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  • [Eur J Nucl Med Mol Imaging.] Strong association of epidermal growth factor receptor status with breast cancer FDG uptake.

    2017년 09월호
    [Eur J Nucl Med Mol Imaging.] Strong association of epidermal growth factor receptor status with breast cancer FDG uptake.

    서울의료원, 성균관의대 / 이주희, 이은정*, 이경한*

  • 출처
    Eur J Nucl Med Mol Imaging.
  • 등재일
    2017 Aug
  • 저널이슈번호
    44(9):1438-1447.
  • 내용

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    (a) 3중음성 유방암 환자의 PET/CT에서 right breast mass가 매우 높은 FDG 섭취를 보였고(SUVmax = 15.6), 면역염색에서 EGFR이 강양성 이었음. (b) ER 양성 유방암 환자의 PET/CT에서 right breast mass가 낮은 FDG 섭취를 보였고(SUVmax = 2.2), 면역염색에서 EGFR은 음성이었음.


    Abstract

    PURPOSE:

    Imaging tumor FDG uptake could complement breast cancer biomarkers of risk and treatment response. Although breast cancer FDG uptake is reputedly influenced by major biomarker states, the role of epidermal growth factor receptor (EGFR) expression remains largely unexplored.

     

    METHODS:

    This is a retrospective study that included 499 patients with primary breast cancer at initial presentation. Tumor FDG uptake was measured on pretreatment PET/CT as maximum standardized uptake value (SUVmax), and biomarkers were assessed by immunohistochemistry of tumor tissue. Regression analysis was performed for predictors of high tumor FDG uptake (SUVmax ≥ 8.6).

     

    RESULTS:

    SUVmax was higher in ER- (36.5%; 11.2 ± 6.0 vs. 8.3 ± 5.3), PR- (42.3%; 10.9 ± 6.0 vs. 8.2 ± 5.2), and triple-negative tumors (19.8%; 12.0 ± 6.9 vs. 8.7 ± 5.2; all p < 0.0001). EGFR expression (28.5%) was more frequent in ER-, PR-, triple-negative, cytokeratin 5/6 (CK5/6) + and mutant P53 (mP53) + tumors (all p < 0.0001). EGFR+ was associated with higher SUVmax among all tumors (11.9 ± 6.0 vs. 8.3 ± 5.3), ER- tumors (p < 0.0001), PR- and + tumors (p < 0.0001 and 0.027), hormone receptor- and + tumors (p < 0.0001 and 0.004), human epidermal growth factor receptor 2 (HER2)- and + tumors (p < 0.0001 and 0.006), non-triple negative tumors (p < 0.0001), CK5/6- and + tumors (p = 0.021 and <0.0001), and mP53- and + tumors (p < 0.0001 and 0.008). Tumors had high FDG uptake in 73.2% of EGFR+ and 40.6% of EGFR- tumors. On regression analysis, significant multivariate predictors of high tumor FDG uptake were large size, EGFR+ and CK5/6+ for the entire subjects, and EGFR+ and CK5/6+ for ER- and hormone receptor negative subgroups. High FDG uptake was able to sub-stratify EGFR+ tumors that were more likely to be ER- and CK5/6+, and EGFR- tumors more likely to be mP53 +.

     

    CONCLUSIONS:

    Primary breast tumor FDG uptake is strongly influenced by EGFR status beyond that by other major biomarkers including hormone receptor and HER2 status, and EGFR expression is a strong independent predictor of high breast tumor FDG uptake.

     

    Author information

    Lee J1, Lee EJ2, Moon SH1, Kim S3, Hyun SH1, Cho YS1, Choi JY1, Kim BT1, Lee KH4.

    Department of Nuclear Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 50, Irwon-dong, Gangnam-gu, Seoul, 135-710, South Korea.

    Department of Nuclear Medicine, Seoul Medical Center, 156, Sinnae-ro, Jungnang-gu, Seoul, 131-795, South Korea. cateunjeong@naver.com.

    Department of Pathology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.

    Department of Nuclear Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 50, Irwon-dong, Gangnam-gu, Seoul, 135-710, South Korea. khnm.lee@samsung.com. 


    관련자료보기

    http://www.rmwebzine.re.kr/user/0033/nd54393.do?View&pageLS=10&page=1&pageSC=SORT_ORDER&pageSO=DESC&pageST=SUBJECT&boardNo=00001905 

  • 키워드
    18F–FDG; Breast cancer; Epidermal growth factor receptor; Hormone receptor; PET/CT​
  • 연구소개
    유방암에서 암세포의 grade, proliferative activity, 호르몬 수용체(ER, PR) 및 HER2 발현 여부와 FDG 섭취정도 사이의 상관관계에 대한 연구는 많았지만, 예후가 나쁘고 매우 공격적인 일부 유방암에서 흔히 발현되고 항에스트로젠 치료 저항성에도 중요한 역할을 하는 것으로 알려진 EGFR 발현여부와 FDG 섭취정도 사이의 상관관계에 대해 잘 알려져 있지 않았습니다. 이 연구에서는 EGFR status가 유방암의 FDG 섭취에 대한 주요하고 독립적인 결정요인임을 입증하였고, EGFR expression이 유방암의 FDG avidity에 대한 strong univariate and multivariate predictor임을 밝혔습니다.
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