Literature DB >> 30657852

Association of tumor-infiltrating lymphocytes with distant disease-free survival in the ShortHER randomized adjuvant trial for patients with early HER2+ breast cancer.

M V Dieci1, P Conte2, G Bisagni3, A A Brandes4, A Frassoldati5, L Cavanna6, A Musolino7, F Giotta8, A Rimanti9, O Garrone10, E Bertone11, K Cagossi12, S Sarti13, A Ferro14, F Piacentini15, A Maiorana16, E Orvieto17, M Sanders18, F Miglietta19, S Balduzzi20, R D'Amico20, V Guarneri1.   

Abstract

BACKGROUND: There is the need to identify new prognostic markers to refine risk stratification for HER2-positive early breast cancer patients. The aim of this study was to evaluate the association of tumor-infiltrating lymphocytes (TILs) with distant disease-free survival (DDFS) in patients with HER2-positive early breast cancer enrolled in the ShortHER adjuvant trial which compared 9 weeks versus 1-year trastuzumab in addition to chemotherapy, and to test the interaction between TILs and treatment arm. PATIENTS AND METHODS: Stromal TILs were assessed for 866 cases on centralized hematoxylin and eosin-stained tumor slides. The association of TILs as 10% increments with DDFS was assessed with Cox models. Kaplan-Meier curves were estimated for patients with TILs ≥20% and TILs <20%. Median follow-up was 6.1 years.
RESULTS: Median TILs was 5% (Q1-Q3 1%-15%). Increased TILs were independently associated with better DDFS in multivariable model [hazard ratio (HR) 0.73, 95% confidence interval (CI) 0.59-0.89, P = 0.006, for each 10% TILs increment]. Five years DDFS rates were 91.1% for patients with TILs <20% and 95.7% for patients with TILs ≥20% (P = 0.025). The association between 10% TILs increments and DDFS was significant for patients randomized to 9 weeks of trastuzumab (HR 0.60, 95% CI 0.41-0.88) but not for patients treated with 1 year of trastuzumab (HR 0.89, 95% CI 0.71-1.12; test for interaction P = 0.088). For patients with TILs <20%, the HR for the comparison between the short versus the long arm was 1.75 (95% CI 1.09-2.80, P=0.021); whereas, for patients with TILs ≥20% the HR for the comparison of short versus long arm was 0.23 (95% CI 0.05-1.09, P = 0.064), resulting in a significant interaction (P = 0.015).
CONCLUSIONS: TILs are an independent prognostic factor for HER2-positive early breast cancer patients treated with adjuvant chemotherapy and trastuzumab and may refine the ability to identify patients at low risk of relapse eligible for de-escalated adjuvant therapy.
© The Author(s) 2019. Published by Oxford University Press on behalf of the European Society for Medical Oncology.

Entities:  

Keywords:  HER2-positive breast cancer; adjuvant; early breast cancer; trastuzumab; tumor-infiltrating lymphocytes

Mesh:

Substances:

Year:  2019        PMID: 30657852      PMCID: PMC6442655          DOI: 10.1093/annonc/mdz007

Source DB:  PubMed          Journal:  Ann Oncol        ISSN: 0923-7534            Impact factor:   32.976


Key Message TILs are an independent prognostic factor for HER2-positive early breast cancer patients treated with adjuvant chemotherapy and trastuzumab. Low-TILs patients benefit from 1 year versus 9 weeks of adjuvant trastuzumab, whereas for high-TILs patients the outcome is excellent irrespective of trastuzumab duration. TILs may refine the ability to identify patients eligible for treatment de-escalation.

