Association of asthma with the risk of acute leukemia and non-Hodgkin lymphoma

Zhou, Min‐Hang; Yang, Qingming

doi:10.3892/mco.2015.561

Cited by 8 publications

(6 citation statements)

References 35 publications

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“…Several studies investigated the association between allergic diseases and specific cancers. Asthma, hay fever, and atopy have been associated with the risk of several specific cancers, such as pancreatic cancer, lymphomas, brain tumors, breast cancer and leukemia, although inconsistently 10 14 15 46 47 . Allergic diseases could theoretically both prevent and induce the development of several specific cancers.…”

Section: Discussionmentioning

confidence: 99%

Association between allergic conditions and risk of prostate cancer: A Prisma-Compliant Systematic Review and Meta-Analysis

Zhu

Song

Liu

et al. 2016

Sci Rep

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Association between allergic conditions and prostate cancer risk has been investigated for many years. However, the results from available evidence for the association are inconsistent. We conducted a meta-analysis to evaluate the relationship between allergic conditions (asthma, atopy, hay fever and “any allergy”) and risk of prostate cancer. The PubMed and Embase databases were searched to screen observational studies meeting our meta-analysis criteria. Study selection and data extraction from included studies were independently performed by two authors. Twenty studies were considered eligible involving 5 case-control studies and 15 cohort studies. The summary relative risk (RR) for developing prostate cancer risk was 1.04 (95%CI: 0.92–1.17) for asthma, and 1.25 (95%CI: 0.74–2.10) for atopy, 1.04 (95%CI: 0.99–1.09) for hay fever, 0.96 (95%CI: 0.86–1.06) for any allergy. In the Subgroup and sensitivity analysis, similar results were produced. Little evidence of publication bias was observed. The present meta-analysis of observational studies indicates that no indication of an association between allergic conditions and risk of prostate cancer was found, and the meta-analysis does not support neither the original hypothesis of an overall cancer protective effect of allergic conditions, nor that of an opposite effect in the development of prostate cancer.

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Section: Discussionmentioning

confidence: 99%

Association between allergic conditions and risk of prostate cancer: A Prisma-Compliant Systematic Review and Meta-Analysis

Zhu

Song

Liu

et al. 2016

Sci Rep

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“…Children born by caesarean deliverycausing a deviant immune-maturation -developed more asthma and ALL than children delivered via the vaginal route (Sevelsted, Stokholm, Bønnelykke, & Bisgaard, 2015). A meta-analysis found a significant pooled odds-ratio of ALL in atopy (0.69 ,95% CI 0.54 -0.89) (Linabery, Jurek, Duval, & Ross, 2010), while a more current metaanalysis updated a negative trend between ALL and asthma by Linabery et al (OR 0.79,) to a non-significant odds-ratio (P = 0.45) (Zhou & Yang, 2015). These findings suggest that a subset of allergic diseases and ALL have a protective effect on each other.…”

Section: Leukemiamentioning

confidence: 95%

A review on the pathophysiology of asthma remission

Carpaij

Burgess

Kerstjens

et al. 2019

Pharmacology & Therapeutics

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“…In this case study, we selected the disease topic of asthma and lymphoma. There have been a few studies discussing potential association between asthma and lymphoma, implying that the common cause and progression of the two diseases relates to some common imbalance of the immune system [ 50 , 51 ]. Our assembled disease-gene association network of Topic 94 suggested that these two diseases are indeed associated with a large number of common diseases and genes (i.e., 180 diseases and 279 genes) through 10,895 associations.…”

Section: Resultsmentioning

confidence: 99%

Systematic identification of latent disease-gene associations from PubMed articles

et al. 2018

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Recent scientific advances have accumulated a tremendous amount of biomedical knowledge providing novel insights into the relationship between molecular and cellular processes and diseases. Literature mining is one of the commonly used methods to retrieve and extract information from scientific publications for understanding these associations. However, due to large data volume and complicated associations with noises, the interpretability of such association data for semantic knowledge discovery is challenging. In this study, we describe an integrative computational framework aiming to expedite the discovery of latent disease mechanisms by dissecting 146,245 disease-gene associations from over 25 million of PubMed indexed articles. We take advantage of both Latent Dirichlet Allocation (LDA) modeling and network-based analysis for their capabilities of detecting latent associations and reducing noises for large volume data respectively. Our results demonstrate that (1) the LDA-based modeling is able to group similar diseases into disease topics; (2) the disease-specific association networks follow the scale-free network property; (3) certain subnetwork patterns were enriched in the disease-specific association networks; and (4) genes were enriched in topic-specific biological processes. Our approach offers promising opportunities for latent disease-gene knowledge discovery in biomedical research.

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Association of asthma with the risk of acute leukemia and non-Hodgkin lymphoma

Cited by 8 publications

References 35 publications

Association between allergic conditions and risk of prostate cancer: A Prisma-Compliant Systematic Review and Meta-Analysis

Association between allergic conditions and risk of prostate cancer: A Prisma-Compliant Systematic Review and Meta-Analysis

A review on the pathophysiology of asthma remission

Systematic identification of latent disease-gene associations from PubMed articles

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