Next Article in Journal
CEP-1347 Dually Targets MDM4 and PKC to Activate p53 and Inhibit the Growth of Uveal Melanoma Cells
Previous Article in Journal
The Role of Receptor–Ligand Interaction in Somatostatin Signaling Pathways: Implications for Neuroendocrine Tumors
 
 
cancers-logo
Article Menu

Article Menu

Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Clinical Outcomes of HER2-Negative Metastatic Breast Cancer Patients in Italy in the Last Decade: Results of the GIM 13-AMBRA Study

by
Marina Elena Cazzaniga
1,2,*,†,
Paolo Pronzato
3,
Domenico Amoroso
4,
Antonio Bernardo
5,
Laura Biganzoli
6,
Giancarlo Bisagni
7,
Livio Blasi
8,
Emilio Bria
9,
Francesco Cognetti
10,
Lucio Crinò
11,
Michelino De Laurentiis
12,
Lucia Del Mastro
3,
Sabino De Placido
13,
Alessandra Beano
14,
Francesco Ferraù
15,
Silva Foladore
16,
Rosachiara Forcignanò
17,
Teresa Gamucci
18,
Ornella Garrone
19,
Alessandra Gennari
20,
Monica Giordano
21,
Francesco Giotta
22,
Filippo Giovanardi
23,
Luciano Latini
24,
Lorenzo Livi
25,
Paolo Marchetti
26,
Rodolfo Mattioli
27,
Andrea Michelotti
28,
Filippo Montemurro
29,
Carlo Putzu
30,
Ferdinando Riccardi
31,
Giuseppina Ricciardi
32,
Emanuela Romagnoli
33,
Giuseppina Sarobba
34,
Simon Spazzapan
35,
Pierosandro Tagliaferri
36,
Nicola Tinari
37,
Giuseppe Tonini
38,
Anna Turletti
39,
Claudio Verusio
40,
Alberto Zambelli
41 and
Giorgio Mustacchi
42,†
add Show full author list remove Hide full author list
1
Fondazione IRCCS San Gerardo dei Tintori, 20900 Monza, Italy
2
School of Medicine and Surgery, Università Milano Bicocca, 20900 Monza, Italy
3
Oncologia Medica IRCCS IRST San Martino, 16100 Genova, Italy
4
Oncologia Medica, Ospedale Versilia USL Nord Ovest Toscana, 55041 Lido di Camaiore, Italy
5
Oncologia Istituti Clinici Scientifici Maugeri Spa Società Benefit, 27100 Pavia, Italy
6
U.O. Oncologia Medica, Ospedale Santo Stefano, 59100 Prato, Italy
7
Oncologia Medica, IRCCS Arcispedale S. Maria Nuova, 42121 Reggio Emilia, Italy
8
Oncologia Medica, ARNAS Civico–Di Cristina-Benfratelli, Presidio Ospedaliero ‘Civico e Benfratelli’, 20121 Palermo, Italy
9
Oncologia Medica, A.O.U. Integrata Verona, Ospedale Borgo Roma, 37100 Verona, Italy
10
Oncologia Medica 1, Istituto Nazionale Tumori “Regina Elena”, 00042 Roma, Italy
11
Oncologia, Ospedale S. Maria della Misericordia, 06121 Perugia, Italy
12
Breast Oncology Unit, INT Fondazione Giovanni Pascale-IRCCS, 80013 Napoli, Italy
13
Oncologia Medica, Dipartimento di Medicina Clinica e Chirurgia, Università degli Studi Federico II, 80013 Napoli, Italy
14
Oncologia Medica, Città della Salute e della Scienza, ASL “Città di Torino”, 10024 Torino, Italy
15
Oncologia Medica, Ospedale S. Vincenzo, 98039 Taormina, Italy
16
SSD Oncologica e dell’apparato Riproduttivo Femminile, Azienda Sanitaria Universitaria “Giuliano Isontina, 34121 Trieste, Italy
17
Oncologia Medica, Ospedale Vito Fazzi, 73100 Lecce, Italy
18
Oncologia Medica, ASL Roma 2, 00042 Roma, Italy
19
Oncologia Medica, Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, 20100 Milano, Italy
20
Oncologia Medica, Azienda Ospedaliero-Universitaria Maggiore della Carità di Novara, Dipartimento di Medicina e Chirurgia, Università degli Studi del Piemonte Orientale, 28100 Novara, Italy
21
SC Oncologia, Asst-Lariana, 22100 Como, Italy
22
Oncologia, IRCCS Istituto Tumori ‘Giovanni Paolo II’, 70100 Bari, Italy
23
UOS Day Hospital Oncologico, AUSL Reggio Emilia, Presidio Ospedaliero di Guastalla, 42016 Guastalla, Italy
24
Oncologia, Ospedale di Macerata, 62100 Macerata, Italy
25
Dipartimento di Scienze Biomediche, Sperimentali e Cliniche ‘Mario Serio’, Università degli Studi di Firenze, UOC Radioterapia, A.O.U. Careggi, 50100 Firenze, Italy
26
Oncologia Medica, IDI IRCCS, 00042 Roma, Italy
27
Oncologia Medica, A.O. Ospedali Riuniti Marche Nord-Ospedale Santa Croce, 61032 Fano, Italy
28
Oncologia Medica, Azienda Ospedaliera Pisana, 56121 Pisa, Italy
29
Fondazione del Piemonte per l’Oncologia-Istituto di Ricovero e Cura a Carattere Scientifico (I.R.C.C.S.), 10024 Torino, Italy
30
Oncologia Medica, AOU Sassari, 07100 Sassari, Italy
31
Oncologia Medica, Azienda Ospedaliera ‘A. Cardarelli’ (AORN), 80013 Napoli, Italy
32
Oncologia Medica, Ospedale Papardo, 98121 Messina, Italy
33
Oncologia Medica, AV Macerata, 62100 Macerata, Italy
34
Oncologia Medica, Ospedale ‘San Francesco’, Azienda Sanitaria Locale 3 Nuoro, 08100 Nuoro, Italy
35
Centro di Riferimento Oncologico, IRCCS, 33081 Aviano, Italy
36
Oncologia Medica, A.O.U. ‘Mater Domini’, 88100 Catanzaro, Italy
37
Oncologia Medica, Policlinico ‘SS. Annunziata’, 66100 Chieti, Italy
38
Policlinico Universitario Campus Biomedico, 00042 Roma, Italy
39
Presidio Ospedaliero Martini, ASL TO1, 10024 Torino, Italy
40
Oncologia Medica, ASST della Valle Olona, Ospedale di Saronno, 21047 Saronno, Italy
41
Oncologia Medica, ASST Papa Giovanni XXIII, Ospedale Papa Giovanni XXIII, 24100 Bergamo, Italy
42
Università degli Studi di Trieste, 34100 Trieste, Italy
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Cancers 2024, 16(1), 117; https://doi.org/10.3390/cancers16010117
Submission received: 13 October 2023 / Revised: 14 November 2023 / Accepted: 8 December 2023 / Published: 25 December 2023
(This article belongs to the Section Cancer Metastasis)

