Longitudinal Copy Number Alteration Analysis in Plasma Cell-Free DNA of Neuroendocrine Neoplasms is a Novel Specific Biomarker for Diagnosis, Prognosis and Follow-Up

2021 ◽  
pp. clincanres.2291.2021
Author(s):  
Gitta Boons ◽  
Timon Vandamme ◽  
Laura Mariën ◽  
Willem Lybaert ◽  
Geert Roeyen ◽  
...  
2020 ◽  
Author(s):  
Hongjie Yu ◽  
Xiaojun Yu ◽  
Jia Tang ◽  
Xun Lu ◽  
Haitao Ma

Abstract purpose: Chromosome 7 is playing an important role in lung tumorigenesis. Here we investigate whether chromosome 7p copy number gain as a detectable genetic events with plasma cell free DNA for early lung cancer detection biomarker. Methods: Eighteen surgical eligible lung cancer patients and eighteen non-cancer controls were recruited. Peripheral blood was collected before surgery. Cell free DNA was profiled with low coverage whole genome sequencing. Chromosome 7 copy number gains were defined as chr7 normalized coverage≥1.0005 and P value<0.05. Plasma cell-free DNA chr7 copy gains were then compared to pathological examinations on surgical tissues.Results: 83.3% patients were confirmed as malignancy post-operation, with 12 adenocarcinoma and 3 squamous-carcinoma. The other 16.7% were benign lesions. Cell free DNA was successfully extracted from pre-surgical plasma samples, with concentration range from 0.18 to 0.49 ng/ul. Chromosome 7 short arm copy gains were found in 66.7% (10/15) patients, including 66.7% (4/6) T1aN0M0 and 50.0% (1/2) Tis patients, otherwise, chr7p gain was found in 0% (0/3) benign lesions. The specificity was further examined in 18 volunteers who undergoing routine body examinations. Meanwhile, positive CEA and CYFRA21-1 was only found in 1/18 (5.7%) and 4/18 (22.2%). Taking together, UCAD chr7p or UCAD chr7p and tumor biomarker positivity can predict 12/15(80%, 95% CI:49.0-94.3%) early lung cancers. Further analyses showed that chr7p copy number gains tends to be enriched in EGFR/KRAS silent patients (fisher. test, P value=0.077). Conclusions: Chromosome 7p copy gains might be a useful peripheral blood tumor biomarker from lung cancer detection.


Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 5603-5603
Author(s):  
Juan Du ◽  
Jing Lu ◽  
Wanting Qiang ◽  
Lu Li ◽  
Jin Liu ◽  
...  

Abstract Background: Multiple myeloma (MM) is a plasma cell malignancy characterized by complex cytogenetic and molecular abnormalities including translocations involving the immunoglobin heavy chain locus and mutations involving numerous oncogenic signaling pathways. Fluorescence in situ hybridization (FISH) has emerged as the most useful current cytogenetic assessment and provide a new level of insight into the correlation of myeloma prognosis risk model. However, the identification or sorting of malignant cells is required before FISH probes and only involved expansion of the types of probe and number of detectable targets is reached. Cell-free DNA (cfDNA) offers the potential for minimally invasive genome-wide profiling of tumor alterations without tumor biopsy and may be associated with cancer precision medicine and patient prognosis. Methods: In this retrospective cohort study, we identified 37 patients from 9 relapsed/refractory (RR) and 33 newly diagnosed (ND) patients were analyzed for chromosomal copy number imbalance using the ultrasensitive chromosomal aneuploidy detector (UCAD) platform. Results: Chromosome copy number aberration (CNA) were frequently (82.6%, N=46) detected in MM plasma cell free DNA. Applying UCAD to cfDNA, FISH in CD138 purified bone marrow aspirates, and some matched bone marrow biopsies, we find concordance in copy number alterations (~81%) between liquid and tumor biopsies. Significant copy number changes, including 1q gains, 13q deletion and 17p deletion could be found in 57.89%, 54.05%, and 16.67% in plasma of MM, which is higher percentage than FISH assay (46.81%, 28.26%, and 8.89%), respectively. Besides, chromosome 6p and 6q were determined the higher frequency aberration from UCAD. Moreover, a higher frequency of copy number aberrations and variations was detected in RR patients than ND (100% vs 78.4%, respectively), obviously CNAs heterogeneity displayed in advanced disease. In the inconsistent some samples, UCAD from the plasma and bone marrow showed the similar results, which indicated the FISH is underdetermined and insensitivity in some patients' routine inspection. Conclusion: We conclude that cfDNA analysis as an adjunct to BM biopsy represents a noninvasive and broaden the applicability strategy for comprehensive genomic profiling and therapeutic monitoring of MM. Disclosures No relevant conflicts of interest to declare.


2013 ◽  
Vol 31 (15_suppl) ◽  
pp. 5072-5072
Author(s):  
Ekkehard Schütz ◽  
Mohammad R Akbari ◽  
Julia Beck ◽  
Howard B. Urnovitz ◽  
William Zhang ◽  
...  

5072 Background: Prostate cancer (PrCa) is the most frequent non-dermatological malignancy in the male population. Genomic instability resulting in copy number variation (CNV) is a hallmark of malignant transformation. CNV traces from tumors in cell-free DNA (cfDNA) of prostate cancer patients may be identified through massive parallel sequencing (MPS) of serum DNA. These CNV traces may be biomarkers of cancer with clinical applications for screening and follow-up. Methods: DNA was extracted from serum of 205 PrCa patients (Gleason 2 to10), 207 age matched male controls (HC), 10 men with benign hyperplasia (BPH) and 10 with prostatitis (PiS). DNA was amplified using random primers, tagged with a unique molecular identifier per sample, sequenced on a SOLiD system and aligned to the human genome (Build 37). Hits were counted in sliding 100kbp intervals and normalized. Using a random-resampling procedure, genomic regions showing copy number variations in cfDNA that distinguish PrCa from HC were selected. A model using 20 cfDNA regions was cross-validated and used as cfDNA biomarker. Receiver operator characteristics (ROC) curves were calculated for assessment of diagnostic performance by means of area under the curve (AUC). Results: To assess whether CNVs in cfDNA are indicative of PrCa, the number of regions with significant CNV deviation was counted in a first subset of 82 PrCa. Using only the number of regions as measure resulted in an AUC of 0.81 (0.7 – 0.9, p<0.001). Therefore, all samples were used to select regions (n=80) in random resampling (50/50). These regions were used to define a highly significant 20-regions model using five rounds of 10-fold cross-validation (AUC: 0.85±0.7; p< 10-7). This final model discriminated between PrCa and HC with an AUC of 0.92 (0.87 – 0.95) reaching a calculated accuracy of 83%. Both BPH and PiS could be distinguished from PrCa using the cfDNA CNV biomarker with a predicted accuracy of 90%. Conclusions: MPS revealed that only a limited number of chromosomal regions showing CNVs are necessary to achieve statistical separation between prostate cancer and controls. This technique may prove to be clinically useful for screening and follow up of men with prostate cancer.


2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Makoto Nakabayashi ◽  
Akihiro Kawashima ◽  
Rika Yasuhara ◽  
Yosuke Hayakawa ◽  
Shingo Miyamoto ◽  
...  

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