Literature DB >> 34843027

Average duration of prior treatment lines predicts clinical benefit to eribulin chemotherapy in patients with metastatic breast cancer.

Faye Coe1, Vivek Misra2, Yamini McCabe3, Helen Adderley3, Laura Woodhouse3, Zaheen Ayub1, Xin Wang4, Sacha Howell3, Maria Ekholm5,6,7.   

Abstract

PURPOSE: The aim of this study was to identify factors associated with progression-free survival (PFS) and overall survival (OS) in patients with metastatic breast cancer (MBC) treated with eribulin in a real-world setting, to improve information provision in those considering treatment.
METHODS: Patients treated with eribulin for MBC at The Christie NHS Foundation Trust, Manchester, UK, between August 2011 and December 2018 were included (n = 439). Data were collected by retrospective review of medical records and electronic prescribing systems. Factors such as biological subtype, distant recurrence-free interval, previous lines of chemotherapy and the 'average duration of previous treatment lines' (ADPT) (calculated as: (date of initiation of eribulin-date of MBC) / the number of previous treatment lines in the metastatic setting) were evaluated for prognostic impact using Cox proportional hazards regression.
RESULTS: In the full cohort, the median PFS and OS were 4.1 months (95% CI 3.7-4.4) and 8.6 months (95% CI 7.4-9.8), respectively. Outcomes were significantly inferior for those with triple-negative breast cancer (TNBC) (n = 92); PFSTNBC: 2.4 months (95% CI 2.1-3.0), p =  < 0.001 and OSTNBC: 5.4 months (95% CI 4.6-6.6), p =  < 0.001. ADPT was the only factor other than subtype significantly associated with PFS and OS. Longer ADPT was also significantly associated with PFS and OS in those with TNBC. For example, women in the lowest ADPT tertile (< 5.0 months) achieved a median OS of only 4.3 months, whereas those in the upper ADPT tertile (> 8.7 months) had a median OS of 12.1 months (p = 0.004).
CONCLUSION: Our results indicate that the ADPT lines is an important factor when predicting the outcome with eribulin chemotherapy in a palliative setting and that quantitative guidance on the likely PFS and OS with treatment can be provided using ADPT. Validation in additional cohorts is warranted.
© 2021. The Author(s).

Entities:  

Keywords:  Chemotherapy; Eribulin; Metastatic breast cancer; Palliative; Real world; Subtypes

Mesh:

Substances:

Year:  2021        PMID: 34843027      PMCID: PMC8831340          DOI: 10.1007/s10549-021-06438-7

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


Introduction

Breast cancer is the most common cancer in women with approximately 1.7 million new cases per year worldwide [1]. The aim of systemic therapy for metastatic breast cancer (MBC) is to delay disease progression, improve overall survival (OS) and at the same time maintain or improve the quality of life by controlling cancer-related symptoms. Although clear guidelines exist for first-line treatment options, later treatment lines are less well evidenced, potentially less efficacious and therefore the side effect profile and patient wishes are highly important to take into consideration when choosing treatment [2]. Eribulin, a non-taxane microtubule dynamics inhibitor, was approved for the treatment of advanced breast cancer based on two phase III studies [3, 4]. In EMBRACE, heavily pretreated patients with MBC of all subtypes were randomised 2:1 to receive eribulin or treatment of physician’s choice (TPC) [3]. Progression-free survival (PFS) was 3.7 months in the eribulin arm and eribulin was shown to improve OS significantly compared to TPC (13.1 months vs. 10.6 months; Hazard Ratio (HR) = 0.81, p = 0.041) [3]. In Study 301, patients with MBC of all subtypes previously treated with anthracyclines and taxanes were assigned 1:1 to receive eribulin or capecitabine as 1st-, 2nd- or 3rd-line therapy. In this trial, PFS was 4.1 months and no significant difference in OS was seen between the 2 groups (15.9 months vs. 14.5 months, p = 0.056) [4]. However, a subgroup analysis of patients with human epidermal growth factor receptor 2 (HER2) negative MBC did show a longer OS in the eribulin arm (16.1 months vs. 13.5 months, p = 0.026) [5]. A pooled analysis of EMBRACE and Study 301 has also been published (n = 1864; eribulin n = 1062, TPC or capecitabine n = 802) with OS data favouring eribulin (15.2 months vs. 12.8 months, p = 0.003) and a similar positive effect seen across the different subtypes [6]. The primary aim of the current study was to identify factors associated with PFS and OS in patients with different subtypes of MBC treated with eribulin in a real-world setting to improve information provision to patients considering palliative treatment in the metastatic setting.

