We sought to describe patterns of initial radiotherapy among non-metastatic prostate cancer (PC) patients by recurrence risk groups.
Medical records were abstracted for a sample of 9017 PC cases diagnosed in 2004 as a part of the Center for Disease Control and Prevention’s Prostate and Breast Patterns of Care Study in seven states. Non-metastatic PC cases are categorized as low-risk (LR), intermediate-risk (IR) or high-risk (HR) groups based on pretreatment PSA, tumor stage, and Gleason score per 2002 NCCN guidelines. Univariate and multivariate analyses were employed to determine factors associated with the type and dose of radiotherapy by the risk groups.
Of the 9,017 patients, 3153 who received definitive radiotherapy either alone or in combination with hormone therapy (HT) were selected for in-depth analysis. Multivariate models showed that LR patients were more likely to receive seed implant brachytherapy (BT) than those in higher risk groups. Those in the IR group were most likely to receive external beam radiotherapy (EBRT) combined with BT or high-dose radiotherapy. Use of HT in combination with radiotherapy was more common in the IR and HR groups than for LR patients. Intensity modulated radiation treatment (IMRT) was used to treat 32.6% of PC patients treated with EBRT, with the majority (60.6%) treated with high-dose radiotherapy.
Radiotherapy types and dosage utilization varied by PC risk groups. Patients in IR were more likely than those in LR or HR to receive high-dose radiotherapy. IMRT was used in about one third of patients to deliver high-dose radiotherapy.
Definitive radiotherapy (RT), either alone or in combination with hormone therapy (HT), has been commonly used to treat patients with non-metastatic prostate cancer in accordance with the National Comprehensive Cancer Network (NCCN) guidelines [
In response to suggestions by the Institute of Medicine [
Prostate cancer patient records were re-abstracted from a stratified sample of incident microscopically-confirmed prostate cancer cases diagnosed in 2004 from seven states (i.e., California, Georgia, Kentucky, Louisiana, Minnesota, North Carolina, and Wisconsin) as part of the CDC’s POC-BP conducted in 2007-2009. Cancer registry data obtained by routine methods [
The sample methodology, the design of the POC-BP study, and an analysis of cancer registry data quality have been reported elsewhere [
Age at diagnosis, race and ethnicity, marital status, and health insurance coverage were abstracted from medical records. Other information pertaining to the patient’s census tract of residence was obtained from 2000 U.S. Census data. The census tract-specific indicators included urbanization (100% urban, 100% rural, urban/rural mix), proportion of individuals in the working class (<66% vs. 66%+), proportion of the population below the federal poverty level (<20% vs. 20%+), and proportion of persons (>25 years of age) without a high school education (<25% vs. 25%+).
Clinical recurrence risk groups were defined according to the NCCN guidelines for Prostate Cancer (version 1.2002) that were in effect at the time these patients were originally diagnosed [
The ACE-27 (Adult Comorbidity Evaluation-27) was used to measure comorbidity burden because of its clinical relevance and sensitivity [
Initial treatment is defined as treatment received within the first six months following pathological diagnosis of prostate adenocarcinoma. In this report, initial RT includes EBRT alone or seed implant brachytherapy (BT) alone or a combination of both with or without HT. High-dose-rate brachytherapy data was not abstracted in all seven states and was therefore excluded for this analysis. The total dose Gray (Gy) administered is abstracted from medical records for patients who completed definitive EBRT only, but the fractionation schedule was unknown. HT is defined as receiving any type of anti-androgen therapy.
