t02a.jpg

Characteristic Baseline (N = 404)
1 yr (n = 281)
2 yr (n = 219)
3 yr (n = 185)
4 yr (n = 148)
5 yr (n = 104)
No. % No. % No. % No. % No. (%) No. (%)
Stagea
    I 124 30.8 118 42.1 112 51.4 108 58.7 89 60.5 64 61.8
    II 44 10.9 37 13.2 31 14.2 28 15.2 25 17.0 19 18.6
    III 205 50.9 113 40.4 69 31.7 44 23.9 30 20.4 17 16.7
    IV 30 7.4 12 4.3 6 2.8 4 2.2 3 2.0 3 2.9
Primary site
    Ovarian 341 84.4 239 85.1 189 86.3 165 89.2 130 87.8 94 90.3
    Peritoneal 30 7.4 18 6.4 11 5.0 4 2.2 3 2.0 2 1.9
    Fallopian 28 6.9 22 7.8 17 7.8 15 8.1 14 9.5 7 6.8
    Could not be assessed 5 1.2 2 0.7 2 0.9 1 0.5 1 0.7 1 1.0
Grade
    Well differentiated 42 10.4 39 13.9 34 15.5 32 17.3 28 18.9 16 15.4
    Moderately differentiated 106 26.2 78 27.8 61 27.9 53 28.6 41 27.7 31 29.8
    Poorly differentiated 221 54.7 139 49.5 102 46.6 83 44.9 63 42.6 47 45.2
    Could not be assessed 35 8.7 25 8.9 22 10.0 17 9.2 16 10.8 10 9.6
Histology
    Serous 216 53.5 125 44.5 81 37.0 60 32.4 45 30.4 29 28.2
    Endometrioid 68 16.8 60 21.4 52 23.7 51 27.6 38 25.7 32 31.1
    Mucinous 21 5.2 20 7.1 20 9.1 18 9.7 16 10.8 10 8.7
    Clear cell 29 7.2 28 10.0 24 11.0 22 11.9 20 13.5 14 13.6
    Brenner 5 1.2 4 1.4 4 1.8 3 1.6 3 2.0 3 2.9
    MMT 9 2.2 7 2.5 6 2.7 5 2.7 5 3.4 4 3.9
    Mixed 40 9.9 29 10.3 25 11.4 21 11.4 17 11.5 11 10.7
    Otherb 3 0.7 2 0.7 1 0.5 1 0.5 0 0.0 0 0.0
    Could not be assessed 13 3.2 6 2.1 6 2.7 4 2.2 4 2.7 1 1.0
Pretreatment CA-125
    ≤ 35 U/mL 60 14.9 54 19.2 49 22.4 45 24.3 38 25.7 28 26.2
    > 35 U/mL 274 67.8 178 63.4 136 62.1 112 60.5 94 63.5 68 66.0
    Could not be assessed 70 17.3 49 17.4 34 15.5 28 15.1 16 10.8 8 7.8
Pretreatment pleural effusion
    No 58 14.4 36 12.8 29 13.2 29 15.7 27 18.2 19 18.5
    Yes 44 10.9 23 8.2 15 6.9 10 5.4 7 4.7 6 5.8
    Could not be assessed 302 74.8 222 79.0 175 79.9 146 78.9 114 77.0 79 75.7
Cytology of ascites/pelvic washings
    Negative 138 34.2 123 43.8 114 52.1 107 57.8 85 57.4 64 61.2
    Positive 182 45.1 103 36.6 60 27.4 44 23.8 37 25.0 23 22.3
    Atypical 16 4.0 11 3.9 9 4.1 7 3.8 7 4.7 4 3.9
    Could not be assessed 68 16.8 44 15.7 36 16.4 27 14.6 19 12.8 13 12.6
Pretreatment ascites
    No 153 37.9 128 45.6 112 51.1 99 53.5 83 56.1 60 57.3
    Yes 246 60.9 148 52.7 103 47.0 84 45.4 63 42.6 43 41.8
    Could not be assessed 5 1.2 5 1.8 4 1.8 2 1.1 2 1.4 1 1.0
Lymph node involvement
    No palpable nodes, no biopsies 152 37.6 83 29.5 55 25.1 42 22.7 31 21.0 18 17.5
    Palpable nodes, no biopsies 6 1.5 5 1.8 1 0.5 0 0.0 0 0.0 0 0.0
    Biopsies negative 183 45.3 157 55.9 139 63.5 125 67.6 105 71.0 76 72.8
    Biopsies positive 57 14.1 33 11.7 21 9.6 16 8.7 10 6.8 8 7.8
    Could not be assessed 6 1.5 3 1.1 3 1.4 2 1.1 2 1.4 2 1.9
Synchronous primary tumor
