Contrasting genomic profiles in post-systemic treatment metastatic sites (MET), pretreatment primary tumors (PT), and liquid biopsies (LB) of clinically advanced prostate cancer (PC).

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. 5534-5534
Author(s):  
Andrea Necchi ◽  
Petros Grivas ◽  
Gennady Bratslavsky ◽  
Oleg Shapiro ◽  
Joseph M Jacob ◽  
...  
Keyword(s):  
Systemic Treatment ◽  
Post Treatment ◽  
High Status ◽  
Selection Methods ◽  
Liquid Biopsies ◽  
Primary Tumors ◽  
Comprehensive Genomic Profiling ◽  
Potential Impact ◽  
Metastatic Sites ◽  
Systemic Therapies

5534 Background: Comprehensive genomic profiling (CGP) was done on pre-systemic treatment (pre) PT, post-treatment (post) MET sites and LB in PC to uncover differences in genomic alterations (GA) and potential impact on therapy selection. Methods: 1,294 PC tissues and 782 LB underwent hybrid-capture based CGP. PT biopsies and resections were compared with post-treatment MET biopsies from bone (BO), liver (LIV), lung (LU), brain (BN), lymph node (LN) and soft tissue (ST) sites and LB. TMB was determined on up to 1.1 Mbp of sequenced DNA for tumor samples. Tumor cell PD-L1 IHC was measured (Dako 22C3). Results: Differences in alteration frequencies between PT, MET and LB for selected genes are shown in the Table. TMPRSS2:ERG fusion frequencies were similar between PT and MET (35% vs 33%) but varied between MET sites (27% in BO and ST to 40% in LN). GA in AR were lowest in pre PT (2%) and highest in MET (24% in LU to 50% in LIV). BN had the highest GA/tumor (8) and the most PTEN GA. BRCA2 GA frequency varied from 0% in BN to 15% in LI. Potential predictors of IO response included CDK12 GA (16% in LU) and MSI high status (29% in BN). High PD-L1 expression was found in only two cases (LN) and low PD-L1 expression was relatively uncommon. ERBB2 amplifications were increased in MET compared with PT. RB1 GA were increased in LIV cases. LB GA had a similar increase in AR and TP53 GA to MET and appeared to be a blend of MET site biopsies across alteration frequencies. Conclusions: CGP of PT, MET and LB in PC demonstrates differences most likely associated with exposure to systemic therapies. Differences identified in the MET GA landscape suggest that liquid biopsies may capture a broader range of therapeutic opportunities for PC patients. [Table: see text]

Comprehensive genomic profiling (CGP) in post-systemic treatment (Post) metastatic sites (MET) and pretreatment (Pre) primary tumors (PT) of metastatic prostate cancer (mPC).

2020 ◽  
Vol 38 (6_suppl) ◽  
pp. 175-175
Author(s):  
Andrea Necchi ◽  
Petros Grivas ◽  
Gennady Bratslavsky ◽  
Oleg Shapiro ◽  
Joseph Jacob ◽  
...  
Keyword(s):  
Systemic Treatment ◽  
High Status ◽  
Liquid Biopsies ◽  
Primary Tumors ◽  
Virtual Absence ◽  
Mutational Burden ◽  
Comprehensive Genomic Profiling ◽  
Tumor Mutational Burden ◽  
Metastatic Sites ◽  
Systemic Therapies

175 Background: CGP was performed on Pre PT and Post MET including bone (BO), liver (LIV), lung (LU), brain (BN), lymph node (LN) and soft tissue (ST) mPC. Methods: 1,294 mPC underwent hybrid-capture based CGP. Tumor mutational burden (TMB) was determined on up to 1.1 Mbp of sequenced DNA and microsatellite instability (MSI) was determined on 114 loci. PD-L1 expression was determined by IHC (Dako 22C3). Results: GA in AR were lowest in the Pre PT (2%) and highest in Post LU (24%) and LIV (50%). GA/tumor was significantly higher in BN (8.0) compared to PT (3.8). BR MET also featured higher PTEN GA than PT. BRCA2 GA varied from 0% in BR to 7-9% in PT, BO, LU, LN and ST to a high of 15% in LI MET. ATM GA were significantly higher in LU MET and RAD21 GA highest in LN MET. Potential predictors of IO drug response included high CDK12 GA in LU MET, MSI high status at 29% in BR MET associated with higher TMB levels, but virtual absence of high PD-L1 expression. ERBB2 GA appeared to be increased in the MET group compared with PT but BRAF GA were not. RB1 GA were significantly increased in LIV MET cases. Conclusions: CGP of mPC PT and MET demonstrates significant differences likely linked to exposure to systemic therapies. These findings suggest that, in the future, liquid biopsies may have advantages over individual MET site biopsies in their ability to capture the entire range of therapeutic opportunities for patients with advanced mPC.[Table: see text]

