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pmid:23836465

Gene expression patterns unveil a new level of molecular heterogeneity in colorectal cancer.

Eva Budinska · Vlad Popovici · Sabine Tejpar · Giovanni D'Ario · Nicolas Lapique · Katarzyna Otylia Sikora · Antonio Fabio Di Narzo · Pu Yan · John Graeme Hodgson · Scott Weinrich · Fred Bosman · Arnaud Roth · Mauro Delorenzi

The Journal of pathology · 2013 doi:10.1002/path.4212

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:23836465
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science-record
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2026-11-01T15:40:03Z
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2026-11-01T22:41:58Z
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title
Gene expression patterns unveil a new level of molecular heterogeneity in colorectal cancer.
doi
10.1002/path.4212
pmid
23836465
authors array · 13 items
[0]
Eva Budinska
[1]
Vlad Popovici
[2]
Sabine Tejpar
[3]
Giovanni D'Ario
[4]
Nicolas Lapique
[5]
Katarzyna Otylia Sikora
[6]
Antonio Fabio Di Narzo
[7]
Pu Yan
[8]
John Graeme Hodgson
[9]
Scott Weinrich
[10]
Fred Bosman
[11]
Arnaud Roth
[12]
Mauro Delorenzi
journal
The Journal of pathology
year
2013
abstract
The recognition that colorectal cancer (CRC) is a heterogeneous disease in terms of clinical behaviour and response to therapy translates into an urgent need for robust molecular disease subclassifiers that can explain this heterogeneity beyond current parameters (MSI, KRAS, BRAF). Attempts to fill this gap are emerging. The Cancer Genome Atlas (TGCA) reported two main CRC groups, based on the incidence and spectrum of mutated genes, and another paper reported an EMT expression signature defined subgroup. We performed a prior free analysis of CRC heterogeneity on 1113 CRC gene expression profiles and confronted our findings to established molecular determinants and clinical, histopathological and survival data. Unsupervised clustering based on gene modules allowed us to distinguish at least five different gene expression CRC subtypes, which we call surface crypt-like, lower crypt-like, CIMP-H-like, mesenchymal and mixed. A gene set enrichment analysis combined with literature search of gene module members identified distinct biological motifs in different subtypes. The subtypes, which were not derived based on outcome, nonetheless showed differences in prognosis. Known gene copy number variations and mutations in key cancer-associated genes differed between subtypes, but the subtypes provided molecular information beyond that contained in these variables. Morphological features significantly differed between subtypes. The objective existence of the subtypes and their clinical and molecular characteristics were validated in an independent set of 720 CRC expression profiles. Our subtypes provide a novel perspective on the heterogeneity of CRC. The proposed subtypes should be further explored retrospectively on existing clinical trial datasets and, when sufficiently robust, be prospectively assessed for clinical relevance in terms of prognosis and treatment response predictive capacity. Original microarray data were uploaded to the ArrayExpress database (http://www.ebi.ac.uk/arrayexpress/) under Accession Nos E-MTAB-990 and E-MTAB-1026.
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Hierarchical clustering (complete linkage, Pearson correlation similarity measure) and dynamic cut tree 20 were used to produce gene modules (groups of genes with correlated expression)
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Biological identification of gene modules
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10
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Subtypes are characterized by distinct biological components
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Table 1
caption
Biological identification of gene modules
rows array · 24 items
[0] array · 4 items
[0]
Cluster name
[1]
Number of genes
[2]
