Evidence map›Paper›PMID 26984681›Full record

Trial reportCancer imaging : the official publication of the International Cancer Imaging Society2016

Volume-based growth tumor kinetics as a prognostic biomarker for patients with EGFR mutant lung adenocarcinoma undergoing EGFR tyrosine kinase inhibitor therapy: a case control study.

Ji Hyun Lee, Ho Yun Lee, Myung-Ju Ahn, Keunchil Park, Jin Seok Ahn, Jong-Mu Sun, Kyung Soo Lee

Open access · goldAbstract readClinical Trial, Phase IIComparative StudyRandomized Controlled Trial
In one paragraph

Trial report in Cancer imaging : the official publication of the International Cancer Imaging Society, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
4.1field-weighted citation impact, top 6% 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, 2 syntheses or guidelines pooled it, 31 citations in OpenAlex.

  1. Guideline
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Radiomics in lung cancer for oncologists.Journal of clinical and translational research · 2020
    Article
  9. Tumor volume dynamics and tumor growth rate inEuropean journal of radiology open · 2020
    Article
  10. Review
  11. Article
  12. Article
  13. Journal of the Royal Society, Interface · 2018
    Article
  14. Novel Quantitative Imaging for Predicting Response to Therapy: Techniques and Clinical Applications.American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting · 2018
    Review
  15. Article
  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

7 authors at 2 institutions in 1 country.

Ji Hyun LeeDepartment of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 135-710, South Korea.
Ho Yun LeeDepartment of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 135-710, South Korea. hoyunlee96@gmail.com.
Myung-Ju AhnDivision of Hemato-Oncology of the Department of Internal Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 135-710, South Korea.
Keunchil ParkDivision of Hemato-Oncology of the Department of Internal Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 135-710, South Korea.
Jin Seok AhnDivision of Hemato-Oncology of the Department of Internal Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 135-710, South Korea.
Jong-Mu SunDivision of Hemato-Oncology of the Department of Internal Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 135-710, South Korea.
Kyung Soo LeeDepartment of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 135-710, South Korea.
Sungkyunkwan University · KRSamsung Medical Center · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe aim to determine whether volumetric assessment has the potential to serve as a prognostic biomarker, and to assess the relationship between longitudinal tumor data during treatment and prognosis in lung adenocarcinoma patients with sensitizing EGFR mutations treated with EGFR tyrosine kinase inhibitors (TKI).

methodsWe retrospectively assessed patients with EGFR-mutant stage IV lung adenocarcinoma who were treated with EGFR TKIs until disease progression. CT studies of 106 patients were quantitatively analyzed in terms of tumor size and volume by comparing baseline and follow-up CT scans obtained at every two treatment cycles. Tumor response was quantified using longitudinal measurements, and tumor growth kinetics was determined. Correlation with early surrogate parameters for tumor response evaluation such as change in size, volume, and response rate was performed. The Cox-proportional hazard model and Log-rank test were used to predict overall survival (OS).

resultsResponders based on the percent change in volume after four cycles of TKI therapy had a higher OS than non-responders (P = 0.035). The percent of volume and size changes after four cycles of TKI therapy were significantly correlated with TTP (P < 0.001).

conclusionVolume measurements and corresponding rates of growth appear to be helpful adjuncts for predicting survival in patients undergoing EGFR-TKI therapy.

Indexed as

AdenocarcinomaAdenocarcinoma of LungAdultAgedAged, 80 and overAntineoplastic AgentsBiomarkers, TumorCase-Control StudiesContrast MediaDisease ProgressionErbB ReceptorsErlotinib HydrochlorideFemaleFollow-Up StudiesGefitinibHumansAntineoplastic AgentsBiomarkers, TumorContrast MediaErbB ReceptorsErlotinib HydrochlorideGefitinibProtein Kinase InhibitorsQuinazolinesBiomarkersGrowth kineticsPrognosisQuantitative analysisTumor volume

Identifiers

PMID26984681
PMCPMC4794857
OpenAlexW2302298659

What OpenQuestion holds

Textmetadata
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.