Abstract

:

Simple Summary

Breast cancer is one of the most common oncological diseases among women in Western Countries and Italy as well. GIM 13-AMBRA is a patient journey study regarding how the prognosis of metastatic breast cancer patients has changed in the last decades as a result of the introduction of new drugs in clinical practice. This study also provides information regarding the different natural histories of breast cancer according to the presence or absence of hormone receptors and HER2 receptors.

Abstract

GIM 13-AMBRA is a longitudinal cohort study aimed at describing therapeutic strategies and the relative outcome parameters in 939 HER2-ve MBC patients. Taxanes–based regimens, or taxanes + targeted agents, mainly Bevacizumab, were the preferred first choice in both Luminal (30.2%) and TNBC (33.3%) patients. The median PFS1 was 12.5 months (95% CI 16.79–19.64), without any significant difference according to subtypes, while the median Time to first Treatment Change (TTC1) was significantly lower in TNBC patients (7.7 months—95% CI 5.7–9.2) in comparison to Luminal A (13.2 months, 95% CI 11.7–15.1) and Luminal B patients (11.8 months, 95% CI 10.3–12.8). PFS2 was significantly shorter in TNBC patients (5.5 months, 95% CI 4.3–6.5 vs. Luminal A—9.4, 95% CI 8.1–10.7, and Luminal B—7.7 95% CI 6.8–8.2, F-Ratio 4.30, p = 0.014). TTC2 was significantly lower in patients with TNBC than in those with the other two subtypes. The median OS1 was 35.2 months (95% CI 30.8–37.4) for Luminal A patients, which was significantly higher than that for both Luminal B (28.9 months, 95% CI 26.2–31.2) and TNBC (18.5 months, 95% CI 16–20.1, F-ratio 7.44, p = 0.0006). The GIM 13—AMBRA study is one of the largest collections ever published in Italy and provides useful results in terms of time outcomes for first, second, and further lines of treatment in HER2- MBC patients.

1. Introduction

Breast cancer (BC) is currently the leading cause of cancer–related death among women worldwide [1]. Stage and Region distribution [2] highlights that, in Italy, incidence accounts for approximately 55,000 newly diagnosed cases per year, and mortality accounts for 13,000 deaths [3]. Despite significant progress in the treatment of the primary tumor, approximately 30% of breast cancers are destined to develop distant metastases [4,5]. The clinical course of metastatic breast cancer (MBC) is very heterogeneous in terms of the growth rate and response to systemic therapies, and treatment remains a palliative cure. The median survival time is approximately 2 years for some subtypes. There is no standard chemotherapy strategy for HER2- tumors, which represent 80–85% of all BCs cases [5]. The only available Italian ‘real life’ study is the IRIS study [6], which described the relapse patterns and treatment modalities in a longitudinal cohort of 539 metastatic patients enrolled between 1999 and 2001. Randomized clinical trials (RCTs) remain the cornerstone in determining the efficacy and safety of new treatments. However, they are not fully representative of MBC patients, especially in terms of the exclusion criteria. Outcome parameters usually adopted in RCTs, such as Progression Free Survival (PFS), are based on time points defined a priori, a situation that cannot be applied in observational studies. The GIM 13-AMBRA study is a longitudinal cohort study aiming to describe therapeutic choices for HER2- MBC in real life in Italy. The main objective of the GIM 13-AMBRA study was to describe the therapeutic strategies in terms of first, second, and subsequent lines of treatment in a cohort of HER2- MBC patients receiving at least one line of chemotherapy (CHT) and the related outcome measures, including Time to Treatment Change (TTC), which could be used in place of PFS in future real-world studies.

