Literature DB >> 33281950

The run-in phase of the prospective WSG-ADAPT HR+/HER2- trial demonstrates the feasibility of a study design combining static and dynamic biomarker assessments for individualized therapy in early breast cancer.

Ulrike Nitz1, Oleg Gluz1, Hans H Kreipe2, Matthias Christgen2, Sherko Kuemmel1, Frederick L Baehner3, Steven Shak3, Bahriye Aktas4, Michael Braun5, Kerstin Lüdtke-Heckenkamp6, Helmut Forstbauer7, Eva-Maria Grischke8, Benno Nuding9, Maren Darsow10, Claudia Schumacher11, Katja Krauss12, Wolfram Malter13, Marc Thill14, Mathias Warm15, Rachel Wuerstlein16, Ronald E Kates1, Nadia Harbeck17.   

Abstract

BACKGROUND: Endocrine sensitivity, as determined by response of the proliferation marker Ki-67 to short-term preoperative endocrine therapy (ET), is currently not included in adjuvant treatment decisions in hormone receptor (HR)+/human epidermal growth factor receptor 2 (HER2)- breast cancer (BC).
METHODS: The prospective WSG-ADAPT HR+/HER2- trial included patients with N0/N1 early BC who were candidates for adjuvant chemotherapy based on clinical-pathological criteria alone. The trial utilized a genomic assessment [the Recurrence Score (RS)] plus endocrine sensitivity testing to guide treatment. All patients received 3 (±1) weeks of preoperative induction ET. According to protocol, patients with RS 0-11 or RS 12-25 plus endocrine proliferation response (EPR, post-induction Ki-67 ⩽ 10%) were to be spared adjuvant chemotherapy.
RESULTS: The ADAPT HR+/HER2- trial run-in phase included 407 patients with baseline RS, of whom 386 (median age: 54 years) had complete data for Ki-67 at both baseline and post-induction. RS distribution: 23.1% RS 0-11, 58.3% RS 12-25, and 18.7% RS 26-100. EPR occurred in 84.3%, 76.0%, and 36.1% of these RS groups, respectively. Differences in EPR proportions (RS 26-100 versus others, RS 0-11 versus others) were significant (both p < 0.001); Ki-67 quotients were higher for RS 26-100 (p = 0.02, Mann-Whitney). In premenopausal women (n = 146, mostly tamoxifen-treated), median quotient of Ki-67 level (post/pre) was significantly higher than in postmenopausal women (n = 222, mostly aromatase-inhibitor treated; 0.67 versus 0.25, p < 0.001). EPR was significantly associated with baseline estrogen-receptor status as determined by immunohistochemistry (p = 0.002) or real-time polymerase chain reaction (p < 0.001). Also, a strong correlation was observed between RS measured pre- and post-ET (RS = 0.7, n = 181).
CONCLUSIONS: This phase of the WSG-ADAPT HR+/HER2- trial confirms trial design estimates of RS and EPR. It indicates that the ADAPT concept of combining static and dynamic biomarker assessment for individualized therapy decisions in early BC is feasible using the EPR criterion post-induction Ki-67 ⩽ 10%. CLINICALTRIALSGOV IDENTIFIER: NCT01779206.
© The Author(s), 2020.

Entities:  

Keywords:  Ki-67; Recurrence Score; biomarker; breast cancer; endocrine therapy

Year:  2020        PMID: 33281950      PMCID: PMC7692353          DOI: 10.1177/1758835920973130

Source DB:  PubMed          Journal:  Ther Adv Med Oncol        ISSN: 1758-8340            Impact factor:   8.168


