Title |
KRAS and Combined KRAS/TP53 Mutations in Locally Advanced Rectal Cancer are Independently Associated with Decreased Response to Neoadjuvant Therapy
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Published in |
Annals of Surgical Oncology, March 2016
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DOI | 10.1245/s10434-016-5205-4 |
Pubmed ID | |
Authors |
Oliver S. Chow, Deborah Kuk, Metin Keskin, J. Joshua Smith, Niedzica Camacho, Raphael Pelossof, Chin-Tung Chen, Zhenbin Chen, Karin Avila, Martin R. Weiser, Michael F. Berger, Sujata Patil, Emily Bergsland, Julio Garcia-Aguilar |
Abstract |
The response of rectal cancers to neoadjuvant chemoradiation (CRT) is variable, but tools to predict response remain lacking. We evaluated whether KRAS and TP53 mutations are associated with pathologic complete response (pCR) and lymph node metastasis after adjusting for neoadjuvant regimen. Retrospective analysis of 229 pretreatment biopsies from patients with stage II/III rectal cancer was performed. All patients received CRT. Patients received 0-8 cycles of FOLFOX either before or after CRT, but prior to surgical excision. A subset was analyzed to assess concordance between mutation calls by Sanger Sequencing and a next-generation assay. A total of 96 tumors (42 %) had KRAS mutation, 150 had TP53 mutation (66 %), and 59 (26 %) had both. Following neoadjuvant therapy, 59 patients (26 %) achieved pCR. Of 133 KRAS wild-type tumors, 45 (34 %) had pCR, compared with 14 of 96 (15 %) KRAS mutant tumors (p = .001). KRAS mutation remained independently associated with a lower pCR rate on multivariable analysis after adjusting for clinical stage, CRT-to-surgery interval and cycles of FOLFOX (OR 0.34; 95 % CI 0.17-0.66, p < .01). Of 29 patients with KRAS G12V or G13D, only 2 (7 %) achieved pCR. Tumors with both KRAS and TP53 mutation were associated with lymph node metastasis. The concordance between platforms was high for KRAS (40 of 43, 93 %). KRAS mutation is independently associated with a lower pCR rate in locally advanced rectal cancer after adjusting for variations in neoadjuvant regimen. Genomic data can potentially be used to select patients for "watch and wait" strategies. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Scientists | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United States | 1 | 2% |
Germany | 1 | 2% |
Unknown | 57 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 12 | 20% |
Student > Ph. D. Student | 10 | 17% |
Student > Bachelor | 5 | 8% |
Other | 5 | 8% |
Student > Doctoral Student | 4 | 7% |
Other | 10 | 17% |
Unknown | 13 | 22% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 27 | 46% |
Biochemistry, Genetics and Molecular Biology | 5 | 8% |
Agricultural and Biological Sciences | 5 | 8% |
Neuroscience | 2 | 3% |
Immunology and Microbiology | 1 | 2% |
Other | 3 | 5% |
Unknown | 16 | 27% |