Skip to main content
. 2019 Sep 25;10:858. doi: 10.3389/fgene.2019.00858

Table 3.

Pathway analysis results for the prostate cancer (PCa) dataset (adjusted p < 0.05).

ID Pathway % CGC genes pathfindR DAVID SPIA GSEA GSEAPreranked Brief Description
hsa04392 Hippo signaling pathway - multiple species 17.24 <0.001 The hippo pathway effector YAP regulates motility, invasion, and castration-resistant growth of prostate cancer cells (Zhang et al., 2015).
hsa03010 Ribosome 1.96 <0.001 0.425191 1 Certain ribosomal proteins are altered and may serve as putative biomarkers for prostate cancer (Arthurs et al., 2017).
hsa04012 ErbB signaling pathway 40 <0.001 0.637063484 There are interactions among the ErbB receptor network, its downstream pathways, and androgen receptor signaling (El Sheikh et al., 2003).
hsa04625 C-type lectin receptor signaling pathway 27.88 <0.001 C-type lectin receptors are emerging orchestrators of sterile inflammation and represent potential therapeutic targets in many cancers, including PCa (Chiffoleau, 2018). C-type lectins were shown to facilitate tumor metastasis (Ding et al., 2017).
hsa04010 MAPK signaling pathway 17.97 <0.001 0.282733912 0.90003437 MAPK signaling pathways act through their effects on apoptosis, survival, metastatic potential, and androgen-independent growth in prostate cancer (Rodríguez-Berriguete et al., 2012).
hsa05205 Proteoglycans in cancer 27.86 <0.001 0.02399376 Proteoglycans play roles in modulating cancer progression, invasion and metastasis (Iozzo and Sanderson, 2011).
hsa04919 Thyroid hormone signaling pathway 32.76 <0.001 0.5109672
hsa04390 Hippo signaling pathway 16.23 <0.001 0.10679672 The hippo pathway effector YAP regulates motility, invasion, and castration-resistant growth of prostate cancer cells (Zhang et al., 2015).
hsa04728 Dopaminergic synapse 11.45 <0.001 0.06897641 0.034643839
hsa04270 Vascular smooth muscle contraction 12.4 <0.001 <0.001 <0.001 0.9954409
hsa04810 Regulation of actin cytoskeleton 15.02 <0.001 0.02727598 0.033699531 Dysregulated in cancer cell migration and invasion (Yamaguchi and Condeelis, 2007).
hsa04218 Cellular senescence 25.63 <0.001 Cellular senescence may play a role in treatment resistance in PCa (Blute et al., 2017).
hsa04520 Adherens junction 31.94 <0.001 Dysregulation of the adherens junction system has particular implications in transformation and tumor invasion (Knights et al., 2012).
hsa04962 Vasopressin-regulated water reabsorption 13.64 <0.001 0.655412336
hsa04310 Wnt signaling pathway 17.72 <0.001 0.14714863 0.174150166 Wnt signaling is implicated in PCa biology (Murillo-Garzon and Kypta, 2017).
hsa04151 PI3K-Akt signaling pathway 21.47 <0.001 Activation of PI3K-Akt signaling pathway promotes prostate cancer cell invasion (Shukla et al., 2007).
hsa04921 Oxytocin signaling pathway 13.16 <0.001 0.09939094 Oxytocin signaling has a role in prostate cancer metastasis (Zhong et al., 2010).
hsa04144 Endocytosis 11.48 <0.001 0.14183304 Defective vesicular trafficking of growth factor receptors, as well as unbalanced recycling of integrin- and cadherin-based adhesion complexes, has emerged as a multifaceted hallmark of malignant cells (Mosesson et al., 2008).
hsa04928 Parathyroid hormone synthesis, secretion and action 20.75 <0.001
hsa04931 Insulin resistance 14.81 <0.001 0.44248049 Men in the highest tertile of insulin resistance (IR) had an increased risk of prostate cancer, indicating a potential pathogenetic link of IR with prostate cancer (Hsing et al., 2003).
hsa05170 Human immunodeficiency virus 1 infection 16.98 <0.001
hsa04071 Sphingolipid signaling pathway 18.64 <0.001 Sphingolipids are modulators of cancer cell death and represent potential therapeutic targets (Segui et al., 2006; Shaw et al., 2018).
hsa04510 Focal adhesion 19.1 <0.001 0.01182864 0.003797795 Cancer cells exhibit highly altered focal adhesion dynamics (Maziveyi and Alahari, 2017).
hsa04014 Ras signaling pathway 18.1 <0.001 Ras signaling plays an important role in prostate cancer progression and is a possibly mediator of hormone resistance (Weber and Gioeli, 2004; Whitaker and Neal, 2010).
hsa04140 Autophagy - animal 17.19 <0.001 0.91466497 0.7367432 Autophagy is a modulator of PCa biology and is a therapeutic target (Farrow et al., 2014).
