Evidence map›Paper›PMID 26200273›Full record

ArticleJournal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer2015

Total Lesion Glycolysis in Positron Emission Tomography Can Predict Gefitinib Outcomes in Non-Small-Cell Lung Cancer with Activating EGFR Mutation.

Bhumsuk Keam, Soo Jin Lee, Tae Min Kim, Jin Chul Paeng, Se-Hoon Lee, Dong-Wan Kim, Yoon Kyung Jeon, Doo Hyun Chung, Keon Wook Kang, June-Key Chung and 1 more

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In one paragraph

Article in Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.6field-weighted citation impact, top 10% 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, 29 citations in OpenAlex.

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  7. KSNM60 in Clinical Nuclear Oncology.Nuclear medicine and molecular imaging · 2021
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  11. Diagnostic and Predictive Values ofCancer management and research · 2020
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 2 institutions in 1 country.

Bhumsuk Keam*Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea; †Cancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea; ‡Department of Nuclear Medicine, and §Department of Pathology, Seoul National University Hospital, Seoul, Republic of Korea.
Soo Jin Lee
Tae Min Kim
Jin Chul Paeng
Se-Hoon Lee
Dong-Wan Kim
Yoon Kyung Jeon
Doo Hyun Chung
Keon Wook Kang
June-Key Chung
Dae Seog Heo
Seoul National University · KRSeoul National University Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe purpose of this study was to evaluate the predictive role of quantitative metabolic parameters using total lesion glycolysis (TLG) in F-2-fluoro-2-deoxyglucose-positron emission tomography/computed tomography for developing gefitinib resistance in epidermal growth factor receptor (EGFR)-mutant non-small-cell lung cancer (NSCLC) patients treated with first-line gefitinib.

methodsA total of 75 NSCLC patients harboring activating EGFR mutation and receiving first-line gefitinib were analyzed. Whole-body F-2-fluoro-2-deoxyglucose positron emission tomography/computed tomography scans were acquired before first-line gefitinib. The maximal standardized uptake value and TLG of all lesions were calculated. Maximal standardized uptake value and TLG were categorized using the tertile cutoff. Treatment outcomes were compared between groups.

resultsOverall response rate of gefitinib was 69.4%, and median progression-free survival (PFS) of gefitinib was 11.5 months. Overall response rates were similar between low, intermediate, and high TLG groups (68.0% versus 76.0% versus 68.0%, p = 0.274). However, PFS significantly differed by TLG groups, and high TLG was associated with shorter PFS (7.2 months in high TLG; 11.9 months in intermediate TLG; and 24.2 months in low, p < 0.001). Multivariate models adjusted for disease status and response to gefitinib showed that TLG was an independent predictive factor for PFS. TLG was also significantly associated with overall survival (p = 0.005).

conclusionTLG can predict PFS and development of gefitinib resistance in EGFR-mutant NSCLC patients treated with first-line gefitinib. Baseline metabolic tumor burdens measured with TLG before first-line gefitinib will be of great help in predicting time to acquired resistance.

Indexed as

GlycolysisAdultAgedAged, 80 and overAntineoplastic AgentsCarcinoma, Non-Small-Cell LungDisease-Free SurvivalDrug Resistance, NeoplasmErbB ReceptorsFemaleFluorodeoxyglucose F18GefitinibHumansLung NeoplasmsMaleMiddle AgedAntineoplastic AgentsEGFR protein, humanErbB ReceptorsFluorodeoxyglucose F18GefitinibQuinazolines

Identifiers

PMID26200273
OpenAlexW2233753612

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.