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Publikacije (204)

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A. M. Hasan, P. Cremaschi, D. Wetterskog, A. Jayaram, Stephen Q. Wong, S. Williams, Anupama Pasam, A. Trigos et al.

Luigi Perelli, F. Carbone, Li Zhang, Justin K. Huang, Courtney N Le, Hania Khan, F. Citron, Edoardo Del Poggetto et al.

Chris Bailey, T. Sanderson, H. Townsley, J. Goldman, James R. M. Black, G. Young, Robert L. Goldstone, Ashley S Fowler et al.

Megan Buckley, Christina M. Kajba, N. Forrester, Chloé Terwagne, Chelsea Sawyer, S. Shepherd, Joachim De Jonghe, Phoebe Dace et al.

To maximize the impact of precision medicine approaches, it is critical to accurately identify genetic variants in cancer-associated genes with functional consequences. Yet, our knowledge of rare variants conferring clinically relevant phenotypes and the mechanisms through which they act remains highly limited. A tumor suppressor gene exemplifying the challenge of variant interpretation is VHL. VHL encodes an E3 ubiquitin ligase that regulates the cellular response to hypoxia. Germline pathogenic variants in VHL predispose patients to tumors including clear cell renal cell carcinoma (ccRCC) and pheochromocytoma, and somatic VHL mutations are frequently observed in sporadic renal cancer. Here, we optimize and apply Saturation Genome Editing (SGE) to assay nearly all possible single nucleotide variants (SNVs) across VHL’s coding sequence. To delineate mechanisms, we quantify mRNA dosage effects over time and compare effects in isogenic cell lines. Function scores for 2,268 VHL SNVs identify a core set of pathogenic alleles driving ccRCC with perfect accuracy, inform differential risk across tumor types, and reveal novel mechanisms by which variants impact function. These results have immediate utility for classifying VHL variants encountered in both germline testing and tumor profiling and illustrate how precise functional measurements can resolve pleiotropic and dosage-dependent genotype-phenotype relationships across complete genes.

A. Muinonen-Martin, R. Lee, D. Rothwell, R. Jackson, N. Smith, S.Q. Wong, Noel Kelso, C. Hewitt et al.

Despite patients with stage II melanoma being relatively high risk, contributing to 30% of melanoma-associated deaths, there remains a relatively low individual chance of melanoma recurrence. Therefore, strategies are required to better select those patients at highest risk of recurrence. We have developed assays using circulating tumour DNA (ctDNA) to detect minimal residual disease (MRD) or molecular recurrence of melanoma. Originally, the DETECTION trial was designed to perform ctDNA sampling in addition to clinical follow-up in patients with stage IIB/C melanoma. Those with ctDNA detected were randomized 1 : 1 in a double-blind fashion to continue routine follow-up with the investigators’ choice of treatment if they developed disease recurrence or were unblinded and treated with nivolumab. Since its opening, adjuvant therapy has been licensed, with trials showing approximately 6% absolute reduction in distant metastasis in stage IIB/C melanoma with 1 year of antiprogrammed cell death protein 1 therapy; however, grade 3 or 4 toxicity was observed in 16% of patients, with 25% experiencing lifelong endocrine disorders. Better enrichment of patients at high risk of recurrence, and avoiding treatment toxicity in those who do not require it, therefore remains highly relevant. As DETECTION had only started recruitment, there was opportunity to redesign it, which we present here. We have designed tumour-informed assays targeting BRAF (V600E/K/R), NRAS (G12D, Q61K/L/R) and the H-TERT promoter region (−124 and −146) mutations for ctDNA detection using droplet digital polymerase chain reaction. DETECTION has been redesigned as a phase III trial with the primary objectives of elucidating (i) whether MRD/molecular relapse following curative intent surgery can be identified earlier than clinical relapse and (ii) whether early treatment of molecular recurrence based on ctDNA detection is noninferior to adjuvant therapy in preventing distant metastasis. Patients (n = 1000) with stage IIB/C/III/IV resected BRAF/NRAS/TERT promoter mutant cutaneous melanoma, ECOG 0/1 and adequate organ function, with complete resection performed within 12 weeks and radiological/clinical disease-free status confirmed and no prior immune/targeted therapy will be included. Patients will be randomized 1 : 1 to either 1 year of adjuvant therapy (arm A) or longitudinal ctDNA monitoring (arm B) and treatment only if a local recurrence (surgery followed by 1 year of adjuvant therapy with ongoing ctDNA monitoring) or ctDNA detection (2 years of the investigators’ choice of therapy). The primary endpoint is distant metastasis-free survival. CtDNA is a useful tool to monitor for MRD/molecular relapse. The DETECTION trial will assess whether it can be used to safely monitor patients and systemically treat only those at highest risk of melanoma progression.

K. Ng, J. Boumelha, Katey S. S. Enfield, Jorge Almagro, H. Cha, O. Pich, T. Karasaki, D. Moore et al.

M. Kozinova, Alexander L. Metz, R. Uzzo, J. Franco-Barraza, M. Slifker, Jessica Peskin, Ángel Fernández Sanromán, S. Turajlic et al.

