| Literature DB >> 30833989 |
Rafael Caparica1, Matteo Lambertini1, Noam Pondé1, Debora Fumagalli2, Evandro de Azambuja1, Martine Piccart3.
Abstract
Achieving a pathologic complete response after neoadjuvant treatment is associated with improved prognosis in breast cancer. The CREATE-X trial demonstrated a significant survival improvement with capecitabine in patients with residual invasive disease after neoadjuvant chemotherapy, and the KATHERINE trial showed a significant benefit of trastuzumab-emtansine (TDM1) in human epidermal growth factor receptor 2 (HER2)-positive patients who did not achieve a pathologic complete response after neoadjuvant treatment, creating interesting alternatives of post-neoadjuvant treatments for high-risk patients. New agents are arising as therapeutic options for metastatic breast cancer such as the cyclin-dependent kinase inhibitors and the immune-checkpoint inhibitors, but none has been incorporated into the post-neoadjuvant setting so far. Evolving techniques such as next-generation sequencing and gene expression profiles have improved our knowledge regarding the biology of residual disease, and also on the mechanisms involved in treatment resistance. The present manuscript reviews the current available strategies, the ongoing trials, the potential biomarker-guided approaches and the perspectives for the post-neoadjuvant treatment and the management of residual disease after neoadjuvant treatment in breast cancer.Entities:
Keywords: breast cancer; chemotherapy; pathologic complete response; post-neoadjuvant; residual disease
Year: 2019 PMID: 30833989 PMCID: PMC6393951 DOI: 10.1177/1758835919827714
Source DB: PubMed Journal: Ther Adv Med Oncol ISSN: 1758-8340 Impact factor: 8.168
Clinical trials evaluating post-neoadjuvant treatment strategies.
| Author | Year | Number of patients | Population | Treatment | Outcomes |
|---|---|---|---|---|---|
| Thomas, and colleagues[ | 2004 | 193 | T ⩾ 3 or N ⩾ 1, all BC subtypes | VACP × 3 | 5-year RFS |
| Gonzalez-Angulo and colleagues[ | 2015 | 43 | HER2-negative BC with residual disease after NAT | A. Ixabepilone × 6 | 3-year RFS |
| Miller and colleagues | 2015 (abstract) | 128 | Pts with | A. Cisplatin × 4 | 2-year DFS |
| von Minckwitz and colleagues[ | 2016 | 693 | All BC subtypes, residual disease after NAT | A. Zolendronate for 5 years | 5-year DFS |
| Masuda and colleagues[ | 2017 | 910 | HER2-negative BC with residual disease after NAT | A. Capecitabine × 6 or × 8 + standard-of -care | 5-year DFS |
| von Minckwitz and colleagues[ | 2018 | 1486 | HER2-positive BC with residual disease after NAT | A. TDM1 × 14 | 3-year DFS |
BC, breast cancer; DFS, disease-free survival; N, number of lymph nodes; NAT, neoadjuvant treatment; OS, overall survival; Pts, patients; RFS, recurrence-free survival; T, tumor size; TDM1, trastuzumab-emtansine; TNBC, triple-negative breast cancer; VACP, vincristine, doxorubicin, cyclophosphamide, and prednisone; VbMF, vinblastine, methotrexate, leucovorin and fluorouracil.
Phase III trials investigating the addition of fluoropyrimidines to neoadjuvant or adjuvant chemotherapy.
