| Literature DB >> 23056577 |
Gholamreza Safaee Ardekani1, Seyed Mehdi Jafarnejad, Larry Tan, Ardavan Saeedi, Gang Li.
Abstract
BACKGROUND: Mutation of BRAF is a predominant event in cancers with poor prognosis such as melanoma and colorectal cancer. BRAF mutation leads to a constitutive activation of mitogen activated protein kinase pathway which is essential for cell proliferation and tumor progression. Despite tremendous efforts made to target BRAF for cancer treatment, the correlation between BRAF mutation and patient survival is still a matter of controversy. METHODS/PRINCIPALEntities:
Mesh:
Substances:
Year: 2012 PMID: 23056577 PMCID: PMC3467229 DOI: 10.1371/journal.pone.0047054
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Figure 1Flow diagram demonstrates the study selection process.
Summary of studies that evaluated the impact of BRAF mutation on overall patient survival in colorectal cancer and melanoma.
| Country | Studydesign | Number of patients | Overall survival | Hazard ratio | |||||
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| France | Cohort | 582 | 582 | 506 | 76(13.1%) | 1.2(0.55–2.61) | ||
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| Belgium | Cohort | 886 | 761 | 725 | 36(4.7%) | 26 | 54 | 2.93(1.85–4.65) |
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| Netherland | Cohort | 258 | 203 | 165 | 38(18.7) | 2.22(0.87–3.57) | ||
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| Italy | Cohort | 93 | 79 | 72 | 7(8.9%) | 3.37 | ||
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| USA | Cohort | 533 | 490 | 413 | 77(15.7%) | 71 | 68 | 1.2(0.8–1.8) |
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| France | Cohort | 173 | 115 | 110 | 5(4.3%) | 14.4 | 17.9 | |
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| China | Cohort | 61 | 61 | 58 | 3(4.9%) | 9 | 11 | 2.016(0.61–6.58) |
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| Taiwan | Cohort | 314 | 314 | 302 | 12(3.8%) | 3.91(1.31–11.66) | ||
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| Italy | Cohort | 138 | 87 | 74 | 13(14.9%) | 4.1 | 13.1 | 1.96(0.48–3.44) |
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| Spain | Cohort | 351 | 324 | 312 | 12(3.7%) | 41 | 68 | 1.62(0.50–5.21) |
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| UK | RCT | 1630 | 1291 | 1189 | 102(7.9%) | 8.8 | 14.4 | |
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| USA | Cohort | 649 | 631 | 526 | 105(16.6%) | 1.97(1.13–3.42) | ||
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| Korea | Cohort | 75 | 71 | 66 | 5(7%) | 2.46 | 7.53 | 3.06 |
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| Australia | Cohort | 471 | 315 | 282 | 33(10.5%) | 8.6 | 20.8 | 2.04(1.20–2.87) |
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| UK | RCT | 2135 | 692 | 638 | 54(7.8%) | 1.82(1.36–2.43) | ||
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| Switzerland | RCT | 1404 | 1307 | 1204 | 103(7.9%) | 1.59(0.65–3.91) | ||
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| USA | Cohort | 763 | 763 | 723 | 40(5.2%) | 4.23(1.65–10.84) | ||
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| Greece | Cohort | 112 | 112 | 104 | 8(7.1%) | 4.3 | 15.1 | 3.6(1.7–7.5) |
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| USA | Cohort | 194 | 165 | 129 | 36(21.8%) | 1.95(1.18–3.20) | ||
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| Greece/USA | Cohort | 168 | 168 | 155 | 13(7.7%) | 10.9 | 40.5 | 4.5(2.4–8.4) |
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| Australia | Cohort | 525 | 525 | 473 | 52(9.9%) | 2.8 | 13.5 | 2.48(1.31–4.72) |
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| Netherland | RCT | 559 | 518 | 473 | 45(8.7%) | 12.9 | 24.5 | 3.2 |
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| Australia/USA | Cohort | 524 | 524 | 467 | 57(10.9%) | 10.4 | 34.7 | 11.11(6.27–19.17) |
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| Belgium | RCT | 999 | 625 | 566 | 59(9.4%) | 14.1 | 25.1 | 1.1(0.42–1.78) |
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| Japan | Cohort | 319 | 229 | 214 | 15(6.5%) | 11 | 40.6 | 4.23(1.76–10.2) |
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| Switzerland | Cohort | 404 | 242 | 223 | 19(7.9%) | 0.53(0.3–1.2) | ||
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| Switzerland | Cohort | 404 | 127 | 102 | 25 (19.7%) | 2.82(1.5–5.5) | ||
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| Finland | Cohort | 38 | 38 | 12 | 26 (68.4%) | 2.16(1.02–4.59) | ||
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| Australia | Cohort | 197 | 197 | 102 | 95 (48.2%) | 11.1 | 46.1 | |
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| China | Cohort | 432 | 395 | 297 | 98 (24.8%) | 33 | 53 | 1.54(1.11–2.12) |
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| Switzerland | RCT | 62 | 44 | 22 | 22 (50.0%) | 9.2 | 12 | |
Figure 2Random effect model of Log hazard ratio (LogHR) with 95% confidence interval for studies comparing the effect of BRAF-V600E mutation on overall survival of colorectal cancer patients.
A LogHR <0 implies a survival benefit for patients with BRAF mutation. The square size indicates the power of each study in meta-analysis based on the number of patients in that study. The center of diamond shape at the lowest part indicates the combined LogHR for meta-analysis and its extremities the 95% confidence interval.
Figure 3Random effect model of Log hazard ratio (LogHR) with 95% confidence interval for studies comparing the effect of BRAF-V600E mutation on overall survival in melanoma patients.
A LogHR <0 implies a survival benefit for patients with BRAF mutation. The square size indicates the power of each study in meta-analysis based on the number of patients in that study. The center of diamond shape at the lowest part indicates the combined LogHR for meta-analysis and its extremities the 95% confidence interval.
Summary of studies that reported the status of BRAF mutation in papillary thyroid carcinoma with information on patient survival.
| Number of patients | Overall survival | Hazard ratio | Progression free survival | Hazard ratio | ||||||
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| 536 | 296 | 143 | 153 (51.7%) | Poor | |||||
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| 49 | 49 | 22 | 27 (55%) | No diff.Poor, when combined with other markers | |||||
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| 102 | 102 | 64 | 38 (37.3%) | Sig. Lower | OR 14.63 (1.28–167.29) | ||||
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| 631 | 631 | 389 | 242 (38.4%) | DFSNo diff. | |||||
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| 290 | 290 | 168 | 122 (42%) | No diff. | 1.04 | ||||
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| 120 | 62 | 57 (48%) | No data on survival | ||||||
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| 104 | 101 | 41 | 60 (59%) | 80% | 75% | ||||
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| 266 | 182 | 84 (31.6%) | DFS.No diff. | 1.15(0.42–3.19) | |||||
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| 891177714 | 20867 (SBiPTC)141 (UiPTC) | 932370 | 115(55.3%)44 (65.7%)71 (50.4%) | SBiPTC with more | |||||
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| 219 | 112 | 107 (48.9%) | Recurrence free probability | ||||||
DFS, Disease free survival; OR, Odds Ratio; SBiPTC, Synchronous bilateral papillary thyroid carcinoma; UiPTC, Unilateral papillary thyroid carcinoma.