Evidence map›Paper›PMID 34454115›Full record

ArticleThe Journal of molecular diagnostics : JMD2021

Optimization of Sources of Circulating Cell-Free DNA Variability for Downstream Molecular Analysis.

Jacob E Till, Taylor A Black, Caren Gentile, Aseel Abdalla, Zhuoyang Wang, Hareena K Sangha, Jacquelyn J Roth, Robyn Sussman, Stephanie S Yee, Mark H O'Hara and 5 more

Open access · greenAbstract read
In one paragraph

Article in The Journal of molecular diagnostics : JMD, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 27% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. The utility of cfDNA in TGCT patient management: a systematic review.Therapeutic advances in medical oncology · 2022
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 2 institutions in 1 country.

Jacob E TillDivision of Hematology-Oncology, Department of Medicine, Raymond and Ruth Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Taylor A BlackDivision of Hematology-Oncology, Department of Medicine, Raymond and Ruth Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Caren GentileDivision of Precision and Computational Diagnostics, Department of Pathology and Laboratory Medicine, Raymond and Ruth Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Aseel AbdallaDivision of Hematology-Oncology, Department of Medicine, Raymond and Ruth Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Zhuoyang WangDivision of Hematology-Oncology, Department of Medicine, Raymond and Ruth Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Hareena K SanghaDivision of Hematology-Oncology, Department of Medicine, Raymond and Ruth Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Jacquelyn J RothDivision of Precision and Computational Diagnostics, Department of Pathology and Laboratory Medicine, Raymond and Ruth Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Robyn SussmanDivision of Precision and Computational Diagnostics, Department of Pathology and Laboratory Medicine, Raymond and Ruth Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Stephanie S YeeDivision of Hematology-Oncology, Department of Medicine, Raymond and Ruth Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Mark H O'HaraDivision of Hematology-Oncology, Department of Medicine, Raymond and Ruth Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Jeffrey C ThompsonDivision of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, Raymond and Ruth Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Charu AggarwalDivision of Hematology-Oncology, Department of Medicine, Raymond and Ruth Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Wei-Ting HwangDepartment of Biostatistics, Epidemiology and Informatics, Raymond and Ruth Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Kojo S J Elenitoba-JohnsonDivision of Precision and Computational Diagnostics, Department of Pathology and Laboratory Medicine, Raymond and Ruth Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Erica L CarpenterDivision of Hematology-Oncology, Department of Medicine, Raymond and Ruth Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania. Electronic address: erical@upenn.edu.
University of Pennsylvania · USComputational Diagnostics (United States) · US

Funding

UNIVERSITY OF PENNSYLVANIA CAN CTR SUPPORT GRANTP30CA016520 · NCI · UNIVERSITY OF PENNSYLVANIA · PI Robert H. Vonderheide · 1985 to 2026
$222.3M
A multimodal approach to develop molecular markers to predict response to immune targeted agents in non-small cell lung cancerK08CA234335 · NCI · UNIVERSITY OF PENNSYLVANIA · PI THOMPSON, JEFFREY C · 2018 to 2022
$982k
NCI NIH HHS K08 CA234335NCI NIH HHS P30 CA016520
6 · The paper itself

Abstract

Circulating cell-free DNA (ccfDNA) is used increasingly as a cancer biomarker for prognostication, as a correlate for tumor volume, or as input for downstream molecular analysis. Determining optimal blood processing and ccfDNA quantification are crucial for ccfDNA to serve as an accurate biomarker as it moves into the clinical realm. Whole blood was collected from 50 subjects, processed to plasma, and used immediately or frozen at -80°C. Plasma ccfDNA was extracted and concentration was assessed by real-time quantitative PCR (qPCR), fluorimetry, and droplet digital PCR (ddPCR). For the 24 plasma samples from metastatic pancreatic cancer patients, the variant allele fractions (VAF) of KRAS G12/13 pathogenic variants in circulating tumor DNA (ctDNA) were measured by ddPCR. Using a high-speed (16,000 × g) or slower-speed (4100 × g) second centrifugation step showed no difference in ccfDNA yield or ctDNA VAF. A two- versus three-spin centrifugation protocol also showed no difference in ccfDNA yield or ctDNA VAF. A higher yield was observed from fresh versus frozen plasma by qPCR and fluorimetry, whereas a higher yield was observed for frozen versus fresh plasma by ddPCR, however, no difference was observed in ctDNA VAF. Overall, our findings suggest factors to consider when implementing a ccfDNA extraction and quantification workflow in a research or clinical setting.

Indexed as

AllelesBiomarkers, TumorBlood Specimen CollectionCarcinoma, Pancreatic DuctalCase-Control StudiesCirculating Tumor DNACohort StudiesHumansMolecular Diagnostic TechniquesMutationNeoplasm MetastasisPancreatic NeoplasmsReal-Time Polymerase Chain ReactionBiomarkers, TumorCirculating Tumor DNA

Identifiers

PMID34454115
PMCPMC8647427
OpenAlexW3195824441

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.