| Literature DB >> 35462343 |
Libo Yang1, Mengjia Shen1, Yan Qiu1, Tingting Tang1, Hong Bu2.
Abstract
BACKGROUND: We aimed to analyse the discrepancy in clinical features and prognosis between molecular subtypes in primary ductal carcinoma in situ (DCIS) patients with lumpectomy.Entities:
Keywords: Ductal Carcinoma in situ; Lumpectomy; Molecular subtype; Recurrence
Mesh:
Substances:
Year: 2022 PMID: 35462343 PMCID: PMC9039875 DOI: 10.1016/j.breast.2022.03.019
Source DB: PubMed Journal: Breast ISSN: 0960-9776 Impact factor: 4.254
Fig. 1Flowchart in this study. (Abbreviations: DCIS, ductal carcinoma in situ; N, number; ER, estrogen receptor; PR, progesterone receptor; HER2, human epidermal growth factor receptor-2; HR, hormone receptor.)
Clinical characteristics by molecular subtypes.
| Characteristics | N (%) | HR-HER2-(N (%)) | HR-HER2+ (N (%)) | HR+HER2+ (N (%)) | HR+HER2-(N (%)) | Chi square | |
|---|---|---|---|---|---|---|---|
| 13.242 | 0.004 | ||||||
| 2010–2013 | 3,517 (62.5) | 214 (71.6) | 296 (59.4) | 687 (63.3) | 2,320 (61.9) | ||
| 2014–2017 | 2,111 (37.5) | 85 (28.4) | 202 (40.6) | 399 (36.7) | 1,425 (38.1) | ||
| 37.427 | <0.001 | ||||||
| ≤60 | 2,805 (49.8) | 124 (41.5) | 254 (51.0) | 623 (57.4) | 1,804 (48.2) | ||
| >60 | 2,823 (50.2) | 175 (58.5) | 244 (49.0) | 463 (42.6) | 1,941 (51.8) | ||
| 26.536 | <0.001 | ||||||
| African American | 789 (14.0) | 56 (18.7) | 41 (8.2) | 135 (12.4) | 557 (14.9) | ||
| Caucasian | 4,404 (78.3) | 220 (73.6) | 420 (84.3) | 876 (80.7) | 2,888 (77.1) | ||
| Other | 435 (7.7) | 23 (7.7) | 37 (7.4) | 75 (6.9) | 300 (8.0) | ||
| 71.106 | <0.001 | ||||||
| <16 | 3,918 (69.6) | 185 (61.9) | 281 (56.4) | 732 (67.4) | 2,720 (72.6) | ||
| 16–40 | 1,377 (24.5) | 98 (32.8) | 172 (34.5) | 284 (26.2) | 823 (22.0) | ||
| >41 | 333 (5.9) | 16 (5.4) | 45 (9.0) | 70 (6.4) | 202 (5.4) | ||
| 1,093.189 | <0.001 | ||||||
| Low | 964 (17.1) | 11 (3.7) | 6 (1.2) | 67 (6.2) | 880 (23.5) | ||
| Intermediate | 2,304 (40.9) | 63 (21.1) | 54 (10.8) | 356 (32.8) | 1,831 (48.9) | ||
| High | 2,360 (41.9) | 225 (75.3) | 438 (88.0) | 663 (61.0) | 1,034 (27.6) | ||
| 322.407 | <0.001 | ||||||
| Intraductal, solid | 2,240 (39.8) | 128 (42.8) | 221 (44.4) | 484 (44.6) | 1,407 (37.6) | ||
| Comedo necrosis | 599 (10.6) | 73 (24.4) | 121 (24.3) | 142 (13.1) | 263 (7.0) | ||
| Cribriform | 525 (9.3) | 9 (3.0) | 16 (3.2) | 58 (5.3) | 442 (11.8) | ||
| Other | 2,264 (40.2) | 89 (29.8) | 140 (28.1) | 402 (37.0) | 1,633 (43.6) | ||
| 47.361 | <0.001 | ||||||
| Yes | 4,040 (71.8) | 243 (81.3) | 390 (78.3) | 824 (75.9) | 2,583 (69.0) | ||
| No | 1,588 (28.2) | 56 (18.7) | 108 (21.7) | 262 (24.1) | 1,162 (31.0) | ||
| 426.311 | <0.001 | ||||||
| Low risk | 3,549 (63.1) | 142 (47.5) | 171 (34.3) | 536 (49.4) | 2,700 (72.1) | ||
| High risk | 2,079 (36.9) | 157 (52.5) | 327 (65.7) | 550 (50.6) | 1,045 (27.9) | ||
Abbreviations: N, numbers; HR, hormone receptor; HER2, human epidermal growth factor receptor-2.
