| Literature DB >> 29854794 |
Nakano Takayuki1, Tanimura Keiko1, Uchino Junji1, Kaneko Yoshiko1, Tamiya Nobuyo1, Yamada Tadaaki1, Takayama Koichi1.
Abstract
Lung cancer has the highest mortality rate among all cancers in most developed countries. The number of elderly patients with lung cancer has been increasing, reflecting the global increase in aging population. Therefore, standard chemotherapeutic regimens for elderly patients with lung cancer need to be established. However, the effectiveness of chemotherapy in elderly patients with advanced non-small-cell lung cancer remains controversial because they are often excluded from clinical trials. Some clinical trials have shown that the therapeutic benefit of a third-generation anticancer drug alone was superior to best supportive care. In contrast, platinum-doublet was superior only in terms of overall survival and progression-free survival, and other trials reported an increased rate of treatment-related death in the elderly patients. In recent years, some novel treatment modalities for lung cancer have been developed and shown to significantly improve the therapeutic outcomes, including targeted therapy for lung cancer harboring driver mutation, combination therapy of angiogenesis inhibitor and cytotoxic agents, and immune checkpoint inhibitor. Although several clinical trials with these agents have shown favorable outcome regardless of age, their safety in the elderly patients has not been established. Herein, we discuss the current clinical status and future prospects in elderly patients with lung cancer.Entities:
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Year: 2018 PMID: 29854794 PMCID: PMC5952496 DOI: 10.1155/2018/8202971
Source DB: PubMed Journal: Biomed Res Int Impact factor: 3.411
Clinical trials of cytocidal anticancer drugs for elderly patients with NSCLC.
| Study, author |
| Treatment | RR (%) | OS (month) | PFS (month) | Neutropenia |
|---|---|---|---|---|---|---|
|
| ||||||
| ELVIS [ | 78 | VNR | 19.7 | 6.5 | NR | NR |
| 96 | BSC | - | 4.9 | - | - | |
| MILES [ | 232 | VNR + GEM | 21 | 7.6 | 4.8 | 18 |
| 233 | VNR | 18 | 8.8 | 4.5 | 25 | |
| 233 | GEM | 16 | 6.6 | 4.3 | 8 | |
| WJTOG9904 [ | 88 | DTX | 22.7 | 14.3 | 5.5 | 82.9 |
| 91 | VNR | 9.9 | 9.9 | 3.1 | 69.3 | |
| IFCT-0501 [ | 225 | CBDCA + PTX | 27.1 | 10.3 | 6 | 48.4 |
| 226 | VNR or GEM | 10.2 | 6.2 | 2.8 | 12.4 | |
| MILES-3/MILES-4 [ | 263 | CDDP + GEM or PEM | 15.5 | 9.6 | 4.6 | Significantly higher and more sever in CDDP group. |
| 268 | GEM or PEM | 8.5 | 7.5 | 3 | ||
| JCOG0803 [ | 139 | CDDP + DTX | 34.4 | 14.8 | 4.7 | 10.1 |
| 137 | DTX | 24.6 | 13.3 | 4.4 | 88.8 | |
| JCOG0207 [ | 63 | CDDP + DTX | 55 | 17 | 6.2 | 14.3 |
| 63 | DTX | 26.2 | 10.7 | 3.7 | 4.8 | |
|
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| Socinski et al. [ | 73 | nab-PTX + CBDCA | 34 | 8 | 19.9 | 55 |
| 81 | PTX + CBDCA | 24 | 6.8 | 10.4 | 73 | |
| PARAMOUNT [ | 52 | PEM | 42 | 13.7 | 6.4 | 17 |
| 40 | Placebo | 43 | 12.1 | 3 | - |
RR = response rate, OS = overall survival, PFS = progression free survival, NR = not reported, VNR = vinorelbine, BSC = best supportive care, GEM = gemcitabine, DTX = docetaxel, PTX = paclitaxel, CDDP = cisplatin, CBDCA = carboplatine, nab-PTX = nanoparticle albumin-bound paclitaxel, and PEM = pemetrexed.
Subset analysis of elderly population in clinical trials of EGFR-TKIs or ALK inhibitors for NSCLC.