Introduction

The standard adjuvant systemic treatment of patients with HER2-positive early breast cancer includes chemotherapy combined with 1 year of trastuzumab [1]. In this scenario, where many patients experience an excellent prognosis with standard treatment, one major need is to develop de-escalated adjuvant treatment strategies for low-risk patients [2]. Non-inferiority of shorter trastuzumab duration has been tested in five prospective randomized trials [3-7]: although only one succeeded in demonstrating the non-inferiority of <1 year versus 1 year trastuzumab [3], a significant decrease in risk of cardiac toxicity with shorter treatment clearly emerged [3-7]. Therefore, there is the need for new prognostic and predictive biomarkers in order to better refine risk classification and identify HER2-positive patients eligible for de-escalated therapies. The role of the immune system in breast cancer is being increasingly recognized [8]. Tumor-infiltrating lymphocytes (TILs) are frequently present in HER2-positive breast cancer [9] and the mechanism of action of most anti-HER2 therapies implies an interaction with the immune system [10]. Higher levels of TILs are associated with increased pathological complete response rates after neoadjuvant treatment and improved long-term outcomes for HER2-positive early breast cancer patients [11-16]. However, results of TILs evaluation in the context of two randomized adjuvant trials of chemotherapy with or without trastuzumab showed discordant results for TILs prognostic value according to treatment [14, 16]. No study thus far has explored the role of TILs in a trial comparing shorter versus 1 year adjuvant trastuzumab. In this study we assessed the association between TILs and long-term outcome for HER2-positive breast cancer patients enrolled in the randomized phase III ShortHER trial which compared 9 weeks versus 1 year of trastuzumab.

Methods

Patients

The ShortHER trial [6] is a phase III multicentric trial of adjuvant therapy that randomized 1253 patients with HER2-positive early breast cancer to anthracycline and taxane-based chemotherapy combined with 1 year (arm A, long) or 9 weeks (arm B, short) of trastuzumab. Chemotherapy schedules were also different between the two arms (supplementary material, available at Annals of Oncology online). The study failed to demonstrate the non-inferiority of 9 weeks of trastuzumab: 5-year disease-free survival rates were 88% in the long and 85% in the short arm [HR 1.13, 90% confidence interval (CI) 0.89–1.42, pre-defined non-inferiority margin 1.29] [6]. The present analysis was approved by the competent Ethical Committee in November 2014, patients provided signed informed consent for tumor sample use for research purpose.

TILs and pathology evaluation

TILs were assessed on a single hematoxylineosin stained slide. Stromal TILs were scored according to pre-defined criteria [17]. All cases were scored by a single investigator (MVD) blinded for clinicopathological, treatment and follow-up data. A second investigator (MS) scored 383 cases in order to assess inter-rater agreement. HER-2 and hormone receptors status were assessed locally [6].

Statistical analysis

Statistical analysis was carried out using IBM SPSS Version 24. Association between variables was evaluated by χ2 test or Mann–Whitney test. Inter-rater agreement was evaluated with weighted κ statistic. The survival end point was distant disease-free survival (DDFS), calculated from the time from randomization until distant relapse or death, whichever first, as defined by DATECAN [18]. The choice of DDFS instead of disease-free survival (which was the primary end point of the ShortHER trial [6]) was driven by the fact that DDFS includes lethal events with the strongest impact on overall survival and is considered a preferred end point to uncover the prognostic value of biomarkers in ancillary studies [19]. For survival analysis, TILs were primarily considered as semi-continuous variable (10% increments). Kaplan–Meier curves were estimated for patients with low and high TILs by adopting the ≥20% cut-off. The cut-off point was arbitrarily chosen as the one able to identify a group of patients with a DDFS rate at 5 years of at least 95%, which was considered a clinically acceptable definition of low-risk patients. The previously proposed cut-off of TILs ≥50% [14] was not applicable in our study because too few patients would have been classified as having high TILs (7.8%, with 1 event only). Cox proportional regression models were used to calculate hazard ratio (HR) and 95% CI. Multivariable model included TILs (per 10% increments), age (continuous), stage (I versus II versus III), hormone receptor status (positive versus negative) and histologic grade (1–2 versus 3). To study the interaction between treatment arm and TILs, a cox model including arm, TILs and the interaction term was used. The Kaplan–Meier method was used to estimate survival curves and the log-rank test compared between groups. Level of significance was P < 0.05. No formal sample size calculation was carried out, since the sample population was based on the number of cases with centralized tumor samples suitable for the analysis.

