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. 2020 May 20;10:8341. doi: 10.1038/s41598-020-65119-5

Table 2.

Characterization of pan-cancer clusters of tumors after removing tissue effects.

Clusters 1 2 3 4 5 6 7 8
Clinical information Cancer type# bc c d ab ab ab bc a
Metastasis (%) 5c 4de 3e 17ab 5de 7 cd 12bc 21a
Survival time (years)* 2.2a 2.1a 2.8b 1.8a 1.5ab 1.8ab 2.2ab 2.0a
Stage (overall staging via TNM system17) IVab IVbc IIIc IVab IIIabc IIIab IIIabc IVab
Tumor-free fraction (%) 60a 70a 80b 60a 60a 60a 60a 60a
Intratumor heterogenity (%) 13ab 14ab 4d 10c 15a 12abc 14ab 9bc
Proliferation rate (norm. diff. between dividing and non-dividing cells) 0.4a 0.3a −0.4b 0.3a 0.3a 0.4a 0.4a 0.5a
Demographic information Age (years) 61a 62a 57b 60ab 60ab 61ab 62a 57b
Sex (% of females) 52ab 54a 50ab 50ab 53ab 46b 58a 41b
Genome instability rates (as deviations from normal genome) Non-silent mutation 1.8bc 2.2bc 0.7d 3.2a 2.0abc 1.7c 2.5ab 1.8bc
Aneuploidy 12a 12a 3b 10a 14a 11a 12a 10a
Homologous recombination defects 22ab 16c 8d 23ab 22abc 25a 27a 19bc
Immune infiltration (as deviations from leukocytes fraction) Th1 CD4 + cells (x102) −5.9b −5.7b −3.1a −6.6b −8.0b −6.7b −5.6b −5.8b
Th2 CD4 + cells (x102) 2.6c 2.3c 1.6c 4.2ab 5.1abc 5.4ab 5.2ab 6.1a
Th17 CD4 + cells (x102) −8.8b −7.5b 5.4a −14.7c −5.4b −4.5b −8.5b −9.0b
Activated natural killer cells (x10−2) 2bc 0.2bc 0.3a 0.3ab 0.2bc 0.1c 0.2bc 0.2bc
Lymphocytes (x10−2) 4.7bc 5.9b 4.1a 4.4bc 4.6bc 3.1bc 4.9bc 3.0c
Tumor-infiltrating lymphocytes 1.7b 1.7b 1.9a 1.7b 1.8ab 1.6b 1.8b 1.6b
Functional Classes (such as pathways and ontologies) ** DNA replication&¶,(1) −0.6d 0.6a −0.1bc 0.6a 0.4ab 0.7a −0.3c −0.2bc
Mythochondrial translation&¶,(2) 0.4d −0.3b 0.0c −0.9a 0.3 cd −1.1a 1.9e 0.5d
mir-has-615b targets▯,(3) −1.1c 0.7a −0.1b 0.7a −0.2b 0.8a −1.1c −0.1b
S phase and DNA synthesis¶,(4) −1.5 f 1.0b −0.1d 0.5c 0.3c 1.3a −0.4e −0.4e
#Cluster composition in cancer types (%).
C1 COAD (14.2), LUAD (11.7), BRCA (10.7), SKCM (8.1), SARC (7.1), READ (6.4), PRAD (4.8), ESCA (4.6), CESC (4.1), LUSC (4.1), STAD (4.1), BLCA (3.8), PAAD (3.6), TGCT (2.5), ACC (2.3), MESO (2), LIHC (1.5), UCEC (1.5), PCPG (1), HNSC (0.8), KIRC (0.3), LGG (0.3), OV (0.3), and UVM (0.3).
C2 BRCA (11.1), COAD (11.1), STAD (9.6), LUSC (7.4), LUAD (7.1), SKCM (6.1), CESC (5.6), BLCA (5.4), SARC (5.4), READ (4), ESCA (3.1), KIRP (2.5), PAAD (2.5), PRAD (2.5), PCPG (2.2), HNSC (1.7), LIHC (1.5), UVM (1.5), MESO (1.4), UCEC (1.4), ACC (1.3), KIRC (1.1), GBM (1), THYM (1), LGG (0.8), THCA (0.7), TGCT (0.6), DLBC (0.1), and LAML (0.1).
C3 THCA (16.1), PRAD (13.2), BRCA (9.3), LUAD (6.3), SKCM (4.4), BLCA (4.3), LUSC (3.9), STAD (3.8), COAD (3.4), TGCT (3.4), UCEC (3.4), PAAD (3.3), CESC (3.2), THYM (3.2), PCPG (3.1), LGG (2.5), SARC (1.7), UVM (1.6), HNSC (1.3), LIHC (1.2), KIRC (1.1), MESO (1.1), ESCA (1), GBM (1), LAML (0.9), DLBC (0.7), READ (0.5), KIRP (0.4), CHOL (0.4), UCS (0.1), ACC (0.1), and OV (0.1).
C4 SKCM (21.7), BLCA (13), CESC (9.6), LUAD (9.6), LUSC (8.7), BRCA (7.8), ESCA (4.3), UVM (4.3), MESO (3.5), HNSC (2.6), SARC (2.6), GBM (1.7), LIHC (1.7), STAD (1.7), UCEC (1.7), COAD (0.9), KIRP (0.9), PRAD (0.9), READ (0.9), TGCT (0.9), and THYM (0.9).
C5 BLCA (18.4), LUAD (15.8), CESC (10.5), SKCM (10.5), PRAD (7.9), BRCA (5.3), ESCA (5.3), STAD (5.3), COAD (2.6), GBM (2.6), HNSC (2.6), LIHC (2.6), LUSC (2.6), PAAD (2.6), PCPG (2.6), and TGCT (2.6).
C6 BRCA (31.5), LUSC (9.7), ESCA (8.6), SKCM (8.6), BLCA (8.2), STAD (6.5), LUAD (5.7), PRAD (5.7), HNSC (3.9), CESC (2.5), SARC (2.2), PAAD (1.8), GBM (0.7), LGG (0.7), UCEC (0.7), UVM (0.7), CHOL (0.4), DLBC (0.4), MESO (0.4), PCPG (0.4), READ (0.4), and TGCT (0.4).
C7 SKCM (14.7), BRCA (11.5), LUSC (11), ESCA (8.4), STAD (7.3), SARC (6.8), CESC (5.8), LUAD (5.8), UVM (4.7), BLCA (4.2), PAAD (3.1), HNSC (2.6), COAD (2.1), PRAD (2.1), LIHC (1.6), MESO (1.6), READ (1.6), UCEC (1.6), TGCT (1), DLBC (0.5), GBM (0.5), LGG (0.5), OV (0.5), and THCA (0.5).
C8 SKCM (24.8), BRCA (23.9), CESC (12.8), PCPG (6.8), BLCA (5.1), SARC (5.1), LUSC (4.3), HNSC (3.4), UCEC (2.6), COAD (1.7), ESCA (1.7), MESO (1.7), READ (1.7), TGCT (1.7), LUAD (0.9), OV (0.9), and UVM (0.9).

