Purpose: Chromosomal translocations in the anaplastic lymphoma kinase (ALK) gene have been identified as oncogenic drivers in lung adenocarcinomas and other tumors, recently including rare cases of colorectal carcinoma. We identified a patient with refractory metastatic colorectal carcinoma harboring a STRN–ALK gene fusion who achieved an exceptional clinical benefit to the ALK inhibitor ceritinib. Our goal was to further define the clinicopathologic features of ALK-rearranged colorectal carcinoma in a large cohort. Experimental Design: Clinical cases of colorectal carcinoma evaluated by comprehensive genomic profiling (CGP) or by ALK immunohistochemistry (IHC) were reviewed retrospectively. FISH and microsatellite instability (MSI) analyses were performed. Results: Nine colorectal carcinoma cases harbored ALK gene fusions. Six cases were identified by CGP of 3,157 colorectal carcinoma (0.2%) and three by IHC of 2,980 colorectal carcinoma (0.1%). The ALK fusions involved known ALK partners EML4, C2orf44, CAD, and the novel STRN, PPP1R21, SENPF, MAPRE3, and PRKAP1B partners. These advanced-stage colorectal carcinomas lacked mutations in other oncogenic drivers, predominantly involved the proximal colon, and often exhibited MSI and mucinous phenotype. The index patient was treated with the ALK inhibitor ceritinib, resulting in a marked decrease in size of a skin metastasis, and resolution by computerized tomography of all contrast enhancing tumor. After 9 months of treatment, biopsy of progressive disease demonstrated a KRAS mutation, consistent with acquired resistance to ceritinib. Conclusions: Colorectal carcinoma harboring ALK fusions represent a rare aggressive subtype of colorectal carcinoma with distinct clinicopathologic features. This report provides the first clinical evidence that such patients may benefit from targeted monotherapy with ALK inhibitors. Clin Cancer Res; 22(15); 3831–40. ©2016 AACR.

Breast cancers represent complex ecosystem-like networks of malignant cells and their associated microenvironment. Estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2) are biomarkers ubiquitous to clinical practice in evaluating prognosis and predicting response to therapy. Recent feats in breast cancer have led to a new digital era, and advanced clinical trials have resulted in a growing number of personalized therapies with corresponding biomarkers. In this state-of-the-art review, we included the latest 10-year updated recommendations for ER, PR, and HER2, along with the most salient information on tumor-infiltrating lymphocytes (TILs), Ki-67, PD-L1, and several prognostic/predictive biomarkers at genomic, transcriptomic, and proteomic levels recently developed for selection and optimization of breast cancer treatment. Looking forward, the multi-omic landscape of the tumor ecosystem could be integrated with computational findings from whole slide images and radiomics in predictive machine learning (ML) models. These are new digital ecosystems on the road to precision breast cancer medicine.

Tumor mutational burden and immune signatures interplay in renal cell carcinoma