2. Materials and Methods

2.1. Study Design

The GIM 13 AMBRA is a longitudinal cohort study that collected data from the first 50 consecutive HER2-MBC patients who started a first, second, or subsequent line CHT between January 2012 and December 2016. A total of 42 centers were selected from the 192 national Centers listed in the “Libro Bianco 2012 of the Italian Association of Medical Oncology—AIOM)”, according to hospital type and geographical distribution. Eligible patients were females aged 18 years or older with newly diagnosed MBC who provided written informed consent. All centers were authorized by their Ethical Committees (ECs) after approval from the Coordinating Center EC (CE Brianza).

2.2. Objectives

The primary objective was to describe the strategies in terms of the first, second, and subsequent lines of treatment in patients receiving at least one chemotherapy line (CHT) and the relative outcome parameters. Secondary objectives were to (1) evaluate any possible correlations between the choice of treatment, both in the adjuvant phase and for metastatic disease and patient characteristics (age, menopausal status, and comorbidities); (2) estimate recurrence patterns and clinical outcomes (TTC; PFS and OS); and (3) evaluate adherence to literature recommendations for therapeutic sequences in the clinical practice. Here, we present the results of the primary objective.

2.3. Definitions

HER2 and HR status were derived from the pathological report of the primary tumor tissue or the metastatic one in the case of de novo disease. Tumor subtypes were defined according to the definitions provided by Prat et al. [7,8].

2.4. Statistical Analysis

The primary endpoint was the distribution of drugs and regimens, and qualitative data were described using frequency and percentage distribution. The clinical outcomes were Disease–free Survival (DFS), defined as the time between primary diagnosis and death; Progression–Free Survival at first–line (PFS1) or second–line treatment (PFS2), defined as the time between first/second–line therapy start and time to progression, as assessed by the investigator or censored at date of latest news; and Time to Treatment Change of first–line (TTC1) or second–line (TTC2) therapy, defined as the time between the start date, declared by Investigator, of first or second–line treatment and the date, not defined a priori due to the observational design of the study, of subsequent therapy start. OS was defined as the time between the date of diagnosis of metastatic disease and the date of death (any cause) or censored to the date of the latest news. All these variables will be implemented using Kaplan–Meyer survival curves, and when indicated, the differences will be evaluated using Fisher’s exact test. Analyses were performed using the NCSS® 12 Statistical Software 2018 (Kaysville, UT, USA). Continuous variables were evaluated using descriptive statistics (including the number of patients, mean, standard deviation, median, minimum, 25th and 75th percentiles, and maximum). Categorical variables were evaluated using frequencies and percentages. The F-ratio, defined as the ratio of the between–group variance (MSB) to the within–group variance (MSW), was used to determine any differences between groups. Data, which include patient demographics and tumor characteristics, outcomes, and treatment strategies, were implemented on an electronic platform specifically set up on a dedicated website. Considering that approximately 15,000 new cases of MBC are treated in Italy every year, a sample of 1000 cases is representative of the entire Italian population. One year of observation will make it possible to achieve both the primary and secondary objectives.

