Between May 2014 and August 2018, 1,110 breast cancer patients underwent surgical treatment at our institution, of whom 115 (10.4%) received neoadjuvant chemotherapy. The median follow-up period was 39 months (range: 8–75 months). During the follow-up period, 25 cases of recurrence occurred.
The clinicopathological characteristics of the 115 patients according to the development of recurrence are summarized in Table 1. The median age was 55 years. Only 3% of tumors had a histology other than invasive ductal carcinoma. Regarding the TNM stage, advanced nodal status and stage were more common in the recurrence group compared with the recurrence-free group. ER and PgR expression was positive in 70% and 61% of the 115 patients, respectively. There were more cases of ER- and PgR-positive cancer in the recurrence-free group than recurrence group. The two groups did not differ significantly in the distributions of HER2 positivity, ki67 expression, or the primary systemic chemotherapy regimen received. More patients in the recurrence-free group received breast conserving surgery compared with those in the recurrence group. The frequencies of the postoperative treatments received, including surgery, chemotherapy, trastuzumab, and hormonal therapy, were significantly different between the groups.
Table 1
Clinicopathological characteristics of 115 breast cancer patients who received neoadjuvant chemotherapy
| All patients (n = 115) | Recurrence-free group (n = 90) | Recurrence group (n = 25) | P value |
Median age: years (range) | P = 0.72 |
| 55 | (32–87) | 55 | (40–87) | 56 | (32–76) | |
Histology: n (%) | P = 1.0 |
| IDC | 111 | (97%) | 87 | (97%) | 24 | (96%) | |
| Other | 4 | (3%) | 3 | (3%) | 1 | (4%) | |
Tumor stage: n (%) | P = 0.10 |
| T1 | 10 | (9%) | 8 | (9%) | 2 | (8%) | |
| T2 | 85 | (74%) | 70 | (78%) | 15 | (60%) | |
| T3 | 10 | (9%) | 7 | (8%) | 3 | (12%) | |
| T4 | 10 | (9%) | 5 | (6%) | 5 | (20%) | |
Nodal status: n (%) | P = 0.01 |
| N0 | 23 | (20%) | 20 | (22%) | 3 | (12%) | |
| N1 | 71 | (62%) | 56 | (62%) | 15 | (60%) | |
| N2A | 9 | (8%) | 9 | (10%) | 0 | (0%) | |
| N2B | 1 | (1%) | 0 | (0%) | 1 | (4%) | |
| N3A | 3 | (3%) | 1 | (1%) | 2 | (8%) | |
| N3C | 8 | (7%) | 4 | (4%) | 4 | (16%) | |
Stage: n (%) | P = 0.10 |
| 1 | 1 | (1%) | 1 | (1%) | 0 | (0%) | |
| 2A | 25 | (22%) | 20 | (22%) | 5 | (20%) | |
| 2B | 56 | (49%) | 47 | (52%) | 9 | (36%) | |
| 3A | 13 | (11%) | 11 | (12%) | 2 | (8%) | |
| 3B | 9 | (8%) | 6 | (7%) | 3 | (12%) | |
| 3C | 11 | (10%) | 5 | (6%) | 6 | (24%) | |
ER status: n (%) | P = 0.01 |
| + | 81 | (70%) | 68 | (76%) | 13 | (52%) | |
| − | 34 | (30%) | 22 | (24%) | 12 | (48%) | |
PgR status: n (%) | P = 0.01 |
| + | 70 | (61%) | 60 | (67%) | 10 | (40%) | |
| − | 45 | (39%) | 30 | (33%) | 15 | (60%) | |
HER2 status: n (%) | P = 1.0 |
| + | 37 | (32%) | 29 | (32%) | 8 | (32%) | |
| − | 78 | (68%) | 61 | (68%) | 17 | (68%) | |
Ki67 score: n (%) | P = 0.57 |
| < 14 | 22 | (19%) | 16 | (18%) | 6 | (24%) | |
| ≥ 14 | 92 | (81%) | 73 | (82%) | 19 | (76%) | |
Neoadjuvant chemotherapy: n (%) | P = 1.0 |
| Anthra/taxane | 101 | (88%) | 79 | (88%) | 22 | (88%) | |
| Other | 14 | (12%) | 11 | (12%) | 3 | (12%) | |
Surgery: n (%) | P = 0.045 |
| Lumpectomy | 34 | (30%) | 31 | (34%) | 3 | (12%) | |
| Mastectomy | 81 | (70%) | 59 | (66%) | 22 | (88%) | |
Postoperative chemotherapy: n (%) | P < 0.001 |
| Yes | 7 | (6%) | 1 | (1%) | 6 | (24%) | |
| No | 108 | (94%) | 89 | (99%) | 19 | (76%) | |
Postoperative trastuzumab: n (%) | P = 0.034 |
| Yes | 13 | (11%) | 7 | (8%) | 6 | (24%) | |
| No | 102 | (89%) | 83 | (92%) | 19 | (76%) | |
Postoperative hormones: n (%) | P = 0.013 |
| Yes | 80 | (70%) | 68 | (75%) | 12 | (48%) | |
| No | 35 | (30%) | 22 | (25%) | 13 | (52%) | |
ER, estrogen receptor; PgR, progesterone receptor; HER2, human epidermal growth factor receptor 2 |
The association between the NLR and disease-free survival is shown in Fig. 1. There was no relationship between the NLR and disease-free survival time. We then stratified the patients according to a NLR cutoff of 2.5, which was selected based on previous studies [11, 14]. The disease-free survival curves, determined by the Kaplan–Meier method, did not differ significantly according to this NLR cutoff (Fig. 2). This lack of an association remained when a NLR cutoff of 2.0 or 3.0 was used (data not shown).
A Cox proportional hazards model was used to identify prognostic factors significantly associated with disease-free survival (Table 2). We assessed the NLR, disease stage, and ER status as variables; other factors including nodal status, PgR status, and surgical and postoperative treatments received were excluded from the analysis to avoid multicollinearity. The results indicated that the NLR was not associated with disease-free survival (hazard ratio [HR], 0.84; 95% confidence interval [CI], 0.65–1.09; P = 0.19). On the other hand, advanced stage (IIIB–IIIC; HR, 3.11; 95% CI, 1.35–7.2; P < 0.01) and a negative ER status (HR, 2.76; 95% CI, 1.23–6.22; P = 0.01) were associated with shorter disease-free survival.
Table 2
Cox proportional hazards model of prognostic factors associated with disease-free survival
| HR (95% CI) | P value |
ER status | | P = 0.01 |
+ | 1 | |
− | 2.76 (1.23–6.22) | |
Stage | | P < 0.01 |
I–IIIA | 1 | |
IIIB–IIIC | 3.11 (1.35–7.20) | |
NLR | | P = 0.18 |
NLR | 0.83 (0.64–1.09) | |
HR, hazard ratio; CI, confidence interval; ER, estrogen receptor; HER2, human epidermal growth factor receptor 2 |