Evidence map›Paper›PMID 33209609›Full record

ArticleTranslational lung cancer research2020

Longitudinal multi-gene panel assessment of circulating tumor DNA revealed tumor burden and molecular characteristics along treatment course of non-small cell lung cancer.

Gloria Y F Ho, Tao Wang, Hoi-Hin Kwok, Rehana Rasul, Rita Peila, Maria Guzman, Mary S M Ip, David C L Lam

Open access · diamondAbstract read
In one paragraph

Article in Translational lung cancer research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 46% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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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

8 authors at 4 institutions in 2 countries.

Gloria Y F HoDepartment of Occupational Medicine, Epidemiology and Prevention, Feinstein Institute for Medical Research, Northwell Health, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Manhasset, NY, USA.
Tao WangDepartment of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, NY, USA.
Hoi-Hin KwokDepartment of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Rehana RasulDepartment of Occupational Medicine, Epidemiology and Prevention, Feinstein Institute for Medical Research, Northwell Health, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Manhasset, NY, USA.
Rita PeilaDepartment of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, NY, USA.
Maria GuzmanDepartment of Occupational Medicine, Epidemiology and Prevention, Feinstein Institute for Medical Research, Northwell Health, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Manhasset, NY, USA.
Mary S M IpDepartment of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
David C L LamDepartment of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
University of Hong Kong · HKAlbert Einstein College of Medicine · USFeinstein Institute for Medical Research · USDonald & Barbara Zucker School of Medicine at Hofstra/Northwell · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMost studies associating circulating tumor DNA (ctDNA) with outcome in lung cancer treatment were either cross-sectional or, if longitudinal, only analyzed a limited number of genes. This study evaluated the potential of utilizing ctDNA profiled by a panel of common cancer genes to monitor tumor burden and to reveal molecular characteristics of tumor along treatment course.

methodsTwenty Chinese non-small cell lung cancer (NSCLC) patients with serial plasma samples collected (I) before starting on either first- or second-line treatment, (II) at stable disease on treatment, and (III) upon disease progression, were analyzed for mutations in ctDNA using the PGDx 64-gene panel. Paired statistics compared mutation profiles between any two of the three time points.

resultsProportions with detectable ctDNA decreased from 65% at baseline to 35% at stable disease and rose to 80% at progression (P=0.012, between stable disease and progression); median ctDNA levels (mutated fragments per mL) were 7.8, 0, and 24.7 at the three time points, respectively (P=0.013 between baseline and progression; P=0.007 between stable disease and progression). Although plasma epidermal growth factor receptor (

conclusionsctDNA profiling in serial blood samples reflected tumor burden over time, and a multi-gene panel was more sensitive in indicating lung cancer progression on treatment than a single gene approach. The detection of additional oncogenic mutations or their disappearance suggested evolution of tumor heterogeneity along treatment course.

Indexed as

circulating tumor DNA (ctDNA)epidermal growth factor receptor (EGFR)longitudinal assessmentLung cancertumor burden

Identifiers

PMID33209609
PMCPMC7653134
OpenAlexW3084419557

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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.