Skip to main content

Main menu

  • Home
  • Current Issue
  • Archive
  • Info for
    • Authors
    • Editorial Policies
    • Subscribers
    • Advertisers
    • Editorial Board
  • Other Publications
    • In Vivo
    • Cancer Genomics & Proteomics
    • Cancer Diagnosis & Prognosis
  • More
    • IIAR
    • Conferences
    • 2008 Nobel Laureates
  • About Us
    • General Policy
    • Contact
  • Other Publications
    • Anticancer Research
    • In Vivo
    • Cancer Genomics & Proteomics

User menu

  • Register
  • Subscribe
  • My alerts
  • Log in
  • My Cart

Search

  • Advanced search
Anticancer Research
  • Other Publications
    • Anticancer Research
    • In Vivo
    • Cancer Genomics & Proteomics
  • Register
  • Subscribe
  • My alerts
  • Log in
  • My Cart
Anticancer Research

Advanced Search

  • Home
  • Current Issue
  • Archive
  • Info for
    • Authors
    • Editorial Policies
    • Subscribers
    • Advertisers
    • Editorial Board
  • Other Publications
    • In Vivo
    • Cancer Genomics & Proteomics
    • Cancer Diagnosis & Prognosis
  • More
    • IIAR
    • Conferences
    • 2008 Nobel Laureates
  • About Us
    • General Policy
    • Contact
  • Visit us on Facebook
  • Follow us on Linkedin
Research ArticleClinical Studies

Genetic Analysis Using a Gene Panel in 87 Caucasian Patients With Colorectal Cancer: Own Results and Review of Literature

MARIA A. SMOLLE, KARL KASHOFER, JAKOB M. RIEDL, MICHAEL STOTZ and ARMIN GERGER
Anticancer Research February 2019, 39 (2) 847-852; DOI: https://doi.org/10.21873/anticanres.13184
MARIA A. SMOLLE
1Department of Orthopaedics and Trauma, Medical University of Graz, Graz, Austria
2Division of Clinical Oncology, Internal Medicine, Medical University of Graz, Graz, Austria
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: maria.smolle@medunigraz.at
KARL KASHOFER
3Diagnostic and Research Institute for Pathology, Medical University of Graz, Graz, Austria
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
JAKOB M. RIEDL
2Division of Clinical Oncology, Internal Medicine, Medical University of Graz, Graz, Austria
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
MICHAEL STOTZ
2Division of Clinical Oncology, Internal Medicine, Medical University of Graz, Graz, Austria
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
ARMIN GERGER
2Division of Clinical Oncology, Internal Medicine, Medical University of Graz, Graz, Austria
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • Info & Metrics
  • PDF
Loading

Abstract

Background/Aim: Colorectal cancer (CRC) is the third most common cancer worldwide. The prognosis between left- and right-sided CRC differs, partly due to baseline differences as vascular supply. The purpose of the present study was to investigate whether there are genetic differences between left- and right-sided CRC. Patients and Methods: Eighty-seven patients with CRC (mean age: 61 years) were retrospectively included in the study. Blood samples were used for genetic analysis, by applying the sequencing research panel Ion AmpliSeq Colon and Lung Cancer Research Panel V2. Statistical analyses included Chi-square tests, Kaplan-Meier survival curves, and univariate/multivariate Cox-regression analyses. Results: By testing the sequence of 22 genes included in the panel, a significant difference was detected between left- and right-sided CRC regarding the expression of BRAF and DDR2 genes, with mutations occurring more often in the right-sided CRC. In the multivariate setting, left-sided CRC only turned out as a significant positive prognostic parameter regarding progression-free survival, irrespective of the type of chemotherapy or BRAF and NRAS mutations. Conclusion: Tumour location was the only parameter proven to be an independent prognostic factor for CRC in the present study.

  • Colorectal cancer
  • genetic analysis
  • prognostic markers
  • right-sided CRC
  • left-sided CRC
  • BRAF gene
  • DDR2 gene

Colorectal cancer (CRC) is responsible for over 600,000 deaths per year and constitutes the third most common cancer worldwide (1). Risk factors for development of CRC include inflammatory bowel disease, obesity, unhealthy diet, smoking and alcohol consumption as well as family history of CRC (2-7). Several favourable prognostic and predictive markers have been discovered over the years, including high-level microsatellite instability, tumour-infiltrating lymphocytes (especially CD45R0- and CD3-positive T cells) and the presence or absence of KRAS mutations (8-10).

Generally, the left-sided colon and rectal cancer have a significantly better outcome than the right-sided colon cancer. This is partly due to baseline differences between left- and right-sided colon, such as embryological beginnings, the vascular supply, the length of colonic crypts and the frequency of mutations within the tumour itself (11-13).

