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WO2008022432A1 - Molecular method for diagnosis of colon cancer - Google Patents

Molecular method for diagnosis of colon cancer Download PDF

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Publication number
WO2008022432A1
WO2008022432A1 PCT/CA2007/001408 CA2007001408W WO2008022432A1 WO 2008022432 A1 WO2008022432 A1 WO 2008022432A1 CA 2007001408 W CA2007001408 W CA 2007001408W WO 2008022432 A1 WO2008022432 A1 WO 2008022432A1
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colon
tissue
cancerous
genes
marker genes
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PCT/CA2007/001408
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French (fr)
Inventor
Nabil Belacel
Miroslava Cuperlovic-Culf
Rodney Ouellette
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National Research Council Of Canada
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Priority claimed from CA 2557134 external-priority patent/CA2557134A1/en
Priority claimed from US11/508,244 external-priority patent/US20080050723A1/en
Application filed by National Research Council Of Canada filed Critical National Research Council Of Canada
Priority to EP07800443A priority Critical patent/EP2059607A4/en
Publication of WO2008022432A1 publication Critical patent/WO2008022432A1/en

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    • C12Q1/6883—Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes for diseases caused by alterations of genetic material
    • C12Q1/6886—Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes for diseases caused by alterations of genetic material for cancer
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/48—Biological material, e.g. blood, urine; Haemocytometers
    • G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
    • G01N33/53—Immunoassay; Biospecific binding assay; Materials therefor
    • G01N33/574—Immunoassay; Biospecific binding assay; Materials therefor for cancer
    • G01N33/57407—Specifically defined cancers
    • G01N33/57419—Specifically defined cancers of colon
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    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
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    • A61B10/02—Instruments for taking cell samples or for biopsy
    • A61B10/0233—Pointed or sharp biopsy instruments
    • C—CHEMISTRY; METALLURGY
    • C12—BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
    • C12Q—MEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
    • C12Q2600/00—Oligonucleotides characterized by their use
    • C12Q2600/158—Expression markers

