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Amygdalar activity measured using FDG-PET/CT at head and neck cancer staging independently predicts survival.
Hassan, Malek Z O; Tawakol, Ahmed; Wang, Ying; Alvi, Raza M; Awadalla, Magid; Jones-O'Connor, Maeve; B Bakar, Rula; Banerji, Dahlia; Rokicki, Adam; Zhang, Lili; Mulligan, Connor P; Osborne, Michael T; Zarif, Azmaeen; Hammad, Basma; Chan, Annie W; Wirth, Lori J; Warner, Erica T; Pitman, Roger K; Armstrong, Katrina A; Addison, Daniel; Neilan, Tomas G.
Afiliação
  • Hassan MZO; Cardiovascular Imaging Research Center, Department of Radiology and Division of Cardiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States of America.
  • Tawakol A; Royal Papworth Hospital, Trumpington, Cambridge, United Kingdom.
  • Wang Y; Cardio-Oncology Program, Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States of America.
  • Alvi RM; Cardiovascular Imaging Research Center, Department of Radiology and Division of Cardiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States of America.
  • Awadalla M; Nuclear Cardiology, Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States of America.
  • Jones-O'Connor M; Cardiovascular Imaging Research Center, Department of Radiology and Division of Cardiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States of America.
  • B Bakar R; Department of Nuclear Medicine, The First Hospital of China Medical University, Shenyang, China.
  • Banerji D; Cardiovascular Imaging Research Center, Department of Radiology and Division of Cardiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States of America.
  • Rokicki A; Cardio-Oncology Program, Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States of America.
  • Zhang L; Cardiovascular Imaging Research Center, Department of Radiology and Division of Cardiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States of America.
  • Mulligan CP; Cardio-Oncology Program, Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States of America.
  • Osborne MT; Cardiovascular Imaging Research Center, Department of Radiology and Division of Cardiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States of America.
  • Zarif A; Department of Medical Sciences, Oxford University, Oxford, United Kingdom.
  • Hammad B; Cardiovascular Imaging Research Center, Department of Radiology and Division of Cardiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States of America.
  • Chan AW; Cardiovascular Imaging Research Center, Department of Radiology and Division of Cardiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States of America.
  • Wirth LJ; Cardiovascular Imaging Research Center, Department of Radiology and Division of Cardiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States of America.
  • Warner ET; Cardiovascular Imaging Research Center, Department of Radiology and Division of Cardiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States of America.
  • Pitman RK; Cardiovascular Imaging Research Center, Department of Radiology and Division of Cardiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States of America.
  • Armstrong KA; Nuclear Cardiology, Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States of America.
  • Addison D; Royal Papworth Hospital, Trumpington, Cambridge, United Kingdom.
  • Neilan TG; Cardiovascular Imaging Research Center, Department of Radiology and Division of Cardiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States of America.
PLoS One ; 18(8): e0279235, 2023.
Article em En | MEDLINE | ID: mdl-37540647
ABSTRACT
IMPORTANCE The mechanisms underlying the association between chronic stress and higher mortality among individuals with cancer remain incompletely understood.

OBJECTIVE:

To test the hypotheses that among individuals with active head and neck cancer, that higher stress-associated neural activity (ie. metabolic amygdalar activity [AmygA]) at cancer staging associates with survival.

DESIGN:

Retrospective cohort study.

SETTING:

Academic Medical Center (Massachusetts General Hospital, Boston).

PARTICIPANTS:

240 patients with head and neck cancer (HNCA) who underwent 18F-FDG-PET/CT imaging as part of initial cancer staging. MEASUREMENTS 18F-FDG uptake in the amygdala was determined by placing circular regions of interest in the right and left amygdalae and measuring the mean tracer accumulation (i.e., standardized uptake value [SUV]) in each region of interest. Amygdalar uptake was corrected for background cerebral activity (mean temporal lobe SUV).

RESULTS:

Among individuals with HNCA (age 59±13 years; 30% female), 67 died over a median follow-up period of 3 years (IQR 1.7-5.1). AmygA associated with heightened bone marrow activity, leukocytosis, and C-reactive protein (P<0.05 each). In adjusted and unadjusted analyses, AmygA associated with subsequent mortality (HR [95% CI] 1.35, [1.07-1.70], P = 0.009); the association persisted in stratified subset analyses restricted to patients with advanced cancer stage (P<0.001). Individuals within the highest tertile of AmygA experienced a 2-fold higher mortality rate compared to others (P = 0.01). The median progression-free survival was 25 months in patients with higher AmygA (upper tertile) as compared with 36.5 months in other individuals (HR for progression or death [95%CI], 1.83 [1.24-2.68], P = 0.001). CONCLUSIONS AND RELEVANCE AmygA, quantified on routine 18F-FDG-PET/CT images obtained at cancer staging, independently and robustly predicts mortality and cancer progression among patients with HNCA. Future studies should test whether strategies that attenuate AmygA (or its downstream biological consequences) may improve cancer survival.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fluordesoxiglucose F18 / Neoplasias de Cabeça e Pescoço Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fluordesoxiglucose F18 / Neoplasias de Cabeça e Pescoço Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2023 Tipo de documento: Article