In the metastatic setting, patients with resectable metastases may undergo surgery, whilst others should be offered palliative chemotherapy (9). Significant treatment advances have been made over the years, with substances such as bevacizumab, which targets the vascular endothelial growth factor (VEGF), and cetuximab, which inhibits the activity of the epidermal growth factor receptor (EGFR) (14). However, cetuximab is only allowed in patients with no mutations in the RAS gene (9).

In the past, several gene mutations including NRAS, BRAF, and KRAS have been discovered as being of prognostic significance in CRC (15-17). These three genes encode kinases of the RAS-RAF-MAPK pathway and are downstream effectors of the EGFR signalling pathway (18). RAS mutations convert the proto-oncogene to an activated oncogene, resulting in the continuous activation of the downstream MAPK-pathway (19).

In the present study, 22 genes frequently mutated in CRC were analyzed so as to associate their state with the tumour location, and their potential impact as prognostic parameters was examined. Furthermore, a literature review was performed on differences between left- and right-sided colon cancer regarding patient outcome and molecular-pathological characteristics.

Patients and Methods

Patients. Eighty-seven Caucasian patients with metastatic CRC treated between 2010 and 2017 at the Division of Clinical Oncology, Internal Medicine, Medical University of Graz, in Austria, were retrospectively included in the study. Demographic and pathological data, treatment-related, and follow-up information were derived from fever charts, pathology reports, and medical records. The median follow-up from start of palliative chemotherapy was 8 months [interquartile range (IQR)=3.5-12.5]. The mean age of all patients was 61.0 years (range=25-85) and 50/87 (57.5%) patients were male. Patients not receiving palliative chemotherapy, as well as patients with insufficient clinical data were excluded from the study.

Next generation sequencing (NGS) analysis. NGS libraries were prepared using the AmpliSeq library kit 2.0 (Thermo Fisher Scientific, Waltham Massachusetts, USA) and the Ion AmpliSeq Colon and Lung Cancer Research Panel V2 (Catalogue number: CP1004) primer pool covering hotspot mutations in 22 genes implicated in cancer. Patients' blood samples were analysed following the manufacturers' instructions. Sequencing was performed on an Ion Proton benchtop sequencer (Thermo Fisher Scientific, Waltham Massachusetts, USA) to a length of 200 base pairs. Initial data analysis was done using the Ion Torrent Suite Software Plug-ins (Thermo Fisher Scientific, open source, GPL, https://github.com/iontorrent/). Briefly, this included base calling, alignment to the reference genome (HG19) using the TMAP mapper and variant calling by a modified diBayes approach taking into account the flow space information. Called variants were annotated using open source software ANNOVAR (20) and SnpEff (21). All coding, nonsynonymous mutations were further evaluated and visually inspected in IGV (http://www.broadinstitute.org/igv/) and variant calls resulting from technical read errors or sequence effects were excluded from the analysis.

Statistical analysis. Statistical analyses were performed using the SPSS Version 23.0. Progression-free survival (PFS) was calculated from the start of palliative chemotherapy to the date of disease progression. Chi-squared tests were performed to investigate differences between groups. Kaplan-Meier survivorship curves were applied to estimate differences between groups regarding PFS. Univariate and multivariate Cox regression models were used to assess hazard ratios (HRs) and 95% confidence intervals (95% CIs) for PFS.

Results

Twenty-four tumours were located on the right side (27.6%; from the caecum to the left colonic flexure) and 63 on the left side (72.4%; from the left colonic flexure to the distal rectum), from which 31 cases also included rectal cancers (Table I).

Sixty patients (69%) were already presented with metastases at the time of diagnosis. The remaining 27 patients (31.0%) developed metastatic disease after 11 months on average, following the diagnosis of CRC. As palliative treatment, 33 patients had only received chemotherapy (37.9%), 20 patients had been treated with anti-EGFR either alone or in combination with chemotherapy (23.0%) and 34 patients had been administered anti-VEGF alone or in combination with conventional chemotherapy (39.1%).

The mutation rate of the 22 genes is shown in Table II. Using Chi-squared test, we found that mutations in genes BRAF (p=0.026) and DDR2 (p=0.020) were significantly more common in tumours located on the right side as compared to cancers emerging from the left side. The frequency of mutations in other genes, such as KRAS, SMAD4, PIK3CA, NRAS, TP53, FBBX7, MET, FGFR3, MAP2K1, ERBB2, AKT1, PTEN and FGFR1 were not significantly different between left- and right-sided cancers. CTNNB1, ALK, SKT11, EGFR, ERBB4, FGFR2 and NOTCH1 were not mutated in any of the samples (Table III).

View this table:
  • View inline
  • View popup
  • Download powerpoint
Table I.

Descriptive analysis of the study cohort.