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  • the present invention relates to diagnosis methods and, more particularly, to diagnosis methods for detecting colon cancer.
  • colon cancer is one of the three most prevalent cancers in Canada for both men and women (Canadian Cancer Statistiscs, 2004).
  • Invasive biopsy procedures require long hospitalizations and may have numerous possible side effects.
  • Other alternative diagnostic procedures such as digital rectal examination, fecal occult blood procedure, double-contrast barium enema, flexible sigmoidoscopy, and total colonoscopy are mostly invasive.
  • the fecal occult blood test while non-invasive, requires confirmation by way of additional invasive procedures. Unfortunately, such invasive procedures can possibly lead to side effects and/or long hospitalizations.
  • the present invention provides methods for diagnosing or detecting cancerous colon tissue.
  • Colon tissue samples are acquired and are tested for the expression of specific marker genes.
  • a panel of 21 specific marker genes are provided. The overexpression of some of these marker genes compared to their expression in normal colon tissue and the underexpression of the rest of these marker genes compared to normal colon tissue are indicative of cancerous colon tissue.
  • small tissue samples such as those obtained by core needle biopsies and from stool samples can be used.
  • the present invention provides a method for determining if colon cells are cancerous, the method comprising: a) obtaining said colon cells; b) determining if at least one specific gene is overexpressed or underexpressed in said colon cells compared to an expression of said at least one specific gene in normal colon cells; c) determining that said colon cells are cancerous based on whether said at least one gene is overexpressed or underexpressed in said colon cells.
  • the present invention provides a use of at least one marker gene for identifying cancerous colon tissue, an overexpression or underexpression of said at least one marker gene in colon tissue compared to an expression of said at least one marker gene in normal colon tissue being indicative of cancerous colon tissue.
  • Yet another aspect of the invention provides a method of diagnosing colon cancer, the method comprising: a) obtaining colon tissue to be diagnosed; b) determining if specific marker genes are overexpressed or underexpressed in said colon tissue to be diagnosed compared to noncancerous colon tissue; c) determining if said colon tissue to be diagnosed is cancerous based on an underexpression or overexpression of said specific marker genes.
  • Figure 1 is an expression plot for the 21 genes which is the subject of the present invention.
  • Figures 2-20 illustrate box plots of the expression of the 21 genes in both cancerous and non-cancerous tissue.
  • Figure 21 is a table which, taken in conjunction with a table in the description, denotes which sample sets were used in which experiments for the box plotted results in Figures 2-20.
  • the present invention relates to the use of a panel of 21 specific marker genes to diagnose or detect cancerous colon tissue.
  • the panel of 21 marker genes is listed in Table 1 below. Experiments have shown that this panel of marker genes give high accuracy in colon cancer diagnosis due to the expression levels of the marker genes in cancer tissue relative to their expression levels in normal tissue.
  • the panel of 21 marker genes is given in Table 1.
  • the marker genes were determined from two different microarray data sets. The first 14 genes were found to give 100% of correct classification for the data set described by Notterman DA, et al. ((2001) Transcriptional Gene Expression Profiles of Colorectal Adenoma, Adenocarcinoma and Normal Tissue Examined by Oligonucleotide Arrays. Cancer Res. 61 :3124-3130). The rest of the genes in the panel were selected from the data set published by Alon, U. et al. ((1999) Broad Patterns of Gene Expression Revealed by Clustering Analysis of Tumour and Normal Colon Tissue Probed by Oligonucleotide Arrays. Proc. Natl. Acad. Sci. 96: 6745-6750).
  • the data set from Alon, et al. consisted of 40 tumour and 22 normal samples for a total of 66 samples. Samples were obtained from colon adenocarcinoma specimens snap-frozen in liquid nitrogen within 20 min of removal/collection from patients. From some of these patients paired normal colon tissue also was obtained. The microarrays were hybridized using Affymetrix Hum600 array using standard protocol. The 2,000 highest intensity genes were selected and published on the web at http://microarray.princeton.edu/oncology/. From this subset were selected seven diagnostic genes that give 100 % of correct classification (the last 6 genes in Table 1). The dataset from Alon et al.
  • the adenocarcinoma samples were specifically re-reviewed by a pathologist at the institution where the samples were obtained using paraffin-embedded tissue that was adjacent or in close proximity to the frozen sample from which the RNA was extracted.
  • the publicly available data set consists of 18 adenocarcinoma and 18 normal samples. The set consists of ⁇ 6600 genes. The 14 genes that give 100% accurate diagnosis of adenocarcinomas and normal colon tissue were selected using another method.
  • Table 1 Panel of 21 genes found to give high accuracy in colon cancer diagnosis and their expression level in cancer relative to normal tissue.
  • the genes listed above were derived using a microarray gene expression experiment, the gene expression plot being provided as Figure 1 for the 21 genes.
  • the samples are normal and cancerous tissues. In the plot, positive expression levels are shown in red while negative expression levels are shown in green. All experiments were normalized (scaled) to have a mean of zero and a standard deviation of one.
  • the expression of the above genes can be determined from sample tissue obtained from a patient. By determining the expression of the above noted genes in the sample tissue, the presence or absence of cancerous colon tissue may be determined.
  • the procedure for determining the expression of genes in tissue is well-known in the art.
  • colon tissue samples may be obtained from patient stool samples or core needle biopsies. These tissue samples may then be tested for the expression of the above genes and then compared to the expression of the above genes in tissue samples known to be non-cancerous. If the first 10 genes listed above are overexpressed in the patient sample tissue relative to their expression levels in normal tissue, and if the next 11 genes listed above are underexpressed in the patient sample tissue relative to their expression levels in normal tissue, then this would indicate the presence of cancerous colon tissue in the patient sample tissue..
  • expression analysis can be carried out using any method for measuring gene expression. Such methods as microarrays, diagnostic panel mini-chip, PCR, real-time PCR, and other similar methods may be used. Similarly, methods for measuring protein expression may also be used.
  • the cancerous colon cells can be obtained from a patient using minimally invasive core needle biopsy or from techniques such as from a patient's stool samples. Normal or non-cancerous colon cells against which the cancerous cells can be compared can also be obtained from the patient or from other patients. Experiments have shown that the diagnosis can be possible from just a small number of cancer cells.
  • the first sub-column shows the expression level for the gene AK1 in normal tissue (as noted in the table above) while the second sub-column for this experiment is the expression level for the gene AK1 in adenocarcionoma tissue (again as noted above for sample set A).
  • experiment 7 for the gene PYCR1 used the sample set C with four subsample sets (see Fig 2) which tested the expression level of PYCR1 in tissues at various Duke stages.

