Abstract:
Background: CRC caused more than 600,000 estimated deaths in 2008. Dysregulated signaling through the RAS/RAF/mitogen-activated protein kinase (MEK)/extracellular signal-regulated kinase (ERK) signaling pathway due to mutations in K-Ras and B-Raf are common events in CRC. Methods: Incidence of mutations in codons 12 and 13 of K-Ras and exons 11 and 15 of B-Raf were analyzed in amplified PCR products from primary tumors of 273 patients with CRC, and their prognostic and predictive significance was assessed. The prognostic role of clinical and pathological factors was also examined. Results: K-Ras mutations were present in 89 patients (32.6%), of whom 76 (85.4%) had mutations in codon 12 and 10 (11.2%) had mutations in codon 13. B-Raf gene mutations were present in 17 patients (6.9%), of whom 6 (35.3%) had mutations in exon 15. Multivariate analysis revealed a predictive significance for K-Ras mutations with respect to time to progression in patients treated with irinotecan and oxaliplatin as first-line chemotherapy. There was no predictive significance for B-Raf gene mutation status in these patients. The following risk factors were found to affect overall survival (OS) rates: primary tumor location, lymph node involvement grade, carcinoembryonic antigen (CEA) level before treatment, and performance status according to WHO criteria. Conclusions: Based on the results of this study, K-Ras mutation status may be a suitable indicator of patient eligibility and a prognostic indicator for responsiveness to anti-EGFR therapy alone, or in combination with chemotherapy. Also, K-Ras mutation status may predict time to progression in patients treated with irinotecan and oxaliplatin.
Received: May 15, 2012; Accepted: August 10, 2012; Published Online: August 22, 2012
Colorectal cancer (CRC) is the third most common cancer in men (663,000 cases) and second in women (571,000) in the world, with more than one million newly diagnosed cases reported annually. Approximately 608,000 CRC deaths are estimated worldwide each year, accounting for 8% of all cancer deaths and making it the fourth most common cause of death from cancer.
Ras proteins are proto-oncogenes that function as molecular switches. In response to various hormones, cytokines, mitogens, and differentiation and growth factors such as epidermal growth factor (EGF) acting via the EGF receptor (EGFR), GTP-bound RAS regulates a number of critical cellular processes, including gene expression, mitosis, embryogenesis, cell differentiation, movement, metabolism, and programmed death.
Dysregulated signaling through this pathway due to mutations and genetic alterations in pathway components and/or upstream activators can lead to constitutive activation independent of EGFR signaling and uncontrolled cell proliferation. Indeed, constitutive activation of this pathway is found in many human cancers. Approximately 15–30% of all cancers have mutations in RAS family genes,
Somatic mutations in BRAF are associated with malignant melanomas,
The introduction of molecular biological techniques has facilitated the identification of hitherto unknown factors that influence both prognosis (prognostic markers) and response to previously administered anti-cancer therapy (predictive markers).
The aim of this study was to analyze the incidence of mutations in the K-Ras and B-Raf genes in patients with CRC, and to assess their significance as prognostic and predictive factors. Additionally, we also examined the potential role of selected clinical and pathological variables as prognostic factors.
Patient characteristics are summarized in
| Age in years | |
| (median age, age range) | 65 (25–85) |
| Gender | |
| Female | 181 (66.3%) |
| Male | 92 (33.7%) |
| K-Ras gene mutation status | |
| Mutation | 89 (32.6%) |
| Codon 12 | 76 (27.8%) |
| Codon 13 | 10 (3.7%) |
| Undetermined localization | 3 (1.1%) |
| Wild-type | 184 (67.4%) |
| B-Raf gene mutation status | |
| Mutation | 17 (6.2%) |
| Exon 11 | 1 (0.3%) |
| Exon 15 | 16 (5.9%) |
| Undetermined status of mutation | 10 (3.7%) |
| Wild-type | 246 (90.1%) |
| Primary tumor localization | |
| Colon | 112 (41.1%) |
| Sigmoid colon | 100 (36.6%) |
| Rectum | 61 (22.3%) |
| Localization of metastases | |
| Liver | 129 (66.5%) |
| Lungs | 39 (20.1%) |
| Other localizations | 126 (64.9%) |
K-Ras gene mutations were present in 89 patients (32.6%), of whom 76 (85.4%) had mutations in codon 12 and 10 (11.2%) had mutations in codon 13. Women showed a higher incidence of K-Ras gene mutations relative to men (p = 0.0290). No significant differences were observed with respect to tumor size, lymph node involvement grade, histological grade, histopathological type, primary tumor localization, performance status, age, or pretreatment CEA level.
