Literature DB >> 32487636

Tumor-infiltrating Lymphocyte Score Based on FDG PET/CT for Predicting the Effect of Neoadjuvant Chemotherapy in Breast Cancer.

Shinsuke Sasada1, Yuri Kimura2, Akiko Emi2, Norio Masumoto2, Takayuki Kadoya2, Koji Arihiro3, Morihito Okada2.   

Abstract

AIM: To investigate whether tumor-infiltrating lymphocyte (TIL) scoring based on 18F-fluorodeoxyglucose positron-emission tomography/computed tomography (FDG PET/CT) can predict the pathological response to neoadjuvant chemotherapy. PATIENTS AND METHODS: A total of 261 patients with breast cancer underwent complete resection after neoadjuvant chemotherapy. PET-TIL score was calculated using tumor size, Ki-67 labeling index, and maximum standardized uptake value (SUVmax) on FDG PET/CT. The efficacy of the PET-TIL score in predicting the pathological complete response (pCR) was retrospectively evaluated.
RESULTS: pCR rates were 11.4%, 58.6%, and 38.8% in luminal, human epidermal growth factor receptor 2 (HER2)-positive, and triple-negative breast cancer, respectively. The corresponding median PET-TIL scores were 28, 37, and 45. pCR rates were 20.0% and 44.2% in the low and high PET-TIL score groups, respectively (p<0.001). HER2-positive and triple-negative subtypes and high PET-TIL score were independent predictors for pCR.
CONCLUSION: PET-TIL score can predict pCR after neoadjuvant chemotherapy in breast cancer. Copyright
© 2020, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.

Entities:  

Keywords:  Breast cancer; PET; SUV; neoadjuvant chemotherapy; pathological complete response; tumor-infiltrating lymphocyte

Year:  2020        PMID: 32487636     DOI: 10.21873/anticanres.14323

Source DB:  PubMed          Journal:  Anticancer Res        ISSN: 0250-7005            Impact factor:   2.480


  4 in total

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Review 3.  The immune modifying effects of chemotherapy and advances in chemo-immunotherapy.

Authors:  Daniel R Principe; Suneel D Kamath; Murray Korc; Hidayatullah G Munshi
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4.  Malignant prediction of incidental findings using ring-type dedicated breast positron emission tomography.

Authors:  Shinsuke Sasada; Norio Masumoto; Akiko Emi; Takayuki Kadoya; Morihito Okada
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  4 in total

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