hsa04360 Axon guidance 14.36 <0.001 0.36615434 0.174150166
hsa04910 Insulin signaling pathway 18.98 <0.001 0.592610905 Insulin signaling has crucial roles in cell proliferation and death. Insulin receptors were detected on primary human prostate cancers (Cox et al., 2009; Bertuzzi et al., 2016).
hsa05132 Salmonella infection 8.14 0.001024926 0.884388639
hsa04261 Adrenergic signaling in cardiomyocytes 11.81 0.001251519 0.1359051
hsa05213 Endometrial cancer 60.34 0.001571998 0.889535144 0.9776995 0.9350631
hsa05211 Renal cell carcinoma 44.93 0.001704596 0.958690885
hsa05200 Pathways in cancer 26.81 0.001864931 0.44205232 0.592610905 “Meta”-pathway of cancer pathways.
hsa05214 Glioma 44 0.00191144 0.678606672
hsa04110 Cell cycle 23.39 0.00200072 0.53576482 0.73860705 Dysregulation of the cell cycle is implicated in the biology of many cancers, including PCa (Hartwell and Kastan, 1994; Collins et al., 1997; Balk and Knudsen, 2008).
hsa05410 Hypertrophic cardiomyopathy (HCM) 6.02 0.002088682 0.01508581 0.94539815
hsa05202 Transcriptional misregulation in cancer 44.09 0.002227785 0.909985754 Core cancer pathway.
hsa04068 FoxO signaling pathway 29.55 0.00256445 FOXO signaling is implicated and considered as a therapeutic target in many cancers, including PCa (Farhan et al., 2017).
hsa04620 Toll-like receptor signaling pathway 14.42 0.002757387 0.999737262 1 TLRs may serve as a double-edged sword in prostate cancer tumorigenesis by promoting malignant transformation of epithelial cells and tumor growth, or on the contrary, inducing apoptosis, and inhibiting tumor progression (Zhao et al., 2014).
hsa05414 Dilated cardiomyopathy (DCM) 8.89 0.002884316 0.00445895 0.00145624 0.9310661
hsa05224 Breast cancer 31.29 0.002996465
hsa04340 Hedgehog signaling pathway 21.28 0.003701704 0.603911642 Hedgehog signaling plays an important role in the development and progression of PCa (Gonnissen et al., 2013).
hsa05215 Prostate cancer 51.55 0.004678127 0.637063484 The pathway of the disease.
hsa04211 Longevity regulating pathway 25.84 0.004704898
hsa04022 cGMP-PKG signaling pathway 11.04 0.004947514 0.00142051 cGMP-PKG signaling inhibits cell proliferation and induces apoptosis (Fajardo et al., 2014).
hsa05032 Morphine addiction 4.4 0.005138281 0.37736294 0.174150166
hsa04550 Signaling pathways regulating pluripotency of stem cells 31.65 0.00540706
hsa04912 GnRH signaling pathway 19.35 0.005600378 0.37736294 0.340227111 0.9284794 GnRH signaling has roles in cancer cell proliferation and metastasis in many cancers, including PCa (Gründker and Emons, 2017).
hsa05165 Human papillomavirus infection 19.09 0.005787239 HPV infection is associated with increasing risk of PCa, indicating a potential pathogenetic link between HPV and prostate cancer (Yin et al., 2017).
hsa05012 Parkinson disease 6.34 0.005882045 0.895565575
hsa04070 Phosphatidylinositol signaling system 6.06 0.007170858 0.47255633 0.592215095 Deregulation PI3 kinase signaling is implicated in prostate carcinogenesis (Elfiky and Jiang, 2013).
hsa04750 Inflammatory mediator regulation of TRP channels 10.1 0.007170858 0.47255633 TRP channels have emerged as key proteins in central mechanisms of the carcinogenesis such as cell proliferation, apoptosis and migration (Gkika and Prevarskaya, 2011).
hsa04933 AGE-RAGE signaling pathway in diabetic complications 31 0.007170858
hsa05231 Choline metabolism in cancer 27.27 0.007170858 Core cancer pathway. Choline metabolites can be used as potential prognostic biomarkers for the management of prostate cancer patients (Awwad et al., 2012).
hsa04730 Long-term depression 23.33 0.007411265 0.29433246 0.228920589
hsa04152 AMPK signaling pathway 15.83 0.007412407 First identified as a master regulator of metabolism, AMPK may have numerous roles beyond metabolism. AMPK signaling can have context-dependent effects in prostate cancer (Khan and Frigo, 2017).
hsa05210 Colorectal cancer 51.16 0.007572536 0.53576482 0.8859366
hsa04660 T cell receptor signaling pathway 31.68 0.007759806 0.999737262 T-cell receptor signaling modulates control of anti-cancer immunity (Cronin and Penninger, 2007).
hsa04916 Melanogenesis 20.79 0.007759806 0.23117007 0.191012563
hsa04922 Glucagon signaling pathway 11.65 0.008383558
hsa04971 Gastric acid secretion 8 0.008625239 0.17201492 0.174150166
hsa05164 Influenza A 15.79 0.009418672 0.871606688
hsa05230 Central carbon metabolism in cancer 49.23 0.00943342 Core cancer pathway.
