Citations

Abstract Background: Genomic intratumoral heterogeneity in cancers is a driving force for progression or recurrence. Availability of pure tumor cell material is critical for studying clonal evolution. In general, tumors are highly mixed with benign cells with a mean tumor cell purity of only 49%1 shown in lung squamous cell carcinoma (LSCC). Using a unique flow-sorting based approach enables us to overcome this limitation by highly enriching for tumor cells. Here, we aimed at precisely identifying different tumor populations in primary LSCC and matched distant metastases from 18 patients. Methods: Nuclei from snap-frozen and FFPE tumor specimens were extracted and subjected to flow-sorting using DNA content/ploidy as a parameter. Pan-cytokeratin (pCK) was used to differentiate diploid tumor cell populations from benign diploid stromal cells. DNA has been extracted from these individual tumor cell populations and the mutational profile and copy number status are currently being analyzed using whole exome seqeuencing (WES). Results: We successfully enriched for tumor cells with a purity of higher than 95% using the multi parameter flow-sorting approach. Besides the aneuploid tumors with higher ploidies, we discovered near-diploid tumor populations after enrichment with the pCK antibody. The pCK negative fraction consisting of stromal cells can serve as a germ line control in further downstream analysis as WES. Conclusion: The present study illustrates a unique method that allows high enrichment for tumor cells. Avoiding the dilution of DNA by benign stromal cells, together with the purity of aneuploid tumor cells, the precision of genomic analysis highly increases. At the same time, the diploid and pCK negative stromal cells can serve as a germ line control. Comprehensive genomic profiling of flow-sorted aneuploid and pCK positive diploid tumor populations represent a powerful technique to study intratumoral heterogeneity. References: 1. Zack, T. I. Pan-cancer patterns of somatic copy number alteration. Nature Genetics. 45, 10 (2013). Citation Format: Arthur Krause, Thomas Lorber, Valeria Perrina, Michael T. Barrett, Christian Ruiz, Lukas Bubendorf. Enrichment and isolation of tumor cells using a unique flow-sorting approach to decrypt intratumoral heterogeneity in matched samples of squamous cell carcinoma of the lung [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 2184.

AbstractBackgroundAlthough the prognosis of core‐binding factor (CBF) acute myeloid leukemia (AML) is better than other subtypes of AML, 30% of patients still relapse and may require allogeneic hematopoietic cell transplantation (alloHCT). However, there is no validated widely accepted scoring system to predict patient subsets with higher risk of relapse.MethodsEleven centers in the US and Europe evaluated 247 patients with t(8;21)(q22;q22).ResultsComplete remission (CR) rate was high (92.7%), yet relapse occurred in 27.1% of patients. A total of 24.7% of patients received alloHCT. The median disease‐free (DFS) and overall (OS) survival were 20.8 and 31.2 months, respectively. Age, KIT D816V mutated (11.3%) or nontested (36.4%) compared with KIT D816V wild type (52.5%), high white blood cell counts (WBC), and pseudodiploidy compared with hyper‐ or hypodiploidy were included in a scoring system (named I‐CBFit). DFS rate at 2 years was 76% for patients with a low‐risk I‐CBFit score compared with 36% for those with a high‐risk I‐CBFit score (P < 0.0001). Low‐ vs high‐risk OS at 2 years was 89% vs 51% (P < 0.0001).ConclusionsI‐CBFit composed of readily available risk factors can be useful to tailor the therapy of patients, especially for whom alloHCT is not need in CR1 (ie, patients with a low‐risk I‐CBFit score).

Objectives To investigate the impact of implementing magnetic resonance imaging (MRI) and ultrasonography fusion technology on biopsy and prostate cancer (PCa) detection rates in men presenting with clinical suspicion for PCa in the clinical practice setting. Patients and Methods We performed a review of 1 808 consecutive men referred for elevated prostate‐specific antigen (PSA) level between 2011 and 2014. The study population was divided into two groups based on whether MRI was used as a risk stratification tool. Univariable and multivariable analyses of biopsy rates and overall and clinically significant PCa detection rates between groups were performed. Results The MRI and PSA‐only groups consisted of 1 020 and 788 patients, respectively. A total of 465 patients (45.6%) in the MRI group and 442 (56.1%) in the PSA‐only group underwent biopsy, corresponding to an 18.7% decrease in the proportion of patients receiving biopsy in the MRI group ( P < 0.001). Overall PCa (56.8% vs 40.7%; P < 0.001) and clinically significant PCa detection (47.3% vs 31.0%; P < 0.001) was significantly higher in the MRI vs the PSA‐only group. In logistic regression analyses, the odds of overall PCa detection (odds ratio [OR] 1.74, 95% confidence interval [CI] 1.29–2.35; P < 0.001) and clinically significant PCa detection (OR 2.04, 95% CI 1.48–2.80; P < 0.001) were higher in the MRI than in the PSA‐only group after adjusting for clinically relevant PCa variables. Conclusion Among men presenting with clinical suspicion for PCa, addition of MRI increases detection of clinically significant cancers while reducing prostate biopsy rates when implemented in a clinical practice setting.

