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Supplementary Table 1: Multivariate analysis of the continuous mEPclin and CPS-EG scores including Ki67 status according to DFS Supplementary Figures

Purpose:Next-generation sequencing (NGS) can be used for comprehensive investigation of molecular events in breast cancer. We evaluated the relevance of genomic alterations for response to neoadjuvant chemotherapy (NACT) in the GeparSepto trial.Experimental Design:Eight hundred fifty-one pretherapeutic formalin-fixed paraffin-embedded (FFPE) core biopsies from GeparSepto study were sequenced. The panel included 16 genes for mutational (AKT1, BRAF, CDH1, EGFR, ERBB2, ESR1, FBXW7, FGFR2, HRAS, KRAS, NRAS, SF3B1, TP53, HNF1A, PIK3CA, and PTEN) and 8 genes for copy-number alteration analysis (CCND1, ERBB2, FGFR1, PAK1, PIK3CA, TOP2A, TP53, and ZNF703).Results:The most common genomic alterations were mutations of TP53 (38.4%) and PIK3CA (21.5%), and 8 different amplifications (TOP2A 34.9%; ERBB2 30.6%; ZNF703 30.1%; TP53 21.9%; PIK3CA 24.1%; CCND1 17.7%; PAK1 14.9%; FGFR 12.6%). All other alterations had a prevalence of less than 5%. The genetic heterogeneity in different breast cancer subtypes [lum/HER2neg vs. HER2pos vs. triple-negative breast cancer (TNBC)] was significantly linked to differences in NACT response. A significantly reduced pathologic complete response rate was observed in PIK3CA-mutated breast cancer [PIK3CAmut: 23.0% vs. wild-type (wt) 38.8%, P < 0.0001] in particular in the HER2pos subcohort [multivariate OR = 0.43 (95% CI, 0.24–0.79), P = 0.006]. An increased response to nab-paclitaxel was observed only in PIK3CAwt breast cancer, with univariate significance for the complete cohort (P = 0.009) and the TNBC (P = 0.013) and multivariate significance in the HER2pos subcohort (test for interaction P = 0.0074).Conclusions:High genetic heterogeneity was observed in different breast cancer subtypes. Our study shows that FFPE-based NGS can be used to identify markers of therapy resistance in clinical study cohorts. PIK3CA mutations could be a major mediator of therapy resistance in breast cancer.

Purpose: This study aimed to evaluate a modified EPclin test (mEPclin), a combination of EndoPredict (EP) score, post-neoadjuvant pathologic tumor size and nodal status, for predicting the risk of distance recurrence after neoadjuvant chemotherapy (NACT) in patients with residual estrogen receptor (ER)–positive/HER2-negative breast cancer. We also compared the prognostic power of the mEPclin with that of the CPS-EG score.Experimental Design: A total of 428 formalin-fixed, paraffin-embedded tumor samples from GeparTrio and GeparQuattro studies were evaluated for mRNA expression of eight cancer-related and three reference genes. The mEPclin score was computed using a modified algorithm and predefined cut-off values were used to classify each patient at low or high risk. Primary endpoint was disease-free survival (DFS).Results: A higher continuous mEPclin score was significantly associated with increased risk of relapse [HR, 2.16; 95% confidence interval (CI), 1.86–2.51; P < 0.001] and death (HR, 2.28; 95% CI, 1.90–2.75; P < 0.001). Similarly, patients classified at high risk by dichotomous mEPclin showed significantly poorer DFS and overall survival compared with those at low risk. In contrast with CPS-EG, the mEPclin remained significantly prognostic for DFS in multivariate analysis (HR, 2.13; 95% CI, 1.73–2.63; P < 0.001). Combining CPS-EG and other clinicopathological variables with mEPclin yielded a significant improvement of the prognostic power for DFS versus without mEPclin (c-indices: 0.748 vs. 0.660; P < 0.001).Conclusions: The mEPclin score independently predicted the risk of distance recurrence and provided additional prognostic information to the CPS-EG score to assess more accurately the prognosis after NACT in the luminal non-pCR patient population. Therefore, this approach can be used to select patients for additional post-neoadjuvant therapies. Clin Cancer Res; 24(14); 3358–65. ©2018 AACR.

Changes of CTC numbers in the total study cohort or in any of the different subgroups were not related to DFS.

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Supplementary Figures

Supplementary materials and tables

supplemental figure legend

Supplemental Methods, Figures 1-2, Table S1. Supplemental Methods providing details on the study cohort and the image analysis algorithm. Supp. Figure 1: A) Ki67 stained breast cancer tissue. B) Haematoxylin Signal derived from color deconvolution (1) and C) histogram showing frequencies (y axis) of specific heamatoxylin intensities (x axis) of the image background (red) and foreground (green). Arrows show representative locations of different intensity classes: no tissue (red), tissue but no cell nuclei (blue), Ki67 negative cell (green) and Ki67 positive cell nuclei (orange). Figure 2: Construction of the borderline between plausible and non-plausible thresholds by combining the threshold and the resulting ratio of positive cells. Supplementary table S1: Clinico-pathological data of the study cohort

8 Supplementary Figures and 2 Supplementary Tables

Supplementary Data from Detection and HER2 Expression of Circulating Tumor Cells: Prospective Monitoring in Breast Cancer Patients Treated in the Neoadjuvant GeparQuattro Trial

Purpose: This study aimed to evaluate the prognostic impact of circulating tumor cells (CTC) detected in patients with operable or locally advanced breast cancer before and after neoadjuvant therapy (NT) within the clinical trial GeparQuattro.Experimental Design: Data on CTCs enumerated with the CellSearch system were available for 213 and 207 patients before and after NT, respectively. Associations of CTCs with disease-free survival (DFS) and overall survival (OS) were analyzed by nonparametric Kaplan–Meier estimates and parametric Cox regression.Results: After a median follow-up of 67.1 months, the detection of ≥1 CTC/7.5 mL and ≥2 CTCs/7.5 mL before NT was associated with reduced DFS (P = 0.031 and P < 0.0001, respectively) and OS (P = 0.0057 and P < 0.0001, respectively), whereas CTCs detected after NT did not correlate with DFS or OS. In parametric univariate and multivariate Cox models, ≥1 CTC/7.5 mL, ≥2 CTCs/7.5 mL, and absolute CTC numbers before NT revealed to be independent prognostic parameters of DFS and OS. CTC-negative patients with pathologic complete response (pCR) exhibited the best prognosis, whereas those with CTCs and less tumor response were at high risk of tumor relapse. In HER2 (ERBB2)-positive and triple-negative patients, ≥2 CTCs/7.5 mL detected before NT also were significantly associated with worse DFS and OS.Conclusions: Detection of CTCs before NT is an independent prognostic factor of impaired clinical outcome, and combined with pCR, it could be helpful to stratify breast cancer patients for therapeutic interventions. Clin Cancer Res; 23(18); 5384–93. ©2017 AACR.

Changes of CTC numbers in the total study cohort or in any of the different subgroups were not related to OS.

PDF file, 66K, Subpopulation Treatment Effect Pattern Plot (STEPP) analysis of the treatment effect of conventional versus response-guided neoadjuvant chemotherapy as measured by mean disease-free survival according to overlapping subpopulations defined by percentages of Ki67 at surgery in patients with hormone-receptor-positive (A) and hormone-receptor-negative (B) disease.

