Evidence map›Paper›PMID 34573440›Full record

ArticleGenes2021

Metatranscriptomic Analysis of Human Lung Metagenomes from Patients with Lung Cancer.

Ya-Sian Chang, Ming-Hung Hsu, Siang-Jyun Tu, Ju-Chen Yen, Ya-Ting Lee, Hsin-Yuan Fang, Jan-Gowth Chang

Open access · goldAbstract read
In one paragraph

Article in Genes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.0field-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

23 citing papers in PubMed, 35 citations in OpenAlex.

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  16. The Future of Precision Oncology.International journal of molecular sciences · 2023
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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 2 institutions in 1 country.

Ya-Sian ChangEpigenome Research Center, China Medical University Hospital, Taichung 404, Taiwan.
Ming-Hung HsuCenter for Precision Medicine, China Medical University Hospital, Taichung 404, Taiwan.
Siang-Jyun TuCenter for Precision Medicine, China Medical University Hospital, Taichung 404, Taiwan.ORCID 0000-0002-6385-8683
Ju-Chen YenEpigenome Research Center, China Medical University Hospital, Taichung 404, Taiwan.
Ya-Ting LeeEpigenome Research Center, China Medical University Hospital, Taichung 404, Taiwan.
Hsin-Yuan FangDepartment of Thoracic Surgery, China Medical University Hospital, Taichung 404, Taiwan.
Jan-Gowth ChangEpigenome Research Center, China Medical University Hospital, Taichung 404, Taiwan.ORCID 0000-0003-0375-1427
China Medical University · TWAsia University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study was designed to characterize the microbiomes of the lung tissues of lung cancer patients. RNA-sequencing was performed on lung tumor samples from 49 patients with lung cancer. Metatranscriptomics data were analyzed using SAMSA2 and Kraken2 software. 16S rRNA sequencing was also performed. The heterogeneous cellular landscape and immune repertoires of the lung samples were examined using xCell and TRUST4, respectively. We found that nine bacteria were significantly enriched in the lung tissues of cancer patients, and associated with reduced overall survival (OS). We also found that subjects with mutations in the epidermal growth factor receptor gene were less likely to experience the presence of

Indexed as

Adenocarcinoma of LungCarcinoma, Non-Small-Cell LungCarcinoma, Squamous CellGene Expression ProfilingHumansLung NeoplasmsMetagenomeMutationPilot ProjectsReceptors, Antigen, B-CellReceptors, Antigen, T-CellRNA, Ribosomal, 16SSequence Analysis, RNATumor MicroenvironmentReceptors, Antigen, B-CellReceptors, Antigen, T-CellRNA, Ribosomal, 16SB cell receptor repertoireslung cancermetatranscriptomicmicroenvironmentsT cell receptor repertoires

Identifiers

PMID34573440
PMCPMC8466605
OpenAlexW3200287433

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.