Rapid Fire 2
Session Details
Oral presentations of high impact clinical trials and scientific discovery.
Moderator
Erika Hamilton, Sarah Cannon Research Institute, Nashville, TN
Presentation numberRF2-01
Prognostic Markers in Residual Tumors after neoadjuvant chemotherapy (NACT) for Early Triple-negative Breast Cancer (TNBC) – a Pooled Analysis from nine Neoadjuvant GBG/AGO-B Trials
Johannes Holtschmidt, GBG c/o GBG Forschungs GmbH, Neu Isenburg, Germany
J. Holtschmidt1, A. Schneeweiss2, N. Frickel3, N. Filmann4, M. Untch5, A. Hartkopf6, V. Müller7, C. Solbach8, M. van Mackelenbergh9, J. Blohmer10, K. Lübbe11, T. Karn12, F. Holms13, P. A. Fasching14, P. Jank3, M. Darsow15, F. Marmé16, M. Braun17, E. Stickeler18, R. Weide19, T. Fehm20, C. Schem21, A. Eidmann3, B. Felder4, S. Loibl22, C. Denkert23; 1Medicine and Research Departement, GBG c/o GBG Forschungs GmbH, Neu Isenburg, GERMANY, 2Division of Gynaecological Oncology, National Center for Tumor Diseases (NCT), University Hospital and German Cancer Research Center, Heidelberg, GERMANY, 3Institute of Pathology, Philipps-University Marburg, Marburg, GERMANY, 4Medicine and Research Departement, GBG c/o GBG Forschungs GmbH, Neu-Isenburg, GERMANY, 5Department of Obstetrics and Gynecology, Interdisciplinary Breast Cancer Center, Medical School Berlin, Helios Kliniken Berlin-Buch, Berlin, GERMANY, 6Department of Women’s Health, University Hospital Tübingen, Tübingen, GERMANY, 7Department of Gynecology, University Medical Center Hamburg-Eppendorf, Hamburg, GERMANY, 8Breast Unit, University Medical Center, Goethe-University Frankfurt, Frankfurt am Main, GERMANY, 9Department of Gynecology and Obstetrics, University Hospital of Schleswig-Holstein, Campus Kiel, Kiel, GERMANY, 10Department of Gynecology with Breast Center, Charité – Universitätsmedizin Berlin, Berlin, GERMANY, 11Breast center, Diakovere Henriettenstift, Hannover, GERMANY, 12Department of Gynecology and Obstetrics, University of Frankfurt, UCT Frankfurt-Marburg, Frankfurt am Main, GERMANY, 13Department of Obstetrics and Gynecology, St. Barbara-Klinik Hamm-Heessen GmbH, Hamm, GERMANY, 14Department of Obstetrics and Gynecology, University Hospital Erlangen, Comprehensive Cancer Center Erlangen-EMN, Erlangen, GERMANY, 15Competence Centre for Breast Surgery and Breast Health, Luisenkrankenhaus Düsseldorf, Düsseldorf, GERMANY, 16University Medical Center Mannheim, University of Heidelberg, Mannheim, GERMANY, 17Breast Cancer Center, Department of Gynecology, Red Cross Hospital, Munich, GERMANY, 18Breast Center, Department of Gynecology and Obstetrics, RWTH University Hospital Aachen, Achen, GERMANY, 19Department of Hematology and Oncology, Praxis für Haematologie und Onkologie, Koblenz, GERMANY, 20Department of Gynecology and Obstetrics, University Hospital Düsseldorf, Centrum für Integrierte Onkologie (CIO) ABCD, Düsseldorf, GERMANY, 21Mammazentrum Hamburg, am Krankenhaus Jerusalem, Hamburg, GERMANY, 22Medicine and Research Departement, GBG c/o GBG Forschungs GmbH, Neu-Isenberg, Goethe University Frankfurt, Frankfurt am Main, GERMANY, 23Institute of Pathology, Philipps-University Marburg and University Hospital Marburg (UKGM), Marburg, GERMANY.