Introduction

Adjuvant endocrine therapy [aromatase inhibitors (AIs) in postmenopausal and tamoxifen in premenopausal women] is the standard of care in women with early hormone receptor (HR)+ breast cancer (BC). For chemotherapy, modern precision medicine strategies are increasingly applied to identify the minority of patients with HR+ human epidermal growth-factor receptor 2 (HER2)– tumors who could benefit from it. For endocrine therapy, its use in the HR+ population is unselective, as there are currently no validated predictive markers for patient selection. Possible predictors for AI sensitivity in the adjuvant setting were identified, and include lobular histology, Ki-67, and high estrogen receptor (ER) expression (determined by immunohistochemistry).[1-3] For tamoxifen sensitivity, high expression of ESR1 messenger ribonucleic acid (mRNA; within genomic signatures) was identified as a possible predictor.[4] The preoperative/neoadjuvant setting offers a unique opportunity for assessment of sensitivity to specific therapies. For HR+ disease, Ki-67 is a validated pharmacodynamic predictor for endocrine therapy response. The IMPACT trial, which compared preoperative therapy with tamoxifen, anastrozole, or their combination for 12 weeks in postmenopausal women with HR+ BC demonstrated that higher Ki-67 levels after 2 weeks of endocrine therapy (but not at baseline) were statistically significantly associated with lower recurrence-free survival (RFS).[5] The P024 trial, which demonstrated superiority of AI (letrozole) over tamoxifen in HR+ postmenopausal women in the neoadjuvant setting, showed that the impact of letrozole on Ki-67 (measured at baseline and after 4 months of treatment) was statistically significantly greater than that of tamoxifen.[6,7] Similarly, the POETIC trial, in which postmenopausal women with ER+ BC were randomized to AI (anastrozole or letrozole) or no treatment for 2 weeks before and 2 weeks after surgery, also demonstrated greater Ki-67 suppression after 2 weeks of AI versus no treatment.[8,9] Notably, Ellis et al. used data from 158 patients in the P024 trial to develop a preoperative endocrine prognostic index (PEPI) for RFS which was then validated in an analysis of 203 patients from the IMPACT trial.[10] The parameters included in PEPI were tumor size, nodal status, post-treatment ER status, and post-treatment Ki-67 levels (pretreatment Ki-67 levels were not associated with relapse). Interestingly, in P024 as well as in IMPACT, no relapses were recorded for patients with pathological stage 0/1, and a PEPI risk score of 0 [T1/T2, N0, post-treatment ER status of 3–8 (Allred score), and Ki-67 ⩽ 2.7%].[10] The goal of the WSG-ADAPT HR+/HER2− trial was to address individualization of adjuvant therapy in early BC by using a static biomarker [the 21-gene Recurrence Score (RS), a well-validated prognosticator and a predictor of chemotherapy benefit in HR+ HER2− BC patients[11-13]] in combination with an early response predictor (the levels of the proliferation marker Ki-67 before and after induction therapy).[14] The aim of the run-in phase of the WSG-ADAPT HR+/HER2− trial was to determine feasibility of the trial concept with EPR defined as post-induction Ki-67 ⩽ 10% and to test key assumptions used in trial design.

Methods

Study design

The study design was previously described.[14] In short, the WSG-ADAPT HR+/HER2− trial was a sub-trial under the prospective, multi-center, controlled, non-blinded, randomized, investigator-initiated phase II/III WSG-ADAPT umbrella trial (Figure 1). All patients in the WSG-ADAPT HR+/HER2− trial received endocrine therapy as induction treatment according to menopausal status per the German Gynecological Oncology Group (AGO) guidelines.[15] Premenopausal patients were recommended to receive tamoxifen (20 mg, daily) and postmenopausal patients were recommended to receive AIs (letrozole, 2.5 mg, daily; anastrozole, 1 mg, daily; or exemestane, 25 mg, daily, at investigator’s choice). Use of luteinizing-hormone releasing hormone (LHRH) agonists in premenopausal patients was optional at investigator’s discretion. Deviations from these recommendations are reported below.
Figure 1.

WSG-ADAPT HR+/HER2− trial design. Reprinted from Hofmann et al.[14]

HR, hormone receptor; HER2, human epidermal growth-factor receptor 2; q1w, weekly; pCR, pathologic complete response; q2w, every second week; RS, Recurrence Score.

WSG-ADAPT HR+/HER2− trial design. Reprinted from Hofmann et al.[14] HR, hormone receptor; HER2, human epidermal growth-factor receptor 2; q1w, weekly; pCR, pathologic complete response; q2w, every second week; RS, Recurrence Score. Patients underwent diagnostic core biopsy, followed by induction endocrine therapy for 3 weeks. Analysis of the initial and second biopsy after induction endocrine therapy included Ki-67 evaluation (determined by immunohistochemistry in a central lab) and RS assessment (performed by Genomic Health, Inc., Redwood City, CA). In addition to Ki-67 changes, the run-in phase included immunohistochemical measurements of staining percent for progesterone receptor (PR) and ER post-therapy versus baseline and of genomic proliferation response (utilizing a subset of the RS genes). ER, PR mRNA expression levels by reverse transcriptase polymerase chain reaction (RT-PCR) were reported within 21-gene RS assay and analyzed as reported previously.[11] These additional measurements served as auxiliary indicators of response/resistance to endocrine therapy.