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Abstract

Methods for diagnosing or detecting cancerous colon tissue. A panel of 21 specific marker genes are provided with GeneBank Accession Numbers as follows: M77836, X63468, H20426, L18960, U30872, X81438, H67367, Dl 3645, R33367, T94834, L20852, R39540, H86039, T78477, T84082, X05610, R39130, T49397, T94350, L42611 and M33653. The overexpression of some of these marker genes compared to their expression in normal colon tissue and the underexpression of the rest of these marker genes are indicative of cancerous colon tissue. By using these 21 marker genes as a diagnostic tool, smaller tissue samples, such as those obtained by core needle biopsies and from patient stool samples, can be used.

Description

MOLECULAR METHOD FOR DIAGNOSIS OF COLON CANCER
Field of the Invention
[00001] The present invention relates to diagnosis methods and, more particularly, to diagnosis methods for detecting colon cancer.
Background to the Invention
[00002] With 19,200 new cases in Canada in 2004, colon cancer is one of the three most prevalent cancers in Canada for both men and women (Canadian Cancer Statistiscs, 2004). Invasive biopsy procedures require long hospitalizations and may have numerous possible side effects. Other alternative diagnostic procedures, such as digital rectal examination, fecal occult blood procedure, double-contrast barium enema, flexible sigmoidoscopy, and total colonoscopy are mostly invasive. The fecal occult blood test, while non-invasive, requires confirmation by way of additional invasive procedures. Unfortunately, such invasive procedures can possibly lead to side effects and/or long hospitalizations.
[00003] There is therefore a need for a non-invasive and accurate testing procedure for detecting colon cancer. Ideally, such a test should be able to detect cancerous colon cells even from small sample sizes.
[00004] There is therefore a need for a more accurate diagnostic method that does not require an invasive biopsy to detect or diagnose colon cancer. Ideally, such a method should be usable even with very small sample sizes and may be combined with other, pathologist-based diagnosis methods.
Summary of the Invention
[00005] The present invention provides methods for diagnosing or detecting cancerous colon tissue. Colon tissue samples are acquired and are tested for the expression of specific marker genes. A panel of 21 specific marker genes are provided. The overexpression of some of these marker genes compared to their expression in normal colon tissue and the underexpression of the rest of these marker genes compared to normal colon tissue are indicative of cancerous colon tissue. By using these 21 marker genes as a diagnostic tool, small tissue samples, such as those obtained by core needle biopsies and from stool samples can be used. [00006] In a first aspect, the present invention provides a method for determining if colon cells are cancerous, the method comprising: a) obtaining said colon cells; b) determining if at least one specific gene is overexpressed or underexpressed in said colon cells compared to an expression of said at least one specific gene in normal colon cells; c) determining that said colon cells are cancerous based on whether said at least one gene is overexpressed or underexpressed in said colon cells.
[00007] In another aspect, the present invention provides a use of at least one marker gene for identifying cancerous colon tissue, an overexpression or underexpression of said at least one marker gene in colon tissue compared to an expression of said at least one marker gene in normal colon tissue being indicative of cancerous colon tissue.
[00008] Yet another aspect of the invention provides a method of diagnosing colon cancer, the method comprising: a) obtaining colon tissue to be diagnosed; b) determining if specific marker genes are overexpressed or underexpressed in said colon tissue to be diagnosed compared to noncancerous colon tissue; c) determining if said colon tissue to be diagnosed is cancerous based on an underexpression or overexpression of said specific marker genes.
Brief Description of the Drawings
[00009] A better understanding of the invention will be obtained by considering the detailed description below, with reference to the following drawings in which: [00010] Figure 1 is an expression plot for the 21 genes which is the subject of the present invention;
[00011] Figures 2-20 illustrate box plots of the expression of the 21 genes in both cancerous and non-cancerous tissue; and