| Author | Year | Number of patients | Treatment | Outcomes |
|---|---|---|---|---|
| von Minckwitz and colleagues[ | 2010 | 1421 | pCR rates | |
| Kelly and colleagues[ | 2012 | 601 | 4-year RFS | |
| Ohno and colleagues[ | 2013 | 477 | pCR rates | |
| Steger and colleagues[ | 2014 | 536 | pCR rates | |
| Bear and colleagues[ | 2015 | 1206 | 5-year DFS | |
| Martín and colleagues[ | 2015 | 1384 | 5-year iDFS | |
| Del Mastro and colleagues[ | 2015 | 2091 | 5-year DFS | |
| Joensuu and colleagues[ | 2017 | 1500 | 10-year RFS | |
| Martín and colleagues[ | 2018 | 876 | Adjuvant (after neoadjuvant chemotherapy and surgery) | 5-year DFS |
AC, doxorubicin and cyclophosphamide; CES, cyclophosphamide, epirubicin and capecitabine; CEX, cyclophosphamide, epirubicin and capecitabine; DFS, disease-free survival; EC, epirubicin and cyclophosphamide; ET, epirubicin and docetaxel; FEC, fluoracil, epirubicin and cyclophosphamide; HR, hazard ratio; iDFS, invasive disease-free survival; OS, overall survival; pCR, pathologic complete response; RFS, recurrence-free survival.
Ongoing clinical trials investigating post-neoadjuvant treatment strategies.
| Trial | Population | Rationale | Design | Treatment |
|---|---|---|---|---|
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| ECOG-ACRIN | TNBC with residual invasive disease after NAT | Additional chemotherapy | Phase III | ARM A: cisplatin or carboplatin |
| NCT02530489 | TNBC patients with residual disease after anthracycline-based NAT | Immunotherapy with anti-PDL1 | Phase II | Weekly Nab-paclitaxel for 12 weeks plus atezolizumab (1200 mg every 3 weeks for 12 weeks) |
| NCT02954874 | TNBC patients with residual disease after NAT | Immunotherapy with anti-PD1 | Phase III | ARM A: pembrolizumab for 12 months |
| NCT02926196 | TNBC patients with residual disease after NAT | Immunotherapy with anti-PDL1 | Phase III | ARM A: avelumab for 12 months |
|
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| OLYMPIA | HER2-negative BC harboring | PARPi | Phase III | ARM A: olaparib for 12 months |
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| KATHERINE | HER2-positive BC who did not achieve pCR after NAT | TDM1 | Phase III | ARM A: TDM1 for 14 cycles |
| NCT02297698 | HER2-positive BC who did not achieve pCR after NAT | Vaccine combined with immune adjuvant | Phase II | Nelipepimut-S/GM-CSF for 2 years |
| NCT03384914 | HER2-positive BC who did not achieve pCR after NAT | Comparison of two different vaccines (WOKVAC and DC1) | Randomized Phase II | ARM A: WOKVAC for 1 year |
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| PENELOPE-B | Hormone receptor-positive, HER2-negative BC with residual disease after NAT | Combination of CDKi with endocrine treatment | Phase III | Standard endocrine therapy, and randomization to |
BC, breast cancer; CDKi, cyclin-dependent kinase inhibitors; DC1, dendritic cell vaccine; NAT, neoadjuvant treatment; NCT, ClinicalTrials.gov identifier; PARPi, poly ADP-ribose polymerase inhibitor; pCR, pathologic complete response; PD1, programmed-death receptor 1; PDL1, programmed-death receptor ligand 1; TDM1, trastuzumab-emtansine; TNBC, triple-negative breast cancer.
Figure 1.Potential strategies to manage residual disease after neoadjuvant treatment.
ctDNA, circulating tumoral DNA; HER2, human epidermal growth factor receptor 2; HR+, hormone receptor-positive breast cancer; LVI, lymphovascular invasion; NGS, next-generation sequencing; PARPi, poly ADP-ribose polymerase inhibitor; TDM1, trastuzumab-emtansine.
Studies evaluating Ki-67 expression in residual disease.