Methods

Patients

All patients treated with eribulin for MBC at The Christie NHS Foundation Trust (The Christie), Manchester, UK, between 1st August 2011 and 31st December 2018 were identified through the electronic patient data systems. Medical records and electronic prescribing systems were reviewed by four doctors (ME, YM, LW and HA) and two pharmacists (FC and ZA). Data on breast cancer history and previous treatments, patient and tumour characteristics, eribulin treatment, hospital admissions and outcome were collected using a predefined case report form. Last date for follow-up was 30th of March 2020. Detailed information on adverse events was not collected. The majority of patients were treated with the standard dose of eribulin, i.e. 1.23 mg/m2 on days 1 and 8 in a 21-day cycle; however, but those who recieved dose reductions from cycle 1 are included. Radiological assessment was performed as per standard of care, generally every 4 cycles. Patients were divided into the following subtypes based on the biological characteristics of the tumour; oestrogen receptor (ER) positive and/or progesterone receptor (PR) positive and HER2 negative (ER + /HER2-); HER2 positive, irrespective of ER/PR status (HER2 +); ER-/PR-/HER2- (TNBC). ER/PR positivity was defined as ≥ 1% positively stained nuclei or quick score (QS) ≥ 3 if no percentage had been recorded.

Statistical analyses

Summary statistics were provided for patient and tumour characteristics. Median Tests were applied for continuous variables and Chi-squared Tests were applied for categorical variables to assess the differences between subtype groups for corresponding variables. PFS was defined as the time from start of eribulin treatment until progressive disease, primarily radiological but clinical for patients who clearly had progressive disease without undergoing a scan, or death from any cause. OS was defined as the time from start of treatment until death from any cause. Patients lost to follow-up were censored at the day of their last eribulin treatment for PFS and the day of their last follow-up for OS. Distant recurrence-free interval (DRFi) was defined as the date of the primary cancer until diagnosis of distant recurrence. The ‘average duration of previous treatment lines’ (ADPT) was calculated as: (date of initiation of eribulin–date of MBC) / the number of previous treatment lines in the metastatic setting, including endocrine therapy for patients with ER + disease. Treatments given < 1 month, irrespectively of stop cause, was disregarded when counting the number of previous treatment lines. The Kaplan–Meier method was used to estimate median survival and corresponding 95% confidence intervals (CIs). Univariable Cox proportional hazards (PH) regression was applied to assess the association between PFS and OS, respectively, and DRFi, number of previous chemotherapy lines for MBC, and ADPT categorised as tertiles for the whole group and subgroups separately and as continuous variables. Patients with de novo metastatic disease were treated as ‘no record’ in the calculation of DRFi and they were excluded when calculating the tertiles for DRFi. Patients who received eribulin as first line (because of recurrence shortly after having completed adjuvant therapy, including an anthracycline and a taxane) were treated as ‘no record’ in the calculation of ADPT and they were excluded from the calculation of the tertiles for ADPT. The association between PFS and OS and cancer subtypes were assessed using Cox PH regression. Hazard ratios together with their corresponding 95% confidence intervals and Wald P values were calculated. All presented P values are two-sided. Statistical analyses were performed using R version 3.6.2 (2019 The R Foundation for Statistical Computing).

Results

In total, 439 patients commenced eribulin for MBC at The Christie between 1st August 2011 and 31st December 2018. Patient characteristics and breast cancer history for all patients and divided by subtype are summarised in Table 1. In total, 44.0% (n = 193/439) of the patients had a dose reduction of eribulin, 12.5% (n = 55/439) were given granulocyte colony-stimulating factor (G-CSF) and 8.2% (n = 36/439) had both a dose reduction and G-CSF. In patients with HER2 + MBC, 7.4% (5/68) received trastuzumab concomitantly with eribulin. During the treatment period 48.3% (n = 212/439) patients were admitted to hospital at least one time. Reasons for hospital admissions are listed in Table 2 along with reasons for eribulin discontinuation. The median OS from the date of MBC diagnosis (MBC OS) was 41.3 months (95% CI 38.1–44.3) for all patients and differed between the biological subtypes; MBC OSER+/HER2-: 46.7 months (95% CI 43.3–51.7), MBC OSHER2+: 48.5 months (95% CI 38.0–60.1) and MBC OSTNBC: 22.0 months (95% CI 18.7–25.7), p =  < 0.001. These results must be interpreted with caution as they are affected by survivor bias, since only those patients who survived to receive at least one dose of eribulin were included in the cohort.
Table 1

Patient and tumour characteristics at start of eribulin therapy, for all patients and divided by biological subtype