B-Raf gene mutations were present in 17 patients (6.9%), of whom 6 (35.3%) had mutations in exon 15. One patient had a mutation in exon 11, while mutation status was not determined in 10 patients (58.8%). A higher incidence of B-Raf gene mutations was detected in patients with low-grade neoplasm (p < 0.0001), primary tumor localization outside the sigmoid colon (p = 0.0467) and with non-tubular neoplasms (p = 0.0468). Other parameters assessed were not statistically different.
There were no significant differences in OS rates between patients with K-Ras mutations and wild-type K-Ras genes (p = 0.6869;
Figure 1. Overall survival (OS) rates in patients with K-Ras gene mutations relative to those with wild-type gene.
Figure 2. OS rates in patients with K-Ras gene mutations in codon 12 relative to codon 13.
Similarly, mutations in the B-Raf gene showed no prognostic significance (
Figure 3. OS rates in patients with B-Raf gene mutations relative to those with wild-type gene.
These results are summarized in
| Univariate analysis | |||
| Clinical parameter | n | Median OS (months) | p value |
| Age | |||
| < 75 y | 231 | 58.9 | 0.0472 |
| ≥ 75 y | 38 | 36.7 | |
| Gender | |||
| Male | 92 | 42.6 | 0.0328 |
| Female | 181 | 62.7 | |
| Primary tumor localization | |||
| Sigmoid colon | 100 | 68 | 0.0039 |
| Colon/Rectum | 173 | 43.5 | |
| WHO performance status | |||
| 0–1 | 258 | 58.4 | 0.0027 |
| 2–3 | 15 | 19 | |
| Karnofsky performance status | |||
| ≤ 80 | 16 | 19.4 | 0.0036 |
| > 80 | 257 | 58.1 | |
| Lymph node involvement grade | |||
| Involved lymph nodes | 60 | 65.3 | 0.0031 |
| Uninvolved lymph nodes | 231 | 46.3 | |
| Pretreatment CEA level (ng/ml) | |||
| ≤ 5 | 170 | 25.6 | < 0.0001 |
| > 5 | 89 | 76.3 | |
| Multivariate analysis | |||
| Clinical parameter | HR (95% CI) | p value | |
| Primary tumor localization | |||
| Sigmoid colon vs. Rectum/Colon | 0.53 (0.35–0.81) | 0.0032 | |
| Lymph node involvement grade | |||
| Involved vs. Uninvolved | 1.94 (1.17–3.24) | 0.0107 | |
| WHO performance status | |||
| 0–1 vs. 2 | 0.34 (0.18–0.64) | 0.0008 | |
| Karnofsky performance status | |||
| ≤ 80 vs. > 80 | NS | > 0.05 | |
| Pretreatment CEA level (ng/ml) | |||
| ≤ 5 vs. > 5 | 2.68 (2.09–3.44) | < 0.0001 | |
| Age | |||
| ≤ 75 vs. > 75 y | NS | > 0.05 | |
| Gender | |||
| Male vs. female | NS | > 0.05 |
NS, not significant.
Other clinical parameters such as histological differentiation grade and primary tumor size showed no significant differences between groups.
These results are summarized in
Other clinical parameters such as age, gender, and Karnofsky performance status showed no significant differences in this analysis.
These results are summarized in
| Univariate analysis | |||
| Clinical parameter | n | Median time to progression (months) | p value |
| Age | |||
| < 75 y | 79 | 11 | 0.9099 |
| ≥ 75 y | 1 | - | |
| Gender | |||
| Male | 48 | 12 | 0.1598 |
| Female | 32 | 9 | |
| Primary tumor localization | |||
| Sigmoid colon | 27 | 11 | 0.644 |
| Colon/Rectum | 53 | 10.1 | |
| WHO performance status | |||
| • 0–1 | 79 | 11 | 0.3185 |
| • 2–3 | 1 | - | |
| Karnofsky performance status | |||
| ≤ 80 | 79 | - | 0.3185 |
| > 80 | 1 | 11 | |
| B-Raf gene mutation status | |||
| Mutation | 4 | 10.5 | 0.2909 |
| Wild-type | 69 | 11 | |
| K-Ras gene mutation status | |||
| Mutation | 4 | 9 | 0.05883 |
| Wild-type | 76 | 11 | |
| Pretreatment CEA level (ng/ml) | |||
| ≤ 5 | 38 | 13 | 0.0085 |
| > 5 | 40 | 9 | |
| Resection of metastases | |||
| Yes | 27 | 14 | 0.0131 |
| No | 53 | 9 |
| Multivariate analysis | |||
| Clinical parameter | HR (95% CI) | p value | |
| Histological type | |||
| Tubular vs. others | NS | > 0.05 | |
| K-Ras gene mutation status | |||
| Mutation vs. wild-type | 0.59 (0.25-.099) | 0.0459 | |
| B-Raf gene mutation status | |||
| Mutation vs. wild-type | NS | > 0.05 | |
| Pre-treatment CEA level (ng/ml) | |||
| ≤ 5 vs. > 5 | 0.52(0.33–0.83) | 0.0065 |
NS, not significant.