hsa05163 Human cytomegalovirus infection 24 0.010897057
hsa04920 Adipocytokine signaling pathway 18.84 0.011289828 0.573213367 Adipocytokines are implicated in many cancers, including PCa (Housa et al., 2006).
hsa05130 Pathogenic Escherichia coli infection 10.91 0.012638019 0.914414969
hsa05160 Hepatitis C 22.58 0.012701709 0.952731561
hsa05168 Herpes simplex infection 10.81 0.012818879 0.999737262
hsa04934 Cushing syndrome 22.73 0.012968007
hsa04662 B cell receptor signaling pathway 42.25 0.015323796 0.871606688
hsa05418 Fluid shear stress and atherosclerosis 18.71 0.016016719
hsa05216 Thyroid cancer 70.27 0.016672034 0.77019655
hsa05221 Acute myeloid leukemia 50 0.018273818 0.916809245 0.9737256 0.9253648
hsa04371 Apelin signaling pathway 13.14 0.019388476 Various apelin peptides can stimulate tumor growth and proliferation of many types of cancer cells, including PCa (Wysocka et al., 2018).
hsa05016 Huntington disease 10.88 0.019575207 0.887106943 1 0.9790702
hsa04911 Insulin secretion 11.76 0.021091491 0.02334547
hsa04917 Prolactin signaling pathway 31.43 0.021797194 Prolactin signalling promotes prostate tumorigenesis and may be targeted for therapy (Goffin et al., 2011; Sackmann-Sala and Goffin, 2015).
hsa03440 Homologous recombination 24.39 0.027879334 0.82518643 0.88681024 Homologous recombination offers a model for novel DNA repair targets and therapies in PCa (Bristow et al., 2007).
hsa04713 Circadian entrainment 10.31 0.028299959 0.11376372
hsa03013 RNA transport 5.45 0.029590861 0.887106943 Many common and specialized mRNA export factors are dysregulated in cancer (Siddiqui and Borden, 2012).
hsa04260 Cardiac muscle contraction 6.41 0.030119546 0.92371947
hsa05161 Hepatitis B 31.29 0.031074222
hsa04666 Fc gamma R-mediated phagocytosis 20.88 0.032172546 0.838868067
hsa04976 Bile secretion 4.23 0.032183139 0.77019655
hsa04024 cAMP signaling pathway 14.57 0.035154932 0.12151133 Dysregulation cAMP signaling was implicated in many cancer types, including PCa (Fajardo et al., 2014).
hsa05226 Gastric cancer 30.87 0.035466235
hsa04622 RIG-I-like receptor signaling pathway 7.14 0.036168176 0.678606672 0.998692 1
hsa04150 mTOR signaling pathway 16.45 0.03639603 0.608898009 0.97279966 0.8907857 mTOR signaling is implicated in prostate cancer progression and androgen deprivation therapy resistance (Edlind and Hsieh, 2014).
hsa04064 NF-kappa B signaling pathway 17.89 0.036565869 0.999737262 The NF-kappa B signaling pathway controls the progression of Pca (Jin et al., 2008).
hsa04970 Salivary secretion 6.67 0.038144831 0.35044831 0.228920589
hsa04658 Th1 and Th2 cell differentiation 19.57 0.040720473 T helper cells are important in cancer immunity (Knutson and Disis, 2005).
hsa04370 VEGF signaling pathway 33.9 0.043130708 0.889535144 Angiogenesis has been shown to play an important role in tumorigenesis, proliferation and metastasis in PCa. Various promising agents that target VEGF signaling have been tested (Aragon-Ching and Dahut, 2009).
hsa04725 Cholinergic synapse 18.75 0.04793374 0.13876451 0.129551973
hsa00120 Primary bile acid biosynthesis 0 0.78211117 <0.001

“ID” indicates the Kyoto Encyclopedia of Genes and Genomes (KEGG) ID for the enriched pathway, whereas “Pathway” indicates the KEGG pathway name. “% CGC genes” indicates the percentage of Cancer Gene Census (CGC) genes in the pathway. The lowest Bonferroni-adjusted p value for pathfindR analysis is provided in “pathfindR,” the false discovery rate (FDR)-adjusted p value for Database for Annotation, Visualization and Integrated Discovery (DAVID) analysis is provided in “DAVID,” the FDR-adjusted p value for Signaling Pathway Impact Analysis (SPIA) is presented in “SPIA,” and the FDR-adjusted p values for Gene Set Enrichment Analysis (GSEA) and GSEAPreranked are presented in “GSEA” and “GSEAPreranked,” respectively. Significant p values (i.e., adjusted p value < 0.05) are given in bold font. “-“ indicates the pathway was not found to be enriched by the given tool. If a pathway is relevant to PCa, a brief description of its relevance is provided in “Brief Description.”