Study participants

Eligibility criteria were previously described.[14] In short, the WSG-ADAPT umbrella trial included women with early primary invasive BC aged >18 years with any cT1a–cT4c tumor size and any nodal status. The WSG-ADAPT HR+/HER2− sub-trial included patients with HR+/HER2− early BC and no evidence of metastatic disease who were candidates for (neo)adjuvant chemotherapy by current guidelines. HR and HER2 status for this trial were determined by local pathology. In addition, patients had to be not pregnant (i.e. negative pregnancy test within 7 days prior to induction therapy), had to be able to tolerate treatment, as indicated by normal laboratory values and proper organ function, and without known hypersensitivity reaction to the therapeutic agents. Patients with risk of poor compliance and those not able to consent were excluded. The run-in phase reported here included N0–N3 patients; patients with N2–N3 disease were considered high risk and were randomized to a chemotherapy arm irrespective of RS and EPR. According to protocol, the run-in phase, which began in July 2012, continued until a ‘freeze date’ determined by the requirement that 400 patients with valid baseline RS had been registered. The resulting freeze date for the run-in phase was 31 July 2013. Due to measurement and reporting latencies, the run-in patient collective as analyzed in this paper, in fact, included n = 407 consecutively registered patients with valid baseline RS.

Outcome assessments

In the main trial, patients with RS 0–11 in the initial biopsy were considered low risk and were to receive endocrine therapy only (Figure 1). Patients with RS 26–100 were considered higher risk and were to be randomized to a chemotherapy arm, as described.[14] For patients with RS 12–25 (intermediate risk), the goal according to protocol was to verify the feasibility of defining EPR to induction therapy as a 3-week measurement of Ki-67 ⩽ 10% (denoted EPR below); the intention was to utilize EPR as the criterion to allocate the group of patients with RS 12–25 and pN0–1 to low-risk and high-risk treatment groups. In order to verify trial design assumptions, the feasibility study determined EPR proportions according to baseline RS category. In addition to EPR defined in this way, other indicators of proliferation response such as changes (3-week versus baseline) in endocrine receptor measurements as well as in genomic variables served as an additional window to the underlying biological processes that motivated splitting the RS 12–25 group in the main trial according to early response. They also served as potential alternative criteria for early response.

Statistical considerations

Descriptive statistics were used to describe patient characteristics and Ki-67 proliferation dynamics. To avoid confusion, it is worth noting that the units of Ki-67 are ‘%’ due to the measurement methodology. A binary variable denoted EPR was coded as one if post-therapy Ki-67 ⩽ 10%, otherwise zero. Associations in 2 × 2 contingency tables were tested by chi-squared or Fisher’s exact test. Differences in means of continuous variables between two independent subgroups were tested by t-test statistics if approximately normally distributed; otherwise (as in the case of Ki-67 ratios post-/pre-treatment), medians were reported and the Mann–Whitney U test was used. In case of continuous variable comparisons among three subgroups (e.g. RS groups 0–11, 12–25, 26–100), pairwise comparisons were considered. Correlation analysis among continuous variables used rank (Spearman) correlation coefficients, denoted RS. Multiple (forward) regression (logistic and linear) models were used to test for potential impacts of additional dynamical variables (such as RS change) on Ki-67 response to therapy. The in-sample area under the curve (AUC) of the receiver operating characteristic (ROC) curve from the logistic regression model was computed to characterize residual variance. No corrections for multiple testing were performed. SPSS version 25 (IBM, Armonk, New York, USA) was used for models and statistical tests. p < 0.05 was considered statistically significant.

Ethical considerations and consent

The WSG-ADAPT trial was conducted in accordance with the Declaration of Helsinki, ICH-GCP and all applicable German laws/requirements. The trial received a positive vote by the leading Ethics Committee (Ethics Committee of the University of Cologne, Germany) representing the Ethics Committees of each involved institution on 29 March 2012. The Competent Authority [Bundesinstitut für Arzneimittel und Medizinprodukte (BfArM), Germany] approved the trial on 11 November 2011. All patients signed three informed consents to participate in the study; one for the ADAPT umbrella trial, one for their specific sub-trial, and one for blood and tissue sample donation (optional).