Contrasting genomic profiles from metastatic sites, primary tumors, and liquid biopsies of advanced prostate cancer

Cancer ◽  
2021 ◽  
Author(s):  
Andrea Necchi ◽  
Vito Cucchiara ◽  
Petros Grivas ◽  
Gennady Bratslavsky ◽  
Joseph Jacob ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Advanced Prostate Cancer ◽  
Liquid Biopsies ◽  
Primary Tumors ◽  
Metastatic Sites

scholarly journals Multi-omic profiling of lung and liver tumor microenvironments of metastatic pancreatic cancer reveals site-specific immune regulatory pathways

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Won Jin Ho ◽  
Rossin Erbe ◽  
Ludmila Danilova ◽  
Zaw Phyo ◽  
Emma Bigelow ◽  
...  
Keyword(s):  
Mouse Model ◽  
Primary Tumors ◽  
Regulatory Pathways ◽  
Tumor Microenvironments ◽  
Clinical Responses ◽  
Cellular Pathways ◽  
Autopsy Specimens ◽  
Rapid Autopsy ◽  
Insight Into ◽  
Systemic Therapies

Abstract Background The majority of pancreatic ductal adenocarcinomas (PDAC) are diagnosed at the metastatic stage, and standard therapies have limited activity with a dismal 5-year survival rate of only 8%. The liver and lung are the most common sites of PDAC metastasis, and each have been differentially associated with prognoses and responses to systemic therapies. A deeper understanding of the molecular and cellular landscape within the tumor microenvironment (TME) metastasis at these different sites is critical to informing future therapeutic strategies against metastatic PDAC. Results By leveraging combined mass cytometry, immunohistochemistry, and RNA sequencing, we identify key regulatory pathways that distinguish the liver and lung TMEs in a preclinical mouse model of metastatic PDAC. We demonstrate that the lung TME generally exhibits higher levels of immune infiltration, immune activation, and pro-immune signaling pathways, whereas multiple immune-suppressive pathways are emphasized in the liver TME. We then perform further validation of these preclinical findings in paired human lung and liver metastatic samples using immunohistochemistry from PDAC rapid autopsy specimens. Finally, in silico validation with transfer learning between our mouse model and TCGA datasets further demonstrates that many of the site-associated features are detectable even in the context of different primary tumors. Conclusions Determining the distinctive immune-suppressive features in multiple liver and lung TME datasets provides further insight into the tissue specificity of molecular and cellular pathways, suggesting a potential mechanism underlying the discordant clinical responses that are often observed in metastatic diseases.

scholarly journals Overexpression of circulating MiR-30b-5p identifies advanced breast cancer

2019 ◽  
Vol 17 (1) ◽  
Author(s):  
Helena Estevão-Pereira ◽  
João Lobo ◽  
Sofia Salta ◽  
Maria Amorim ◽  
Paula Lopes ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Validation Cohort ◽  
Advanced Disease ◽  
Clinical Tool ◽  
Liquid Biopsies ◽  
Primary Tumors ◽  
Bodily Fluids ◽  
Formalin Fixed Paraffin ◽  
Formalin Fixed Paraffin Embedded ◽  
Formalin Fixed

