Evidence map›Paper›PMID 34794107›Full record

ArticleCancer treatment and research communications2021

Pathologic and gene expression comparison of CT- screen detected and routinely detected stage I/0 lung adenocarcinoma in NCCN risk-matched cohorts.

Eric J Burks, Jiarui Zhang, Travis B Sullivan, Xingyi Shi, Jacob M Sands, Shawn M Regis, Brady J McKee, Andrea B McKee, Sherry Zhang, Hanqiao Liu and 5 more

Open access · goldAbstract read
In one paragraph

Article in Cancer treatment and research communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
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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

15 authors at 4 institutions in 1 country.

Eric J BurksDepartment of Pathology, Lahey Hospital & Medical Center, Burlington, MA, United States of America.
Jiarui ZhangDepartment of Medicine Section of Computational Biomedicine, Boston University School of Medicine, Boston, MA, United States of America.
Travis B SullivanDepartment of Translational Research, Ian C. Summerhayes Cell and Molecular Biology Laboratory, Lahey Hospital & Medical Center, Burlington, MA, United States of America.
Xingyi ShiDepartment of Medicine Section of Computational Biomedicine, Boston University School of Medicine, Boston, MA, United States of America.
Jacob M SandsDepartment of Hematology and Oncology, Lahey Hospital & Medical Center, Burlington, MA, United States of America.
Shawn M RegisDepartment of Radiation Oncology, Lahey Hospital & Medical Center, Burlington, MA, United States of America.
Brady J McKeeDepartment of Radiology, Lahey Hospital & Medical Center, Burlington, MA, United States of America.
Andrea B McKeeDepartment of Radiation Oncology, Lahey Hospital & Medical Center, Burlington, MA, United States of America.
Sherry ZhangDepartment of Medicine Section of Computational Biomedicine, Boston University School of Medicine, Boston, MA, United States of America.
Hanqiao LiuDepartment of Medicine Section of Computational Biomedicine, Boston University School of Medicine, Boston, MA, United States of America.
Gang LiuDepartment of Medicine Section of Computational Biomedicine, Boston University School of Medicine, Boston, MA, United States of America.
Avrum SpiraDepartment of Medicine Section of Computational Biomedicine, Boston University School of Medicine, Boston, MA, United States of America; Johnson and Johnson Innovation, Cambridge, MA, United States of America.
Jennifer BeaneDepartment of Medicine Section of Computational Biomedicine, Boston University School of Medicine, Boston, MA, United States of America.
Marc E LenburgDepartment of Medicine Section of Computational Biomedicine, Boston University School of Medicine, Boston, MA, United States of America; Department of Pathology & Laboratory Medicine, Boston University School of Medicine, Boston Medical Center, Boston, MA, United States of America.
Kimberly M Rieger-ChristDepartment of Translational Research, Ian C. Summerhayes Cell and Molecular Biology Laboratory, Lahey Hospital & Medical Center, Burlington, MA, United States of America. Electronic address: Kimberly.R.Christ@lahey.org.
Boston University · USLahey Medical Center · USLahey Hospital and Medical Center · USJohnson & Johnson (United States) · US

Funding

Integrated Molecular, Cellular, and Imaging Characterization of Screen-Detected Lung CancerU01CA196408 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ABERLE, DENISE R., DUBINETT, STEVEN M. · 2015 to 2021
$7.1M
NCI NIH HHS U01 CA196408
6 · The paper itself

Abstract

introductionAlthough three randomized control trials have proven mortality benefit of CT lung cancer screening (CTLS), <5% of eligible US smokers are screened. Some attribute this to fear of harm conveyed at shared decision visits, including the harm of overdiagnosis/overtreatment of indolent BAC-like adenocarcinoma.

methodsSince the frequency of indolent cancers has not been compared between CTLS and routinely detected cohorts, we compare pathology and RNA expression of 86 NCCN high-risk CTLS subjects to 83 high-risk (HR-R) and 51 low-risk (LR-R) routinely detected patients. Indolent adenocarcinoma was defined as previously described for low malignant potential (LMP) adenocarcinoma along with AIS/MIA. Exome RNA sequencing was performed on a subset of high-risk (CTLS and HR-R) FFPE tumor samples.

resultsIndolent adenocarcinoma (AIS, MIA, and LMP) showed 100% disease-specific survival (DSS) with similar frequency in CTLS (18%) and HR-R (20%) which were comparatively lower than LR-R (33%). Despite this observation, CTLS exhibited intermediate DSS between HR-R and LR-R (5-year DSS: 88% CTLS, 82% HR-R, & 95% LR-R, p = 0.047), possibly reflecting a 0.4 cm smaller median tumor size and lower frequency of tumor necrosis compared to HR-R. WGCNA gene modules derived from TCGA lung adenocarcinoma correlated with aggressive histologic patterns, mitotic activity, and tumor invasive features, but no significant differential expression between CTLS and HR-R was observed.

conclusionCTLS subjects are at no greater risk of overdiagnosis from indolent adenocarcinoma (AIS, MIA, and LMP) than risk-matched patients whose cancers are discovered in routine clinical practice. Improved outcomes likely reflect detection and treatment at smaller size.

Indexed as

Adenocarcinoma of LungAgedCohort StudiesEarly Detection of CancerFemaleGene ExpressionHumansLung NeoplasmsMaleMiddle AgedRisk AssessmentSurvival AnalysisTomography, X-Ray ComputedCTLSLow malignant potential adenocarcinomaOverdiagnosisRNA sequencingScreen

Identifiers

PMID34794107
PMCPMC8713084
OpenAlexW3212724166

What OpenQuestion holds

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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.