All patientsER + /HER2-HER2 + TNBCP-value
Number of patients (%)439 (100.0)279 (63.6)68 (15.5)92 (21.0)
DRFi, years
 Median (min–max)53.0 (2.0–497.5)75.9 (2.0–497.5)37.9 (4.0–352.3)23.0 (4.0–282.2) < 0.001a
  1st tertile ≤ 2.8 ≤ 4.3 ≤ 2.4 ≤ 1.4
  2nd tertile > 2.8–7.0 > 4.3–8.8 > 2.4–4.9 > 1.4–2.8
  3rd tertile > 7.0 > 8.8 > 4.9 > 2.8
  De novo metastatic75 (17.1)47 (16.8)14 (20.6)13 (14.1)
Age
 Median (range)56 (32– 87)56 (34–87)56 (40–81)54 (32–81)0.11a
ECOG, n (%)
  0137 (48.8)88 (48.4)21 (52.5)28 (47.5)0.98b
  1104 (37.0)69 (37.9)13 (32.3)22 (37.3)
  237 (13.2)23 (12.6)6 (15.0)8 (13.6)
  33 (0.1)2 (0.1)0 (0)1 (0.2)
  Missing158972833
Metastatic sites
 Median, n33320.12a
 Sites of metastases
  Bone302 (68.8)223 (79.9)42 (61.8)37 (40.2) < 0.001b
  Lung/pleura245 (55.8)150 (53.8)38 (55.9)57 (62.0)0.39b
  Liver268 (61.1)200 (71.7)32 (47.1)36 (39.1) < 0.001b
  Lymph nodes198 (45.1)109 (39.1)39 (57.4)50 (54.4)0.003b
  CNS77 (17.5)28 (13.6)22 (32.4)17 (18.5)0.001b
  Other145 (33.0)76 (27.2)30 (44.1)39 (42.4)0.003b
Previous number of treatment lines for metastatic disease
 Median (range)3 (0–11)4 (0–11)3 (1–11)2 (0–5) < 0.001a
Previous number of chemotherapy regimens for metastatic disease
 Median (range)2 (0–8)2 (0–8)3 (1–7)2 (0–5)0.004a
   ≤ 2274 (62.4)175 (62.7)32 (54.4)67 (72.8)0.004b
   > 2165 (37.6)104 (37.3)36 (52.9)25 (27.2)
ADPT, months
 Median (min–max)8.0 (1.6–48.4)9.6 (3.2–27.8)9.6 (3.2–28.8)6.7 (0.3–31.4)0.031a
  1st tertile ≤ 6.3 ≤ 6.5 ≤ 7.8 ≤ 5.0
  2nd tertile > 6.3–10.4 > 6.5–10.43 > 7.8–12.4 > 5.0–8.7
  3rd tertile > 10.4 > 10.4 > 12.4 > 8.7
  NA42201

ADPT average duration of previous treatment lines, DRFi distant recurrence-free interval, NA not applicable

aMedian Test

bChi-squared Test

Table 2

Information on treatment and adverse events

n (%)
Number of patients (%)439 (100)
Dose reduction
 No246 (56.0)
 Yes, once71 (16.2)
 Yes, multiple122 (27.8)
G-CSF
 No384 (87.5)
 Yes, at C119 (4.3)
 Yes, after C136 (8.2)
Hospital admissiona
 Yes212 (48.3)
Reason(s) for hospital admissionb
 Febrile neutropenia54 (12.3)
 Non-neutropenic infection85 (19.4)
 Eribulin-related toxicity48 (10.9)
 Other reason106 (24.2)
Treatment-related death
 Yes3 (0.7)
Reason for discontinuation
 Disease progression340 (78.7)
 Toxicity24 (5.6)
 Not fit for further treatment34 (7.9)
 Physician’s or patient’s choice9 (2.1)
 Other1 (0.2)
 Death24 (5.6)
 Lost to follow-up4
 NA (ongoing treatment at data cut-off)3

aNumber of patients admitted, not total number of admissions

bPatients may have had several reasons for admission

Patient and tumour characteristics at start of eribulin therapy, for all patients and divided by biological subtype ADPT average duration of previous treatment lines, DRFi distant recurrence-free interval, NA not applicable aMedian Test bChi-squared Test Information on treatment and adverse events aNumber of patients admitted, not total number of admissions bPatients may have had several reasons for admission

Survival analyses

The median PFS and OS with eribulin for the whole cohort were 4.1 months (95% CI 3.7–4.4) and 8.6 months (95% CI 7.4–9.8), respectively. Outcomes were significantly inferior for those with TNBC; PFSER+/HER2-: 4.6 months (95% CI 4.2–5.2); PFSHER2+: 3.9 months (95% CI 2.9–5.5) and PFSTNBC: 2.4 months (95% CI 2.1–3.0), p < 0.001 (Table 3) and OSER+/HER2-: 9.5 months (95% CI 8.3–11.1); OSHER2+: 9.2 months (95% CI 6.9–13.0) and OSTNBC: 5.4 months (95% CI 4.6–6.6), p < 0.001) (Table 4).
Table 3

