Aaron Richard Hansen

Tumour heterogeneity in the clinic

Recent therapeutic advances in oncology have been driven by the identification of tumour genotype variations between patients, called interpatient heterogeneity, that predict the response of patients to targeted treatments. Subpopulations of cancer cells with unique genomes in the same patient may exist across different geographical regions of a tumour or evolve over time, called intratumour heterogeneity. Sequencing technologies can be used to characterize intratumour heterogeneity at diagnosis, monitor clonal dynamics during treatment and identify the emergence of clinical resistance during disease progression. Genetic interpatient and intratumour heterogeneity can pose challenges for the design of clinical trials that use these data.

Refining American Joint Committee on Cancer/Union for International Cancer Control TNM Stage and Prognostic Groups for Human Papillomavirus–Related Oropharyngeal Carcinomas

PURPOSE To refine stage and prognostic group for human papillomavirus (HPV) -related nonmetastatic (M0) oropharyngeal cancer (OPC). METHODS All patients with nonmetastatic (M0) p16-confirmed OPC treated with radiotherapy with or without chemotherapy from 2000 to 2010 were included. Overall survival (OS) was compared among TNM stages for patients with HPV-related and HPV-unrelated OPC separately. For HPV-related OPC, recursive partitioning analysis (RPA) derived new RPA stages objectively. Cox regression was used to calculate adjusted hazard ratios (AHRs) to derive AHR stages. The performance of survival prediction of RPA stage and AHR stage was assessed against the current seventh edition TNM stages. Prognostic groups were derived by RPA, combining RPA stage and nonanatomic factors. RESULTS The cohort comprised 573 patients with HPV-related OPC and 237 patients with HPV-unrelated OPC, with a median follow-up of 5.1 years. Lower 5-year OS with higher TNM stage was evident for patients with HPV-unrelated OPC (stage I, II, III, and IV 5-year OS: 70%, 58%, 50%, and 30%, respectively; P = .004) but not for patients with HPV-related OPC (stage I, II, III, and IV 5-year OS: 88%, 78%, 71%, and 74%, respectively; P = .56). RPA divided HPV-related OPC into RPA-I (T1-3N0-2b), RPA-II (T1-3N2c), and RPA-III (T4 or N3; 5-year OS: 82%, 76%, and 54%, respectively; P < .001). AHR also yielded a valid classification, but RPA stage demonstrated better survival prediction. A further RPA (including RPA stage, age, and smoking pack-years [PYs]) derived the following four valid prognostic groups for survival: group I (T1-3N0-N2c_≤ 20 PY), group II (T1-3N0-N2c_> 20 PY), group III (T4 or N3_age ≤ 70), and group IVA (T4 or N3_age > 70; 5-year OS: 89%, 64%, 57%, and 40%, respectively; P < .001). CONCLUSION An RPA-based TNM stage grouping (stage I/II/III: T1-3N0-N2b/T1-3N2c/T4 or N3, with M1 as stage IV) is proposed for HPV-related OPC as a result of significantly improved survival prediction compared with the seventh edition TNM, and prognostication is further improved by an RPA-based prognostic grouping within the American Joint Committee on Cancer/Union for International Cancer Control TNM framework for HPV-related OPC.

A systematic review of immune-related adverse event reporting in clinical trials of immune checkpoint inhibitors

BACKGROUND There are limited data about the quality of immune-related adverse event (irAE) reporting in immune checkpoint inhibitor (ICI) clinical trial publications. METHODS A systematic search of citations from Medline, EMBASE and Cochrane databases identified prospective clinical trials involving ICIs in advanced solid tumors from 2003 to 2013. A 21-point quality score (QS) was adapted from the CONSORT harms extension statement. Linear regression was used to identify factors associated with quality reporting. RESULTS After a review of 2628 articles, 50 trial reports were included, with ICIs as either monotherapy (54%) or part of a combination regimen (46%). The mean QS was 11.21 points (range 3.50-17.50 points). The median grade 3/4 AE rate reported was 21% (range 0%-66%) and 29/50 (58%) trials concluded that irAEs were tolerable. Multivariate regression analysis revealed that year of publication (within last 5 years, P = 0.01) and journal impact factor >15 (P = 0.004) were associated with higher QS. Complete reporting of specific characteristics of irAEs including onset, management and reversibility were reported by 14%, 8% and 6% of studies, respectively. The incidence of grade 3/4 adverse events was higher for inhibitors against CTLA-4 compared with other immune checkpoints (P < 0.001). CONCLUSIONS The reporting of irAEs is suboptimal. A standardized reporting method of irAEs that accounts for tolerability, management and reversibility is needed and would enable a more precise evaluation of the therapeutic risk benefit ratio of ICIs.

