Evidence map›Paper›PMID 33305905›Full record

ArticleCancer medicine2021

Suppression of tumor immune microenvironment via microRNA-1 after epidermal growth factor receptor-tyrosine kinase inhibitor resistance acquirement in lung adenocarcinoma.

Sachiko Kawana, Ryoko Saito, Yasuhiro Miki, Yuichiro Kimura, Jiro Abe, Ikuro Sato, Mareyuki Endo, Shunichi Sugawara, Hironobu Sasano

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

16 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Review
  6. Review
  7. Article
  8. State-of-the-Art Molecular Oncology of Lung Cancer in Taiwan.International journal of molecular sciences · 2022
    Review
  9. Review
  10. MicroRNA-1: Diverse role of a small player in multiple cancers.Seminars in cell & developmental biology · 2022
    Review
  11. Functions of non-coding RNAs in regulating cancer drug targets.Acta biochimica et biophysica Sinica · 2022
    Review
  12. Review
  13. Article
  14. Article
  15. Cell Behavior of Non-Small Cell Lung Cancer Is at EGFR and MicroRNAs Hands.International journal of molecular sciences · 2021
    Review
  16. Article
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

9 authors at 3 institutions in 1 country.

Sachiko KawanaDepartment of Pathology, Tohoku University School of Medicine, Miyagi, Japan.ORCID 0000-0001-7146-6949
Ryoko SaitoDepartment of Pathology, Tohoku University School of Medicine, Miyagi, Japan.ORCID 0000-0003-3627-1788
Yasuhiro MikiDepartment of Pathology, Tohoku University School of Medicine, Miyagi, Japan.ORCID 0000-0003-3618-5652
Yuichiro KimuraDepartment of Respiratory Medicine, Sendai Kousei Hospital, Miyagi, Japan.
Jiro AbeDepartment of Thoracic Surgery, Miyagi Cancer Center, Miyagi, Japan.
Ikuro SatoDepartment of Pathology, Miyagi Cancer Center, Miyagi, Japan.
Mareyuki EndoDepartment of Pathology, Sendai Kousei Hospital, Miyagi, Japan.
Shunichi SugawaraDepartment of Respiratory Medicine, Sendai Kousei Hospital, Miyagi, Japan.
Hironobu SasanoDepartment of Pathology, Tohoku University School of Medicine, Miyagi, Japan.ORCID 0000-0002-6600-8641
Toho University · JPSendai Kousei Hospital · JPMiyagi Prefectural Hospital Organization · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immunotherapy is considered one of the most important therapeutic strategies for patients with lung adenocarcinoma after the development of epidermal growth factor receptor tyrosine kinase inhibitor (EGFR-TKI) resistance. However, useful predictors of immunotherapy for these patients has not been examined well, although the status of the tumor immune microenvironment (TIME), including programmed death-ligand 1 expression and lymphocyte infiltration, has been generally known to provide predictive markers for the efficacy of immunotherapy. This study aimed to clarify novel predictors of immunotherapy following EGFR-TKI resistance in lung adenocarcinoma, especially regarding micro RNA (miRNA). We evaluated the correlation between EGFR-TKI resistance and lymphocyte infiltration, before and after acquiring EGFR-TKI resistance, in 21 cases of lung adenocarcinoma, and further explored this by in vitro studies, using miRNA PCR arrays. Subsequently, we transfected miRNA-1 (miR-1), the most variable miRNA in this array, into three kinds of lung cancer cells, and examined the effects of miR-1 on EGFR-TKI sensitivity, cytokine expression and lymphocyte migration. Histopathological examination demonstrated that infiltration levels of CD8-positive T cells were significantly decreased after development of EGFR-TKI resistance. In vitro studies revealed that miR-1 significantly inhibited EGFR-TKI effect and induction of cytokines, such as C-C motif chemokine ligand 5 and C-X-C motif chemokine ligand 10, causing inhibition of monocyte migration. These results indicate that the upregulated miR-1 might suppress the TIME, following development of EGFR-TKI resistance. Therefore, miR-1 could be a clinically useful marker to predict therapeutic efficacy of immunotherapy in lung adenocarcinoma patients with EGFR-TKI resistance.

Indexed as

Drug Resistance, NeoplasmAdenocarcinoma of LungAgedAged, 80 and overBiomarkers, TumorErbB ReceptorsFemaleFollow-Up StudiesGene Expression Regulation, NeoplasticHumansLung NeoplasmsMaleMicroRNAsMiddle AgedPrognosisProtein Kinase InhibitorsBiomarkers, TumorEGFR protein, humanErbB ReceptorsMicroRNAsMIRN1 microRNA, humanProtein Kinase InhibitorsEGFR-TKI resistanceimmunotherapy predictormiR-1tumor immune microenvironment

Identifiers

PMID33305905
PMCPMC7877390
OpenAlexW3111757284

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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.