Body mass index, weight change, and cancer prognosis: a meta-analysis and systematic review of 73 cohort studies

Wen, H.; Deng, G.; Shi, X.; Liu, Z.; Lin, A.; Cheng, Q.; Zhang, J.; Luo, P.

doi:10.1016/j.esmoop.2024.102241

Cited by 13 publications

(5 citation statements)

References 122 publications

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“…X-axis: b value. development of many cancers, including breast cancer, colon cancer, and endometrial cancer (31). However, the role of high BMI in the development of HL remains controversial.…”

Section: Discussionmentioning

confidence: 99%

“…These molecules play a crucial role in influencing key mechanisms in cancer cells such as proliferation, apoptosis, and migration ( 29 , 30 ). Therefore, BMI is associated with the development of many cancers, including breast cancer, colon cancer, and endometrial cancer ( 31 ). However, the role of high BMI in the development of HL remains controversial.…”

Section: Discussionmentioning

confidence: 99%

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The causal effect of adipose tissue on Hodgkin’s lymphoma: two-sample Mendelian randomization study and validation

Wu,

Liao,

Guo

et al. 2024

Front. Immunol.

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BackgroundExtensive research has been conducted on the correlation between adipose tissue and the risk of malignant lymphoma. Despite numerous observational studies exploring this connection, uncertainty remains regarding a causal relationship between adipose tissue and malignant lymphoma.MethodsThe increase or decrease in adipose tissue was represented by the height of BMI. The BMI and malignant lymphoma genome-wide association studies (GWAS) used a summary dataset from the OPEN GWAS website. Single-nucleotide polymorphisms (SNPs) that met the criteria of P <5e–8 and LD of r2 = 0.001 in the BMI GWAS were chosen as genetic instrumental variants (IVs). Proxy SNPs with LD of r2 > 0.8 were identified, while palindromic and outlier SNPs were excluded. Mendelian randomization (MR) analysis used five methods, including inverse-variance weighted (IVW) model, weighted median (WM), MR-Egger, simple mode, and weighted mode. Sensitivity assessments included Cochran’s Q test, MR-Egger intercept test, and leave-one-out analysis. Participants randomly selected by the National Center for Health Statistics (NHANSE) and newly diagnosed HL patients at Fujian Medical University Union Hospital were used for external validation.ResultsThe results of the MR analysis strongly supported the causal link between BMI and Hodgkin’s lymphoma (HL). The research demonstrated that individuals with lower BMI face a significantly increased risk of developing HL, with a 91.65% higher risk (ORIVW = 0.0835, 95% CI 0.0147 – 0.4733, P = 0.005). No signs of horizontal or directional pleiotropy were observed in the MR studies. The validation results aligned with the results from the MR analysis (OR = 0.871, 95% CI 0.826 – 0.918, P< 0.001). And there was no causal relationship between BMI and non-Hodgkin’s lymphoma (NHL).ConclusionsThe MR analysis study demonstrated a direct correlation between lower BMI and HL. This suggested that a decrease in adipose tissue increases the risk of developing HL. Nevertheless, further research is essential to grasp the underlying mechanism of this causal association comprehensively.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

The causal effect of adipose tissue on Hodgkin’s lymphoma: two-sample Mendelian randomization study and validation

Wu,

Liao,

Guo

et al. 2024

Front. Immunol.

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“…In the cancer population, the relationship between BMI and overall survival (OS) has been analyzed [12], but the relationship between BMI and HRQoL is less reported. Some studies focused on weight loss during treatment and used retrospective data, potentially resulting in recall bias [13].…”

Section: Introductionmentioning

confidence: 99%

Excess Weight leads to a better Health-Related Quality of Life in patients with Cancer