Pathway analysis result (number of overlapping genes, p value) OR description based on literature search
[3]
Selected genes
[1] array · 4 items
[0]
1. GDC
[1]
27
[2]
Genes involved in differentiation of colon crypt and/or whose expression was reported to be affected in colorectal cancer and/or with prognostic effect in CRC
[3]
Intestinal differentiation genes: CDX245, IHH46, VAV347, ASCL235, PLAGL248 Genes reported altered in colorectal cancer with prognostic effect: PITX249, DDC50, PRLR51, SPINK152 Other genes connected to CRC: GGH–connected to CIMP+ phenotype 53 NR1I2–connected to chemoresistance 54
[2] array · 4 items
[0]
2. Chromosome 20q genes
[1]
33
[2]
Chromosome 20 (26 genes, 9.2E-34)
[3]
Other, non-20q genes: TP53RK, ANO9, NEU1, CLDN3, PRSS8
[3] array · 4 items
[0]
3. Proliferation
[1]
83
[2]
Cell cycle (36 genes, 3.0E-33) Mitosis (26 genes, 1.4E-29) Chromosome (26 genes, 2.5E-17) DNA metabolic process (20 genes, 4.9E-10) Lipid synthesis (4 genes, 5.0E-2)
[3]
Mitotic checkpoint kinases: BUB1, BUB1B Cyclins: CCNA2, CCNB2 Centromere proteins: CENPA, CENPE, CENPN Kinesins: KIF11, KIF23, KIF4A Topoisomerase II (TOP2A) Cell division cycle 2 CDC2
[4] array · 4 items
[0]
4. Colon crypt markers (secretory cells)
[1]
16
[2]
[3]
AGR255, AGR3, MUC2, SPINK456, RETNLB57, REG458
[5] array · 4 items
[0]
5. EMT/stroma
[1]
310
[2]
Extracellular region part (90 genes) 2.7E-36 Cell adhesion (57 genes) 1.2E-17 Extracellular matrix (44 genes) 5.3E-30 Collagen (16 genes) 1.2E-15 EGF-like domain (26 genes) 1.6E-12 Cell motion (33 genes) 7.2E-8 Blood vessel development (25 genes) 1.1E-8 Growth factor binding (6 genes) 6.0E-5 Frizzled related (5 genes) 6.7E-3 Cell junction organization (7 genes) 1.8E-2 WNT receptor signalling pathway (8 genes) 1.4E-1
[3]
Inhibitors of β-catenin-dependent canonical WNT: SFRP1, SFRP2, SFRP4, DKK3, FZD1,7, PRICKLE1, NXN Mesenchymal markers: N-cadherin, OB cadherin, SPARC, DDR2 EMT inducers(TFs): SNAI2, ZEB1, ZEB2, TWIST1, CDH11 ECM remodelling and invasion: MMP14, VIM ECM proteins: fibronectin 1, collagens Angiogenesis: PLAT, PLAU, NRP1, NRP2, THBS1, THBS2, THBS4 TGFs, their receptors and binding proteins: IGF1, IGFBP5, IGFBP7,TGFB, LTBP1, LTBP2, PDGFRA, PDGFRB
[6] array · 4 items
[0]
6. Unidentified
[1]
14
[2]
[3]
DUSP1, EGR2, SERPINE1
[7] array · 4 items
[0]
7 and 8. Immune response
[1]
103
[2]
Immune response (42 genes) 2.0E-28 Positive regulation of immune system process (16 genes) 4.0E-9 Antigen processing and presentation via MHC class II (6 genes) 7.5E-5 Defence response (31 genes) 3.3E-17 Chemokine signalling pathway (9 genes) 2.2E-3 Lymphocyte activation (11 genes) 2.1E-5 Regulation of programmed cell death (14 genes) 2.1E-2
[3]
Cytokines: CCL3, CXCL5, CXCL9,CXCL10, CXCL11, SPP1, LTB MHC class II: HLA-DMB, HLA-DPA1, HLA-DRA, CD74 MHC class I: HLA-F, TAP1, TAP2 Anti-apoptotic: BCL2A1, CD74, BIRC3, IFI6, TNFAIP3, TNFAIP3 Apoptotic: STAT1, XAF1 Interferon-induced proteins: IFI30, IFI16, IFI44, IFI16, IFIH1, IFIT3
[8] array · 1 item
[0]
Cluster-unassigned meta-genes with colon crypt cell markers (enterocytes/top of the crypt)
[9] array · 4 items
[0]
Meta-gene 105
[1]
6
[2]
Top of the crypt genes
[3]
FAM55A, FAM55D, MUC12 and CEACAM759, SLC26A259, SLC26A359
[10] array · 4 items
[0]
Meta-gene 144
[1]
5
[2]
Enterocytes, goblet cells markers
[3]
LOC644844, NGEF, HEPH, KRT2059, MUC2059
[11] array · 1 item
[0]
Cluster-unassigned meta-genes associated with chromosomal location 0
[12] array · 4 items
[0]
Meta-gene 81
[1]
7
[2]
Chromosome X (7 genes) 1.1E-8
[3]
CXorf15, EIF1AX, HDHD1A, MED14, PNPLA4, SCML1, SMC1A
[13] array · 4 items
[0]
Meta-gene 97
[1]
6
[2]
Chromosome 20p (5 genes) 5.0E-11
[3]
CDC25B, CSNK2A1, MRPS26, PTPRA, RP5-1022P6.2, SNRPB
[14] array · 4 items
[0]
Meta-gene 84
[1]
7
[2]
Chromosome 8 (7 genes) 5.4E-9
[3]
AGPAT5, FDFT1, GTF2E2, LONRF1, MTUS1, VPS37A, ZNF395
[15] array · 1 item
[0]
Other cluster-unassigned meta-genes
[16] array · 4 items
[0]
Meta-gene 141
[1]
5
[2]
EREG
[3]
AK3L1, ARID3A, EREG, LDLRAD3, ZBTB10
[17] array · 4 items
[0]
Meta-gene 112
[1]
6
[2]