Abstract Quantifying lymph nodes in vascularized lymph node transfer (VLNT) has been performed using preoperative percutaneous ultrasound. The higher resolution and accuracy of intraoperative ultrasound (IOUS) over transcutaneous ultrasound has been demonstrated in the radiology literature for the identification and characterization of finer structures including hepatic lesions, pancreatic lesions, and biliary or pancreatic ducts. We hypothesize that IOUS during VLNT would be a superior method to quantify and map lymph nodes in our flaps. A prospectively collected database of patients undergoing VLNT over 3 years (October 2014 to October 2017) was reviewed. Patients who underwent IOUS during flap harvest, before pedicle ligation to simultaneously map and quantify the number of lymph nodes were included in the study. Twenty-one patients with an average age of 58.7 years and a mean BMI of 32.3 underwent VLNT with IOUS for chronic lymphedema during the study period. Extremity lymphedema was classified as Campisi IB (n = 7), IIA (n = 7), IIB (n = 5), and IIIA (n = 2). There were 14 superficial circumflex iliac artery flaps, including 4 performed concomitantly with a deep inferior epigastric perforator flap, 1 transverse cervical artery flap, and 6 omental flaps. The average number of lymph nodes transferred per IOUS was 4.3 for superficial circumflex iliac artery flaps, 4 for the transverse cervical artery flap, and 5.2 for the omental flaps. Intraoperative ultrasound allows the lymphatic surgeon to precisely map the location of lymph nodes which can guide intraoperative decision making. As there is no data correlating the number of lymph nodes transferred and outcomes after VLNT, developing a precise intraoperative quantification method is important.

Abstract Large-scale genome-wide association studies (GWAS) have identified approximately 35 loci associated with epithelial ovarian cancer (EOC) risk. The majority of GWAS-identified disease susceptibility variants are located in noncoding regions, and causal genes underlying these associations remain largely unknown. Here, we performed a transcriptome-wide association study to search for novel genetic loci and plausible causal genes at known GWAS loci. We used RNA sequencing data (68 normal ovarian tissue samples from 68 individuals and 6,124 cross-tissue samples from 369 individuals) and high-density genotyping data from European descendants of the Genotype-Tissue Expression (GTEx V6) project to build ovarian and cross-tissue models of genetically regulated expression using elastic net methods. We evaluated 17,121 genes for their cis-predicted gene expression in relation to EOC risk using summary statistics data from GWAS of 97,898 women, including 29,396 EOC cases. With a Bonferroni-corrected significance level of P &lt; 2.2 × 10−6, we identified 35 genes, including FZD4 at 11q14.2 (Z = 5.08, P = 3.83 × 10−7, the cross-tissue model; 1 Mb away from any GWAS-identified EOC risk variant), a potential novel locus for EOC risk. All other 34 significantly associated genes were located within 1 Mb of known GWAS-identified loci, including 23 genes at 6 loci not previously linked to EOC risk. Upon conditioning on nearby known EOC GWAS-identified variants, the associations for 31 genes disappeared and three genes remained (P &lt; 1.47 × 10−3). These data identify one novel locus (FZD4) and 34 genes at 13 known EOC risk loci associated with EOC risk, providing new insights into EOC carcinogenesis. Significance: Transcriptomic analysis of a large cohort confirms earlier GWAS loci and reveals FZD4 as a novel locus associated with EOC risk. Cancer Res; 78(18); 5419–30. ©2018 AACR.

Significance Mechanical forces are important for normal gastrointestinal tract function. The enterochromaffin cells in the gastrointestinal epithelium have been proposed, but not previously shown, to be specialized sensors that convert forces into serotonin release, and serotonin released from these cells is important for normal gastrointestinal secretion and motility. The findings in this study show that some enterochromaffin cells are indeed mechanosensitive, and that they use mechanosensitive Piezo2 channels to generate an ionic current that is critical for the intracellular Ca 2+ increase, serotonin release, and epithelial fluid secretion.

Background and Purpose— Prediction models may help physicians to stratify patients with high and low risk for periprocedural complications or long-term stroke risk after carotid artery stenting or carotid endarterectomy. We aimed to evaluate external performance of previously published prediction models for short- and long-term outcome after carotid revascularization in patients with symptomatic carotid artery stenosis. Methods— From a literature review, we selected all prediction models that used only readily available patient characteristics known before procedure initiation. Follow-up data from 2184 carotid artery stenting and 2261 carotid endarterectomy patients from 4 randomized trials (EVA-3S [Endarterectomy Versus Angioplasty in Patients With Symptomatic Severe Carotid Stenosis], SPACE [Stent-Protected Angioplasty Versus Carotid Endarterectomy], ICSS [International Carotid Stenting Study], and CREST [Carotid Revascularization Endarterectomy Versus Stenting Trial]) were used to validate 23 short-term outcome models to estimate stroke or death risk ≤30 days after the procedure and the original outcome measure for which the model was developed. Additionally, we validated 7 long-term outcome models for the original outcome measure. Predictive performance of the models was assessed with C statistics and calibration plots. Results— Stroke or death ≤30 days after the procedure occurred in 158 (7.2%) patients after carotid artery stenting and in 84 (3.7%) patients after carotid endarterectomy. Most models for short-term outcome after carotid artery stenting (n=4) or carotid endarterectomy (n=19) had poor discriminative performance (C statistics ranging from 0.49–0.64) and poor calibration with small absolute risk differences between the lowest and highest risk groups and overestimation of risk in the highest risk groups. Long-term outcome models (n=7) had a slightly better performance with C statistics ranging from 0.59 to 0.67 and reasonable calibration. Conclusions— Current models did not reliably predict outcome after carotid revascularization in a trial population of patients with symptomatic carotid stenosis. In particular, prediction of short-term outcome seemed to be difficult. Further external validation of existing prediction models or development of new prediction models is needed before such models can be used to support treatment decisions in individual patients.