Purpose: The value of Ki67 measured on residual disease after neoadjuvant chemotherapy is not sufficiently described.Experimental Design: Participants of the GeparTrio study with primary breast cancer randomly received neoadjuvant response-guided [8 cycles TAC (docetaxel/doxorubicin/cyclophosphamide) in responding and TAC-NX (vinorelbine/capecitabine) in nonresponding patients] or conventional (6 cycles TAC) chemotherapy according to interim response assessment. Ki-67 levels were centrally measured immunohistochemically after neoadjuvant treatment if tumor tissue was available. Here, we analyze 1,151 patients having a pathologic complete response (pCR; n, 484), or residual disease with low (0–15%), intermediate (15.1–35%), or high (35.1–100%) posttreatment Ki67 levels in 488, 77, and 102 patients, respectively.Results: Patients with high posttreatment Ki67 levels showed higher risk for disease relapse (P < 0.0001) and death (P < 0.0001) compared with patients with low or intermediate Ki67 levels. Patients with low Ki67 levels showed a comparable outcome to patients with a pCR (P = 0.211 for disease-free and P = 0.779 for overall survival). Posttreatment Ki67 levels provided more prognostic information than pretreatment Ki67 levels or changes of Ki67 from pre- to posttreatment. Information on pCR plus posttreatment Ki67 levels surmount the prognostic information of pCR alone in hormone–receptor-positive disease [hazard ratios (HR), 1.82–5.88] but not in hormone–receptor-negative disease (HR: 0.61–1.73). Patients with conventional and response-guided treatment did not show a different distribution of posttreatment Ki67 (P = 0.965).Conclusions: Posttreatment Ki67 levels provide prognostic information for patients with hormone–receptor-positive breast cancer and residual disease after neoadjuvant chemotherapy. Levels were not prognostic for outcome after response-guided chemotherapy. High posttreatment Ki67 indicates the need for innovative postneoadjuvant treatments. Clin Cancer Res; 19(16); 4521–31. ©2013 AACR.

Purpose: Scoring proliferation through Ki67 immunohistochemistry is an important component in predicting therapy response to chemotherapy in patients with breast cancer. However, recent studies have cast doubt on the reliability of “visual” Ki67 scoring in the multicenter setting, particularly in the lower, yet clinically important, proliferation range. Therefore, an accurate and standardized Ki67 scoring is pivotal both in routine diagnostics and larger multicenter studies.Experimental Design: We validated a novel fully automated Ki67 scoring approach that relies on only minimal a priori knowledge on cell properties and requires no training data for calibration. We applied our approach to 1,082 breast cancer samples from the neoadjuvant GeparTrio trial and compared the performance of automated and manual Ki67 scoring.Results: The three groups of autoKi67 as defined by low (≤15%), medium (15.1%–35%), and high (>35%) automated scores showed pCR rates of 5.8%, 16.9%, and 29.5%, respectively. AutoKi67 was significantly linked to prognosis with overall and progression-free survival P values POS < 0.0001 and PPFS < 0.0002, compared with POS < 0.0005 and PPFS < 0.0001 for manual Ki67 scoring. Moreover, automated Ki67 scoring was an independent prognosticator in the multivariate analysis with POS = 0.002, PPFS = 0.009 (autoKi67) versus POS = 0.007, PPFS = 0.004 (manual Ki67).Conclusions: The computer-assisted Ki67 scoring approach presented here offers a standardized means of tumor cell proliferation assessment in breast cancer that correlated with clinical endpoints and is deployable in routine diagnostics. It may thus help to solve recently reported reliability concerns in Ki67 diagnostics. Clin Cancer Res; 21(16); 3651–7. ©2014 AACR.

Purpose: A common characteristic of mammary carcinomas is an inverse relationship between the estrogen receptor (ER) status and the proliferative activity of the tumor. Yet, a subset of ER-positive breast cancers is characterized by a high proliferation, suggesting malfunctions in ER responsiveness that influence the biological and therapeutic behavior of tumor cells. The expression of several ER-dependent genes seems to be dysregulated among those “uncoupled” tumors. One of those genes is plexin B1, a cell-surface receptor for the semaphorin Sema4D (CD 100). However, the biological role of plexin B1 in breast cancer is largely unknown.Experimental Design: Expression data of plexin B1 were obtained from Affymetrix microarray analysis of n = 119 breast cancer specimens. Validation was done by quantitative real-time PCR and protein expression was evaluated by immunohistochemistry. Expression data were compared with clinical characteristics as well as follow-up data of the disease.Results: Low plexin B1 expression levels characterize a more aggressive tumor phenotype. The expression of plexin B1 is strongly correlated with the ER status. However, even among ER-positive tumors, loss of plexin B1 is associated with an impaired prognosis of breast cancer patients in both univariate (all patients, P = 0.0062; ER positive, P = 0.0107) and multivariate analyses (all patients, P = 0.032; ER positive, P = 0.022). Immunohistochemistry reveals that the tumor cells themselves and not the endothelial cells are the major source of plexin B1 expression in the tumor.Conclusion: Plexin B1 acts not only as a new important prognostic but should also represent a predictive marker indicating an endocrine resistance. These data give a new insight in markers that could be involved in endocrine dysregulation of breast cancer.

Supplementary Figure S2: Kaplan Meier plots by pathologic complete response (pCR) and CTCs detected after NT. (A, B) DFS, analysis of the whole patient cohort at cut-off {greater than or equal to}1 (A) CTC/7.5 mL and {greater than or equal to}2 (B) CTCs/7.5 mL blood, (C, D) OS, analysis of the whole patient cohort at cut-off {greater than or equal to}1 (C) CTC/7.5 mL and {greater than or equal to}2 (D) CTCs/7.5 mL blood.

Purpose: This study was aimed at detecting and characterizing circulating tumor cells (CTC) before and after neoadjuvant therapy (NT) in the peripheral blood of patients with breast cancer.Experimental Design: The clinical trial GeparQuattro incorporated NT approaches (epirubicin/cyclophosphamide prior to randomization to docetaxel alone, docetaxel in combination with capecitabine, or docetaxel followed by capecitabine) and additional trastuzumab treatment for patients with HER2-positive tumors. We used the Food and Drug Administration–approved CellSearch system for CTC detection and evaluation of HER2 expression and developed HER2 immunoscoring for CTC.Results: We detected ≥1 CTC/7.5 mL in 46 of 213 patients (21.6%) before NT and in 22 of 207 patients (10.6%) after NT (P = 0.002). Twenty (15.0%) initially CTC-positive cases were CTC-negative after NT, whereas 11 (8.3%) cases were CTC-positive after NT, although no CTC could be found before NT. CTC detection did not correlate with primary tumor characteristics. Furthermore, there was no association between tumor response to NT and CTC detection. HER2-overexpressing CTC were observed in 14 of 58 CTC-positive patients (24.1%), including 8 patients with HER2-negative primary tumors and 3 patients after trastuzumab treatment. CTC scored HER2-negative or weakly HER2-positive before or after NT were present in 11 of 21 patients with HER2-positive primary tumors. HER2 overexpression on CTC was restricted to ductal carcinomas and associated with high tumor stage (P = 0.002).Conclusion: CTC number was low in patients with primary breast cancer. The decrease in CTC incidence during treatment was not correlated with standard clinical characteristics and primary tumor response. Information on the HER2 status of CTC might be helpful for stratification and monitoring of HER2-directed therapies. Clin Cancer Res; 16(9); 2634–45. ©2010 AACR.

Background: The PI3K/AKT pathway and phosphatase and tensin homolog (PTEN) aberrations are common in breast cancer. We investigated the correlation between phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit alpha (PIK3CA), PTEN, p4EBP1 (phosphorylated E4 binding protein 1), and pathologic complete response (pCR) in patients receiving neoadjuvant therapy.Experimental Design: We retrospectively evaluated PIK3CA, PTEN, and p4EBP1 protein expression in centrally HER2-positive patients (n = 181) who received epirubicin cyclophosphamide/trastuzumab followed by docetaxel/trastuzumab alone or concomitant/followed by capecitabine within the GeparQuattro study. PTEN was assessed using the automated quantitative immunofluorescence analysis and was analyzed as a dichotomic variable. p4EBP1 was assessed by immunohistochemistry and used as a continuous and dichotomic variable.Results: p4EBP1 was available from 137, PTEN from 108, and PIK3CA genotype from 83 patients. Overall, the pCR rate in PTEN-low tumors was 27.6%, and in PTEN-high tumors, it was 57.1% (P = 0.010). pCR rates were not statistically different between PIK3CA wild-type and mutant (35% vs. 22%) or p4EBP1 IRS ≤ 4 and IRS > 4 (39% vs. 33%). pCR rate was 57.1% (8/14) in PTEN-high/PIK3CA wild-type and decreased to 15.4% in PTEN-low/PIK3CA-mutant tumors (P = 0.023). In multivariable analysis adjusted for baseline parameters, PTEN independently predicted pCR in the following cohorts: overall [OR, 7.54; 95% confidence interval (CI), 2.03–28.06; P = 0.003], PIK3CA wild-type (OR, 23.81; 95% CI, 1.75–324.05; P = 0.017), p4EBP1 IRS > 4 (OR, 11.53; 95% CI, 1.84–72.24; P = 0.009), and hormone receptor–positive (OR, 40.91; 95% CI, 2.93–570.44; P = 0.006). p4EBP1 was independently predictive for pCR in PIK3CA wild-type tumors (OR, 0.14; 95% CI, 0.03–0.78; P = 0.025).Conclusions: The study showed the potential role of PIK3CA genotype, PTEN, and p4EBP in predicting pCR after anthracycline–taxane-based chemotherapy and anti-HER2 treatment. Clin Cancer Res; 22(11); 2675–83. ©2016 AACR.