[00012] Figure 21 is a table which, taken in conjunction with a table in the description, denotes which sample sets were used in which experiments for the box plotted results in Figures 2-20.
Detailed Description
[00013] The present invention relates to the use of a panel of 21 specific marker genes to diagnose or detect cancerous colon tissue. The panel of 21 marker genes is listed in Table 1 below. Experiments have shown that this panel of marker genes give high accuracy in colon cancer diagnosis due to the expression levels of the marker genes in cancer tissue relative to their expression levels in normal tissue.
[00014] The panel of 21 marker genes is given in Table 1. The marker genes were determined from two different microarray data sets. The first 14 genes were found to give 100% of correct classification for the data set described by Notterman DA, et al. ((2001) Transcriptional Gene Expression Profiles of Colorectal Adenoma, Adenocarcinoma and Normal Tissue Examined by Oligonucleotide Arrays. Cancer Res. 61 :3124-3130). The rest of the genes in the panel were selected from the data set published by Alon, U. et al. ((1999) Broad Patterns of Gene Expression Revealed by Clustering Analysis of Tumour and Normal Colon Tissue Probed by Oligonucleotide Arrays. Proc. Natl. Acad. Sci. 96: 6745-6750).
[00015] The data set from Alon, et al. consisted of 40 tumour and 22 normal samples for a total of 66 samples. Samples were obtained from colon adenocarcinoma specimens snap-frozen in liquid nitrogen within 20 min of removal/collection from patients. From some of these patients paired normal colon tissue also was obtained. The microarrays were hybridized using Affymetrix Hum600 array using standard protocol. The 2,000 highest intensity genes were selected and published on the web at http://microarray.princeton.edu/oncology/. From this subset were selected seven diagnostic genes that give 100 % of correct classification (the last 6 genes in Table 1). The dataset from Alon et al. is limited in size and therefore biomarker selection was performed on another data set also found in the Notterman et al. paper. In this data set, samples of colon adenocarcinoma and paired normal tissue from the same patient were obtained from the Cooperative Human Tissue Network. The tissue was snap-frozen in liquid nitrogen within 20- 30 min of harvesting and stored thereafter at -800C. mRNA was extracted from the bulk tissue samples and hybridized to the array using standard procedure (see Notterman et al., 2001). This data set was also cited by Rhodes et al. in 2004 (see Rhodes, D. R. et al. (2004) Large-scale Meta-Analysis of Cancer Microarray Data Identifies Common Transcriptional Profiles of Neoplastic Transformation and Progression. Proc. Natl. Acad. Sci. 101 : 9309). The adenocarcinoma samples were specifically re-reviewed by a pathologist at the institution where the samples were obtained using paraffin-embedded tissue that was adjacent or in close proximity to the frozen sample from which the RNA was extracted. The publicly available data set consists of 18 adenocarcinoma and 18 normal samples. The set consists of ~6600 genes. The 14 genes that give 100% accurate diagnosis of adenocarcinomas and normal colon tissue were selected using another method.
Table 1 - Panel of 21 genes found to give high accuracy in colon cancer diagnosis and their expression level in cancer relative to normal tissue.
Figure imgf000005_0001
Figure imgf000006_0001
Figure imgf000007_0001
Figure imgf000008_0001
[00016] The genes listed above were derived using a microarray gene expression experiment, the gene expression plot being provided as Figure 1 for the 21 genes. For this expression plot, the samples are normal and cancerous tissues. In the plot, positive expression levels are shown in red while negative expression levels are shown in green. All experiments were normalized (scaled) to have a mean of zero and a standard deviation of one. [00017] By following the procedure noted above, the expression of the above genes can be determined from sample tissue obtained from a patient. By determining the expression of the above noted genes in the sample tissue, the presence or absence of cancerous colon tissue may be determined. [00018] It should be noted that the procedure for determining the expression of genes in tissue is well-known in the art. Furthermore, procedures for the extraction and collection of tissue, in this case colon tissue, are also well-known. As noted above, colon tissue samples may be obtained from patient stool samples or core needle biopsies. These tissue samples may then be tested for the expression of the above genes and then compared to the expression of the above genes in tissue samples known to be non-cancerous. If the first 10 genes listed above are overexpressed in the patient sample tissue relative to their expression levels in normal tissue, and if the next 11 genes listed above are underexpressed in the patient sample tissue relative to their expression levels in normal tissue, then this would indicate the presence of cancerous colon tissue in the patient sample tissue..