These results are summarized in
However, this analysis did not reveal any significant differences between patients with and without resection of metastases, with different histological types of neoplasms and B-Raf gene mutation status.
These results are summarized in
| Univariate analysis | |||
| Clinical parameter | n | Median time to progression (months) | p value |
| Age | |||
| < 75 y | 47 | 10 | 0.9252 |
| ≥ 75 y | 2 | - | |
| Gender | |||
| Male | 25 | 11 | 0.6149 |
| Female | 24 | 9.7 | |
| Primary tumor localization | |||
| Sigmoid colon | 24 | 11.6 | 0.2375 |
| Colon/Rectum | 25 | 9 | |
| WHO performance status | |||
| · 0–1 | 49 | 10 | 0.3185 |
| · 2–3 | 0 | - | |
| Histological type | |||
| Tubular | 22 | 13 | 0.0462 |
| Others | 27 | 9 | |
| Pretreatment CEA level (ng/ml) | |||
| · ≤ 5 | 25 | 13 | 0.0084 |
| · > 5 | 21 | 8 | |
| Resection of metastases | |||
| Yes | 18 | 16 | 0.0226 |
| No | 31 | 9 | |
| Multivariate analysis | |||
| Clinical parameter | HR (95% CI) | p value | |
| Histological type | NS | > 0.05 | |
| Tubular vs. others | |||
| Resection of metastases vs. no resection of metastases | 0.43 (0.21–0.90) | 0.0249 | |
| K-Ras gene mutation | 0.49 (0.24–0.99) | 0.0451 | |
| mutation vs. wild-type | |||
| Pretreatment CEA level (ng/ml) | NS | > 0.05 | |
| ≤ 5 vs. > 5 | |||
NS, not significant.
Figure 4. Time to progression according to K-Ras gene mutation status.
These results are summarized in
However, no statistically significant effects of CEA levels and types of neoplasm could be seen. The significance of B-Raf gene status, WHO performance status, and Karnofsky performance status could not be assessed due to the small number of patients.
Cancer treatment is increasingly based on targeted therapy, i.e., morphological identification of tumor histology, tumor staging and identification of target pathways and molecules. New insights into signaling processes gone astray in carcinogenesis broaden the scope of molecular diagnosis in cancer. Identification and validation of new prognostic and prognostic markers allow physicians to offer patient-targeted therapy from a broader range of options.
Presently known biomarkers for CRC include the genetic instability status of the tumor, KRAS mutation status as a negative predictive marker for the overall rate of response to anti-EGFR treatment in patients with metastatic cancer, and BRAF mutation as an unfavorable prognostic marker.
The introduction of molecularly targeted drugs for the treatment of advanced CRC is based on emerging data on the molecular mechanisms responsible for its origin and development. Disturbances in the RAS/RAF/MEK/ERK signaling pathway are the most frequent and perhaps the most important observed defects, with activating mutations in the K-Ras and B-Raf genes playing key roles.
The aims of this study were to evaluate the incidence of B-Raf and K-Ras gene mutation in patients with CRC regardless of disease stage, and to determine the prognostic significance of these mutations on time to progression in response to treatment with palliative chemotherapy. The role of select clinical and pathological variables as potential prognostic factors was also examined.
Our analysis revealed K-Ras gene mutations in our patient population with an incidence of 32.6% with most K-Ras mutations located in codon 12 (27.8%) compared with codon 13 (3.7%), similar to previously reported data.
Interestingly, women present with a higher rate of K-Ras gene mutations relative to men. A higher incidence of B-Raf mutations was seen in patients with low-grade neoplasms, primary tumor location outside the sigmoid colon, and neoplasms other than tubular.
In our analysis, no significant influence on survival was seen in patients with mutations either in the K-Ras or B-Raf genes relative to the general population. However, patients with K-Ras mutations in codon 12 showed significantly decreased survival rates compared with those with mutations in codon 13.
Previous studies have shown that mutations of the K-Ras gene in patients with metastatic CRC are a predictive marker of poor response to anti-EGFR therapy alone or in combination with chemotherapy, relative to patients with WT tumors.