Abstract Background Breast cancer (BrC) remains the leading cause of cancer-related death in women, mainly due to recurrent and/or metastatic events, entailing the need for biomarkers predictive of progression to advanced disease. MicroRNAs hold promise as noninvasive cancer biomarkers due to their inherent stability and resilience in tissues and bodily fluids. There is increasing evidence that specific microRNAs play a functional role at different steps of the metastatic cascade, behaving as signaling mediators to enable the colonization of a specific organ. Herein, we aimed to evaluate the biomarker performance of microRNAs previously reported as associated with prognosis for predicting BrC progression in liquid biopsies. Methods Selected microRNAs were assessed using a quantitative reverse transcription-polymerase chain reaction in a testing cohort of formalin-fixed paraffin-embedded primary (n = 16) and metastatic BrC tissues (n = 22). Then, miR-30b-5p and miR-200b-3p were assessed in a validation cohort #1 of formalin-fixed paraffin-embedded primary (n = 82) and metastatic BrC tissues (n = 93), whereas only miR-30b-5p was validated on a validation cohort #2 of liquid biopsies from BrC patients with localized (n = 20) and advanced (n = 25) disease. ROC curve was constructed to evaluate prognostic performance. Results MiR-30b-5p was differentially expressed in primary tumors and paired metastatic lesions, with bone metastases displaying significantly higher miR-30b-5p expression levels, paralleling the corresponding primary tumors. Interestingly, patients with advanced disease disclosed increased circulating miR-30b-5p expression compared to patients with localized BrC. Conclusions MiR-30b-5p might identify BrC patients at higher risk of disease progression, thus, providing a useful clinical tool for patients’ monitoring, entailing earlier and more effective treatment. Nonetheless, validation in larger multicentric cohorts is mandatory to confirm these findings.

scholarly journals MET Expression in Primary and Metastatic Clear Cell Renal Cell Carcinoma: Implications of Correlative Biomarker Assessment to MET Pathway Inhibitors

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Brian Shuch ◽  
Ryan Falbo ◽  
Fabio Parisi ◽  
Adebowale Adeniran ◽  
Yuval Kluger ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Clear Cell ◽  
Predictive Biomarkers ◽  
Cell Renal Cell Carcinoma ◽  
Primary Tumors ◽  
Distant Tissue ◽  
Significant Expression ◽  
Metastatic Sites

Aims. Inhibitors of the MET pathway hold promise in the treatment for metastatic kidney cancer. Assessment of predictive biomarkers may be necessary for appropriate patient selection. Understanding MET expression in metastases and the correlation to the primary site is important, as distant tissue is not always available.Methods and Results. MET immunofluorescence was performed using automated quantitative analysis and a tissue microarray containing matched nephrectomy and distant metastatic sites from 34 patients with clear cell renal cell carcinoma. Correlations between MET expressions in matched primary and metastatic sites and the extent of heterogeneity were calculated. The mean expression of MET was not significantly different between primary tumors when compared to metastases (P=0.1). MET expression weakly correlated between primary and matched metastatic sites (R=0.5) and a number of cases exhibited very high levels of discordance between these tumors. Heterogeneity within nephrectomy specimens compared to the paired metastatic tissues was not significantly different (P=0.39).Conclusions. We found that MET expression is not significantly different in primary tumors than metastatic sites and only weakly correlates between matched sites. Moderate concordance of MET expression and significant expression heterogeneity may be a barrier to the development of predictive biomarkers using MET targeting agents.

Residual ctDNA after treatment predicts early relapse in patients with early-stage NSCLC.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 8517-8517
Author(s):  
Davina Gale ◽  
Katrin Heider ◽  
Malcolm Perry ◽  
Giovanni Marsico ◽  
Andrea Ruiz-Valdepeñas ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Deep Sequencing ◽  
Early Stage ◽  
Post Treatment ◽  
Disease Stage ◽  
Analytical Sensitivity ◽  
Disease Relapse ◽  
Clinical Progression ◽  
Liquid Biopsies ◽  
Early Stage Disease