Lipid synthesis (4 genes) 5.0E-2
[3]
DHCR7, FASN, FGFBP1, HMGCS1, IDI1, PCSK9
[18] array · 4 items
[0]
Meta-gene 95
[1]
6
[2]
Homeobox genes
[3]
HOXA10, HOXA11, HOXA13, HOXA5, HOXA7, HOXA9
[19] array · 4 items
[0]
Meta-gene 124
[1]
5
[2]
Metallothioneins
[3]
MT1E, MT1F, MT1G, MT1M, MT1X
[20] array · 4 items
[0]
Meta-gene 131
[1]
5
[2]
Disulphide bonds (5 genes) 1.7E-02
[3]
CXCL5, IL6, MMP1, MMP3, PTGS2
[21] array · 4 items
[0]
Meta-gene 143
[1]
5
[2]
Unidentified
[3]
DUSP5, ERRFI1, KLF6, MXD1, PLAUR
[22] array · 4 items
[0]
Meta-gene 80
[1]
7
[2]
Regulation of RNA metabolic process (6 genes) 4.9E-2
[3]
ATF3, C8orf4, FOS, JUNB, NR4A1, SIK1, ZFP36
[23] array · 4 items
[0]
Meta-gene 71
[1]
8
[2]
Gut development (3 genes) 3.5E-2
[3]
CCL11, CH25H, EDNRB, F2RL2, FOXF1, FOXF2, PCDH18, WNT5A
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Subtype-specific minimal gene set as identified by Elastic net
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PMC3840702
section_index
10
section_title
Subtypes are characterized by distinct biological components
row_count
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label
Table 2
caption
Subtype-specific minimal gene set as identified by Elastic net
rows array · 7 items
[0] array · 2 items
[0]
[1]
Minimal gene sets specifying a subtype
[1] array · 3 items
[0]
Subtype
[1]
Up-regulated from population mean
[2]
Down-regulated from population mean
[2] array · 3 items
[0]
A. Surface crypt-like
[1]
ADTRP, B3GNT7, CLCA1, MUC2, NR3C2, PADI2, RETNLB, STYK1
[2]
CHI3L1, FNDC1, TIMP3, SULF1
[3] array · 3 items
[0]
B. Lower crypt-like
[1]
CCDC113, CDHR1, FARP1, GPSM2, GRM8, HNF4A, IHH, KCNK5, KIAA0226L, MYRIP, PLAGL2, PRR15, QPRT, RNF43, RPS6KA3, SLC5A6, TP53RK, TSPAN6, VAV3, YAE1D1
[2]
ALOX5, BASP1, CREB3L1, CXCR4, EPB41L3, FSCN1, GFPT2, GPX8, ITPRIP, KCNMA1, KCTD12,MT1E, RARRES3, RNASE1, SGK1, SOCS3
[4] array · 3 items
[0]
C. CIMP-H-like
[1]
ANP32E, EGLN3, IDO1, PLK2, RAB27B, RARRES3, RPL22L1, TFAP2A
[2]
ATP9A, C10orf99, CXCL14, KIAA0226L
[5] array · 3 items
[0]
D. Mesenchymal
[1]
ANK2, BOC, C7, CRYAB, DCHS1, DDR2, GEM, PRICKLE1, TAGLN
[2]
HOOK1, RBM47
[6] array · 3 items
[0]
E. Mixed
[1]
CEACAM6, CXCL5, HSD11B1, IL1B, IL6, MRPS31, PI15, RAP2A, UQCC
[2]
AGR3, RAB27B, REG4
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Result of additive multivariate Cox proportional hazards model, with subtype, BRAF mutation, MSI and stagea
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pmcid
PMC3840702
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12
section_title
Subtypes and patient survival
row_count
8
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Table 3
caption
Result of additive multivariate Cox proportional hazards model, with subtype, BRAF mutation, MSI and stagea
rows array · 8 items
[0] array · 7 items
[0]
Variable
[1]
RFS HR
[2]
p
[3]
OS HR
[4]
p
[5]
SAR HR
[6]
p
[1] array · 7 items
[0]
A
[1]
0.906
[2]
0.760
[3]
1.381
[4]
0.390
[5]
1.726
[6]
0.180
[2] array · 7 items
[0]
C
[1]
0.940
[2]
0.850
[3]
1.560
[4]
0.220
[5]
3.675
[6]
0.0022*
[3] array · 7 items
[0]
D
[1]
1.688
[2]
0.0055*
[3]
2.161
[4]
0.0011*
[5]
1.906
[6]
0.014*
[4] array · 7 items
[0]
E
[1]
1.506
[2]
0.210
[3]
2.201
[4]
0.035*
[5]
2.046
[6]
0.075
[5] array · 7 items
[0]
BRAFm
[1]
1.633
[2]
0.085
[3]
2.472
[4]
0.0034*
[5]
3.361
[6]
0.00072*
[6] array · 7 items
[0]
MSI
[1]
0.478
[2]
0.044*
[3]
0.275
[4]
0.004*
[5]
0.356
[6]
0.036*
[7] array · 7 items
[0]
Stage 3
[1]
0.770
[2]
0.190
[3]
0.943
[4]
0.820
[5]
1.780
[6]
0.062*
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Summary of subtype characteristics
structure object · 5 fields
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PMC3840702
section_index
16
section_title
Discussion
row_count
7
column_count
14
table object · 8 fields
label
Table 4
caption
Summary of subtype characteristics
rows array · 7 items
[0] array · 7 items
[0]
Subtype
[1]
CRC markers and mutations
[2]
Histopathology
[3]
IHC
[4]
Median survival (months)
[5]
Clinical
[6]
Gene expression
[1] array · 13 items
[0]
MSI
[1]
BRAF
[2]