Median progression-free survival and univariable analysis of prognostic factors for progression-free survival for all patients and divided by biological subtype

Number of events/patientsMedian PFS, months(95% CI)Log rank p-valueHazard Ratio (95% CI)Wald p-value
All patients364/4394.1 (3.7–4.4) < 0.001
 ER + /HER2-229/2794.6 (4.2–5.2)Ref.
 HER257/683.9 (2.9–5.5)1.03 (0.77–1.38)0.84
 TNBC78/922.4 (2.1–3.0)1.98 (1.53–2.57) < 0.001
All patients
 DRFi, years
  1st tertile (≤ 2.8)99/1222.8 (2.3–4.4)0.30Ref.
  2nd tertile (> 2.8–7.0)102/1214.4 (3.7–5.0)0.90 (0.68–1.19)0.47
  3rd tertile (> 7.0)102/1213.9 (3.8–5.3)0.79 (0.60–1.05)0.10
  De novo metastatic61/753.9 (3.4–4.6)1.03 (0.74–1.42)0.87
  Linear0.99 (0.97–1.01)0.21
 Previous chemotherapy lines, n
   ≤ 2227/2744.3 (3.7–4.6)0.65Ref.
   > 2137/1653.9 (3.6–4.6)1.05 (0.85–1.07)0.66
  Linear0.94 (0.86–1.03)0.19
 ADPT, months
  1st tertile (≤ 6.3)126/1462.8 (2.3–3.9)0.001Ref.
  2nd tertile (> 6.3–10.1)124/1454.4 (3.8–5.0)0.72 (0.56–0.92)0.009
  3rd tertile (> 10.1)111/1454.7 (4.0–5.3)0.62 (0.42–0.69) < 0.001
  Linear0.96 (0.94–0.98) < 0.001
ER + /HER2-
 DRFi, years
  1st tertile (≤ 4.3)63/784.4 (3.7–7.1)0.44Ref.
  2nd tertile (> 4.3–8.8)65/775.0 (4.4–6.1)1.06 (0.75–1.51)0.73
  3rd tertile (> 8.8)67/774.6 (3.6–5.3)1.29 (0.91–1.82)0.16
  De novo metastatic34/474.4 (3.7–7.3)1.27 (0.83–1.94)0.27
  Linear1.01 (0.99–1.03)0.45
 Previous chemotherapy lines, n
   ≤ 2143/1754.6 (3.7–5.3)0.91Ref.
   > 286/1044.6 (4.3–5.3)0.99 (0.75–1.29)0.91
  Linear0.91 (0.80–1.02)0.11
 ADPT, months
  1st tertile (≤ 6.5)79/934.1 (3.0–5.2)0.36Ref.
  2nd tertile (> 6.5–10.4)80/925.3 (4.4–7.2)0.80 (0.58–1.09)0.15
  3rd tertile (> 10.4)68/924.6 (3.7–5.3)0.88 (0.64–1.22)0.45
  Linear0.98 (0.95–1.00)0.039
HER2 + 
 DRFi, years
  1st tertile (≤ 2.4)14/185.0 (2.5–*)0.62Ref.
  2nd tertile (> 2.4–4.9)14/173.7 (2.1–7.5)1.65 (0.75–3.6)0.21
  3rd tertile (> 4.9)14/183.1 (1.8–*)1.24 (0.58–2.66)0.58
  De novo metastatic15/153.9 (3.4–9.1)1.46 (0.68–3.13)0.33
  Linear0.97 (0.92–1.03)0.35
 Previous chemotherapy lines, n
   ≤ 227/325.0 (2.3–7.5)0.21Ref.
   > 230/363.6 (2.5–5.5)1.40 (0.82–2.38)0.22
  Linear1.06 (0.87–1.28)0.57
 ADPT, months
  1st tertile (≤ 7.8)18/232.9 (1.8–6.7)0.19Ref.
  2nd tertile (> 7.8–12.4)20/222.3 (2.1–6.9)0.71 (0.37–1.36)0.30
  3rd tertile (> 12.4)19/235.0 (4.1–9.1)0.55 (0.29–1.05)0.071
  Linear0.95 (0.90–1.00)0.063
TNBC
 DRFi, years
  1st tertile (≤ 1.4)23/272.3 (1.8–2.6)0.004Ref.
  2nd tertile (> 1.4–2.8)21/262.3 (1.7–4.5)0.49 (0.26–0.92)0.026
  3rd tertile (> 2.8)22/263.8 (3.0–6.0)0.32 (0.17–0.60) < 0.001
  De novo metastatic12/132.2 (1.9–*)0.68 (0.34–1.39)0.29
  Linear0.93 (0.85–1.01)0.075
 Previous chemotherapy lines, n
   ≤ 257/672.4 (2.1–3.0)0.48Ref.
   > 221/252.6 (1.9–3.9)1.20 (0.72–1.99)0.49
  Linear0.99 (0.76–1.28)0.92
ADPT, months
  1st tertile (≤ 5.0)28/311.9 (1.5–2.7)0.001Ref.
  2nd tertile (> 5.0–8.7)24/312.2 (1.9–4.4)0.60 (0.35–1.05)0.074
  3rd tertile (> 8.7)25/303.8 (2.6–5.0)0.34 (0.19–0.62) < 0.001
  Linear0.92 (0.86–0.97)0.002