Results

Patients characteristics

A total of 866 cases (69% of all randomized patients) were included in this analysis (TILs cohort, supplementary Figure S1, available at Annals of Oncology online). Table 1 shows characteristics of the TILs cohort patients and of patients not included in the TILs analysis (no-TILs cohort). The majority of TILs cohort patients were postmenopausal (65%), with stage I or II (85%), node negative (53%), hormone receptor positive (69%) and grade 3 tumors (71%). Characteristics were similar in the TILs cohort and in the no-TILs cohort, with the exception of age: TILs cohort patients were older than no-TILs cohort patients (median age 56 versus 54, P = 0.014).
Table 1.

Baseline characteristics of the patients included (TILs cohort) or not (no-TILs cohort) in the TILs analysis

CharacteristicsTILs cohortNo-TILs cohortAll randomizedP value
N (%)N (%)N (%)
Randomized866 (69)387 (31)1253 (100)
Age (years)<60536 (62)266 (69)802 (64)
≥60330 (38)121 (31)451 (36)0.020
Median (Q1–Q3)56 (48–64)54 (46–62)55 (48–64)0.014
Menopausal statusPremenopausal300 (38)148 (38)448 (36)
Postmenopausal565 (62)237 (62)802 (64)0.201
AJCC StageI155 (40)509 (41)
II383 (44)166 (43)549 (44)
III127 (15)64 (17)191 (15)0.681
N stageN0460 (53)212 (55)672 (54)
N1-N2274 (32)109 (28)383 (30)
N3132 (15)64 (17)198 (16)0.417
Hormone receptorsNegative266 (31)128 (34)400 (32)
Positive600 (69)251 (66)853 (68)0.170
Histological grade
Grade 1- 2246 (29)128 (34)374 (30)
Grade 3607 (71)251 (66)858 (70)0.082

TILs, tumor-infiltrating lymphocytes; AJCC, American Joint Committee on Cancer.

Baseline characteristics of the patients included (TILs cohort) or not (no-TILs cohort) in the TILs analysis TILs, tumor-infiltrating lymphocytes; AJCC, American Joint Committee on Cancer. The HR for the DDFS comparison between the short versus long arms was 1.28 (95% CI 0.90–1.81) in all randomized patients. The HR for DDFS in the TILs cohort was similar (1.37, 95% CI 0.89–2.12).

Tumor-infiltrating lymphocytes

Inter-rater agreement between two investigators, assessed on a subset of 383 cases, was good for the classification in TILs categories defined by 10% increments (78% concordance; weighted Cohen’s κ = 0.75, 95% CI 0.69–0.81). For further analyses, the scores of the investigator who reviewed all cases were used. Median TILs was 5% (interquartile range 1%–15%). TILs were significantly higher in younger (<60 years) patients (P = 0.018), and in case of hormone receptor negative (P < 0.001) and Grade 3 tumors (P < 0.001; supplementary Figure S2, available at Annals of Oncology online). The association between lower TILs and older age was unlikely confounded by other factors, since the proportion of hormone receptor positive and grade 1–2 patients was similar in the two age categories (supplementary Table S1, available at Annals of Oncology online).

TILs and DDFS

At a median follow-up of 6.1 years, 83 DDFS events occurred. Increased TILs were associated with better DDFS: the HR for each 10% TILs increment was 0.76 (95% CI 0.62–0.92, P = 0.006). As shown in Figure 1, 5 years DDFS rates were 91.1% for patients with TILs <20% and 95.7% for patients with TILs ≥20% (log-rank P = 0.025).
Figure 1.

Kaplan–Meier curves for distant disease-free survival according to TILs level.

Kaplan–Meier curves for distant disease-free survival according to TILs level. In multivariable model (Table 2) TILs 10% increments showed an independent prognostic value for DDFS (HR 0.73, 95% CI 0.59–0.89, P = 0.002). Stage was the other parameter that was independently associated with DDFS. TILs retained an independent prognostic value in both hormone receptor positive and negative patients (Table 2).
Table 2.