| Study | Treatment | Age |
| HR for OS (95% CI) | HR for PFS (95% CI) |
|---|---|---|---|---|---|
|
| |||||
| IPASS [ | Gefitinib | ≥65 | NR | NR | 0.58 (0.45–0.76) |
| <65 | NR | NR | 0.81 (0.70–0.95) | ||
| OPTIMAL [ | Erlotinib | ≥65 | 38 | NR | 0.17 (0.07–0.43) |
| <65 | 116 | NR | 0.19 (0.11–0.31) | ||
| EUROTAC [ | Erlotinib | ≥65 | 88 | NR | 0.28 (0.16–0.51) |
| <65 | 85 | NR | 0.44 (0.25–0.75) | ||
| LUX-Lung 3 [ | Afatinib | ≥65 | 134 | 0.73 (0.43–1.21) | 0.64 (0.39–1.03) |
| <65 | 211 | 0.82 (0.57–1.19) | 0.53 (0.36–0.76) | ||
| LUX-Lung 6 [ | Afatinib | ≥65 | 86 | 0.60 (0.33–1.10) | 0.16 (0.07–0.40) |
| <65 | 278 | 0.87 (0.64–1.20) | 0.30 (0.21–0.43) | ||
| ARCHER1050 [ | Dacomitinib | ≥65 | 94 | NR | 0.69 (0.48–0.99) |
| <65 | 133 | NR | 0.51 (0.39–0.69) | ||
| AURA3 [ | Osimertinib | ≥65 | 177 | NR | 0.34 (0.23–0.50) |
| <65 | 242 | NR | 0.38 (0.28–0.54) | ||
|
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| PROFILE1014 [ | Crizotinib | ≥65 | 55 | NR | 0.90 (0.43–1.87) |
| <65 | 288 | NR | 0.45 (0.29–0.70) | ||
| ALEX [ | Alectinib | ≥65 | 70 | NR | 0.45 (0.24–0.87) |
| <65 | 233 | NR | 0.48 (0.34–0.70) | ||
| J-ALEX [ | Alectinib | ≥75 | 22 | NR | 0.28 (0.06–1.19) |
| <75 | 285 | NR | 0.34 (0.21–0.56) |
HR = hazard ratio, OS = overall survival, PFS = progression free survival, and NR = not reported.
Subset analysis of elderly population in clinical trials of angiogenesis inhibitors for NSCLC.
| Study | Age |
| Treatment | OS (month) | HR for OS (95% CI) | PFS (month) | HR for PFS (95% CI) |
|---|---|---|---|---|---|---|---|
| AVAiL [ | ≥65 | 103 | CG + BEV (15 mg/kg) | NR | 0.88 | NR | 0.84 |
| <65 | 248 | CG + BEV (15 mg/kg) | NR | 1.09 | NR | 0.85 | |
| ECOG4599, PointBreak [ | ≥75 | 114 | BEV + CP | 9.6 | 1.10 (0.74–1.60) | 5.6 | 0.95 (0.62–1.44) |
| <75 | 787 | BEV + CP | 13.4 | 0.76 (0.66–0.87) | 6.1 | 0.69 (0.60–79) | |
| SAiL [ | >65 | 623 | Chemotherapy + BEV | 14.6 | NR | 8.2 | NR |
| ≤65 | 1589 | Chemotherapy + BEV | 14.6 | NR | 7.6 | NR | |
| ARIES [ | ≥65 | 1013 | Chemotherapy + BEV | 12.1 | 1.17 (1.06–1.28) | 6.8 | 1.01 (0.92–1.10) |
| <65 | 954 | Chemotherapy + BEV | 14.2 | 1 | 6.4 | 1 | |
| REVEL [ | ≥70 | 127 | RAM + DTX | NR | 1.07 (0.80–1.43) | NR | 0.94 (0.73–1.22) |
| <70 | 591 | RAM + DTX | NR | 0.81 (0.70–0.94) | NR | 0.73 (0.64–0.83) |
RR = response rate, OS = overall survival, PFS = progression free survival, HR = hazard ratio, NR = not reported, CG = carboplatin/gemcitabine, BEV = bevacizumab, CP = carboplatin/paclitaxel, DTX = docetaxel, and RAM = ramucirumab.
Subset analysis of elderly population in clinical trials of immune checkpoint inhibitors for NSCLC.
| Study | Age |
| HR for OS (95% CI) | HR for PFS (95% CI) |
|---|---|---|---|---|
|
| ||||
| CheckMate017 [ | ≥75 | 29 | 1.85 (0.76–4.51) | 1.76 (0.77–4.05) |
| 65–74 | 91 | 0.56 (0.34–0.91) | 0.51 (0.32–0.82) | |
| <65 | 152 | 0.52 (0.35–0.75) | 0.62 (0.44–0.89) | |
| CheckMate057 [ | ≥75 | 43 | 0.97 (0.49–1.95) | 0.90 (0.43–1.87) |
| 65–74 | 200 | 0.94 (0.69–1.27) | 0.63 (0.45–0.89) | |
| <65 | 339 | 0.89 (0.70–1.13) | 0.81 (0.62–1.04) | |
|
| ||||
| KEYNOTE024 [ | ≥65 | 164 | NR | 0.90 (0.43–1.87) |
| <65 | 141 | NR | 0.45 (0.29–0.70) | |
| KEYNOTE010 [ | ≥65 | 429 | 0.76 (0.57–1.02) | NR |
| <65 | 604 | 0.63 (0.50–0.79) | NR |
RR = response rate, OS = overall survival, PFS = progression free survival, and NR = not reported.