Evidence map›Paper›PMID 36090640›Full record

ArticleTranslational lung cancer research2022

Tumor volume as a predictor of cell free DNA mutation detection in advanced non-small cell lung cancer.

Justin M Haseltine, Michael Offin, Jessica R Flynn, Zhigang Zhang, Emily S Lebow, Khaled Aziz, Alex Makhnin, Jordan Eichholz, Lee P Lim, Mark Li and 4 more

Open access · diamondAbstract read
In one paragraph

Article in Translational lung cancer research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 36% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

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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

14 authors at 3 institutions in 1 country.

Justin M HaseltineDepartment of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Michael OffinDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Jessica R FlynnDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Zhigang ZhangDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Emily S LebowDepartment of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Khaled AzizDepartment of Radiation Oncology, Johns Hopkins Hospital, Baltimore, MD, USA.
Alex MakhninDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Jordan EichholzDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Lee P LimResolution Bioscience, Agilent Technologies, Kirkland, WA, USA.
Mark LiResolution Bioscience, Agilent Technologies, Kirkland, WA, USA.
James M IsbellDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Daniel R GomezDepartment of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Bob T LiDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Andreas RimnerDepartment of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Memorial Sloan Kettering Cancer Center · USAgilent Technologies (United States) · USJohns Hopkins Hospital · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

Background: Cell free DNA (cfDNA) is an exciting biomarker with applications across the cancer care continuum. Determinants of cfDNA shedding dynamics remain an active research area. We performed a detailed analysis of tumor volume and factors associated with detection of cfDNA mutations. Methods: Patients with advanced non-small cell lung cancers (NSCLCs) were prospectively enrolled on a plasma biomarker protocol. Next generation sequencing (NGS) was performed using a validated, bias-corrected, hybrid-capture panel assay of lung cancer-associated genes. Volume of tumor in different subsites and total tumor volume were determined through manual volume delineation using PET/CT and brain magnetic resonance imaging (MRI) imaging. The primary endpoint was detection of cfDNA mutation; secondary endpoints were overall survival (OS) and variant allele frequency (VAF). Results: There were 110 patients included, 78 of whom had at least one mutation detected. Median total tumor volume for the entire cohort, patients with mutation detected, and patients with no mutation detected were 66 mL (range, 2-1,383 mL), 76 mL (range, 5-1,383 mL), and 45 mL (range, 2-460 mL), respectively (P=0.002; mutation detected Conclusions: Total tumor volume greater than 65 mL was associated with cfDNA mutation detection in patients with advanced NSCLC.

Indexed as

carcinoma, non-small-cell lungcell-free nucleic acidsliquid biopsyLung cancertumor burden

Identifiers

PMID36090640
PMCPMC9459617
OpenAlexW4285616760

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.