Literature DB >> 24476748

Targeted therapy in triple-negative metastatic breast cancer: a systematic review and meta-analysis.

Otávio Clark1, Tobias Engel Ayer Botrel1, Luciano Paladini1, Mariana Bhering Andrade Ferreira2.   

Abstract

OBJECTIVE: To perform a systematic review and meta-analysis of randomized controlled trials that compared the efficacy of targeted therapy to conventional chemotherapy (CT) in patients with metastatic triple-negative breast cancer (TNBC).
METHODS: Several databases were searched, including Medline, Embase, LILACS, and CENTRAL. The primary end point was progression-free survival (PFS). We performed a meta-analysis of the published data. The results are expressed as hazard ratio (HR) or risk ratio, with their corresponding 95% confidence intervals (95% CIs).
RESULTS: The final analysis included twelve trials comprising 2,054 patients with TNBC, which compared conventional CT alone against CT combined with targeted therapy (bevacizumab [Bev], sorafenib [Sor], cetuximab, lapatinib, and iniparib). PFS was superior in previously untreated patients with TNBC who received Bev plus CT compared to CT alone (fixed effect, HR 0.62, 95% CI 0.51-0.75; P<0.00001). Also, PFS was higher in one study that tested Bev plus CT combination in previously treated patients (HR 0.49, 95% CI 0.33-0.74; P=0.0006). Sor plus CT was also tested as first-line and second-line treatments. The pooled data of PFS favored the combination CT plus Sor (fixed effect, HR 0.69, 95% CI 0.49-0.98; P=0.04). Comparisons of iniparib plus CT also had a better PFS than CT alone (fixed effect, HR 0.75, 95% CI 0.62-0.90; P=0.002).
CONCLUSION: Targeted therapy, when associated with conventional CT, demonstrated gains in the PFS of patients with TNBC.

Entities:  

Keywords:  breast cancer; chemotherapy; systematic review; triple-negative

Year:  2014        PMID: 24476748      PMCID: PMC3891489          DOI: 10.2147/CE.S52197

Source DB:  PubMed          Journal:  Core Evid        ISSN: 1555-1741


Introduction

Metastatic breast cancer is generally considered an incurable malignancy.1 The primary goals of treatment have been palliation and disease control, with some therapies providing a limited survival benefit.1 Around 10%–17% of breast cancers are defined as triple-negative (TN), ie, absence of estrogen receptor, progesterone receptor, and of overexpression and/or amplification of the HER2/NEU gene.2–8 These tumors have some similarities with those known as basal-like tumors, since both affect young patients (<50 years old) and have a higher prevalence in women of African descent, besides being significantly more aggressive, with higher risk of systemic recurrence and death than other breast tumors.3,4,9,10 The peak risk of recurrence of these tumors happens between the first and third years after diagnosis, and most deaths occur within the first 5 years after therapy starts.3,8,11 The finding that BRCA1 mutations are present in a substantial proportion (25%) of patients with TN breast cancer (TNBC) and the similarities of these tumors with the basal-like subtype suggest that the therapeutic approach can be shared between these tumors.4,12,13 Preclinical studies have shown that these tumors are sensitive to alkylating agents, such as mitomycin C and platinum analogues (cisplatin and carboplatin).14,15 Currently, cytotoxic chemotherapy (CT) is the only option of treatment for metastatic TNBC. Women with TNBC do not seem to benefit from endocrine therapy or trastuzumab.14 Some molecular-targeted therapies have demonstrated efficacy in this subgroup of patients.16,17 Bevacizumab (Bev), a monoclonal antibody against vascular endothelial growth factor, used in association with conventional CT was evaluated in randomized studies that included TNBC patients. Results for this subgroup showed a benefit for this medication.16,17 Other examples of drugs with potential benefit for TNBC are cetuximab (epidermal growth-factor receptor inhibition)18 and poly(adenosine diphosphate-ribose) polymerase (PARP) inhibition.19 Due to the lack of specific information, there are no published evidence-based clinical guidelines with explicit recommendations about which systemic treatment scheme is more appropriate for these patients with advanced TNBC.9,11 The clinical impact of molecular-targeted therapy in the TN population is still not clear.20 Most information about TN patients comes from subgroup analyses of larger trials, and to our knowledge no systematic synthesis of the studies has been performed so far. The objective of this study was to perform a systematic review of the literature, with a meta-analysis of randomized studies that evaluated the targeted therapies with conventional CT versus conventional CT alone in patients with TNBC (or basal-like tumor).