Detection of CTCs associated with patient and tumor characteristics for both time points in patients with measurements at both time points is listed. There was no significant correlation of {greater than or equal to}1CTC or {greater than or equal to}2CTCs to any of these parameters.

(A) OR were plotted against all possible cutoff points: the range of significant cutoffs was 39.4% with an optimal cutoff at 60.1 immunofluorescence expression values (vertical line). Dotted lines: 95% confidence interval (B) Waterfall plot showing correct and wrong classification of cases in accordance to pCR depending on PTEN immunofluorescence expression.

Contains fulltext : 290914.pdf (Publisher’s version ) (Open Access) BACKGROUND: In node-negative breast cancer (NNBC), a high risk of recurrence is determined by clinico-pathological or tumor-biological assessment. Taxanes may improve adjuvant chemotherapy. METHODS: NNBC 3-Europe, the first randomized phase-3 trial in node-negative breast cancer (BC) with tumor-biological risk assessment, recruited 4146 node-negative breast cancer patients from 2002 to 2009 in 153 centers. Risk assessment was performed by clinico-pathological factors (43%) or biomarkers (uPA/PAI-1, urokinase-type plasminogen activator/its inhibitor PAI-1). High-risk patients received six courses 5-fluorouracil (500 mg/m(2)), epirubicin (100 mg/m(2)), cyclophosphamide (500 mg/m(2)) (FEC), or three courses FEC followed by three courses docetaxel 100 mg/m(2) (FEC-Doc). Primary endpoint was disease-free survival (DFS). RESULTS: In the intent-to-treat population, 1286 patients had received FEC-Doc, and 1255 received FEC. Median follow-up was 45 months. Tumor characteristics were equally distributed; 90.6% of tested tumors had high uPA/PAI-1-concentrations. Planned courses were given in 84.4% (FEC-Doc) and 91.5% (FEC). Five-year-DFS was 93.2% (95% C.I. 91.1-94.8) with FEC-Doc and 93.7% (91.7-95.3) with FEC. Five-year-overall survival was 97.0% (95.4-98.0) for FEC-Doc and 96.6% % (94.9-97.8) for FEC. CONCLUSIONS: With adequate adjuvant chemotherapy, even high-risk node-negative breast cancer patients have an excellent prognosis. Docetaxel did not further reduce the rate of early recurrences and led to significantly more treatment discontinuations.

PurposePIK3CA, encoding for subunit p110a of phosphatidylinositol 3 kinase, is frequently mutated in breast cancer. PIK3CAmutation was predictive for pathological complete response (pCR) in human epidermal growth factor 2 positive breast cancer. This study explores the association of PIK3CA mutation and pCR in triple-negative breast cancer (TNBC) treated with neoadjuvant chemotherapy.Materials and MethodsA total of 92 patients with TNBC derived from a prospectively randomized phase II trial GeparSixto study (NCT01426880). Exon 9 and exon 20 of PIK3CA mutations were evaluated by using classical Sanger method with formalin-fixed paraffin-embedded tumor tissues.ResultsSeven of 90 tumors (7.8%) were detectable with a PIK3CA H1047R mutation. Overall, PIK3CA H1047R mutation was significantly associated with a lower pCR rate (14.3% vs. 56.6%; odds ratio, 0.128; 95% confidence interval [CI], 0.015 to 1.108; p=0.047). In carboplatin- containing treatment patients, H1047R mutation trended to predict a lower pCR rate (20% vs. 62.5%; p=0.146). In a multivariable analysis, H1047R mutation trended to predict a lower pCR rate (hazard ratio, 0.1; 95% CI, 0.01 to 1; p=0.056).ConclusionTNBC with a PIK3CA H1047R mutation was less likely to achieve pCR after anthracyclinebased neoadjuvant chemotherapy. Development of H1047R mutant selective inhibitors might be helpful to conquer this subtype of breast cancer.

Background The phase 3 KATHERINE trial demonstrated significantly improved invasive disease–free survival with adjuvant trastuzumab emtansine (T‐DM1) versus trastuzumab in patients with HER2‐positive early breast cancer and residual invasive disease after neoadjuvant chemotherapy plus HER2‐targeted therapy. Methods Patients who received taxane‐ and trastuzumab‐containing neoadjuvant therapy (with/without anthracyclines) and had residual invasive disease (breast and/or axillary nodes) at surgery were randomly assigned to 14 cycles of adjuvant T‐DM1 (3.6 mg/kg intravenously every 3 weeks) or trastuzumab (6 mg/kg intravenously every 3 weeks). The European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire–Core 30 (QLQ‐C30) and breast cancer module (QLQ‐BR23) were completed at screening, at day 1 of cycles 5 and 11, within 30 days after study drug completion, and at 6‐ and 12‐month follow‐up visits. Results Of patients who were randomly assigned to T‐DM1 (n = 743) and trastuzumab (n = 743), 612 (82%) and 640 (86%), respectively, had valid baseline and ≥1 postbaseline assessments. No clinically meaningful changes (≥10 points) from baseline in mean QLQ‐C30 and QLQ‐BR23 scores occurred in either arm. More patients receiving T‐DM1 reported clinically meaningful deterioration at any assessment point in role functioning (49% vs 41%), appetite loss (38% vs 28%), constipation (47% vs 38%), fatigue (66% vs 60%), nausea/vomiting (39% vs 30%), and systemic therapy side effects (49% vs 36%). These differences were no longer apparent at the 6‐month follow‐up assessment, except for role functioning (23% vs 16%). Conclusion These data suggest that health‐related quality of life was generally maintained in both study arms over the course of treatment., Patient‐reported outcomes are reported from the randomized, phase 3 KATHERINE trial, which demonstrated significantly improved invasive disease–free survival with adjuvant T‐DM1 compared with trastuzumab in patients who had residual invasive disease following neoadjuvant chemotherapy plus HER2‐targeted therapy. Patients who are treated with T‐DM1 have a greater incidence of any grade and grade ≥3 adverse events compared with trastuzumab‐treated patients; however, these adverse events appear to have a minimal impact on patient‐reported quality of life.