A classification system for clinical relevance of somatic variants identified in molecular profiling of cancer

Purpose:Interpretation systems for clinical laboratory reporting of genetic variants for inherited conditions have been widely published. By contrast, there are no existing systems for interpretation and classification of somatic variants found from molecular testing of cancer.Methods:We designed an assessment protocol and classification system for somatic variants identified through next-generation sequencing molecular profiling of tumor-derived samples and applied these to a pilot dataset of somatic variants found by next-generation sequencing profiling of 158 tumor samples derived from advanced cancer patients examined at the Princess Margaret Cancer Centre.Results:We present a classification system to interpret the significance of genetic variants in molecular analysis of cancer, including the following key factors: (i) known or predicted pathogenicity of the variant; (ii) primary site and tumor histology in which the variant is found; (iii) recurrence of the variant; and (iv) evidence of clinical actionability. We used these factors to develop a five-category somatic variant classification for simplified reporting of variant interpretations to treating oncologists.Conclusion:Our somatic variant classification can be of practical value to other clinical molecular laboratories performing cancer genetic profiling by promoting consistent reporting of somatic variants and permitting harmonization of variant data among laboratories and clinical studies.Genet Med 18 2, 128–136.

Tracking the dynamics of circulating tumour cell phenotypes using nanoparticle-mediated magnetic ranking

Profiling the heterogeneous phenotypes of rare circulating tumour cells (CTCs) in whole blood is critical to unravelling the complex and dynamic properties of these potential clinical markers. This task is challenging because these cells are present at parts per billion levels among normal blood cells. Here we report a new nanoparticle-enabled method for CTC characterization, called magnetic ranking cytometry, which profiles CTCs on the basis of their surface expression phenotype. We achieve this using a microfluidic chip that successfully processes whole blood samples. The approach classifies CTCs with single-cell resolution in accordance with their expression of phenotypic surface markers, which is read out using magnetic nanoparticles. We deploy this new technique to reveal the dynamic phenotypes of CTCs in unprocessed blood from mice as a function of tumour growth and aggressiveness. We also test magnetic ranking cytometry using blood samples collected from cancer patients.

Tumour- and class-specific patterns of immune-related adverse events of immune checkpoint inhibitors: a systematic review

Background Immune checkpoint inhibitor (ICI) monoclonal antibodies (mAbs) targeting cytotoxic T-lymphocyte antigen 4 (CTLA-4), programmed cell death protein 1 (PD-1) or its ligand (PD-L1) produce unique toxicity profiles. The objective of this review was to identify patterns and incidence of immune-related adverse events (irAE) based on tumour type and ICI class. Methods Medline, EMBASE and COCHRANE databases were searched to identify prospective monotherapy trials of ICIs from 2003 to November 2015. Paired reviewers selected studies for inclusion and extracted data. Odds ratio (OR), χ2 tests and multivariable regression models were used to analyse for effect size and associations. Results We identified 48 trials (6938 patients), including 26 CTLA-4, 17 PD-1, 2 PD-L1 trials, and 3 studies tested both CTLA-4 and PD-1. Grade 3/4 irAE were more common with CTLA-4 mAbs compared with PD-1 (31% versus 10%). All grades colitis (OR 8.7, 95% CI 5.8-12.9), hypophysitis (OR 6.5, 95% CI 3.0-14.3) and rash (OR 2.0, 95% CI 1.8-2.3) were more frequent with CTLA-4 mAbs; whereas pneumonitis (OR 6.4, 95% CI 3.2-12.7), hypothyroidism (OR 4.3, 95% CI 2.9-6.3), arthralgia (OR 3.5, 95% CI 2.6-4.8) and vitiligo (OR 3.5, 95% CI 2.3-5.3) were more common with PD-1 mAbs. Comparison of irAE from the three most studied tumour types in PD-1 mAbs trials [melanoma (n = 2048), non-small-cell lung cancer (n = 1030) and renal cell carcinoma (n = 573)] showed melanoma patients had a higher frequency of gastrointestinal and skin irAE and lower frequency of pneumonitis. Discussion CTLA-4 and PD-1 mAbs have distinct irAE profiles. Different immune microenvironments may drive histology-specific irAE patterns. Other tumour-dependent irAE profiles may be identified as data emerge from ICI trials.