Multivariate cox models for distant disease-free survival in all patients and in hormone receptor-negative and hormone receptor-positive groups

FactorsAll patients
Hormone receptor negative
Hormone receptor positive
HR 95% CIPHR 95% CIPHR 95% CIP
TILs 10% increments0.73 (0.59–0.89)0.0020.73 (0.54–0.98)0.0360.73 (0.55–0.98)0.034
Age (continuous)1.00 (0.98–1.02)0.8271.04 (0.99–1.08)0.0930.99 (0.97–1.02)0.409
AJCC stageIIIRefRefRef
II0.41 (0.25–0.67)<0.0010.30 (0.12–0.72)0.0070.47 (0.26–0.85)0.013
I0.22 (0.12–0.40)<0.0010.23 (0.09–0.60)0.0030.19 (0.09–0.42)<0.001
Hormone receptorsNegativeRef
Positive0.75 (0.47–1.20)0.231
GradeG3RefRefRef
G1–20.61 (0.36–1.04)0.0691.33 (0.52–3.40)0.5510.47 (0.24–0.89)0.021

TILs, tumor-infiltrating lymphocytes; HR, hazard ratio; CI, confidence interval; G, grade.

Multivariate cox models for distant disease-free survival in all patients and in hormone receptor-negative and hormone receptor-positive groups TILs, tumor-infiltrating lymphocytes; HR, hazard ratio; CI, confidence interval; G, grade. To further explore the independent prognostic information provided by TILs and stage, we evaluated the association between TILs and DDFS in stage-defined subgroups. Results showed a significant impact of TILs only for patients with stage II disease (supplementary Figure S3, available at Annals of Oncology online).

Interaction between TILs and treatment arm

The prognostic value of 10% TILs increments was significant in the short (HR 0.60, 95% CI 0.41–0.88, P = 0.009) but not in the long arm (HR 0.89, 95% CI 0.71–1.12, P = 0.317). The interaction test showed P = 0.088 (Figure 2A).
Figure 2.

Interaction between TILs and treatment arm. Forest plot shows the prognostic effect on distant disease-free survival of TILs 10% increments according to trastuzumab duration (A). Kaplan–Meier curves illustrate distant disease-free according to treatment arm (short- versus long-trastuzumab duration) in patients with high and low TILs separately (B).

Interaction between TILs and treatment arm. Forest plot shows the prognostic effect on distant disease-free survival of TILs 10% increments according to trastuzumab duration (A). Kaplan–Meier curves illustrate distant disease-free according to treatment arm (short- versus long-trastuzumab duration) in patients with high and low TILs separately (B). A significant interaction between TILs binary variable and treatment duration was observed (Figure 2B). In the group with TILs <20%, patients in the long arm experienced a better DDFS when compared with patients in the short arm: 5 years DDFS rates were 88.8% for the short and 93.3% for the long arm (HR short versus long=1.75, 95% CI 1.09–2.80, P = 0.021). To the opposite, in the group of patients with TILs ≥20%, the DDFS was excellent in both arms and numerically superior for patients treated with short trastuzumab (5 years DDFS 97.6% and 93.7% for the short and long arm, respectively, HR short versus long=0.23, 95% CI 0.05–1.09, P = 0.064). Interaction test showed P = 0.015.

