Literature DB >> 32151195

Overt Thyroid Dysfunction and Anti-Thyroid Antibodies Predict Response to Anti-PD-1 Immunotherapy in Cancer Patients.

Edwin A Basak1, Jan W M van der Meer1, Daan P Hurkmans1,2, Marco W J Schreurs3, Esther Oomen-de Hoop1, Astrid A M van der Veldt1,4, Sander Bins1, Arjen Joosse1, Stijn L W Koolen1,5, Reno Debets1, Robin P Peeters6, Joachim G J V Aerts2, Ron H J Mathijssen1, Marco Medici6,7.   

Abstract

Background: Thyroid dysfunction is among the most common adverse effects during anti-programmed cell death 1 (PD-1) immunotherapy, and alongside correlations with elevated anti-thyroid antibodies (ATAb), studies have found correlations with survival. However, the exact relations remain to be clarified. We, therefore, aimed at clarifying the relationship between thyroid dysfunction, ATAbs, and survival in anti-PD-1 treated cancer patients.
Methods: We included 168 patients with nonsmall-cell lung carcinoma, renal cell carcinoma, and metastatic melanoma treated with nivolumab or pembrolizumab. Thyrotropin and free T4 (fT4) levels were measured before each anti-PD-1 infusion. ATAb levels (anti-thyroid peroxidase [TPO] and anti-thyroglobulin [Tg]) were measured at baseline and after two months of treatment. Although the vast majority of patients had detectable levels of ATABs, only a few patients had positive ATAbs when using conventional cut-offs. To study the consequences of detectable ATABs, the cut-off levels were a priori set at the median concentrations at baseline in the study population. Tumor progression was classified according to RECIST v1.1.
Results: Patients who acquired overt thyroid dysfunction during treatment had significantly higher overall survival (OS) (hazard ratio [HR] = 0.18 confidence interval [CI: 0.04-0.76]; p = 0.020) and progression-free survival (PFS) (HR = 0.39 [0.15-0.998]; p = 0.050) than patients without thyroid dysfunction with 1-year OS rates of 94% vs. 59% and 1-year PFS rates of 64% vs. 34%. During treatment, patients with ATAb levels above the median had a higher OS (HR = 0.39 [0.21-0.72]; p = 0.003) and PFS (HR = 0.52 [0.33-0.81]; p = 0.004) than patients with ATAb levels below the median, with 1-year OS rates of 83% vs. 49% and PFS rates of 54% vs. 20%, respectively. When analyzing ATAb levels over time, patients with a persistent ATAb level above the median had a higher OS (HR = 0.41 [0.19-0.89], p = 0.025) and PFS (HR = 0.54 [0.31-0.95], p = 0.032) compared with patients with a persistent ATAb level below the median. Patients whose ATAb levels increased above the median during treatment had an improved OS (HR = 0.27 [0.06-1.22], p = 0.088) and PFS (HR = 0.24 [0.07-0.77], p = 0.017) compared with patients whose ATAb levels decreased below the median. Conclusions: Acquired overt thyroid toxicity and above median ATAb levels during anti-PD-1 treatment are associated with improved PFS and OS. In addition, our results suggest that ATAb levels at baseline are of clinical relevance for PFS and OS.

Entities:  

Keywords:  anti-PD-1 immunotherapy; anti-thyroid antibodies; melanoma; nonsmall-cell lung cancer; renal cell carcinoma; thyroid toxicity

Mesh:

Substances:

Year:  2020        PMID: 32151195     DOI: 10.1089/thy.2019.0726

Source DB:  PubMed          Journal:  Thyroid        ISSN: 1050-7256            Impact factor:   6.568


  18 in total

Review 1.  Associations between immune-related thyroid dysfunction and efficacy of immune checkpoint inhibitors: a systematic review and meta-analysis.

Authors:  Yee-Ming Melody Cheung; Wei Wang; Bradley McGregor; Ole-Petter Riksfjord Hamnvik
Journal:  Cancer Immunol Immunother       Date:  2022-01-13       Impact factor: 6.630

2.  The various faces of hyperthyroidism.

Authors:  Christian A Koch; Roberto Vita; Salvatore Benvenga
Journal:  J Clin Transl Endocrinol       Date:  2020-06-05

Review 3.  Prospective role of thyroid disorders in monitoring COVID-19 pandemic.

Authors:  Kanchan Kumari; Gagan B N Chainy; Umakanta Subudhi
Journal:  Heliyon       Date:  2020-12-13

Review 4.  Clinical Characteristics, Management, and Potential Biomarkers of Endocrine Dysfunction Induced by Immune Checkpoint Inhibitors.

Authors:  Shintaro Iwama; Tomoko Kobayashi; Hiroshi Arima
Journal:  Endocrinol Metab (Seoul)       Date:  2021-04-27

5.  Characteristics of Immune-Related Thyroid Adverse Events in Patients Treated with PD-1/PD-L1 Inhibitors.

Authors:  Jee Hee Yoon; A Ram Hong; Hee Kyung Kim; Ho-Cheol Kang
Journal:  Endocrinol Metab (Seoul)       Date:  2021-04-06

6.  T cell exhaustion is associated with the risk of papillary thyroid carcinoma and can be a predictive and sensitive biomarker for diagnosis.

Authors:  Chumeng Zhu; Yuechu Dai; Hui Zhang; Yanyun Ruan; Yong Zhou; Yingjie Dai; Lilong Fan; Tianjun Jia; Hongsheng Lu; Qi Chen
Journal:  Diagn Pathol       Date:  2021-08-31       Impact factor: 2.644

7.  Baseline serum TSH levels predict the absence of thyroid dysfunction in cancer patients treated with immunotherapy.

Authors:  L Brilli; R Danielli; M Campanile; C Secchi; C Ciuoli; L Calabrò; T Pilli; A Cartocci; F Pacini; A M Di Giacomo; M G Castagna
Journal:  J Endocrinol Invest       Date:  2020-12-26       Impact factor: 4.256

8.  Thyroid Dysfunction in Lung Cancer Patients Treated with Immune Checkpoint Inhibitors (ICIs): Outcomes in a Multiethnic Urban Cohort.

Authors:  Angelica D'Aiello; Juan Lin; Rasim Gucalp; Vafa Tabatabaie; Haiying Cheng; Noah A Bloomgarden; Yaron Tomer; Balazs Halmos
Journal:  Cancers (Basel)       Date:  2021-03-23       Impact factor: 6.639

9.  Higher baseline TSH levels predict early hypothyroidism during cancer immunotherapy.

Authors:  C Luongo; R Morra; C Gambale; T Porcelli; F Sessa; E Matano; V Damiano; M Klain; M Schlumberger; D Salvatore
Journal:  J Endocrinol Invest       Date:  2021-02-12       Impact factor: 4.256

10.  Immune Checkpoint Inhibitors-Related Thyroid Dysfunction: Epidemiology, Clinical Presentation, Possible Pathogenesis, and Management.

Authors:  Ling Zhan; Hong-Fang Feng; Han-Qing Liu; Lian-Tao Guo; Chuang Chen; Xiao-Li Yao; Sheng-Rong Sun
Journal:  Front Endocrinol (Lausanne)       Date:  2021-06-10       Impact factor: 5.555

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