Data analyses are performed using statistical software SAS v.9.2, and SUDAAN v.10 that handles complex sample surveys and allows for weighted estimates. Categorical variables are presented as unweighted numbers (nuw), weighted numbers (nw) and percentages (%) of patients. Unadjusted associations of socio-demographic and tumor characteristics with treatment modality are examined by chi-square tests. Multivariable logistic regression models are constructed to investigate the association of initial RT patterns of PC care with the recurrence risk groups. Covariates included in the initial model are the seven registries, patient socio-demographics (age, race and ethnicity, marital status, education, employment, poverty level, urbanization, health insurance) and co-morbidity. Those covariates that do not show significant relationship in the initial model are excluded in the final reported model, except co-morbidity, since it is a clinically important factor that would determine a patient’s treatment. Odds ratios (OR) and 95% confidence intervals (95% CI) were calculated with results considered statistically significant at a two-sided alpha-error level of <0.05.
Among 8,472 patients with non-metastatic PC, 3,153 received definitive radiotherapy, either alone or in combination with HT. The characteristics of study participants are summarized in Table
Patient and tumor characteristics by type of initial radiation treatment
| Total | 100.0 | 8946 (3153) | 26.1 | 54.9 | 17.6 | 1.4 |
| States (p < 0.0001)¶ | | | | | | |
| A | 22.6 | 2025 (502) | 20.9 | 67.1 | 8.3 | 3.7 |
| B | 22.7 | 2028 (906) | 21.2 | 43.9 | 34.1 | 0.8 |
| C | 6.9 | 618 (174) | 30.4 | 59.1 | 9.9 | 0.6 |
| D | 10.0 | 892 (586) | 30.8 | 50.8 | 16.2 | 2.2 |
| E | 8.7 | 776 (251) | 25.7 | 53.0 | 21.3 | 0.0 |
| F | 19.4 | 1739 (433) | 26.7 | 57.4 | 15.9 | 0.0 |
| G | 9.7 | 868 (301) | 40.3 | 49.8 | 8.1 | 1.8 |
| Age (y) (p < 0.0001)¶ | | | | | | |
| 20–59 | 14.7 | 1316 (499) | 27.8 | 43.5 | 27.4 | 1.3 |
| 60–69 | 37.7 | 3375 (1251) | 29.5 | 49.4 | 20.1 | 1.0 |
| 70+ | 47.6 | 4255 (1403) | 22.8 | 62.7 | 12.7 | 1.8 |
| Race (p < 0.0001)¶ | | | | | | |
| White, non-Hispanic | 72.4 | 6478 (1805) | 28.4 | 52.1 | 18.4 | 1.1 |
| Black, non-Hispanic | 19.4 | 1737 (1002) | 20.1 | 61.0 | 18.1 | 0.8 |
| Hispanic | 5.6 | 497 (195) | 19.7 | 65.4 | 7.0 | 7.9 |
| Asians/others | 2.6 | 234 (151) | 18.8 | 63.1 | 16.1 | 2.0 |
| Marital status (p = 0.2000)¶ | | | | | | |
| Single | 22.6 | 1949 (730) | 24.0 | 58.2 | 16.9 | 0.9 |
| Married | 77.4 | 6680 (2317) | 27.0 | 53.2 | 18.3 | 1.5 |
| Education§ (p < 0.0001)¶ | | | | | | |
| Not undereducated | 64.5 | 5751 (1787) | 29.0 | 51.0 | 18.7 | 1.3 |
| Undereducated | 35.5 | 3166 (1357) | 21.0 | 61.7 | 15.6 | 1.7 |
| Working class (p = 0.0075)¶ | | | | | | |
| Not working class | 43.7 | 3893 (1203) | 28.2 | 50.5 | 19.8 | 1.5 |