Methods

Study-selection criteria

Types of studies

Randomized prospective studies that compared targeted therapy combined with conventional CT versus conventional CT alone in patients with TNBC (or basal-like tumor) were included. We included studies that specifically evaluated this population or those in which a separate analysis for the TNBC patients was performed.

Types of participants

The selected studies included patients with metastatic TNBC.

Search strategy for identification of studies

A broad search on the main computerized databases was conducted, including Embase, LILACS, Medline, Science Citation Index (SCI), CENTRAL, the National Cancer Institute Clinical Trials Service, and the Clinical Trials Register. In addition, the annual meeting proceedings of the American Society of Clinical Oncology, the San Antonio Breast Cancer Symposium, the American Association for Cancer Research, and the European Society for Medical Oncology were searched. The manufacturer of Bev in Brazil (Roche) was consulted about ongoing studies that had not yet been published or identified. The search-strategy methodology for randomized controlled trials21 recommended by the Cochrane Collaboration22 was used for Medline. We used an adaptation of this same strategy21 for Embase, and for LILACS we applied the search-strategy methodology reported by Castro et al.23 An additional search was performed on the SCI database looking for articles that were cited in the included studies. We added the specific terms pertinent to this review to the overall search-strategy methodology for each database. The overall search strategy was: 1) “breast neoplasms,” 2) “triple negative,” 3) “chemotherapy,” and 4) randomized controlled trial. Searches in electronic databases combined terms 1–4. If the data regarding the TN population were not available in the original report, we searched many secondary sources and tried to contact the authors of those studies in order to obtain the information.

Critical evaluation of the selected studies

All references retrieved by the search strategies had their title and abstract evaluated by two of the researchers. Every reference with the least indication of fulfilling the inclusion criteria was listed as preselected. We retrieved the complete articles of all preselected references. They were analyzed by two different researchers and included or excluded according to the previously reported criteria. Excluded trials and the reason for their exclusion were listed and checked by a third reviewer. Two reviewers read the included studies, and all data of interest were extracted using a standard formulary. If the TNBC analysis was not reported in the original paper, we looked for it in many different sources, such as secondary publications, meeting publications, and direct contact with authors, among others. Details regarding the main methodology characteristics empirically linked to bias24 were extracted, and the methodological validity of each selected trial was assessed by two reviewers (TEAB and OC). Particular attention was given to some items: the generation and concealment of the sequence of randomization; blinding; application of intention-to-treat analysis; sample size predefinition; adverse-event reports; if the trial was multicentric or unicentric; and the sponsorship.

Data extraction

Two independent reviewers extracted the data. The name of the first author and the year of publication were used to identify the study. All data were extracted directly from the text or calculated from the available information when necessary. The data on all trials were based on the intention-to-treat principle, so they compared all patients allocated to one treatment with all those allocated to the other. The primary end point was progression-free survival (PFS). Progression was defined as development of new lesions or “unequivocal progression” of existing lesions, as defined by the original researchers. Secondary end points included objective response rate, overall survival (OS), and adverse events (grade ≥3). Adverse events analyzed were: neutropenia, thrombocytopenia, anemia, febrile neutropenia (hematological); and fatigue, nausea, thromboembolic events, vomiting, rash, left ventricular dysfunction, hand/foot skin reaction, allergic reaction, proteinuria, hypertension, mucositis, neuropathy, headache, bleeding events, and gastrointestinal perforation (nonhematological).

Analysis and presentation of results

The data were analyzed using the Review Manager 5.0.24 statistical package (Cochrane Collaboration, Oxford, UK).25 Dichotomous clinical outcomes are reported as risk ratios (RRs) and survival data as hazard ratios (HRs).26 The corresponding 95% confidence intervals (95% CIs) were calculated, and a significant P-value was considered to be less than 5% (P<0.05). Statistical heterogeneity was calculated through the I2 method (25% was considered low-level heterogeneity, 25%–50% moderate-level heterogeneity, and >50% high-level heterogeneity).27,28 If time-to-event data were not available in the study’s reports, they were then indirectly estimated, using the methods described by Parmar et al.26 A pooled estimate of the HR was computed by a fixed-effect model according to the inverse-variance method.29 Thus, for effectiveness or side effects, an HR or RR greater than 1 favors the standard arm (conventional CT), whereas an HR or RR less than 1 favors the experimental treatment (targeted therapy with CT). If a high level of statistical heterogeneity was found in the meta-analysis, an additional analysis was performed using the random-effects model described by DerSimonian and Laird,30 which provides a more conservative analysis. To assess the possibility of publication bias, the funnel-plot test described by Egger et al was performed.31 When the pooled results were significant, the number of patients needed to treat to benefit one (NNT) was calculated by pooling absolute-risk differences in the trials included in this meta-analysis.32–34 For all analysis, a forest plot was generated to display results.