In the univariate analysis, presence of mutations in NRAS (log-rank p=0.034) and BRAF (log-rank p=0.01) genes was significantly associated with a poorer PFS (Figures 1 and 2). No differences in PFS were found for KRAS, SMAD4, TP53, DDR2, PIK3CA, FBBX7, MET, FGFR3, MAP2K1, ERBB2, PTEN, AKT1 and FGFR1. As CTNNB1, ALK, SKT11, EGFR, ERBB4, FGFR2 and NOTCH1 were wild type (WT) in all samples analysed, no Kaplan-Meier survival curves were calculated for these genes.

In the multivariate analysis, tumours located on the left side (HR=0.400, 95%CI=0.166-0.969, p=0.042) were significantly associated with a better PFS, irrespective of the BRAF and NRAS mutation status or type of chemotherapy (Table IV).

Discussion

In the present study, testing 22 genes by next generation sequencing revealed a significant difference between left- and right-sided colorectal cancer regarding the mutations in the BRAF and the DDR2 gene, with both mutations occurring more often in the right-sided tumours. In the univariate analysis regarding the PFS of CRC patients, mutations in NRAS and BRAF genes were significantly associated with a poorer outcome. In the multivariate setting, however, only left-sided colon cancer was associated with a better PFS, irrespective of BRAF and NRAS mutation status or type of chemotherapy.

View this table:
  • View inline
  • View popup
  • Download powerpoint
Table II.

Mutation rates of the genes included in the Ion AmpliSeq Colon and Lung Cancer Research Panel V2, in the total study population.

Left- and right-sided colon show different features, from the histogenetic origin – the right-sided colon arises from the midgut, whilst the left-sided colon comes from the hindgut – to the differential expression of genes (13). Moreover, distinct molecular pathways are responsible for the development of left- and right-sided tumours. Right-sided colon cancer rather presents in cases where there is microsatellite instability (MSI-H), a CpG island methylator phenotype (CIMP), as well as mutations in KRAS, PIK3CA, and BRAF genes (22-24). In the present study, only BRAF mutations occurred more frequently in the right-sided tumours, together with the DDR2 mutations. In a large study by Slattery et al., 320 genes were identified being differentially expressed between colon cancers located on the right and left side at a significance level of 0.05 and 116 genes at a significance level of 0.01 (25). The study group also discovered a significant difference in gene expression levels depending on the extend of CIMP and MSI, and, moreover, revealed that the deregulation of mucin genes plays a crucial role in MSI-high tumours (25). Related to this, a previous study by Tanaka et al. discovered that the methylation status of hMLH1 gene, which is a main cause of MSI and is also associated with hereditary nonpolyposis colorectal cancer (HNPCC), is less frequently in left-sided colon cancer, together with a less frequent occurrence of CIMP positive state (26).

Notably, in a large study of 1,443 colon cancer samples, it was shown that there is no specific physical border at the left colonic flexure regarding the different molecular features displayed in CRC. Instead, mutation profiles change constantly from the proximal to the distal colon (i.e. from the cecum to the colon ascendens, to the right colonic flexure, to the colon transversum, to the left colonic flexure, to the colon descendens, to the – sigmoid, and finally to the – rectum) (27). However, as in the study by Tanaka et al. (26), high levels of MSI were more commonly seen in the right-sided colon cancer.

Besides the status of either MSI or CIMP, chromosomal instability (CIN) constitutes the third main type of (epigenetic) instability in CRC (28). CIN develops predominantly in sporadic tumours going through the adenoma-carcinoma sequence (29). Related to this, the most frequent gene mutations detected in our study were KRAS (64.4%, followed by TP53 (44.8%), PIK3CA (13.8%) and SMAD4 (8.0%), all associated with CIN (30). Our results are in line with the study by Wang et al. in which tumour specimens from 648 CRC patients were analysed using an amplicon-based targeted next generation sequencing (NGS) assay (24).

View this table:
  • View inline
  • View popup
  • Download powerpoint
Table III.

Mutation status depending on the tumour location (right vs. left side).

Figure 1.
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 1.

Kaplan–Meier survival curve depicting improved survival for patients without an NRAS mutation in the univariate analysis. PFS, Progression-free survival; CTX, chemotherapy.

Considering the prognostic significance of gene mutations in colon and rectal cancers, several studies have been performed in the past. For example, expression of DDR2 is associated with a poor patient outcome (31). In another study, KRAS mutations were not only associated with a poorer disease-free survival, but also with good response to FOLFOX-based chemotherapy (15). BRAF mutations, most commonly at codon 600, have been shown to predict poor outcome in CRC-patients (16). Similarly, NRAS mutations have been associated with a poorer overall survival in patients with CRC (17).

