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©The Author(s) 2024.
World J Clin Oncol. Jul 24, 2024; 15(7): 920-935
Published online Jul 24, 2024. doi: 10.5306/wjco.v15.i7.920
Published online Jul 24, 2024. doi: 10.5306/wjco.v15.i7.920
Ref. | Data collection | Recruitment period | Sample size | Age in yr, median/mean (range) | TNM stage | Neoadjuvant regimen | Number of high/middle TILs as %, cut-off, and method | End point and pCR standard | Number of overall pCR as % | pCR rates as high TILs vs low TILs | OR or RR |
Cerbelli et al[36], Germany | Retrospective consecutive cohort | 2011.6-2017.6 | 61 | 50 (28-74) | T1: 8; T2: 46; T3: 3; T4: 4; N0: 32; N1-N3: 29 | AC×4 (Q3W) →T×12 (QW) | 49 (17/32) (80.3), (50%) 10%, HE | pCR, ypT0 | 23 (37.7) | 18 (36.7) vs 5 (41.7) | OR: [U] 0.41 (0.17-0.95), 0.037; [M] 2.39 (0.96-5.96), 0.062 |
Galvez et al[17], Peru | Retrospective cohort | 2003.1-2014.12 | 435 | 49 (24-84) | II: 72, III: 363; | AC×4 (Q3W) →T×12 (QW) | 181 (41.6), 50%, HE | pCR, ypT0 | 46 (11.0) | 26 (14.4) vs 20 (7.9) | NR |
Abdelrahman et al[39], Egypt | Prospective cohort | 2017.1-2019.5 | 50 | 45 (22-72) | T1: 20; T2: 30; N0: 18; N1-N3: 32 | AC→T | 14 (28.0), 50%, HE | pCR, ypT0 | 20 (40.0) | 10 (71.4) vs 10 (27.8) | NR |
Jung et al[53], Korea | Retrospective cohort | 2009.1-2014.12 | 143 | NR | T1-T2: 91; T3: 52; N0: 64; N1-N3: 79 | AC→T | 74 (51.7), 30%, HE | pCR, ypT0 | 66 (46.2) | 43 (58.1) vs 23 (33.3) | OR: [U] 2.774 (1.404-5.481), 0.003; [M] 3.484 (1.407-8.627), 0.007 |
Russo et al[47], Venezuela | Retrospective cohort | 2008-2013 | 41 | NR | II: 80, III: 107; | AC→T | 14 (34.1), 30%, HE | pCR, ypT0 | 15 (36.6) | 11 (78.6) vs 4 (14.8) | OR: [U] 8.85 (3.62-21.66), 0.001 |
Vicent et al[48], Spain | Retrospective cohort | 1998-2015 | 164 | 49 (29-81) | II: 63, III: 37 | AC×4 (Q3W) →T×12 (QW) | 58 (35.4), 40%, HE | pCR, ypT0/is, ypN0 | 61 (37.2) | 51 (88.0) vs 10 (9.0) | NR |
Ochi et al[32], Japan | Retrospective consecutive cohort | 2001-2009 | 80 | 52 (27-75) | NR | AC→T | 55 (19/36) (68.8), (50%) 10%, HE | pCR, ypT0 | 25 (31.3) | 24 (43.6) vs 1 (4.0) | NR |
Bockstal et al[49], Belgium | Retrospective consecutive cohort | 2015.1-2020.3 | 35 | 55.8 ± 13.3 | NR | AC→T | 10 (28.6), 40%, HE | pCR, ypT0 | 13 (37.1) | 8 (80.0) vs 5 (20.0) | NR |
Rangan et al[43], India | NR | NR | 75 | NR | T1-T3: 49; T4: 26; N0: 36; N1-N3: 39 | NR | 57 (76.0), 50%, HE | pCR, ypT0 | 27 (36.0) | 25 (43.9) vs 2 (11.1) | OR: [U] 6.25 (1.312-29.763), 0.025 |
Pang et al[18], ChiNR | Retrospective cohort | 2010.1-2018.12 | 310 | NR | T1-2: 298; T3-4: 97 | AC→T | 177 (85/92) (57.1), (20%) 10%, HE | pCR, ypT0 | 88 (28.4) | 53 (31.1) vs 33 (34.5) | NR |
Zhang et al[52], America | Retrospective cohort | 2005-2016 | 58 | 46 (24-64) | T1: 7; T2-T4: 51; N0: 30; N1-N3: 28 | AC×4 (Q3W) →T×12 (QW) | 17 (29.3), 60%, HE | pCR, ypT0 | 26 (44.8) | 12 (70.6) vs 14 (34.1) | NR |
Zhao et al[50], ChiNR | Retrospective cohort | 2017-2018 | 126 | 50.1 ± 11.2 | T1: 78; T2-T3: 48; N0: 74; N1-N3: 52 | AC→T | 42 (33.3), 40%, HE | pCR, ypT0 | 76 (60.3) | 38 (90.5) vs 38 (45.2) | NR |
