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BackgroundMany methodologies have been used in research to identify the “intrinsic” subtypes of breast cancer commonly known as Luminal A, Luminal B, HER2-Enriched (HER2-E) and Basal-like. The PAM50 gene set is often used for gene expression-based subtyping; however, surrogate subtyping using panels of immunohistochemical (IHC) markers are still widely used clinically. Discrepancies between these methods may lead to different treatment decisions.MethodsWe used the PAM50 RT-qPCR assay to expression profile 814 tumors from the GEICAM/9906 phase III clinical trial that enrolled women with locally advanced primary invasive breast cancer. All samples were scored at a single site by IHC for estrogen receptor (ER), progesterone receptor (PR), and Her2/neu (HER2) protein expression. Equivocal HER2 cases were confirmed by chromogenic in situ hybridization (CISH). Single gene scores by IHC/CISH were compared with RT-qPCR continuous gene expression values and “intrinsic” subtype assignment by the PAM50. High, medium, and low expression for ESR1, PGR, ERBB2, and proliferation were selected using quartile cut-points from the continuous RT-qPCR data across the PAM50 subtype assignments.ResultsESR1, PGR, and ERBB2 gene expression had high agreement with established binary IHC cut-points (area under the curve (AUC) ≥ 0.9). Estrogen receptor positivity by IHC was strongly associated with Luminal (A and B) subtypes (92%), but only 75% of ER negative tumors were classified into the HER2-E and Basal-like subtypes. Luminal A tumors more frequently expressed PR than Luminal B (94% vs 74%) and Luminal A tumors were less likely to have high proliferation (11% vs 77%). Seventy-seven percent (30/39) of ER-/HER2+ tumors by IHC were classified as the HER2-E subtype. Triple negative tumors were mainly comprised of Basal-like (57%) and HER2-E (30%) subtypes. Single gene scoring for ESR1, PGR, and ERBB2 was more prognostic than the corresponding IHC markers as shown in a multivariate analysis.ConclusionsThe standard immunohistochemical panel for breast cancer (ER, PR, and HER2) does not adequately identify the PAM50 gene expression subtypes. Although there is high agreement between biomarker scoring by protein immunohistochemistry and gene expression, the gene expression determinations for ESR1 and ERBB2 status was more prognostic.

Among patients with operable breast cancer, FEC-P treatment statistically significantly reduced the risk of relapse compared with FEC as adjuvant therapy.

PURPOSE To prospectively validate the use of a simplified geriatric assessment (sGA) at diagnosis and to integrate it into a prognostic score for older patients with diffuse large B-cell lymphoma (DLBCL). METHODS We conducted the prospective Elderly Project study on patients with DLBCL older than 64 years who underwent our Fondazione Italiana Linfomi original geriatric assessment (oGA) (age, Cumulative Illness Rating Scale for Geriatrics, activities of daily living, and instrumental activities of daily living) before treatment. Treatment choice was left to the physician's discretion. The primary end point was overall survival (OS) (ClinicalTrials.gov identifier: NCT02364050 ). RESULTS We analyzed 1,163 patients (median age 76 years), with a 3-year OS of 65% (95% CI, 62 to 68). Because at multivariate analysis on oGA, age > 80 years retained an independent correlation with OS, we also developed a new, simplified version of the GA (sGA) that classifies patients as fit (55%), unfit (28%), and frail (18%) with significantly different 3-year OS of 75%, 58%, and 43%, respectively. The sGA groups, International Prognostic Index, and hemoglobin levels were independent predictors of OS and were used to build the Elderly Prognostic Index (EPI). Three risk groups were identified: low (23%), intermediate (48%), and high (29%), with an estimated 3-year OS of 87% (95% CI, 81 to 91), 69% (95% CI, 63 to 73), and 42% (95% CI, 36 to 49), respectively. The EPI was validated using an independent external series of 328 cases. CONCLUSION The Elderly Project validates sGA as an objective tool to assess fitness status and defines the new EPI to predict OS of older patients with DLBCL.