Seeking Racial Equity in Hematology and Oncology: a Fellow-Led Educational Series to Promote Reflection and Action.

The USA is experiencing a reckoning with racial injustice and graduate medical education programs are seeking ways to address this important topic in training. Fellows in hematology/oncology at the University of North Carolina recognized this important gap and adapted a curriculum for medical residents on racial equity to a subspecialty audience. Aims were (1) to improve knowledge and awareness about implicit bias and systemic racism and (2) introduce methods to address racial inequities. We used lived experiences and collated materials from scientific literature and lay media to illustrate key points. The course explored the effects of implicit bias on individual, clinical, and health system levels, anchored in Kahneman's two-system theory. Videos, journal articles, and group discussion were employed to appeal to many learning styles. A post-curriculum survey assessed perceptions of racial inequality in medicine and the series' effects using a Likert scale. Twenty-nine participants completed the survey (12 fellows), 71% reported improved awareness of racial inequities, and 61% reported improved comfort level in addressing racial inequities. All participants recognized at least "some" racial inequity in medicine, and over 75% of participants indicated interest in further sessions. Formulation of an educational curriculum by fellows and delivered in a division-wide setting was feasible and well received by participants, filling a key educational gap. We encourage other institutions to take similar steps to highlight issues of systemic racism and move our field in the right direction.

Investigating the Deoxyribonuclease Activity of CRM197 with Site-Directed Mutagenesis.

The protein cross-reactive material 197 (CRM197) is known to catalyze the hydrolytic cleavage of DNA (DNase activity). A suspected metal-binding site (S109, T111, and E112) and suspected DNA-binding motif (T89, K90, and V91) were predicted within the CRM197 protein X-ray crystal structure (4AE0) using METSITE and DNABindProt, respectively. Between these two predicted sites is a groove (K103, E116, T120, E122, F123, and R126) that may assist in DNase activity. Alanine scanning was performed at these sites to determine which amino acids might be important for DNase activity. These mutations individually or in combination either maintained or increased the overall DNase activity compared to the unmodified CRM197. Mutation at the suspected metal-binding site showed similar fluctuations to the overall DNase activity whether the DNase assays were run with Mg2+ and Ca2+ or Mn2+. However, many of the mutations within the suspected DNA-binding motif saw significant differences depending on which metal was used. Only some of the improvements in DNase activity could be attributed to improved folding of the mutants compared to the unmodified CRM197. This study should provide a basis for further mutagenesis studies to remove the DNase activity of CRM197.

Development and clinical application of an integrative genomic approach to personalized cancer therapy.

BACKGROUND: Personalized therapy provides the best outcome of cancer care and its implementation in the clinic has been greatly facilitated by recent convergence of enormous progress in basic cancer research, rapid advancement of new tumor profiling technologies, and an expanding compendium of targeted cancer therapeutics. METHODS: We developed a personalized cancer therapy (PCT) program in a clinical setting, using an integrative genomics approach to fully characterize the complexity of each tumor. We carried out whole exome sequencing (WES) and single-nucleotide polymorphism (SNP) microarray genotyping on DNA from tumor and patient-matched normal specimens, as well as RNA sequencing (RNA-Seq) on available frozen specimens, to identify somatic (tumor-specific) mutations, copy number alterations (CNAs), gene expression changes, gene fusions, and also germline variants. To provide high sensitivity in known cancer mutation hotspots, Ion AmpliSeq Cancer Hotspot Panel v2 (CHPv2) was also employed. We integrated the resulting data with cancer knowledge bases and developed a specific workflow for each cancer type to improve interpretation of genomic data. RESULTS: We returned genomics findings to 46 patients and their physicians describing somatic alterations and predicting drug response, toxicity, and prognosis. Mean 17.3 cancer-relevant somatic mutations per patient were identified, 13.3-fold, 6.9-fold, and 4.7-fold more than could have been detected using CHPv2, Oncomine Cancer Panel (OCP), and FoundationOne, respectively. Our approach delineated the underlying genetic drivers at the pathway level and provided meaningful predictions of therapeutic efficacy and toxicity. Actionable alterations were found in 91 % of patients (mean 4.9 per patient, including somatic mutations, copy number alterations, gene expression alterations, and germline variants), a 7.5-fold, 2.0-fold, and 1.9-fold increase over what could have been uncovered by CHPv2, OCP, and FoundationOne, respectively. The findings altered the course of treatment in four cases. CONCLUSIONS: These results show that a comprehensive, integrative genomic approach as outlined above significantly enhanced genomics-based PCT strategies.

Personalized Circulating Tumor DNA Biomarkers Dynamically Predict Treatment Response and Survival In Gynecologic Cancers.

BACKGROUND: High-grade serous ovarian and endometrial cancers are the most lethal female reproductive tract malignancies worldwide. In part, failure to treat these two aggressive cancers successfully centers on the fact that while the majority of patients are diagnosed based on current surveillance strategies as having a complete clinical response to their primary therapy, nearly half will develop disease recurrence within 18 months and the majority will die from disease recurrence within 5 years. Moreover, no currently used biomarkers or imaging studies can predict outcome following initial treatment. Circulating tumor DNA (ctDNA) represents a theoretically powerful biomarker for detecting otherwise occult disease. We therefore explored the use of personalized ctDNA markers as both a surveillance and prognostic biomarker in gynecologic cancers and compared this to current FDA-approved surveillance tools. METHODS AND FINDINGS: Tumor and serum samples were collected at time of surgery and then throughout treatment course for 44 patients with gynecologic cancers, representing 22 ovarian cancer cases, 17 uterine cancer cases, one peritoneal, three fallopian tube, and one patient with synchronous fallopian tube and uterine cancer. Patient/tumor-specific mutations were identified using whole-exome and targeted gene sequencing and ctDNA levels quantified using droplet digital PCR. CtDNA was detected in 93.8% of patients for whom probes were designed and levels were highly correlated with CA-125 serum and computed tomography (CT) scanning results. In six patients, ctDNA detected the presence of cancer even when CT scanning was negative and, on average, had a predictive lead time of seven months over CT imaging. Most notably, undetectable levels of ctDNA at six months following initial treatment was associated with markedly improved progression free and overall survival. CONCLUSIONS: Detection of residual disease in gynecologic, and indeed all cancers, represents a diagnostic dilemma and a potential critical inflection point in precision medicine. This study suggests that the use of personalized ctDNA biomarkers in gynecologic cancers can identify the presence of residual tumor while also more dynamically predicting response to treatment relative to currently used serum and imaging studies. Of particular interest, ctDNA was an independent predictor of survival in patients with ovarian and endometrial cancers. Earlier recognition of disease persistence and/or recurrence and the ability to stratify into better and worse outcome groups through ctDNA surveillance may open the window for improved survival and quality and life in these cancers.