The clusters produced by integration of whole-genome profiles of gene expression (GE), copy number variants (CNV), and DNA methylation (METH) were characterized in terms of clinical, demographic, immune and molecular information. The table shows those variables with significant differences in at least one cluster. For each variable, different letters represent significant differences between clusters.

*Values represent median survival times by cluster. Letters represent significant differences under the log-rank test to compare the entire survival curves of each cluster.

**Databases: GO Biological process (&), miRTabrBase (), Reactome (). Functional classes significant at FDR adj. p-value < 0.05.

Overlap between our selected group of genes and databases:

(1)GINS1, POLD3, PRIM2, POLD4, PCNA, MCM8 and MCM3.

(2)MRPS26, MRPL2, MRPL51, MRPS35, MRPL16, MRPS18A, MRPS10, MRPL14, MRPL48, MRPL21 and MRPL11.

(3)PANK2, SF3B2, PCNA, HSP90AB1, NOP2, ATN1, CHD4, HOXC13, PRICKLE4, DPP3, C12ORF57, LDHB, CCND3, CCND2, STK35, RAB23, PPP6R3, IDH3B, RPS3, SIRPA, PSMF1, DNM1L, NKX2-5, PRNP, UVRAG, PPIL1, TPI1, DST, CSNK2A1, SMOX, YIPF3, DDX11, ENTPD6, MAD2L1BP, PPP2R5D, MUT, FBXL14, MRPL21, KLHL42, WNK1, RPL7L1, NCAPD2, FKBP4 and GAPDH.

(4)GINS1, POLD3, PRIM2, POLD4, PCNA, CDKN1B, CCND1, MCM8, MCM3, PSMF1 and CDC25B.