Results

Figure 1 represents the flow of identification and inclusion of trials, as recommended by the PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analysis) statement.35 In the first search, 215 articles were obtained. Thirty-two studies were selected and retrieved for full-text analysis. Of these studies, 20 were excluded for various reasons, described in Table 1.
Figure 1

Trial-selection flow.

Table 1

Characteristics of the excluded studies

StudyReasons for exclusion
Chia54Metastatic TN subgroup but not randomized
Curigliano et al55Sunitinib versus QT in one arm
Berry et al56Stratified patients only by hormone receptor
Gluz et al57CT in high doses
Rodenhuis et al58CT in high doses
Silver et al59Neoadjuvant TN subgroup and nonrandomized
Bonnefoi et al60Stratified patients only by hormone receptor
Leone et al61Neoadjuvant CT and nonrandomized
Torrisi et al62Neoadjuvant CT and nonrandomized
Ryan et al63Neoadjuvant CT and nonrandomized
Frasci et al64Neoadjuvant CT and nonrandomized
Finn et al65Metastatic TN subgroup and nonrandomized
Wang et al66Metastatic TN subgroup and nonrandomized
Citron et al67Stratified patients only by hormone receptor
Garber et al68Neoadjuvant CT and nonrandomized
Byrski et al69Neoadjuvant CT and nonrandomized
von Minckwitz et al70Stratified patients only by hormone receptor
Carey et al71Cetuximab in both groups
Bhattacharrya et al72Not targeted therapy
Rugo73Not targeted therapy

Abbreviations: TN, triple negative; CT, chemotherapy.

The final analysis included twelve trials comprising 2,048 patients. The targeted therapies studied were Bev, sorafenib (Sor), cetuximab, lapatinib, and PARP inhibitors. Some of the included studies18,36,37 did not report the TNBC subgroup analysis in the original article, and this information was obtained at conference presentations and/or other subsequent publications (Table 2). A quality assessment of the included studies is shown in Table 3. According to the funnel-plot31 analysis, the possibility of publication bias was low for all end points.
Table 2

Characteristics of the randomized studies that evaluated different schemes of chemotherapy only in the advanced TNBC (or “basal like” tumor) subgroup

StudyTreatmentN (TN)Response rateProgression-free survival (months)Overall survivalSource of data for the TNBC analysis
Bevacizumabe ± CT
 Miles et al16/Miller et al17/O’Shaughnessyet al18,38/Robert39,401st line CT232NRE2100: 5.3 vs 10.6 monthsHR =0.49 (0.34–0.70)NRSABC, O’Shaughnessy et al38
CT + Bev163AVADO:Bev7,5: 5.4 vs 6.2 monthsHR 0.69 (0.44–1.08)Bev15: 5.4 vs 8.2 monthsHR 0.53 (0.34–0.84)
279RIBBON-1 (BEV15):Cape: 4.2 vs 6.1 monthsHR: 0.72 (0.49–1.06)AT: 6.2 vs 6.5 monthsHR 0.78 (0.53–1.15)
 Brufsky et al41,422nd line15918%Bev10 or 15:Subgroup analysis, Brufsky et al42
CT41%2.7 months12.6 months
CT + Bev6.0 months17.9 months
HR: 0.494 (0.33–0.74)HR: 0.624 (0.39–1.007)
Sorafenibe ± QT
 Hudis et al36≤2nd line50NR2.6 monthsNRGelmon et al74
CT3.1 months
CT + SorHR: 0.57 (0.30–1.09)
 Baselga et al1,44/Gomezet al45≤2nd line53NR2.5 months16.1 monthsSubgroup analysis1
QT4.3 months17.5 months
QT + SorHR: 0.596 (0.3–1.1)HR: 0.98 (0.5–1.89)
 Gradishar371st line94NR5.5 monthsNRRodler et al75
CT5.6 months
CT + SorHR: 0.856 (0.504–1.454)
Cetuximab ± CT
 O’Shaughnessy et al18≤2nd line725.1 months12.3 monthsO’Shaughnessy et al18
CT30%4.7 months15.5 months
CT + cetuximab49%NSNS
 Baselga et al46≥1st line17310%1.5 months9.4 monthsSABC, Baselga et al46
CT20%3.7 months12.9 months
CT + cetuximabP=0.11HR: 0.67 (0.47–0.97)HR: 0.82 (0.56–1.2)
Lapatinib ± CT
 Finn et al471st line131NR4.8 monthsNRSubgroup analysis, Finn et al47
CT4.6 months
CT + lapatinibHR: 1.25 (0.85–1.83)
PARP inhibitors
 O’Shaughnessy et al19≤2nd line51930%4.1 months11.1 monthsASCO, O’Shaughnessy et al19
CT34%5.1 months11.8 months
CT + iniparibHR: 0.79 (0.646–0.976)HR: 0.87 (0.687–1.116)
 O’Shaughnessy et al48,49≤2nd line12332%3.3 months7.7 monthsO’Shaughnessy et al48
CT52%5.9 months2.3 months
CT + iniparibP=0.02HR: 0.59 (0.39–0.90)HR: 0.57 (0.36–0.9)