    No 375 93.5 261 93.2 202 92.7 170 92.4 135 91.8 96 93.1
    Yes, endometrial 20 5.0 15 5.4 14 6.4 13 7.1 11 7.5 7 6.9
    Yes, otherc 6 1.5 4 1.4 2 0.9 1 0.5 1 0.7 0 0.0
Residual disease after cytoreductive surgeryd
    No 238 59.4 199 71.1 176 80.7 160 87.0 132 89.8 95 92.2
    Yes 133 33.2 65 23.2 34 15.6 21 11.4 15 6.1 8 7.8
    Could not be assessed 30 7.5 16 5.7 8 3.7 3 1.6 0 0.0 0 0.0
Residual disease after cytoreductive surgery, cmd
    No residual disease 238 59.4 201 71.8 178 81.7 161 87.5 132 89.8 95 92.2
    0.1 to < 1.0 70 17.5 38 13.6 18 8.3 11 6.0 9 6.1 5 4.9
    1.0 to < 2.0 24 6.0 10 3.6 5 2.3 1 0.5 1 0.7 1 1.0
    ≥ 2.0 17 4.2 3 1.1 3 1.4 3 1.6 2 1.4 0 0.0
    Could not be assessed 52 13.0 28 10.0 14 6.4 8 4.4 3 2.0 2 2.0
Debulking at cytoreductive surgerye
    Optimal 307 76.0 244 86.8 196 89.5 171 92.5 138 93.2 97 93.2
    Suboptimal 57 14.1 22 7.8 12 5.5 7 3.8 4 2.7 2 1.9
    Received neoadjuvant chemotherapy 27 6.7 9 3.2 8 3.7 5 2.7 4 2.7 3 2.9
    No primary surgery performed 3 0.7 1 0.4 1 0.5 1 0.5 1 0.7 1 1.0
    Could not be assessed 10 2.5 5 1.8 2 0.9 1 0.5 1 0.7 1 1.0
Platinum chemotherapy, no. of cyclesf,g
    No 31 7.7 28 10.0 28 12.8 25 13.5 21 14.2 13 11.7
    0 to ≤ 3 21 5.2 20 7.1 18 8.2 16 8.7 13 8.8 11 10.7
    3 to ≤ 6 247 61.1 173 61.6 130 59.4 115 62.2 91 61.5 64 62.1
    > 6 102 25.3 57 20.3 41 18.7 27 14.6 21 14.2 16 15.5
    Yes, number of cycles unknown 3 0.7 3 1.1 2 0.9 2 1.1 2 1.4 0 0.0
Taxane chemotherapy, no. of cyclesf,h
    No 41 10.2 37 13.2 35 16.0 30 16.2 24 16.2 16 14.6
    0 to ≤ 3 24 5.9 21 7.5 20 9.1 17 9.2 16 10.8 13 12.6
    3 to ≤ 6 235 58.2 163 58.0 126 57.5 109 58.9 87 58.8 60 58.3
    > 6 99 24.5 55 19.6 34 15.6 25 13.5 19 12.8 15 14.6
    Yes, number of cycles unknown 5 1.2 5 1.8 4 1.8 4 2.2 2 1.4 0 0.0
Other chemotherapy, no. of cyclesf,i
    No 355 89.0 253 90.0 201 91.8 175 94.6 142 96.0 100 96.1
    0 to ≤ 3 3 0.8 5 1.8 3 1.4 2 1.1 1 0.7 1 1.0
    3 to ≤ 6 16 4.0 11 3.9 7 3.2 4 2.2 4 2.7 3 2.9
    > 6 21 5.3 10 3.6 8 3.7 4 2.2 1 0.7 0 0.0
    Yes, number of cycles unknown 4 1.0 2 0.7 0 0.0 0 0.0 0 0.0 0 0.0
Maintenance chemotherapy
    No 366 90.6 252 89.7 204 93.2 174 94.1 142 96.0 101 97.1
    Yes 38 9.4 29 10.3 15 6.9 11 5.9 6 4.0 3 2.9
Number of chemotherapy cycles before normalization of CA-125
    Normalized without/prior to chemotherapy 133 32.9 120 42.7 105 47.9 94 50.8 76 51.4 51 49.0
    Normalized 1 to < 3 116 28.7 79 28.1 65 29.7 53 28.7 39 26.4 30 28.8
    Normalized 3 to < 6 80 19.8 37 13.2 21 9.6 15 8.1 13 8.8 7 6.7
    Normalized ≥ 6 37 9.2 19 6.8 9 4.1 7 3.8 7 4.7 5 4.8
    Could not be assessed 38 9.4 26 9.3 19 8.7 16 8.7 13 8.8 11 10.6
Persistent disease after primary treatment
    No 391 96.8 277 98.6 216 98.6 183 98.9 146 98.7 103 99.0
    Yes 13 3.2 4 1.4 3 1.4 2 1.1 2 1.3 1 1.0