Epidermal Growth Factor Receptor Targeting in Head and Neck Cancer: Have We Been Just Skimming the Surface?

Despite extensive research in squamous cell carcinoma of thehead and neck (SCCHN), the epidermal growth factor receptor(EGFR)remainstheonlynonchemotherapeuticmoleculartargetthathas been successfully translated into a biologic therapy with clinicalbenefit. Targeting this transmembrane tyrosine kinase growth factorreceptor in SCCHN is an attractive and rational strategy given thatmore than 90% of these tumors overexpress EGFR. The potentialvalue of EGFR as a therapeutic target is also supported by the obser-vation that poor prognostic outcomes have been correlated with in-creased EGFR protein expression or

Immune-Related Adverse Events Associated with Immune Checkpoint Inhibitors

Immune checkpoint inhibitors (ICIs), including antibodies targeting cytotoxic T-lymphocyte-associated antigen 4 (CTLA-4) and programmed cell death protein-1 (PD-1), have shown durable treatment responses in multiple tumor types by enhancing antitumor immunity. However, removal of self-tolerance can induce autoimmunity and produce a unique immune-driven toxicity profile, termed immune-related adverse events (irAEs). As ICIs gain approval for a growing number of indications, it is imperative clinicians increase their knowledge of and ability to manage irAEs. This review examines the etiology, presentation, kinetics, and treatment of irAEs and aims to provide practical guidance for clinicians.

Early phase clinical trials to identify optimal dosing and safety

The purpose of early stage clinical trials is to determine the recommended dose and toxicity profile of an investigational agent or multi‐drug combination. Molecularly targeted agents (MTAs) and immunotherapies have distinct toxicities from chemotherapies that are often not dose dependent and can lead to chronic and sometimes unpredictable side effects. Therefore utilizing a dose escalation method that has toxicity based endpoints may not be as appropriate for determination of recommended dose, and alternative parameters such as pharmacokinetic or pharmacodynamic outcomes are potentially appealing options. Approaches to enhance safety and optimize dosing include improved preclinical models and assessment, innovative model based design and dose escalation strategies, patient selection, the use of expansion cohorts and extended toxicity assessments. Tailoring the design of phase I trials by adopting new strategies to address the different properties of MTAs is required to enhance the development of these agents. This review will focus on the limitations to safety and dose determination that have occurred in the development of MTAs and immunotherapies. In addition, strategies are proposed to overcome these challenges to develop phase I trials that can more accurately define the recommended dose and identify adverse events.

Mitosis Trumps T Stage and Proposed International Association for the Study of Lung Cancer/American Thoracic Society/European Respiratory Society Classification for Prognostic Value in Resected Stage 1 Lung Adenocarcinoma

Introduction: We investigated whether a group of pathologists could reproducibly apply the International Association for the Study of Lung Cancer/American Thoracic Society/European Respiratory Society (IASLC/ATS/ERS) classification for lung adenocarcinoma to a cohort of stage 1 tumors and whether this architectural classification and/or other parameters could demonstrate survival advantage. Methods: A total of 145 cases of 7th edition of tumor, node, metastasis stage 1 adenocarcinoma were retrospectively reviewed for predominant architectural pattern, including cribriform pattern, nuclear grade, mitotic index, and necrosis. The parameters were assessed for reproducibility and survival and using multivariate analysis, compared with stage, age, and sex. Results: The majority of tumors had a mixed architecture with the acinar pattern being the most common predominant architecture. Micropapillary and cribriform architecture were the least frequent patterns. This study demonstrated that a group of five pathologists could reproducibly apply the IASLC/ATS/ERS classification. Although there were insufficient cribriform-predominant adenocarcinomas for assessment, when the percentage of all cribriform was combined with other architectures, it was associated with a worse prognosis. The majority of the parameters assessed demonstrated significance with univariate analysis but only mitotic index, as assessed by the highest count/10 high-power fields remained significant with multivariate analysis. Conclusion: In this study of resected stage 1 primary lung adenocarcinoma, we found mitotic index to be the only independent prognostic marker. It was more closely associated with outcome than either pathologic T stage or IASLC/ATS/ERS architecture-based classification. Further validation of concordance and reproducibility in reporting mitotic index, as well as validation of prognostic significance, needs to be undertaken in independent data sets.