[00019] It should be noted that expression analysis can be carried out using any method for measuring gene expression. Such methods as microarrays, diagnostic panel mini-chip, PCR, real-time PCR, and other similar methods may be used. Similarly, methods for measuring protein expression may also be used. [00020] As noted above, the cancerous colon cells can be obtained from a patient using minimally invasive core needle biopsy or from techniques such as from a patient's stool samples. Normal or non-cancerous colon cells against which the cancerous cells can be compared can also be obtained from the patient or from other patients. Experiments have shown that the diagnosis can be possible from just a small number of cancer cells.
[00021] Referring to Figures 2 - 20, boxplots of test results for the above noted genes are illustrated. The boxplots illustrate that, for each particular gene, that gene is either underexpressed or overexpressed in cancerous tissue relative to normal tissue. The tissue samples which were used for the experiments were those used and referred to in the following publications as set out in the table below :
Figure imgf000010_0001
Figure imgf000011_0001
Figure imgf000012_0001
Figure imgf000013_0001
[00022] For the experiments for which the results are in the boxplots of Figures 2-20, the genes tested and the sample sets used are as noted in Figure 21. The second row in the table of Figure 21 notes the symbol of the gene being tested while the first column denotes the experiment number. The intersection between the gene symbol and the experiment number shows the sample set used for that experiment. The experiment number corresponds to the bottom row of the box plot for that gene. As an example, for the gene denoted by symbol AK1 , the boxplot of which is in Figure 13, experiment 1 used sample set A noted above. Since sample set A has two sample subsets, then there are two sub-columns for the first column in the box plot of Fig 13. The first sub-column shows the expression level for the gene AK1 in normal tissue (as noted in the table above) while the second sub-column for this experiment is the expression level for the gene AK1 in adenocarcionoma tissue (again as noted above for sample set A). [00023] As another example, experiment 7 for the gene PYCR1 used the sample set C with four subsample sets (see Fig 2) which tested the expression level of PYCR1 in tissues at various Duke stages.
[00024] The correspondence between the test results in the figures and the genes being tested are as follows :
Figure imgf000014_0001
Figure imgf000015_0001
[00025] It should be noted that the underexpression or the overexpression of the above noted genes in cancerous tissue relative to their expression in normal tissue is readily evident in the box plots. Specifically, the experiments which used the samples sets A, B, M, and N compare the expression levels of specific genes in both cancerous and non-cancerous tissue in a side-by-side manner. For the genes which were not tested for sample sets A, B, M, and N, their expression levels for sample set F (normal tissue) may be compared with their expression levels for sample sets H and I (cancerous tissue). For the genes for which sample set E was used, the presence of p53 mutation indicates cancerous tissue, sample subset 2 for this sample set being cancerous tissue. [00026] While it is preferable that the complete panel of 21 marker genes be used in the diagnosis of possible colon cancer, using a subset of the 21 marker genes will also yield useful results. Using a panel of anywhere from 1 to 21 marker genes out of the 21 marker genes on suspect colon tissue will still provide a useful indication as to whether cancerous colon tissue may be present or whether further and more involved tests are required. [00027] A person understanding this invention may now conceive of alternative structures and embodiments or variations of the above all of which are intended to fall within the scope of the invention as defined in the claims that follow.