Abbreviations: MMT, mixed Mullerian tumor; yr, year.

a

One patient was missing stage information because she never had staging or cytoreductive surgeries and was never formally staged by oncologist.

b

Includes one micropapillary serous, one adenosquamous, one papillary serous with multiple psammoma bodies.

c

Includes one of each of the following synchronous cancers: fallopian tube, granulosa cell tumor of the ovary, recurrent breast, GI stromal, skin, and appendiceal.

d

Excludes three patients that did not have cytoreductive surgery.

e

Patients were considered to be optimally debulked if their disease was <1 cm or their surgeon/oncologist declared them to be optimally debulked at the conclusion of their cytreductive surgery.

f

Includes neoadjuvant, adjuvant, and maintenance chemotherapies received as well as any chemotherapy received for persistent disease.

g

Includes carboplatin, cisplatin, oxaliplatin, and abraxane.

h

Includes taxol, taxotere, and xyotax.

i

Includes avastin, doxil, topotecan, gemzar, cytoxan, interferon, mytomycin, erbitux, ifosphomaide, catumaxomab, and ovarex. Many of these other chemotherapies were given as part of a clinical trial and in some cases it was unclear whether participants received placebo or the active agent; cases that were reported to have gotten the placebo were considered to have received no chemotherapy.

Among all 404 patients included in this study, median OS was 4.50 years (range, 0.82-9.89 years). At the cutoff date for follow-up, 235 (58.2%) study participants were still alive. Median time elapsed between date of diagnosis and remission was 6.45 months (range, 0-26.20 months; this includes 12 women whose date of diagnosis was the date of their cytoreductive surgery after which there was no residual disease and no further treatment necessary). Traditional DFS curves, stratified by age at remission and stage, are depicted in Appendix Figure A1 (online only). Within our study, 222 (55.0%) women were diagnosed with recurrent OC and median DFS was 2.54 years (range, 0.03-9.36 years).

At baseline, 3-year DFS was 48.2%. The probability of surviving an additional 3 years without recurrence, conditioned on having already survived 1, 2, 3, 4, and 5 years after remission, improved to 63.8%, 80.5%, 90.4%, 97.0%, and 97.7%, respectively (see Fig 1). Presented differently, the probability that a patient will still be disease-free 5 years after achieving remission increases from 44.6% at baseline to 63.3%, 80.5%, 92.4%, and 99.2% after being already disease-free for, respectively, 1, 2, 3, and 4 years.

Fig 1.

Fig 1.

Three–year conditional disease-free survival estimates. Number of patients still in remission at particular time point.

Figure 2 shows 3-year conditional DFS estimates stratified by age, stage, histology, and grade. Generally, 3-year DFS estimates increased for all age, stage, histology, and grade groups evaluated and the disparity in estimates decreased with longer time in remission. For instance, 3-year DFS estimates for histology groups ranged from 28.8% to 95.2% at baseline but this range became tighter over time and at year 5 was 90.9% to 100% (see Fig 2). The largest improvements in 3-year DFS estimates were observed for older women and those diagnosed with stage III/IV disease, serous tumors, and poorly differentiated tumors (see Fig 2).

Fig 2.

Fig 2.

Three-year conditional disease-free estimates stratified by age at remission (A), stage (B), histology (C), and grade (D). Number of patients still in remission at particular time point. diff., differentiated.

