학술논문

Development and Validation of the Gene Expression Predictor of High-grade Serous Ovarian Carcinoma Molecular SubTYPE (PrOTYPE)
Document Type
article
Author
Talhouk, AlineGeorge, JoshyWang, ChenBudden, TimothyTan, Tuan ZeaChiu, Derek SKommoss, StefanSan Leong, HueiChen, StephanieIntermaggio, Maria PGilks, BlakeNazeran, Tayyebeh MVolchek, MilaElatre, WafaaBentley, Rex CSenz, JanineLum, AmyChow, VeronicaSudderuddin, HanweiMackenzie, RobertsonLeong, Samuel CYLiu, GeyiJohnson, DustinChen, BillyGroup, AOCSAlsop, JenniferBanerjee, Susana NBehrens, SabineBodelon, ClaraBrand, Alison HBrinton, LouiseCarney, Michael EChiew, Yoke-EngCushing-Haugen, Kara LCybulski, CezaryEnnis, DarrenFereday, SianFortner, Renée TGarcía-Donas, JesúsGentry-Maharaj, AleksandraGlasspool, RosalindGoranova, TeodoraGreene, Casey SHaluska, PaulHarris, Holly RHendley, JoyHernandez, Brenda YHerpel, EstherJimenez-Linan, MercedesKarpinskyj, ChloeKaufmann, Scott HKeeney, Gary LKennedy, Catherine JKöbel, MartinKoziak, Jennifer MLarson, Melissa CLester, JennyLewsley, Liz-AnneLissowska, JolantaLubiński, JanLuk, HughMacintyre, GeoffMahner, SvenMcNeish, Iain AMenkiszak, JanuszNevins, NikilynOsorio, AnaOszurek, OlegPalacios, JoséHinsley, SamanthaPearce, Celeste LPike, Malcolm CPiskorz, Anna MRay-Coquard, IsabelleRhenius, ValerieRodriguez-Antona, CristinaSharma, RaghwaSherman, Mark EDe Silva, DilriniSingh, NaveenaSinn, PeterSlamon, DennisSong, HonglinSteed, HelenStronach, Euan AThompson, Pamela JTołoczko, AleksandraTrabert, BrittonTraficante, NadiaTseng, Chiu-ChenWidschwendter, MartinWilkens, Lynne RWinham, Stacey JWinterhoff, BorisBeeghly-Fadiel, AliciaBenitez, JavierBerchuck, AndrewBrenton, James DBrown, RobertChang-Claude, Jenny
Source
Clinical Cancer Research. 26(20)
Subject
Biomedical and Clinical Sciences
Oncology and Carcinogenesis
Rare Diseases
Orphan Drug
Genetics
Ovarian Cancer
Women's Health
Cancer Genomics
Precision Medicine
Cancer
Human Genome
4.2 Evaluation of markers and technologies
Good Health and Well Being
Aged
Algorithms
Cystadenoma
Serous
Female
Gene Expression Regulation
Neoplastic
Humans
Lymphocytes
Tumor-Infiltrating
Middle Aged
Neoplasm Grading
Neoplasm Proteins
Neoplasm
Residual
Ovarian Neoplasms
Transcriptome
Oncology & Carcinogenesis
Clinical sciences
Oncology and carcinogenesis
Language
Abstract
PurposeGene expression-based molecular subtypes of high-grade serous tubo-ovarian cancer (HGSOC), demonstrated across multiple studies, may provide improved stratification for molecularly targeted trials. However, evaluation of clinical utility has been hindered by nonstandardized methods, which are not applicable in a clinical setting. We sought to generate a clinical grade minimal gene set assay for classification of individual tumor specimens into HGSOC subtypes and confirm previously reported subtype-associated features.Experimental designAdopting two independent approaches, we derived and internally validated algorithms for subtype prediction using published gene expression data from 1,650 tumors. We applied resulting models to NanoString data on 3,829 HGSOCs from the Ovarian Tumor Tissue Analysis consortium. We further developed, confirmed, and validated a reduced, minimal gene set predictor, with methods suitable for a single-patient setting.ResultsGene expression data were used to derive the predictor of high-grade serous ovarian carcinoma molecular subtype (PrOTYPE) assay. We established a de facto standard as a consensus of two parallel approaches. PrOTYPE subtypes are significantly associated with age, stage, residual disease, tumor-infiltrating lymphocytes, and outcome. The locked-down clinical grade PrOTYPE test includes a model with 55 genes that predicted gene expression subtype with >95% accuracy that was maintained in all analytic and biological validations.ConclusionsWe validated the PrOTYPE assay following the Institute of Medicine guidelines for the development of omics-based tests. This fully defined and locked-down clinical grade assay will enable trial design with molecular subtype stratification and allow for objective assessment of the predictive value of HGSOC molecular subtypes in precision medicine applications.See related commentary by McMullen et al., p. 5271.