title: Molecular target class is predictive of in vitro response profile.
abstract: Preclinical cellular response profiling of tumor models has become a cornerstone in the development of novel cancer therapeutics. As efforts to predict clinical efficacy using cohorts of in vitro tumor models have been successful, expansive panels of tumor-derived cell lines can recapitulate an "all comers" efficacy trial, thereby identifying which tumors are most likely to benefit from treatment. The response profile of a therapy is most often studied in isolation; however, drug treatment effect patterns in tumor models across a diverse panel of compounds can help determine the value of unique molecular target classes in specific tumor cohorts. To this end, a panel of 19 compounds was evaluated against a diverse group of cancer cell lines (n = 311). The primary oncogenic targets were a key determinant of concentration-dependent proliferation response, as a total of five of six, four of four, and five of five phosphatidylinositol 3-kinase (PI3K)/AKT/mammalian target of rapamycin (mTOR) pathway, insulin-like growth factor-I receptor (IGF-IR), and mitotic inhibitors, respectively, clustered with others of that common target class. In addition, molecular target class was correlated with increased responsiveness in certain histologies. A cohort of PI3K/AKT/mTOR inhibitors was more efficacious in breast cancers compared with other tumor types, whereas IGF-IR inhibitors more selectively inhibited growth in colon cancer lines. Finally, specific phenotypes play an important role in cellular response profiles. For example, luminal breast cancer cells (nine of nine; 100%) segregated from basal cells (six of seven; 86%). The convergence of a common cellular response profile for different molecules targeting the same oncogenic pathway substantiates a rational clinical path for patient populations most likely to benefit from treatment. Cancer Res; 70(9); 3677-86. (c)2010 AACR.
authors.affiliation: Cancer Metabolism Drug Discovery, GlaxoSmithKline, Collegeville, Pennsylvania 19426, USA.
authors.forename: Joel
authors.initials: J
authors.lastname: Greshock
authors.forename: Kurtis E
authors.initials: KE
authors.lastname: Bachman
authors.forename: Yan Y
authors.initials: YY
authors.lastname: Degenhardt
authors.forename: Junping
authors.initials: J
authors.lastname: Jing
authors.forename: Yuan H
authors.initials: YH
authors.lastname: Wen
authors.forename: Stephen
authors.initials: S
authors.lastname: Eastman
authors.forename: Elizabeth
authors.initials: E
authors.lastname: McNeil
authors.forename: Christopher
authors.initials: C
authors.lastname: Moy
authors.forename: Ronald
authors.initials: R
authors.lastname: Wegrzyn
authors.forename: Kurt
authors.initials: K
authors.lastname: Auger
authors.forename: Mary Ann
authors.initials: MA
authors.lastname: Hardwicke
authors.forename: Richard
authors.initials: R
authors.lastname: Wooster
mesh_terms: D000970:Antineoplastic Agents / Q000494:pharmacology*; D045744:Cell Line, Tumor; D004354:Drug Screening Assays, Antitumor / Q000379:methods*; D006801:Humans; D009369:Neoplasms / Q000188:drug therapy* / Q000235:genetics*; D011237:Predictive Value of Tests
chemical_list: D000970:Antineoplastic Agents