Evidence map›Paper›PMID 38962554›Full record

ArticleCancer diagnosis & prognosis

Therapeutic Resistance in G-CSF Producing Lung Cancer With

Koki Ito, Kyoichi Kaira, Hisao Imai, Ayako Shiono, Kosuke Hashimoto, O U Yamaguchi, Hiroshi Kagamu

Abstract read
In one paragraph

Article in Cancer diagnosis & prognosis. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

7 authors.

Koki ItoDepartment of Respiratory Medicine, Comprehensive Cancer Center, International Medical Center, Saitama Medical University, Saitama, Japan.
Kyoichi KairaDepartment of Respiratory Medicine, Comprehensive Cancer Center, International Medical Center, Saitama Medical University, Saitama, Japan.
Hisao ImaiDepartment of Respiratory Medicine, Comprehensive Cancer Center, International Medical Center, Saitama Medical University, Saitama, Japan.
Ayako ShionoDepartment of Respiratory Medicine, Comprehensive Cancer Center, International Medical Center, Saitama Medical University, Saitama, Japan.
Kosuke HashimotoDepartment of Respiratory Medicine, Comprehensive Cancer Center, International Medical Center, Saitama Medical University, Saitama, Japan.
O U YamaguchiDepartment of Respiratory Medicine, Comprehensive Cancer Center, International Medical Center, Saitama Medical University, Saitama, Japan.
Hiroshi KagamuDepartment of Respiratory Medicine, Comprehensive Cancer Center, International Medical Center, Saitama Medical University, Saitama, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/Aim: Granulocyte colony-stimulating factor (G-CSF)-producing neoplasms are relatively rare; however, little is known on the clinical features of G-CSF-producing lung cancer harboring activating epidermal growth factor receptor (EGFR) mutations. Case Report: A 66-year-old female was definitively diagnosed with G-CSF-producing lung cancer that was positive for EGFR mutations. She repeatedly received epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs), such as osimertinib and afatinib. However, she developed resistance to these molecular-targeting drugs within 2 to 3 months after immediate shrinkage. Thus, the patient was treated with chemoimmunotherapy including bevacizumab, and demonstrated a slight survival benefit. Conclusion: Overall, G-CSF-producing lung cancers positive for EGFR mutations were resistant to different treatment modalities. Clinicians should be attentive to the potential resistance of G-CSF-producing EGFR mutant lung cancer to EGFR-TKI therapy.

Indexed as

EGFR mutationG-CSFlung cancer

Identifiers

PMID38962554
PMCPMC11215452

What OpenQuestion holds

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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.