Background: Patients with HER2-positive early breast cancer with residual invasive disease after neoadjuvant chemotherapy (NACT) + HER2-targeted therapy have a higher risk of recurrence and death than those with pathologic complete response. In the phase III KATHERINE study, adjuvant T-DM1 reduced the risk of recurrence or death by 50% vs H in this population. Data from KATHERINE subgroups are reported here, including patients treated with non-anthracycline (AC) vs AC based NACT, patients with small tumors (cT1cN0) who typically do not receive neoadjuvant treatment, and patients with particularly higher-risk tumors defined by nodal involvement and hormone-receptor status. Methods: Eligible patients had HER2-positive early breast cancer, received taxane- and H-containing neoadjuvant therapy ± AC followed by surgery, and had residual invasive disease in the breast and/or axillary nodes. Patients received 14 cycles of adjuvant T-DM1 (3.6 mg/kg IV q3w) or H (6 mg/kg IV q3w) and endocrine and/or radiation therapy per local standards. The primary endpoint was invasive disease-free survival (IDFS), defined as time from randomization to the first occurrence of ipsilateral locoregional or contralateral invasive breast cancer recurrence, distant recurrence, or death from any cause. In this exploratory analysis, efficacy subpopulations were derived from the intent-to-treat population and safety data were reported for patients who received ≥1 dose of study treatment. Results: In the non-AC v AC based NACT analysis (N=1486), some patient characteristics were imbalanced. For non-AC/AC based NACT, respectively, these included: region (North America; 60.6% v 11.0%), race (Asian; 12.8% v 7.4%), ECOG PS 1 (28.0% v 15.7%); neoadjuvant HER2-based therapy (H + pertuzumab; 46.6% v 9.8%), and neoadjuvant carboplatin/cisplatin (78.7 v 2.3%). Benefit was observed with T-DM1 regardless of neoadjuvant AC use (Table). The all-grade incidence of selected AEs with T-DM1 including hepatotoxicity, peripheral neuropathy, hemorrhage, IRR/hypersensitivity, and cardiac dysfunction was similar between non-AC and AC NACT groups. There was a small increase in the non-AC group in all-grade thrombocytopenia (32.5% v 27.4%) and pulmonary toxicity (6.7% vs 1.7%). There was an increased incidence of grade ≥3 AEs (39.9% vs 21.7%) in the non-AC vs the AC group with T-DM1 which was likely driven by an increase in thrombocytopenia (10.4% v 4.3%) and peripheral sensory neuropathy (4.3% vs 0.5%). However, the percentage of patients with AEs leading to T-DM1 withdrawal in the non-AC vs AC groups (19.6% v 17.5%) was similar, as was the percentage with AEs leading to T-DM1 dose reduction (14.1% v 11.6%). In patients with cT1N0 tumors (n=77), baseline characteristics were well-balanced for H v T-DM1. There were only 6 IDFS events in this subgroup overall; none were observed with T-DM1 (Table). In the analysis of particularly higher-risk tumors, all subgroups showed a benefit with T-DM1; the number of patients was small in some subgroups (Table). Conclusions: T-DM1 provides clinical benefit regardless of prior non-AC vs AC based NACT, and in subgroups with small or particularly higher-risk tumors. There was an increased incidence of grade ≥3 AEs with T-DM1 in the non-AC vs the AC group but these did not result in increased treatment discontinuation and were likely driven by the imbalance in prior therapy. Table 1. Risk of IDFS event in patients treated with non-AC versus AC based NACT, patients with small tumors, and patients with particularly higher-risk tumors.Unstratified hazard ratio of IDFS (95% confidence interval [CI])Patients treated with non-AC vs AC based NACT (N=1,486)Non-AC-based NACT: H (n=179) vs T-DM1 (n=164)0.43 (0.22–0.82)AC-based NACT: H (n=564) vs T-DM1 (n=579)0.51 (0.38–0.67)Patients with small (cT1cN0) tumors (N=77)H (n=32) vs T-DM1 (n=45)6 events with H; 0 events with T-DM1(hazard ratio not applicable due to zero events in T-DM1 arm)Tumor subgroups defined by nodal and HR status (N=957)Inoperable; any HR or ypN statusH (n=190)T-DM1 (n=185)3-year IDFS event-free rate, % (95% CI)60.2 (52.7–67.8)76.0 (70.0–82.4)Unstratified hazard ratio (95% CI)0.54 (0.37–0.80)Operable; ypN positive and HR negativeH (n=52)T-DM1 (n=58)3-year IDFS event-free rate, % (95% CI)69.5 (56.1–82.9)76.0 (64.5–87.5)Unstratified hazard ratio (95% CI)0.72 (0.35–1.50)Operable; ypN positive and HR positiveH (n=167)T-DM1 (n=168)3-year IDFS event-free rate, % (95% CI)77.2 (70.2–84.1)91.4 (86.6–96.2)Unstratified hazard ratio (95% CI)0.43 (0.25–0.75)Operable; ypN0 and HR negativeH (n=68)T-DM1 (n=69)3-year IDFS event-free rate, % (95% CI)77.2 (66.5–87.9)91.1 (84.3–97.9)Unstratified hazard ratio (95% CI)0.43 (0.17–1.06) Citation Format: Max S Mano, Sibylle Loibl, Eleftherios P. Mamounas, Gunter von Minckwitz, Chiun-Sheng Huang, Michael Untch, Norman Wolmark, Irene L. Wapnir, Youngsen Yang, Alison K. Conlin, Sherko Kümmel, Mahasti Saghatchian, Michael P. DiGiovanna, Claudia Strunk, Martina Zimovjanova, Chunyan Song, Haying Liu, David Tesarowski, Steven Blotner, Lisa H. Lam, Melanie Smitt, Charles E. Geyer Jr. Adjuvant trastuzumab emtansine (T-DM1) vs trastuzumab (H) in patients with residual invasive disease after neoadjuvant therapy for HER2-positive breast cancer: KATHERINE subgroup analysis [abstract]. In: Proceedings of the 2019 San Antonio Breast Cancer Symposium; 2019 Dec 10-14; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2020;80(4 Suppl):Abstract nr P3-14-01.

Introduction The ability of breast magnetic resonance imaging (MRI) to predict pathologic complete response (pCR) to neoadjuvant systemic therapy (NST) varies across biological subtypes. We sought to determine how well breast MRI findings following initial treatment on the phase III BrighTNess trial correlated with pCR in patients with triple negative breast cancer (TNBC). Methods Baseline and mid-treatment imaging and pathologic response data were available in 519 patients with stage II-III TNBC who underwent NST as per protocol. MRI complete response (mCR) was defined as disappearance of all target lesion(s) and MRI partial response (mPR) as a ≥50% reduction in the largest tumor diameter. Results Overall, mCR was demonstrated in 116 patients (22%), whereas 166 (32%) had mPR and 237 (46%) had stable/progressive disease (SD/PD). The positive predictive value (PPV), negative predictive value, and overall accuracy of the mid-treatment MRI for pCR were 78%, 56%, and 61%, respectively; accuracy did not differ significantly between gBRCA mutation carriers and non-carriers (52% vs. 63%, p = 0.10). When compared to patients with SD/PD, those with mPR or mCR were 3.35-fold (95% CI 2.07–5.41) more likely to have pCR at surgery. MRI response during NST was significantly associated with eligibility for breast-conserving surgery following completion of treatment (93.1% for mCR vs. 81.6% for SD/PD, p Conclusions Complete response on mid-treatment MRI in the BrighTNess trial had a PPV of 78% for demonstration of pCR after completion of NST in TNBC. However, a substantial proportion of patients with mPR or SD/PD also achieved a pCR. Clinical trial registration NCT02032277 .

In the BrighTNess trial, carboplatin added to neoadjuvant chemotherapy (NAC) was associated with increased pathologic complete response (pCR) rates in patients with stage II/III triple-negative breast cancer (TNBC). In this matched cohort study, cases with a germline BRCA1/2 mutation (gBRCA; n = 75) were matched 1:2 with non-gBRCA controls (n = 150) by treatment arm, lymph node status, and age to evaluate pCR rates and association of benefit from platinum/PARP inhibitors with validated RNA expression-based immune, proliferation, and genomic instability scores among gBRCA with the addition of carboplatin ± veliparib to NAC. Among the well-matched cohorts, odds of pCR were not higher in gBRCA cancers who received standard NAC with carboplatin (OR 0.24, 95% CI [0.04-1.24], p = 0.09) or with carboplatin/veliparib (OR 0.44, 95% CI [0.10-1.84], p = 0.26) compared to non-gBRCA cancers. Higher PAM50 proliferation, GeparSixto immune, and CIN70 genomic instability scores were each associated with higher pCR rate in the overall cohort, but not specifically in gBRCA cases. In this study, gBRCA carriers did not have higher odds of pCR than non-gBRCA controls when carboplatin ± veliparib was added to NAC, and showed no significant differences in molecular, immune, chromosomal instability, or proliferation gene expression metrics.