In the present study, mutations in BRAF and NRAS genes were significantly associated with a worse PFS in the univariate analysis. However, this association was not statistically significant in the multivariate setting, with the addition of tumour location, and the different types of therapy provided (EGFR-based, VEGF-based or conventional chemotherapy). In the study by Lee et al., mutations in the receptor tyrosine kinase (RTK)-RAS pathway (e.g. BRAF, EGFR, KRAS, HRAS) were associated with a significantly shorter recurrence-free survival, but only for left-sided tumours (32). On the other hand, BRAF mutations did not have a negative prognostic role in that study (27), despite being confirmed as a negative prognostic parameter in other analyses (32-34). Likewise in our study, BRAF mutations were associated with a poor patient outcome in the univariate setting. Additionally, in a randomised phase III NCCTG (Alliance) N0147 adjuvant chemotherapy trial that included 2,720 stage III colon cancers, patients harbouring KRAS or - mutations had a significantly reduced 5-year PFS (35). Interestingly, according to the PETACC3 adjuvant chemotherapy trial, right-sided stage II colon cancers developed relapses less often compared to left-sided cancers, whilst this difference was not evident in stage III tumours (13). Taken together, there are significant differences in mutation status between left- and right- sided colon cancer. However, results strongly depend on analytical tools used, selection of tumour types, and patient ethnicity included.

Figure 2.
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 2.

Kaplan–Meier survival curve showing the improved survival for patients without BRAF mutations in the univariate setting. PFS, Progression-free survival; CTX, chemotherapy.

In the light of precision medicine era, the identification of markers predicting the risk for individual patients to develop CRC has become important. Depending on ethnicity, genetic alterations may significantly differ. For example, in a study by Yueh et al., a specific genotype of the matrix metalloproteinase 7 (MMP-7) gene, MMP-7 A-181G, was associated with a slightly decreased susceptibility to develop CRC in comparison to the wild type C-153T in Taiwanese patients (36). In a related study, the single nucleotide polymorphism (SNP309) G allele in the murine double minute 2 (MDM2) gene significantly increased the susceptibility to CRC in comparison to the wild type T allele (37). In another study on Taiwanese patients, the methylenetetrahydrofolate (MTHFR) rs1801133 T allele conferred to a lower CRC susceptibility compared to the wild type C allele (38).

View this table:
  • View inline
  • View popup
  • Download powerpoint
Table IV.

Multivariate Cox-regression analysis for progression-free survival (PFS).

Moreover, according to Shamoun et al., alterations of interleukin-32 (IL-32), an intracellular pluripotent cytokine, correlated with dissemination of CRC in Swedish patients (39). In Caucasian patients, Cullin 1 (CUL-1) and CUL-2 proteins, which play a role in cell proliferation, migration, and invasion, were also shown to be involved in early carcinogenesis, as they were found in adenomatous polyps of the large bowel (39). Considering that specific genetic alterations are prevalent depending on ethnicity, further in-depth research comparing biomarkers between different countries would be of great value.

One limitation of the present study is the relatively small and heterogeneous patient cohort, including patients with primary as well as with metachronous metastasis. Additionally, the patients in the study cohort had received different treatments, partially based on their mutation profile (i.e. KRAS, NRAS, BRAF mutation status) and their clinical presentation. Despite the limitations, a significant difference between left- and right-sided colon cancer regarding the presence of DDR2 and BRAF mutations was shown. However, tumour sidedness was the only powerful prognostic factor in CRC, regardless of the NRAS or BRAF mutation status or the type of chemotherapy provided.

In synopsis, we and others have found significant differences between left- and right-sided colon cancer with regards to molecular-pathological profiles, However, not all of these parameters are reproducible in every single study, due to the genetic background of different populations and the different sensitivity of the various methods used to detect and interpret genetic alterations (40). Further larger studies on the identification of specific CRC biomarkers of prognostic value would enable tailored treatment for CRC patients.

  • Received October 28, 2018.
  • Revision received December 12, 2018.
  • Accepted December 20, 2018.
  • Copyright© 2019, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved

References

  1. ↵
    1. Ferlay J,
    2. Soerjomataram I,
    3. Dikshit R,
    4. Eser S,
    5. Mathers C,
    6. Rebelo M,
    7. Parkin DM,
    8. Forman D,
    9. Bray F
    : Cancer incidence and mortality worldwide: Sources, methods and major patterns in globocan 2012. Int J Cancer 136(5): E359-386, 2015.
    OpenUrlCrossRefPubMed
  2. ↵
    1. Taylor DP,
    2. Burt RW,
    3. Williams MS,
    4. Haug PJ,
    5. Cannon-Albright LA
    : Population-based family history-specific risks for colorectal cancer: A constellation approach. Gastroenterology 138(3): 877-885, 2010.
    OpenUrlCrossRefPubMed
    1. Jess T,
    2. Rungoe C,
    3. Peyrin-Biroulet L
    : Risk of colorectal cancer in patients with ulcerative colitis: A meta-analysis of population-based cohort studies. Clin Gastroenterol Hepatol 10(6): 639-645, 2012.
    OpenUrlCrossRefPubMed
    1. Liang PS,
    2. Chen TY,
    3. Giovannucci E
    : Cigarette smoking and colorectal cancer incidence and mortality: Systematic review and meta-analysis. Int J Cancer 124(10): 2406-2415, 2009.
    OpenUrlCrossRefPubMed
    1. Fedirko V,
    2. Tramacere I,
    3. Bagnardi V,
    4. Rota M,
    5. Scotti L,
    6. Islami F,
    7. Negri E,
    8. Straif K,
    9. Romieu I,
    10. La Vecchia C,
    11. Boffetta P,
    12. Jenab M
    : Alcohol drinking and colorectal cancer risk: An overall and dose-response meta-analysis of published studies. Ann Oncol 22(9): 1958-1972, 2011.
    OpenUrlCrossRefPubMed
    1. Chan DS,
    2. Lau R,
    3. Aune D,
    4. Vieira R,
    5. Greenwood DC,
    6. Kampman E,
    7. Norat T
    : Red and processed meat and colorectal cancer incidence: Meta-analysis of prospective studies. PLoS One 6(6): e20456, 2011.
    OpenUrlCrossRefPubMed
  3. ↵
    1. Ma Y,
    2. Yang Y,
    3. Wang F,
    4. Zhang P,
    5. Shi C,
    6. Zou Y,
    7. Qin H
    : Obesity and risk of colorectal cancer: A systematic review of prospective studies. PLoS One 8(1): e53916, 2013.
    OpenUrlCrossRefPubMed
  4. ↵
    1. Amado RG,
    2. Wolf M,
    3. Peeters M,
    4. Van Cutsem E,
    5. Siena S,
    6. Freeman DJ,
    7. Juan T,
    8. Sikorski R,
    9. Suggs S,
    10. Radinsky R,
    11. Patterson SD,
    12. Chang DD
    : Wild-type kras is required for panitumumab efficacy in patients with metastatic colorectal cancer. J Clin Oncol 26(10): 1626-1634, 2008.
    OpenUrlAbstract/FREE Full Text
  5. ↵
    1. Brenner H,
    2. Kloor M,
    3. Pox CP
    : Colorectal cancer. Lancet 383(9927): 1490-1502, 2014.
    OpenUrlCrossRefPubMed
  6. ↵
    1. Galon J,
    2. Costes A,
    3. Sanchez-Cabo F,
    4. Kirilovsky A,
    5. Mlecnik B,
    6. Lagorce-Pages C,
    7. Tosolini M,
    8. Camus M,
    9. Berger A,
    10. Wind P,
    11. Zinzindohoue F,
    12. Bruneval P,
    13. Cugnenc PH,
    14. Trajanoski Z,
    15. Fridman WH,
    16. Pages F
    : Type, density, and location of immune cells within human colorectal tumors predict clinical outcome. Science 313(5795): 1960-1964, 2006.
    OpenUrlAbstract/FREE Full Text
  7. ↵
    1. Pocard M,
    2. Salmon RJ,
    3. Muleris M,
    4. Remvikos Y,
    5. Bara J,
    6. Dutrillaux B,
    7. Poupon MF
    : Two colons--two cancers? Proximal or distal adenocarcinoma: Arguments for a different carcinogenesis. Bull Cancer 82(1): 10-21, 1995.
    OpenUrlPubMed
    1. Araki K,
    2. Furuya Y,
    3. Kobayashi M,
    4. Matsuura K,
    5. Ogata T,
    6. Isozaki H
    : Comparison of mucosal microvasculature between the proximal and distal human colon. J Electron Microsc (Tokyo) 45(3): 202-206, 1996.
    OpenUrlPubMed
  8. ↵
    1. Missiaglia E,
    2. Jacobs B,
    3. D'Ario G,
    4. Di Narzo AF,
    5. Soneson C,
    6. Budinska E,
    7. Popovici V,
    8. Vecchione L,
    9. Gerster S,
    10. Yan P,
    11. Roth AD,
    12. Klingbiel D,
    13. Bosman FT,
    14. Delorenzi M,
    15. Tejpar S
    : Distal and proximal colon cancers differ in terms of molecular, pathological, and clinical features. Ann Oncol 25(10): 1995-2001, 2014.
    OpenUrlCrossRefPubMed
  9. ↵
    1. Heinemann V,
    2. von Weikersthal LF,
    3. Decker T,
    4. Kiani A,
    5. Vehling-Kaiser U,
    6. Al-Batran SE,
    7. Heintges T,
    8. Lerchenmuller C,
    9. Kahl C,
    10. Seipelt G,
    11. Kullmann F,
    12. Stauch M,
    13. Scheithauer W,
    14. Hielscher J,
    15. Scholz M,
    16. Muller S,
    17. Link H,
    18. Niederle N,
    19. Rost A,
    20. Hoffkes HG,
    21. Moehler M,
    22. Lindig RU,
    23. Modest DP,
    24. Rossius L,