Dai,

Zhang,

et al. 2024

Preprint

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Purpose Health-Related Quality of Life (HRQoL) is an important indicator for patients with cancer. Currently, it is unclear whether body mass index (BMI) impact the quality of life of patients with cancer. To investigate whether elevated BMI results in improved HRQoL and to assess factors that are associated with HRQoL in patients attending an acupuncture rehabilitation clinic. Methods This analysis using the baseline data from a longitudinal cohort study on patients with cancer undergoing traditional Chinese medicine (TCM) treatment. Patients in the TCM clinic of Sichuan Cancer Hospital were recruited between August 2021 and November 2023. During the baseline investigation, patients completed a sociodemographic survey and the EQ-5D-5L questionnaire. EQ-VAS, derived from EQ-5D-5L, was chosen as primary measure to evaluate HRQoL. BMI was the primary explanatory variable in this study. Results Total 2059 patients were included in the analysis. Multiple linear regression analysis showed that BMI was an independent protective factor for HRQoL (B = 0.42, 95%CI: 0.13 ~ 0.72, P = 0.005). The HRQoL of patients with the excess weight (BMI ≥ 24 kg/m2) was significantly better than that of those with BMI < 24 (71.00 ± 16.90 vs 68.28 ± 18.76, P = 0.004). Similar trends were noted within subgroups of patients under 60 years of age, without hypertension, or receiving treatments other than surgery alone. Conclusion Cancer patients who are overweight have a better HRQoL. Maintaining an appropriate weight during and after cancer treatment would benefit patients preserving a good quality of life. Trial registration ChiCTR2100052816.Registered on November 05, 2021.

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“…Body Mass Index (BMI) is widely recognized in clinical settings for its utility in evaluating the general health and nutritional status of patients (6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16). Studies have demonstrated mixed impacts of BMI on cancer patient survival, making it a controversial component in the holistic management of cancer patients (10)(11)(12)(13)(14)(15)(16). Beyond BMI, frailty is increasingly recognized in guiding healthcare and predicting clinical outcomes of patients, particularly among the elderly.…”

Section: Introductionmentioning

confidence: 99%

Association between dietary supplement use and mortality in cancer survivors with different body mass index and frailty status: a cohort study

Zhang,

Wang,

et al. 2024

Front. Nutr.

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BackgroundThe association between Body Mass Index (BMI), frailty index (FI), and dietary supplement in cancer survivors has been a subject of growing interest. This study investigates the relationship of BMI and FI with mortality in American cancer survivors and explores the impact of dietary supplement usage on different BMI and FI groups.MethodsThree thousand nine hundred and thirty-two cancer patients from the National Health and Nutrition Examination Survey (NHANES) database were included in the analyses. BMI, FI, and supplement usage were obtained through the NHANES structured survey and the 49-item FI tool. Weighted logistic and Cox proportional hazards models, Kaplan–Meier survival analyses, and propensity score matching (PSM) were used to elucidate the relationships between BMI, FI, dietary supplement, and mortality outcomes.ResultsThe study found significant associations between higher BMI and increased frailty (Odds ratio [OR] = 1.04, 95% confidence interval [95% CI], 1.02–1.06). BMI < 25 kg/m2 and FI > 0.2 are associated with an increased mortality rate. Dietary supplement use can reduce all-cause and cancer mortality in cancer patients with BMI < 25 kg/m2 (Hazard ratio [HR] = 0.63, 95% CI, 0.47–0.84; HR = 0.48, 95% CI, 0.29–0.80) or FI ≤ 0.2 (HR = 0.77, 95% CI, 0.60–0.99; HR = 0.59, 95% CI, 0.39–0.89). In cancer patients with BMI < 25 kg/m2 and FI ≤ 0.2, dietary supplement users had lower all-cause and cancer mortality (HR = 0.49, 95% CI, 0.30–0.79; HR = 0.25, 95% CI, 0.10–0.60).ConclusionThe study revealed a negative correlation between BMI and the FI among the cancer patient cohort as well as their complex impact on mortality and highlighted the role of dietary supplement in cancer prognosis, indicating benefits for non-frail patients with BMI < 25 kg/m2.

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Body mass index, weight change, and cancer prognosis: a meta-analysis and systematic review of 73 cohort studies

Cited by 13 publications

References 122 publications

The causal effect of adipose tissue on Hodgkin’s lymphoma: two-sample Mendelian randomization study and validation

The causal effect of adipose tissue on Hodgkin’s lymphoma: two-sample Mendelian randomization study and validation

Excess Weight leads to a better Health-Related Quality of Life in patients with Cancer

Association between dietary supplement use and mortality in cancer survivors with different body mass index and frailty status: a cohort study

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