Purpose:Next-generation sequencing (NGS) can be used for comprehensive investigation of molecular events in breast cancer. We evaluated the relevance of genomic alterations for response to neoadjuvant chemotherapy (NACT) in the GeparSepto trial.Experimental Design:Eight hundred fifty-one pretherapeutic formalin-fixed paraffin-embedded (FFPE) core biopsies from GeparSepto study were sequenced. The panel included 16 genes for mutational (AKT1, BRAF, CDH1, EGFR, ERBB2, ESR1, FBXW7, FGFR2, HRAS, KRAS, NRAS, SF3B1, TP53, HNF1A, PIK3CA, and PTEN) and 8 genes for copy-number alteration analysis (CCND1, ERBB2, FGFR1, PAK1, PIK3CA, TOP2A, TP53, and ZNF703).Results:The most common genomic alterations were mutations of TP53 (38.4%) and PIK3CA (21.5%), and 8 different amplifications (TOP2A 34.9%; ERBB2 30.6%; ZNF703 30.1%; TP53 21.9%; PIK3CA 24.1%; CCND1 17.7%; PAK1 14.9%; FGFR 12.6%). All other alterations had a prevalence of less than 5%. The genetic heterogeneity in different breast cancer subtypes [lum/HER2neg vs. HER2pos vs. triple-negative breast cancer (TNBC)] was significantly linked to differences in NACT response. A significantly reduced pathologic complete response rate was observed in PIK3CA-mutated breast cancer [PIK3CAmut: 23.0% vs. wild-type (wt) 38.8%, P < 0.0001] in particular in the HER2pos subcohort [multivariate OR = 0.43 (95% CI, 0.24–0.79), P = 0.006]. An increased response to nab-paclitaxel was observed only in PIK3CAwt breast cancer, with univariate significance for the complete cohort (P = 0.009) and the TNBC (P = 0.013) and multivariate significance in the HER2pos subcohort (test for interaction P = 0.0074).Conclusions:High genetic heterogeneity was observed in different breast cancer subtypes. Our study shows that FFPE-based NGS can be used to identify markers of therapy resistance in clinical study cohorts. PIK3CA mutations could be a major mediator of therapy resistance in breast cancer.

Information on deaths occurring during oncological clinical trials has never been systematically assessed. Here, we examine the incidence of death and the profile of patients who died during randomized clinical breast cancer (BC) trials. Information on fatal events during German Breast Group (GBG) led BC trials was prospectively captured. Data were derived from the trial databases and death narratives. All deaths were evaluated for possible causes, underlying conditions, treatment relatedness, time point and rate of autopsies. From 12/1996 to 01/2017, 23,387 patients were treated within 32 trials. Of those 88 (0.4%) died on therapy within 17 trials. Median age was 64 [range 35–84] years, 63.2% of patients had a body mass index (BMI) ≥ 25 kg/m2; 65.9% 1–3 and 22.7% ≥ 4 comorbidities; 61.4% 1–2 cardiovascular risk factors (CRFs); 26.4% took > 3 drugs; 81.7% had ECOG 0; 50.0% stage III, 76.7% luminal BC. The main causes of death were infection (38.6%; of those, 82.3% sepsis, 17.6% pneumonia), heart failure (14.8%), and pulmonary embolism (13.6%). Fatal events mainly occurred within the first 4 therapy cycles (55.7%), in the investigational arm (66.7%) and under anthracycline–taxane-based chemotherapy (51.1%). A relationship with the treatment was declared in 27.3% of the cases. An autopsy was performed in 13.6% of patients. Death during study treatment was mainly related to infections, and patients with advanced disease, high BMI, underlying comorbidities, CRFs and concomitant medications. If considered for study participation these patients need careful monitoring due to their higher risk for death on study.

PURPOSE The aim of the current work was to clarify whether a preoperative lymphoscintigraphy (LSG) enhances staging accuracy of sentinel lymph node biopsy (SLNB). PATIENTS AND METHODS In a prospective, multicenter, randomized phase III trial, patients with cN0 early breast cancer or extensive/high-grade ductal carcinoma in situ planned for standard radioactive-labeled colloid LSG with subsequent SLNB were randomly assigned 1:1 to receive SLNB either with knowledge of the LSG findings or without. As the false-negative rate of SLNB correlates with the number of resected sentinel lymph nodes (SLNs), our primary end point was the mean number of histologically detected SLNs per patient. One thousand one hundred two evaluable patients were necessary to demonstrate noninferiority of SLNB without LSG. Stratified one-sided 95% CI for the difference (without LSG − with LSG) in the mean number of histologically detected SLNs had to be greater than −0.27 (10% noninferiority margin). Stratification was performed according to tumor focality and trial site. Additional predefined secondary end points (rates of node-positive patients and of completion axillary lymph node dissection) were analyzed to rule out differences in the reliable detection of nodal metastases. RESULTS Between May 2014 and October 2015, 1,198 patients were randomly assigned in 23 German and Swiss breast centers. Modified intention-to-treat analysis (n = 1,163) showed a mean number of histologically detected SLNs of 2.21 with LSG and 2.26 without LSG (difference 0.05; stratified 95% CI, −0.18 to infinity), thus establishing noninferiority of omitting preoperative LSG. Secondary end points displayed no statistically significant differences. CONCLUSION We show that SLNB is equally effective irrespective of the surgeon’s knowledge of preoperative LSG results. SLNB without LSG will speed up the preoperative workflow and reduce cost.

Ki-67 has been clinically validated for risk assessment in breast cancer, but the analytical validation and cutpoint-definition remain a challenge. Intraclass correlation coefficients (ICCs) are a statistical parameter for Ki-67 interobserver performance. However, the maximum degree of variance among pathologists allowed for meaningful biomarker results has not been defined. Different amounts of variance were added to central pathology Ki-67 data (n = 9069) from three cohorts (IBCSGVIII + IX, BIG1-98, GeparTrio) by simulation of 4500 evaluations for each cohort, which were grouped by ICCs, ranging from excellent (ICC = 0.9) to poor concordance (ICC = 0.1). Endpoints were disease-free survival (DFS) and pathological complete response (pCR, GeparTrio). Ki-67 was a significant continuous prognostic marker for DFS over a wide range of cutpoints between 8% and 30% in all three cohorts. In our modelling approach, Ki-67 was a stable prognostic marker despite increased interpathologist variance. Even for a poor ICC of 0.5, one or more significant Ki-67 cutoffs were detected in 86.8% (GeparTrio), 92.4% (IBCSGVIII + IX) and 100% of analyses (BIG1-98). Similarly, in GeparTrio, even with an extremely low ICC of 0.2, 99.6% of analyses were significant for pCR. Our study shows that Ki-67 is a continuous marker which is extremely robust to pathologist variation. Even if only 50% of variance is attributable to true Ki-67-based proliferation (ICC = 0.5), this information is sufficient to obtain statistically significant differences in clinical cohorts. This stable performance explains the observation that many Ki-67 studies achieve significant results despite relevant interobserver variance and points to a high clinical validity of this biomarker. For clinical decisions based on analysis of individual patient data, ongoing efforts to further reduce interobserver variability, including ring trials and standardized guidelines as well as image analysis approaches, should be continued.

Background Increasing the dose intensity of cytotoxic therapy by shortening the intervals between cycles, or by giving individual drugs sequentially at full dose rather than in lower-dose concurrent treatment schedules, might enhance efficacy. Methods To clarify the relative benefits and risks of dose-intense and standard-schedule chemotherapy in early breast cancer, we did an individual patient-level meta-analysis of trials comparing 2-weekly versus standard 3-weekly schedules, and of trials comparing sequential versus concurrent administration of anthracycline and taxane chemotherapy. The primary outcomes were recurrence and breast cancer mortality. Standard intention-to-treat log-rank analyses, stratified by age, nodal status, and trial, yielded dose-intense versus standard-schedule first-event rate ratios (RRs). Findings Individual patient data were provided for 26 of 33 relevant trials identified, comprising 37 298 (93%) of 40 070 women randomised. Most women were aged younger than 70 years and had node-positive disease. Total cytotoxic drug usage was broadly comparable in the two treatment arms; colony-stimulating factor was generally used in the more dose-intense arm. Combining data from all 26 trials, fewer breast cancer recurrences were seen with dose-intense than with standard-schedule chemotherapy (10-year recurrence risk 28·0% vs 31·4%; RR 0·86, 95% CI 0·82–0·89; p Interpretation Increasing the dose intensity of adjuvant chemotherapy by shortening the interval between treatment cycles, or by giving individual drugs sequentially rather than giving the same drugs concurrently, moderately reduces the 10-year risk of recurrence and death from breast cancer without increasing mortality from other causes.