Discussion

This is the first study assessing TILs in patients enrolled in a randomized adjuvant trial comparing shorter versus 1-year trastuzumab. The results, beyond confirming TILs as an independent prognostic marker for HER2-positive early breast cancer patients, suggest that higher TILs may discriminate patients at good prognosis who may be optimally treated with shorter trastuzumab. If further validated in other studies, this may represent the first evidence of potential clinical utility in this setting. In our study TILs were an independent favorable prognostic factor for patients treated with adjuvant standard chemotherapy combined with trastuzumab, both in case of hormone receptor positive and hormone receptor negative disease. Two previous studies of adjuvant trastuzumab showed conflicting results: in the FinHER study, a trend for a better DDFS with increased TILs was reported for patients treated with chemotherapy plus trastuzumab [14], whereas in the N9831 trial, a significant association between high TILs and better recurrence-free survival was observed only for patients treated with chemotherapy without trastuzumab [16]. However, another analysis of the N9831 trial suggested that increased expression of immune-related genes was associated with improved outcome after trastuzumab treatment [20]. More recently, Kim et al. [15] reported TILs data from the NSABP B-31 trial showing an association between increased TILs and improved outcome that was significant both in the trastuzumab-treated and trastuzumab-untreated groups. Overall, these data support the concept that pre-existing immune activation is a determinant of improved outcome for HER2-positive breast cancer patients treated with chemotherapy and anti-HER2 therapy. Although general TILs evaluation does not allow to capture the complexity of the tumor immune milieu, it constitutes a simple, inexpensive and reproducible [21] biomarker able to discriminate patients at different prognosis independently from classic clinicopathological features. The development of new prognostic biomarkers for HER2-positive breast cancer patients is of particular relevance in the actual clinical and research context focused on de-escalated therapies for low-risk patients. In our study, the prognostic value of semi-continuous TILs appeared significant only for patients treated with 9-weeks trastuzumab. When comparing the short versus long arm in low and high-TILs patients, the results suggested that low-TILs patients benefit from standard 1 year trastuzumab, whereas high-TILs patients experience an excellent outcome irrespectively of trastuzumab duration, with a significant test for interaction. The rate of events was even lower for patients in the short arm, however the total number of events was very low. These data indicate that high TILs may discriminate patients at very good prognosis following treatment with de-escalated trastuzumab duration. These results need to be further validated. Importantly, decreasing trastuzumab duration is associated with a lower risk of cardiac toxicities [3-6] and this is of particular relevance for real-world patients, often presenting with higher risk of cardiac events when compared with patients in clinical trials [22]. The observation that the prognostic value of TILs was mostly evident for patients with stage II disease is also of potential clinical interest. Indeed, for stage I patients, generally considered at low risk, effective de-escalated treatments are already available [23], whereas stage III patients are considered at high risk and deserve escalated therapies. Stage II patients represent a ‘grey area’ of heterogeneous prognosis where a more precise risk stratification is needed. We reported in our study median TILs of 5%, which is lower when compared with other HER2-positive patients cohorts from adjuvant studies (15% in the FinHER and between 10% and 19% in the N9831) [14–16, 24]. It is unlikely that this difference is due to methodological issues. All these studies applied the same established methodology for TILs evaluation [17], which has shown good reproducibility [21], as also confirmed by our study. One possible explanation may be a higher prevalence of older and hormone receptor positive patients in our study. Median age was 56 years in our cohort and 50 years in N9831 [16]; prevalence of hormone receptor positive patients was 69% in our cohort, 54% in N9831 [16] and 49% in FinHER [14]. Hormone receptor positive status is known to be associated with lower TILs [11, 12, 14–16], whereas the correlation between low TILs and older age observed in our study had not been previously reported. A hypothesis may be a higher prevalence of luminal intrinsic subtypes (typically associated with low TILs) in older HER2-positive/hormone receptor positive patients, as previously suggested [25]. Strengths of this study include: the adoption of a validated methodology for TILs assessment, the good level of agreement between two raters, the study design, being the first assessing TILs in a randomized non-inferiority trial of short adjuvant trastuzumab and the large sample size. Our study has limitations. First, 69% of cases from the overall ShortHER population were evaluated for TILs, however this figure is consistent with other studies [15, 16]. Second, the analysis was not pre-specified in the protocol. Third, the 20% cut-off value was arbitrarily chosen, therefore all analyses of TILs as a binary variable should be considered as exploratory. In conclusion, TILs are an independent prognostic factor for patients treated with chemotherapy and adjuvant trastuzumab. Individual pooled analysis of large studies will be required in order to draw definitive conclusions on the potential clinical utility of TILs in selecting patients for de-escalated therapies.

Funding

This work was supported by research grants from Agenzia Italiana del Farmaco (AIFA, grant FARM62MC97), Italian Association for Cancer Research (AIRC, project MFAG 2014-15938); Veneto Institute of Oncology (5×1000 program).

Disclosure

MVD has received: fees from EliLilly for consultancy role and participation on advisory boards; fees from Genomic Health for consultancy role; fees from Celgene for participation on advisory boards. PFC has received lecture fees and honoraria for participation on advisory boards from EliLilly, Novartis, Roche, AstraZeneca.VG has received honoraria from EliLilly and Roche for participation on advisory boards, and honoraria from AstraZeneca and Novartis. All these activities are outside the submitted work. All remaining authors have declared no conflicts of interest. Click here for additional data file.
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5.  Prognostic and predictive value of tumor-infiltrating lymphocytes in two phase III randomized adjuvant breast cancer trials.