3. Results

Between May 2015 and September 2020, 1071 patients were enrolled, of whom 132 (12.3%) were not considered eligible due to (1) incomplete information about the 1st-line setting and (2) other reasons. The median age at primary tumor diagnosis was 51.9 years (range: 50.6–52.9). Table S1 summarizes the characteristics of patients and tumors characteristics at diagnosis, according to breast cancer subtypes.
No difference in the median age or stage at diagnosis was observed among the 3 different subtypes. (Figure S1). Most patients received adjuvant CHT (71.8%), mainly a combination of anthracycline + taxanes (305, 31.5%) or anthracycline + other drugs (266, 28.3%). Interestingly, a significant percentage (261, 67.6%) of Luminal A patients received adjuvant chemotherapy, and the preferred choice was an anthracycline-based combination (125, 32.4%), whereas the preferred adjuvant choice for TNBC patients was an anthracycline-taxane regimen (305, 31.5%) (Table 1).
Median Disease–Free Survival (DFS) was 57.2 months (95% CI 53.2–63.8) and was significantly longer in Luminal A (87 months, 95% CI: 75.3–91.7) vs. Luminal B (50.7 months, 95% CI 46.4–56.5; HR = 0.71 (0.62–0.82)) and TNBC patients (24.3 months, 95% CI 21.6–29.2; TNBC/Luminal A: HR = 2.22 (1.74–2.83); TNBC/Luminal B: HR = 1.74 (1.39–2.17)) (Figure 1 and Table 2).
Information about the first site of relapse was available for 922 out of the 939 patients (98.2%). Luminal A and Luminal B patients presented a different pattern of relapse, with Luminal A patients relapsing mainly at the bone (31.9%), whereas Luminal B patients relapsed at both bone (24.0%) and bone + viscera (20.8%) as well as viscera alone (23.5%) (Table 3).
As first-line treatment, Luminal patients mainly received ET, alone (42%), or sequentially to CHT (29.2%). Taxanes-based regimens, or taxanes + targeted agents, mainly Bevacizumab, were the preferred first choices in both Luminal (30,2%) and TNBC (33.3%) patients (Table 4).
We also collected the main adverse events (AEs) for 1st-line treatments: Grade 3 toxicity (any type) was mainly present during the first cycle (11.0%) and decreased during the subsequent cycles, while the incidence of Grade 4 AEs was negligible (max 0.72% in patients receiving >6 cycles).
The median PFS1 was 12.5 months (95% CI 16.79–19.64), without any significant difference according to subtypes (Luminal A 18.03 months, Luminal B 15.95 months, and TNBC 14.04 months), while median TTC1 was significantly lower in TNBC patients (7.7 months—95% CI 5.7–9.2) compared to Luminal A (13.2 months, 95% CI 11.7–15.1) and Luminal B patients (11.8 months, 95% CI 10.3–12.8) (Figure 2).
As expected, second–line treatments were significantly different in Luminal A & B vs. TNBC patients: most of the Luminal patients received endocrine therapy (29%), or, in the case of CHT, Capecitabine ± Vinorelbine, whereas TNBC was mainly treated with platinum–based regimens (22.4%), or with Capecitabine ± Vinorelbine (21%). The PFS of second–line treatment (PFS2) was significantly shorter in TNBC patients (5.5 months, 95% CI 4.3–6.5 vs. Luminal A—9.4, 95% CI 8.1–10.7 and Luminal B—7.7 95% CI 6.8–8.2, F-Ratio 4.30, p = 0.014). Similarly, the Time to second treatment change (TTC2) was significantly lower in TNBC patients than in the other 2 subtypes (Figure 3 and Figure 4).
The median OS from primary diagnosis was 10 years for Luminal A patients and 7 and 3.6 years for Luminal B and TNBC patients, respectively (p = 0.0006). (Figure 5).
The median OS from the first progression (PD1) was 35.2 months (95% CI 30.8–37.4) for Luminal A patients, significantly higher than both Luminal B (28.9 months, 95% CI 26.2–31.2) and TNBC ones (18.5 months, 95% CI 16–20.1, F-ratio 7.44, p = 0.0006) (Figure 6).
Outcome parameters for DFS, TTC1, TTC2, OS, and OS from PD1 are summarized in Table S2.

