High-throughput molecular profiling of tumor samples has been used to gain insights into the biological aberrations underlying the pathogenesis of HGSC. The largest study in mapping the molecular features of HGSC was conducted by The Cancer Genome Atlas (TCGA) network, where 489 tumor samples were subjected to genomic and transcriptomic analyses [
17]. Exome sequencing detected
TP53 mutations in 96% of tumors. Interestingly, subsequent histological analysis of the
TP53 wild-type tumors in this cohort revealed differences in morphological features indicating that these tissues were not truly HGSC tumors [
18], suggesting the proportion of
TP53 mutations to be even higher than reported. This finding is consistent with other reports of ubiquitous
TP53 mutations in HGSC [
19]. Serous tubal intraepithelial carcinomas (STIC) (the precursor lesion of HGSC) and ‘p53-signature lesions’ (the hypothesized precursor of STIC) in the fallopian tube have been shown to share identical
TP53 mutations to HGSC, signifying that
TP53 mutations develop early in the HGSC carcinogenic process [
20]. Germline and somatic mutations in
BRCA1 and
BRCA2 are the next most prevalent mutations in HGSC, cumulatively present in 22% of the TCGA cohort [
16]. Seven other significantly mutated genes were identified albeit only in 2–6% of cases, demonstrating a limited mutational landscape in HGSC. In contrast, HGSC exhibits a high degree of chromosomal instability evident by extensive copy number alterations (CNAs) in each tumor and the identification of 113 significantly recurrent CNAs throughout the entire cohort [
17]. The TCGA study also revealed that half of HGSC tumors had genomic and/or epigenetic deficiencies in homologous recombination, further underscoring the role of erroneous DNA repair mechanisms in HGSC pathogenesis [
17]. Indeed, homologous repair deficiency (HRD) is a crucial determinant of platinum sensitivity in HGSC [
21]. Other frequently altered pathways in HGSC include
RB1,
PI3K/RAS,
NOTCH and
FOXM1 [
17]. In an attempt to deconvolute this vast genomic heterogeneity, Macintyre et al. [
22] have recently identified seven copy number signatures in HGSC, some of which were found to be associated with previously mentioned mutations, aberrant pathways and survival outcomes, yet larger studies are still required to validate these associations.
The profiling of mRNA expression in HGSC tumors has identified four overlapping transcriptional subtypes of HGSC: C1—mesenchmyal, C2—immunoreactive, C4—differentiated and C5—proliferative [
17,
23]. Independent studies have identified prognostic implications associated with these subtypes in which the immunoreactive subtype exhibited improved survival outcomes, whereas the mesenchymal and proliferative subtypes demonstrated the worst overall survivals [
24,
25]. Building on these consistent findings, Leong et al. [
26] have identified a gene signature consisting of 39 differentially expressed genes for classification of these subtypes. The Clinical Proteomic Tumor Analysis Consortium (CPTAC) analyzed the global proteomes of 169 HGSC tumors from the TCGA cohort [
27]. Clustering of tumors based on protein abundance revealed five subtypes, four of which demonstrated a clear resemblance to the classical transcriptomic subtypes and one novel subtype classified as stromal [
27]. Integration of proteomic and CNA data revealed that proteins associated with multiple CNAs were enriched in cell invasion/migration and immune processes, suggesting there is a functional convergence of the high degree of chromosomal instability [
27]. The low overall correlation between mRNA expression and protein expression in this investigation highlights the importance of multi-omic profiling to achieve a comprehensive understanding of molecular alterations underlying HGSC [
27].
Aside from delineating molecular heterogeneity between patients, high-throughput tumor profiling can also be used to elucidate the diversity within a tumor. Deconvolution of bulk HGSC transcriptional data has revealed that individual tumors often display multiple subtype signatures [
25], accentuating the additional layer of molecular complexity offered by intratumor heterogeneity. Albeit on a small scale, recent efforts in multiregion tumor profiling of HGSC tumors have uncovered intratumor molecular heterogeneity in both a spatial manner and temporal manner [
26,
28‐
31]. Although larger investigations are warranted to extend the generalizability of these data, these studies highlight the susceptibility of bulk subtypes to sampling bias and the potential confounding role of stromal components in tumor profiling. Additionally, in a disease characterized by extensive intraperitoneal dissemination, multiregion molecular profiling of primary tumors and metastases can be of value for discerning the biology underlying HGSC progression [
32‐
34]. Despite the loss of spatial microenvironment context, single-cell technologies can also provide insights into intratumor heterogeneity [
35,
36]. Further large-scale studies using these emerging approaches may shed light into how intratumor heterogeneity manifests in clinical outcomes such as therapeutic resistance. Overall, the spectrum of molecular differences within HGSC underscores the significance in using high-throughput approaches to further understand the biological abnormalities and translate these findings into novel biomarkers and targeted therapies.