Cox proportional hazards models adjusted for current age were used to evaluate the effect of patient characteristics on subsequent DFS at baseline and at years 1 and 2 of remission; results are reported in Table 3. For the 1- and 2-year time points, DFS was measured from the specified time point and only women who were still disease-free at that time point were included in the analysis. At baseline, characteristics significantly associated with higher risk of recurrence (compared with reference group, see Table 3) included family history of breast and OC, later stage, peritoneal cancer, higher grade, pretreatment CA-125 greater than 35 U/mL, pretreatment pleural effusion, positive cytology of ascites/pelvic washings, pretreatment ascites, presence and larger size of residual disease, nonoptimal debulking, higher number of platinum, taxane, and other chemotherapy cycles, receiving maintenance chemotherapy, higher number of chemotherapy cycles before CA-125 normalization, and having persistent disease after primary treatment. Decreased risk of recurrence was significantly associated with negative lymph node biopsies and endometrioid, mucinous, clear cell, and mixed tumors. All these characteristics except pretreatment CA-125 level and persistent disease after primary treatment remained predictive of subsequent DFS at the 1- and 2-year time points. We were unable to assess the impact of several characteristics at the 2-year time point due to limitations of subgroup size.

Table 3.

HRs and Corresponding 95% CIs for Recurrence at Baseline and at Years 1 and 2 of Remissiona