KRAS
[3]
P53
[4]
Dominant
[5]
Nuclear β-catenin at IF
[6]
OS
[7]
RFS
[8]
SAR
[9]
Site
[10]
Grade
[11]
Up-regulated
[12]
Down-regulated
[2] array · 14 items
[0]
A: Surface crypt-like
[1]
[2]
–
[3]
+
[4]
[5]
Papillary or serrated
[6]
–
[7]
NA
[8]
NA
[9]
28.9
[10]
[11]
[12]
Top colon crypt, secretory cell, metallothioneins
[13]
EMT/stroma, Wnt, CSC, Chr20q, proliferation
[3] array · 14 items
[0]
B: Lower crypt-like
[1]
–
[2]
–
[3]
[4]
[5]
Complex tubular
[6]
+
[7]
NA
[8]
NA
[9]
50.4
[10]
Left
[11]
2
[12]
Top colon crypt, proliferation, Wnt
[13]
EMT/stroma, immune, secretory cell
[4] array · 14 items
[0]
C: CIMP-H-like
[1]
+
[2]
+
[3]
[4]
–
[5]
Solid/trabecular or mucinous
[6]
–
[7]
NA
[8]
NA
[9]
6.9
[10]
Right
[11]
3
[12]
Proliferation, immune, metallothioneins
[13]
GDC, top colon crypt, Chr20q
[5] array · 14 items
[0]
D: Mesenchymal
[1]
[2]
[3]
[4]
[5]
Desmoplastic
[6]
–
[7]
NA
[8]
79.5
[9]
19.8
[10]
[11]
[12]
EMT/stroma, CSC, immune
[13]
Proliferation, secretory cell, top colon crypt, GDC, Wnt, Chr20q
[6] array · 14 items
[0]
E: Mixed
[1]
–
[2]
–
[3]
[4]
+
[5]
Complex tubular
[6]
+
[7]
NA
[8]
NA
[9]
19.6
[10]
Left
[11]
[12]
EMT/stroma, immune, top colon crypt, Chr20q, GDC, CSC
[13]
Secretory cell
locator
section[16]/table-wrap[1]#tbl4
gaps array · 4 items
[0]
asset:data:geo:E-MTAB-1026 not downloaded
[1]
asset:data:geo:E-MTAB-1026 licence not read
[2]
asset:data:geo:E-MTAB-990 not downloaded
[3]
asset:data:geo:E-MTAB-990 licence not read
analysis object · 4 fields
state
partial
methods array · 3 items
[0] object · 10 fields
id
method-1
family
correlation_analysis
specific
pearson
label
Correlation analysis
dsl_operations array · 1 item
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pearson_r
missing_operations array · 0 items
parameters object · 0 fields
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paired_numeric_columns
evidence object · 3 fields
score
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quote
Hierarchical clustering (complete linkage, Pearson correlation similarity measure) and dynamic cut tree 20 were used to produce gene modules (groups of genes with correlated expression)
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method-2
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survival_analysis
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cox_proportional_hazards
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Survival analysis
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[0]
cox_ph
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time_to_event_with_censoring
evidence object · 3 fields
score
0.8
band
high
quote
Cox proportional hazards
[2] object · 10 fields
id
method-3
family
clustering
specific
hierarchical
label
Clustering
dsl_operations array · 1 item
[0]
hierarchical_cluster
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
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feature_matrix
evidence object · 3 fields
score
0.8
band
high
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gaps array · 1 item
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method.reader_differs_from_extractor
capability object · 3 fields
state
complete
requirements array · 1 item
[0] object · 6 fields
capability_id
capability:computational_analysis
label
Computational analysis platform
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[0]
meta_analysis
[1]
machine_learning
[2]
survival_analysis
[3]
statistical_regression
[4]
pca
[5]
molecular_docking
[6]
network_analysis
[7]
differential_expression
[8]
gwas
candidate
Automated Assays Laravel application and simulated adapters
gaps array · 0 items
readiness object · 8 fields
state
complete
tier
R1
blocked_on
nothing:replicable_now
axes object · 3 fields
method object · 5 fields
tier
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expressible
true
required_operations array · 1 item
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pearson_r
missing_operations array · 0 items
basis
The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: pearson.