Introduction: SETD2, a histone H3-K36 trimethyltransferase, is necessary for regulation of proper intron splicing. SETD2 is frequently inactivated in kidney cancer. We hypothesized that SETD2 deficiency would cause aberrant translation of retained introns (ATaRI) that could serve as potential immunotherapeutic targets in SETD2-mutant states. Methods and Results: We detected increased presence of retained introns in SETD2-mutant vs WT tumors in two publicly available renal cell carcinoma RNA-seq data sets. We hypothesized that if intronic sequences translated into proteins, accumulation of misfolded proteins would activate the Unfolded Protein Response (UPR). The UPR pathway was strongly transcriptionally enriched as measured by GSEA, as were several immunotherapy-relevant pathways, suggesting that tumors are inflamed, possibly related to the antigenic nature of translated introns. To investigate this further, we generated Setd2-isogenic mouse renal cancer cells using CRISPR in the RENCA cell line. RNAseq followed by GSEA confirmed upregulation of UPR pathway transcriptional signature in the Setd2-null condition, supporting our observation in human tumors. Indicators of UPR activation such as cleavage of ATF6 and increase in ATF4 and Xbp1 levels in Setd2 deficient vs. unedited RENCA cells, as well as nuclear translocation of ATF6 in SETD2-mutant human kidney cancer samples validates these findings. We then measured the presence of ATaRI-derived peptides in Setd2-mutant RENCA cells using mass spectrometry, detecting 47 such peptides. Using publicly available proteomics data from one human data set, we preliminarily identified peptides translated from 151 introns that are retained in SETD2-mutant cases. Applying netMHCpan to both the human and murine data, we found that detectable ATaRI peptides were predicted to generate multiple 10-amino acid-long peptides which strongly bind to the 8 murine MHC or to the 20 most common human HLA receptors. We propose that these presentable peptides might activate an immune response to SETD2-mutant renal cell carcinoma. Conclusions: We identified intron retention which may cause activation of the UPR as a feature of SETD2-mutant kidney cancer. ATaRI peptides are detectable and should be presented to the adaptive immune system. These features may represent a new therapeutic vulnerability for exploitation as a rationale for personalized medicine. Citation Format: Marya T. Kozinova, Alexander Metz, Robert Uzzo, Janusz Franco-Barraza, Michael Slifker, Jessica Peskin, Angel Fernández Sanromán, Samra Turajlic, Edna Cukierman, Phillip Phillip Abbosh. SETD2 loss in renal cell carcinoma generates peptides from aberrantly translated retained introns. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 6794.

A. Cheng, Adam J. Widman, Anushri Arora, I. Rusinek, William Hooper, R. Murray, Daniel Halmos, Theophile Langanay et al.

In many areas of oncology, we lack sensitive tumor-burden monitoring to guide critical decision making. While circulating tumor DNA (ctDNA) promises to enable disease monitoring, this approach is limited by the sparsity of ctDNA in the plasma. To overcome this challenge, error-corrected deep targeted sequencing has been proposed. Nonetheless, this framework is limited by the low number of genomic equivalents (GEs, ~103/mL of plasma), imposing a ceiling on effective sequencing depth. We have previously shown that genome-wide mutational integration through plasma whole genome sequencing (WGS) can sever the dependency between available GEs and assay sensitivity (Zviran et al, 2020). In this approach, tumor-informed mutational profiles are applied to plasma WGS, allowing detection of tumor fractions as low as 10−5. However, the higher cost of WGS limits practical depth of coverage (20-30X) and may limit broad adoption. Lower costs may thus allow for enhanced ctDNA cancer monitoring via WGS. We therefore applied emerging lower-cost WGS (1USD/Gb, Almogy et al, 2022) to plasma from 7 patients with metastatic cancer at ~115x coverage depth. Read depth profiling and error rates were comparable between matched Ultima and standard platform datasets. Integration of deep learning architectures for signal to noise enrichment (Widman et al, biorxiv, 2022) with deeper WGS coverage enabled ctDNA detection at the parts per million range. We reasoned that lower sequencing cost can be harnessed for duplex error-corrected WGS. Proof-of-concept experiments in mouse PDX samples showed ~1,500x decrease in errors. Applied to the plasma of stage IV melanoma patients (n=5), we obtained error rates ~10−7. We used this approach to tackle the challenging context of cancer monitoring in early-stage melanoma without matched tumor sequencing. While in uncorrected WGS, de novo mutation calling yielded limited ability to detect melanoma specific mutations, duplex-corrected WGS allowed us to harness melanoma mutational signatures for disease monitoring without matched tumor profiling. Analytic validation of our assay showed sensitive and specific cancer detection when the concentration of ctDNA was at 10−4 concentrations. Applied to a cohort of stage III melanoma patients with negative ctDNA detection using previously described methods, we detected ctDNA in all cases (n=4), demonstrating enhanced sensitivity using duplex WGS. These data demonstrate the exciting potential of low cost WGS for ultra-sensitive ctDNA cancer monitoring. In the tumor-informed setting, deeper sequencing increased sensitivity for mutational profile detection. Moreover, the application of duplex error-correction at genome scale allowed for sensitive cancer monitoring without matched tumor profiles. We envision that the era of low-cost sequencing will empower ultra-sensitive cancer monitoring via WGS, with transformative impact on cancer care. Citation Format: Alexandre P. Cheng, Adam J. Widman, Anushri Arora, Itai Rusinek, William F. Hooper, Rebecca Murray, Daniel Halmos, Theophile Langanay, Giorgio Inghirami, Soren Germer, Melissa Marton, Adrienne Helland, Rob Furatero, Jaime McClintock, Lara Winterkorn, Zoe Steinsnyder, Yohyoh Wang, Srinivas Rajagopalan, Asrar I. Alimohamed, Murtaza S. Malbari, Ashish Saxena, Margaret K. Callahan, Dennie T. Frederick, Lavinia Spain, Ariel Jaimovich, Doron Lipson, Samra Turajlic, Michael C. Zody, Nasser K. Altorki, Jedd D. Wolchok, Michael A. Postow, Nicolas Robine, Genevieve Boland, Dan A. Landau. Whole genome error-corrected sequencing for sensitive circulating tumor DNA cancer monitoring. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 5709.