Background: Residual invasive disease after NACT for TNBC is associated with high recurrence rates and poor overall survival (OS). The assessment of pathologic complete response (pCR) vs. non-pCR in early breast cancer is not consistently linked to OS. For instance, it does not address partial responses or favourable changes in tumor biology during NACT. Therefore, we investigated proliferation (Ki67) and tumor-infiltrating lymphocytes (TILs) in invasive residual tumor (RT) for improved prediction of outcome. Study Design: Pts with TNBC treated with anthracycline/taxane-containing NACT in nine GBG/AGO-B trials (GeparTrio, GeparQuattro, GeparQuinto, GeparSixto, GeparSepto, GeparOcto, GeparNuevo, GeparOla, and GeparX) were included. Of 3017 pts with TNBC enrolled, 1505 had ypT>0/is and 640 had prospectively collected RT-samples for evaluation of TILs and Ki67. Endpoints were distant disease-free survival (DDFS; primary endpoint) and OS (both as land-mark analysis). Results: Of the 640 pts included, most had cT2 (57.6%), 36.9% had cN+ with 61.6% having stage II disease. At baseline (BL), 93.4% of tumors had Ki67>15% (median 51%), the median for TILs at BL was 20%. After treatment, 54% of RTs had Ki67>15% (median 18%) with a median absolute change in Ki67 of -27.5% compared to BL. Median TILs in RT were 20% with a median change of +5% compared to BL. In pts with ypT1, ypN0 at surgery Ki67 was lower and TILs were higher in RT compared to pts with >ypT1y, pN0 at surgery with no correlation with ypN status. Ki67 >15% vs ≤15% in RT was associated with worse DDFS (HR 1.71; 95% CI 1.33-2.21; p<0.0001) and OS (HR 2.02; 95% CI 1.51-2.71; p15% and TILs ≤10% had the worst DDFS (HR 3.62 95% CI 2.00-6.52; p<0.0001) and OS (HR 7.57 95% CI 3.19-17.94; p<0.0001). 5y survival rates in the 4 groups Ki67≤15% and TILs ≥50%; Ki67≤15% and TILs 15% and TILs >10%; Ki67>15% and TILs <10% were: DDFS 83.7% (74.5-94.1); 66.3% (60.1-73.1); 55.8% (49.9-62.4); 42.4% (32.2-55.8) and OS 92.1% (84.9-99.9); 75% (69.3-81.2); 61.5% (55.6-67.9); 48% (37.4-61.7). The combination of Ki67 and TILs remained significant in different multivariate models for DDFS and OS with clinical and pathological tumor stage. Pts with limited residual disease (ypT1, ypN0) had meaningfully improved DDFS (HR 0.33; 95% CI 0.24-0.45; p<0.0001) and OS (HR 0.25; 95% CI 0.17-0.37; pypT1ypN0. Amongst pts with ypT1, ypN0, those with Ki67>15% in RT trended towards worse DDFS (HR 1.48; 95% CI 0.88-2.48; p=0.14) and OS (HR 1.93; 95% CI 0.99-3.76; p=0.055) compared to Ki67 ≤15%. In the bivariate model including limited residual disease (ypT1, ypN0), Ki67 ≤15% remained an independent predictor of DDFS and OS. Amongst pts with ypT1ypN0 those with Ki67≤15% and TILS≥50% in RT had numerically better survival compared to pts with ypT1, ypN0 not meeting these criteria (5y DDFS rates: 87.5% (76.7-99.9) vs 76.1% (70.3-82.4); 5y OS rates: 96.8% (90.8-100) vs 82.7% (77.3-88.4). Conclusion: Our results suggest that the combined assessment of Ki67 and TILs in residual disease after NACT for TNBC could contribute to prediction of prognosis as well as to improved personalized selection of post-neoadjuvant therapy strategies. Low Ki67 in RT was prognostic for superior DDFS and OS especially when combined with moderate-strong TILs in RT. Amongst pts with ypT1, ypN0, those with low Ki67 and strong TILs in RT had the highest 5yr survival rates.
Presentation numberRF2-02
Pooled analysis of the BrighTNess, CALGB 40603 (Alliance), and GeparSixto clinical trials identifies the impact of neoadjuvant carboplatin on pCR and survival in early-stage triple-negative breast cancer
Brooke M Felsheim, University of North Carolina at Chapel Hill, Chapel Hill, NC
B. M. Felsheim1, V. Nekljudova2, L. A. Carey1, J. Huober3, A. Schneeweiss4, S. M. Tolaney5, M. Untch6, C. S. Kuzma7, A. Fernandez-Martinez8, S. Rachakonda2, R. Suresh9, D. G. Stover10, P. Rastogi11, M. Darsow12, D. E. Lake13, H. S. Rugo14, J. O’Shaughnessy15, M. Golshan16, A. D. Pfefferle1, W. M. Sikov17, O. Metzger5, C. Denkert18, C. E. Geyer Jr.11, C. M. Perou1, S. Loibl2; 1Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, 2Medicine and Research Department, GBG c/o GBG Forschungs GmbH, Neu-Isenburg, GERMANY, 3Cantonal Hospital St. Gallen, Breast Centre St. Gallen, St. Gallen, SWITZERLAND, 4National Center for Tumor Diseases, University Hospital and German Cancer Research Center, Heidelberg, GERMANY, 5Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 6Gynecologic Oncology and Breast Cancer Center, Department of Gynecology and Obstetrics, Helios Hospital Berlin-Buch, Berlin, GERMANY, 7FirstHealth of the Carolinas-Moore Regional Hospital, Southeast Clinical Oncology Research Consortium, Pinehurst, NC, 8Drug Development Department (DITEP), Gustave Roussy Cancer Campus, Villejuif, FRANCE, 9Department of Internal Medicine, Washington University, St. Louis, MO, 10Department of Internal Medicine, The Ohio State University, Columbus, OH, 11Department of Medicine, University of Pittsburgh, Pittsburgh, PA, 12Breast Center, Luisenhospital Dusseldorf, Dusseldorf, GERMANY, 13Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, 14Department of Medical Oncology, City of Hope Comprehensive Cancer Center, Duarte, CA, 15Baylor University Medical Center, Texas Oncology, US Oncology, Dallas, TX, 16Department of Surgery, Yale School of Medicine, New Haven, CT, 17Women and Infants Hospital of Rhode Island, Warren Alpert Medical School of Brown University, Providence, RI, 18Institute of Pathology, University of Marburg, Marburg, GERMANY.