Claims

We claim:
1. A method for determining if colon cells are cancerous, the method comprising: a) obtaining said colon cells; b) determining if at least one specific gene is overexpressed or underexpressed in said colon cells compared to an expression of said at least one specific gene in normal colon cells; c) determining that said colon cells are cancerous based on whether said at least one gene is overexpressed or underexpressed in said colon cells.
2. A method according to claim 1 wherein said colon cells are obtained by a core needle biopsy.
3. A method according to claim 1 wherein step b) comprises determining if a plurality of specific genes selected from a specific panel of marker genes are overexpressed in said colon cells.
4. A method according to claim 3 wherein step c) comprises determining that said colon cells are cancerous if said plurality of specific genes selected from said specific panel of marker genes are overexpressed in said colon cells.
5. A method according to claim 1 wherein step b) comprises determining if a plurality of specific genes selected from a selected panel of marker genes are underexpressed in said colon cells.
6. A method according to claim 5 wherein step c) comprises determining that said colon cells are cancerous if said plurality of specific genes selected from said specific panel of marker genes are underexpressed in said colon cells.
7. A method according to claim 1 wherein said at least one gene is selected from a group comprising :
Figure imgf000018_0001
Figure imgf000019_0001
Figure imgf000020_0001
8. A method according to claim 3 wherein said specific panel of marker genes comprises:
Figure imgf000021_0001
Figure imgf000022_0001
9. A method according to claim 5 wherein said specific panel of marker genes comprises:
Figure imgf000022_0002
Figure imgf000023_0001
Figure imgf000024_0001
10. Use of at least one marker gene for identifying cancerous colon tissue, an overexpression or underexpression of said at least one marker gene in colon tissue compared to an expression of said at least one marker gene in normal colon tissue being indicative of cancerous colon tissue.
11. A use according to claim 10 wherein an overexpression of said at least one marker gene is indicative of a presence of cancerous colon tissue, said at least one marker gene being selected from a group comprising:
Figure imgf000024_0002
Figure imgf000025_0001
Figure imgf000026_0001
12. A use according to claim 10 wherein an underexpression of said at least one marker gene is indicative of a presence of cancerous colon tissue, said at least one marker gene being selected from a group comprising:
Figure imgf000026_0002
Figure imgf000027_0001
13. A method of diagnosing colon cancer, the method comprising: a) obtaining colon tissue to be diagnosed; b) determining if specific marker genes are overexpressed or underexpressed in said colon tissue to be diagnosed compared to non-cancerous colon tissue; c) determining if said colon tissue to be diagnosed is cancerous based on an underexpression or overexpression of said specific marker genes.
14. A method according to claim 13 wherein said colon tissue is obtained by a core needle biopsy.
15. A method according to claim 13 wherein said specific marker genes are selected from a group comprising:
Figure imgf000028_0001
Figure imgf000029_0001
Figure imgf000030_0001
Figure imgf000031_0001
16. A method according to claim 15 wherein step b) comprises determining if a subset of said marker genes are overexpressed in said colon tissue to be diagnosed, the subset comprising:
Figure imgf000031_0002
Figure imgf000032_0001
Figure imgf000033_0001
17. A method according to claim 15 wherein step b) comprises determining if a subset of said marker genes are underexpressed in said colon tissue, the subset comprising:
Figure imgf000033_0002
Figure imgf000034_0001
18. A method according to claim 1 wherein said colon cells are obtained from at least one stool sample.
19. A method according to claim 13 wherein said colon tissue are obtained from at least one stool sample.
PCT/CA2007/001408 2006-08-23 2007-08-15 Molecular method for diagnosis of colon cancer WO2008022432A1 (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2169078A1 (en) * 2008-09-26 2010-03-31 Fundacion Gaiker Methods and kits for the diagnosis and the staging of colorectal cancer
EP2657352A3 (en) * 2007-10-23 2014-01-22 Clinical Genomics Pty Ltd A method of diagnosing neoplasms - II

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2005095978A1 (en) * 2004-03-30 2005-10-13 Roche Diagnostics Gmbh Pyrroline-5-carboxylate reductase as a marker for colorectal concer

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
AHMED F.E.: "Development of novel diagnostic and prognostic molecular markers for sporadic colon cancer", EXPERT REVIEW OF MOLECULAR DIAGNOSTICS, vol. 5, no. 3, May 2005 (2005-05-01), pages 337 - 352, XP008104322 *
MAGLIERRA R. ET AL.: "Selection of relevant genes in cancer diagnosis based on their prediction acciracy", ARTIFICATIAL INTELLEIGENCE IN MEDICINE, vol. 40, May 2007 (2007-05-01), pages 29 - 44, XP022051728 *
See also references of EP2059607A4 *

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2657352A3 (en) * 2007-10-23 2014-01-22 Clinical Genomics Pty Ltd A method of diagnosing neoplasms - II
EP2169078A1 (en) * 2008-09-26 2010-03-31 Fundacion Gaiker Methods and kits for the diagnosis and the staging of colorectal cancer
WO2010034794A2 (en) * 2008-09-26 2010-04-01 Universidad Del País Vasco Methods and kits for the diagnosis and the staging of colorectal cancer
WO2010034794A3 (en) * 2008-09-26 2010-06-24 Universidad Del País Vasco Methods and kits for the diagnosis and the staging of colorectal cancer

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