Abbreviations: CT, chemotherapy; PARP, poly(ADP-ribose) polymerase; Bev, bevacizumabe; Cape, capecitabina; AT, antracycline and taxane; HR, hazard ratio; SABC, San Antonio Breast Cancer Symposium; ASCO, American Society of Clinical Oncology; TN, triple negative; NS, not significant; BC, breast cancer; NR, not reported.

Table 3

Methodological characteristics and definition of PFS of original trials

ReferenceRandomization describedAllocation concealment adequate?ITTSample size calculation showedMulticentric?Independent/blinded evaluationSponsorDefinition of PFSOBS
Miller et al17YYYYYNMixedTime from randomization to disease progression or death from any cause
Miles et al16YYYYYNMixedTime from randomization to disease progression or death from any cause
Robert et al39,40YYYYYMixedTime from randomization to disease progression or death from any cause
Brufsky et al41,42YYYYYYIndustryTime from randomization to disease progression or death from any cause
Hudis et al36YN/AN/AN/AN/AN/AN/AN/AAbstract data only
Baselga et al1,44Gomez et al45YYYYYNIndustryMeasured from the date of randomization to the date of first documented disease progression
Gradishar37YYYNYYIndustryN/A
Gradishar et al43
O’Shaughnessy et al18YN/AN/AN/AN/AN/AN/AN/AAbstract data only
Baselga et al46YN/AN/AN/AN/AN/AN/AN/AAbstract data only
Finn et al47yYYYYYIndustryTime from random assignment until disease progression or death because of disease under study
O’Shaughnessy et al18,48,49YN/AN/AN/AN/AN/AN/AN/AAbstract data only
O’Shaughnessy et al18,48,49YYNYYNIndustryTime from randomization toconfirmation of disease progression or death

Abbreviations: Y, yes; N, no; N/A, not available; PFS, progression-free survival; ITT, intention to treat; OBS, observation.

Chemotherapy with bevacizumab

Four studies evaluated Bev plus CT versus CT alone: three in first-line16,17,38–40 and one in second-line therapy.41–42 Most of the studies used a dose of Bev of 15 mg/kg every 3 weeks or 10 mg/kg every 2 weeks, depending on the chemotherapy regimen. One three-arm study (AVADO)16 evaluated Bev at two different doses: one group received Bev 7.5 mg/kg and another 15 mg/kg. We used the 15 mg/kg results to perform this meta-analysis. Bev was combined with many different CT regimens (paclitaxel, docetaxel, capecitabine, anthracyclines, gemcitabine, and vinorelbine). The results showed a superior PFS in patients who received Bev plus CT compared to CT alone in previously untreated TNBC (fixed effect, HR =0.62; 95% CI 0.51–0.75; P<0.00001; NNT =2) with no significant heterogeneity (χ2=4.01, degrees of freedom (df)=3; P=0.26; I2=25%) (Figure 2). These studies did not report either the response-rate data or the OS for the TN subgroup.
Figure 2

Comparative effect on progression-free survival of chemotherapy plus bevacizumab versus chemotherapy alone (fixed-effect model analysis).