graphic file with name zlj03614-4821-t03.jpg

graphic file with name zlj03614-4821-t03a.jpg

graphic file with name zlj03614-4821-t03b.jpg

Characteristic Baseline (N = 404)
Year 1 (n = 281)
Year 2 (n = 219)
HRb 95% CI HRb 95% CI HRb 95% CI
Race
    White 1.0 ref 1.0 ref 1.0 ref
    African-American 0.56 0.21 to 1.50 0.76 0.24 to 2.41 1.21 0.29 to 5.11
    Other 0.51 0.07 to 3.68 1.06 0.14 to 7.87
Education
    Non–high school graduate 1.0 ref 1.0 ref 1.0 ref
    High school graduate 1.45 0.87 to 2.43 1.72 0.76 to 3.90 5.46 0.72 to 41.48
    Post–high school 1.24 0.74 to 2.05 1.53 0.68 to 3.42 4.78 0.63 to 36.19
Yearly Income, $
    ≥ 90,000 1.0 ref 1.0 ref 1.0 ref
    50,000 to < 90,000 1.55 0.94 to 2.56 0.88 0.49 to 1.57 1.16 0.45 to 3.01
    25,000 to < 50,000 1.71 1.03 to 2.84 0.70 0.37 to 1.32 0.71 0.24 to 2.12
    < 25,000 1.52 0.89 to 2.60 0.88 0.46 to 1.69 1.35 0.48 to 3.78
    Could not be assessed 1.65 0.92 to 2.95 0.83 0.39 to 1.76 1.08 0.33 to 3.56
Body mass index, in kg/m2
    < 25 1.0 ref 1.0 ref 1.0 ref
    25 to < 30 1.14 0.83 to 1.57 0.84 0.53 to 1.34 0.86 0.42 to 1.78
    ≥ 30 0.95 0.69 to 1.30 0.68 0.42 to 1.08 0.67 0.32 to 1.38
Smoking status
    Never smoker 1.0 ref 1.0 ref 1.0 ref
    Former smoker 0.88 0.66 to 1.18 1.06 0.69 to 1.63 0.98 0.51 to 1.89
    Current smoker 0.93 0.63 to 1.38 1.26 0.73 to 2.18 0.95 0.38 to 2.35
Alcohol use, drinks per week
    ≤ 7 1.0 ref 1.0 ref 1.0 ref
    8 to ≤ 14 0.97 0.61 to 1.55 0.90 0.45 to 1.79 1.37 0.57 to 3.24
    ≥ 15 0.89 0.52 to 1.54 0.78 0.34 to 1.78 0.33 0.04 to 2.39
Family history
    None 1.0 ref 1.0 ref 1.0 ref
    Breast only 0.84 0.58 to 1.22 0.89 0.53 to 1.51 1.15 0.55 to 2.40
    Ovarian only 0.69 0.34 to 1.40 0.73 0.27 to 1.98 0.47 0.06 to 3.40
    Breast and ovarian 3.24 1.19 to 8.78 4.22 1.02 to 17.41 13.87 1.81 to 105.96
Menopausal status
    Premenopausal 1.0 ref 1.0 ref 1.0 ref
    Postmenopausal 1.15 0.75 to 1.78 1.12 0.60 to 2.08 1.10 0.44 to 2.78
Stagec
    I 1.0 ref 1.0 ref 1.0 ref
    II 3.45 1.70 to 7.0 3.09 1.25 to 7.63 2.15 0.51 to 9.07
    III 12.59 7.38 to 21.50 12.27 6.31 to 23.87 14.77 5.74 to 38.02
    IV 16.10 8.41 to 30.82 11.00 4.14 to 29.21 4.21 0.49 to 36.47
Primary site
    Ovarian 1.0 ref 1.0 ref 1.0 ref
    Peritoneal 1.70 1.11 to 2.61 2.72 1.53 to 4.85 5.32 2.32 to 12.19
    Fallopian 0.78 0.45 to 1.38 0.94 0.44 to 2.05 0.65 0.15 to 2.69
    Could not be assessed 1.64 0.60 to 4.47 1.06 0.15 to 7.73 3.00 0.39 to 23.04
Grade
    Well differentiated 1.0 ref 1.0 ref 1.0 ref
    Moderately differentiated 3.37 1.52 to 7.44 2.52 0.96 to 6.61 2.23 0.47 to 10.60
    Poorly differentiated 5.06 2.36 to 10.85 3.92 1.57 to 9.79 4.98 1.17 to 21.15
    Could not be assessed 3.41 1.41 to 8.24 2.12 0.67 to 6.70 3.31 0.60 to 18.10
Histology
    Serous 1.0 ref 1.0 ref 1.0 ref
    Endometrioid 0.22 0.13 to 0.37 0.23 0.12 to 0.44 0.13 0.04 to 0.42
    Mucinous 0.04 0.01 to 0.28
    Clear cell 0.21 0.10 to 0.44 0.30 0.13 to 0.70 0.19 0.05 to 0.80
    Brenner 0.36 0.09 to 1.47 0.32 0.04 to 2.31 0.59 0.08 to 4.36
    MMT 0.44 0.16 to 1.20 0.40 0.10 to 1.62 0.39 0.05 to 2.86
    Mixed 0.46 0.28 to 0.75 0.37 0.18 to 0.77 0.38 0.13 to 1.08
    Otherd 1.17 0.28 to 4.86 1.48 0.19 to 11.27
    Could not be assessed 0.87 0.44 to 1.70 0.39 0.10 to 1.60 0.87 0.21 to 3.66
Pretreatment CA-125
    ≤ 35 U/mL 1.0 ref 1.0 ref 1.0 ref
    > 35 U/mL 2.92 1.75 to 4.89 2.35 1.21 to 4.58 2.27 0.88 to 5.87
    Could not be assessed 2.93 1.64 to 5.22 2.96 1.40 to 6.26 2.24 0.71 to 7.07
Pretreatment pleural effusion
    No 1.0 ref 1.0 ref 1.0 ref
    Yes 1.98 1.22 to 3.24 3.66 1.53 to 8.75 17.02 2.04 to 141.74
    Could not be assessed 0.97 0.66 to 1.44 1.91 0.92 to 3.96 7.64 1.04 to 55.97