Background: Triple-negative breast cancer (TNBC) is a heterogeneous disease with the lowest survival rate of all clinical subtypes of breast cancer, but patients who achieve a pathologic complete response (pCR) to neoadjuvant chemotherapy (NACT) have a good prognosis. Results from the phase III KEYNOTE-522 trial established a new standard of care (SOC) for stage II-III TNBC, leading to US Food and Drug Administration approval in 2022 for the addition of carboplatin and pembrolizumab to NACT. Although the addition of carboplatin had previously been shown to increase pCR rates to NACT, it was not widely adopted as part of SOC NACT until its incorporation into both arms of KEYNOTE-522. Given the toxicities associated with carboplatin, there remains a need to better define its therapeutic benefit and to identify prognostic and predictive biomarkers of patient response and survival. Methods: We performed a pooled analysis of three randomized early-stage TNBC clinical trials that investigated the addition of carboplatin to NACT: BrighTNess (NCT02032277, n = 471), CALGB 40603 (NCT00861705, n = 351), and GeparSixto (NCT01426880, n = 262). We evaluated its impact on pCR, event-free survival (EFS), and overall survival (OS), and we explored germline BRCA1 and BRCA2 (gBRCA) mutation status as a potential biomarker. Additionally, we examined the prognostic and predictive value of eight published gene expression signatures (IgG, CD4, CD8, B-cell T-cell cooperativity, CD274, Immune1, Hypoxia core, VEGF). To analyze associations with pCR, we fit logistic mixed-effects regression models with study as a random effect. Associations with EFS and OS were evaluated using Cox proportional hazards models stratified by study. Multivariate models included age, tumor size, nodal status, gBRCA mutation status, and tumor grade as covariates. Results: For the pooled dataset (n = 1084), in multivariate models, the addition of neoadjuvant carboplatin was significantly associated with increased pCR rate (odds ratio [OR] = 1.89, 95% confidence interval [CI] = 1.41-2.55, p < 0.001) and EFS (hazard ratio [HR] = 0.71, 95% CI = 0.54-0.93, p = 0.01), but not OS (HR = 0.93, 95% CI = 0.65-1.31, p = 0.66). When considering only gBRCA mutant samples (n = 137), we found that the addition of carboplatin conveys a significant EFS benefit (HR = 0.50, 95% CI = 0.25-1.00, p = 0.05) but had no significant impact on pCR rate or OS. Among the eight gene expression signatures tested, all six immune signatures were associated with a higher pCR rate in multivariate models, with Benjamini-Hochberg (B-H) adjusted p < 0.05. Four signatures (IgG, CD8, CD274, and Immune1) were associated with improved EFS and OS (B-H adjusted p < 0.05). However, no interaction between carboplatin and any tested signature was significantly predictive of pCR, EFS, or OS. Whole transcriptome analyses are ongoing to identify gene expression features that may predict response to neoadjuvant carboplatin. Conclusions: Within a pooled analysis of the BrighTNess, CALGB 40603, and GeparSixto clinical trials, we found that neoadjuvant carboplatin was associated with a significant improvement in pCR rate and EFS, but not OS. The addition of carboplatin significantly improved EFS in patients with gBRCA mutations despite not significantly improving pCR rate or OS. While many immune-related gene expression signatures were prognostic, none were predictive for benefit from neoadjuvant carboplatin. These findings support the inclusion of neoadjuvant carboplatin in SOC treatment of stage II-III TNBC and further emphasize the prognostic importance of the TNBC immune microenvironment. Support: P50-CA058223; https://acknowledgments.alliancefound.org. BrighTNess was funded by AbbVie and GeparSixto was funded by GSK.
Presentation numberRF2-03
Adjuvant epirubicin plus cyclophosphamide followed by taxanes with or without carboplatin for early stage triple-negative breast cancer (RJBC 1501): a randomized controlled phase III trial
Xiaosong Chen, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
X. Chen1, J. Huang1, H. Shi1, J. Zhu2, W. Wu3, G. Ye4, Q. He5, Y. Shi6, A. Zhang7, X. Xie8, X. Wang9, X. Chen10, W. Wu11, J. Wu12, Z. Li13, Z. Li14, Y. Dai15, W. Ren16, Q. Shao17, Y. Chen18, Y. Zeng19, M. Pegram20, K. Shen1; 1Department of General Surgery, Comprehensive Breast Health Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, CHINA, 2Department of Breast Diseases, Maternity and Child Health Care Hospital, Jiaxing University School of Medicine, Zhejiang, CHINA, 3Department of Breast and Thyroid Surgery, Ningbo Medical Center Lihuili Eastern Hospital, Zhejiang, CHINA, 4Department of Breast Surgery, The First People’s Hospital of Foshan, Guangdong, CHINA, 5Department of Breast, International Peace Maternity and Child Health Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, CHINA, 6Department of Thyroid and Breast Surgery, Lishui People’s Hospital, Zhejiang, CHINA, 7Breast Disease Center, Guangdong Women and Children’s Hospital, Guangzhou, Guangdong, CHINA, 8Department of Breast Surgery, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, CHINA, 9Department of Breast Surgery, First People’s Hospital of Wujiang District, Jiangsu, CHINA, 10Department of Breast Surgery, First Affiliated Hospital of Fujian Medical University, Fujian, CHINA, 11Department of Breast Surgery, Ruian People’s Hospital, Zhejiang, CHINA, 12Department of Breast Surgery, Cancer Hospital of Shantou University Medical College, Shantou, Guangdong, CHINA, 13Department of Oncological Surgery, Shaoxing Second Hospital, Zhejiang, CHINA, 14Department of Breast Surgery, Ningbo Women and Children’s Hospital, Zhejiang, CHINA, 15Department of Surgical Oncology, Taizhou Central Hospital, Zhejiang, CHINA, 16Department of Breast Surgery, Shaoxing Shangyu People’s Hospital, Zhejiang, CHINA, 17Breast Department, Jiangyin People’s Hospital, Jiangsu, CHINA, 18Department of Breast Surgery, Fuding Hospital, Fujian, CHINA, 19Department of Breast Surgery, Wenzhou People’s Hospital, Zhejiang, CHINA, 20Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA.