Abbreviations: SE, standard error; IV, inverse variance; cape, capecetabin; CI, confidence interval; AT, antracycline and taxane; df, degrees of freedom.

In the study that evaluated Bev plus CT in second-line therapy, PFS was also superior in the group that received Bev (HR =0.49, 95% CI 0.33–0.74; P=0.0006).41,42 A non-significant, higher OS was seen for the TNBC patients that received Bev (HR =0.624, 95% CI 0.39–1.007) (Table 2). The proportion of hematologic toxicities was similar between the group that received Bev plus CT compared to the one that received CT alone. Some nonhematologic toxicities reported were more frequent in patients who received Bev plus CT: proteinuria (fixed effect, RR =11.87, 95% CI 3.41–41.32; P=0.0001), hypertension (fixed effect, RR =13.72, 95% CI 6.93–27.15; P<0.00001), neuropathy (fixed effect, RR =1.40, 95% CI 1.09–1.79; P=0.008), and bleeding events (fixed effect, RR =5.81, 95% CI 1.87–18.01; P=0.002). The other nonhematologic toxicities were similar between the groups.

Chemotherapy with sorafenib

One study compared Sor plus CT versus CT in first-line treatment,37,43 and two in second-line treatment.1,36,44,45 In first-line treatment, Sor (400 mg, orally, twice daily) was associated with paclitaxel, and in second-line treatment Sor was associated with gemcitabine or with capecitabine (Table 2). The response rate was not reported for the TNBC subgroup. PFS was superior for the group treated with Sor in second-line therapy (fixed effect, HR =0.58, 95% CI 0.36–0.93; P=0.02; NNT =2). In the pooled overall analysis, PFS remained superior in the group that received Sor versus CT alone (fixed effect, HR =0.69, 95% CI 0.49–0.98; P=0.04), regardless of the treatment line (Figure 3). There was no heterogeneity in this analysis (χ2=1.15, df=2; P=0.56; I2=0%). One study reported the OS data, and there was no difference between the groups.1,44,45
Figure 3

Comparative effect on progression-free survival of chemotherapy plus sorafenib versus chemotherapy alone (fixed-effect model analysis).

Abbreviations: SE, standard error; IV, inverse variance; CI, confidence interval; df, degrees of freedom.

The proportion of hematologic toxicities was similar between the group that received Sor plus CT compared to the one that received CT alone. Hand/foot skin reaction and mucositis were more frequent in patients treated with Sor plus CT (hand/foot skin reaction fixed effect, RR =5.00, 95% CI =3.30–7.58, P<0.00001; mucositis fixed effect, RR =2.79, 95% CI 1.01–7.72, P=0.05). The other nonhematologic toxicities were similar between the groups.

Chemotherapy with cetuximab

Cetuximab plus CT was studied in patients previously treated for metastatic disease in two randomized studies. Cetuximab(400 mg/m2 initial dose followed by 250 mg/m2 weekly) was combined with irinotecan and carboplatin in one study18 and with cisplatin in another study46 (Table 2). The meta-analysis showed a higher response rate for the CT with cetuximab group versus CT alone (fixed effect, RR =0.85, 95% CI 0.74–0.97; P=0.02). There was no heterogeneity in this analysis (χ2=1.11, df=1; P=0.29; I2=10%). Only one study46 reported complete PFS and OS data for cetuximab. In this study, PFS was higher for the group of patients treated with cetuximab plus CT versus CT alone (HR =0.67, 95% CI 0.47–0.97); OS was similar between the groups (HR =0.82, 95% CI 0.56–1.2). The other study18 was presented in a conference and did not report PFS or OS data. We contacted the author about these data, but received no answer. The available conference presentation reported medians and stated that there was no statistically significant difference between the groups in either the median PFS (5.1 months versus 4.7 months) or in the median OS (12.3 months versus 15.5 months). Neutropenia and rash were more frequent in patients who received cetuximab plus CT compared to those that received CT alone (neutropenia fixed effect, RR =1.85, 95% CI 1.36–2.52, P<0.0001; rash fixed effect, RR =16.64, 95% CI 1.02–272.53, P=0.05). The other toxicities were similar between the groups.