Cerbelli et al[40], Italy | Retrospective consecutive cohort | 2011.1-2016.12 | 54 | 50 (28-75) | T1: 7; T2-T4: 47; N0: 24; N1-N3: 30 | AC×4 (Q3W) →T×12 (QW) | 22 (40.7), 50%, HE | pCR, ypT0/is, N0 | 19 (35.2) | 11 (50.0) vs 8 (25.0) | OR: [U] 1.61 (0.40-6.52), 0.025 |
Rao et al[30], ChiNR | Retrospective consecutive cohort | 2009.7-2014.6 | 52 | 46.9 (23-67) | II: 34, III: 16; | TAC | 21 (40.4), CD8: ≥ 0.15, HE | pCR, ypT0 DFS OS | 14 (26.9) | CD8: 10 (47.6) vs 4 (12.9) | CD8 OR: [U] 6.14 (1.6-23.8), 0.010 |
Lusho et al[28], Japan | Retrospective consecutive cohort | 2008-2019 | 120 | 56 (28-86) | NR | TAC | 18 (15.0), 30%, HE | pCR, ypT0/Tis ypN0 | 34 (28.3) | 10 (55.6) vs 24 (23.5) | NR |
Hida et al[37], Japan | Retrospective cohort | 2007-2014 | 48 | 56 (22-79) | T1: 93; T2: 59; T3: 2; N0: 98; N1-N3: 56 | AC×4 (Q3W) →T×12 (QW) | 31 (11/20) (64.6), (50%) 10%, HE | pCR, ypT0/is, ypN0 | 21 (43.8) | 18 (58.0) vs 3 (17.6) | NR |
Hida et al[27], Japan | Retrospective consecutive cohort | 2007-2014 | 80 | NR | N0: 56; N1-N3: 24 | TAC | 23 (28.8), 50%, HE | pCR, ypT0/is, N0 | 28 (35.0) | 12 (52.2) vs 16 (28.1) | NR |
Kolberg et al[51], Germany | Retrospective cohort | NR | 311 | NR | NR | AC→T | 59 (19.0), 60%, HE | pCR, ypT0 | 110 (35.4) | 35 (59.3) vs 75 (29.8) | OR: [U] 3.44 (1.92-6.18), 0.001 |
Foldi et al[38], America | II RCT | 2015.12-2018.11 | 54 | NR | I: 12, II: 33, III: 14; | T→ddAC- Durvalumab (3 and 10 mg/kg) | 26 (16/10) (48.1), (30%) 10%, HE | pCR, ypT0/Tis ypN0 | 23 (42.6) | 15 (57.7) vs 8 (28.6) | NR |
Abuhadra et al[16], America | Prospective cohort | 2015.10-2019.11 | 318 | 52.5 (24-77) | I: 38, II: 210, III: 70; | ddAC→T+ (Atezolizumab/ Panitumumab/ Bevacizumab) | 106 (33.3), 20%, HE | pCR, ypT0 | 130 (40.9) | 68 (64.2) vs 62 (29.2) | NR |
Denkert et al[33], Germany | RCT IPD pooled analysis | 2010.1-2016.12 | 906 | NR | NR | T+ Bevacizumab | 646 (273/373) (71.3), (60%) 10%, HE | pCR, ypT0 | 333 (36.8) | 253 (39.2) vs 80 (30.8) | NR |
Yuan et al[34], America | II RCT | 2012.1-2018.8 | 63 | 52 (28-79) | II: 55, III: 12; | TCb | 28 (6/22) (45.9), (60%) 10%, HE | pCR, ypT0 | 30 (47.6) | 17 (60.7) vs 13 (39.3) | Medium vs low1: OR: [U] 2.23 (0.74- 6.69), 0.16; high vs low1: OR: [U] 3.06 (0.49-9.30), 0.23 |
Sharma et al[46], America | II RCT | 2015.7-2018.5 | 100 | 51 (29–70) | T1: 19; T2: 70; T3-T4: 11; N0: 70; N1-N3: 30 | Arm-A: CbP + AC; Arm-B: CbD | 39 (43.3), 20%, HE | pCR ypT0/is, ypN0 | 51 (56.7) | 26 (66.7) vs 25 (49.0) | OR: [U] 2.08 (0.88-4.93), 0.096 |
Pons et al[45], Spain | NR | 2016-2022 | 67 | NR | T1-T2: 59; T3: 10; N0: 43; N1-N3: 26 | TCb + ddAC | 24 (35.8), 20%, HE | pCR, ypT0/is, ypN0 | 36 (53.7) | 14 (58.3) vs 22 (51.2) | NR |
Abuhadra et al[15], America | NR | 2015.10-2020.10 | 408 | 51 (23–77) | I: 41, II: 284, III: 83 | AC→TCb | 143 (35.0), 20%, HE | pCR, ypT0/is, N0 | 166 (40.7) | 85 (59.4) vs 81 (30.6) | NR |
