Citations

A variety of approaches have been proposed to provide formal and informal validation of proposed surrogate markers. To achieve true clinical impact, the validation must convince both the statistical and clinical communities. In this paper, we argue that the best approach is not a single method but a multi-faceted exploration, using multiple approaches, including those that directly appeal to clinicians but with less statistical foundation and those arising from statistical considerations but more difficult to interpret clinically. We illustrate our approach using data from clinical trials in both early and advanced colorectal cancer.

The administration of adjuvant chemotherapy after resection of stage III colon cancer to prolong disease-free survival (DFS) and increase overall survival (OS) has been clinical standard since the early 1990s. Recently, 3-year DFS was recognized as surrogate endpoint for OS based on a meta-analysis of trials utilizing 5-fluorouracil as only active chemotherapy component. The standard of care in adjuvant therapy, however, has moved on to modern combination regimens including oxaliplatin, and novel targeted agents such as angiogenesis inhibitors and antibodies against epidermal growth factor receptor are currently undergoing rigorous testing in phase III adjuvant trials. For the practicing clinician, the use of surrogate endpoints to appreciate the efficacy of a specific adjuvant therapy contains various challenges, in particular, in discussions with patients. It is questionable whether 3-year DFS can still be considered an appropriate predictor of OS in complex clinical scenarios with continuous change in treatment standards in the adjuvant and palliative situation. Thus, the practicing oncologist needs to be aware of the limitations in the definition of surrogate endpoints in the adjuvant setting.

Purpose Gene expression profiling for outcome prediction of non–small-cell lung cancer (NSCLC) remains clouded by heterogeneous and unvalidated results. This study applied multivariate approaches to identify and evaluate value-added gene expression signatures in two types of NSCLC. Materials and Methods Two NSCLC oligonucleotide microarray data sets of adenocarcinoma and squamous cell carcinoma were used as training sets to select prognostic genes independent of conventional predictors. The top 50 genes from each set were used to predict the outcomes of two independent validation data sets of 84 and 91 NSCLC cases. Results Adenocarcinomas with the 50-gene signature from adenocarcinoma in both validation data sets had a 2.4-fold (95% CI, 1.3 to 4.4 and 1.0 to 5.8) increased mortality after adjustment for conventional predictors. Squamous cell carcinoma with this high-risk signature had an adjusted risk of 1.1 (95% CI, 0.4 to 3.2) in one data set and 2.5 (95% CI, 1.1 to 5.8) in another consisting of stage I tumors. Adenocarcinoma with the 50-gene signature from squamous cell carcinoma had an elevated risk of 3.5 (95% CI, 1.4 to 9.0) after adjustment for conventional predictors. Squamous cell carcinoma with this high risk signature had an adjusted risk of 1.8 (95% CI, 0.7 to 4.6). Despite the little overlap in individual genes, the two gene signatures had significant functional connectedness in molecular pathways. Conclusion Two non-overlapping but functionally related gene expression signatures provide consistently improved survival prediction for NSCLC regardless of histologic cell type. Multiple sets of genes may exist for NSCLC with predictive value, but ones with independent predictive value beyond clinical predictors will be required for clinical translation.