Chemotherapy with lapatinib

We found only one study evaluating CT plus lapatinib (1,500 mg orally daily)47 versus conventional CT (paclitaxel) in patients without previous treatment. PFS was similar between the groups (HR =1.25, 95% CI 0.85–1.83).

Chemotherapy with PARP inhibitor (iniparib)

Two studies evaluated CT with PARP inhibitors (iniparib 5.6 mg/kg; intravenous on days 1, 4, 8, and 11 every 21 days) in patients previously treated19,48,49 (Table 2). A pooled analysis of the studies showed a higher response rate favoring the iniparib plus CT group (fixed effect, RR =0.90, 95% CI 0.80–0.10; P=0.05) with significant heterogeneity (χ2=2.94, df=1; P=0.09; I2=66%). As planned, a random-effects model analysis was performed to better explore this heterogeneity: in this analysis, the response rate did not reach a statistically significant level (random effects, RR =0.84, 95% CI 0.64–1.11; P=0.23). PFS was higher in the group that received iniparib plus CT (fixed effect, HR =0.75, 95% CI 0.62–0.90; P=0.002;NNT =3). There was moderate heterogeneity (χ2=1.54, df=1; P=0.21; I2=35%) (Figure 4). A random-effects model analysis was performed, and PFS remained favorable to the CT plus iniparib group (random effects, HR =0.72, 95% CI 0.56–0.94; P=0.02).
Figure 4

Comparative effect on progression-free survival of chemotherapy plus iniparib versus chemotherapy alone (fixed-effect model analysis).

Abbreviations: SE, standard error; IV, inverse variance; CI, confidence interval; df, degrees of freedom; PARP, poly(adenosine diphosphate-ribose) polymerase.

The meta-analysis of OS data favored the group that received iniparib plus CT (fixed effect, HR =0.80, 95% CI 0.65–0.98; P=0.03) but with significant heterogeneity (χ2=2.57, df=1; P=0.11; I2=61%) (Figure 5). The random-effects model analysis for this end point did not reach a significant difference (random effects, HR =0.74, 95% CI 0.49–1.11; P=0.14). Hematologic and nonhematologic toxicities were similar between the groups.
Figure 5

Comparative effect on overall survival of chemotherapy plus iniparib versus chemotherapy alone (fixed-effect model analysis).

Abbreviations: SE, standard error; IV, inverse variance; CI, confidence interval; df, degrees of freedom; PARP, poly(adenosine diphosphate-ribose) polymerase.

Discussion

As a group, patients with TN tumors have a relatively poor outcome and cannot be treated with endocrine therapy or therapies targeted to human epidermal growth factor receptor type 2.50 Indeed, this group remains a poorly studied one: there are only a few studies designed specifically to evaluate the effect of CT in TNBC. This systematic review aimed to evaluate the efficacy of different targeted therapies in TNBC. The results of the meta-analysis showed that these patients might benefit from some of these new therapies: there were significant benefits in PFS associated with Bev, Sor, and iniparib, regardless of the line of treatment; however, cetuximab results are inconclusive so far. A possible effect of targeted therapies on OS could not be drawn from the published literature, as this end point was not consistently reported in most of the original trials for the TNBC population. The only feasible OS meta-analysis was the one derived from the studies that tested iniparib, in which results were heterogeneous and did not reach statistical significance in a random-effects model analysis.30 Historically, clinical studies in the advanced breast cancer setting have used PFS as the primary end point,51 but there is still controversy concerning whether it correlates with OS.52,53 In general, the toxicity reported in the studies was expected and not limiting.16,17,38–40 Bev plus CT was associated with higher rates of proteinuria, hypertension, neuropathy, and bleeding events; hand/foot skin reaction and mucositis were more common in patients who received Sor plus CT; neutropenia and rash were more frequent in patients who received cetuximab plus CT. Despite these encouraging results, many unsolved questions remain regarding targeted therapies combined with CT in TNBC patients. There are still no answers for some important points: which is the most suitable chemotherapy scheme for the association, which are the best molecular-targeted therapies, how to determine the ideal treatment sequence, and the real impact of using targeted therapy combined with CT in overall survival. An important drawback of this study is that most of the data used in the meta-analysis came from subgroups that were not reported in the original publication and were obtained from secondary sources. Also limiting is the lack of important data from many of the included trials. Ideally, new trials should be performed in this specific population, and trials performed with the general breast cancer population should plan and report separately the results for TNBC patients. Studies already published could also make a significant contribution to the understanding of this subject if an analysis was published with data from this subgroup.