    25. Kirchner T,
    26. Jung A,
    27. Stintzing S
    : Folfiri plus cetuximab versus folfiri plus bevacizumab as first-line treatment for patients with metastatic colorectal cancer (fire-3): A randomised, open-label, phase 3 trial. Lancet Oncol 15(10): 1065-1075, 2014.
    OpenUrlCrossRefPubMed
  10. ↵
    1. Deng Y,
    2. Wang L,
    3. Tan S,
    4. Kim GP,
    5. Dou R,
    6. Chen D,
    7. Cai Y,
    8. Fu X,
    9. Wang L,
    10. Zhu J,
    11. Wang J
    : Kras as a predictor of poor prognosis and benefit from postoperative folfox chemotherapy in patients with stage ii and iii colorectal cancer. Mol Oncol 9(7): 1341-1347, 2015.
    OpenUrl
  11. ↵
    1. Farina-Sarasqueta A,
    2. van Lijnschoten G,
    3. Moerland E,
    4. Creemers GJ,
    5. Lemmens VE,
    6. Rutten HJ,
    7. van den Brule AJ
    : The braf v600e mutation is an independent prognostic factor for survival in stage ii and stage iii colon cancer patients. Ann Oncol 21(12): 2396-2402, 2010.
    OpenUrlCrossRefPubMed
  12. ↵
    1. Schirripa M,
    2. Cremolini C,
    3. Loupakis F,
    4. Morvillo M,
    5. Bergamo F,
    6. Zoratto F,
    7. Salvatore L,
    8. Antoniotti C,
    9. Marmorino F,
    10. Sensi E,
    11. Lupi C,
    12. Fontanini G,
    13. De Gregorio V,
    14. Giannini R,
    15. Basolo F,
    16. Masi G,
    17. Falcone A
    : Role of nras mutations as prognostic and predictive markers in metastatic colorectal cancer. Int J Cancer 136(1): 83-90, 2015.
    OpenUrlCrossRefPubMed
  13. ↵
    1. Sebolt-Leopold JS,
    2. Herrera R
    : Targeting the mitogen-activated protein kinase cascade to treat cancer. Nat Rev Cancer 4(12): 937-947, 2004.
    OpenUrlCrossRefPubMed
  14. ↵
    1. Johnson GL,
    2. Lapadat R
    : Mitogen-activated protein kinase pathways mediated by erk, jnk, and p38 protein kinases. Science 298(5600): 1911-1912, 2002.
    OpenUrlAbstract/FREE Full Text
  15. ↵
    1. Wang K,
    2. Li M,
    3. Hakonarson H
    : Annovar: Functional annotation of genetic variants from high-throughput sequencing data. Nucleic Acids Res 38(16): e164, 2010.
    OpenUrlCrossRefPubMed
  16. ↵
    1. Cingolani P,
    2. Platts A,
    3. Wang le L,
    4. Coon M,
    5. Nguyen T,
    6. Wang L,
    7. Land SJ,
    8. Lu X,
    9. Ruden DM
    : A program for annotating and predicting the effects of single nucleotide polymorphisms, snpeff: Snps in the genome of drosophila melanogaster strain w1118; iso-2; iso-3. Fly (Austin) 6(2): 80-92, 2012.
    OpenUrlCrossRefPubMed
  17. ↵
    1. Lee DW,
    2. Han SW,
    3. Cha Y,
    4. Rhee YY,
    5. Bae JM,
    6. Cho NY,
    7. Lee KH,
    8. Kim TY,
    9. Oh DY,
    10. Im SA,
    11. Bang YJ,
    12. Jeong SY,
    13. Park KJ,
    14. Kang GH,
    15. Kim TY
    : Different prognostic effect of cpg island methylation according to sex in colorectal cancer patients treated with adjuvant folfox. Clin Epigenetics 7: 63, 2015.
    OpenUrlCrossRefPubMed
    1. Hutchins G,
    2. Southward K,
    3. Handley K,
    4. Magill L,
    5. Beaumont C,
    6. Stahlschmidt J,
    7. Richman S,
    8. Chambers P,
    9. Seymour M,
    10. Kerr D,
    11. Gray R,
    12. Quirke P
    : Value of mismatch repair, kras, and braf mutations in predicting recurrence and benefits from chemotherapy in colorectal cancer. J Clin Oncol 29(10): 1261-1270, 2011.
    OpenUrlAbstract/FREE Full Text
  18. ↵
    1. Wang Y,
    2. Liu H,
    3. Hou Y,
    4. Zhou X,
    5. Liang L,
    6. Zhang Z,
    7. Shi H,
    8. Xu S,
    9. Hu P,
    10. Zheng Z,
    11. Liu R,
    12. Tang T,
    13. Ye F,
    14. Liang Z,
    15. Bu H
    : Performance validation of an amplicon-based targeted next-generation sequencing assay and mutation profiling of 648 chinese colorectal cancer patients. Virchows Arch 472(6): 959-968, 2018.
    OpenUrl
  19. ↵
    1. Slattery ML,
    2. Pellatt DF,
    3. Mullany LE,
    4. Wolff RK,
    5. Herrick JS
    : Gene expression in colon cancer: A focus on tumor site and molecular phenotype. Genes Chromosomes Cancer 54(9): 527-541, 2015.
    OpenUrlCrossRefPubMed
  20. ↵
    1. Tanaka J,
    2. Watanabe T,
    3. Kanazawa T,
    4. Tada T,
    5. Kazama Y,
    6. Tanaka T,
    7. Nagawa H
    : Left-sided microsatellite unstable colorectal cancers show less frequent methylation of hmlh1 and cpg island methylator phenotype than right-sided ones. J Surg Oncol 96(7): 611-618, 2007.
    OpenUrlPubMed
  21. ↵
    1. Yamauchi M,
    2. Morikawa T,
    3. Kuchiba A,
    4. Imamura Y,
    5. Qian ZR,
