Evidence map›Paper›PMID 24900056›Full record

ArticleNuclear medicine and molecular imaging2012

Correlation between (18)f-fluorodeoxyglucose uptake and epidermal growth factor receptor mutations in advanced lung cancer.

Yun-Jung Choi, Byoung Chul Cho, Yong Hyu Jeong, Hyo Jung Seo, Hyun Jeong Kim, Arthur Cho, Jae Hoon Lee, Mijin Yun, Tae Joo Jeon, Jong Doo Lee and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Nuclear medicine and molecular imaging, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
0.2field-weighted citation impact, top 35% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. CanBMJ open · 2021
    Pooled it
  2. Article
  3. Review
  4. Review
  5. Prediction of EGFR Mutation Status Based onFrontiers in oncology · 2021
    Article
  6. Oncology letters · 2020
    Article
  7. Predicting EGFR mutation subtypes in lung adenocarcinoma usingTranslational lung cancer research · 2020
    Article
  8. Influx rate constant ofEuropean journal of nuclear medicine and molecular imaging · 2020
    Observational
  9. Article
  10. Correlations Study BetweenFrontiers in oncology · 2019
    Article
  11. Value ofEuropean journal of nuclear medicine and molecular imaging · 2018
    Article
  12. Article
  13. Associations Between Somatic Mutations and Metabolic Imaging Phenotypes in Non-Small Cell Lung Cancer.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2017
    Article
  14. 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

11 authors at 2 institutions in 1 country.

Yun-Jung ChoiDepartment of Nuclear Medicine, Yonsei University Health System, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-752 Republic of Korea.
Byoung Chul ChoDepartment of Internal Medicine, Yonsei University Health System, Seoul, Republic of Korea.
Yong Hyu JeongDepartment of Nuclear Medicine, Yonsei University Health System, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-752 Republic of Korea.
Hyo Jung SeoDepartment of Nuclear Medicine, Yonsei University Health System, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-752 Republic of Korea.
Hyun Jeong KimDepartment of Nuclear Medicine, Yonsei University Health System, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-752 Republic of Korea.
Arthur ChoDepartment of Nuclear Medicine, Yonsei University Health System, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-752 Republic of Korea.
Jae Hoon LeeDepartment of Nuclear Medicine, Yonsei University Health System, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-752 Republic of Korea.
Mijin YunDepartment of Nuclear Medicine, Yonsei University Health System, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-752 Republic of Korea.
Tae Joo JeonDepartment of Nuclear Medicine, Yonsei University Health System, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-752 Republic of Korea.
Jong Doo LeeDepartment of Nuclear Medicine, Yonsei University Health System, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-752 Republic of Korea.
Won Jun KangDepartment of Nuclear Medicine, Yonsei University Health System, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-752 Republic of Korea.
Yonsei University · KRYonsei University Health System · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeMutations in the epidermal growth factor receptor (EGFR) gene have been identified as potential targets for the treatment and prognostic factors for non-small cell lung cancer (NSCLC). We assessed the correlation between fluorodeoxyglucose (FDG) uptake and EGFR mutations, as well as their prognostic implications.

methodsA total of 163 patients with pathologically confirmed NSCLC were enrolled (99 males and 64 females; median age, 60 years). All patients underwent FDG positron emission tomography before treatment, and genetic studies of EGFR mutations were performed. The maximum standardized uptake value (SUVmax) of the primary lung cancer was measured and normalized with regard to liver uptake. The SUVmax between the wild-type and EGFR mutant groups was compared. Survival was evaluated according to SUVmax and EGFR mutation status.

resultsEGFR mutations were found in 57 patients (60.8 %). The SUVmax tended to be higher in wild-type than mutant tumors, but was not significantly different (11.1 ± 5.7 vs. 9.8 ± 4.4, P = 0.103). The SUVmax was significantly lower in patients with an exon 19 mutation than in those with either an exon 21 mutation or wild type (P = 0.003 and 0.009, respectively). The EGFR mutation showed prolonged overall survival (OS) compared to wild-type tumors (P = 0.004). There was no significant difference in survival according to SUVmax. Both OS and progression-free survival of patients with a mutation in exon 19 were significant longer than in patients with wild-type tumors.

conclusionIn patients with NSCLC, a mutation in exon 19 was associated with a lower SUVmax and is a reliable predictor for good survival.

Indexed as

18F-fluoro-2-deoxy-D-glucose positron emission tomography (18F-FDG PET)Epidermal growth factor receptor (EGFR) geneNon-small cell lung cancer

Identifiers

PMID24900056
PMCPMC4043041
OpenAlexW2107861949

What OpenQuestion holds

Textmetadata
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.