Biological Basis for the Clustering of Symptoms

Debra Lynch Kelly; Kristin Dickinson; Chao Pin Hsiao; Nada Lukkahatai; Velda Gonzalez-Marrero; Margaret McCabe; Leorey N. Saligan

doi:10.1016/j.soncn.2016.08.002

Biological Basis for the Clustering of Symptoms

Debra Lynch Kelly, Kristin Dickinson, Chao Pin Hsiao, Nada Lukkahatai, Velda Gonzalez-Marrero, Margaret McCabe, Leorey N. Saligan

Research output: Contribution to journal › Review article › peer-review

23 Scopus citations

Abstract

Objectives Identification of biologic pathways of symptom clusters is necessary to develop precision therapies for distressing symptoms. This review examined extant literature evaluating relationships between biomarkers and symptom clusters in cancer survivors. Data Sources PubMed, CINAHL, Web of Science and Cochrane Library were searched using terms “biological markers” or “biomarkers” and “symptom cluster” or “symptom complex” or “multiple symptoms.” Conclusion Biomarkers related to inflammation (eg, cytokines) were the most studied and showed the most significant relationships with clusters of symptoms. This review suggests that clustering of symptoms related to cancer or cancer therapy is linked to immune/inflammatory pathways. Implications for Nursing Practice Understanding the etiology of symptom clusters may guide future nursing interventions for symptom management.

Original language	English (US)
Pages (from-to)	351-360
Number of pages	10
Journal	Seminars in oncology nursing
Volume	32
Issue number	4
DOIs	https://doi.org/10.1016/j.soncn.2016.08.002
State	Published - Nov 1 2016
Externally published	Yes

Keywords

biological
cancer-related symptoms
inflammation
pathways
symptom cluster
symptom complex

ASJC Scopus subject areas

Oncology(nursing)

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10.1016/j.soncn.2016.08.002

Cite this

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title = "Biological Basis for the Clustering of Symptoms",

abstract = "Objectives Identification of biologic pathways of symptom clusters is necessary to develop precision therapies for distressing symptoms. This review examined extant literature evaluating relationships between biomarkers and symptom clusters in cancer survivors. Data Sources PubMed, CINAHL, Web of Science and Cochrane Library were searched using terms “biological markers” or “biomarkers” and “symptom cluster” or “symptom complex” or “multiple symptoms.” Conclusion Biomarkers related to inflammation (eg, cytokines) were the most studied and showed the most significant relationships with clusters of symptoms. This review suggests that clustering of symptoms related to cancer or cancer therapy is linked to immune/inflammatory pathways. Implications for Nursing Practice Understanding the etiology of symptom clusters may guide future nursing interventions for symptom management.",

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AU - Lynch Kelly, Debra

AU - Dickinson, Kristin

AU - Hsiao, Chao Pin

AU - Lukkahatai, Nada

AU - Gonzalez-Marrero, Velda

AU - McCabe, Margaret

AU - Saligan, Leorey N.

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N2 - Objectives Identification of biologic pathways of symptom clusters is necessary to develop precision therapies for distressing symptoms. This review examined extant literature evaluating relationships between biomarkers and symptom clusters in cancer survivors. Data Sources PubMed, CINAHL, Web of Science and Cochrane Library were searched using terms “biological markers” or “biomarkers” and “symptom cluster” or “symptom complex” or “multiple symptoms.” Conclusion Biomarkers related to inflammation (eg, cytokines) were the most studied and showed the most significant relationships with clusters of symptoms. This review suggests that clustering of symptoms related to cancer or cancer therapy is linked to immune/inflammatory pathways. Implications for Nursing Practice Understanding the etiology of symptom clusters may guide future nursing interventions for symptom management.

AB - Objectives Identification of biologic pathways of symptom clusters is necessary to develop precision therapies for distressing symptoms. This review examined extant literature evaluating relationships between biomarkers and symptom clusters in cancer survivors. Data Sources PubMed, CINAHL, Web of Science and Cochrane Library were searched using terms “biological markers” or “biomarkers” and “symptom cluster” or “symptom complex” or “multiple symptoms.” Conclusion Biomarkers related to inflammation (eg, cytokines) were the most studied and showed the most significant relationships with clusters of symptoms. This review suggests that clustering of symptoms related to cancer or cancer therapy is linked to immune/inflammatory pathways. Implications for Nursing Practice Understanding the etiology of symptom clusters may guide future nursing interventions for symptom management.

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Biological Basis for the Clustering of Symptoms

Abstract

Keywords

ASJC Scopus subject areas

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