| Working class | 56.3 | 5025 (1941) | 24.5 | 58.2 | 15.9 | 1.4 |
| Urbanization (p = 0.3671)¶ | | | | | | |
| Urban | 48.5 | 4324 (1468) | 26.4 | 54.7 | 17.2 | 1.7 |
| Rural | 15.4 | 1372 (525) | 23.6 | 59.7 | 15.8 | 0.9 |
| Urban-Rural mix | 36.1 | 3221 (1151) | 26.8 | 52.9 | 18.9 | 1.4 |
| Poverty level (p = 0.0013)¶ | | | | | | |
| Not in poverty level | 81.1 | 7233 (2317) | 27.1 | 53.2 | 18.4 | 1.3 |
| In poverty level | 18.9 | 1685 (827) | 21.7 | 61.9 | 14.4 | 2.0 |
| Health insurance (p = 0.0010)¶ | | | | | | |
| Not insured | 1.3 | 111 (50) | 11.8 | 71.2 | 12.3 | 4.7 |
| Public coverage | 64.2 | 5535 (2009) | 25.1 | 57.6 | 16.4 | 0.9 |
| Private coverage | 30.8 | 2660 (857) | 27.8 | 48.4 | 21.5 | 2.3 |
| Insurance, NOS | 3.7 | 319 (131) | 27.0 | 46.9 | 23.9 | 2.2 |
| Piccirillo comorbidity score (p = 0.2893)¶ | | | | | | |
| None | 28.8 | 2515 (860) | 29.0 | 51.6 | 17.7 | 1.7 |
| Mild | 55.2 | 4816 (1720) | 26.5 | 53.7 | 18.6 | 1.2 |
| Moderate | 12.2 | 1060 (390) | 21.2 | 62.1 | 15.6 | 1.1 |
| Severe | 3.8 | 327 (111) | 22.1 | 56.8 | 18.9 | 2.2 |
| PSA (ng/ml) (p < 0.0001)¶ | | | | | | |
| <10 | 72.1 | 6360 (2199) | 32.7 | 47.9 | 18.3 | 1.1 |
| 10–20 | 18.4 | 1620 (574) | 10.2 | 69.8 | 18.0 | 2.0 |
| >20 | 9.5 | 841 (329) | 5.8 | 78.3 | 13.9 | 2.0 |
| TNM Clinical T stage (p < 0.0001)¶ | | | | | | |
| Tx-T0 | 0.5 | 49 (18) | 9.2 | 84.8 | 3.7 | 2.3 |
| T1 | 64.8 | 5793 (2064) | 31.3 | 51.5 | 16.2 | 1.0 |
| T2 | 31.7 | 2832 (978) | 18.2 | 58.9 | 21.0 | 1.9 |
| T3-T4 | 3.0 | 268 (92) | 0.0 | 80.1 | 16.0 | 3.9 |
| Gleason score (p < 0.0001)¶ | | | | | | |
| 2–6 | 56.6 | 5020 (1732) | 37.5 | 46.4 | 14.7 | 1.4 |
| 7 | 31.9 | 2836 (1020) | 13.0 | 62.8 | 22.9 | 1.3 |
| 8-10 | 11.5 | 1023 (375) | 3.9 | 75.4 | 18.6 | 2.1 |
| Recurrence risk group (p < 0.0001)¶ | | | | | | |
| LR | 41.2 | 3684 (1257) | 45.2 | 39.9 | 13.8 | 1.1 |
| IR | 40.1 | 3583 (1261) | 16.1 | 60.0 | 22.5 | 1.4 |
| HR | 18.8 | 1680 (635) | 5.2 | 76.8 | 15.7 | 2.3 |
(*) Column percentages based on weighted number of patients.
(†) Weighted number of patients, with unweighted number in parentheses.
(‡) Row percentages based on weighted number of patients.
(§) Included those with no RT, had RT but with unknown modality, and unknown if they had RT.
(¶) p-values (Chi-square test to measure of association between RT treatment and each of socio-demographic/clinical variables).
There was no significant relationship (p = 0.2893) between comorbidity severity and RT modality (Table
Among patients receiving initial RT, 41.2%, 40.1%, and 18.8% were in the LR, IR and HR groups, respectively. LR patients were more likely to receive BT, while EBRT was more likely to occur among those in the IR and HR groups. Receipt of EBRT+BT, suggestive of high-dose RT, was most common in the IR group.