Asano et al[31], Japan | Retrospective cohort | 2007-2013 | 61 | NR | T1: 24; T2-T4: 153; N0: 41; N1-N3: 136 | FEC→T | 48 (78.7), 10%, HE | pCR, ypT0 | 28 (45.9) | 26 (54.2) vs 2 (15.4) | NR |
Ono et al[54], Japan | NR | 1999-2007 | 92 | 52 (23-76) | II: 23, III: 36; | AC→T CEF | 67 (72.8)1, high: (3-5), HE | pCR, ypT0 | 29 (31.5) | 25 (37.3) vs 4 (16.0) | NR |
Wang et al[35], America | NR | 2007-2014 | 72 | NR | T1: 5; T2: 48; T3: 15; T4: 5; N0: 38; N1-N3: 34 | NR | 53 (1/52) (73.6), (50%) 10%, HE | pCR, ypT0 | 38 (52.8) | 35 (66.0) vs 3 (15.8) | NR |
Dong et al[29], ChiNR | Retrospective cohort | 2010.1-2014.12 | 170 | NR | T1-2: 110; T3-4: 60 | TAC | 122 (74/48) (71.8), (20%) 10%, HE | pCR, ypT0 DFS OS | 48 (28.2) | 38 (31.1) vs 10 (24.8) | NR |
Würfel et al [44], Germany | NR | 2015.5-2017.4 | 146 | NR | T1: 59; T2-T4: 90 | NR | 24 (16.4), 50%, HE | pCR ypT0 ypN0 | 56 (38.4) | 16 (66.7) vs 40 (32.8) | NR |
Hamy et al[42], France | NR | 2015.1-2017.3 | 717 | NR | T1-T2: 529; T3: 189; N0: 282; N1-N3: 435 | NR | 81 (11.3), 50%, HE | pCR, ypT0 | 202 (28.2) | 48 (59.2) vs 154 (24.2) | OR: [U] 5.02 (4.27-5.77), 0.001 |
Cerbelli et al[41], Italy | Retrospective consecutive cohort | NR | 59 | 49 (28-74) | II: 36, III: 24 | NR | 17 (28.8), 50%, HE | pCR, ypT0 | 22 (37.3) | 13 (76.5) vs 9 (21.4) | NR |
Analysis | No. of studies | Risk ratio (95%CI) | I2 statistic (%) | P value for heterogeneity | Analytical model | P value for subgroup differences |
Study design | ||||||
RCT | 5 | 1.42 (1.23-1.64) | 41 | 0.15 | FEM | |
Prospective cohort | 2 | 2.24 (1.77-2.83) | 0 | 0.64 | FEM | |
Retrospective cohort | 18 | 2.27 (1.84-2.80) | 58 | 0.01 | REM | |
Not reported | 7 | 2.05 (1.77-2.36) | 45 | 0.09 | FEM | 0.02 |
Cut-off | ||||||
60% | 2 | 2.01 (1.57-2.58) | 0 | 0.90 | FEM | |
50% | 8 | 2.31 (1.95-2.74) | 0 | 0.71 | FEM | |
40% | 3 | 3.06 (1.60-5.84) | 78 | 0.01 | REM | |
30% | 3 | 2.33 (1.61-3.37) | 46 | 0.16 | FEM | |
20% | 4 | 1.68 (1.29-2.20) | 67 | 0.03 | REM | |
10% | 10 | 1.63 (1.24-2.15) | 49 | 0.04 | REM | |
Locations | ||||||
Asia | 12 | 1.90 (1.62-2.24) | 46 | 0.04 | FEM | |
Europe | 11 | 2.07 (1.58-2.71) | 77 | 0.01 | REM | |
Americas | 9 | 2.01 (1.76-2.30) | 34 | 0.14 | FEM | 0.35 |
Sample size | ||||||
n ≤ 80 | 16 | 2.62 (2.14-3.20) | 35 | 0.08 | FEM | |
n > 80 | 16 | 1.82 (1.56-2.12) | 69 | 0.01 | REM | 0.04 |
NAT regimens | ||||||
AC-T | 14 | 2.13 (1.72-2.63) | 56 | 0.01 | REM | |
TAC | 4 | 1.99 (1.43-2.75) | 0 | 0.44 | FEM | |
AC-T + targeted therapy | 3 | 1.73 (1.12-2.67) | 82 | 0.01 | REM | |
AC-TCb | 4 | 1.57 (1.31-1.90) | 43 | 0.15 | FEM | |
AC-T + Fu | 2 | 2.75 (1.28-5.92) | 0 | 0.61 | FEM | 0.02 |
- Citation: Sun HK, Jiang WL, Zhang SL, Xu PC, Wei LM, Liu JB. Predictive value of tumor-infiltrating lymphocytes for neoadjuvant therapy response in triple-negative breast cancer: A systematic review and meta-analysis. World J Clin Oncol 2024; 15(7): 920-935
- URL: https://www.wjgnet.com/2218-4333/full/v15/i7/920.htm
- DOI: https://dx.doi.org/10.5306/wjco.v15.i7.920