We analyzed the predictive potential of pretreatment soluble carbonic anhydrase IX levels (sCAIX) for the efficacy of bevacizumab in the phase III neoadjuvant GeparQuinto trial. sCAIX was determined by enzyme-linked immunosorbent assay (ELISA). Correlations between sCAIX and pathological complete response (pCR), disease-free and overall survival (DFS, OS) were assessed with logistic and Cox proportional hazard regression models using bootstrapping for robust estimates and internal validation. 1,160 HER2-negative patient sera were analyzed, of whom 577 received bevacizumab. Patients with low pretreatment sCAIX had decreased pCR rates (12.1 vs. 20.1%, p = 0.012) and poorer DFS (adjusted 5-year DFS 71.4 vs. 80.5 months, p = 0.010) compared to patients with high sCAIX when treated with neoadjuvant chemotherapy (NCT). For patients with low sCAIX, pCR rates significantly improved upon addition of bevacizumab to NCT (12.1 vs. 20.4%; p = 0.017), which was not the case in patients with high sCAIX (20.1% for NCT vs. 17.0% for NCT-B, p = 0.913). When analyzing DFS we found that bevacizumab improved 5-year DFS for patients with low sCAIX numerically but not significantly (71.4 vs. 78.5 months; log rank 0.234). In contrast, addition of bevacizumab worsened 5-year DFS for patients with high sCAIX (81 vs. 73.6 months, log-rank 0.025). By assessing sCAIX levels we identified a patient cohort in breast cancer that is potentially undertreated with NCT alone. Bevacizumab improved pCR rates in this group, suggesting sCAIX is a predictive biomarker for bevacizumab with regards to treatment response. Our data also show that bevacizumab is not beneficial in patients with high sCAIX.

Background: Neratinib is an irreversible pan-HER tyrosine kinase inhibitor that inhibits PI3K/Akt and MAPK signaling pathways after HER2 receptor activation. The ExteNET study showed that neratinib significantly improved 5-year invasive disease-free survival (iDFS) in women who completed trastuzumab-based adjuvant therapy for early breast cancer (EBC). We assessed the prognostic and predictive significance of PIK3CA alterations in patients in ExteNET. Methods: Participants were women aged ≥ 18 years (≥ 20 years in Japan) with stage 1–3c (modified to stage 2–3c in February 2010) operable breast cancer, who had completed (neo)adjuvant chemotherapy plus trastuzumab ≤ 2 years before randomization, with no evidence of disease recurrence or metastatic disease at study entry. Patients were randomized to oral neratinib 240 mg/day or placebo for 1 year. Formalin-fixed, paraffin-embedded primary tumor specimens underwent polymerase chain reaction (PCR) PIK3CA testing for two hotspot mutations in exon 9, one hot-spot mutation in exon 20, and fluorescence in situ hybridization (FISH) analysis for PIK3CA amplification. The primary endpoint (iDFS) was tested with log-rank test and hazard ratios (HRs) estimated using Cox proportional-hazards models. Results: Among the intent-to-treat population (n = 2840), tumor specimens were available for PCR testing (991 patients) and PIK3CA FISH (702 patients). Overall, 262 samples were PIK3CA altered: 201 were mutated (77%), 52 (20%) were amplified, and 9 (3%) were mutated and amplified. iDFS was non-significantly worse in placebo-treated patients with altered vs wild-type PIK3CA (HR 1.34; 95% CI 0.72–2.50; P = 0.357). Neratinib’s effect over placebo was significant in patients with PIK3CA-altered tumors (HR 0.41; 95% CI 0.17–0.90, P = 0.028) but not PIK3CA wild-type tumors (HR 0.72; 95% CI 0.36–1.41; P = 0.34). The interaction test was non-significant (P = 0.309). Conclusions: Although there was a greater absolute risk reduction associated with neratinib treatment of patients with PIK3CA-altered tumors in ExteNET, current data do not support PIK3CA alteration as a predictive biomarker of response to neratinib in HER2-positive EBC. Trial registration: ClinicalTrials.gov , NCT00878709 . Trial registered April 9, 2009.

Background GeparOcto compared efficacy and safety of two chemotherapy regimens in high-risk early breast cancer (BC): sequential treatment with intense dose-dense epirubicin, paclitaxel, and cyclophosphamide (iddEPC) and weekly treatment with paclitaxel plus non-pegylated liposomal doxorubicin (M, Myocet®) with additional carboplatin (PM(Cb)) in triple-negative BC (TNBC). Patients and methods Patients with cT1c-cT4a-d and centrally assessed human epidermal growth factor receptor (HER)2-positive BC or TNBC were eligible, irrespective of nodal status, luminal B-like tumours only if pN+. Patients were randomised (stratified by BC subtype, Ki67, lymphocyte-predominant BC) to receive 18 weeks of E (150 mg/m2) followed by P (225 mg/m2) followed by C (2000 mg/m2), each q2w for 3 cycles or weekly P (80 mg/m2) plus M (20 mg/m2) plus, in TNBC, Cb (area under curve (AUC) 1.5). HER2-positive BC patients additionally received trastuzumab (6 [loading dose 8]mg/kg q3w) and pertuzumab (420 [840]mg q3w) with all P and C cycles. Primary end-point was pathological complete response (pCR, ypT0/is ypN0), secondary end-points included other pCR definitions, pCR in stratified subpopulations, tolerability and compliance. This trial is registered with ClinicalTrials.gov number NCT02125344 . Results 945/961 randomised patients started treatment. The median age was 48 years; 7.6% had cT3-4, 46% cN+, 66% G3, 40% HER2-positive, 43% TNBC. pCR rate with iddEPC was 48.3%, with PM(Cb) 48.0%, respectively (PM(Cb) versus iddEPC odds ratio 0.99; 95% confidence interval 0.77–1.28, P = 0.979) with no significant differences observed in TNBC, HER2-positive, luminal B-like subtypes. 16.4% with iddEPC and 34.1% with PM(Cb) discontinued treatment (P Conclusions In high-risk early BC there is no difference in pCR rates following neoadjuvant treatment with iddEPC or weekly PM(Cb), respectively. iddEPC is one of the effective dose-dense regimens feasible in daily practice.

IMPORTANCE: Adding carboplatin to standard neoadjuvant chemotherapy (NAC) in triple-negative breast cancer (TNBC) likely benefits a subset of patients; however, determinants of benefit are poorly understood. OBJECTIVE: To define the association of molecular subtype, tumor proliferation, and immunophenotype with benefit of carboplatin added to NAC for patients with stages II to III TNBC. DESIGN, SETTING, AND PARTICIPANTS: This was a prespecified secondary analysis of a phase 3, double-blind, randomized clinical trial (BrighTNess) that enrolled 634 women across 145 centers in 15 countries. Women with clinical stages II to III TNBC who had undergone pretreatment biopsy were eligible to participate. Whole transcriptome RNA sequencing was performed on the biopsy specimens. The prespecified end point was association of pathologic complete response (pCR) with gene expression–based molecular subtype, with secondary end points investigating established signatures (proliferation, immune) and exploratory analyses of immunophenotype. Data were collected from April 2014 to March 2016. The study analyses were performed from January 2018 to March 2019. INTERVENTIONS: Neoadjuvant chemotherapy with paclitaxel followed by doxorubicin and cyclophosphamide, or this same regimen with carboplatin or carboplatin plus veliparib. MAIN OUTCOMES AND MEASURES: Association of gene expression–based molecular subtype (PAM50 and TNBC subtypes) with pCR. RESULTS: Of the 634 women (median age, 51 [range, 22-78] years) enrolled in BrighTNess, 482 (76%) patients had evaluable RNA sequencing data, with similar baseline characteristics relative to the overall intention-to-treat population. Pathologic complete response was significantly more frequent in PAM50 basal-like vs nonbasal-like cancers overall (202 of 386 [52.3%] vs 34 of 96 [35.4%]; P = .003). Carboplatin benefit was not significantly different in basal-like vs nonbasal-like subgroups (P = .80 for interaction). In multivariable analysis, proliferation (hazard ratio, 0.36; 95% CI, 0.21-0.61; P