Results

Patient characteristics

The ADAPT HR+/HER2− trial run-in phase included 407 patients with baseline RS, of whom 386 had complete data for Ki-67 at both baseline and post-induction. Patient characteristics are presented in Table 1. Median age was 54 (range: 28–75) years. Among patients with known nodal status (cN) about 87% were cN0, and less than 1% were considered cN2–3. Approximately 60% had cT1 tumors, 37% had cT2, and less than 3% had larger tumors.
Table 1.

Patient baseline characteristics.

Characteristicn = 386
Age, years
 Median (range)54 (28–75)
Menopausal status[a], n (%)
 Premenopausal156 (40.4)
 Postmenopausal230 (59.6)
Nodal status, n (%)
 cN0335 (86.8)
 cN146 (11.9)
 cN22 (0.5)
 cN31 (0.3)
 NA2 (0.5)
Grade, n (%)
 G125 (6.5)
 G2259 (67.1)
 G399 (25.6)
 NA3 (0.8)
Tumor size, n (%)
 cT1232 (60.1)
 cT2142 (36.8)
 cT39 (2.3)
 cT42 (0.5)
 NA1 (0.3)
Therapy, n (%)
 Tamoxifen175 (45.3)
 Aromatase inhibitor208 (53.9)
 NA3 (0.8)
Recurrence Score result, n (%)
 0–1189 (23.1)
 12–25225 (58.3)
 26–10072 (18.7)
Ki-67, n (%)
 0–10%126 (32.6)
 11–35%224 (58.0)
 ⩾40%36 (9.3)

Known or assigned, based on therapy.

NA, not available/not applicable.

Patient baseline characteristics. Known or assigned, based on therapy. NA, not available/not applicable.

Ki-67 proliferation dynamics and RS

The distribution of the RS was 23.1% RS 0–11, 58.3% RS 12–25, and 18.7% RS 26–100. Baseline Ki-67 was moderately correlated with baseline RS (RS = 0.47, n = 386). The median baseline Ki-67 levels were 10%, 15%, and 30% in these RS groups, respectively (Table 2).
Table 2.

Ki-67 proliferation dynamics by Recurrence Score group.

RS 0–11n = 89RS 12–25n = 225RS 26–100n = 72
Median baseline Ki-6710%15%30%
EPR rate[a]84.3%76.0%36.1%
Median Ki-67 quotient (post-induction/baseline)[b]0.330.400.60

p < 0.001 for RS 26–100 versus others and RS 0–11 versus others.

p = 0.02 for RS 26–100 versus others.

EPR, endocrine proliferation response, defined as post-induction Ki-67 ⩽ 10%; RS, Recurrence Score.

Ki-67 proliferation dynamics by Recurrence Score group. p < 0.001 for RS 26–100 versus others and RS 0–11 versus others. p = 0.02 for RS 26–100 versus others. EPR, endocrine proliferation response, defined as post-induction Ki-67 ⩽ 10%; RS, Recurrence Score. Analysis of Ki-67 levels after induction therapy in each RS group demonstrated heterogeneity of the proliferation dynamics, and a strong relationship between the baseline RS group and changes in both EPR and quantitative Ki-67 (Table 2). In the RS 0–11, 12–25, and 26–100 groups, EPR occurred in 84.3%, 76.0%, and 36.1%, while median Ki-67 quotients (post-induction/baseline) were 0.33, 0.40, and 0.60, respectively. These differences in EPR proportions were significant for the comparisons of RS 26–100 versus others and RS 0–11 versus others (both p < 0.001); Ki-67 quotients were significantly higher for RS 26–100 than for other RS groups (p = 0.02, Mann–Whitney). Endocrine therapy with AI appeared to be more effective in reducing Ki-67 on treatment than tamoxifen: median post-/pre-treatment Ki-67 quotients were 0.25 (AI) versus 0.67 (tamoxifen) (p < 0.001). However, noting that only 2/156 premenopausal women received AI (plus gonadotropin-releasing hormone analogs), and only 21/230 postmenopausal women received tamoxifen, the same median reduction quotients are found if we compare postmenopausal with premenopausal women (rather than AI with tamoxifen). Among postmenopausal women, the absolute decrease in Ki-67 on AI therapy was 12.9% compared to 7.8% on tamoxifen (p = 0.05). This difference within postmenopausal women suggests that treatment with AI may in fact be more effective in overcoming endocrine resistance, but more data will be required to separate out the confounded impacts of menopausal status versus AI treatment. The percentage of postmenopausal patients (n = 209) with EPR was approximately 83% on AI compared with approximately 71% on tamoxifen (n = 21), but this difference was not significant.