capability object · 4 fields
tier
R1
capability_id
capability:computational_analysis
availability_state
owned
basis
The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here.
data object · 6 fields
tier
R1
reachable
true
accessions array · 2 items
[0]
E-MTAB-990
[1]
E-MTAB-1026
resolved_accessions array · 2 items
[0]
E-MTAB-990
[1]
E-MTAB-1026
statements array · 1 item
[0]
which were uploaded to ArrayExpress (http://www.ebi.ac.uk/arrayexpress/), under Accession Nos E-MTAB-990 and E-MTAB-1026, respectively.
basis
The paper names E-MTAB-990, E-MTAB-1026 in ArrayExpress and the accession resolves in the repository. No dataset was downloaded and no licence was read.
can_run object · 3 fields
dsl_operations array · 1 item
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pearson_r
assets array · 6 items
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source:pmid:23836465
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data:geo:E-MTAB-1026
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asset:table:pmid:23836465:1
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asset:table:pmid:23836465:2
[4]
asset:table:pmid:23836465:3
[5]
asset:table:pmid:23836465:4
steps array · 1 item
[0]
run_analysis
must_build object · 5 fields
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data_gaps array · 1 item
[0]
data:geo:E-MTAB-1026
gaps array · 0 items
review object · 5 fields
state
partial
machine_critique object · 5 fields
kind
extraction_review
reader object · 5 fields
model
MiniMax-M3.1-Flash
provider
minimax
provider_family
minimax
read_at
null
independence
same_provider
evidence_check object · 2 fields
method
verbatim
availability
null
calls
0
usage object · 0 fields
stages array · 1 item
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id
extraction
state
complete
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MiniMax-M3.1-Flash
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review.independent_reader
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review.machine_critique
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review.human_critique
execution object · 5 fields
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absent
status
not_run
mode
null
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gaps array · 1 item
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execution.not_run
provenance object · 7 fields
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id
pmid:23836465
type
paper
label
pmid:23836465
[1] object · 3 fields
id
source:pmid:23836465
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manuscript
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PMID 23836465 full text
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id
data:geo:E-MTAB-1026
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dataset
label
GEO E-MTAB-1026
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id
activity-reading-sci-2026-11-01
type
classification
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paper
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pmid:23836465
[1] object · 3 fields
id
source:pmid:23836465
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PMID 23836465 full text
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data:geo:E-MTAB-1026
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dataset
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GEO E-MTAB-1026
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agent:corpus-assay-engine
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id
activity-read-23836465
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extraction
used array · 1 item
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source:pmid:23836465
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-E-MTAB-1026
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accession_resolution
used array · 1 item
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data:geo:E-MTAB-1026
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agent:corpus-assay-engine
agents array · 2 items
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agent:corpus-assay-engine
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Corpus assay engine
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agent:minimax-reader
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MiniMax literature reader
