Dataset Information

Depressed Mood as a Significant Risk Factor for Gynecological Cancer Aggravation.

ABSTRACT:

Background

The aim of this study was to evaluate the relationship between depressed mood and gynecological cancer outcomes, identifying risk factors for cancer aggravation.

Methods

This study was a retrospective analysis of gynecological cancer patients (January 2020-August 2022) at Korea University Anam Hospital using Patient Health Questionnaire-9 (PHQ-9). Patients were classified into non-depressed mood (NDM)- and depressed mood (DM)-based scores. Statistical analysis was performed using Student's t-test, chi-square test, Fisher's exact test, Kaplan-Meier analysis, and Cox regression analyzing using SPSS.

Results

Of the 217 participants, the NDM group comprised 129 patients, and the DM group comprised 88. The two-year disease-free survival (DFS) rates showed significant differences (NDM, 93.6%; DM 86.4%; p = 0.006), but overall survival (OS) did not (p = 0.128). Patients with stage 3 or higher cancer, undergoing five or more chemotherapies, experiencing post-chemotherapy side effects, and depressed mood had an increased risk of cancer aggravation.

Conclusions

Appropriate treatment of depressed mood, as well as adequate treatment for advanced gynecological cancer patients, those with numerous CTx., and those with post-CTx. side effects, may contribute to reducing the risk of cancer aggravation.

SUBMITTER: Lee SM

PROVIDER: S-EPMC10573065 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature

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Publications

Depressed Mood as a Significant Risk Factor for Gynecological Cancer Aggravation.

Lee Seon-Mi SM Song Jae-Yun JY Seol Aeran A Lee Sanghoon S Cho Hyun-Woong HW Min Kyung-Jin KJ Hong Jin-Hwa JH Lee Jae-Kwan JK Lee Nak-Woo NW

International journal of environmental research and public health 20231002 19

<h4>Background</h4>The aim of this study was to evaluate the relationship between depressed mood and gynecological cancer outcomes, identifying risk factors for cancer aggravation.<h4>Methods</h4>This study was a retrospective analysis of gynecological cancer patients (January 2020-August 2022) at Korea University Anam Hospital using Patient Health Questionnaire-9 (PHQ-9). Patients were classified into non-depressed mood (NDM)- and depressed mood (DM)-based scores. Statistical analysis was perfo ...[more]

PMID: 37835144

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Project description:Inflammation plays a significant role in the pathophysiology of depression. However, not all individuals exposed to inflammatory challenge develop depression, and identifying those at risk is necessary to develop targeted monitoring, prevention, and treatment strategies. Within a randomized double-blind placebo-controlled study (n = 115), we examined whether leukocyte transcriptome profiles predicted inflammation-induced depressed mood in volunteers who received low-dose intravenous endotoxin (n = 58; aged 18-50). At baseline, transcription factor (TF) activities were assessed using genome-wide transcriptional profiling of peripheral blood mononuclear cells and promoter-based bioinformatic analyses. Then, participants were administered endotoxin. Self-reported depressed mood was assessed using the Profile of Mood States. Based on extant studies linking transcriptional profiles to depressive disorder, we examined whether post-endotoxin depressed mood is predicted by baseline activity of TFs related to immune activation, sympathetic activation, and glucocorticoid insensitivity: respectively, nuclear factor kappa B (NF-kB), cAMP response element-binding protein (CREB), and glucocorticoid receptor (GR). Twenty-one participants (36%) experienced an increase in depressed mood from baseline to 2 h post endotoxin, when depressive response peaks. Bioinformatics analyses controlling for age, sex, ethnicity, body mass index, and physical sickness response revealed that post-endotoxin depressed mood was predicted by increased baseline activity of TFs related to inflammation (NF-kB) and beta-adrenergic signaling (CREB) and by decreased activity of GR-related TFs (P's < 0.001). Inflammation-induced depressed mood is predicted by peripheral transcriptome profiles related to immune activation, sympathetic activation, and glucocorticoid insensitivity. With further replication, these stress-related molecular profiles could be used for a novel genomic approach for identifying individuals at high-risk for the inflammatory subtype of depression.

Dataset Information

Depressed Mood as a Significant Risk Factor for Gynecological Cancer Aggravation.

Background

Methods

Results

Conclusions

Publications

Depressed Mood as a Significant Risk Factor for Gynecological Cancer Aggravation.

Similar Datasets

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