Background: RJBC 1501 (NCT02455141) is a prospective phase III study to compare the efficacy and safety of adjuvant epirubicin plus cyclophosphamide (EC) followed by taxanes (T) versus same regimen plus carboplatin (EC-TCb) in early-stage triple negative breast cancer (TNBC).Methods: Patients with node positive or node negative (with tumor size ≥1.0cm) TNBC who received definitive surgery were randomized 1:1 to receive EC-T or EC-TCb. Taxanes consisted of either weekly paclitaxel for 12 doses or docetaxel every 3 weeks for 4 cycles. Carboplatin was given weekly (AUC 2) for 12 doses or every 3 weeks (AUC 5-6) for 4 cycles, concurrent with taxanes. The primary endpoint was disease-free survival (DFS) in the intention-to-treat (ITT) population. Secondary endpoint includes distant DFS (DDFS), overall survival (OS), and safety.Results: Between March 2016 and March 2023, 786 patients were randomized (EC-T: n = 391; EC-TCb: n = 395). Baseline characteristics were balanced: median age ≤50 years (49.6%), T1 stage (46.6%), node-negative (72.3%). A majority of patients (76.5%) received 3-weekly docetaxel. After a median follow up of 4.52 (IQR 2.83 to 6.06) years, 103 events were reported: 62 in the EC-T group and 41 in the EC-TCb group. Addition of carboplatin significantly improved DFS (hazard ratio [HR], 0.66; 95% CI, 0.44 to 0.97, P = 0.034), with 3-year DFS of 89.8% (95%CI 86.8 to 92.9%) for EC-T and 93.1% (95%CI 90.5 to 95.7%) for EC-TCb. EC-TCb regimen was also associated with a superior DDFS (HR, 0.61; 95% CI, 0.38 to 0.98, P = 0.040) and OS (HR, 0.39; 95% CI 0.16 to 0.94, P = 0.029) compared to EC-T treatment. Grade 3-4 adverse events were more frequent among EC-TCb arm (49.9%) than EC-T arm (38.7%), primarily driven by higher rates of neutropenia (47.0% vs 37.8%) and thrombocytopenia (4.5% vs 0%). Other grade 3-4 toxicities were comparable between groups.Conclusion: Adding carboplatin to adjuvant EC-T chemotherapy significantly improves DFS, DDFS, and OS in patients with early-stage TNBC. While additional carboplatin treatment was associated with increased hematologic toxicity, no new safety signals emerged.
| 3-year rate (95% CI) | 5-year rate (95% CI) | Hazard ratio (95% CI) | |
| DFS | |||
| EC-T | 0.898 (0.868 to 0.929) | 0.826 (0.785 to 0.870) | 1.00 |
| EC-TCb | 0.931 (0.905 to 0.957) | 0.895 (0.861 to 0.929) | 0.66 (0.44 to 0.97) |
| DDFS | |||
| EC-T | 0.922 (0.896 to 0.950) | 0.862 (0.824 to 0.901) | 1.00 |
| EC-TCb | 0.952 (0.931 to 0.974) | 0.912 (0.881 to 0.945) | 0.61 (0.38 to 0.98) |
| OS | |||
| EC-T | 0.975 (0.959 to 0.991) | 0.949 (0.925 to 0.974) | 1.00 |
| EC-TCb | 0.983 (0.969 to 0.997) | 0.978 (0.963 to 0.995) | 0.39 (0.16 to 0.94) |
Presentation numberRF2-04
Effect of adjuvant carboplatin intensified chemotherapy versus standard chemotherapy on survival in women with high-risk early-stage triple-negative breast cancer (CITRINE): a phase 3 randomized trial
Yin Liu, Fudan University Shanghai Cancer Center, Shanghai, China
Y. Liu, Y. Gong, X. Zhu, G. Liu, K. Yu, F. Yang, L. Chen, M. He, Z. Hu, C. Chen, A. Cao, J. Li, Y. Hou, G. Di, J. Wu, Y. Jiang, L. Fan, Z. Wang, Z. Shao; breast surgery, Fudan University Shanghai Cancer Center, Shanghai, CHINA.