    6. Nishihara R,
    7. Liao X,
    8. Waldron L,
    9. Hoshida Y,
    10. Huttenhower C,
    11. Chan AT,
    12. Giovannucci E,
    13. Fuchs C,
    14. Ogino S
    : Assessment of colorectal cancer molecular features along bowel subsites challenges the conception of distinct dichotomy of proximal versus distal colorectum. Gut 61(6): 847-854, 2012.
    OpenUrlAbstract/FREE Full Text
  22. ↵
    1. Fearon ER,
    2. Vogelstein B
    : A genetic model for colorectal tumorigenesis. Cell 61(5): 759-767, 1990.
    OpenUrlCrossRefPubMed
  23. ↵
    1. Fearon ER
    : Molecular genetics of colorectal cancer. Annu Rev Pathol 6: 479-507, 2011.
    OpenUrlCrossRefPubMed
  24. ↵
    1. Pino MS,
    2. Chung DC
    : The chromosomal instability pathway in colon cancer. Gastroenterology 138(6): 2059-2072, 2010.
    OpenUrlCrossRefPubMed
  25. ↵
    1. Sasaki S,
    2. Ueda M,
    3. Iguchi T,
    4. Kaneko M,
    5. Nakayama H,
    6. Watanabe T,
    7. Sakamoto A,
    8. Mimori K
    : Ddr2 expression is associated with a high frequency of peritoneal dissemination and poor prognosis in colorectal cancer. Anticancer Res 37(5): 2587-2591, 2017.
    OpenUrlAbstract/FREE Full Text
  26. ↵
    1. Lee DW,
    2. Han SW,
    3. Cha Y,
    4. Bae JM,
    5. Kim HP,
    6. Lyu J,
    7. Han H,
    8. Kim H,
    9. Jang H,
    10. Bang D,
    11. Huh I,
    12. Park T,
    13. Won JK,
    14. Jeong SY,
    15. Park KJ,
    16. Kang GH,
    17. Kim TY
    : Association between mutations of critical pathway genes and survival outcomes according to the tumor location in colorectal cancer. Cancer 123(18): 3513-3523, 2017.
    OpenUrl
    1. Ogino S,
    2. Shima K,
    3. Meyerhardt JA,
    4. McCleary NJ,
    5. Ng K,
    6. Hollis D,
    7. Saltz LB,
    8. Mayer RJ,
    9. Schaefer P,
    10. Whittom R,
    11. Hantel A,
    12. Benson AB 3rd.,
    13. Spiegelman D,
    14. Goldberg RM,
    15. Bertagnolli MM,
    16. Fuchs CS
    : Predictive and prognostic roles of braf mutation in stage iii colon cancer: Results from intergroup trial calgb 89803. Clin Cancer Res 18(3): 890-900, 2012.
    OpenUrlAbstract/FREE Full Text
  27. ↵
    1. French AJ,
    2. Sargent DJ,
    3. Burgart LJ,
    4. Foster NR,
    5. Kabat BF,
    6. Goldberg R,
    7. Shepherd L,
    8. Windschitl HE,
    9. Thibodeau SN
    : Prognostic significance of defective mismatch repair and braf v600e in patients with colon cancer. Clin Cancer Res 14(11): 3408-3415, 2008.
    OpenUrlAbstract/FREE Full Text
  28. ↵
    1. Sinicrope FA,
    2. Shi Q,
    3. Smyrk TC,
    4. Thibodeau SN,
    5. Dienstmann R,
    6. Guinney J,
    7. Bot BM,
    8. Tejpar S,
    9. Delorenzi M,
    10. Goldberg RM,
    11. Mahoney M,
    12. Sargent DJ,
    13. Alberts SR
    : Molecular markers identify subtypes of stage iii colon cancer associated with patient outcomes. Gastroenterology 148(1): 88-99, 2015.
    OpenUrlCrossRefPubMed
  29. ↵
    1. Yueh TC,
    2. Wu CN,
    3. Hung YW,
    4. Chang WS,
    5. Fu CK,
    6. Pei JS,
    7. Wu MH,
    8. Lai YL,
    9. Lee YM,
    10. Yen ST,
    11. Li HT,
    12. Tsai CW,
    13. Bau DT
    : The contribution of mmp-7 genotypes to colorectal cancer susceptibility in taiwan. Cancer Genomics Proteomics 15(3): 207-212, 2018.
    OpenUrlAbstract/FREE Full Text
  30. ↵
    1. Yueh TC,
    2. Hung YW,
    3. Shih TC,
    4. Wu CN,
    5. Wang SC,
    6. Lai YL,
    7. Hsu SW,
    8. Wu MH,
    9. Fu CK,
    10. Wang YC,
    11. Ke TW,
    12. Chang WS,
    13. Tsai CW,
    14. Bau DT
    : Contribution of murine double minute 2 genotypes to colorectal cancer risk in taiwan. Cancer Genomics Proteomics 15(5): 405-411, 2018.
    OpenUrlAbstract/FREE Full Text
  31. ↵
    1. Lin KM,
    2. Yang MD,
    3. Tsai CW,
    4. Chang WS,
    5. Hsiao CL,
    6. Jeng LB,
    7. Yueh TC,
    8. Lee MC,
    9. Bau DT
    : The role of mthfr genotype in colorectal cancer susceptibility in taiwan. Anticancer Res 38(4): 2001-2006, 2018.
    OpenUrlAbstract/FREE Full Text
  32. ↵
    1. Michail O,
    2. Moris D,
    3. Theocharis S,
    4. Griniatsos J
    : Cullin-1 and -2 protein expression in colorectal cancer: Correlation with clinicopathological variables. In Vivo 32(2): 391-396, 2018.
    OpenUrlAbstract/FREE Full Text
  33. ↵
    1. Errington TM,
    2. Iorns E,
    3. Gunn W,
    4. Tan FE,
    5. Lomax J,
    6. Nosek BA
    : An open investigation of the reproducibility of cancer biology research. Elife 3: e04333, 2014.
    OpenUrlCrossRefPubMed
PreviousNext
Back to top