ADPT average duration of previous treatment lines, DRFi distant recurrence-free interval, PFS progression-free survival

Table 4

Median overall survival and univariable analysis of prognostic factors for overall survival for all patients and divided by biological subtype

Number of events/patientsMedian OS, months (95% CI)Log rank p-valueHazard Ratio (95% CI)Wald p-value
All patients408/4398.6 (7.4–9.8) < 0.001
 ER + /HER2-255/2799.5 (8.3–11.1)Ref.
 HER + 64/689.2 (6.9–13.0)1.08 (0.82–1.42)0.60
 TNBC89/925.4 (4.6–6.6)1.66 (1.30–2.13) < 0.001
All patients
 DRFi, years
  1st tertile (≤ 4.3)113/1226.4 (5.8–9.2)0.20Ref.
  2nd tertile (> 4.3–8.8)115/12110.0 (8.5–13.5)0.84 (0.64–1.09)0.18
  3rd tertile (> 8.8)108/1219.4 (7.3–12.6)0.78 (0.59–1.01)0.060
  De novo metastatic72/758.2 (6.1–10.4)0.98 (0.73–1.32)0.88
  Linear0.99 (0.97–1.01)0.21
 Previous chemotherapy lines, n
   ≤ 2250/2748.8 (7.3–10.7)0.065Ref.
   > 2158/1658.2 (6.4–9.7)1.21 (0.99–1.48)0.065
  Linear1.02 (0.94–1.11)0.64
 ADPT, months
  1st tertile (≤ 6.5)138/1466.3 (5.4–7.3)0.002Ref.
  2nd tertile (> 6.5–10.4)137/1459.2 (7.7–10.9)0.80 (0.63–1.01)0.061
  3rd tertile (> 10.4)131/14511.6 (9.4–14.5)0.64 (0.51–0.82) < 0.001
  Linear0.96 (0.94–0.98) < 0.001
ER + /HER-
 DRFi, years
  1st tertile (≤ 4.3)68/7810.2 (8.3–11.6)0.44Ref.
  2nd tertile (> 4.3–8.8)73/7710.4 (7.3–15.3)0.96 (0.69–1.34)0.83
  3rd tertile (> 8.8)70/779.5 (7.1–13.4)1.14 (0.81–1.60)0.45
  De novo metastatic44/477.9 (5.9–13.9)1.28 (0.87–1.87)0.21
  Linear1.00 (0.98–1.02)0.80
 Previous chemotherapy lines, n
   ≤ 2156/17510.2 (8.2–12.3)0.14Ref.
   > 299/1048.7 (7.0–11.4)1.21 (0.94–1.56)0.14
  Linear1.02 (0.92–1.13)0.70
 ADPT, months
  1st tertile (≤ 6.5)87/937.9 (6.8–10.6)0.14Ref.
  2nd tertile (> 6.5–10.4)85/9210.6 (8.5–13.5)0.81 (0.60–1.10)0.17
  3rd tertile (> 10.4)81/9210.7 (7.5–14.8)0.76 (0.56–1.04)0.083
  Linear0.98 (0.95–1.00)0.042
HER2 + 
 DRFi, years
  1st tertile (≤ 2.4)15/186.1 (4.4–46.5)0.99Ref.
  2nd tertile (> 2.4–4.9)17/1710.1 (6.9 –18.3)1.05 (0.50–2.19)0.89
  3rd tertile (> 4.9)17/189.3 (5.7 –18.5)1.03 (0.49–2.14)0.93
  De novo metastatic15/159.8 (6.8–15.7)1.12 (0.53–2.36)0.77
  Linear0.98 (0.92–1.02)0.25
 Previous chemotherapy lines, n
   ≤ 230/3210.1 (6.9–16.4)0.11Ref.
   > 234/368.5 (5.5–10.7)1.53 (0.99–2.59)0.11
  Linear1.09 (0.90–1.31)0.38
 ADPT, months
  1st tertile (≤ 7.8)21/234.4 (3.5–10.2)0.16Ref.
  2nd tertile (> 7.8–12.4)21/229.3 (6.9–16.9)0.65 (0.35–1.20)0.16
  3rd tertile (> 12.4)22/2313.7 (8.7–16.5)0.56 (0.31–1.04)0.064
  Linear0.97 (0.92–1.02)0.25
TNBC
 DRFi, years
  1st tertile (≤ 1.4)25/274.4 (2.4–6.6)0.36Ref.
  2nd tertile (> 1.4–2.8)26/275.6 (3.9–9.6)0.83 (0.47 –1.46)0.52
  3rd tertile (> 2.8)25/268.9 (4.9–15.6)0.61 (0.34–1.07)0.085
  De novo metastatic13/136.4 (3.4–*)0.72 (0.36–1.41)0.34
  Linear0.99 (0.92–1.06)0.75
 Previous chemotherapy lines, n
   ≤ 264/676.2 (4.9–9.2)0.72Ref.
   > 225/254.6 (3.9–9.6)1.09 (0.68–1.75)0.72
  Linear1.01 (0.82–1.26)0.89
 ADPT, months
  1st tertile (≤ 5.0)31/314.3 (2.5–5.4)0.004Ref.
  2nd tertile (> 5.0–8.7)30/306.3 (3.9–9.0)0.81 (0.48–1.36)0.43
  3rd tertile (> 8.7)28/3012.1 (6.5–15.9)0.42 (0.25–0.71)0.001
  Linear0.93 (0.88–0.97)0.002