Background: The benefit of incorporating carboplatin into adjuvant anthracycline/taxane-based chemotherapy in triple-negative breast cancer (TNBC) remains controversial. This study aimed to evaluate the efficacy and safety of epirubicin and cyclophosphamide followed by weekly paclitaxel with or without carboplatin as adjuvant therapy for patients with high-risk early-stage TNBC.Methods: This open-label, randomized, phase 3 trial was conducted in China. Female patients with operable high-risk TNBC (defined as either regional node-positive or node-negative with a Ki-67 labeling index of ≥50%) after definitive surgery were randomized in a 1:1 ratio into either the carboplatin group (two-week epirubicin and cyclophosphamide followed by weekly paclitaxel combined with carboplatin) or the control group (three-week or two-week epirubicin and cyclophosphamide followed by weekly paclitaxel). The primary endpoint was disease-free survival (DFS) in the intention-to-treat population. Second endpoints included recurrence-free survival (RFS), distant disease-free survival (D-DFS), overall survival (OS) and safety. Results: Of the 808 enrolled patients, 807 received study treatment. At a median follow-up of 44.7 months, the three-year DFS rate was 92.3% in the carboplatin group and 85.8% in the control (hazard ratio [HR] 0.64, 95% confidence interval [CI] 0.43 to 0.95; P=0.026; Figure 1A). For secondary endpoints, the carboplatin group was associated with superior outcomes in three-year RFS (93.8% vs. 88.3%; HR, 0.59; 95% CI 0.37 to 0.93; P = 0.021;
Figure 1B), three-year D-DFS (94.8% vs 89.8%; HR, 0.61; 95% CI 0.37 to 0.98; P = 0.039; Figure 1C), and three-year OS (98.0% vs 94.0%; HR, 0.41; 95% CI 0.20 to 0.83; P = 0.011; Figure 1D). Exploratory forest plot analyses for DFS in the ITT population showed HRs that consistently favored the carboplatin group (Figure 2). The incidence of grade 3-4 treatment related adverse events were 66.7% (269/403) for the carboplatin group and 55% (222/404) for the control group. No treatment related deaths occurred.Conclusions: The addition of carboplatin to adjuvant anthracycline/taxane-based chemotherapy significantly improves survival outcomes with manageable toxicity in patients with high-risk early-stage TNBC.Trial registration number: ClinicalTrials.gov (NCT04296175).
Figure 1 Clinical outcomes. Kaplan-Meier plots show disease-free survival (A), recurrence-free survival (B), distant disease-free survival (C) and overall survival (D) for patients.
Figure 2 Exploratory subgroup analyses for disease-free survival. HR, Hazard Ratio; CI, confidence interval.![[{085d5228-31dd-49fd-8c6c-664b0f068d66}sa1e48.html_g�0002.jpg]]({085d5228-31dd-49fd-8c6c-664b0f068d66}sa1e48.html_g2.jpg)
Presentation numberRF2-05
Discussant for RF2-03 and RF2-04
Priyanka Sharma, University of Kansas Medical Center, Kansas City, KS
Presentation numberRF2-06
Impact of Immune Checkpoint Inhibition (CPI) on Fertility in Young Women with Early Triple-Negative Breast Cancer (TNBC) receiving neoadjuvant Chemotherapy (NACT): A Prospective Substudy of the NSABP B-59/GBG-96-GeparDouze Trial
Mattea Reinisch, University Medical Center Mannheim, University of Heidelberg, Mannheim, Germany
M. Reinisch1, A. Schneeweiss2, V. Schaser3, C. Solbach4, C. Denkert5, P. Rastogi6, F. Moreno7, T. Freeman6, T. Link8, J. Mouta9, S. Seiler10, R. Mey11, Á. Rodríguez Lescure12, V. Bjelic-Radisic13, P. A. Fasching14, M. Balic6, M. Untch15, K. Rhiem16, K. Lüdtke-Heckenkamp17, J. Huober18, S. Morales19, I. Blancas20, J. Holtschmidt3, V. Nekljudova3, N. Wolmark6, C. E. Geyer6, S. Loibl21; 1Interdisciplinary Breast Unit, University Medical Center Mannheim, University of Heidelberg, Mannheim, GERMANY, 2Division of Gynaecological Oncology, National Center for Tumor Diseases (NCT), University Hospital and German Cancer Research Center, Heidelberg, GERMANY, 3Medicine and Research Departement, GBG c/o GBG Forschungs GmbH, Neu-Isenburg, GERMANY, 4Breast Unit, University Medical Center, Goethe-University Frankfurt, Frankfurt am Main, GERMANY, 5Institute of Pathology, Philipps-University Marburg and University Hospital Marburg (UKGM), Marburg, GERMANY, 6NSABP Foundation, Inc., University of Pittsburgh School of Medicine, and UPMC Hillman Cancer Center, Pittsburgh, PA, 7Medical Oncology Department, Hospital Universitario Clínico San Carlos, GEICAM Spanish Breast Cancer Group, Madrid, SPAIN, 8Department of Gynecology and Obstetrics, Medical Faculty and University Hospital Carl Gustav Carus, National Center for Tumor Diseases, Technische Universität Dresden, Dresden, GERMANY, 9Product Development Medical Affairs Oncology, Roche Farmacêutica Química Lda, Amadora, PORTUGAL, 10Department of Obstetrics and Gynecology, Sana Klinikum Offenbach, Offenbach am Main, GERMANY, 11Department of Internal Medicine, Hematology and Oncology, Hämato-Onkologie Praxis im Medicum, Bremen, GERMANY, 12Medical Oncology Department, Hospital General Universitario de Elche, GEICAM Spanish Breast Cancer Group, Elche, SPAIN, 13Department of Obstetrics and Gynecology, Helios University Clinic Wuppertal, University Witten/Herdecke, Wuppertal, GERMANY, 14Department of Gynecology and Obstetrics, University Hospital Erlangen, Comprehensive Cancer Center Erlangen-EMN, Erlangen, GERMANY, 15Department of Obstetrics and Gynecology, Interdisciplinary Breast Cancer Center, Medical School Berlin, Helios Kliniken Berlin-Buch, Berlin, GERMANY, 16Center for Hereditary Breast and Ovarian Cancer, University Hospital Cologne, Cologne, GERMANY, 17Department of Internal Medicine, Hematology and Oncology, Niels-Stensen-clinics GmbH, Georgsmarienhütte, GERMANY, 18Breast center, HOCH Health Ostschweiz, Cantonal Hospital, St. Gallen, SWITZERLAND, 19Oncology Department, Hospital Arnau de Vilanova, GEICAM Spanish Breast Cancer Group, Lleida, SPAIN, 20Medicine Department, Granada University, Hospital Universitario Clínico San Cecilio, Instituto de Investigación Biosanitaria de Granada (ibs.Granada), GEICAM Spanish Breast Cancer Group, Granada, SPAIN, 21Medicine and Research Departement, GBG c/o GBG Forschungs GmbH, Neu-Isenburg, Goethe University Frankfurt, Frankfurt am Main, GERMANY.