Detailed information on receipt of EBRT, EBRT+BT or BT with/without HT by characteristics of patients is summarized in Table
Comorbidity and tumor characteristics of patient by initial radiation treatment modality during the 6 months after diagnosis
| Total | 24.5 | 30.4 | 10.5 | 7.1 | 17.9 | 8.2 | 1.4 |
| Piccirillo comorbidity score (nw = 8718, p = 0.5183)† | | | | | | | |
| None | 28.5 | 26.6 | 31.0 | 24.6 | 33.9 | 26.7 | 35.3 |
| Mild | 54.4 | 54.9 | 55.0 | 60.2 | 52.9 | 60.9 | 49.3 |
| Moderate | 12.9 | 14.8 | 10.5 | 10.6 | 10.1 | 9.1 | 9.6 |
| Severe | 4.2 | 3.7 | 3.5 | 4.6 | 3.1 | 3.3 | 5.8 |
| PSA (ng/ml) (nw = 8822, p < 0.0001)† | | | | | | | |
| <10 | 76.3 | 52.2 | 83.0 | 60.9 | 92.7 | 86.3 | 59.0 |
| 10–20 | 20.5 | 25.7 | 13.6 | 25.8 | 5.9 | 10.1 | 27.0 |
| >20 | 3.2 | 22.1 | 3.4 | 13.3 | 1.4 | 3.6 | 14.0 |
| Clinical T stage (nw = 8941, p < 0.0001)† | | | | | | | |
| Tx-T0 | 0.8 | 0.9 | 0.0 | 0.3 | 0.1 | 0.4 | 0.9 |
| T1 | 70.5 | 53.0 | 66.3 | 49.4 | 77.0 | 79.2 | 46.7 |
| T2 | 27.4 | 39.2 | 32.4 | 45.5 | 22.9 | 20.4 | 44.1 |
| T3-T4 | 1.3 | 6.9 | 1.3 | 4.8 | 0.0 | 0.0 | 8.3 |
| Gleason score (nw = 8879, p < 0.0001)† | | | | | | | |
| 2–6 | 66.7 | 32.3 | 56.4 | 32.6 | 84.6 | 76.7 | 55.1 |
| 7 | 29.5 | 42.2 | 38.0 | 46.0 | 14.0 | 20.7 | 27.9 |
| 8–10 | 3.8 | 25.5 | 5.6 | 21.4 | 1.4 | 2.6 | 17.0 |
| Recurrence risk group (nw = 8946, p < 0.0001)† | | | | | | | |
| LR | 46.7 | 16.5 | 43.9 | 15.0 | 75.4 | 62.7 | 31.2 |
| IR | 46.1 | 41.8 | 47.3 | 56.7 | 21.8 | 31.4 | 38.8 |
| HR | 7.2 | 41.7 | 8.8 | 28.3 | 2.8 | 5.9 | 30.0 |
(*) Column percentages based on weighted number of patients, except the first row (Total) which was a row percentage.
(†) p-values (Chi-square test to measure of association between each of comorbidity/tumor characteristics variables and initial treatment modality).
Significant differences are also observed across the recurrence risk groups in the percent of patients receiving RT alone versus RT+HT (Table
Multivariate logistic models were constructed to measure the relationship between RT modality and recurrence risk groups, adjusting for comorbidity and sociodemographic factors (Figure
Multivariate logistic models.