4. Discussion

The GIM 13-AMBRA study is a large-scale Italian real-world cohort study on HER2- MBC treatments and a unique opportunity for evaluating ‘historical’ PFS results under commonly used first, second, and subsequent lines of chemotherapy. Considering the study design and the main inclusion criteria, our population is representative of a high-risk cohort of BC patients, and this was confirmed by the high percentages of N + ve (61.76%) and Grade 3 (50.47%) tumors at diagnosis.
In the years under study, more than 70% of the patients were treated with CHT in the adjuvant setting, regardless of molecular subtype: a large use of CHT especially in Luminal A patients (67.6%) reflects the lack of tools, like genomic signatures, able to identify patients at a higher risk of relapse for whom CHT remains mandatory [7]. Anthracyclines represented the most commonly used agents in Luminal A patients, especially in combination with 5-Fluorouracil and Cyclophosphamide (44.2%), and recent data from the GIM 2 study [8] no longer support the use of this drug in adjuvant treatments considering the absence of improvement in outcome.
In terms of median PFS of first–line treatment (PFS1), our results are very similar to those reported in the ESME study for the Luminal patients, which showed a median PFS under first–line therapy of 9.6 months for the whole population (95% CI, 9.4–9.9) and 10.7 months (95% CI, 10.5–11.0) in the HR + /HER2- subgroup. The advent of Cyclin–Dependent Kinase 4/6 inhibitors (CDK 4/6i), Palbociclib, Abemaciclib and Ribociclib, in combination with Aromatase Inhibitors in endocrine-sensitive patients has dramatically changed the outcome of Luminal patients: median PFS1 is now around 25 months [9,10,11], thus far, also resulted in delaying the time to meet CHT needs. In addition, Ribociclib in combination with letrozole showed an improvement in OS (63.9, 95% CI 52.4 to 71.0) in the Monaleesa-2 trial [9]. Whether CDK 4/6i will definitely change the natural course of Luminal cancers is still a matter of debate: preliminary data from some small and heterogeneous trials [12] suggest that there is no recommended sequence at the category 1 level in international guidelines. Randomized clinical trials are still underway, and subsequent treatments will be used in patients with progressive disease under CDK 4/6i + ET. The approximately 7-month PFS obtained in the phase 2 ByLieve study, which evaluated the efficacy of alpelisib in patients who had previously received CDKi-based therapy, indicated that alpelisib + fulvestrant might be effective in PIK3CA mutant patients [13].
On the contrary, very little has changed for the TNBC patients over the last decade: median PFS1 was 8.8 months (95% CI 6.7–10.2) vs. 4.8 months (95% CI, 4.6–5.1) described in the ESME collection. No details regarding the type of CHT have been reported in this latter study; thus far, we cannot derive conclusive affirmations.
In our study, the median OS from primary diagnosis was 10 years for Luminal A patients and 7 and 3.6 years for Luminal B and TNBC patients, respectively (p = 0.0006). Since 2008, different drugs have demonstrated an OS benefit in MBC patients, particularly eribulin in HER2-VEve MBC [14]. In the ESME cohort, the median OS of the entire study population was 37.22 months (95% CI, 36.3–38.04) and 14.52 months (95% CI, 13.70–15.24) in the TNBC sub–cohort. The Authors highlighted the lack of significant improvement in luminal (HR+/HER2-VE) and TNBC triple-negative subtypes (HR-/HER2-VE) over the considered period (2008–2014), suggesting that these results may be linked to the too recent introduction of some innovative drugs, or to the limited impact of some others. Our results indicate the use of some targeted agents, mainly bevacizumab, in both Luminal (20%) and TNBC patients (25%) patients. Despite a lack of evidence of OS improvement in RCTs [15], various real-world studies showed different results: a cost–effectiveness analysis clearly indicated that the combination of bevacizumab plus paclitaxel was likely to be cost-effective compared with paclitaxel alone for the first–line treatment of HER2-VEve MBC [16] and the ATHENA trial reported a median TTP of 9.5 months (95% CI: 9.1–9.9) [17].
The identification of different molecular subtypes of TNBC by Lehmann et al. [18] allowed a different and more tailored approach according to the related gene expression in recent years, such as immunotherapy in PDL-1+ve patients. In the IMPassion130 trial [19], median PFS was longer in the atezolizumab–nab-paclitaxel group than in the placebo group (ITT: median 7.2 months vs. 5.5 months, HR 0.8; PD-L1+: 7.5 vs. 5.0 months, HR 0.62), even if the final OS analysis showed a statistically significant OS improvement only in the PD-L1+ population. Similar results have been obtained with pembrolizumab plus chemotherapy: median PFS was 9.7 months in the pembrolizumab + chemotherapy arm and 5.6 months in the placebo arm (HR 0.65), and median OS was 23.0 vs. 16.1 months (HR 0.73). In light of these results, compared to our data obtained at different times and with different drugs, we can conclude that there is still a long way to go for mTNBC patients.
One of the aims of our study was also to investigate the role of TTC as a surrogate for PFS in real–world studies. The median PFS1 and median TTC1 were very similar in all patients. We performed an analysis focusing on the comparison between TTC1 and PFS1 of Paclitaxel + Bevacizumab (PB) as an example of TTC performance in real–world studies (RWS): median TTC was 9.36 months (40.67 weeks) and median PSF 10.8 (46.92 weeks). The difference at 6.2 weeks was not significant (Wilcoxon rank–sum test, α 0.050, p = 0.089) and was within the preplanned boundary limit. PFS1 for the PB regimen was 1-month shorter vs. that reported in the ECOG 2100 trial [15] and seems reliable for the clinical setting due to the different populations enrolled. Based on these results, we suggest that TTC is a valid surrogate endpoint of PFS in RWS and should be considered in future observational trials.
GIM 13-13 AMBRA data provide the national and international oncology community with real-life survival data that can be used as strong references for future clinical trials and for a better understanding of the real improvement of new drugs compared to the control arms.
This study has some limitations that can be summarized as follows: (1) the retrospective nature of the trial, (2) information about subtype classification, (3) retrospective collection of treatment decisions and time points, (4) representativeness of all MBC patients across Italy, and (5) absence of patient–reported outcomes.

5. Conclusions

The GIM 13-AMBRA study is one of the largest collections ever published in Italy and has provided useful results in terms of time outcomes for first, second, and further lines of treatment in HER2-VEve MBC patients. It would be interesting to repeat this collection in a more recent time, especially to evaluate the impact of new drug introduction into clinical practice.

Supplementary Materials

The following supporting information can be downloaded at https://www.mdpi.com/article/10.3390/cancers16010117/s1. Table S1. Patients’ and tumor’s characteristics at diagnosis. Table S2. Outcome parameters according to subtypes (MANOVA). Figure S1. Stage by subtype.