ADPT average duration of previous treatment lines, DRFi distant recurrence-free interval, PFS progression-free survival

Median progression-free survival and univariable analysis of prognostic factors for progression-free survival for all patients and divided by biological subtype ADPT average duration of previous treatment lines, DRFi distant recurrence-free interval, PFS progression-free survival Median overall survival and univariable analysis of prognostic factors for overall survival for all patients and divided by biological subtype ADPT average duration of previous treatment lines, DRFi distant recurrence-free interval, PFS progression-free survival

Prognostic factors and eribulin efficacy

Factors that were explored for eribulin efficacy are presented in Tables 3 and 4 for PFS and OS, respectively. Longer ADPT was positively associated with PFS for all patients; ADPT1st tertile (≤ 6.3 months): ref, ADPT2nd tertile (> 6.3–10.1 months): HR = 0.72, p = 0.009, ADPT3rd tertile (> 10.1 months): HR = 0.62, p =  < 0.001 and ADPTlinear: HR = 0.96, p =  < 0.001. Similar results were seen for OS; ADPT1st tertile ref, ADPT2nd tertile: HR = 0.80, p = 0.061, ADPT3rd tertile: HR = 0.64, p =  < 0.001 and ADPT linear: HR = 0.96, p =  < 0.001. Longer ADPT was also positively associated with PFS and OS in the different biological subtypes, reaching statistical significance in the TNBC subgroup (Tables 3 and 4).