The total dose of EBRT received (<70 Gy, 70-74 Gy, or ≥75 Gy) by sociodemographic, clinical and tumor characteristics, and recurrence risk group are shown in Table
Patient and tumor characteristics by a total dose of external beam radiation therapy (EBRT) alone
| | ||||||
|---|---|---|---|---|---|---|
| Total‡, n = 4611 (1636) | 53.0 | 2444 (920) | 25.0 | 1152 (382) | 22.0 | 1015 (334) |
| States (p < 0.0001)§ | | | | | | |
| A | 32.2 | 369 (100) | 41.5 | 476 (125) | 26.3 | 302 (69) |
| B | 74.3 | 645 (293) | 9.8 | 85 (39) | 15.9 | 138 (69) |
| C | 58.5 | 204 (57) | 27.5 | 96 (28) | 14.0 | 49 (13) |
| D | 57.7 | 253 (166) | 26.7 | 117 (78) | 15.6 | 68 (45) |
| E | 46.2 | 188 (74) | 13.0 | 53 (19) | 40.8 | 167 (48) |
| F | 59.5 | 584 (157) | 22.4 | 221 (52) | 18.1 | 177 (50) |
| G | 48.0 | 201 (73) | 24.8 | 104 (41) | 27.2 | 114 (40) |
| Age (y) (p = 0.0156)§ | | | | | | |
| 20–59 | 64.6 | 345 (131) | 15.2 | 81 (33) | 20.2 | 108 (37) |
| 60–69 | 53.5 | 837 (338) | 25.5 | 400 (141) | 21.0 | 330 (127) |
| 70+ | 50.3 | 1262 (451) | 26.7 | 671 (208) | 23.0 | 577 (170) |
| Race (p < 0.0001)§ | | | | | | |
| White, non-hispanic (NH) | 53.5 | 1706 (508) | 24.4 | 777 (190) | 22.1 | 703 (183) |
| Black, NH | 59.8 | 603 (332) | 21.2 | 213 (123) | 19.0 | 191 (106) |
| Hispanic | 32.1 | 93 (52) | 38.8 | 112 (38) | 29.1 | 84 (23) |
| Asians/others | 32.9 | 42 (28) | 38.5 | 50 (31) | 28.6 | 37 (22) |
| Marital status (p = 0.8262)§ | | | | | | |
| Single | 55.0 | 586 (238) | 23.8 | 253 (92) | 21.2 | 225 (84) |
| Married | 53.2 | 1773 (649) | 23.8 | 795 (263) | 23.0 | 766 (243) |
| Education¶ (p = 0.0279)§ | | | | | | |
| Not undereducated | 50.8 | 1417 (481) | 24.6 | 685 (200) | 24.6 | 688 (195) |
| Undereducated | 56.3 | 1014 (435) | 25.8 | 464 (181) | 17.9 | 323 (138) |
| Working class (p = 0.0910)§ | | | | | | |
| Not working class | 48.9 | 908 (312) | 26.3 | 487 (133) | 24.8 | 461 (127) |
| Working class | 55.7 | 1522 (604) | 24.2 | 662 (248) | 20.1 | 550 (206) |
| Urbanization (p = 0.0293)§ | | | | | | |
| Urban | 47.6 | 1023 (400) | 28.3 | 608 (200) | 24.1 | 519 (165) |
| Rural | 57.4 | 454 (165) | 22.7 | 179 (64) | 19.9 | 157 (57) |
| Urban-Rural mix | 57.8 | 954 (351) | 21.9 | 362 (117) | 20.3 | 335 (111) |
| Poverty level (p = 0.0255)§ | | | | | | |
| Not in poverty level | 51.6 | 1870 (644) | 24.9 | 904 (268) | 23.5 | 852 (254) |
| In poverty level | 58.1 | 561 (272) | 25.4 | 245 (113) | 16.5 | 159 (79) |
| Health insurance (p = 0.0036)§ | | | | | | |
| Not insured | 58.7 | 46 (22) | 22.7 | 18 (6) | 18.6 | 14 (7) |
| Public coverage | 56.9 | 1732 (664) | 20.9 | 637 (229) | 22.2 | 674 (232) |
| Private coverage | 45.1 | 519 (179) | 36.4 | 418 (117) | 18.5 | 212 (65) |
| Insurance, NOS | 61.6 | 87 (33) | 16.5 | 23 (11) | 21.9 | 31 (10) |
| Piccirillo comorbidity score (p = 0.0800)§ | | | | | | |
| None | 50.5 | 613 (221) | 25.5 | 310 (94) | 24.0 | 291 (88) |
