| Literature DB >> 23617638 |
Olfa Derbel1, Qing Wang, Françoise Desseigne, Michel Rivoire, Pierre Meeus, Patrice Peyrat, Mattia Stella, Isabelle Martel-Lafay, Anne-Isabelle Lemaistre, Christelle de La Fouchardière.
Abstract
BACKGROUND: Conventional treatment for locally advanced rectal cancer usually combines neoadjuvant radiochemotherapy and surgery. Until recently, there have been limited predictive factors (clinical or biological) for rectal tumor response to conventional treatment. KRAS, BRAF and PIK3CA mutations are commonly found in colon cancers. In this study, we aimed to determine the mutation frequencies of KRAS, BRAF and PIK3CA and to establish whether such mutations may be used as prognostic and/or predictive factors in rectal cancer patients.Entities:
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Year: 2013 PMID: 23617638 PMCID: PMC3640970 DOI: 10.1186/1471-2407-13-200
Source DB: PubMed Journal: BMC Cancer ISSN: 1471-2407 Impact factor: 4.430
Clinical and molecular characteristics of 98 patients with rectal carcinoma
| Sex | |
| Male | 50 (51) |
| Female | 48 (49) |
| Age. y median | 68 (35–88) |
| Distance to anal verge. cm | |
| ≥10 | 25 (25.5) |
| 5≤ <10 | 26 (26.5) |
| <5 | 40 (41.8) |
| Not avaibale | 7 (7.2) |
| Type of resection | |
| Low anterior | 8 (8.1) |
| Abdominoperineal | 90 (91.9) |
| CRM | |
| Negative | 88 (89.8) |
| Positive | 3 (3.1) |
| Not avaiballe | 7 (7.1) |
| Differentiation | |
| Well | 15 (15.1) |
| Moderate | 51 (52.1) |
| Poor | 10 (10.3) |
| Not avaibale | 22 (22.5) |
| TNM stage | |
| I | 6 (6.1) |
| II | 86 (87.8) |
| II | 6 (6.1) |
| KRAS mutation | |
| Yes | 23(23.5%) |
| No | 75 (76.5) |
| BRAF mutation | |
| Yes | 2 (2%) |
| No | 96 (98%) |
| PIK3CA mutation | |
| Yes | 4 (4%) |
| No | 94 (96%) |
| Local recurrence | |
| Negative | 90 (91.8) |
| Positive | 8 (8.2) |
| Distant metastasis | |
| Negative | 81 (82.6) |
| Positive | 17 (17.4) |
Figure 1The distribution of mutations is illustrated in a pie chart.
Mutational status and local recurrence
| No | 67 | (74.4%) | 8 | (100.0%) | 75 | (76.5%) |
| yes | 23 | (25.6%) | 0 | (0.0%) | 23 | (23.5%) |
| No | 89 | (98.9%) | 7 | (87.5%) | 96 | (98.0%) |
| yes | 1 | (1.1%) | 1 | (12.5%) | 2 | (2.0%) |
| No | 86 | (95.6%) | 8 | (100.0%) | 94 | (95.9%) |
| yes | 4 | (4.4%) | 0 | (0.0%) | 4 | (4.1%) |
| At least one mutation | ||||||
| No | 65 | (72.2%) | 7 | (87.5%) | 72 | (73.5%) |
| yes | 25 | (27.8%) | 1 | (12.5%) | 26 | (26.5%) |
| Nb of mutations | ||||||
| 0 | 65 | (72.2%) | 7 | (87.5%) | 72 | (73.5%) |
| 1 | 22 | (24.4%) | 1 | (12.5%) | 23 | (23.5%) |
| 2 | 3 | (3.3%) | 0 | (0.0%) | 3 | (3.1%) |
Mutational status and metastatic recurrence
| Non | 63 | (77.8%) | 12 | (70.6%) | 75 | (76.5%) | |
| Yes | 18 | (22.2%) | 5 | (29.4%) | 23 | (23.5%) | |
| | | | | | | Fisher Exact P = 0.318 | |
| Non | 80 | (98.8%) | 16 | (94.1%) | 96 | (98.0%) | |
| Yes | 1 | (1.2%) | 1 | (5.9%) | 2 | (2.0%) | |
| | | | | | | Fisher Exact P = 0.539 | |
| Non | 78 | (96.3%) | 16 | (94.1%) | 94 | (95.9%) | |
| Yes | 3 | (3.7%) | 1 | (5.9%) | 4 | (4.1%) | |
| | | | | | | | |
| At least one mutation | | | | | | | Fisher Exact P = 0.377 |
| No | 61 | (75.3%) | 11 | (64.7%) | 72 | (73.5%) | |
| Yes | 20 | (24.7%) | 6 | (35.3%) | 26 | (26.5%) | |
| Nb of mutations | | | | | | | Fisher Exact P = 0.462 |
| 0 | 61 | (75.3%) | 11 | (64.7%) | 72 | (73.5%) | |
| 1 | 18 | (22.2%) | 5 | (29.4%) | 23 | (23.5%) | |
| 2 | 2 | (2.5%) | 1 | (5.9%) | 3 | (3.1%) | |