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EDITORIAL

Biomarkers and their potential utilities in oncology

Introduction

Treatment decision

Prognosis

Conflict of Interest

Acknowledgment

References

The promising future of biomarkers in oncology

Introduction

Pain

Radiation

Biomarker

Hope

Conflict of Interest

Acknowledgement

References

REVIEW ARTICLES

Genetic variants and biological markers of cancer-related pain sensitivity

Abstract

Introduction

Methods

Results

Breast cancer

Table 1. Summary of literature findings

(Table 1 continued on next page)

Lung cancer

Prostate cancer

Pancreatic cancer

Hepatobiliary carcinoma

Head and neck cancer

Glioblastoma

Myeloproliferative neoplasms

Advanced osteolytic bone sisease

Other neoplastic sites

Discussion

Conflict of Interest

Acknowledgment

References

Biomarkers relating to cancer-related symptom burden and quality of life

Abstract

Introduction

Methods

Screening criteria

Eligibility Criteria

Ineligibility Criteria

Data extraction

Results

Table 1. Biomarkers related to fatigue (n = 11)

Table 2. Biomarkers related of cancer cachexia (n = 6)

Table 3. Biomarkers associated with depressive/anxiety/neurocognitive complaints (n = 4)

Table 4. Biomarkers related to multiple symptom burden and/or quality of life (n = 20)

Fatigue

Cancer cachexia

Depression, anxiety, and neurocognitive complaints

Symptom burden and quality of life

Discussion

Conflict of Interest

Acknowledgments

References

Biomarkers and predictors of efficacy of analgesics in the management of cancer pain

Abstract

Introduction

Methods

Study eligibility

Data extraction

Results

µ-Opioid Receptor (OPRM)

Table 1. Summary of extracted biomarker and genomics data

(Table 1 continued on next page)

Catechol-O-methyltransferase (COMT)

Multi-Drug Resistance 1 (ABCB1)

OPRM1, COMT and MDR1

β-Arrestin 1 and 2 (ARRB1 & ARRB2)

Uridine disphosphate-glucuronosyltransferase (UTG2B7)

Signal transducer and activation of transcription 6 (STAT6)

Bisphosphonates

Discussion

Conflict of Interest

Acknowledgment

References

Biomarkers and predictors of the chemopreventative capacity of non-steroidal anti-inflammatory drugs (NSAIDs)

Abstract

Introduction

Methods

Study eligibility

Table 1. Data extracted from full-text articles

Results

A review of the literature yielded a total of 5480 articles, of which 63 were initially deemed eligible based on title and abstract review. Following further full-text screening, 8 were deemed eligible and were included in this review (see Figure 1). ...

Colorectal cancer (CRC)

Lung cancer

Breast cancer

Prostate cancer

Discussion

Conflict of Interest

Acknowledgment

References

Biomarkers of radiation response

Abstract

Introduction

Methods

Screening criteria

Data extraction

Results

Table 1. Summary of the literature

Discussion

Conflict of Interest

Acknowledgment

References

Biomarkers of susceptibility to radiation-related toxicities

Abstract

Introduction

Methods

Results

Toxicities in breast cancer patients

Table 1. Summary of included studies

(Table 1 continued on next page)

Pneumonitis and esophagitis in NSCLC patients

Mucositis in head and neck cancer patients

Discussion

Conflict of Interest

Acknowledgments

References

Common inflammatory biomarkers of cancer prognosis

Abstract

Introduction

Methods

Study selection

Data extraction

Table 1. Summary of study characteristics

Results

Table 2. Studies assessing CRP, albumin, and their derivative evaluation methods with outcome in cancer

Table 3. Studies assessing counts and ratios of platelets and leukocytes with outcome in cancer

Discussion

Conflict of interest

Acknowledgment

References

Biological biomarkers of cancer prognosis

Abstract

Introduction

Methods

Study selection

Table 1. Summary of study characteristics

Data extraction

Results

Table 2. Significant molecular biomarkers found in bodily fluids

Table 3. Significant molecular biomarkers found in tissues

Table 4. Significant cellular biomarkers found in tissues

Discussion

Conflict of Interest

Acknowledgment

References

Genetic biomarkers of cancer prognosis

Abstract

Introduction

Methods

Study selection

Data extraction

Table 1. Summary of study characteristics

Results

Table 2. Genetic biomarkers predictive of prognosis in colorectal, prostate, esophageal, lung, and hepatocellular cancer

Table 3. Genetic biomarkers predictive of prognosis in pancreatic cancer, bladder cancer, neuroblastoma, and breast cancer

Discussion

Conflict of interest

Acknowledgment

References