Impact of additional baseline factors on response to induction therapy

In addition to the association with the RS, EPR was associated with baseline ER levels as determined either by immunohistochemistry (p = 0.003) or by RT-PCR (p < 0.001); EPR was also associated with baseline PR levels as determined by RT-PCR (p = 0.003; all p values by Mann–Whitney U test).

Alternative measures of proliferation response

An mRNA-based measure of proliferation response (recurrence proliferation score) was available in 176 patients. This mRNA-based proliferation response measure was strongly correlated with the change (post-therapy minus baseline) in Ki-67 (RS = 0.6, n = 185); mRNA-based proliferation response was stronger with AI than with tamoxifen (p < 0.001). PR change (percent stained cells post-therapy minus baseline) was weakly correlated with both Ki-67 change (RS = 0.25, n = 386) and with mRNA-based proliferation response (RS = 0.27, n = 176). PR percent decreased more strongly on AI (−43) than on tamoxifen (−9) (p < 0.001). Finally, PR change had a weak negative correlation with RS change (RS = −0.39, n = 176). ER change was not significantly correlated with changes in Ki-67, RS, PR, or with mRNA-based proliferation response among all patients. Among patients receiving AI, ER change had a weak negative correlation with mRNA-based proliferation response (Rs = −0.28, p = 0.007). Since the RS is hardly subject to interobserver variability, the potential predictive value of RS dynamics (post-therapy versus baseline) to characterize endocrine response was studied by multiple linear multiple regression models for post-treatment Ki-67 (as a continuous variable) and by multiple logistic regression for EPR (as a binary variable). Baseline Ki-67 and both baseline values and changes in ER, PR (immunohistochemistry staining percentages), and RS were entered in both kinds of regression models. In linear regression of post-therapy Ki-67, the resulting predictors were baseline Ki-67, PR, and RS, as well as change in RS. However, in logistic regression for EPR, the predictors in the model were baseline Ki-67, PR, and RS, as well as the change in PR, but not change in RS [ER (baseline or change) did not enter either of the multiple regression models]. The in-sample AUC of the logistic regression model was 0.75, indicating considerable residual variance.

Discussion

The run-in phase of the WSG-ADAPT HR+/HER2− study confirmed feasibility of EPR, defined as Ki-67 ⩽ 10%, and trial design estimates with respect to RS distribution and the prevalence of EPR in RS groups (particularly the EPR rate of >70% in the RS 12–25 group). The results thus indicated feasibility of the multicenter prospective ADAPT concept combining static and dynamic biomarker assessment for individualized therapy decisions in early BC. The WSG-ADAPT trial is the first BC trial in which patients with RS 12–25 (intermediate genomic risk) who are responders by Ki-67 (here according to EPR) receive no chemotherapy. The WSG-ADAPT HR+/HER2– trial tests non-inferiority (for event-free survival) in N0/N1 patients with RS 12–25 and EPR, compared with N0/N1 patients with RS 0–11 (low genomic risk), with both groups receiving endocrine therapy only. If non-inferiority can be demonstrated, it would provide strong support for the WSG-ADAPT strategy,[14] namely using RS and endocrine proliferation response to spare adjuvant chemotherapy in >70% of N0/N1 HR+/HER2− patients who would otherwise be candidates for adjuvant chemotherapy, based on clinical−pathological criteria alone. The run-in phase demonstrated that proliferation response (by EPR or other measures) was strongly associated with menopausal status and/or therapy group (i.e. AI in postmenopausal women versus tamoxifen in premenopausal women). The main trial could help clarify the relative importance of factors influencing response. Lastly, the study suggests that measuring the RS at baseline (from the core biopsy) is sufficient, and that there is no need to measure the RS again after the induction therapy. The absence of RS dynamics in the logistic regression model for EPR, as well as the strong correlation of RS pre- and post-endocrine therapy, suggest that post-therapy RS would provide only limited additional value for characterizing response to endocrine therapy. The residual variance (evident from only moderately high in-sample AUC of 0.75, presumably lower out of sample) also indicates that EPR cannot be accurately predicted using baseline values. Our study has some limitations. Omission of chemotherapy in patients with pN0 and particularly in pN1 BC patients with RS 12–25 and EPR represents an experimental strategy which will be addressed by the results of the fully recruited ADAPT trial. Furthermore, the lower EPR rates observed after tamoxifen alone in premenopausal women compared with those after AI in postmenopausal women may be overcome by use of LHRH agonists, together with an AI in premenopausal patients. This may indeed be a more promising strategy for premenopausal women at high risk for recurrence based on the results of the SOFT/Text trials,[16] which were published after the ADAPT trial had started. In conclusion, the run-in phase of WSG-ADAPT HR+/HER2− sub-trial was successful. The whole WSG-ADAPT HR+/HER2− sub-trial includes a total of 5625 registered and 4691 randomized (2356 allocated to endocrine treatment, 94 to the run-in chemotherapy question, and 2241 to the ‘main phase’ chemotherapy question) patients; first outcome results will be available after completing a minimum of 5-year follow up in at least 1740 patients treated with endocrine therapy alone (expected towards the end of 2020 or in 2021).
  14 in total