Our study did not establish a prognostic role for B-Raf mutation status in CRC patients in contrast to the results obtained by Tol et al.,
In this study, univariate analysis of the role of clinical and pathological variables revealed a positive, statistically significant influence of the following factors on overall patient survival: female gender, primary tumor localization in sigmoid colon, CEA level within normal limits, good performance status (WHO: 0–1 or Karnofsky Performance Status Scale 81–100%) and lack of metastases in regional lymph nodes. Multivariate analysis identified primary tumor localization in sigmoid colon, lack of metastases in regional lymph nodes, CEA level within normal limits and good performance status according to WHO criteria (0–1) as favorable independent prognostic factors.
Lagautriere et al.
The predictive significance of molecular factors in response to treatment is a fundamental problem in oncology. Available data concerning possible influence of molecular parameters on chemotherapy treatment is strictly limited. Therefore, we performed an analysis of the influence of K-Ras and B-Raf mutations on time to progression in CRC patients being treated with palliative first-line chemotherapy based on irinotecan and oxaliplatin.
Multivariate analysis revealed a predictive significance for K-Ras mutations with respect to time to progression in patients treated with chemotherapy based on irinotecan and oxaliplatin as first-line chemotherapy. However, there was no predictive significance for B-Raf gene mutation status in patients treated with irinotecan or oxaliplatin (evaluation not performed due to a small n). Both univariate and multivariate analyses of time to progression in patients treated with irinotecan showed that pretreatment CEA level was a predictive factor. Resection of metastases was found to be a statistically significant predictive factor by univariate, but not by multivariate analysis. Additionally, univariate analysis revealed that pretreatment CEA level and histopathological type of neoplasm also influence time to progression. However, these factors were not identified by multivariate analysis.
To sum up, K-Ras mutation status, pretreatment CEA level and resection of metastases appear to be predictive of time to progression in CRC patients treated with chemotherapy regimens based on irinotecan and oxaliplatin in first-line therapy. Our results regarding CEA level and resection of metastases are similar to those published by Fong et al.
There is not much evidence for the predictive significance of K-Ras and B-Raf gene mutation status in patients treated solely with chemotherapy, including that based on irinotecan and oxaliplatin.
Our results suggest that determination of K-Ras and B-Raf mutation status in patients qualified for anti-EGFR therapy alone or in combination with chemotherapy can greatly assist in predicting the success or failure of these treatments. Moreover, K-Ras mutation status should be determined in patients qualified for chemotherapy based on irinotecan or oxaliplatin. The role of B-Raf mutation status remains unclear.
The research approved by the appropriate local ethical committees (reference numbers: WIM-50/2008 and WIM-45/2009).
273 consecutive patients (median age 65 y, range 25–85 y) with CRC who were treated between 2006 and 2010 at the Oncology Department of the Military Institute of the Heath Services, Warsaw, were included in this study (See
Inclusion criteria consisted of a confirmed histopathological diagnosis of colorectal cancer, availability of adequate primary tumor material, and a lack of effect of chemotherapy or radiotherapy on the tumor.
Surgically removed primary tumor tissue specimens were fixed in formalin and converted into paraffin blocks for further analysis.
Primary tumor tissue collected from colorectal cancer patients was fixed in 10% neutral buffered formalin for 24 h and converted into paraffin blocks. Serial 5 µm-thick sections of each paraffin block corresponding to representative areas of the tumors were stained with hematoxylin/eosin (H&E) and the presence of tumor tissue verified by an experienced pathologist.
DNA from paraffin-embedded tissue was prepared from 10–30 µm sections after macrodissection, to ensure they contained at least 80% tumor cells. Tissue samples were extracted with xylene and ethanol to remove paraffin and placed in 1% SDS/proteinase K (10 mg/ml) at 56°C overnight. DNA was isolated using the NucliSens easyMAG platform (bioMérieux) for automated nucleic acid extraction.
Mutation analysis at codons 12 and 13 of the K-Ras gene, and exons 11 and 15 of the B-Raf gene was performed by direct sequencing of amplified PCR products. Genomic DNA was amplified by PCR using the following primers: FS 5′- TCA TTA TTT TTA TTA TAA GGC CTG CTG - 3′, RS 5′-CAA GAT TTA CCT CTA TTG TTG GAT CA-3′ (for codons 12 and 13 in exon 2 of K-Ras), BF11 5′-TCCCTCTCAGGCATAAGGTAA-3′, BR11 5′-TTATTGATGCGAACAGTGAATAT-3′ (for a glycine-rich loop region in exon 11 of the B-Raf gene), B2F 5′-TCATAATGCTTGCTCTGATAGGA–3′, B1R 5′-TAACTCAGCAGCATCTCAGG–3′ (for activation domain in exon 15 of the B-Raf gene). PCRs were performed in a total volume of 10 µl containing 2 µl of extracted genomic DNA, 1X PCR buffer, 1.5 mmol/L MgCl2, 0.2 µmol/L of each primer, 0.1 mmol/L dNTPs and 1U of Taq DNA polymerase (EURx Ltd., Gdansk, Poland).
