Efficacy and Determinants of Response to HER Kinase Inhibition in HER2-Mutant Metastatic Breast Cancer.
Lillian M SmythSarina A Piha-PaulHelen H WonAlison M SchramCristina SauraSherene LoiJanice LuGeoffrey I ShapiroDejan JuricIngrid A MayerCarlos L ArteagaMacarena I de la FuenteAdam M BrufksyIben SpanggaardMorten Mau SorensenMonica ArnedosVictor MorenoValentina BoniJoohyuk SohnLee S SchwartzbergXavier GonzalezAndres CervantesFrançois-Clement BidardAlexander N GorelickRichard B LanmanRebecca J NagyGary A UlanerSarat ChandarlapatyKomal JhaveriElena I GavrilaCatherine ZimelS Duygu SelcukluMyra MelcerAliaksandra SamoilaYanyan CaiMaurizio ScaltritiGrace MannFeng XuLisa D EliMelanie DujkaAlshad S LalaniRichard BryceJosé BaselgaBarry S TaylorDavid B SolitFunda Meric-BernstamDavid M HymanPublished in: Cancer discovery (2019)
HER2 mutations define a subset of metastatic breast cancers with a unique mechanism of oncogenic addiction to HER2 signaling. We explored activity of the irreversible pan-HER kinase inhibitor neratinib, alone or with fulvestrant, in 81 patients with HER2-mutant metastatic breast cancer. Overall response rate was similar with or without estrogen receptor (ER) blockade. By comparison, progression-free survival and duration of response appeared longer in ER+ patients receiving combination therapy, although the study was not designed for direct comparison. Preexistent concurrent activating HER2 or HER3 alterations were associated with poor treatment outcome. Similarly, acquisition of multiple HER2-activating events, as well as gatekeeper alterations, were observed at disease progression in a high proportion of patients deriving clinical benefit from neratinib. Collectively, these data define HER2 mutations as a therapeutic target in breast cancer and suggest that coexistence of additional HER signaling alterations may promote both de novo and acquired resistance to neratinib. SIGNIFICANCE: HER2 mutations define a targetable breast cancer subset, although sensitivity to irreversible HER kinase inhibition appears to be modified by the presence of concurrent activating genomic events in the pathway. These findings have implications for potential future combinatorial approaches and broader therapeutic development for this genomically defined subset of breast cancer.This article is highlighted in the In This Issue feature, p. 161.
Keyphrases
- metastatic breast cancer
- estrogen receptor
- combination therapy
- free survival
- signaling pathway
- end stage renal disease
- positive breast cancer
- chronic kidney disease
- ejection fraction
- squamous cell carcinoma
- small cell lung cancer
- machine learning
- tyrosine kinase
- locally advanced
- prognostic factors
- copy number
- electronic health record
- climate change
- breast cancer cells
- peritoneal dialysis
- wild type
- big data
- human health
- endoplasmic reticulum
- risk assessment
- transcription factor
- artificial intelligence
- genome wide
- childhood cancer
- breast cancer risk