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. 2019 Nov 4;22(4):497–521. doi: 10.4048/jbc.2019.22.e49

Table 2. Selected studies assessing the prognostic value of RCB.

Study (year) Ref. Study design Sample size and NACT regimens BC subtypes Biomarker Prognostic value
Symmans et al. (2017) [27] Prospective cohort study Total (n = 1,158) All RCB0 (pCR) vs. RCB1 vs. RCB2 vs. RCB3 Combined T/FAC cohort:
- CT only: n = 955 In combined T/FAC cohort: TNBC:
- CT + H (H + T/FEC cohort): n = 203 HER2+ (n = 103) RFS (10-year): 86% vs. 81% vs. 55% vs. 23%, p < 0.01
TNBC (n = 219) HR-positive/HER2-negative:
HR+/HER2 (n = 501) RFS (10-year): 83% vs. 97% vs. 74% vs. 52%, p < 0.01
In H+T/FEC cohort: H + T/FEC cohort:
HR+/HER2+ (n = 108) RFS (10-year): 95% vs. 77% vs. 47% vs. 21%, p < 0.01
HR/HER2+ (n = 95) Prognostic value were similar for both 5-year RFS and 5/10-year OS (RCB0/1 were significantly better than RCB2 or RCB3 in all treatment cohorts and breast cancer subtypes).
Campbell et al. (2017) [32] Prospective cohort study Total (n = 162) All Continuous RCB score TNBC: RFS: p < 0.0001
- CT only HR+/HER2: RFS: p = 0.0053
HER2+: RFS: p = 0.0091
Categorical RCB score pCR vs. RCB1 vs. RCB2 vs. RCB3:
RFS (5-year): 86% vs. 85% vs. 75% vs. 41%, p < 0.0001
RCB 3 vs. RCB 0/1/2:
Hazard ratio, 3.37; 95% CI, 1.96–5.80; p < 0.0001
Asano et al. (2017) [29] Retrospective analysis Total (n = 177) All RCB-TILs-positive (RCB-I and positive for TILs) versus RCB-TILs-negative RCB-TILs-positive is better for recurrence in all patients
- CT only TNBC (n = 61) DFS: 51% vs. 22%, hazard ratio, 0.048; 95% CI, 0.012–0.188; p < 0.001
- CT + H HER2+ (n = 36) OS: 51% vs. 25%, p = 0.005
HRBC (n = 80)
Sharma et al. (2018) [117] Prospective cohorts study Total (n = 183) TNBC RCB classes RCB0 vs. RCB1: Similar 3-year RFS (90% vs. 93%) and 3-year OS (94% vs. 100%)
- CT only RCB2 vs. RCB3: RCB2 better
RFS: hazard ratio, 4.70 (95% CI, 1.97–11.20), p < 0.0001
OS: hazard ratio, 4.34 (95% CI, 1.59–11.84), p = 0.002
RCB0/1 vs. RCB2/3: RCB0/1 better
RFS (3-year): 91% vs. 59%, p < 0.0001
OS (3-year): 95% vs. 75%, p < 0.0001
Luen et al. (2019) [30] Prospective study Total (n = 375) TNBC with residual disease after NACT RCB index Increasing RCB index was significantly associated with worse RFS (p < 0.001) and worse OS (p < 0.001)
- CT only RCB1 vs. RCB2 vs. RCB3 RFS (3-year): 86% vs. 67% vs. 26%, p < 0.001
Sheri et al. (2014) [31] Retrospective analysis Total (n = 220) All Residual proliferative cancer burden (RPCB): Tertile 1 vs. Tertile 3:
- CT only Tertile 1 (score 0–2.8) vs. Tertile 2 (score 2.8–3.72) vs. Tertile 3 (score > 3.72) RFS: 83% vs. 34%
OS: 93% vs. 46%
RPCB was significantly more prognostic than either RCB or Ki-67 alone, p < 0.001
Addition of post-treatment grade and ER further improved the prediction of outcomes
Romero et al. (2013) [118] Independent prospective cohort study Total (n = 151) All RCB classes and RCB index RCB0 vs. RCB1 vs. RCB2 vs. RCB3:
- CT only: n = 105 OS(5-year): 100% vs. 86.7% vs. 86.7% vs. 54.7%
- CT + H: n = 46 RFS(5-year): 78.1% vs. 66% vs. 77.5% vs. 32.2%
RCB3 vs. RCB0-2: RCB0-2 better
OS: hazard ratio, 4.240, p < 0.0001
RFS: hazard ratio, 3.859, p < 0.0001

RCB = residual cancer burden; NACT = neoadjuvant chemotherapy; BC = breast cancer; CT = chemotherapy; H = trastuzumab; T = taxanes; F = 5-fluorouracil; E = epirubicin; C = cyclophosphamide; A= adriamycin; HER2 = human epidermal growth factor receptor 2; TNBC = triple negative breast cancer; HR = hormone receptor; RFS = recurrence free survival; OS = overall survival; CI = confidence interval; HRBC = hormone receptor-positive breast cancer; TILs = tumor infiltrating lymphocytes; ER = estrogen receptor; PR = progesterone receptor.