| First author | Number of patients | Ki-67 evaluation | Ki-67 cut-off | Results |
|---|---|---|---|---|
| Burcombe and colleagues[ | 27 | Before NAT, after one cycle of NAT and at the surgical specimen | N/A | 18 out of 26 patients had reduced Ki-67 levels in residual disease compared with baseline |
| Jones and colleagues[ | 103 | Before NAT and at the surgical specimen | N/A | 5-year RFS |
| von Minckwitz and colleagues[ | 667 | Before NAT and at the surgical specimen | High >35% | High levels in residual disease associated with worse DFS |
| Sheri and colleagues[ | 220 | Before NAT and at the surgical specimen | High >17% | 5-year RFS |
| Yoshioka and colleagues[ | 64 | Before NAT and at the surgical specimen | High >14% | High levels in residual disease associated with increased risk of recurrence |
| Yamazaki and colleagues[ | 217 | Before NAT and at the surgical specimen | High >20% | High levels in residual disease associated with increased risk of recurrence |
| Montagna and colleagues[ | 904 | Before NAT and at the surgical specimen | High >20% | Ki-67 expression decrease associated with improved DFS |
| Diaz-Botero and colleagues[ | 357 | Before NAT and at the surgical specimen | High >15% | High levels in residual disease associated with increased risk of recurrence |
| Cabrera-Galeana and colleagues[ | 435 | Before NAT and at the surgical specimen | Decrease ⩾1% in Ki-67 expression in residual disease | Increased risk of recurrence for the patients with no decrease or increase in Ki-67 (HR 3.39, |
DFS, disease-free survival; HR, hazard ratio; NAT, neoadjuvant treatment; RFS, recurrence-free survival; RR, relative risk.
Studies evaluating molecular biomarkers in residual disease.
| First author |
| Population | Biomarker / methods | Results |
|---|---|---|---|---|
| Gonzalez-Angulo and colleagues[ | 21 | All BC subtypes | Gene expression PAM50 | PAM50 subtype changed in 33.3% of the cases after NAT |
| Dunbier and colleagues[ | 81 | Hormone receptor-positive BC | Gene expression by Illumina | Downregulation of genes associated with cell proliferation and estrogen receptor |
| Yu and colleagues[ | 1st cohort: 49 | TNBC | Expression of seven genes (AR, GATA3, | 3-year RFS 76.9% for low risk |
| Balko and colleagues[ | 1st cohort: 49 | TNBC | Multigene expression | Downregulation of DUSP4 (MAPK inhibitor) in residual disease |
| Magbanua and colleagues[ | 39 | All BC subtypes | Gene expression PAM50 before and after NAT | Upregulation of genes related to cytokines and cell proliferation in residual disease associated with reduced RFS |
| Klintman and colleagues[ | 126 | All BC subtypes | Expression of 24 genes associated with cell proliferation and treatment resistance | 6-gene signature (ACACB, CD3D, DECORIN, ESR1, MKI67, PLAU) associated with worse prognosis ( |
| Beitsch and colleagues[ | 93 | All BC subtypes | Gene expression MammaPrint | 16 patients went from high risk to low risk, 1 changed from low risk to high risk, and 4 patients have changed their molecular subtype but remained in the high-risk population |
| Pinto and colleagues [ | 1st cohort: 82 patients | TNBC | Gene expression (449 genes profiled with NanoString) | 3-gene signature (CCL5, DDIT4 and POLR1C) associated with DFS outcomes, with high-risk predicting worse prognosis ( |
| Gay-Bellile and colleagues[ | 90 | All BC subtypes | ERCC1 (gene and protein expression, gene-copy number) | ERCC1 copy number variations associated with worse DFS ( |
| Gonzalez-Angulo | 1st cohort: 79 | 1st cohort | Reverse phase protein arrays | 1st cohort: 3 protein-score (phospho-CHK, caveolin‑1and RAB25) to define low |
| Sohn and colleagues[ | 54 | TNBC | Reverse phase protein arrays | 5 protein-score (AKT, IGFBP2, LKB1, S6 and |
| Yuan and colleagues[ | 102 | All BC subtypes | Polymerase chain reaction | Trend to worse DFS for patients who maintained PI3K mutation in residual disease ( |
| Jiang and colleagues[ | 1st cohort: 206 | All BC subtypes | Sanger sequencing DNA–PI3K and TP53 mutations | Improved DFS ( |
BC, breast cancer; CI, confidence interval; DFS, disease-free survival; ERCC1, excision repair cross complementation group 1 protein; HR, hazard ratio; N, number of patients; NAT, neoadjuvant therapy; OS, overall survival; RFS, recurrence-free survival; TNBC, triple-negative breast cancer.