Introduction NACT is associated with a high risk of ovarian failure in premenopausal women with breast cancer. The impact of CPI added to NACT on chemotherapy-induced ovarian failure (CIOF) remains underexplored. This study analyses the effects of combined NACT and CPI on ovarian function, assessed through different hormonal parameters in patients (pts) with TNBC. Methods This prospective, substudy included women aged≤45 years (yrs) without history of hysterectomy and/or ovarectomy enrolled within this trial (SABCS2024). Pts received anthracycline, cyclophosphamide, taxane and carboplatin containing NACT with atezolizumab (CTA) or without (CT). The main objective was to assess the rate of CIOF, defined as postmenopausal levels of follicle-stimulating hormone (FSH>25.8 IU/l) and Estradiol (E2<5 pg/ml), further objectives were the assessment of Anti-Mullerian Hormone (AMH), and amenorrhea rate. Blood samples were prospectively collected at baseline (BL), at end of therapy (EOT), and at 6, 12, 18 and 24 months (mo) after EOT. E2 (pg/ml), FSH (IU/l), and AMH (ng/ml) were centrally assessed. Pts had to have at least a BL sample and one additional sample collected at one of the other time points to be evaluable. Results A total of 173 pts were included in the ovarian substudy across 85 centres in Germany and Spain. 133 pts (CT n=63; CTA n=70) had blood samples taken on at least two time points. The median age at BL was 37 yrs (range 33-41 yrs, 35%≥40 yrs), the median BMI was 24 kg/m2, 12%≥30 kg/m2. The E2 levels (Table) decreased during therapy but increased after EOT. In both arms E2 levels recovered 24 mo after EOT with median E2 levels of 53.3 in CTA vs 81.6 in CT (p=0.348). In both arms E2 did not reach baseline values. Increase in median FSH levels after EOT was observed over time and remained postmenopausal in the CPI group after 24 mo. 34.2% pts experienced CIOF at EOT (CTA: 40.6%, CT: 26.8%; p=0.13), and overall, 10% had persistent CIOF 24 mo after EOT; which was higher when CPI was added (CTA 7.5%; CT 2.5%; p=0.06, Table). At BL, AMH<0.22, suggestive of impaired fertility, was observed in only a minority of pts (8.6% CTA, 12.7% CT) but in all pts at EOT. After 24 months, recovered AMH≥0.22 was measured in 27.5% (CTA) and 25% (CT) of pts (Table). Conclusion This first prospective study investigating the influence of CPI on ovarian failure. Two years after treatment 10% had permanent CIOF after receiving NACT for TNBC. Pts with CPI tended to have higher rates of CIOF at all timepoints and fewer pts had an ovarian function recovery supporting the biological theory that CPI on top of chemotherapy influence fertility. Our results contribute to understanding CPI’s impact on fertility in young pts receiving carboplatin containing NACT with CPI for early TNBC and provide valuable insights for fertility counselling.
