Nighttime eating and breast cancer among Chinese women in Hong Kong

Li, Mengjie; Tse, Lap Ah; Chan, Wing-cheong; Kwok, Chi-Hei; Leung, Siu-lan; Wu, Çherry; Wang, Yu; Lee, Priscilla Ming Yi; Tsang, Koon-Ho; Law, Sze-Hong; Vermeulen, Roel; Gu, Fangyi; Caporaso, Neil E.; Yu, Ignatius Tak-sun; Wang, Feng; Yang, Xiaohong R.

doi:10.1186/s13058-017-0821-x

Cited by 23 publications

(15 citation statements)

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“…This is despite no significant difference in the total daily energy intake between the night shift workers and daytime workers being observed (65). Night-time eating behaviour has been shown to be associated with increased risks of metabolic disorders, weight gain and breast cancer (66)(67)(68). However, to our knowledge, none of the previous studies investigated the effect of night eating behaviour on the aetiology of obesity among night shift workers, which deserves further exploration in future studies.…”

Section: Discussionmentioning

confidence: 77%

Meta‐analysis on shift work and risks of specific obesity types

Feng²,

et al. 2017

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SummaryAims: This systematic review and meta-analysis evaluated the associations between shift work patterns and risks of specific types of obesity.Methods: PubMed was searched until March 2017 for observational studies that examined the relationships between shift work patterns and obesity. Odds ratio for obesity was extracted using a fixed-effects or random-effects model. Subgroup meta-analyses were carried out for study design, specific obesity types and characteristics of shift work pattern.Results: A total of 28 studies were included in this meta-analysis. The overall odds ratio of night shift work was 1.23 (95% confidence interval = 1.17-1.29) for risk of obesity/overweight. Cross-sectional studies showed a higher risk of 1.26 than those with the cohort design (risk ratio = 1.10). Shift workers had a higher frequency of developing abdominal obesity (odds ratio = 1.35) than other obesity types. Permanent night workers demonstrated a 29% higher risk than rotating shift workers (odds ratio 1.43 vs. 1.14). Conclusion:This meta-analysis confirmed the risks of night shift work for the development of overweight and obesity with a potential gradient association suggested, especially for abdominal obesity. Modification of working schedules is recommended, particularly for prolonged permanent night work. More accurate and detailed measurements on shift work patterns should be conducted in future research.

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Section: Discussionmentioning

confidence: 77%

Meta‐analysis on shift work and risks of specific obesity types

Feng²,

et al. 2017

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“…We analyzed data and biospecimens collected from a hospital-based BC case-control study in Hong Kong as previously described [20]. In brief, fresh frozen breast tumors and paired normal tissues were collected from newly diagnosed BC patients in two HK hospitals between 2013 and 2016.…”

Section: Methodsmentioning

confidence: 99%

Immune gene expression profiling reveals heterogeneity in luminal breast tumors

et al. 2019

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BackgroundHeterogeneity of immune gene expression patterns of luminal breast cancer (BC), which is clinically heterogeneous and overall considered as low immunogenic, has not been well studied especially in non-European populations. Here, we aimed at characterizing the immune gene expression profile of luminal BC in an Asian population and associating it with patient characteristics and tumor genomic features.MethodsWe performed immune gene expression profiling of tumor and adjacent normal tissue in 92 luminal BC patients from Hong Kong using RNA-sequencing data and used unsupervised consensus clustering to stratify tumors. We then used luminal patients from The Cancer Genome Atlas (TCGA, N = 564) and a Korean breast cancer study (KBC, N = 112) as replication datasets.ResultsBased on the expression of 130 immune-related genes, luminal tumors were stratified into three distinct immune subtypes. Tumors in one subtype showed higher level of tumor-infiltrating lymphocytes (TILs), characterized by T cell gene activation, higher expression of immune checkpoint genes, higher nonsynonymous mutation burden, and higher APOBEC-signature mutations, compared with other luminal tumors. The high-TIL subtype was also associated with lower ESR1/ESR2 expression ratio and increasing body mass index. The comparison of the immune profile in tumor and matched normal tissue suggested a tumor-derived activation of specific immune responses, which was only seen in high-TIL patients. Tumors in a second subtype were characterized by increased expression of interferon-stimulated genes and enrichment for TP53 somatic mutations. The presence of three immune subtypes within luminal BC was replicated in TCGA and KBC, although the pattern was more similar in Asian populations. The germline APOBEC3B deletion polymorphism, which is prevalent in East Asian populations and was previously linked to immune activation, was not associated with immune subtypes in our study. This result does not support the hypothesis that the germline APOBEC3B deletion polymorphism is the driving force for immune activation in breast tumors in Asian populations.ConclusionOur findings suggest that immune gene expression and associated genomic features could be useful to further stratify luminal BC beyond the current luminal A/B classification and a subset of luminal BC patients may benefit from checkpoint immunotherapy, at least in Asian populations.

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“…We analyzed data and biospecimens collected from a hospital-based breast cancer case-control study in Hong Kong as previously described 33 . In brief, fresh frozen breast tumors and paired normal tissues were collected from newly diagnosed breast cancer patients in two HK hospitals between 2013 and 2016.…”

Section: Participants and Samplesmentioning

confidence: 99%

Immune gene expression profiling reveals heterogeneity in luminal breast tumors

Zhu

Tse

Wang

et al. 2019

Preprint

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Disease heterogeneity of immune gene expression patterns of luminal breast cancer (BC) has not been well studied. We performed immune gene expression profiling of tumor and adjacent normal tissue in 92 Asian luminal BC patients and identified three distinct immune subtypes. Tumors in one subtype exhibited signs of T-cell activation, lower ESR1/ESR2 expression ratio and higher expression of immune checkpoint genes, nonsynonymous mutation burden, APOBEC-signature mutations, and increasing body mass index compared to other luminal tumors. Tumors in a second subtype were characterized by increased expression of interferonstimulated genes and enrichment for TP53 somatic mutations. The presence of three immune subtypes within luminal BC was replicated in cases drawn from The Cancer Genome Atlas and a Korean breast cancer study. Our findings suggest that immune gene expression and associated genomic features could be useful to further stratify luminal BC beyond the current luminal A/B classification.Introduction:

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Nighttime eating and breast cancer among Chinese women in Hong Kong

Cited by 23 publications

References 50 publications

Meta‐analysis on shift work and risks of specific obesity types

Meta‐analysis on shift work and risks of specific obesity types

Immune gene expression profiling reveals heterogeneity in luminal breast tumors

Immune gene expression profiling reveals heterogeneity in luminal breast tumors

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