Cytology of ascites/pelvic washings
    Negative 1.0 ref 1.0 ref 1.0 ref
    Positive 5.49 3.72 to 8.09 5.58 3.33 to 9.36 4.67 2.20 to 9.91
    Atypical 3.20 1.52 to 6.70 2.91 0.99 to 8.56 3.09 0.67 to 14.15
    Could not be assessed 3.52 2.21 to 5.59 3.02 1.59 to 5.77 3.68 1.53 to 8.84
Pretreatment ascites
    No 1.0 ref 1.0 ref 1.0 ref
    Yes 2.85 2.08 to 3.89 2.77 1.79 to 4.29 2.97 1.52 to 5.81
    Could not be assessed 1.10 0.27 to 4.50 2.00 0.48 to 8.41 2.54 0.33 to 19.73
Lymph node involvement
    No palpable nodes, no biopsies 1.0 ref 1.0 ref 1.0 ref
    Palpable nodes, no biopsies 1.48 0.64 to 3.38 5.39 2.10 to 13.82 6.53 0.84 to 50.92
    Biopsies negative 0.30 0.22 to 0.42 0.36 0.23 to 0.58 0.43 0.21 to 0.88
    Biopsies positive 1.16 0.82 to 1.64 1.41 0.84 to 2.37 2.06 0.93 to 4.56
    Could not be assessed 0.59 0.19 to 1.87
Synchronous primary tumor
    No 1.0 ref 1.0 ref 1.0 ref
    Yes, endometrial 0.42 0.17 to 1.01 0.16 0.02 to 1.18 0.36 0.05 to 2.61
    Yes, othere 1.20 0.44 to 3.25 1.61 0.39 to 6.66
Residual disease after cytoreductive surgeryf
    No 1.0 ref 1.0 ref 1.0 ref
    Yes 4.82 3.59 to 6.48 5.02 3.29 to 7.66 4.54 2.34 to 8.78
    Could not be assessed 5.31 3.39 to 8.32 6.99 3.73 to 13.10 9.71 3.61 to 26.09
Size of residual disease after cytoreductive surgery, cmf
    No residual disease 1.0 ref 1.0 ref 1.0 ref
    0.1 to < 1.0 4.41 3.12 to 6.22 5.23 3.21 to 8.5 4.43 1.96 to 10.04
    1.0 to < 2.0 5.62 3.50 to 9.02 6.86 3.32 to 14.19 11.12 3.77 to 32.84
    ≥ 2.0 6.72 3.85 to 11.75 1.40 0.19 to 10.18 2.76 0.37 to 20.51
    Could Not Be Assessed 4.89 3.37 to 7.11 5.87 3.47 to 9.92 5.54 2.36 to 12.99
Debulking at cytoreductive surgeryg
    Optimal 1.0 ref 1.0 ref 1.0 ref
    Suboptimal 3.77 2.72 to 5.22 3.40 2.01 to 5.77 4.60 2.02 to 10.48
    Received neoadjuvant chemotherapy 2.99 1.89 to 4.72 1.31 0.48 to 3.58 2.50 0.76 to 8.20
    No primary surgery performed 1.70 0.42 to 6.95
    Unknown 3.76 1.91 to 7.40 4.27 1.56 to 11.70 3.60 0.49 to 26.39
Platinum chemotherapy, no. of cyclesh,i
    No 1.0 ref 1.0 ref 1.0 ref
    0 to ≤ 3 2.21 0.63 to 7.85 3.80 0.74 to 19.59 2.33 0.39 to 13.93
    3 to ≤ 6 5.66 2.09 to 15.31 6.29 1.54 to 25.70 2.38 0.56 to 10.11
    > 6 9.96 3.64 to 27.24 10.72 2.57 to 44.76 6.59 1.51 to 28.67
    Yes, number of cycles unknown 2.46 0.27 to 22.02 5.14 0.46 to 56.88
Taxane chemotherapy, no. of cycles)h,j
    No 1.0 ref 1.0 ref 1.0 ref
    0 to ≤ 3 1.50 0.54 to 4.14 1.34 0.36 to 4.99 1.66 0.33 to 8.23
    3 to ≤ 6 3.52 1.72 to 7.19 2.96 1.19 to 7.36 2.15 0.65 to 7.14
    > 6 6.82 3.29 to 14.14 6.03 2.35 to 15.47 4.49 1.27 to 15.92
    Yes, number of cycles unknown 1.84 0.39 to 8.66 2.95 0.57 to 15.23 2.54 0.26 to 24.67
Other chemotherapy, no. of cyclesh,k
    No 1.0 ref 1.0 ref 1.0 ref
    0 to ≤ 3 1.01 0.32 to 3.16 1.53 0.38 to 6.24
    3 to ≤ 6 1.75 1.03 to 2.98 2.59 1.25 to 5.36 3.90 1.38 to 11.00
    > 6 2.29 1.39 to 3.78 2.13 0.93 to 4.88 4.34 1.53 to 12.31
    Yes, number of cycles unknown 4.66 1.72 to 12.64 18.13 4.28 to 76.72
Maintenance chemotherapy
    No 1.0 ref 1.0 ref 1.0 ref
    Yes 1.79 1.21 to 2.64 3.51 2.15 to 5.71 3.43 1.51 to 7.78
Number of chemotherapy cycles before normalization of CA-125
    Normalized without/prior to chemotherapy 1.0 ref 1.0 ref 1.0 ref
    1 to < 3 2.56 1.71 to 3.84 1.80 1.06 to 3.05 2.29 1.08 to 4.85
    3 to < 6 5.59 3.72 to 8.39 4.33 2.50 to 7.52 4.23 1.78 to 10.08
    ≥ 6 5.19 3.19 to 8.43 4.51 2.27 to 8.96 2.17 0.48 to 9.72
    Could not be assessed 2.94 1.75 to 4.95 2.26 1.12 to 4.58 1.91 0.61 to 5.91
Persistent disease after primary treatment
    No 1.0 ref 1.0 ref 1.0 ref
    Yes 2.96 1.57 to 5.60 0.84 0.12 to 6.0