Author Contributions

Conceptualization, M.E.C., P.P. and G.M.; Methodology, G.M.; Formal Analysis, G.M.; Investigation, All Authors; Data Curation, M.E.C. and G.M.; Writing—Original Draft Preparation, M.E.C.; Writing—Review & Editing, M.E.C. and G.M.; Supervision, M.E.C., P.P. and G.M. Study design, data collection, analysis, and interpretation of data were independently conducted by M.E.C. and G.M. Writing of the report and decision to submit the article for publication were performed by M.E.C., P.P. and G.M. after a shared decision with GIM. All authors have read and agreed to the published version of the manuscript.

Funding

This study was supported by an unconditioned grant from Celgene srl to Gruppo Italiano Mammella (GIM), which served as the Sponsor of the trial, G.M. supported by Oncotech srl.

Institutional Review Board Statement

The study was conducted in accordance with to the guidelines of the Declaration of Helsinki and approved by the Ethics Committee of Brianza (protocol code GIM 13-AMBRA and date of approval 11 October 2018).

Informed Consent Statement

Informed consent was obtained from all the subjects involved in the study.

Data Availability Statement

Data supporting reported results can be found at Oncotech.

Acknowledgments

Authors acknowledge administrative and technical support from Oncotech.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Sung, H.; Ferlay, J.; Siegel, R.L.; Laversanne, M.; Soerjomataram, I.; Jemal, A.; Bray, F. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA Cancer J. Clin. 2021, 71, 209–249. [Google Scholar] [CrossRef] [PubMed]
  2. Mangone, L.; Bisceglia, I.; Michiara, M.; Musolino, A.; Mazzoleni, G.; Caldarella, A.; Minerba, S.; Cascone, G.; Bella, F.; Dinaro, Y.; et al. Breast Cancer in Italy: Stage and Region Distribution. Breast Cancer 2022, 14, 125–131. [Google Scholar] [CrossRef] [PubMed]
  3. I Numeri del Cancro in Italia 2020; Intermedia Editore: Brescia, Italy, 2020.
  4. Sørlie, T.; Perou, C.M.; Tibshirani, R.; Aas, T.; Geisler, S.; Johnsen, H.; Hastie, T.; Eisen, M.B.; van de Rijn, M.; Jeffrey, S.S.; et al. Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications. Proc. Natl. Acad. Sci. USA 2001, 98, 10869–10874. [Google Scholar] [CrossRef] [PubMed]
  5. Kennecke, H.; Yerushalmi, R.; Woods, R.; Cheang, M.C.U.; Voduc, D.; Speers, C.H.; Nielsen, T.O.; Gelmon, K. Metastatic behavior of breast cancer subtypes. J. Clin. Oncol. 2010, 28, 3271–3277. [Google Scholar] [CrossRef] [PubMed]
  6. Cazzaniga, M.; Pronzato, P.; di Priolo, S.L.; De Matteis, A.; Di Costanzo, F.; Passalacqua, R.; Rosso, R.; Torri, V. Patterns of relapse and modalities of treatment of breast cancer: The ‘IRIS’ Project, a multicenter observational study. Oncology 2004, 66, 260–268. [Google Scholar] [CrossRef] [PubMed]
  7. Prat, A.; Cheang, M.C.U.; Martín, M.; Parker, J.S.; Carrasco, E.; Caballero, R.; Tyldesley, S.; Gelmon, K.; Bernard, P.S.; Nielsen, T.O.; et al. Prognostic significance of progesterone receptor-positive tumor cells within immunohistochemically defined luminal A breast cancer. J. Clin. Oncol. 2013, 31, 203–209. [Google Scholar] [CrossRef] [PubMed]
  8. Maisonneuve, P.; Disalvatore, D.; Rotmensz, N.; Curigliano, G.; Colleoni, M.; Dellapasqua, S.; Pruneri, G.; Mastropasqua, M.G.; Luini, A.; Bassi, F.; et al. Proposed new clinicopathological surrogate definitions of luminal A and luminal B (HER2-VEnegative) intrinsic breast cancer subtypes. Breast Cancer Res. 2014, 16, R65. [Google Scholar] [CrossRef] [PubMed]
  9. Conlin, A.K.; Seidman, A.D. Use of the Oncotype DX 21-gene assay to guide adjuvant decision making in early-stage breast cancer. Mol. Diagn. Ther. 2007, 11, 355–360. [Google Scholar] [CrossRef] [PubMed]