Note: * Prognostic score is a scoring method by age, tumor size, and grade to stratify DCIS patients into low-risk and high-risk group.
Fig. 2Ipsilateral breast event (IBE) and disease-specific (DS) mortality in each molecular subtype. A. IBE; B. DS mortality. (Abbreviations: IBE, ipsilateral breast event; DS, disease specific; HR, hormone receptor; HER2, human epidermal growth factor receptor-2. Note: P value was calculated by log-rank test.)
Comparing risk of ipsilateral breast event (IBE) and disease-specific (DS) mortality among four molecular subtypes in multivariate analyses.
| Molecular Subtype | Estimated 5-year incidence | Cox proportional hazards | Fine & Gray competing risks | |||
|---|---|---|---|---|---|---|
| *HR (95% CI) | *HR (95% CI) | |||||
| 1.9% | 1.326 (0.608–2.890) | 0.479 | 1.319 (0.604–2.877) | 0.490 | ||
| 3.7% | 1.945 (1.079–3.506) | 0.027 | 1.940 (1.057–3.430) | 0.032 | ||
| 2.3% | 1.140 (0.701–1.852) | 0.598 | 1.140 (0.702–1.852) | 0.670 | ||
| 1.4% | 1 (referent) | – | 1 (referent) | – | ||
| 1.1% | 3.410 (0.946–11.300) | 0.061 | 3.470 (0.967–12.500) | 0.056 | ||
| 0.2% | 1.750 (0.374–8.192) | 0.477 | 1.770 (0.376–8.280) | 0.470 | ||
| 0.2% | 1 (referent) | – | 1 (referent) | – | ||
| 0.5% | 1.440 (0.441–4.698) | 0.546 | 1.440 (0.443–4.710) | 0.540 | ||
Abbreviations: *HR, hazard ratio; CI, confidence interval; IBE, ipsilateral breast event; DS, disease specific; HR, hormone receptor; HER2, human epidermal growth factor receptor-2.
Note: Multivariate analyses in Cox proportional hazards regression model and Fine & Gray competing risks regression model were adjusted by year of diagnosis, age, race, tumor size, grade, histology subtype, and radiotherapy.
Fig. 3Effects of radiotherapy on ipsilateral breast event (IBE) in each molecular subtype. IBE in HR-HER2- (A), HR-HER2+ (B), HR+HER2+ (C), and HR+HER2- (D). (Abbreviations: IBE, ipsilateral breast event; HR, hormone receptor; HER2, human epidermal growth factor receptor-2. Note: P value was calculated by log-rank test.)
Radiotherapy effects on ipsilateral breast event (IBE) in each molecular subtype.
| Molecular | Events/No. of cases | 5-year IBE incidence (%) | Weighted Cox proportional hazards | Non-weighted Cox proportional hazards | Fine & Gray competing risks | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| RT | Non-RT | RT | Non-RT | *HR (95% CI) | *HR (95% CI) | *HR (95% CI) | ||||
| HR-HER2- | 6/243 | 2/56 | 1.9 | 1.8 | 0.768 (0.196–3.027) | 0.708 | 0.548 (0.133–2.264) | 0.406 | 0.642 (0.146–2.820) | 0.560 |
| HR-HER2+ | 14/390 | 4/108 | 3.6 | 4.1 | 1.131 (0.304–4.202) | 0.855 | 0.903 (0.298–2.740) | 0.858 | 0.954 (0.321–2.840) | 0.930 |
| HR+HER2+ | 16/824 | 8/262 | 2.0 | 3.5 | 0.530 (0.210–1.342) | 0.181 | 0.597 (0.233–1.527) | 0.282 | 0.616 (0.242–1.570) | 0.310 |
| HR+HER2- | 35/2,583 | 36/1,162 | 0.9 | 2.6 | 0.334 (0.207–0.539) | <0.001 | 0.346 (0.213–0.561) | <0.001 | 0.355 (0.219–0.577) | <0.001 |
Abbreviations: RT, radiotherapy; HR, hazard ratio; CI, confidence interval; IBE, ipsilateral breast event; HR, hormone receptor; HER2, human epidermal growth factor receptor-2.
*Note: In weighted Cox proportional hazards regression model, cases were weighted by inverse propensity score. These three multivariate regression models were adjusted by year of diagnosis, age, race, tumor size, grade, and histology subtype.