Evidence map›Paper›PMID 24652232›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2014

Correlation of breast cancer subtypes, based on estrogen receptor, progesterone receptor, and HER2, with functional imaging parameters from ⁶⁸Ga-RGD PET/CT and ¹⁸F-FDG PET/CT.

Hai-Jeon Yoon, Keon Wook Kang, In Kook Chun, Nariya Cho, Seock-Ah Im, Sunjoo Jeong, Song Lee, Kyeong Cheon Jung, Yun-Sang Lee, Jae Min Jeong and 3 more

Abstract read
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In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
8.3field-weighted citation impact, top 2% 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

37 citing papers in PubMed, 84 citations in OpenAlex.

  1. Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2018
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  9. Pharmaceuticals (Basel, Switzerland) · 2022
    Article
  10. KSNM60: The History of Radiopharmaceutical Sciences in Korea.Nuclear medicine and molecular imaging · 2022
    Review
  11. Article
  12. Review
  13. Advances in Clinical Oncology Research onFrontiers in oncology · 2022
    Review
  14. Article
  15. Article
  16. Review
  17. European journal of nuclear medicine and molecular imaging · 2019
    Article
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 3 institutions in 1 country.

Hai-Jeon YoonDepartment of Nuclear Medicine, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul, 110-744, Korea.
Keon Wook Kang
In Kook Chun
Nariya Cho
Seock-Ah Im
Sunjoo Jeong
Song Lee
Kyeong Cheon Jung
Yun-Sang Lee
Jae Min Jeong
Dong Soo Lee
June-Key Chung
Woo Kyung Moon
Seoul National University · KRDankook University · KRKangwon National University Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeImaging biomarkers from functional imaging modalities were assessed as potential surrogate markers of disease status. Specifically, in this prospective study, we investigated the relationships between functional imaging parameters and histological prognostic factors and breast cancer subtypes.

methodsIn total, 43 patients with large or locally advanced invasive ductal carcinoma (IDC) were analyzed (47.6 ± 7.5 years old). (68)Ga-Labeled arginine-glycine-aspartic acid (RGD) and (18)F-fluorodeoxyglucose (FDG) positron emission tomography/computed tomography (PET/CT) were performed. The maximum and average standardized uptake values (SUVmax and SUVavg) from RGD PET/CT and SUVmax and SUVavg from FDG PET/CT were the imaging parameters used. For histological prognostic factors, estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2) expression was identified using immunohistochemistry (IHC) or fluorescent in situ hybridization (FISH). Four breast cancer subtypes, based on ER/PR and HER2 expression (ER/PR+,Her2-, ER/PR+,Her2+, ER/PR-,Her2+, and ER/PR-,Her2-), were considered.

resultsQuantitative FDG PET parameters were significantly higher in the ER-negative group (15.88 ± 8.73 vs 10.48 ± 6.01, p = 0.02 for SUVmax; 9.40 ± 5.19 vs 5.92 ± 4.09, p = 0.02 for SUVavg) and the PR-negative group (8.37 ± 4.94 vs 4.79 ± 3.93, p = 0.03 for SUVavg). Quantitative RGD PET parameters were significantly higher in the HER2-positive group (2.42 ± 0.59 vs 2.90 ± 0.75, p = 0.04 for SUVmax; 1.60 ± 0.38 vs 1.95 ± 0.53, p = 0.04 for SUVavg) and showed a significant positive correlation with the HER2/CEP17 ratio (r = 0.38, p = 0.03 for SUVmax and r = 0.46, p < 0.01 for SUVavg). FDG PET parameters showed significantly higher values in the ER/PR-,Her2- subgroup versus the ER/PR+,Her2- or ER/PR+,Her2+ subgroups, while RGD PET parameters showed significantly lower values in the ER/PR-,Her2- subgroup versus the other subgroups. There was no correlation between FDG and RGD PET parameters in the overall group. Only the ER/PR-,Her2- subgroup showed a significant positive correlation between FDG and RGD PET parameters (r = 0.59, p = 0.03 for SUVmax).

conclusion(68)Ga-RGD and (18)F-FDG PET/CT are promising functional imaging modalities for predicting biomarkers and molecular phenotypes in breast cancer patients.

Indexed as

Positron-Emission TomographyAdultBiomarkers, TumorBreast NeoplasmsCarcinoma, Ductal, BreastCoordination ComplexesErb-b2 Receptor Tyrosine KinasesFemaleFluorodeoxyglucose F18HumansMiddle AgedMultimodal ImagingOligopeptidesRadiopharmaceuticalsReceptors, EstrogenReceptors, Progesterone68Ga-1,4,7-triazacyclononane-1,4-7-triacetic acid-isothiocyanatobenzyl-c(Arg-Gly-Asp-Tyr-Lys)Biomarkers, TumorCoordination ComplexesERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesFluorodeoxyglucose F18OligopeptidesRadiopharmaceuticalsReceptors, EstrogenReceptors, Progesterone

Identifiers

PMID24652232
OpenAlexW2020542255

What OpenQuestion holds

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Registered trials

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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.