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. 2020 Nov 11;11(3-4):122–136. doi: 10.18632/genesandcancer.206

Table 1b. Table 1b: Oncogenes in HGSOC.

GENE CHR FREQUENCY OF ALTERATION FUNCTIONS OUTCOME REF
REPORT(N) TCGA (N = 316) IN VITRO IN VIVO REPORT TCGA
AMP OV EXP (RNA/PTN) AMP OV EXP (RNA)
FOXP1 3q13 NA NA 1.9% 1.6% Cancer stem cell properties ,spheroid formation, EMT, migration & chemoresistance Knockdown reduced tumor growth NA NS [96]
FGFRL1 4p16.3 NA NA 1.9% 3.16% Cell proliferation & migration Knockdown reduced tumor growth ↓ OS NS [97]
PITX2 4q25 NA NA - 2.5% Cell proliferation, anchorage independent growth & invasion Ectopic expression induced tumors NA NS [98]
OCT4A 6p21.33 NA NA 2.5% 2.8% Cell survival, metastasis & chemoresistance Knockdown reduced tumor growth & metastasis NA NS [99]
CTHRC1 8q22.3 NA NA 8.8% 2.8% EMT Knockdown prevented the metastasis of tumors ↓ PFS & OS NS [100]
FOXM1 12p13.33 NA NA 6% 4.1% Cell proliferation, migration & invasion Knockdown reduced the tumor growth,ascites& number of tumor nodules NA NS [101]
ITGA5 12q13.13 NA 39% (107) 1.2% 5% Cell adhesiion & invasion Knockdown resulted in a decrease in the number of intra abdominal mets, reduced ascites formation, smaller tumor nodules & increased survival ↓PFS & OS NS [102]
STAT3 17q21.2 NA NA NA 0.9% Migration& Invasion Knockdown reduced tumor growth NA NS [103]
DGCR8 22q11.21 NA NA 0.9% 3.4% Proliferation, migration & invasion Knockdown reduced tumor growth NA NS [104]

The above mentioned genes are altered in <10% of patients with HGSOC

Abbreviations: N, No. of Samples; CNA, Copy number array; EXP, Overexpression of the gene at RNA level; PTN, Protein; OS, overall survival; PFS, Progression free survival; NA, Not available; NS, Not significant.

Only three genes mentioned in the tables above were identified using different techniques; RAB25 (Comparative Genomic Hydribization), RPL22L1 (Degenerate oligonucleotide-primed polymerase chain reaction), and FABP4 (in silico analysis). Other genes are reported from publications.

The genes in italic font are druggable targets based on the data from IDG (Illuminating the Druggable Genome) database (https://commonfund.nih.gov/idg/index).

The information for a specific gene and its impact on survival of the patients with HGSOC (n=316) was determined using TCGA HGSOC data set (n=316) on cBioPortal

(https://www.cBioPortal.org/) The thresholds used in the analysis were: GENE NAME: AMP & EXP >=2