Mary Y. Wu, S. Shepherd, A. Fendler, E. Carr, L. Au, R. Harvey, Giulia Dowgier, Agnieszka Hobbs et al.

L. Spain, A. Coulton, Irene Lobon, A. Rowan, Desiree Schnidrig, S. Shepherd, B. Shum, F. Byrne et al.

Metastatic melanoma evolution was illustrated through research autopsy and extensive multiomic profiling and revealed the diverse routes to treatment resistance, including extensive copy-number alterations, mutations in key drivers, and extrachromosomal DNA.

Haixi Yan, C. Martin, C. English, A. Verfaillie, J. Demeulemeester, A. Rowan, A. Fendler, A. Cattin et al.

Background: The vast majority of cancer deaths can be attributed to tumor metastases. Disseminated tumor cells (DTCs) are thought to act as a reservoir of tumor clones which can lie dormant before causing overt metastases. Their presence has been shown to be a poor prognostic indicator in several tumor types. Despite their importance, the timing and source of DTCs is unclear across most solid cancers and even less is known about them in late-stage disease. The Posthumous Evaluation of the Advanced Cancer Environment (PEACE) post-mortem study enables extensive sampling of malignant lesions but also normal tissues, thereby allowing study of DTCs in patients with advanced cancer. Methods: We performed research autopsy sampling of macroscopically normal bone, lung and liver in 3 patients with advanced clear cell renal cell carcinoma (RCC). In addition, we performed bone marrow aspiration at autopsy from vertebral bodies and the ilium using an anterior approach. Mechanical disaggregation followed by collagenase digestion was used to generate single cell suspensions. Detection of tumor cells was carried out using antibodies against known tumor or epithelial markers carbonic anhydrase IX (CAIX). Epithelial cell adhesion molecule (EpCAM) was also used for bone marrow samples as native bone marrow cells do not express this marker. These sub-populations were then isolated using fluorescence activated cell sorting and DNA was extracted and amplified from single cells. Results: We performed and optimised collagenase-based digestion on all solid tissues collected. The percentage of viable cells generated varied significantly between subjects and tissues with bone marrow samples more viable than lung and liver. Rare and distinct populations of CAIX+ and EpCAM+ cells were detected in normal tissues between 0.5-2%. DNA amplification was successful on single cells isolated from normal lung and liver but not from bone tissue. Pilot shallow coverage whole genome sequencing revealed genomically aberrant cells ranging from single chromosome arm losses to widespread copy number aberrations. Conclusion: We demonstrate feasibility of sequencing single cells from autopsy study subjects. Rare populations of single cells with markers of clear cell RCC were detected and isolated both in normal tissues of patients with advanced disease. Genomic analyses of these cells will lead to insights into their relationship to the primary tumor and overt metastatic lesions. Citation Format: Haixi Yan, Cristina Cotobal Martin, Christie English, Annelien Verfaillie, Jonas Demeulemeester, Andrew Rowan, Annika Fendler, Anne-Laure Cattin, Sucheta Mahapatra, Lewis Au, Scott Shepherd, Ben Shum, Charlotte Spencer, Zayd Tippu, Ula Mahadeva, Anna Green, Eleanor Carlyle, Cristina Naceur-Lombardelli, PEACE consortium, Mariam Jamal-Hanjani, Charles Swanton, Samra Turajlic, Peter Van Loo. Detection of disseminated tumor cells in advanced clear cell renal cell carcinoma through research autopsy [abstract]. In: Proceedings of the AACR Special Conference: Cancer Metastasis; 2022 Nov 14-17; Portland, OR. Philadelphia (PA): AACR; Cancer Res 2022;83(2 Suppl_2):Abstract nr A011.

S.H. Zhang, E. Cartwright, S. Mullings, L.F. Ferro Lopez, D. Cunningham, I. Chau, N. Starling, S. Popat et al.

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