Discussion

The current study represents the largest single-institution experience of the use of eribulin in MBC and includes data on outcomes for the different biological subtypes. For the whole cohort, PFS was similar but OS was somewhat shorter than in the previously published randomised trials [3, 4]. Our cohort was more heavily pretreated when compared to Study 301 [4] and 41 patients (9.3%) received ≤ 1 full cycle of eribulin and had PFS and OS of only 0.6 months (95% CI 0.5–1.2) and 1.4 months (95% CI 1.1–2.2), respectively. These patients may have been better suited for best supportive care and are unlikely to have fulfilled the eligibility criteria for clinical trials. The results of the prognostic analyses in the study were largely unchanged after exclusion of these individuals (data not shown). Other trials based on real-world data including > 100 patients report a wider spread of results for PFS (3.3–6.1 months) and OS (10.6–31.8 months) [7-14]. Differences in PFS could result from less frequent imaging or patient and tumour variability as well as differences in previous lines of MBC treatment between the cohorts. For example, Adamo et al. reported PFS of 5.5 months and OS of 31.8 months, which may be the result of 70% patients in their cohort having cancers that the authors classified as luminal A subtype [13]. As expected, the median PFS and OS in our cohort differed between the biological subtypes and were inferior in those with TNBC (Tables 3 and 4). Importantly, the outcomes for patients with HER2 + disease may not be comparable to present day worldwide expectations for two reasons. Firstly, a significant proportion of these patients did not receive HER2 dual-blockade as 1st-line metastatic treatment, which is known to significantly increase OS [15]. Secondly, at the time of this project the National Institute for Health and Social Care Excellence (NICE) stipulated that only two lines of anti-HER2 therapy could be used in the metastatic setting. Therefore, most patients with HER2 + cancers only had two lines of anti-HER2 therapy unless additional lines were received in the context of clinical trials or private care. The vast majority did not have anti-HER2 treatment concomitant with eribulin, which remains the treatment paradigm within the National Health Service (NHS) in England. Based on the pooled data from EMBRACE and Study 301 reported by Cortes et al., the median OS was longer for patients having ≤ 3 previous chemotherapy lines [16]. This may be expected as OS is generally longer for patients who are early into their disease. However, we did not demonstrate significant differences in OS between patients having ≤ 2 vs. > 2 previous chemotherapy lines for MBC, nor for ≤ 3 vs. > 3 previous chemotherapy lines (data not shown for the latter). Instead, we hypothesised that it was important to not only assess the number of previous treatment lines but also to take into consideration their duration as a surrogate for efficacy. We therefore defined the variable ADPT. We found longer ADPT to be associated with better outcomes in all patients, both with regards to PFS and OS. Similar results were demonstrated for all biological subgroups, but the strongest correlation was found in TNBC. This is perhaps the case as prior lines in those with TNBC will have been chemotherapy regimens whereas in those with ER + /HER2- and HER2 + cancers, endocrine therapies and HER2-targeted agents will have contributed significantly with potentially non-overlapping mechanisms of resistance. This study has several strengths. It is the largest single-institution real-world eribulin study, also reporting on outcomes for each biological subtype. The data were collected by review of medical records rather than register data and to our knowledge; we are the first to report on the importance of the duration of previous treatments. Although ADPT is not an established endpoint, our results indicate that the duration of prior therapy is important when predicting the benefit of chemotherapy in a palliative setting, rather than the number of previous chemotherapy lines per se. For patients living with MBC it may be very useful to know what to expect from a particular choice of therapy. For example, according to our data, a patient with TNBC and an ADPT of 3 months can only expect a PFS on average of less than 2 months and an OS of about 4 months. In contrast an ADPT in the upper tertile, of say 10 months, would predict a doubled PFS and an OS of over a year. This approach would be useful to help not only decide whether to accept the offer of further therapy but also for future planning including end of life care. The study also has limitations. With all real-world studies, it is difficult to account for all possible confounding factors that may influence the results. The annotations in the medical records were not considered sufficiently comprehensive to present data on adverse events, except for hospitalisation. Performance status and comorbidities were relatively poorly documented in comparison to clinical trial annotations. In addition, our time frame of 7 years allowed for variability of available treatment within each biological subtype, which may have affected the outcome of PFS and OS in our cohort. In conclusion, by introducing the variable ADPT, we show that patients who have a longer exposure to previous treatment lines have better outcomes on eribulin and this was particularly evident for patients with TNBC. This composite measure has clinical utility for patient information and decision-making at a difficult point in their metastatic journey and should be validated in additional cohorts.
  16 in total

1.  Eribulin monotherapy versus treatment of physician's choice in patients with metastatic breast cancer (EMBRACE): a phase 3 open-label randomised study.

Authors:  Javier Cortes; Joyce O'Shaughnessy; David Loesch; Joanne L Blum; Linda T Vahdat; Katarina Petrakova; Philippe Chollet; Alexey Manikas; Veronique Diéras; Thierry Delozier; Vladimir Vladimirov; Fatima Cardoso; Han Koh; Philippe Bougnoux; Corina E Dutcus; Seth Seegobin; Denis Mir; Nicole Meneses; Jantien Wanders; Chris Twelves
Journal:  Lancet       Date:  2011-03-02       Impact factor: 79.321

2.  Pertuzumab, trastuzumab, and docetaxel for HER2-positive metastatic breast cancer (CLEOPATRA): end-of-study results from a double-blind, randomised, placebo-controlled, phase 3 study.

Authors:  Sandra M Swain; David Miles; Sung-Bae Kim; Young-Hyuck Im; Seock-Ah Im; Vladimir Semiglazov; Eva Ciruelos; Andreas Schneeweiss; Sherene Loi; Estefanía Monturus; Emma Clark; Adam Knott; Eleonora Restuccia; Mark C Benyunes; Javier Cortés
Journal:  Lancet Oncol       Date:  2020-03-12       Impact factor: 41.316

3.  Effectiveness of Eribulin in Metastatic Breast Cancer: 10 Years of Real-World Clinical Experience in the United States.