| Mild | 52.2 | 1273 (492) | 24.8 | 604 (213) | 23.0 | 560 (188) |
| Moderate | 60.3 | 378 (143) | 19.1 | 120 (44) | 20.6 | 129 (42) |
| Severe | 65.1 | 119 (46) | 23.4 | 43 (11) | 11.5 | 21 (10) |
| PSA (ng/ml) (p = 0.0016)§ | | | | | | |
| <10 | 50.0 | 1446 (533) | 27.3 | 787 (256) | 22.7 | 656 (210) |
| 10–20 | 53.7 | 556 (215) | 21.2 | 220 (74) | 25.1 | 259 (81) |
| >20 | 65.1 | 408 (158) | 21.0 | 131 (49) | 13.9 | 87 (40) |
| Clinical T stage (p = 0.1833)§ | | | | | | |
| Tx-T0 | 26.1 | 9 (4) | 24.3 | 9 (4) | 49.6 | 18 (5) |
| T1 | 52.1 | 1477 (569) | 26.2 | 741 (252) | 21.7 | 613 (197) |
| T2 | 53.7 | 825 (299) | 24.4 | 376 (115) | 21.9 | 336 (115) |
| T3-T4 | 64.4 | 133 (48) | 12.8 | 26 (11) | 22.8 | 47 (17) |
| Gleason score (p = 0.0007)§ | | | | | | |
| 2–6 | 46.9 | 1033 (385) | 30.5 | 670 (218) | 22.6 | 498 (163) |
| 7 | 57.6 | 958 (361) | 20.5 | 341 (115) | 21.9 | 365 (119) |
| 8–10 | 61.4 | 441 (169) | 17.8 | 128 (46) | 20.8 | 150 (50) |
| Recurrence risk group (p = 0.0001)§ | | | | | | |
| LR | 44.3 | 620 (229) | 34.0 | 477 (155) | 21.7 | 304 (101) |
| IR | 53.8 | 1071 (401) | 21.9 | 435 (143) | 24.3 | 484 (150) |
| HR | 61.8 | 753 (290) | 19.7 | 241 (84) | 18.5 | 226 (83) |
(*) Row percentages based on weighted number of patients.
(†) Weighted number of patients, with unweighted number in parentheses.
(‡) Excluded 101 patients (unweighted) who did not have information on EBRT dose.
(§) p-values (Chi-square test to measure of association between EBRT dose and each of socio-demographic/clinical variables).
Relationship between total EBRT dose and EBRT modality
| non-IMRT | 69.8* | 77.4 | 32.0 |
| IMRT | 26.7 | 22.6 | 60.6 |
| Unknown | 3.5 | 0.0 | 7.4 |
| Totals | 100.0 | 100.0 | 100.0 |
(*) weighted%.
The percent of patients receiving different levels of radiation dose varied among regions and states. The proportion of men receiving the high dose (≥75 Gy) varied from a high of 41% in Region E to a low of 14% in Region C (p < 0.0001). The dose received was not related to marital status or proportion of working class residents in the patient’s census tract; however, those in areas with population indicators reflecting a higher socioeconomic status (i.e., higher proportion of persons with at least a high school degree and lower proportion living under the poverty level) as well as those living in an urbanized area were more likely to receive a high dose of ≥75 Gy (p < 0.03). Clinical T stage and ACE-27 comorbidity score were not associated with level of total EBRT dose administered; however, patients with high pre-treatment PSA of >20 were less likely to receive high dose EBRT than their counterparts with lower pre-treatment PSA of ≤ 20 (p = 0.0016). Higher Gleason score was associated with a higher percentage of low dose EBRT and less medium dose EBRT (70-74 Gy) [p = 0.0007]. The percentages of high dose EBRT were similar across the Gleason score groups.