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Review 3.  Clinical trial data and emerging strategies: HER2-positive breast cancer.

Authors:  Sonia Pernas; Sara M Tolaney
Journal:  Breast Cancer Res Treat       Date:  2022-04-09       Impact factor: 4.872

Review 4.  The role of HER2 alterations in clinicopathological and molecular characteristics of breast cancer and HER2-targeted therapies: a comprehensive review.

Authors:  Shafighe Asgari-Karchekani; Armin Aryannejad; Seied Asadollah Mousavi; Shirin Shahsavarhaghighi; Seyed Mohammad Tavangar
Journal:  Med Oncol       Date:  2022-09-29       Impact factor: 3.738

5.  Utilizing gene expression profiles to characterize tumor infiltrating lymphocytes in cancers.

Authors:  Ching-Hsuan Chen; Tzu-Pin Lu
Journal:  Ann Transl Med       Date:  2019-12

6.  A multivariable prognostic score to guide systemic therapy in early-stage HER2-positive breast cancer: a retrospective study with an external evaluation.

Authors:  Aleix Prat; Valentina Guarneri; Laia Paré; Gaia Griguolo; Tomás Pascual; Maria V Dieci; Núria Chic; Blanca González-Farré; Antonio Frassoldati; Esther Sanfeliu; Juan M Cejalvo; Montserrat Muñoz; Giancarlo Bisagni; Fara Brasó-Maristany; Loredana Urso; Maria Vidal; Alba A Brandes; Barbara Adamo; Antonino Musolino; Federica Miglietta; Benedetta Conte; Mafalda Oliveira; Cristina Saura; Sònia Pernas; Jesús Alarcón; Antonio Llombart-Cussac; Javier Cortés; Luis Manso; Rafael López; Eva Ciruelos; Francesco Schettini; Patricia Villagrasa; Lisa A Carey; Charles M Perou; Federico Piacentini; Roberto D'Amico; Enrico Tagliafico; Joel S Parker; Pierfranco Conte
Journal:  Lancet Oncol       Date:  2020-11       Impact factor: 41.316

Review 7.  Towards personalized treatment for early stage HER2-positive breast cancer.

Authors:  Kristina Goutsouliak; Jamunarani Veeraraghavan; Vidyalakshmi Sethunath; Carmine De Angelis; C Kent Osborne; Mothaffar F Rimawi; Rachel Schiff
Journal:  Nat Rev Clin Oncol       Date:  2019-12-13       Impact factor: 66.675

8.  Evaluation of the Predictive Role of Tumor Immune Infiltrate in Patients with HER2-Positive Breast Cancer Treated with Neoadjuvant Anti-HER2 Therapy without Chemotherapy.

Authors:  Carmine De Angelis; Chandandeep Nagi; Cliff C Hoyt; Linying Liu; Kristin Roman; Chichung Wang; Yi Zheng; Jamunarani Veeraraghavan; Vidyalakshmi Sethunath; Paolo Nuciforo; Tao Wang; Anna Tsimelzon; Sufeng Mao; Susan G Hilsenbeck; Meghana V Trivedi; Maria Letizia Cataldo; Anne Pavlick; Antonio C Wolff; Britta Weigelt; Jorge S Reis-Filho; Aleix Prat; Carolina Gutierrez; Charles Kent Osborne; Mothaffar F Rimawi; Rachel Schiff
Journal:  Clin Cancer Res       Date:  2019-10-25       Impact factor: 12.531

9.  MammaPrint and BluePrint comprehensively capture the cancer hallmarks in early-stage breast cancer patients.

Authors:  Josien C Haan; Rajith Bhaskaran; Architha Ellappalayam; Yannick Bijl; Christian J Griffioen; Ersan Lujinovic; William M Audeh; Frédérique Penault-Llorca; Lorenza Mittempergher; Annuska M Glas
Journal:  Genes Chromosomes Cancer       Date:  2021-12-11       Impact factor: 4.263

Review 10.  The root cause of drug resistance in HER2-positive breast cancer and the therapeutic approaches to overcoming the resistance.

Authors:  Yuesheng Zhang
Journal:  Pharmacol Ther       Date:  2020-09-06       Impact factor: 12.310

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