Evidence map›Paper›PMID 30225209›Full record

ArticleTranslational lung cancer research2018

A quantitative method for assessing smoke associated molecular damage in lung cancers.

Kai Song, Jia-Hao Bi, Zhe-Wei Qiu, Rui Felizardo, Luc Girard, John D Minna, Adi F Gazdar

Open access · hybridAbstract read
In one paragraph

Article in Translational lung cancer research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

9 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Article
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  4. Molecular Pathology of Lung Cancer.Cold Spring Harbor perspectives in medicine · 2022
    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

7 authors at 3 institutions in 2 countries.

Kai SongSchool of Chemical Engineering and Technology, Tianjin University, Tianjin 300350, China.
Jia-Hao BiSchool of Chemical Engineering and Technology, Tianjin University, Tianjin 300350, China.
Zhe-Wei QiuSchool of Chemical Engineering and Technology, Tianjin University, Tianjin 300350, China.
Rui FelizardoSchool of Chemical Engineering and Technology, Tianjin University, Tianjin 300350, China.
Luc GirardHamon Center for Therapeutic Oncology Research, UT Southwestern Medical Center, Dallas, TX, USA.
John D MinnaHamon Center for Therapeutic Oncology Research, UT Southwestern Medical Center, Dallas, TX, USA.
Adi F GazdarHamon Center for Therapeutic Oncology Research, UT Southwestern Medical Center, Dallas, TX, USA.
The University of Texas Southwestern Medical Center · USTianjin University · CNSouthwestern Medical Center · US

Funding

UNIVERSITY OF TEXAS--SPORE IN LUNG CANCERP50CA070907 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI GIBBONS, DON LYNN · 1996 to 2024
$57.4M
NCI NIH HHS P50 CA070907
6 · The paper itself

Abstract

backgroundWhile tobacco exposure is the cause of the vast majority of lung cancers, an important percentage arise in lifetime never smokers. Documenting the precise extent of tobacco induced molecular changes may be of importance. Also, the contribution of environmental tobacco smoke (ETS) is difficult to assess.

methodsWe developed and validated a quantitative method to assess the extent of tobacco related molecular damage by combing the most characteristic changes associated with tobacco smoke, the tumor mutation burden (TMB) and type of molecular changes present in lung cancers. Using maximum entropy (MaxEnt) as a classifier, we developed a F score. F score values >0 were considered to show evidence of tobacco related molecular damage, while values ≤0 were considered to lack evidence of tobacco related molecular damage. Compared to the stated patient tobacco exposure histories, the F scores had sensitivity, specificity and accuracy values of 85-87%. Using this method, we analyzed public data sets of lung adenocarcinoma (LUAD), lung squamous cell (LUSC) and small cell lung cancer (SCLC).

resultsLess than 10% of LUSCs and SCLCs had negative F scores, while 27% to 35% of LUADs had positive scores. The F score showed a highly significant downward trend when LUADs were subdivided into the following categories: ever, reformed ≤15 years, reformed >15 years and never smokers. Most of the examined bronchial carcinoids (a lung cancer type not associated with smoke exposure) had negative F scores. In addition, most LUADs with EGFR mutations had negative F scores, while almost all with KRAS mutations had positive scores.

conclusionsWe have established and validated a quantitative assay that will be of use in assessing the presence and degree of smoke associated molecular damage in lung cancers arising in ever and never smokers.

Indexed as

Lung cancerquantitationsmoke associated molecular damagetobacco exposure

Identifiers

PMID30225209
PMCPMC6131178
OpenAlexW2887754756

What OpenQuestion holds

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Registered trials

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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.