Optimization of axillary staging among patients converting from clinically node-positive disease to clinically node-negative disease through primary systemic therapy is needed. We aimed at developing a nomogram predicting the probability of positive axillary status after chemotherapy based on clinical/pathological parameters. Patients from study arm C of the SENTINA trial were included. Univariable/multivariable analyses were performed for 13 clinical/pathological parameters to predict a positive pathological axillary status after chemotherapy using logistic regression models. Odds ratios and 95%-confidence-intervals were reported. Model performance was assessed by leave-one-out cross-validation. Calculations were performed using the SAS Software (Version 9.4, SAS Institute Inc., Cary, NC, USA). 369 of 553 patients in Arm C were included in multivariable analysis. Stepwise backward variable selection based on a multivariable analysis resulted in a model including estrogen receptor (ER) status (odds ratio (OR) 3.916, 95% confidence interval (CI) 2.318–6.615, p

Background The US Food and Drug Administration and European Medicines Agency have published guidance for industry on the use of pathologic complete response (pCR) as a surrogate endpoint to accelerate the regulatory approval of neoadjuvant agents in high-risk early-stage breast cancer (EBC). Three meta-analyses, the CTNeoBC consortium (Cortazar 2014), Berruti (2014), and Korn (2016), evaluated the association between the pCR odds ratio and the event hazards ratio but did not identify strong trial-level associations. Thus, uncertainties remain with respect to whether the magnitude of effect-size increase in pCR reasonably predicts long-term clinical benefit. Findings Trial-level data from CTNeoBC were used as the training data set to derive an empirical nonlinear model for predicting long-term outcomes based on pCR results. A Cox regression model was used to evaluate the relationship among treatments, event hazards, and pCR as joint covariates. The trial-level association between treatment and event hazard was derived and then linked with pCR rates. Magnitude of the patient-level association was also included in the analysis. Additional published trials were used to validate the predictive model. Numerical differences between the perfect surrogate prediction and observed effect followed normal distribution based on the Kolmogorov-Smirnov test. For event-free survival (EFS), the Student t- test P value of 0.02 suggested a statistically significant nonzero difference, with a mean value of −0.163 (SE 0.058). For overall survival (OS), the Student t- test P value of 0.0027 suggested a statistically significant nonzero difference, with a mean value of −0.153 (SE 0.038). Three studies, including GeparSixto, BOOG, and Neo-tAnGo, were used for validation. The F test suggested the model fit the test data well. Implications The observed hazard ratios fit well with the predicted hazard ratios for both EFS and OS and suggest plausible trial-level associations with the new predictor. Major findings Our model predicted the correlation between pCR and EFS as well as OS. This model could be used as a supporting tool to help interpret positive pCR results in neoadjuvant clinical studies in patients with high-risk EBC.

Summary Background ABP 980 (Amgen Inc, Thousand Oaks, CA, USA) is a biosimilar of trastuzumab, with analytical, functional, and pharmacokinetic similarities. We compared the clinical safety and efficacy of ABP 980 with that of trastuzumab in women with HER2-positive early breast cancer. Methods We did a randomised, multicentre, double-blind, active-controlled equivalence trial at 97 study centres in 20 countries, mainly in Europe and South America. Eligible women were aged 18 years or older, had histologically confirmed HER2-positive invasive early breast cancer, an Eastern Cooperative Oncology Group performance status score of 0 or 1, and were planning to have surgical resection of the breast tumour with sentinel or axillary lymph node dissection and neoadjuvant chemotherapy. After four cycles of run-in anthracycline-based chemotherapy, patients were assigned 1:1 to receive ABP 980 or trastuzumab with a permuted block design (blocks of four) computer-generated randomisation schedule. Patients received neoadjuvant therapy with a loading dose (8 mg/kg) of ABP 980 or trastuzumab plus paclitaxel 175 mg/m 2 in a 90 min intravenous infusion, followed by three cycles of 6 mg/kg intravenous ABP 980 or trastuzumab plus paclitaxel 175 mg/m 2 every 3 weeks in 30 min intravenous infusions (or 80 mg/m 2 paclitaxel once per week for 12 cycles if that was the local standard of care). Randomisation was stratified by T stage, node status, hormone receptor status, planned paclitaxel dosing schedule, and geographical region. Surgery was completed 3–7 weeks after the last dose of neoadjuvant treatment, after which adjuvant treatment with ABP 980 or trastuzumab was given every 3 weeks for up to 1 year after the first dose in the study. Patients had been randomly assigned at baseline to continue APB 980, continue trastuzumab, or switch from trastuzumab to APB 980 as their adjuvant treatment. The co-primary efficacy endpoints were risk difference and risk ratio (RR) of pathological complete response in breast tissue and axillary lymph nodes assessed at a local laboratory in all patients who were randomly assigned and received any amount of neoadjuvant investigational product and underwent surgery. We assessed safety in all patients who were randomly assigned and received any amount of investigational product. This trial is registered with ClinicalTrials.gov, number NCT01901146 and Eudra, number CT 2012-004319-29. Findings Of 827 patients enrolled, 725 were randomly assigned to receive ABP 980 (n=364) or trastuzumab (n=361). The primary endpoint was assessable in 696 patients (358 who received ABP 980 and 338 who received trastuzumab). Pathological complete response was recorded in 172 (48%, 95% CI 43–53) of 358 patients in the ABP 980 group and 137 (41%, 35–46) of 338 in the trastuzumab group (risk difference 7·3%, 90% CI 1·2–13·4; RR 1·188, 90% CI 1·033–1·366), with the upper bounds of the CIs exceeding the predefined equivalence margins of 13% and 1·318, respectively. Pathological complete response in the central laboratory assessment was seen in 162 (48%) of 339 patients assigned to ABP 980 at baseline and 138 (42%) of 330 assigned to trastuzumab at baseline (risk difference 5·8%, 90% CI −0·5 to 12·0, and RR 1·142, 90% CI 0·993 to 1·312). Grade 3 or worse adverse events during the neoadjuvant phase occurred in 54 (15%) of 364 patients in the ABP 980 group and 51 (14%) of 361 patients in the trastuzumab group, of which the most frequent grade 3 or worse event of interest was neutropenia, occurring in 21 (6%) patients in both groups. In the adjuvant phase, grade 3 or worse adverse events occurred in 30 (9%) of 349 patients continuing ABP 980, 11 (6%) of 171 continuing trastuzumab, and 13 (8%) of 171 who switched from trastuzumab to ABP 980, the most frequent grade 3 or worse events of interest were infections and infestations (four [1%], two [1%], and two [1%]), neutropenia (three [1%], two [1%], and one [1%]), and infusion reactions (two [1%], two [1%], and three [2%]). Two patients died from adverse events judged to be unrelated to the investigational products: one died from pneumonia while receiving neoadjuvant ABP 980 and one died from septic shock while receiving adjuvant ABP 980 after trastuzumab. Interpretation Although the lower bounds of the 90% CIs for RR and risk difference showed non-inferiority, the upper bounds exceeded the predefined equivalence margins when based on local laboratory review of tumour samples, meaning that non-superiority was non-conclusive. In our sensitivity analyses based on central laboratory evaluation of tumour samples, estimates for the two drugs were contained within the predefined equivalence margins, indicating similar efficacy. ABP 980 and trastuzumab had similar safety outcomes in both the neoadjuvant and adjuvant phases of the study. Funding Amgen.