1.  Estrogen receptor and progesterone receptor as predictive biomarkers of response to endocrine therapy: a prospectively powered pathology study in the Tamoxifen and Exemestane Adjuvant Multinational trial.

Authors:  John M S Bartlett; Cassandra L Brookes; Tammy Robson; Cornelis J H van de Velde; Lucinda J Billingham; Fiona M Campbell; Margaret Grant; Annette Hasenburg; Elysée T M Hille; Charlene Kay; Dirk G Kieback; Hein Putter; Christos Markopoulos; Elma Meershoek-Klein Kranenbarg; Elizabeth A Mallon; Luc Dirix; Caroline Seynaeve; Daniel Rea
Journal:  J Clin Oncol       Date:  2011-03-21       Impact factor: 44.544

2.  Gene expression and benefit of chemotherapy in women with node-negative, estrogen receptor-positive breast cancer.

Authors:  Soonmyung Paik; Gong Tang; Steven Shak; Chungyeul Kim; Joffre Baker; Wanseop Kim; Maureen Cronin; Frederick L Baehner; Drew Watson; John Bryant; Joseph P Costantino; Charles E Geyer; D Lawrence Wickerham; Norman Wolmark
Journal:  J Clin Oncol       Date:  2006-05-23       Impact factor: 44.544

3.  A multigene assay to predict recurrence of tamoxifen-treated, node-negative breast cancer.

Authors:  Soonmyung Paik; Steven Shak; Gong Tang; Chungyeul Kim; Joffre Baker; Maureen Cronin; Frederick L Baehner; Michael G Walker; Drew Watson; Taesung Park; William Hiller; Edwin R Fisher; D Lawrence Wickerham; John Bryant; Norman Wolmark
Journal:  N Engl J Med       Date:  2004-12-10       Impact factor: 91.245

4.  Outcomes in women with invasive ductal or invasive lobular early stage breast cancer treated with anastrozole or exemestane in CCTG (NCIC CTG) MA.27.

Authors:  K Strasser-Weippl; G Sudan; R Ramjeesingh; L E Shepherd; J O'Shaughnessy; W R Parulekar; P E R Liedke; B E Chen; P E Goss
Journal:  Eur J Cancer       Date:  2017-12-20       Impact factor: 9.162

5.  Letrozole inhibits tumor proliferation more effectively than tamoxifen independent of HER1/2 expression status.

Authors:  Matthew J Ellis; Andrew Coop; Baljit Singh; Yu Tao; Antonio Llombart-Cussac; Fritz Jänicke; Louis Mauriac; Erhard Quebe-Fehling; Hilary A Chaudri-Ross; Dean B Evans; William R Miller
Journal:  Cancer Res       Date:  2003-10-01       Impact factor: 12.701

6.  Prognostic and predictive value of centrally reviewed Ki-67 labeling index in postmenopausal women with endocrine-responsive breast cancer: results from Breast International Group Trial 1-98 comparing adjuvant tamoxifen with letrozole.