Abstract Background: Tyrosinemia type I (TYR 1) is a disorder causing early death if left untreated. Newborn screening (NBS) for this condition is problematic because determination of the diagnostic marker, succinylacetone (SUAC), requires a separate first-tier or only partially effective second-tier analysis based on tyrosine concentration. To overcome these problems, we developed a new assay that simultaneously determines acylcarnitines (AC), amino acids (AA), and SUAC in dried blood spots (DBS) by flow injection tandem mass spectrometry (MS/MS). Methods: We extracted 3/16-inch DBS punches with 300 μL methanol containing AA and AC stable isotope-labeled internal standards. This extract was derivatized with butanol-HCl. In parallel, we extracted SUAC from the residual filter paper with 100 μL of a 15 mmol/L hydrazine solution containing the internal standard 13C5-SUAC. We combined the derivatized aliquots in acetonitrile for MS/MS analysis of AC and AA with additional SRM experiments for SUAC (m/z 155–137) and 13C5-SUAC (m/z 160–142). Analysis time was 1.2 min. Results: SUAC was increased in retrospectively analyzed NBS samples of 11 TYR 1 patients (length of storage, 52 months to 1 week; SUAC range, 13–81 μmol/L), with Tyr concentrations ranging from 65 to 293 μmol/L in the original NBS analysis. The mean concentration of SUAC in 13 521 control DBS was 1.25 μmol/L. Conclusion: The inclusion of SUAC analysis into routine analysis of AC and AA allows for rapid and cost-effective screening for TYR 1 with no tangible risk of false-negative results.

Abstract Purpose: B-lymphocyte stimulator and a proliferation-inducing ligand regulate B-cell homeostasis and immunoglobulin production and are overexpressed in B-cell malignancies. Atacicept (TACI-Ig), a recombinant fusion protein that inhibits both B-lymphocyte stimulator and a proliferation-inducing ligand, may be a novel treatment for B-cell malignancies. Experimental Design: A phase 1, open-label, dose-escalation study of atacicept in patients with relapsed or refractory B-cell lymphoma was done. Atacicept was given s.c. weekly for 5 weeks to sequential patient cohorts at doses of 2, 4, 7, or 10 mg/kg. Patients responding or with stable disease were eligible for treatment on an extension study for up to 24 weeks or until disease progression. Results: All patients were heavily pretreated (median number of previous treatments, 5; range, 1-10), and four patients had previously received a stem cell transplant. Four patients were treated at the 2, 4, or 7 mg/kg dose levels, and three patients received 10 mg/kg of atacicept. Atacicept was well tolerated at all doses. Three adverse events with grade 3 severity were reported for one patient, including jaw pain, gastrointestinal hemorrhage, and sepsis; all were considered unrelated to atacicept. Pharmacokinetic results were nonlinear, and treatment with atacicept resulted in dose-dependent decreases in immunoglobulin concentrations. Two patients had stable disease at 8 weeks, entered the extension study, and received additional doses of atacicept with no safety or tolerability concerns. Conclusion: Atacicept at doses of up to 10 mg/kg was well tolerated and showed biological activity by decreasing immunoglobulin concentrations, although tumor responses were not observed.

Abstract Adrenocortical carcinoma (ACC) is a rare endocrine malignancy accounting for between 0.02% and 0.2% of all cancer deaths. Surgical removal offers the only current potential for cure. Unfortunately, ACC has undergone metastatic spread in 40% to 70% of patients at the time of diagnosis. Standard chemotherapy with mitotane is often ineffective with intolerable side effects. The modern molecular technology of comparative genomic hybridization allows the examination of DNA for chromosomal alterations, which can lend biological insight into cancer processes. Genomes of 25 ACC clinical samples were queried on the Agilent 44K Human Genome comparative genomic hybridization array detecting regions of chromosomal gain and loss within the tumor population. Commonly shared amplifications appearing in ≥50% of tumors at P ≤ 10−4 include regions within chromosomes 5, 7, 12, 16q, and 20. Deleted genomic regions within ACC include portions of chromosomes 1, 3p, 10q, 11, 14q, 15q, 17, and 22q. Genomic aberrations in regions associated with differential survival (P ≤ 0.05) and presence in ≥20% of tumors include amplifications of 6q, 7q, 12q, and 19p. Deletions within stratified survival groups include localized regions within 3, 8, 10p, 16q, 17q, and 19q. Statistical analysis of this genetic landscape reveals a set of chromosomal aberrations strongly associated with survival in an accumulation-dependent fashion. These regions may hold prognostic indicators and offer therapeutic targets that can be used to develop novel treatments for aggressive tumors. [Mol Cancer Ther 2008;7(2):425–31]