| Literature DB >> 34277438 |
Qin He1, Yicheng Peng1, Jie Sun1, Jianxia Liu1.
Abstract
BACKGROUND: Triple-negative breast cancer (TNBC) comprises 15% of invasive breast cancers. Platinum-based chemotherapy and immune checkpoint inhibitors (ICIs) have been extensively researched in recent years as promising treatments in the neoadjuvant setting. However, clinical data is lacking in direct comparisons of these two treating regimens.Entities:
Keywords: immune checkpoint inhibitors; indirect treatment comparison; meta - analysis; neoadjuvant therapy; platinum; triple negative breast cancer
Year: 2021 PMID: 34277438 PMCID: PMC8281677 DOI: 10.3389/fonc.2021.693542
Source DB: PubMed Journal: Front Oncol ISSN: 2234-943X Impact factor: 6.244
Characteristics of eligible studies.
| Study | Year | Phase | Population | Platinum/ICI group | pCR | AT group | pCR |
|---|---|---|---|---|---|---|---|
| BrignTNess ( | 2018 | 3 | stage II–III TNBC | PCb-AC | 57.50% | P-AC | 31.01% |
| CALGB ( | 2014 | 2 | stage II–III TNBC | PCb-ddAC | 48.65% | P-ddAC | 29.25% |
| GEICAM/2006-03 ( | 2012 | 2 | TNBC | EC-DCb | 29.79% | EC-D | 34.78% |
| GeparOcto ( | 2019 | 3 | T1c-T4a-d TNBC and HER2+ BC | PMCb | 51.72% | ddEPC | 48.50% |
| GeparNuevo ( | 2019 | 2 | T2-T4a-d TNBC | Durva(nab-P-ddEC) | 53.40% | nab-P-ddEC | 44.20% |
| I-SPY2 ( | 2020 | 2 | high-risk stage II–III BC | PembroP-AC | 67.80% | P-AC | 21.35% |
| IMpassion031 ( | 2020 | 3 | stage II–III TNBC | Atezo(nab-P-AC) | 57.60% | nab-P-AC | 41.10% |
pCR, pathological complete response; A, doxorubicin; C, cyclophosphamide; Cb, carboplatin; D, docetaxel; E, epirubin; M, non-pegylated liposomal doxorubicin; P, paclitaxel; nab-P, nab-paclitaxel; dd, dose-dense; Durva, durvalumab; Pembro,pembrolizumab; Atezo, atezolizumab.
Figure 1PRISMA flow chart summarizing the process for the identification of eligible randomized controlled trials.
Figure 2Quality assessment for risk of bias for the included randomized controlled trials.
Figure 3Risk of bias for the included randomized controlled trials.
Figure 4Forest plot showing pooled OR of pCR in patients receiving ICIs vs AT-based NACT and platinum-based vs AT-based NACT in early TNBC patients.
Results of indirect comparison.
| OR | 95%CI | P | |
|---|---|---|---|
|
| 1.78 | 0.70–4.53 | 0.00445 |
|
| 1.61 | 1.02–2.54 | 0.02199 |
|
| 0.46 | 0.26–0.82 | 0.00015 |
|
| 0.2 | 0.03–1.56 | <0.00001 |
|
| 0.04 | 0.01–0.22 | <0.00001 |
|
| 0.05 | 0.00–0.72 | <0.00001 |
*Results excluding I-SPY2 and BrighTNess study.
Figure 5Sensitivity analysis comparing the incidence of pCR in patients receiving ICIs vs AT-based NACT (A) and platinum vs AT-based NACT (B).
Figure 6Forest plot showing pooled OR of pCR in patients receiving ICI vs AT-based NACT excluding I-SPY2 trial and in platinum vs AT-based NACT excluding BrighTNess trial.
Figure 7Funnel plot assessment of publication bias for pCR in patients receiving ICIs vs AT-based NACT and platinum-based vs AT-based NACT in early TNBC patients.
Figure 8Forest plot showing pooled incidence of discontinuation due to AE in patients receiving ICIs vs AT-based NACT and platinum-based vs AT-based NACT in early TNBC patients.
Figure 9Forest plot showing pooled incidence of grade 3–4 neutropenia (A), anemia (B), thrombocytopenia (C) in patients receiving ICIs vs AT-based NACT and platinum-based vs AT-based NACT in early TNBC patients, all grades of thyroid dysfunction (D) in patients receiving ICIs vs AT-based NACT.