Abbreviations: HR, hazard ratio; MMT, mixed Mullerian tumor; ref, reference.

a

Landmark method was used for years 1 and 2. Please see Tables 1 and 2 for number of participants in the different categories.

b

HRs were calculated using Cox regression models adjusted for current age (continuous) and disease-free survival was measured from the specified time point.

c

One patient was missing stage information because she never had staging or cytoreductive surgeries and was never formally staged by oncologist.

d

Includes one micropapillary serous, one adenosquamous, one papillary serous with multiple psammoma bodies.

e

Includes one of each of the following synchronous cancers: fallopian tube, granulosa cell tumor of the ovary, recurrent breast, GI stromal, skin, and appendiceal.

f

Excludes three patients that did not have cytoreductive surgery.

g

Patients were considered to be optimally debulked if their disease was <1 cm or their surgeon/oncologist declared them to be optimally debulked at the conclusion of their cytreductive surgery.

h

Includes neoadjuvant, adjuvant and maintenance chemotherapies received as well as any chemotherapy received for persistent disease.

i

Includes carboplatin, cisplatin, oxaliplatin, and abraxane.

j

Includes taxol, taxotere, and xyotax.

k

Includes avastin, doxil, topotecan, gemzar, cytoxan, interferon, mytomycin, erbitux, ifosphomaide, catumaxomab, and ovarex. Many of these other chemotherapies were given as part of a clinical trial and in some cases it was unclear whether participants received placebo or the active agent; cases that were reported to have gotten the placebo were considered to have received no chemotherapy.

DISCUSSION

To our knowledge, this is the first study to assess conditional DFS among patients with OC. Our findings demonstrate that DFS estimates improve dramatically for patients with OC who have already achieved a period of remission and that conditional DFS is a more relevant measure of prognosis for these women. Generally, we observed that DFS improved most for patients who initially had the poorest prognosis. Consistent with results from studies examining conditional OS among patients with OC,36 we found that the initial differences in DFS at time of remission between age, stage, histology, and grade groups diminished over time. This suggests that the prognostic importance of these factors decreases as time in remission increases.

At baseline, we observed significant associations between a large number of the evaluated patient characteristics and risk of recurrence. Our results are in line with previous studies that established these factors as predictors of overall or disease-free survival. The significant characteristics included: family history,18 stage,19,20 primary site,21 grade,19,22,23 histology,20,2124 pretreatment CA-125,25,26 pretreatment pleural effusion,27,28 cytology of ascites/pelvic washings,29,30 pretreatment ascites,20 lymph node involvement,23,3133 residual disease and debulking status after cytoreductive surgery,20,22,24,34 number of chemotherapy cycles before normalization of CA-125,3537 and total number of platinum, taxane, and other chemotherapy cycles received.20,23,38,39 While previous studies have provided conflicting results regarding the role of maintenance chemotherapy in improving overall survival,40,41 risk of recurrence was significantly increased for patients receiving maintenance chemotherapy in our population. It is important to note that maintenance chemotherapy is not considered standard of care for patients with OC and it is possible that in particular women who were at high risk of recurrence were more likely to be prescribed maintenance chemotherapy. Risk of recurrence was also significantly increased among those with persistent disease after primary treatment. However, the number of women with persistent disease after primary treatment was small; most HOPE patients with persistent disease after completion of primary therapy never achieved remission and were therefore excluded from this study. We also evaluated the effect of patient characteristics on subsequent DFS among women who had already been in remission for 1 or 2 years. In these analyses, all factors that were predictive of prognosis at baseline with the exception of pretreatment CA-125 and persistent disease after primary treatment remained significant. This is consistent with the results presented in Figure 2 where the difference in 3-year conditional DFS estimates between the various stage, histology. and grade groups was still large in the first 2 years and suggests that at least in the first 2 years after achieving remission these factors are still of prognostic value.