8517 Background: Liquid biopsies based on circulating tumor DNA (ctDNA) analysis are being investigated for detection of residual disease and recurrence. Conclusive evidence for utility of ctDNA in early-stage non-small cell lung cancer (NSCLC) is awaited. Due to low ctDNA levels in early-stage disease or post-treatment, effective methods require high analytical sensitivity to detect mutant allele fractions (MAF) below 0.01%. Methods: We analysed 363 plasma samples from 88 patients with NSCLC recruited to the LUng cancer CIrculating tumour DNA (LUCID) study, with disease stage I (49%), II (28%) and III (23%). 62% were adenocarcinomas. Plasma was collected before and after treatment, and at 3, 6 and 9 months after surgery (N = 69) or chemoradiotherapy (N = 19). Additional plasma was collected at disease relapse for 17 patients. Median follow-up was 3 years, and 40 patients progressed or died of any cause. We employed the RaDaR™ assay, a highly sensitive personalized assay using deep sequencing of up to 48 tumor-specific variants. Variants identified by tumor exome analysis were tested by deep sequencing of tumor tissue and buffy coat DNA to verify somatic mutations and exclude clonal hematopoiesis. The RaDaR assay demonstrated 90% sensitivity at 0.001% MAF in analytical validation studies. Results: ctDNA was detected in 26% of samples, at median MAF of 0.047% (range: 0.0007% to > 2%), and prior to treatment in 87%, 77% and 24% for disease stage III, II and I respectively. For 62 patients, plasma was collected at a landmark timepoint, between 2 weeks and 4 months after initial treatment. ctDNA detection at the landmark timepoint was strongly predictive of clinical disease relapse, with Hazard Ratio of 20.7 (CI: 7.7-55.5, p-value < 0.0001). All 11 cases with ctDNA detected at landmark had disease progression, a median of 121 days after detection, and these included all 8 patients that relapsed within 300 days of treatment. Across 27 patients whose disease progressed during the study, ctDNA was detected at any timepoint post-treatment in 17 cases, with a median lead time of 203 days, and up to 741 days prior to clinical progression. ctDNA was detected post-treatment, in 13 of the 15 patients that progressed and had ctDNA detected prior to treatment. Conclusions: Our results support an emerging paradigm shift, by demonstrating that liquid biopsies can reliably detect recurrence of NSCLC at a preclinical stage, many months before clinical progression, thereby offering the opportunity for earlier therapeutic intervention. Clinical trial information: NCT04153526.

Angiogenic and T-effector subgroups identified by gene expression profiling (GEP) and propensity for PBRM1 and BAP1 alterations in clear cell renal cell carcinoma (ccRCC).

2021 ◽  
Vol 39 (6_suppl) ◽  
pp. 343-343
Author(s):  
Pedro C. Barata ◽  
Shuchi Gulati ◽  
Andrew Elliott ◽  
Arpit Rao ◽  
Hans J. Hammers ◽  
...  
Keyword(s):  
Gene Expression ◽  
Clinical Trials ◽  
Hierarchical Clustering ◽  
Immune Cell ◽  
Expression Profiles ◽  
Gene Expression Signature ◽  
Predictive Biomarkers ◽  
Primary Tumors ◽  
Metastatic Sites ◽  
Patient Subgroups

343 Background: With the emergence of multiple active treatment options in RCC, predictive biomarkers for optimal treatment selection are lacking. Gene expression data from IMmotion151 and Javelin Renal 101 clinical trials generated anti-angiogenic and immune signatures that warrant further validation. We aimed to describe the genomic and gene expression profiles in a multi-institutional database of patients with ccRCC, and its association with other biomarkers of interest. Methods: Whole transcriptome sequencing was performed for ccRCC patient samples submitted to a commercial CLIA-certified laboratory (Caris Life Sciences, Phoenix, AZ) from February 2019 to September 2020. Tumor GEP and hierarchical clustering based on the validated 66-gene signature (D’Costa et al, 2020) were used to identify patient subgroups. Samples from both primary tumors and metastatic sites were included. Results: A total of 316 patients with ccRCC, median age 62 (range 32-90), 71.8% men, were included. Tissue samples were obtained from primary tumor (46.5%), lung (12.3%), bone (9.5%), liver (4.7%) and other metastatic sites (27%). Gene expression analysis identified angiogenic, mixed and T-effector subgroups in 24.1%, 51.3% and 24.7%, respectively. Patients with angiogenic subgroup tumors compared to those with T-effector subgroup tumors were more likely to be older (63 versus 60 years, p=0.035), female (40.8% versus 16.7%, p=0.0009) and more frequently found in pancreatic/small bowel metastases (75% versus 12.5%, p=0.0103). Biomarkers of potential response to immunotherapy such as PD-L1 (p=0.0021), TMB (not significant), and dMMR/MSI-H status (not significant) were more frequent in the T-effector subgroup. PBRM1 mutations were more common in the angiogenic subgroup (62.0% vs 37.5%, p=0.0034) while BAP1 mutations were more common in the T-effector subgroup (18.6% versus 3.0%, p= 0.0035). Immune cell population abundance (e.g. NK cells, monocytes) and immune checkpoint gene expression (TIM-3, PD-L1, PD-L2, CTLA4) were also increased in the T-effector subgroup. Conclusions: Our hierarchical clustering results based on the 66-gene expression signature were concordant with results from prior studies. Patient subgroups identified by evaluation of angiogenic and T-effector signature scores exhibit significantly different mutations and immune profiles. These findings require prospective validation in future biomarker-selected clinical trials.

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