Total dose received also varied significantly across the recurrence risk groups (p = 0.0001) (Table
The association of PC treatment with clinical factors such as PSA, GS and clinical T stage or modified risk groups has been reported previously for PC cases diagnosed in 1997 [
The results of this study reflect the major changes in the radiotherapeutic management of localized PC in the United States that have occurred. RT planning and delivery systems have become more sophisticated and precise, and have moved from conventional RT to IMRT. IMRT is able to deliver a much higher conformal dose to tumor targets than conventional RT through modulation of radiation beam intensities in many different fields [
Long-term results of various randomized trials from the cooperative groups including the Radiation Therapy Oncology Group (RTOG) and the European Organization for the Research and Treatment of Cancer have indicated clear advantages of combining RT with HT for patients with high-risk localized PC [
One of the limitations of our study is the possible underreporting of radiation and hormone treatment derived from the registry data or data re-abstraction. In addition, use of life expectancy as a key decision making factor in determining the NCCN guideline care could not be addressed in our analyses.
This is the largest patterns of care study to describe specific types and doses of radiotherapy used to treat prostate cancer patients in different NCCN recurrence risk groups using state registry data. We found the use of seed implant brachytherapy to be more common in PC patients with low risk factors compared to patients in the intermediate to high-risk groups, while radiotherapy combined with hormone therapy was used more often in patients with higher risk factors than in patients with low risk group. High dose RT (≥75 Gy EBRT or EBRT combined with seed implant brachytherapy) was more often given to patients in the intermediate risk group than to low-risk or high-risk patients. IMRT has been increasingly accepted as the radiotherapy of choice and is often used to deliver high-dose EBRT. The results of this study provide a basis for assessing the use of radiation therapy and for monitoring trends in its delivery.
PC: Prostate cancer; IMRT: Intensity modulated radiation treatment; LR: Low risk; IR: Intermediate risk; HR: High risk; NCCN: National comprehensive cancer network; HT: Hormone therapy; BT: Brachytherapy; EBRT: External beam radiotherapy; NPCR: National program of cancer registries; CDC: Center for disease control and prevention; POC BP: Prostate cancer data quality and patterns of care study; PSA: Prostate specific antigen; GS: Gleason score; ACE-27: Adult comorbidity evaluation-27; Gray: Gy; CI: Confidence intervals; OR: Odds ratios.
The authors declare that they have no competing interests.
DW carried out the design of the study, participated in data analysis and drafted manuscript. AH participated in the design of the study, and helped with data analysis. ASH participated in the design of the study, contributed to the data collection, and revised the manuscript critically for important intellectual content. XCW participated in the design of this study, contributed to the data collection and revised the manuscript critically for important intellectual content. ML participated in the design of the study and helped with the data analysis. SF participated in the design of the study, contributed to the data collection, and revised the manuscript critically for important intellectual content. MG participated in the study design, contributed to the data collection and revised manuscript critically for important intellectual content. TT participated in the design and coordination of the study, and revised the manuscript critically for important intellectual content. JO participated in the design and coordination of the study, and helped draft the manuscript and revised the manuscript critically for important intellectual content. All authors read and approved the final manuscript.
In the past five years have you received reimbursements, fees, funding, or salary from an organization that may in any way gain or lose financially from the publication of this manuscript, either now or in the future? Is such an organization financing this manuscript (including the article-processing charge)? If so, please specify.
Authors acknowledged that the Breast and Prostate Cancer Data Quality and Patterns of Care Study was supported by the Centers for Disease Control and Prevention through cooperative agreements with the California Cancer Registry (Public Health Institute) (1-U01-DP000260), Emory University (1-U01-DP000258), Louisiana State University Health Sciences Center (1-U01-DP000253), Minnesota Cancer Surveillance System (Minnesota Department of Health) (1-U01-DP000259), Medical College of Wisconsin (1-U01-DP000261), University of Kentucky (1-U01-DP000251), NC Central Cancer Registry (U55/CCU421885) and Wake Forest University (1-U01-DP000264). The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention.
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