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dsl_catalogue_fingerprint
343fb30756ba6ec3
capability_table_fingerprint
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pmid:23836465
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sha256:2791c95192b718263a4cd83a7978295c9753355a749da2aa9bd324f3415cf690
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gaps array · 9 items
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asset:data:geo:E-MTAB-1026 licence not read
[1]
asset:data:geo:E-MTAB-1026 not downloaded
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asset:data:geo:E-MTAB-990 licence not read
[3]
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execution.not_run
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method.reader_differs_from_extractor
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role
data_generation
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microarray
definition_version
99e1195c7d6f
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support_state
partial
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assay_lexicon
99e1195c7d6f
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0.93
evidence array · 1 item
[0]
tment response predictive capacity. Original microarray data were uploaded to the ArrayExpress datab
order_basis
paper_text_order:1974
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99e1195c7d6f
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99e1195c7d6f
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subtypes Figure S9Distribution of β-catenin immunoreactivity of the invasion front counts between subtype
order_basis
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Hierarchical clustering (complete linkage, Pearson correlation similarity measure) and dynamic cut tree 20 were used to produce gene modules (groups of genes with correlated expression)
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:23836465", "kind": "science-record", "revision": 8, "content_hash": "sha256:dde8273e84f4f31018b6fa6f12be482de5041b75a7cb280ae78ca58e5ca124d3", "created_at": "2026-11-01T15:40:03Z", "updated_at": "2026-11-01T22:41:58Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Gene expression patterns unveil a new level of molecular heterogeneity in colorectal cancer.", "doi": "10.1002/path.4212", "pmid": "23836465", "authors": ["Eva Budinska", "Vlad Popovici", "Sabine Tejpar", "Giovanni D'Ario", "Nicolas Lapique", "Katarzyna Otylia Sikora", "Antonio Fabio Di Narzo", "Pu Yan", "John Graeme Hodgson", "Scott Weinrich", "Fred Bosman", "Arnaud Roth", "Mauro Delorenzi"], "journal": "The Journal of pathology", "year": 2013, "abstract": "The recognition that colorectal cancer (CRC) is a heterogeneous disease in terms of clinical behaviour and response to therapy translates into an urgent need for robust molecular disease subclassifiers that can explain this heterogeneity beyond current parameters (MSI, KRAS, BRAF). Attempts to fill this gap are emerging. The Cancer Genome Atlas (TGCA) reported two main CRC groups, based on the incidence and spectrum of mutated genes, and another paper reported an EMT expression signature defined subgroup. We performed a prior free analysis of CRC heterogeneity on 1113 CRC gene expression profiles and confronted our findings to established molecular determinants and clinical, histopathological and survival data. Unsupervised clustering based on gene modules allowed us to distinguish at least five different gene expression CRC subtypes, which we call surface crypt-like, lower crypt-like, CIMP-H-like, mesenchymal and mixed. A gene set enrichment analysis combined with literature search of gene module members identified distinct biological motifs in different subtypes. The subtypes, which were not derived based on outcome, nonetheless showed differences in prognosis. Known gene copy number variations and mutations in key cancer-associated genes differed between subtypes, but the subtypes provided molecular information beyond that contained in these variables. Morphological features significantly differed between subtypes. The objective existence of the subtypes and their clinical and molecular characteristics were validated in an independent set of 720 CRC expression profiles. Our subtypes provide a novel perspective on the heterogeneity of CRC. The proposed subtypes should be further explored retrospectively on existing clinical trial datasets and, when sufficiently robust, be prospectively assessed for clinical relevance in terms of prognosis and treatment response predictive capacity. 