  10. Del Mastro, L.; Poggio, F.; Blondeaux, E.; De Placido, S.; Giuliano, M.; Forestieri, V.; De Laurentiis, M.; Gravina, A.; Bisagni, G.; Rimanti, A.; et al. Fluorouracil and dose-dense adjuvant chemotherapy in patients with early-stage breast cancer (GIM2): End-of-study results from a randomised, phase 3 trial. Lancet Oncol. 2022, 23, 1571–1582. [Google Scholar] [CrossRef] [PubMed]
  11. Hortobagyi, G.N.; Stemmer, S.M.; Burris, H.A.; Yap, Y.-S.; Sonke, G.S.; Paluch-Shimon, S.; Campone, M.; Petrakova, K.; Blackwell, K.L.; Winer, E.P.; et al. Updated results from MONALEESA-2, a phase III trial of first-line ribociclib plus letrozole versus placebo plus letrozole in hormone receptor-positive, HER2-negative advanced breast cancer. Ann. Oncol. 2018, 29, 1541–1547. [Google Scholar] [CrossRef] [PubMed]
  12. Rugo, H.S.; Finn, R.S.; Diéras, V.; Ettl, J.; Lipatov, O.; Joy, A.A.; Harbeck, N.; Castrellon, A.; Iyer, S.; Lu, D.R.; et al. Palbociclib plus letrozole as first-line therapy in estrogen receptor-positive/human epidermal growth factor receptor 2-negative advanced breast cancer with extended follow-up. Breast Cancer Res. Treat. 2019, 174, 719–729. [Google Scholar] [CrossRef] [PubMed]
  13. Johnston, S.; Martin, M.; Di Leo, A.; Im, S.-A.; Awada, A.; Forrester, T.; Frenzel, M.; Hardebeck, M.C.; Cox, J.; Barriga, S.; et al. MONARCH 3 final PFS: A randomized study of abemaciclib as initial therapy for advanced breast cancer. NPJ Breast Cancer 2019, 5, 5. [Google Scholar] [CrossRef] [PubMed]
  14. Hortobagyi, G.N.; Stemmer, S.M.; Burris, H.A.; Yap, Y.-S.; Sonke, G.S.; Hart, L.; Campone, M.; Petrakova, K.; Winer, E.P.; Janni, W.; et al. Overall Survival with Ribociclib plus Letrozole in Advanced Breast Cancer. N. Engl. J. Med. 2022, 386, 942–950. [Google Scholar] [CrossRef] [PubMed]
  15. Karacin, C.; Oksuzoglu, B.; Demirci, A.; Keskinkılıç, M.; Baytemür, N.K.; Yılmaz, F.; Selvi, O.; Erdem, D.; Avşar, E.; Paksoy, N.; et al. Efficacy of subsequent treatments in patients with hormone-positive advanced breast cancer who had disease progression under CDK 4/6 inhibitor therapy. BMC Cancer 2023, 23, 136. [Google Scholar] [CrossRef]
  16. Rugo, H.S.; Lerebours, F.; Ciruelos, E.; Drullinsky, P.; Ruiz-Borrego, M.; Neven, P.; Park, Y.H.; Prat, A.; Bachelot, T.; Juric, D.; et al. Alpelisib plus fulvestrant in PIK3CA-mutated, hormone receptor-positive advanced breast cancer after a CDK4/6 inhibitor (BYLieve): One cohort of a phase 2, multicentre, open-label, non-comparative study. Lancet Oncol. 2021, 22, 489–498. [Google Scholar] [CrossRef] [PubMed]
  17. Cortes, J.; O’Shaughnessy, J.; Loesch, D.; Blum, J.L.; Vahdat, L.T.; Petrakova, K.; Chollet, P.; Manikas, A.; Diéras, V.; Delozier, T.; et al. Eribulin monotherapy versus treatment of physician’s choice in patients with metastatic breast cancer (EMBRACE): A phase 3 open-label randomised study. Lancet 2011, 377, 914–923. [Google Scholar] [CrossRef] [PubMed]
  18. Gray, R.; Bhattacharya, S.; Bowden, C.; Miller, K.; Comis, R.L. Independent review of E2100: A phase III trial of bevacizumab plus paclitaxel versus paclitaxel in women with metastatic breast cancer. J. Clin. Oncol. 2009, 27, 4966–4972. [Google Scholar] [CrossRef] [PubMed]
  19. Robert, N.J.; Diéras, V.; Glaspy, J.; Brufsky, A.M.; Bondarenko, I.; Lipatov, O.N.; Perez, E.A.; Yardley, D.A.; Chan, S.Y.; Zhou, X.; et al. RIBBON-1: Randomized, double-blind, placebo-controlled, phase III trial of chemotherapy with or without bevacizumab for first-line treatment of human epidermal growth factor receptor 2-negative, locally recurrent or metastatic breast cancer. J. Clin. Oncol. 2011, 29, 1252–1260. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Disease-Free Survival according to subtypes.
Figure 1. Disease-Free Survival according to subtypes.
Cancers 16 00117 g001
Figure 2. TTC 1 according to subtypes.
Figure 2. TTC 1 according to subtypes.