Conclusion

Targeted therapy, when associated with conventional CT, demonstrated gain in PFS in patients with TNBC. The results concerning OS are still uncertain.

Core evidence clinical impact summary for targeted therapy in triple-negative metastatic breast cancer

Outcome measureEvidenceImplications
Disease-oriented evidenceIniparib or cetuximab when associated with the conventional chemotherapy, demonstrated gains in the response rate.The overall response rate was higher in patients who received the combination of chemotherapy plus iniparib or cetuximab.
Patient-oriented evidenceBevacizumab, sorafenib and iniparib plus conventional chemotherapy, showed superiority in the progression-free survival of patients with triple-negative breast cancer.A significant benefit was found in the progression-free survival using conventional chemotherapy associated with targeted therapy (bevacizumab, or sorafenib and iniparib).
Economic evidenceNeither a cost effectiveness nor a budgetary impact analysis were performedNeither a cost effectiveness nor a budgetary impact analysis were performed
  49 in total

1.  Using numerical results from systematic reviews in clinical practice.

Authors:  H J McQuay; R A Moore
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Review 2.  Triple-negative breast cancer.

Authors:  William D Foulkes; Ian E Smith; Jorge S Reis-Filho
Journal:  N Engl J Med       Date:  2010-11-11       Impact factor: 91.245

3.  Extracting summary statistics to perform meta-analyses of the published literature for survival endpoints.

Authors:  M K Parmar; V Torri; L Stewart
Journal:  Stat Med       Date:  1998-12-30       Impact factor: 2.373

4.  Doxorubicin with cyclophosphamide followed by docetaxel every 21 days compared with doxorubicin and docetaxel every 14 days as preoperative treatment in operable breast cancer: the GEPARDUO study of the German Breast Group.

Authors:  Gunter von Minckwitz; Günter Raab; Angelika Caputo; Martin Schütte; Jörn Hilfrich; Jens U Blohmer; Bernd Gerber; Serban D Costa; Elisabeth Merkle; Holger Eidtmann; Dieter Lampe; Christian Jackisch; Andreas du Bois; Manfred Kaufmann
Journal:  J Clin Oncol       Date:  2005-04-20       Impact factor: 44.544

Review 5.  Identifying relevant studies for systematic reviews.

Authors:  K Dickersin; R Scherer; C Lefebvre
Journal:  BMJ       Date:  1994-11-12

6.  Effectiveness and safety of bevacizumab for unresectable non-small-cell lung cancer: a meta-analysis.

Authors:  Kun Yang; You-Juan Wang; Xue-Rong Chen; Hai-Ning Chen
Journal:  Clin Drug Investig       Date:  2010       Impact factor: 2.859

7.  Sorafenib in combination with capecitabine: an oral regimen for patients with HER2-negative locally advanced or metastatic breast cancer.

Authors:  José Baselga; José Getúlio Martins Segalla; Henri Roché; Auro Del Giglio; Hélio Pinczowski; Eva M Ciruelos; Sebastião Cabral Filho; Patricia Gómez; Brigitte Van Eyll; Begoña Bermejo; Antonio Llombart; Bernardo Garicochea; Miguel Ángel Climent Durán; Paulo Marcelo Gehm Hoff; Marc Espié; Andre Augusto Junior Gemeinder de Moraes; Ronaldo Albuquerque Ribeiro; Clarissa Mathias; Miguel Gil Gil; Belén Ojeda; Josefa Morales; Sunhee Kwon Ro; Shell Li; Frederico Costa
Journal:  J Clin Oncol       Date:  2012-03-12       Impact factor: 44.544

8.  Estrogen-receptor status and outcomes of modern chemotherapy for patients with node-positive breast cancer.

Authors:  Donald A Berry; Constance Cirrincione; I Craig Henderson; Marc L Citron; Daniel R Budman; Lori J Goldstein; Silvana Martino; Edith A Perez; Hyman B Muss; Larry Norton; Clifford Hudis; Eric P Winer
Journal:  JAMA       Date:  2006-04-12       Impact factor: 56.272

9.  Preoperative weekly cisplatin-epirubicin-paclitaxel with G-CSF support in triple-negative large operable breast cancer.