In this issue

Anticancer Research: 39 (2)
Anticancer Research
Vol. 39, Issue 2
February 2019
  • Table of Contents
  • Table of Contents (PDF)
  • Index by author
  • Back Matter (PDF)
  • Ed Board (PDF)
  • Front Matter (PDF)
Print
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word on Anticancer Research.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Genetic Analysis Using a Gene Panel in 87 Caucasian Patients With Colorectal Cancer: Own Results and Review of Literature
(Your Name) has sent you a message from Anticancer Research
(Your Name) thought you would like to see the Anticancer Research web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
2 + 8 =
Solve this simple math problem and enter the result. E.g. for 1+3, enter 4.
Citation Tools
Genetic Analysis Using a Gene Panel in 87 Caucasian Patients With Colorectal Cancer: Own Results and Review of Literature
MARIA A. SMOLLE, KARL KASHOFER, JAKOB M. RIEDL, MICHAEL STOTZ, ARMIN GERGER
Anticancer Research Feb 2019, 39 (2) 847-852; DOI: 10.21873/anticanres.13184

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Reprints and Permissions
Share
Genetic Analysis Using a Gene Panel in 87 Caucasian Patients With Colorectal Cancer: Own Results and Review of Literature
MARIA A. SMOLLE, KARL KASHOFER, JAKOB M. RIEDL, MICHAEL STOTZ, ARMIN GERGER
Anticancer Research Feb 2019, 39 (2) 847-852; DOI: 10.21873/anticanres.13184
Reddit logo Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • Patients and Methods
    • Results
    • Discussion
    • References
  • Figures & Data
  • Info & Metrics
  • PDF

Related Articles

  • No related articles found.
  • PubMed
  • Google Scholar

Cited By...

  • Nondysplastic Crypts in Fission in Nonpolypoid Adenomas and in the Adjacent Mucosa Support Field Cancerization in the Colon
  • Google Scholar

More in this TOC Section

  • Role of 1p/19q Codeletion in Diffuse Low-grade Glioma Tumour Prognosis
  • Identification of Patients With Glioblastoma Who May Benefit from Hypofractionated Radiotherapy
  • Optimal Treatment of Hormone Receptor-positive Advanced Breast Cancer Patients With Palbociclib
Show more Clinical Studies

Similar Articles

Keywords

  • Colorectal cancer
  • genetic analysis
  • prognostic markers
  • right-sided CRC
  • left-sided CRC
  • BRAF gene
  • DDR2 gene
Anticancer Research

© 2023 Anticancer Research

Powered by HighWire