PCR conditions were as follows: 95°C for 10 min and 40 cycles of 95°C for 20 sec, 56°C for 30 sec (K-Ras and B-Raf in exon 11), 57°C for 30 sec (B-Raf in exon 15), 72°C for 30 sec, and finally 5 min at 72°C. Amplification products were purified using the DNA Gel-Out Kit (DNA GDANSK). Automated sequencing was performed using the Big Dye Terminator Cycle Sequencing kit version 3.1 (Applied Biosystems).
Sequencing reactions were purified using the ExTerminator Kit (DNA GDANSK), and analyzed on an ABI PRISM 377 DNA sequencer (Applied Biosystems). A wild-type control DNA sample (without K-Ras and B-Raf mutations) and a known mutation sample were also included in the experiment. The presence of a mutation was confirmed by sequencing at least two independent PCR products.
Detection of K-Ras mutations in codon 12 was performed by enriched non-radioactive single-step PCR-restriction fragment length polymorphism (RFLP) as described previously (Banerjee et al., 1997), with some modifications.
First-round PCR primers K1 5′-ACT GAA TAT AAA CTT GTG GTA GTT GGA CCT-3′ and DD5P 5′-TCA TGA AAA TGG TCA GAG AA-3′ were designed to create a restriction site for the restriction endonuclease BstOI (Promega) within the amplified product. The upstream primer K1 is immediately upstream of K-Ras codon 12 and introduces a G to C substitution at the first position of codon 11, creating a BstOI restriction site (5′-CCTGG-3′) in the amplified fragment. This site overlaps with the first 2 nucleotides of codon 12 and is lost when a codon 12 mutation is present. As a result, the restriction endonuclease BstOI recognizes the sequence 5′-CCTGG-3′ in K-Ras codon 12 wild-type PCR products and digests them, without affecting mutant PCR products.
Second-round PCR primers K1 and K2 5′-TCA AAG AAT GGT CCT GGA CC-3′ created another restriction site in the final segment of the PCR product, which served as an internal control for the restriction digestion. PCR products containing codon 12 mutations were mainly amplified in the second round, because wild-type products were digested in the previous step. These products will contain only one restriction site for BstOI near their 3′-end. Any non-digested PCR products containing wild-type codon 12 sequence that are amplified during the second PCR round will contain two BstOI restriction sites—one identical to that in the mutant molecules and the second overlapping with the codon 12 sequence (introduced by the K1 primer).
The products of the second PCR amplification were also digested with BstOI. The digestion products were electrophoresed on a 3% agarose gel and stained with ethidium bromide. Non-restricted PCR products were 157 bp, wild-type products were 113 bp and mutant codon 12 products were 142 bp in size. A normal control DNA sample (without the K-Ras codon 12 mutation) and a known mutation sample were included in all experiments. The results of PCR detection were verified by direct DNA sequencing.
The Chi-square test was used to investigate the differences between the 2 treatment groups with respect to baseline characteristics and response rates. Time to disease progression and overall survival (OS) were summarized as Kaplan-Meier estimates. The log-rank test was used in the Kaplan–Meier survival analyses to assess the effect of variables on time to disease progression and OS.
Multivariate analyses of time to disease progression and OS were performed by Cox proportional-hazard regression using the forward stepwise method; all variables found to be significant in the univariate analysis were included in the multivariate analysis. Statistical calculations were performed using STATISTICA for Windows Version 7.0 software.
The authors declare that they have no competing interests.
The authors thank the Proper Medical Writing (infrared group s.c.) for the technical and language assistance in the preparation of this paper.Contributors: Study concepts, R.S., L.B., R.Ch.; Study design, R.S., L.B., R.Ch.; Data acquisition, M.R., M.S., M.C.; Quality control of data and algorithms, L.Ch., W.K., C.Sz.; Data analysis and interpretation, R.S., L.B., R.Ch.; Statistical analysis, L.B.; Manuscript preparation, R.S., L.B., J.K., M.R., M.S.; Manuscript editing, R.S, R.Ch., J.K.; Manuscript review, J.N., C.Sz.; All authors read and approved the final manuscript.Sources of support: Support from the Military Institute of The Health Services, Warsaw, Poland, Grant No. WIM-50/2008 and WIM-45/2009.

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