| BL CTA | BL CT | EOT CTA | EOT CT | +24mo CTA | +24mo CT | |
| E2 median (Q1; Q3) | 81.4 (39.9; 160) | 89.7 (43.8; 148) | 2.5 (2.5; 8) | 2.5 (2.5; 7.8) | 53.3 (8.75; 128) | 81.6 (12.4; 145) |
| FSH median (Q1; Q3) | 4.2 (3; 6.5) | 5.9 (2.7; 8) | 67.1 (11.7; 88.1) | 64.3 (9.5; 87.7) | 25.5 (6.5; 93.3) | 18 (5.7; 66.5) |
| CIOF (%) | 40.6 | 26.8 | 17.5 | 2.5 | ||
| AMH median (Q1; Q3) | 0.99 (0.39; 2.06) | 0.86 (0.4; 1.88) | 0.05 (0.05; 0.05) | 0.05 (0.05; 0.05) | 0.05 (0.05; 0.29) | 0.05 (0.05; 0.24) |
| Infertile AMH levels (%)** | 8.6 | 12.7 | 100 | 100 | 72.5 | 75 |
| Amenorrhea (%) | 12.8 | 19.1 | 64.9 | 62.6 | 36.9 | 29.4 |
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*Thresholds for postmenopausal hormone levels: E2 25.8 |
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** AMH levels indicating impaired fertility: <0.22 ng/ml |
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Presentation numberRF2-07
Nodal disease burden in patients with clinically node-positive breast cancer undergoing tailored axillary surgery with or without axillary dissection in the neoadjuvant and upfront surgery setting: pre-planned TAXIS study (OPBC-03, SAKK 23/16, IBCSG 57-18, ABCSG-53, GBG 101)
Walter P. Weber, University of Basel, Basel, Switzerland & Breast Clinic, University Hospital Basel, Basel, Switzerland
W. P. Weber1, C. Tausch2, S. Hayoz3, Z. Matrai4, G. Xepapadakis5, C. Simonson6, V. Bjelic-Radisic7, G. T. Lam8, G. Montagna9, M. Gnant10, L. H. Rosenberger11, E. de Bree12, R. Satler13, M. Fehr14, C. Leo15, L. Lelievre16, S. Bucher17, S. Schmid18, R. Exner19, K. Reisenberger20, U. Beckmann21, S. Muenst22, G. Henke23, D. R. Zwahlen24, T. Ruhstaller25, K. Ribi26, C. Urban27, A. Crown28, J. E. Lee29, J. Boileau30, A. D. Williams31, Y. Jonghan29, M. L. DiNome11, A. Poultsidi32, E. Gonzales33, S. M. Wong30, A. Schulz34, M. Nealeigh35, S. G. Ahn36, A. M. Botty van den Bruele11, B. J. Chae29, A. Mueller13, D. Hagen13, J. M. Ryu29, A. Savolt37, C. Kurzeder38, J. Heil39, D. Egle40, M. Heidinger1, M. Knauer25; 1University of Basel, Basel, Switzerland & Breast Clinic, University Hospital Basel, Basel, SWITZERLAND, 2Breast Center, Zurich, SWITZERLAND, 3Swiss Cancer Institute, Bern, SWITZERLAND, 4Department of Breast and Sarcoma Surgery, National Institute of Oncology, Pudapest, HUNGARY, 5IASO Hospital, Breast Clinic, Department of Breast Surgery, Maroussi, Athens, GREECE, 6Centre Hospitalier du Valais Romand, Department of Gynecology, Sion, SWITZERLAND, 7Helios University Hospital Wuppertal – Breast Center / Senology, University of Witten/Herdecke, Wuppertal, GERMANY, 8Department of Gynecology and Obstretrics, Geneva University Hospitals, Geneva, SWITZERLAND, 9Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, 10Comprehensive Cancer Center, Medical University of Vienna, Vienna, AUSTRIA, 11Department of Surgery, Duke Cancer Institute, Durham, NC, 12Department of Surgical Oncology, University Hospital of Heraklion, Heraklion, GREECE, 13Breast Center, Cantonal Hospital Winterthur, Winterthur, SWITZERLAND, 14Department of Gynecology, Cantonal Hospital Frauenfeld / Breast Unit Thurgau, Thurgau, SWITZERLAND, 15Cantonal Hospital Baden, Baden, SWITZERLAND, 16Department of Gynecology, Lausanne University Hospital CHUV, Lausanne, SWITZERLAND, 17Breast Center, Cantonal Hospital Lucerne, Lucerne, SWITZERLAND, 18Breast Cancer Center St. Gallen, HOCH Health Ostschweiz Hospital Grabs, St. Gallen, SWITZERLAND, 19Department of Surgery, Medical University of Vienna, Vienna, AUSTRIA, 20Department of Gynecology and Obstetrics, Klinikum Wels-Grieskirchen, Wels, AUSTRIA, 21Brustzentrum der Niels-Stensen-Kliniken, Franziskus-Hospital Harderberg, Georgsmarienhütte, GERMANY, 22Institute of Pathology, University Hospital Basel, University of Basel, Basel, SWITZERLAND, 23Radiation Oncology Department, Team Radiology Plus, Münsterlingen, SWITZERLAND, 24Department of Radiation Oncology, Cantonal Hospital Winterthur, Winterthur, SWITZERLAND, 25Tumor and Breast Center Eastern Switzerland, St. Gallen, SWITZERLAND, 26Quality of Life Office, International Breast Cancer Study Group, A Division of ETOP IBCSG Partners Foundation Bern, Switzerland, Careum School of Health, part of the Kalaidos University of Applied Sciences, Bern, SWITZERLAND, 27Nossa Senhora das Graças Hospital, Curitiba, BRAZIL, 28Swedish Cancer Institute, Seattle, WA, 29Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, KOREA, REPUBLIC OF, 30Jewish General Hospital Segal Cancer Centre, Departments of Surgery and Gerald Bronfman Oncology McGill University, Montreal, QC, CANADA, 31Department of Surgical Oncology, Fox Chase Cancer Center, Philadelphia, PA, 32Department of Surgery, University Hospital of Larissa, University of Thessaly, Larissa, GREECE, 33Oncoplastic Surgery Department, Instituto de Oncología Ángel H. Roffo, Universidad de Buenos Aires, Buenos Aires, ARGENTINA, 34University of Basel, Basel, Switzerland & Department of Clinical Research, University Hospital Basel, Basel, SWITZERLAND, 35Breast Care and Research Center, Walter Reed National Military Medical Center, Bethesda, MD, 36Department of Surgery, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, KOREA, REPUBLIC OF, 37Department of Breast and Sarcoma Surgery, National Institute of Oncology, Budapest, HUNGARY, 38Breast Clinic, University Hospital Basel, Basel, Switzerland & University of Basel, Basel, SWITZERLAND, 39Department of Obstetrics and Gynecology, Heidelberg University Hospital, Germany & Breast Center Heidelberg, Heidelberg, GERMANY, 40Breast Cancer Center Tirol, Department of Gynecology, Medical University Innsbruck, Innsbruck, AUSTRIA.
