Evidence map›Paper›PMID 33707471›Full record

ArticleScientific reports2021

Mutational landscape of multiple primary lung cancers and its correlation with non-intrinsic risk factors.

Motohiro Izumi, Jun Oyanagi, Kenji Sawa, Mitsuru Fukui, Koichi Ogawa, Yoshiya Matsumoto, Yoko Tani, Tomohiro Suzumura, Tetsuya Watanabe, Hiroyasu Kaneda and 6 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 8% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 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

16 authors at 2 institutions in 1 country.

Motohiro IzumiDepartment of Respiratory Medicine, Graduate School of Medicine, Osaka City University, 1-4-3 Asahi-cho, Abeno-ku, Osaka, 545-8585, Japan.
Jun OyanagiInternal Medicine III, Wakayama Medical University, 811-1 Kimiidera, Wakayama, Wakayama, 641-8509, Japan.
Kenji SawaDepartment of Respiratory Medicine, Graduate School of Medicine, Osaka City University, 1-4-3 Asahi-cho, Abeno-ku, Osaka, 545-8585, Japan.
Mitsuru FukuiLaboratory of Statistics, Graduate School of Medicine, Osaka City University, Osaka, Japan.
Koichi OgawaDepartment of Respiratory Medicine, Graduate School of Medicine, Osaka City University, 1-4-3 Asahi-cho, Abeno-ku, Osaka, 545-8585, Japan.
Yoshiya MatsumotoDepartment of Respiratory Medicine, Graduate School of Medicine, Osaka City University, 1-4-3 Asahi-cho, Abeno-ku, Osaka, 545-8585, Japan.
Yoko TaniDepartment of Clinical Oncology, Graduate School of Medicine, Osaka City University, Osaka, Japan.
Tomohiro SuzumuraDepartment of Clinical Oncology, Graduate School of Medicine, Osaka City University, Osaka, Japan.
Tetsuya WatanabeDepartment of Respiratory Medicine, Graduate School of Medicine, Osaka City University, 1-4-3 Asahi-cho, Abeno-ku, Osaka, 545-8585, Japan.
Hiroyasu KanedaDepartment of Clinical Oncology, Graduate School of Medicine, Osaka City University, Osaka, Japan.
Shigeki MitsuokaDepartment of Clinical Oncology, Graduate School of Medicine, Osaka City University, Osaka, Japan.
Kazuhisa AsaiDepartment of Respiratory Medicine, Graduate School of Medicine, Osaka City University, 1-4-3 Asahi-cho, Abeno-ku, Osaka, 545-8585, Japan.
Masahiko OhsawaDepartment of Pathology, Graduate School of Medicine, Osaka City University, Osaka, Japan.
Nobuyuki YamamotoInternal Medicine III, Wakayama Medical University, 811-1 Kimiidera, Wakayama, Wakayama, 641-8509, Japan.
Yasuhiro Koh *Internal Medicine III, Wakayama Medical University, 811-1 Kimiidera, Wakayama, Wakayama, 641-8509, Japan. ykoh@wakayama-med.ac.jp.
Tomoya Kawaguchi *Department of Respiratory Medicine, Graduate School of Medicine, Osaka City University, 1-4-3 Asahi-cho, Abeno-ku, Osaka, 545-8585, Japan. kawaguchi.tomoya@med.osaka-cu.ac.jp.
Osaka City University · JPWakayama Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple primary lung cancers (MPLCs) harbour various genetic profiles among the tumours, even from individuals with same non-intrinsic risk factors. Paired mutational analyses were performed to obtain a census of mutational events in MPLC and assess their relationship with non-intrinsic risk factors. Thirty-eight surgical specimens from 17 patients diagnosed as MPLC were used. Extracted DNAs were sequenced for somatic mutations in 409 cancer-associated genes from a comprehensive cancer panel. We statistically analysed the correlation between each driver mutation frequency and non-intrinsic risk factors using Fisher's exact test, and whether genetic mutations occurred concomitantly or randomly in MPLC using an exact test. Comprehensive genetic analyses suggested different mutation profiles in tumours within the same individuals, with some exceptions. EGFR, KRAS, TP53, or PARP1 mutations were concomitantly detected in some MPLC cases. EGFR mutations were significantly more frequent in never or light smokers and females. Concomitant EGFR or KRAS mutations in MPLCs were significantly more frequent than expected by chance (P = .0023 and .0049, respectively) suggesting a more prominent role of non-intrinsic risk factors in EGFR and KRAS mutations than other mutations, which occurred more randomly. Concomitant EGFR or KRAS mutations were particularly prominent in never or light smokers and males.

Indexed as

AgedAged, 80 and overFemaleHumansLung NeoplasmsMaleMiddle AgedMutationRisk FactorsSequence Analysis, DNA

Identifiers

PMID33707471
PMCPMC7952588
OpenAlexW3135169509

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.