Authors:  Sarah S Mougalian; Jonathan K Kish; Jingchuan Zhang; Djibril Liassou; Bruce A Feinberg
Journal:  Adv Ther       Date:  2021-01-24       Impact factor: 3.845

4.  Eribulin mesylate in pretreated breast cancer patients: a multicenter retrospective observational study.

Authors:  Teresa Gamucci; Andrea Michelotti; Laura Pizzuti; Lucia Mentuccia; Elisabetta Landucci; Isabella Sperduti; Luigi Di Lauro; Alessandra Fabi; Giuseppe Tonini; Valentina Sini; Nello Salesi; Ilaria Ferrarini; Angela Vaccaro; Ida Pavese; Enzo Veltri; Luca Moscetti; Paolo Marchetti; Patrizia Vici
Journal:  J Cancer       Date:  2014-03-20       Impact factor: 4.207

5.  Eribulin in pretreated metastatic breast cancer patients: results of the TROTTER trial-a multicenter retrospective study of eribulin in real life.

Authors:  Ornella Garrone; Filippo Montemurro; Chiara Saggia; Nicla La Verde; Anna Maria Vandone; Mario Airoldi; Enrico De Conciliis; Michela Donadio; Francesco Lucio; Maria Antonia Polimeni; Maria Vittoria Oletti; Alice Giacobino; Marco Carlo Merlano
Journal:  Springerplus       Date:  2016-01-21

6.  Effectiveness and safety of eribulin in Japanese patients with HER2-negative, advanced breast cancer: a 2-year post-marketing observational study in a real-world setting.

Authors:  Kenichi Inoue; Masato Takahashi; Hirofumi Mukai; Takashi Yamanaka; Chiyomi Egawa; Yukinori Sakata; Hiroki Ikezawa; Toshiyuki Matsuoka; Junji Tsurutani
Journal:  Invest New Drugs       Date:  2020-01-16       Impact factor: 3.850

7.  Eribulin mesylate use as third-line therapy in patients with metastatic breast cancer (VESPRY): a prospective, multicentre, observational study.

Authors:  Vincenzo Adamo; Giuseppina Rosaria Rita Ricciardi; Dario Giuffrida; Giuseppa Scandurra; Antonio Russo; Livio Blasi; Pietro Spadaro; Carmelo Iacono; Hector J Soto Parra; Antonino Savarino; Francesco Ferraú; Filippo Zerilli; Francesco Verderame; Alfredo Butera; Carlo Santangelo; Veronica Franchina; Michele Caruso
Journal:  Ther Adv Med Oncol       Date:  2019-12-19       Impact factor: 8.168

8.  A nationwide, multicenter retrospective study on the effectiveness and safety of eribulin in Korean breast cancer patients (REMARK).

Authors:  Min Ho Park; Soo Jung Lee; Woo Chul Noh; Chang Wan Jeon; Seok Won Lee; Gil Soo Son; Byung-In Moon; Jin Sun Lee; Sung Soo Kang; Young Jin Suh; Geumhee Gwak; Tae Hyun Kim; Young Bum Yoo; Hyun-Ah Kim; Min Young Kim; Ju Yeon Kim; Joon Jeong
Journal:  Breast       Date:  2020-09-16       Impact factor: 4.380

9.  Impact of the number of prior chemotherapy regimens on outcomes for patients with metastatic breast cancer treated with eribulin: A post hoc pooled analysis.

Authors:  Javier Cortes; Chris Twelves
Journal:  Breast J       Date:  2019-11-29       Impact factor: 2.431

10.  5th ESO-ESMO international consensus guidelines for advanced breast cancer (ABC 5).

Authors:  F Cardoso; S Paluch-Shimon; E Senkus; G Curigliano; M S Aapro; F André; C H Barrios; J Bergh; G S Bhattacharyya; L Biganzoli; F Boyle; M-J Cardoso; L A Carey; J Cortés; N S El Saghir; M Elzayat; A Eniu; L Fallowfield; P A Francis; K Gelmon; J Gligorov; R Haidinger; N Harbeck; X Hu; B Kaufman; R Kaur; B E Kiely; S-B Kim; N U Lin; S A Mertz; S Neciosup; B V Offersen; S Ohno; O Pagani; A Prat; F Penault-Llorca; H S Rugo; G W Sledge; C Thomssen; D A Vorobiof; T Wiseman; B Xu; L Norton; A Costa; E P Winer
Journal:  Ann Oncol       Date:  2020-09-23       Impact factor: 32.976

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