Faculty Bibliography

BACKGROUND: The relationship between local, regional, or distant disease control (LC, RC, DC) and maximal posttreatment standardized uptake value (SUV(max)) in patients with esophageal cancer has not been elucidated. This study was initiated to explore whether a decrease in SUV on positron emission tomography-computed tomography (PET-CT) scan is associated with LC, RC, or DC in patients with esophageal carcinoma treated with definitive chemoradiotherapy. METHODS: Medical records of 40 patients with inoperable esophageal cancer treated with definitive intent and who underwent pre- and posttreatment PET-CT scans were reviewed. The histology, nodal status, tumor location, and radiotherapy (RT) dose were investigated as variables to determine a relationship between SUV(max) and LC, RC, and DC as well as disease-free survival (DFS). RESULTS: Decreased posttreatment SUV(max) on PET scan (P = .02) and increased RT dose (P = .009) were the only significant predictors of improved LC on univariate analysis. Mean RT doses in patients with no evidence of disease or with local, regional, or distant recurrences were 5,244, 4,580, 5,094, and 4,968, respectively. Decreased posttreatment SUV (P = .03) and increased RT dose (P = .008) were also associated with an improvement in DFS. Furthermore, decreased posttreatment SUV(max) correlated with an improvement in LC (hazard ratio [HR] = 1.3, 95% confidence interval [CI] = 1.03-1.6, P = .03) as well as DFS (HR = 1.3, 95% CI = 1.03-1.6, P = .03). These findings were maintained on multivariate analysis. CONCLUSIONS: Posttreatment decrease in SUV is associated with LC and DFS in esophageal cancer patients receiving definitive chemoradiotherapy. RT dose was also associated with both LC and DFS. The prognostic significance of these findings warrants prospective confirmation.

Intrinsic and acquired cellular resistance factors limit the efficacy of most targeted cancer therapeutics. Synthetic lethal screens in lower eukaryotes suggest that networks of genes closely linked to therapeutic targets would be enriched for determinants of drug resistance. We developed a protein network centered on the epidermal growth factor receptor (EGFR), which is a validated cancer therapeutic target, and used small interfering RNA screening to comparatively probe this network for proteins that regulate the effectiveness of both EGFR-targeted agents and nonspecific cytotoxic agents. We identified subnetworks of proteins influencing resistance, with putative resistance determinants enriched among proteins that interacted with proteins at the core of the network. We found that clinically relevant drugs targeting proteins connected in the EGFR network, such as protein kinase C or Aurora kinase A, or the transcriptional regulator signal transducer and activator of transcription 3 (STAT3), synergized with EGFR antagonists to reduce cell viability and tumor size, suggesting the potential for a direct path to clinical exploitation. Such a focused approach can potentially improve the coherent design of combination cancer therapies.

A core set of oncoproteins is overexpressed or functionally activated in many types of cancer, and members of this group have attracted significant interest as subjects for development of targeted therapeutics. For some oncoproteins such as EGFR/ErbB1, both small molecule and antibody agents have been developed and applied in the clinic for over a decade. Analysis of clinical outcomes has revealed an initially unexpected complexity in the response of patients to these agents. Diverse factors, including developmental lineage of the tumor progenitor cell, co-mutation or epigenetic modulation of genes encoding proteins in an extended EGFR signaling network or regulating core survival responses in individual tumors, and environmental factors including inflammatory agents and viral infection, all have been identified as modulating response to treatment with EGFR-targeted drugs. Second and third generation therapeutic strategies increasingly incorporate knowledge of cancer type-specific signaling environments, in a more personalized treatment approach. This review takes squamous cell carcinoma of the head and neck (SCCHN) as a specific example of an EGFR-involved cancer with idiosyncratic biological features that influence design of treatment modalities, with particular emphasis on commonalities and differences with other cancer types.

We report on the function of the human ortholog of Saccharomyces cerevisiae Rif1 (Rap1-interacting factor 1). Yeast Rif1 associates with telomeres and regulates their length. In contrast, human Rif1 did not accumulate at functional telomeres, but localized to dysfunctional telomeres and to telomeric DNA clusters in ALT cells, a pattern of telomere association typical of DNA-damage-response factors. After induction of double-strand breaks (DSBs), Rif1 formed foci that colocalized with other DNA-damage-response factors. This response was strictly dependent on ATM (ataxia telangiectasia mutated) and 53BP1, but not affected by diminished function of ATR (ATM- and Rad3-related kinase), BRCA1, Chk2, Nbs1, and Mre11. Rif1 inhibition resulted in radiosensitivity and a defect in the intra-S-phase checkpoint. The S-phase checkpoint phenotype was independent of Nbs1 status, arguing that Rif1 and Nbs1 act in different pathways to inhibit DNA replication after DNA damage. These data reveal that human Rif1 contributes to the ATM-mediated protection against DNA damage and point to a remarkable difference in the primary function of this protein in yeast and mammals.