Evidence map›Paper›PMID 32207251›Full record

ArticleCancer medicine2020

Fibroblast growth factor receptor 1 gene amplification and protein expression in human lung cancer.

Omar Elakad, Anna-Maria Lois, Katja Schmitz, Sha Yao, Sara Hugo, Laura Lukat, Marc Hinterthaner, Bernhard C Danner, Alexander von Hammerstein-Equord, Kirsten Reuter-Jessen and 3 more

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

13 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
  2. Article
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  4. Oncogene alterations in non-small cell lung cancer withTranslational lung cancer research · 2024
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  8. Review
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  11. One carbon metabolism in human lung cancer.Translational lung cancer research · 2021
    Article
  12. Review
  13. 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

13 authors at 1 institution in 1 country.

Omar ElakadInstitute of Pathology, University Medical Center, Göttingen, Germany.ORCID 0000-0002-2633-9550
Anna-Maria LoisInstitute of Pathology, University Medical Center, Göttingen, Germany.
Katja SchmitzInstitute of Pathology, University Medical Center, Göttingen, Germany.
Sha YaoInstitute of Pathology, University Medical Center, Göttingen, Germany.
Sara HugoInstitute of Pathology, University Medical Center, Göttingen, Germany.
Laura LukatInstitute of Pathology, University Medical Center, Göttingen, Germany.
Marc HinterthanerDepartment of Thoracic and Cardiovascular Surgery, University Medical Center, Göttingen, Germany.
Bernhard C DannerDepartment of Thoracic and Cardiovascular Surgery, University Medical Center, Göttingen, Germany.
Alexander von Hammerstein-EquordDepartment of Thoracic and Cardiovascular Surgery, University Medical Center, Göttingen, Germany.
Kirsten Reuter-JessenInstitute of Pathology, University Medical Center, Göttingen, Germany.
Hans-Ulrich SchildhausInstitute of Pathology, University Medical Center, Göttingen, Germany.
Philipp StröbelInstitute of Pathology, University Medical Center, Göttingen, Germany.
Hanibal BohnenbergerInstitute of Pathology, University Medical Center, Göttingen, Germany.ORCID 0000-0003-1038-1030
Universitätsmedizin Göttingen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTargeting fibroblast growth factor receptor 1 (FGFR1) is a potential treatment for squamous cell lung cancer (SQCLC). So far, treatment decision in clinical studies is based on gene amplification. However, only a minority of patients have shown durable response. Furthermore, former studies have revealed contrasting results regarding the impact of FGFR1 amplification and expression on patient's prognosis.

aimsHere, we analyzed prevalence and correlation of FGFR1 gene amplification and protein expression in human lung cancer and their impact on overall survival. MATERIALS & 

methodsFGFR1 gene amplification and protein expression were analyzed by fluorescence in situ hybridization and immunohistochemistry (IHC) in 208 SQCLC and 45 small cell lung cancers (SCLC). Furthermore, FGFR1 protein expression was analyzed in 121 pulmonary adenocarcinomas (ACs). Amplification and expression were correlated to each other, clinicopathological characteristics, and overall survival.

resultsFGFR1 was amplified in 23% of SQCLC and 8% of SCLC. Amplification was correlated to males (P = .027) but not to overall survival. Specificity of immunostaining was verified by cellular CRISPR/Cas9 FGFR1 knockout. FGFR1 was strongly expressed in 9% of SQCLC, 35% of AC, and 4% of SCLC. Expression was correlated to females (P = .0187) and to the absence of lymph node metastasis in SQCLC (P = .018) with no significant correlation to overall survival. Interestingly, no significant correlation between amplification and expression was detected. DISCUSSION: FGFR1 gene amplification does not seem to correlate to protein expression.

conclusionWe believe that patient selection for FGFR1 inhibitors in clinical studies should be reconsidered. Neither FGFR1 amplification nor expression influences patient's prognosis.

Indexed as

Adenocarcinoma of LungAdultAgedAged, 80 and overCarcinoma, Squamous CellFemaleGene AmplificationHumansLung NeoplasmsMaleMiddle AgedNeoplasm StagingPrognosisProtein Kinase InhibitorsReceptor, Fibroblast Growth Factor, Type 1Small Cell Lung CarcinomaFGFR1 protein, humanProtein Kinase InhibitorsReceptor, Fibroblast Growth Factor, Type 1CRISPR/Cas9FGFR1fluorescence in situ hybridizationimmunohistochemistrylung cancer

Identifiers

PMID32207251
PMCPMC7288860
OpenAlexW3012936408

What OpenQuestion holds

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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.