Neoadjuvant chemotherapy (NAC) for breast cancer is widely utilized, and we performed genome-wide association studies (GWAS) to determine whether germ-line genetic variability was associated with benefit in terms of pathological complete response (pCR), disease-free survival, and overall survival in patients entered on the NSABP B-40 NAC trial, wherein patients were randomized to receive, or not, bevacizumab in addition to chemotherapy. Patient DNA samples were genotyped with the Illumina OmniExpress BeadChip. Replication was attempted with genotyping data from 1398 HER2-negative patients entered on the GeparQuinto NAC study in which patients were also randomized to receive, or not, bevacizumab in addition to chemotherapy. A total of 920 women from B-40 were analyzed, and 237 patients achieved a pCR. GWAS with three phenotypes (pCR, disease-free survival, overall survival) revealed no single nucleotide polymorphisms (SNPs) that were genome-wide significant (i.e. P≤5E-08) signals; P values for top SNPs were 2.04E-07, 5.61E-08, and 5.63E-08, respectively, and these SNPs were not significant in the GeparQuinto data. An ad-hoc GWAS was performed in the patients randomized to bevacizumab (457 patients with 128 pCR) who showed signals on chromosome 6, located within a gene, CDKAL1, that approached, but did not reach, genome-wide significance (top SNP rs7453577, P=2.97E-07). However, this finding was significant when tested in the GeparQuinto data set (P=0.04). In conclusion, we identified no SNPs significantly associated with NAC. The observation, in a hypothesis-generating GWAS, of an SNP in CDKAL1 associated with pCR in the bevacizumab arm of both B-40 and GeparQuinto requires further validation and study.

Background: Prediction of non-sentinel lymph node (SLN) status after primary systemic therapy (PST) may allow tailored axillary staging. The aim of this analysis was to compare established nomograms from i) the primary operative (n = 6) and ii) the neoadjuvant (n = 1) setting with an optimized nomogram to predict non-SLN status in patients after PST. Methods: 181 patients converting from cN1 prior to PST to ycN0 but found to have a histologically positive SLN in the SENTINA trial were analyzed. Established models were applied. An optimized model was compiled using univariate and subsequent multivariable logistic regression (backward selection, likelihood ratio test). Results: Area-under-the-curve (AUC) values from the primary operative models showed sufficient performance (0.82-0.71). For the neoadjuvant model, the AUC was found to be inferior to prior analyses (0.66) but within published confidence intervals. The SENTINA nomogram comprised the diameter of the largest lymph node (p = 0.006, odds ratio (OR) = 1.19), tumor size prior to PST (p = 0.085, OR = 1.31), and number of all positive SLN (p = 0.083, OR = 2.04). This model was validated using a separate cohort of arm C (n = 168, AUC 0.79, 95% confidence interval 0.74-0.85). Conclusion: We validated 7 models of prediction of non-SLN among patients showing axillary conversion through PST. Our own ‘SENTINA nomogram' yielded AUC values comparable to previous nomograms.

Summary Background Tumour-infiltrating lymphocytes (TILs) are predictive for response to neoadjuvant chemotherapy in triple-negative breast cancer (TNBC) and HER2-positive breast cancer, but their role in luminal breast cancer and the effect of TILs on prognosis in all subtypes is less clear. Here, we assessed the relevance of TILs for chemotherapy response and prognosis in patients with TNBC, HER2-positive breast cancer, and luminal–HER2-negative breast cancer. Methods Patients with primary breast cancer who were treated with neoadjuvant combination chemotherapy were included from six randomised trials done by the German Breast Cancer Group. Pretherapeutic core biopsies from 3771 patients included in these studies were assessed for the number of stromal TILs by standardised methods according to the guidelines of the International TIL working group. TILs were analysed both as a continuous parameter and in three predefined groups of low (0–10% immune cells in stromal tissue within the tumour), intermediate (11–59%), and high TILs (≥60%). We used these data in univariable and multivariable statistical models to assess the association between TIL concentration and pathological complete response in all patients, and between the amount of TILs and disease-free survival and overall survival in 2560 patients from five of the six clinical trial cohorts. Findings In the luminal–HER2-negative breast cancer subtype, a pathological complete response (pCR) was achieved in 45 (6%) of 759 patients with low TILs, 48 (11%) of 435 with intermediate TILs, and 49 (28%) of 172 with high TILs. In the HER2-positive subtype, pCR was observed in 194 (32%) of 605 patients with low TILs, 198 (39%) of 512 with intermediate TILs, and 127 (48%) of 262 with high TILs. Finally, in the TNBC subtype, pCR was achieved in 80 (31%) of 260 patients with low TILs, 117 (31%) of 373 with intermediate TILs, and 136 (50%) of 273 with high TILs (p 2 test for trend). In the univariable analysis, a 10% increase in TILs was associated with longer disease-free survival in TNBC (hazard ratio [HR] 0·93 [95% CI 0·87–0·98], p=0·011) and HER2-positive breast cancer (0·94 [0·89–0·99], p=0·017), but not in luminal–HER2-negative tumours (1·02 [0·96–1·09], p=0·46). The increase in TILs was also associated with longer overall survival in TNBC (0·92 [0·86–0·99], p=0·032), but had no association in HER2-positive breast cancer (0·94 [0·86–1·02], p=0·11), and was associated with shorter overall survival in luminal–HER2-negative tumours (1·10 [1·02–1·19], p=0·011). Interpretation Increased TIL concentration predicted response to neoadjuvant chemotherapy in all molecular subtypes assessed, and was also associated with a survival benefit in HER2-positive breast cancer and TNBC. By contrast, increased TILs were an adverse prognostic factor for survival in luminal–HER2-negative breast cancer, suggesting a different biology of the immunological infiltrate in this subtype. Our data support the hypothesis that breast cancer is immunogenic and might be targetable by immune-modulating therapies. In light of the results in luminal breast cancer, further research investigating the interaction of the immune system with different types of endocrine therapy is warranted. Funding Deutsche Krebshilfe and European Commission.

Importance Patients with breast cancer remain at risk of relapse after adjuvant therapy. Celecoxib has shown antitumor effects in preclinical models of human breast cancer, but clinical evidence is lacking. Objective To evaluate the role of celecoxib as an addition to conventional therapy for women with ERBB2 (formerly HER2)–negative primary breast cancer. Design, Setting, and Participants The Randomized European Celecoxib Trial (REACT) was a phase 3, randomized, double-blind study conducted in 160 centers across the UK and Germany testing 2 years of adjuvant celecoxib vs placebo among 2639 patients recruited between January 19, 2007, and November 1, 2012, with follow-up 10 years after treatment completion. Eligible patients had completely resected breast cancer with local and systemic therapy according to local practice. Patients with ERBB2-positive or node-negative and T1, grade 1 tumors were not eligible. Randomization was in a 2:1 ratio between celecoxib or placebo. Statistical analysis was performed from May 5, 2019, to March 5, 2020. Interventions Patients received celecoxib, 400 mg, or placebo once daily for 2 years. Main Outcomes and Measures The primary end point was disease-free survival (DFS), analyzed in the intention-to-treat population using Cox proportional hazards regression and log-rank analysis. Follow-up is complete. Results A total of 2639 patients (median age, 55.2 years [range, 26.8-86.0 years]) were recruited; 1763 received celecoxib, and 876 received placebo. Most patients’ tumors (1930 [73%]) were estrogen receptor positive or progesterone receptor positive and ERBB2 negative. A total of 1265 patients (48%) had node-positive disease, and 1111 (42%) had grade 3 tumors. At a median follow-up of 74.3 months (interquartile range, 61.4-93.6 years), DFS events had been reported for 487 patients (19%): 18% for those who received celecoxib (n = 323; 5-year DFS rate = 84%) vs 19% for those who received placebo (n = 164; 5-year DFS rate = 83%); the unadjusted hazard ratio was 0.97 (95% CI, 0.80-1.17; log-rankP = .75). Rates of toxic effects were low across both treatment groups, with no evidence of a difference. Conclusions and Relevance In this randomized clinical trial, patients showed no evidence of a DFS benefit for 2 years’ treatment with celecoxib compared with placebo as adjuvant treatment of ERBB2-negative breast cancer. Longer-term treatment or use of a higher dose of celecoxib may lead to a DFS benefit, but further studies would be required to test this possibility. Trial Registration ClinicalTrials.gov Identifier:NCT02429427and isrctn.org Identifier:ISRCTN48254013