Introduction The safety of omitting axillary dissection (ALND) in patients with clinically node-positive breast cancer (cN+ BC) may depend on the nodal disease burden left behind in the axilla. This study aimed to evaluate nodal disease volume, quantify nodal understaging without ALND, and identify factors associated with additional nodal disease at ALND in these patients. Methods The international phase-III TAXIS trial (NCT03513614) randomized patients with cN+ stage II-III BC to ALND or axillary radiotherapy (ART) following tailored axillary surgery (TAS). Nodal disease was detected by imaging or palpation at initial diagnosis. TAS removed sentinel, biopsied, and palpably suspicious nodes. Patients had upfront surgery or residual nodal disease after neoadjuvant chemotherapy (NACT). 1500 patients were randomized from 08/2018 to 08/2025. Results Of 1418 patients with available data, 712 (50.2%) underwent ALND. Nodal disease was detected by imaging in 735 patients (51.8%), and by palpation in 683 (48.2%). Clinical nodal stage was cN1 in 1232 (86.9%) and cN2/3 in 186 (13.1%). Tumors were HR-positive and HER2-negative in 1140 patients (80.4%), HER2-positive in 160 (11.3%), and triple negative in 96 (6.8%). 552 patients (38.9%) underwent NACT.TAS removed a median of 5 nodes (interquartile range [IQR] 3-7), 2 (IQR 1-4) of which were positive. After TAS, ALND removed a median of 11 additional nodes (IQR 8-16), one (IQR 0-4) of which was positive. Among 712 patients undergoing ALND, additional positive nodes after TAS were removed in 430 (60.4%), AJCC pN upstaging occurred in 226 (31.7%), and 336 (47.2%) had (y)pN2/3 stage. Nodal burden by use of NACT is shown in the table.On multivariable logistic regression the number of positive nodes on TAS was associated with higher odds of having additional positive nodes on ALND in the NACT (odds ratio [OR] 1.57, 95% confidence interval [CI] 1.21-2.03, p<0.001) and upfront surgery group (OR 1.39, 95%CI 1.23-1.57, p<0.001). Furthermore, the odds of having additional positive nodes on ALND were higher in macrometastatic vs. isolated tumor cells/micrometastatic nodal disease on TAS after NACT (OR 2.24, 95%CI 1.10-4.55, p=0.026), and in palpable vs. imaging-detected nodal disease at upfront surgery (OR 1.66, 95%CI 1.05-2.63, p=0.032). Conclusion Nodal disease burden is high in patients included in the TAXIS trial. Among patients who underwent ALND, almost half had (y)pN2/3 disease, and 60.4% had additional positive nodes removed that were missed by TAS. Nodal disease volume on TAS was associated with higher odds of having additional positive nodes on ALND. Interim analysis raised no safety concerns in the TAXIS study, and long-term follow-up will determine if ART is oncologically non-inferior to ALND.
| Neoadjuvant Chemotherapy | Neoadjuvant Chemotherapy | Upfront surgery | Upfront surgery | |
| TAS N=552 | Completion ALND N=275/552 | TAS N=866 | Completion ALND N=437/866 | |
| Surgical characteristics | ||||
| Removed lymph nodes, median (IQR) | 4 (3-6) | 10 (7-14) | 5 (3-8) | 11 (8-16) |
| Positive lymph nodes, median (IQR) | 2 (1-3) | 1 (0-3) | 2 (1-4) | 1 (0-4) |
| Additional nodal disease burden on completion ALND after TAS | ||||
| Patients with additional nodal disease removed by ALND, n/N(%) | NA | 152/275 (58.0%) | NA | 278/437 (65.6%) |
| Nodal AJCC upstaging on ALND | ||||
| Any nodal upstaging, n(%) | NA | 70/275 (25.5%) | NA | 156/437 (35.7%) |
| pN1 to pN2, n(%) | NA | 47/275 (17.1%) | NA | 92/437 (21.1%) |
| pN1 to pN3, n(%) | NA | 14/275 (5.1%) | NA | 11/437 (2.5%) |
| pN2 to pN3, n(%) | NA | 9/275 (3.3%) | NA | 53/437 (12.1%) |
| Number (%) of patients with additional positive nodes on ALND by number of positive nodes on TAS | ||||
| 1 positive node on TAS, n/N(%) | NA | 48/105 (45.7%) | NA | 58/130 (44.6%) |
| 2 positive nodes on TAS, n/N(%) | NA | 38/70 (54.3%) | NA | 63/99 (63.6%) |
| ≥3 positive nodes on TAS, n/N(%) | NA | 57/75 (76.0%) | NA | 146/181 (80.7%) |
| Unknown, n | NA | 25 | NA | 27 |
| Number (%) of patients with additional positive nodes on ALND by size of nodal metastasis on TAS | ||||
| ITC/micrometastasis, n/N(%) | NA | 7/26 (26.9%) | NA | 10/16 (62.5%) |
| Macrometastasis, n/N(%) | NA | 132/218 (60.6%) | NA | 252/385 (65.5%) |
| Unknown, n | NA | 31 | NA | 36 |