Cancers 16 00117 g002
Figure 3. PFS2 according to subtypes.
Figure 3. PFS2 according to subtypes.
Cancers 16 00117 g003
Figure 4. TTC2 according to subtypes.
Figure 4. TTC2 according to subtypes.
Cancers 16 00117 g004
Figure 5. Overall Survival (OS) according to subtypes.
Figure 5. Overall Survival (OS) according to subtypes.
Cancers 16 00117 g005
Figure 6. Overall Survival from first progression (OS1) according to subtypes.
Figure 6. Overall Survival from first progression (OS1) according to subtypes.
Cancers 16 00117 g006
Table 1. Adjuvant therapies in the whole population and according to subtypes.
Table 1. Adjuvant therapies in the whole population and according to subtypes.
Luminal A
(N = 386)
Luminal B
N = 408
TNBC
N = 145
All Patients
N = 939
None13 (3.4%)13 (3.2%)14 (9.6%)939
Endocrine therapy alone112 (29.0%)91 (22.3%)0203 (20.7%)
CHT + ET245 (63.5%)279 (68.4%)4 1528 (53.9%)
CHT regimens
Anthracycline-based125 (32.4%)109 (26.7%)32 (22.1%)266 (28.3%)
Anthracycline + Taxanes93 (24.1%)137 (33.6%)75 (51.7%)305 (31.5%)
taxanes 24 (1.0%)16 (3.9%)7 (4.8%)27 (2.9%)
CMF38 (9.8%)40 (9.8%)16 (11.0%)94 (10.0%)
Others 1214
1 A total of 4 patients with very low ER and PgR expression (<5%) received ET. 2 taxanes alone or in combination with other drugs are different from anthracyclines.
Table 2. Hazard Ratiologrank test for DFS.
Table 2. Hazard Ratiologrank test for DFS.
Subtypes ComparisonCox Mantel HR (95% CI)Cox Mantel Logrank Test Chi2
Luminal A/Luminal B0.71 (0.62–0.82)23.15
TNBC/Luminal A2.22 (1.74–2.83)70.59
TNBC/Luminal B1.74 (1.39–2.17)33.62
Table 3. Patterns of relapse according to subtypes.
Table 3. Patterns of relapse according to subtypes.
Luminal A
(N = 386)
Luminal B
N = 408
TNBC
N = 145
All Patients
N = 939
Bone123 (31.9%)98 (24.0%)9 (6.2%)230 (30.4%)
Bone + soft tissue21 (5.4%)22 (5.4%)7 (4.8%)50 (6.6%)
Viscera84 (21.8%)96 (23.5%)39 (26.9%)219 (28.9%)
Viscera + soft tissue29 (7.5%)33 (8.1%)23 (15.9%)85 (11.2%)
Viscera + bone68 (17.6%)85 (20.8%)13 (8.9%)166 (17.7%)
Soft tissue53 (13.7%)62 (15.2%)46 (31.7%)161 (21.3%)
Other4 (1.0%)3 (0.7%)1 (0.6%)4 (0.5%)
Not specified 17
Table 4. First–line treatment choices according to subtypes.
Table 4. First–line treatment choices according to subtypes.
Luminal A & B
N = 460 (%)
TNBC
N = 141 (%)
ET alone334 (42%) 0
Chemo + ET232 (29.2%)0
Chemotherapy regimens
Capecitabine +/− Vinorelbine82 (17.8)24 (17.02)
Paclitaxel + Bevacizumab139 (30.2)47 (33.33)
Platinum-based23 (5)25 (17.7)
Anthracycline-based44 (9.5)5 (3.5)
Anthracycline + Taxanes19 (4.13)2 (1.4)
Taxanes 133 (28.9)22 (15.6)
CMF4 (0.8)7 (4.9)
Other16 (3.4)9 (6.3)
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Cazzaniga, M.E.; Pronzato, P.; Amoroso, D.; Bernardo, A.; Biganzoli, L.; Bisagni, G.; Blasi, L.; Bria, E.; Cognetti, F.; Crinò, L.; et al. Clinical Outcomes of HER2-Negative Metastatic Breast Cancer Patients in Italy in the Last Decade: Results of the GIM 13-AMBRA Study. Cancers 2024, 16, 117. https://doi.org/10.3390/cancers16010117

AMA Style

Cazzaniga ME, Pronzato P, Amoroso D, Bernardo A, Biganzoli L, Bisagni G, Blasi L, Bria E, Cognetti F, Crinò L, et al. Clinical Outcomes of HER2-Negative Metastatic Breast Cancer Patients in Italy in the Last Decade: Results of the GIM 13-AMBRA Study. Cancers. 2024; 16(1):117. https://doi.org/10.3390/cancers16010117

Chicago/Turabian Style

Cazzaniga, Marina Elena, Paolo Pronzato, Domenico Amoroso, Antonio Bernardo, Laura Biganzoli, Giancarlo Bisagni, Livio Blasi, Emilio Bria, Francesco Cognetti, Lucio Crinò, and et al. 2024. "Clinical Outcomes of HER2-Negative Metastatic Breast Cancer Patients in Italy in the Last Decade: Results of the GIM 13-AMBRA Study" Cancers 16, no. 1: 117. https://doi.org/10.3390/cancers16010117

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop