| Literature DB >> 30259696 |
Yu-Chen Huang1, Shih-Min Shen1, Chien-Ying Liu1, Stelios Pavlidis2, Chih-Liang Wang1, How-Wen Ko1, Fu-Tsai Chung1, Tin-Yu Lin1, Po-Hao Feng3, Kang-Yun Lee3, Yi-Ke Guo2, Cheng-Ta Yang1, Chih-Hsi Scott Kuo1,2.
Abstract
BACKGROUND: VEGF plays a key role in tumor angiogenesis and immunosuppression. VEGF-blocking has proven beneficial for EGFR mutant and wild-type nonsquamous non-small cell lung cancer (nonsq-NSCLC); however, the number of cycles and treatment line yielding the optimal benefit are unknown.Entities:
Keywords: Bevacizumab; EGFR; NSCLC; VEGF
Mesh:
Substances:
Year: 2018 PMID: 30259696 PMCID: PMC6275835 DOI: 10.1111/1759-7714.12875
Source DB: PubMed Journal: Thorac Cancer ISSN: 1759-7706 Impact factor: 3.500
Figure 1(a) Flow chart of the study population. (b) Kaplan–Meier curve with 95% confidence interval (red shade) of the overall survival of the study population. NSCLC, non‐small cell lung cancer.
Clinical characteristics of study subjects
| Variable, N (%) | Overall population ( |
|---|---|
| Age, median (range), year | 58 (26–82) |
| Gender (male) | 53 (46.0) |
| Smoker/ex‐smoker | 29 (25.2) |
| ECOG PS | |
| 0, 1 | 84 (73.0) |
| ≥ 2 | 31 (27.0) |
| Staging | |
| III | 11 (9.6) |
| IV | 104 (90.4) |
|
| |
| Mutation | 67 (58.3) |
| Wild type | 36 (31.3) |
| Unknown | 12 (10.4) |
| Regimen combination | |
| Chemotherapy | 86 (74.8) |
| EGFR‐TKI | 29 (25.2) |
| Comorbidity | |
| Chronic liver disease | 9 (7.8) |
| Chronic kidney disease | 4 (3.5) |
| Adverse effects | |
| Proteinuria | 4 (3.4) |
| Hypertension | 23 (20.0) |
| Bleeding | 11 (9.6) |
| Venous thrombosis | 3 (2.6) |
| Treatment response | |
| Partial response | 42 (36.5) |
| Stable disease | 20 (17.3) |
| Progression disease | 53 (46.0) |
Grade 3.
ECOG PS, Eastern Cooperative Oncology Group performance status; TKI, tyrosine kinase inhibitor.
Clinical characteristics of the patients stratified by the number of treatment cycles and the line of bevacizumab
| Variables, N (%) | Treatment cycle | Treatment line | ||||
|---|---|---|---|---|---|---|
| ≥ 5 cycles ( | 1–4 cycles ( |
| First‐line ( | Second or later line ( |
| |
| Age, median (range), year | 55 (46–61) | 59 (52–69) | 0.043 | 57 (49–64) | 59 (51–65) | 0.914 |
| Gender (male) | 19 (43.1) | 34 (47.9) | 0.765 | 28 (59.6) | 25 (36.8) | 0.026 |
| Smoker/ex‐smoker | 11 (25.0) | 18 (25.4) | 0.858 | 16 (34.0) | 13 (19.1) | 0.111 |
| ECOG PS | ||||||
| 0, 1 | 41 (93.2) | 43 (60.6) | < 0.001 | 41 (87.2) | 43 (63.2) | 0.008 |
| ≥ 2 | 3 (6.8) | 28 (39.4) | 6 (12.8) | 25 (36.8) | ||
| Staging | ||||||
| III | 4 (8.7) | 7 (9.9) | 0.909 | 6 (12.8) | 5 (7.4) | 0.517 |
| IV | 42 (91.3) | 64 (90.1) | 41 (87.2) | 63 (92.3) | ||
|
| ||||||
| Mutation | 21 (47.7) | 46 (64.7) | 0.096 | 21 (44.7) | 46 (67.6) | 0.003 |
| Wild type | 19 (43.2) | 17 (23.9) | 23 (48.9) | 13 (19.1) | ||
| Unknown | 4 (9.0) | 8 (11.2) | 3 (6.4) | 9 (13.2) | ||
| Regimen of combination | ||||||
| Chemotherapy | 35 (79.5) | 51 (71.8) | 0.481 | 35 (74.5) | 51 (75.0) | 0.878 |
| EGFR‐TKI | 9 (20.5) | 20 (21.2) | 12 (25.5) | 17 (25.0) | ||
| Comorbidity | ||||||
| Chronic liver disease | 3 (6.8) | 6 (8.5) | 1.000 | 2 (4.3) | 7 (10.3) | 0.405 |
| Chronic kidney disease | 2 (4.5) | 2 (2.8) | 1.000 | 1 (2.1) | 3 (4.4) | 0.889 |
| Adverse effects | ||||||
| Proteinuria | 1 (2.2) | 3 (4.2) | 0.133 | 2 (4.3) | 2 (2.9) | 0.153 |
| Hypertension | 9 (20.5) | 14 (19.7) | 9 (19.1) | 14 (20.6) | ||
| Bleeding (Grade 3) | 2 (4.5) | 9 (12.7) | 2 (4.3) | 9 (13.2) | ||
| Venous thrombosis | 3 (6.8) | 0 | 3 (6.3) | 0 | ||
| Treatment response | ||||||
| Partial response | 26 (59.1) | 16 (22.5) | < 0.001 | 23 (48.9) | 19 (27.9) | 0.004 |
| Stable disease | 12 (27.3) | 8 (11.3) | 11 (23.4) | 9 (13.2) | ||
| Progressive disease | 6 (13.6) | 47 (66.2) | 13 (27.7) | 40 (58.8) | ||
Grade 3.
ECOG PS, Eastern Cooperative Oncology Group performance status; TKI, tyrosine kinase inhibitor.
Cox regression analysis of overall survival
| Variables | Univariate | Multivariate | ||
|---|---|---|---|---|
| HR (95% CI) |
| HR (95% CI) |
| |
| Age | 1.02 (0.99–1.03) | 0.502 | — | — |
| Gender (Male) | 1.20 (0.75–1.93) | 0.453 | — | — |
| Smoker | 0.94 (0.53–1.68) | 0.833 | — | — |
| Brain metastasis | 1.62 (0.98–2.67) | 0.058 | 1.58 (0.89–2.81) | 0.117 |
| ECOG PS ≥ 2 | 4.09 (2.49–6.71) | < 0.001 | 3.95 (2.22–7.01) | < 0.001 |
| Wild‐type | 1.64 (0.95–2.83) | 0.075 | 2.96 (1.61–5.44) | 0.001 |
| First‐line use of bevacizumab | 1.16 (0.70–1.92) | 0.575 | — | — |
| Cycles of bevacizumab ≥ 5 | 0.96 (0.53–1.71) | 0.883 | — | — |
| Bleeding event | 2.38 (1.43–3.98) | 0.001 | 2.27 (1.25–4.11) | 0.007 |
CI, confidence interval; HR, hazard ratio.
Figure 2Forest plot of treatment to subgroup analysis. (a) Number of bevacizumab treatment cycles: ≥ 5 versus 1–4 cycles. (b) First‐line versus second or later lines of bevacizumab. CI, confidence interval; ECOG PS, Eastern Cooperative Oncology Group performance status; HR, hazard ratio; NSCLC, non‐small cell lung cancer.
Figure 3Kaplan–Meier curve analysis of EGFR status (column side) to bevacizumab treatment (row side). *P value of Cox‐regression model; # P value of log‐rank test. (a,b) Number of treatment cycles: () 1–4, () ≥ 5. (c,d) Treatment line: () second or later line, () first‐line.