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GDC", "27", "Genes involved in differentiation of colon crypt and/or whose expression was reported to be affected in colorectal cancer and/or with prognostic effect in CRC", "Intestinal differentiation genes: CDX245, IHH46, VAV347, ASCL235, PLAGL248 Genes reported altered in colorectal cancer with prognostic effect: PITX249, DDC50, PRLR51, SPINK152 Other genes connected to CRC: GGH–connected to CIMP+ phenotype 53 NR1I2–connected to chemoresistance 54"], ["2. Chromosome 20q genes", "33", "Chromosome 20 (26 genes, 9.2E-34)", "Other, non-20q genes: TP53RK, ANO9, NEU1, CLDN3, PRSS8"], ["3. Proliferation", "83", "Cell cycle (36 genes, 3.0E-33) Mitosis (26 genes, 1.4E-29) Chromosome (26 genes, 2.5E-17) DNA metabolic process (20 genes, 4.9E-10) Lipid synthesis (4 genes, 5.0E-2)", "Mitotic checkpoint kinases: BUB1, BUB1B Cyclins: CCNA2, CCNB2 Centromere proteins: CENPA, CENPE, CENPN Kinesins: KIF11, KIF23, KIF4A Topoisomerase II (TOP2A) Cell division cycle 2 CDC2"], ["4. Colon crypt markers (secretory cells)", "16", "", "AGR255, AGR3, MUC2, SPINK456, RETNLB57, REG458"], ["5. EMT/stroma", "310", "Extracellular region part (90 genes) 2.7E-36 Cell adhesion (57 genes) 1.2E-17 Extracellular matrix (44 genes) 5.3E-30 Collagen (16 genes) 1.2E-15 EGF-like domain (26 genes) 1.6E-12 Cell motion (33 genes) 7.2E-8 Blood vessel development (25 genes) 1.1E-8 Growth factor binding (6 genes) 6.0E-5 Frizzled related (5 genes) 6.7E-3 Cell junction organization (7 genes) 1.8E-2 WNT receptor signalling pathway (8 genes) 1.4E-1", "Inhibitors of β-catenin-dependent canonical WNT: SFRP1, SFRP2, SFRP4, DKK3, FZD1,7, PRICKLE1, NXN Mesenchymal markers: N-cadherin, OB cadherin, SPARC, DDR2 EMT inducers(TFs): SNAI2, ZEB1, ZEB2, TWIST1, CDH11 ECM remodelling and invasion: MMP14, VIM ECM proteins: fibronectin 1, collagens Angiogenesis: PLAT, PLAU, NRP1, NRP2, THBS1, THBS2, THBS4 TGFs, their receptors and binding proteins: IGF1, IGFBP5, IGFBP7,TGFB, LTBP1, LTBP2, PDGFRA, PDGFRB"], ["6. Unidentified", "14", "", "DUSP1, EGR2, SERPINE1"], ["7 and 8. Immune response", "103", "Immune response (42 genes) 2.0E-28 Positive regulation of immune system process (16 genes) 4.0E-9 Antigen processing and presentation via MHC class II (6 genes) 7.5E-5 Defence response (31 genes) 3.3E-17 Chemokine signalling pathway (9 genes) 2.2E-3 Lymphocyte activation (11 genes) 2.1E-5 Regulation of programmed cell death (14 genes) 2.1E-2", "Cytokines: CCL3, CXCL5, CXCL9,CXCL10, CXCL11, SPP1, LTB MHC class II: HLA-DMB, HLA-DPA1, HLA-DRA, CD74 MHC class I: HLA-F, TAP1, TAP2 Anti-apoptotic: BCL2A1, CD74, BIRC3, IFI6, TNFAIP3, TNFAIP3 Apoptotic: STAT1, XAF1 Interferon-induced proteins: IFI30, IFI16, IFI44, IFI16, IFIH1, IFIT3"], ["Cluster-unassigned meta-genes with colon crypt cell markers (enterocytes/top of the crypt)"], ["Meta-gene 105", "6", "Top of the crypt genes", "FAM55A, FAM55D, MUC12 and CEACAM759, SLC26A259, SLC26A359"], ["Meta-gene 144", "5", "Enterocytes, goblet cells markers", "LOC644844, NGEF, HEPH, KRT2059, MUC2059"], ["Cluster-unassigned meta-genes associated with chromosomal location 0"], ["Meta-gene 81", "7", "Chromosome X (7 genes) 1.1E-8", "CXorf15, EIF1AX, HDHD1A, MED14, PNPLA4, SCML1, SMC1A"], ["Meta-gene 97", "6", "Chromosome 20p (5 genes) 5.0E-11", "CDC25B, CSNK2A1, MRPS26, PTPRA, RP5-1022P6.2, SNRPB"], ["Meta-gene 84", "7", "Chromosome 8 (7 genes) 5.4E-9", "AGPAT5, FDFT1, GTF2E2, LONRF1, MTUS1, VPS37A, ZNF395"], ["Other cluster-unassigned meta-genes"], ["Meta-gene 141", "5", "EREG", "AK3L1, ARID3A, EREG, LDLRAD3, ZBTB10"], ["Meta-gene 112", "6", "Lipid synthesis (4 genes) 5.0E-2", "DHCR7, FASN, FGFBP1, HMGCS1, IDI1, PCSK9"], ["Meta-gene 95", "6", "Homeobox genes", "HOXA10, HOXA11, HOXA13, HOXA5, HOXA7, HOXA9"], ["Meta-gene 124", "5", "Metallothioneins", "MT1E, MT1F, MT1G, MT1M, MT1X"], ["Meta-gene 131", "5", "Disulphide bonds (5 genes) 1.7E-02", "CXCL5, IL6, MMP1, MMP3, PTGS2"], ["Meta-gene 143", "5", "Unidentified", "DUSP5, ERRFI1, KLF6, MXD1, PLAUR"], ["Meta-gene 80", "7", "Regulation of RNA metabolic process (6 genes) 4.9E-2", "ATF3, C8orf4, FOS, JUNB, NR4A1, SIK1, ZFP36"], ["Meta-gene 71", "8", "Gut development (3 genes) 3.5E-2", "CCL11, CH25H, EDNRB, F2RL2, FOXF1, FOXF2, PCDH18, WNT5A"]], "row_count": 24, "column_count": 4, "numeric_cells": 67, "header_rows": 1, "locator": "section[10]/table-wrap[1]#tbl1"}}, {"id": "asset:table:pmid:23836465:2", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:72b55ee671557f292c8468f3a705d04592828f1ae2feb1acafbf39d3448bb92a", "bytes": 1057, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[10]/table-wrap[2]#tbl2", "version": null, "note": "Subtype-specific minimal gene set as identified by Elastic net", "structure": {"pmcid": "PMC3840702", "section_index": 10, "section_title": "Subtypes are characterized by distinct biological components", "row_count": 7, "column_count": 3}, "table": {"label": "Table 2", "caption": "Subtype-specific minimal gene set as identified by Elastic net", "rows": [["", "Minimal gene sets specifying a subtype"], ["Subtype", "Up-regulated from population mean", "Down-regulated from population mean"], ["A. Surface crypt-like", "ADTRP, B3GNT7, CLCA1, MUC2, NR3C2, PADI2, RETNLB, STYK1", "CHI3L1, FNDC1, TIMP3, SULF1"], ["B. Lower crypt-like", "CCDC113, CDHR1, FARP1, GPSM2, GRM8, HNF4A, IHH, KCNK5, KIAA0226L, MYRIP, PLAGL2, PRR15, QPRT, RNF43, RPS6KA3, SLC5A6, TP53RK, TSPAN6, VAV3, YAE1D1", "ALOX5, BASP1, CREB3L1, CXCR4, EPB41L3, FSCN1, GFPT2, GPX8, ITPRIP, KCNMA1, KCTD12,MT1E, RARRES3, RNASE1, SGK1, SOCS3"], ["C. CIMP-H-like", "ANP32E, EGLN3, IDO1, PLK2, RAB27B, RARRES3, RPL22L1, TFAP2A", "ATP9A, C10orf99, CXCL14, KIAA0226L"], ["D. Mesenchymal", "ANK2, BOC, C7, CRYAB, DCHS1, DDR2, GEM, PRICKLE1, TAGLN", "HOOK1, RBM47"], ["E. Mixed", "CEACAM6, CXCL5, HSD11B1, IL1B, IL6, MRPS31, PI15, RAP2A, UQCC", "AGR3, RAB27B, REG4"]], "row_count": 7, "column_count": 3, "numeric_cells": 7, "header_rows": 2, "locator": "section[10]/table-wrap[2]#tbl2"}}, {"id": "asset:table:pmid:23836465:3", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:d5d8b1960d6a07f7b5eae7fe656da88293176601370213d216fdc3cac20547fa", "bytes": 715, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[12]/table-wrap[1]#tbl3", "version": null, "note": "Result of additive multivariate Cox proportional hazards model, with subtype, BRAF mutation, MSI and stagea", "structure": {"pmcid": "PMC3840702", "section_index": 12, "section_title": "Subtypes and patient survival", "row_count": 8, "column_count": 7}, "table": {"label": "Table 3", "caption": "Result of additive multivariate Cox proportional hazards model, with subtype, BRAF mutation, MSI and stagea", "rows": [["Variable", "RFS HR", "p", "OS HR", "p", "SAR HR", "p"], ["A", "0.906", "0.760", "1.381", "0.390", "1.726", "0.180"], ["C", "0.940", "0.850", "1.560", "0.220", "3.675", "0.0022*"], ["D", "1.688", "0.0055*", "2.161", "0.0011*", "1.906", "0.014*"], ["E", "1.506", "0.210", "2.201", "0.035*", "2.046", "0.075"], ["BRAFm", "1.633", "0.085", "2.472", "0.0034*", "3.361", "0.00072*"], ["MSI", "0.478", "0.044*", "0.275", "0.004*", "0.356", "0.036*"], ["Stage 3", "0.770", "0.190", "0.943", "0.820", "1.780", "0.062*"]], "row_count": 8, "column_count": 7, "numeric_cells": 43, "header_rows": 1, "locator": "section[12]/table-wrap[1]#tbl3"}}, {"id": "asset:table:pmid:23836465:4", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:425086c01239994e5ee2e11a1eafd440a26eb1526918e3659f88c9c6aa530e8b", "bytes": 1292, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[16]/table-wrap[1]#tbl4", "version": null, "note": "Summary of subtype characteristics", "structure": {"pmcid": "PMC3840702", "section_index": 16, "section_title": "Discussion", "row_count": 7, "column_count": 14}, "table": {"label": "Table 4", "caption": "Summary of subtype characteristics", "rows": [["Subtype", "CRC markers and mutations", "Histopathology", "IHC", "Median survival (months)", "Clinical", "Gene expression"], ["MSI", "BRAF", "KRAS", "P53", "Dominant", "Nuclear β-catenin at IF", "OS", "RFS", "SAR", "Site", "Grade", "Up-regulated", "Down-regulated"], ["A: Surface crypt-like", "", "–", "+", "", "Papillary or serrated", "–", "NA", "NA", "28.9", "", "", "Top colon crypt, secretory cell, metallothioneins", "EMT/stroma, Wnt, CSC, Chr20q, proliferation"], ["B: Lower crypt-like", "–", "–", "", "", "Complex tubular", "+", "NA", "NA", "50.4", "Left", "2", "Top colon crypt, proliferation, Wnt", "EMT/stroma, immune, secretory cell"], ["C: 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