Authors:  Giuseppe Viale; Anita Giobbie-Hurder; Meredith M Regan; Alan S Coates; Mauro G Mastropasqua; Patrizia Dell'Orto; Eugenio Maiorano; Gaëtan MacGrogan; Stephen G Braye; Christian Ohlschlegel; Patrick Neven; Zsolt Orosz; Wojciech P Olszewski; Fiona Knox; Beat Thürlimann; Karen N Price; Monica Castiglione-Gertsch; Richard D Gelber; Barry A Gusterson; Aron Goldhirsch
Journal:  J Clin Oncol       Date:  2008-11-03       Impact factor: 44.544

7.  Adjuvant Chemotherapy Guided by a 21-Gene Expression Assay in Breast Cancer.

Authors:  Joseph A Sparano; Robert J Gray; Della F Makower; Kathleen I Pritchard; Kathy S Albain; Daniel F Hayes; Charles E Geyer; Elizabeth C Dees; Matthew P Goetz; John A Olson; Tracy Lively; Sunil S Badve; Thomas J Saphner; Lynne I Wagner; Timothy J Whelan; Matthew J Ellis; Soonmyung Paik; William C Wood; Peter M Ravdin; Maccon M Keane; Henry L Gomez Moreno; Pavan S Reddy; Timothy F Goggins; Ingrid A Mayer; Adam M Brufsky; Deborah L Toppmeyer; Virginia G Kaklamani; Jeffrey L Berenberg; Jeffrey Abrams; George W Sledge
Journal:  N Engl J Med       Date:  2018-06-03       Impact factor: 91.245

8.  Tailoring Adjuvant Endocrine Therapy for Premenopausal Breast Cancer.

Authors:  Prudence A Francis; Olivia Pagani; Gini F Fleming; Barbara A Walley; Marco Colleoni; István Láng; Henry L Gómez; Carlo Tondini; Eva Ciruelos; Harold J Burstein; Hervé R Bonnefoi; Meritxell Bellet; Silvana Martino; Charles E Geyer; Matthew P Goetz; Vered Stearns; Graziella Pinotti; Fabio Puglisi; Simon Spazzapan; Miguel A Climent; Lorenzo Pavesi; Thomas Ruhstaller; Nancy E Davidson; Robert Coleman; Marc Debled; Stefan Buchholz; James N Ingle; Eric P Winer; Rudolf Maibach; Manuela Rabaglio-Poretti; Barbara Ruepp; Angelo Di Leo; Alan S Coates; Richard D Gelber; Aron Goldhirsch; Meredith M Regan
Journal:  N Engl J Med       Date:  2018-06-04       Impact factor: 91.245

9.  WSG ADAPT - adjuvant dynamic marker-adjusted personalized therapy trial optimizing risk assessment and therapy response prediction in early breast cancer: study protocol for a prospective, multi-center, controlled, non-blinded, randomized, investigator initiated phase II/III trial.

Authors:  Daniel Hofmann; Ulrike Nitz; Oleg Gluz; Ronald E Kates; Timo Schinkoethe; Peter Staib; Nadia Harbeck
Journal:  Trials       Date:  2013-08-19       Impact factor: 2.279

10.  Outcome prediction for estrogen receptor-positive breast cancer based on postneoadjuvant endocrine therapy tumor characteristics.

Authors:  Matthew J Ellis; Yu Tao; Jingqin Luo; Roger A'Hern; Dean B Evans; Ajay S Bhatnagar; Hilary A Chaudri Ross; Alexander von Kameke; William R Miller; Ian Smith; Wolfgang Eiermann; Mitch Dowsett
Journal:  J Natl Cancer Inst       Date:  2008-09-23       Impact factor: 13.506

View more
  7 in total

1.  Evaluation of Sensitivity to Endocrine Therapy Index (SET2,3) for Response to Neoadjuvant Endocrine Therapy and Longer-Term Breast Cancer Patient Outcomes (Alliance Z1031).

Authors:  Vera J Suman; Lili Du; Tanya Hoskin; Meenakshi Anurag; Cynthia Ma; Isabelle Bedrosian; Kelly K Hunt; Matthew J Ellis; W Fraser Symmans
Journal:  Clin Cancer Res       Date:  2022-08-02       Impact factor: 13.801

Review 2.  AGO Recommendations for the Diagnosis and Treatment of Patients with Early Breast Cancer: Update 2021.