Follow-up care after treatment for OC is a controversial topic with disagreement over whether increased surveillance for recurrent disease effectively improves OS.1820,42 Although monitoring of CA-125 levels for the early detection of recurrent disease has not resulted in meaningful improvements in OS,21 a study by Oskay-Oezcelik et al43 found that the majority of patients believe routine CA-125 testing was the most important factor in determining their cancer outcomes. This suggests that physician-patient communication regarding the goals and efficacy of follow-up care may be insufficient. Improved measures of recurrence risk, such as conditional DFS estimates, may help clinicians provide more accurate prognostic information to patients. Risk assessment tools that take into account time already in remission should be developed to help inform personalized follow-up treatment plans.

The extensive follow-up information collected from our participants allowed us to estimate 3-year conditional DFS estimates up to 5 years after achieving remission and to examine the impact of many different patient characteristics. Use of the landmark approach16,17 enabled us to explore whether patient characteristics were predictive of subsequent DFS at years 1 and 2 of remission. Our study was further strengthened by a short recruitment period, which limits the possibility that OC outcomes were influenced by changes in standard of care. Although our study included 404 participants in total, the small size of certain subgroups resulted in large CIs and some associations with risk of recurrence may not have been detected due to insufficient power. In addition, as more time elapsed from the date of remission, the number of women in the study, and thus in the subgroups, decreased because they developed a recurrence, died, or became lost to further follow-up, and it is possible that some of the trends observed were due to small patient numbers. Demographic and lifestyle characteristics were collected at time of enrollment and, therefore, do not necessarily reflect the status of the participants throughout treatment and follow-up. In addition, women included in this study were predominantly white and the majority had completed at least some post–high school education and a yearly income of at least $25,000, which does not reflect the general US population and hence may limit the generalizability of our results.

To conclude, DFS estimates for patients with OC improved dramatically over time, in particular among patients with poorer initial prognoses. If confirmed by other studies, future research should focus on the development and validation of prognostic tools that take time in remission into account. More accurate information about risk of recurrence will allow patients and clinicians to make better informed decisions regarding follow-up care after cancer treatment and may also improve quality of life by ameliorating patients' fear of recurrence.

Appendix

Fig A1.

Fig A1.

Traditional disease-free survival curves (Kaplan-Meier curves), stratified by age at remission (A; log-rank test, P = .01) and stage (B; log-rank test, P < .01).

Footnotes

Listen to the podcast by Dr Iasonos at www.jco.org/podcasts

Supported by National Institutes of Health Grant Nos R01 CA095023, R01 CA126841, P30 CA047904, and R25 CA057703.

Presented in part at the American Association for Cancer Research Annual Meeting 2014, April 5-9, 2014, San Diego, CA (abstract LB-273).

Authors' disclosures of potential conflicts of interest are found in the article online at www.jco.org. Author contributions are found at the end of this article.

AUTHORS' DISCLOSURES OF POTENTIAL CONFLICTS OF INTEREST

Disclosures provided by the authors are available with this article at www.jco.org.

AUTHOR CONTRIBUTIONS

Conception and design: Michelle Kurta, Robert Edwards, Francesmary Modugno, Brenda Diergaarde

Collection and assembly of data: Michelle Kurta, Robert Edwards, Kirsten Moysich, Kathleen McDonough, Francesmary Modugno, Clareann Bunker, Roberta Ness, Brenda Diergaarde

Data analysis and interpretation: Michelle Kurta, Robert Edwards, Marnie Bertolet, Joel Weissfeld, Janet Catov, Brenda Diergaarde

Manuscript writing: All authors

Final approval of manuscript: All authors

AUTHORS' DISCLOSURES OF POTENTIAL CONFLICTS OF INTEREST

Prognosis and Conditional Disease-Free Survival Among Patients With Ovarian Cancer

The following represents disclosure information provided by authors of this manuscript. All relationships are considered compensated. Relationships are self-held unless noted. I = Immediate Family Member, Inst = My Institution. Relationships may not relate to the subject matter of this manuscript. For more information about ASCO's conflict of interest policy, please refer to www.asco.org/rwc or jco.ascopubs.org/site/ifc.

Michelle Kurta

No relationship to disclose

Robert Edwards

No relationship to disclose

Kirsten Moysich

No relationship to disclose

Kathleen McDonough

No relationship to disclose

Marnie Bertolet

No relationship to disclose

Joel Weissfeld

No relationship to disclose

Janet Catov

No relationship to disclose

Francesmary Modugno

No relationship to disclose

Clareann Bunker

No relationship to disclose

Roberta Ness

No relationship to disclose

Brenda Diergaarde

No relationship to disclose

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