Authors:  G Frasci; P Comella; M Rinaldo; G Iodice; M Di Bonito; M D'Aiuto; A Petrillo; S Lastoria; C Siani; G Comella; G D'Aiuto
Journal:  Ann Oncol       Date:  2009-02-13       Impact factor: 32.976

Review 10.  Current data of targeted therapies for the treatment of triple-negative advanced breast cancer: empiricism or evidence-based?

Authors:  Fausto Petrelli; Mary Cabiddu; Mara Ghilardi; Sandro Barni
Journal:  Expert Opin Investig Drugs       Date:  2009-10       Impact factor: 6.206

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  15 in total

Review 1.  Treatment for Triple-Negative Breast Cancer: An Umbrella Review of Meta-Analyses.

Authors:  Jianyun Yin; Changtai Zhu; Gaofeng Wang; Jianwei Gu
Journal:  Int J Gen Med       Date:  2022-06-30

Review 2.  Dancing from bottoms up - Roles of the POZ-ZF transcription factor Kaiso in Cancer.

Authors:  Christina C Pierre; Shawn M Hercules; Clayton Yates; Juliet M Daniel
Journal:  Biochim Biophys Acta Rev Cancer       Date:  2018-11-09       Impact factor: 11.414

3.  β-TrCP1 degradation is a novel action mechanism of PI3K/mTOR inhibitors in triple-negative breast cancer cells.

Authors:  Yong Weon Yi; Hyo Jin Kang; Edward Jeong Bae; Seunghoon Oh; Yeon-Sun Seong; Insoo Bae
Journal:  Exp Mol Med       Date:  2015-02-27       Impact factor: 8.718

Review 4.  Apatinib for molecular targeted therapy in tumor.

Authors:  Haijun Zhang
Journal:  Drug Des Devel Ther       Date:  2015-11-13       Impact factor: 4.162

5.  A network meta-analysis on the efficacy of targeted agents in combination with chemotherapy for treatment of advanced/metastatic triple-negative breast cancer.

Authors:  Long Ge; Yan Tang; Qiu-Ning Zhang; Jin-Hui Tian; Xiao-Hu Wang; Dawid Pieper; Bei Pan; Lun Li; Juan Ling; Zhi-Tong Bing; Ke-Hu Yang
Journal:  Oncotarget       Date:  2017-07-08

6.  Dexamethasone induces docetaxel and cisplatin resistance partially through up-regulating Krüppel-like factor 5 in triple-negative breast cancer.

Authors:  Zhen Li; Jian Dong; Tianning Zou; Chengzhi Du; Siyuan Li; Ceshi Chen; Rong Liu; Kunhua Wang
Journal:  Oncotarget       Date:  2017-02-14

7.  Chemotherapy of metastatic triple negative breast cancer: Experience of using platinum-based chemotherapy.

Authors:  Jian Zhang; Minhao Fan; Jie Xie; Zhonghua Wang; Biyun Wang; Sheng Zhang; Leiping Wang; Jun Cao; Zhonghua Tao; Ting Li; Xichun Hu
Journal:  Oncotarget       Date:  2015-12-15

8.  Phase II/III weekly nab-paclitaxel plus gemcitabine or carboplatin versus gemcitabine/carboplatin as first-line treatment of patients with metastatic triple-negative breast cancer (the tnAcity study): study protocol for a randomized controlled trial.

Authors:  Denise A Yardley; Adam Brufsky; Robert E Coleman; Pierfranco F Conte; Javier Cortes; Stefan Glück; Jean-Mark A Nabholtz; Joyce O'Shaughnessy; Robert M Beck; Amy Ko; Markus F Renschler; Debora Barton; Nadia Harbeck
Journal:  Trials       Date:  2015-12-16       Impact factor: 2.279

9.  Lobaplatin-based regimens outperform cisplatin for metastatic breast cancer after anthracyclines and taxanes treatment.

Authors:  Zhipeng Wang; Lei Xu; Han Wang; Zhenzhi Li; Lu Lu; Xiaojia Li; Qingyuan Zhang
Journal:  Saudi J Biol Sci       Date:  2018-01-31       Impact factor: 4.219

10.  GROα overexpression drives cell migration and invasion in triple negative breast cancer cells.

Authors:  Kruttika Bhat; Marianna Sarkissyan; Yanyuan Wu; Jaydutt V Vadgama
Journal:  Oncol Rep       Date:  2017-05-24       Impact factor: 4.136

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