Authors:  Nina Ditsch; Cornelia Kolberg-Liedtke; Michael Friedrich; Christian Jackisch; Ute-Susann Albert; Maggie Banys-Paluchowski; Ingo Bauerfeind; Jens-Uwe Blohmer; Wilfried Budach; Peter Dall; Eva M Fallenberg; Peter A Fasching; Tanja Fehm; Bernd Gerber; Oleg Gluz; Nadia Harbeck; Jörg Heil; Jens Huober; Hans-Heinrich Kreipe; David Krug; Thorsten Kühn; Sherko Kümmel; Sibylle Loibl; Diana Lüftner; Michael P Lux; Nicolai Maass; Christoph Mundhenke; Ulrike Nitz; Tjoung-Won Park-Simon; Toralf Reimer; Kerstin Rhiem; Achim Rody; Marcus Schmidt; Andreas Schneeweiss; Florian Schütz; Hans-Peter Sinn; Christine Solbach; Erich-Franz Solomayer; Elmar Stickeler; Christoph Thomssen; Michael Untch; Isabell Witzel; Achim Wöckel; Volkmar Müller; Wolfgang Janni; Marc Thill
Journal:  Breast Care (Basel)       Date:  2021-06-01       Impact factor: 2.268

3.  TP53 mutations are associated with primary endocrine resistance in luminal early breast cancer.

Authors:  Isabel Grote; Stephan Bartels; Leonie Kandt; Laura Bollmann; Henriette Christgen; Malte Gronewold; Mieke Raap; Ulrich Lehmann; Oleg Gluz; Ulrike Nitz; Sherko Kuemmel; Christine Zu Eulenburg; Michael Braun; Bahriye Aktas; Eva-Maria Grischke; Claudia Schumacher; Kerstin Luedtke-Heckenkamp; Ronald Kates; Rachel Wuerstlein; Monika Graeser; Nadia Harbeck; Matthias Christgen; Hans Kreipe
Journal:  Cancer Med       Date:  2021-11-14       Impact factor: 4.452

4.  Inter-observer agreement for the histological diagnosis of invasive lobular breast carcinoma.

Authors:  Matthias Christgen; Leonie Donata Kandt; Wiebke Antonopoulos; Stephan Bartels; Mieke R Van Bockstal; Martin Bredt; Maria Jose Brito; Henriette Christgen; Cecile Colpaert; Bálint Cserni; Gábor Cserni; Maximilian E Daemmrich; Raihanatou Danebrock; Franceska Dedeurwaerdere; Carolien Hm van Deurzen; Ramona Erber; Christine Fathke; Henning Feist; Maryse Fiche; Claudia Aura Gonzalez; Natalie D Ter Hoeve; Loes Kooreman; Till Krech; Glen Kristiansen; Janina Kulka; Florian Laenger; Marcel Lafos; Ulrich Lehmann; Maria Dolores Martin-Martinez; Sophie Mueller; Enrico Pelz; Mieke Raap; Alberto Ravarino; Tanja Reineke-Plaass; Nora Schaumann; Anne-Marie Schelfhout; Maxim De Schepper; Jerome Schlue; Koen Van de Vijver; Wim Waelput; Axel Wellmann; Monika Graeser; Oleg Gluz; Sherko Kuemmel; Ulrike Nitz; Nadia Harbeck; Christine Desmedt; Giuseppe Floris; Patrick Wb Derksen; Paul J van Diest; Anne Vincent-Salomon; Hans Kreipe
Journal:  J Pathol Clin Res       Date:  2021-12-10

Review 5.  Clinical validity and clinical utility of Ki67 in early breast cancer.

Authors:  Hans Kreipe; Nadia Harbeck; Matthias Christgen
Journal:  Ther Adv Med Oncol       Date:  2022-09-08       Impact factor: 5.485

6.  Association of Ki-67 Change Pattern After Core Needle Biopsy and Prognosis in HR+/HER2- Early Breast Cancer Patients.

Authors:  Shuai Li; Xiaosong Chen; Kunwei Shen
Journal:  Front Surg       Date:  2022-06-28

Review 7.  Systemic therapy for early-stage breast cancer: learning from the past to build the future.

Authors:  Elisa Agostinetto; Joseph Gligorov; Martine Piccart
Journal:  Nat Rev Clin Oncol       Date:  2022-10-17       Impact factor: 65.011

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.