CLSI Guided Reference Interval Limits for Cancer Biomarkers for Adults and Geriatrics

Gitimu, Richard M; Waithaka, Stanley K.; Gikunju, Joseph Kangangi; Njagi, E.N.M.

doi:10.28991/scimedj-2022-04-02-04

Cited by 3 publications

(2 citation statements)

References 16 publications

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“…2023-01-005). The 104 patients with HBV and 96 healthy controls were divided into two groups according to criteria that included age, sex, and infection status (positive or negative) (Osei-Boakye et al, 2022;Gitimu et al, 2022).…”

Section: Study Design and Participantsmentioning

confidence: 99%

Diagnostic Potential of Inflammatory Biomarker Levels in the Serum of Patients with Hepatitis B Infection: A Retrospective Study

Yun,

Jung,

Rheem

et al. 2023

American Journal of Biochemistry and Biotechnology

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This study aimed to evaluate the diagnostic biomarker potential of C-Reactive Protein (CRP) and Procalcitonin (PCT) levels in the serum of individuals infected with the Hepatitis B Virus (HBV). The patients were divided into two age groups: Younger (<60 years) and older (≥60 years). An Electrochemiluminescence Immunoassay (ECLIA) platform was employed for the serological analysis to quantify the biomarker levels. A retrospective analysis was conducted on a cohort of HBV-infected patients and serum samples were collected from 200 individuals infected with HBV as well as from healthy controls. ECLIA revealed significantly increased levels of the pro-inflammatory markers CRP and PCT in both younger and older HBVinfected patients compared with those for participants in the healthy controls (p<0.0001). Importantly, the serum CRP and PCT levels were independent of age and sex. These findings provide evidence for increased serum CRP and PCT levels following HBV infection, indicating a potential correlation between these biomarkers and HBV infection. Thus, this study demonstrates the promising clinical diagnostic significance of CRP and PCT in HBV infections when assessed using ECLIA.

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Section: Study Design and Participantsmentioning

confidence: 99%

Diagnostic Potential of Inflammatory Biomarker Levels in the Serum of Patients with Hepatitis B Infection: A Retrospective Study

Yun,

Jung,

Rheem

et al. 2023

American Journal of Biochemistry and Biotechnology

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“…[11] Unlike common tumor markers, LncRNA is increasingly proven to contribute to tumor immune cell infiltration of BC and regulate related immune pathways. [12][13][14] LncRNA LNMAT1 could upregulate CCL2 expression and encourage macrophages to recruit to tumors to further accelerate lymph node metastasis of BC. [15] However, the biological functions and therapeutic potential of necroptosis-related lncRNAs in BC are rarely studied.…”

Section: Introductionmentioning

confidence: 99%

A five necroptosis-related lncRNA signature predicts the prognosis of bladder cancer and identifies hot or cold tumors

Li,

Lv,

Liu

2023

Medicine

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Bladder cancer (BC) is a leading cause of male cancer-related deaths globally. Immunotherapy is showing promise as a treatment option for BC. Numerous studies suggested that necroptosis and long noncoding RNAs (lncRNAs) were critical players in the development of cancers and interacting with cancer immunity. However, the prognostic value of necroptosis-related lncRNAs and their impact on immunotherapeutic response in patients with BC have yet to be well examined. Thus, this study aims to find new biomarkers for predicting prognosis and determining immune subtypes of BC to select appropriate patients from a heterogeneous population. The clinicopathology and transcriptome information from The Cancer Genome Atlas (TCGA) was downloaded, and coexpression analysis was performed to identify necroptosis-related lncRNAs. Then LASSO regression was employed to construct a prediction signature. The signature performance was evaluated by Kaplan–Meier (K–M) method, Time-dependent receiver operating characteristics (ROC). The functional enrichment, immune infiltration, immune checkpoint activation, and the half-maximal inhibitory concentration (IC50) of common drugs in risk groups were compared. The consensus clustering analysis based on lncRNAs associated with necroptosis was made to get 2 clusters to identify hot and cold tumors further. Lastly, the immune response between cold and hot tumors was discussed. In this study, a model containing 5 necroptosis-related lncRNAs was constructed. The risk score distribution of these lncRNAs was compared between low- and high-risk groups in the training, testing, and entire sets. K–M analysis showed that the low-risk patients had significantly better prognosis. The area under the ROC curve (AUC) for the 1-, 3-, and 5-year ROC curves in the entire sets were 0.690, 0.709, and 0.722, respectively. High-risk patients were enriched in lncRNAs related to tumor immunity and had better immune cell infiltration and immune checkpoint activation. Hot tumors and cold tumors were effectively distinguished by clusters 1 and cluster 2, respectively. We developed a necroptosis-related signature based on 5 prognostic lncRNAs, expected to become a new tool for evaluating the prognosis of patients with BC and classifying hot or cold tumors, thus facilitating the development of precision therapy for BC.

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Identification of a basement membrane-related genes signature to predict prognosis, immune landscape and guide therapy in gastric cancer

Liu,

Xin

2023

Medicine

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The basement membrane is an essential defense against cancer progression and is intimately linked to the tumor immune microenvironment. However, there is limited research comprehensively discussing the potential application of basement membrane-related genes (BMRGs) in the prognosis evaluation and immunotherapy of gastric cancer (GC). The RNA-seq data and clinical information of GC patients were collected from the TCGA and GEO database. Prognosis-associated BMRGs were filtered via univariate Cox regression analysis. The 4-BMRGs signatures were constructed by lasso regression. Prognostic predictive accuracy of the 4-BMRGs signature was appraised with survival analysis, receiver operating characteristic curves, and nomogram. Gene set enrichment analysis (GSEA), gene ontology, and gene set variation analysis were performed to dig out potential mechanisms and functions. The Estimate algorithm and ssGSEA were used for assessing the tumor microenvironment and immunological characteristics. Identification of molecular subtypes by consensus clustering. Drug sensitivity analysis using the “pRRophetic” R package. Immunotherapy validation with immunotherapy cohort. A 4-BMRGs signature was constructed, which could excellently predict the GC patient prognosis (5-year AUC value of 0.873). Kaplan–Meier and Cox regression analyses showed that the 4-BMRGs signature was an OS-independent prognostic factor, and that higher risk scores were associated with shorter OS. The high-risk subgroup exhibits a higher abundance of immune cell infiltration, such as macrophages. Additionally, we observed a strong correlation between 2 BMRGs (LUM, SPARC) and immune cells such as CD8 + T cells and macrophages. The high-risk subgroup appears to be more sensitive to Axitinib, DMOG, Gemcitabine and Docetaxel by pRRophetic analysis. Furthermore, the validation of the cohort that received immune therapy revealed that patients in the high-risk group who underwent immune checkpoint inhibitor treatment exhibited better response rates. Pan-cancer analysis also shows that risk scores are strongly associated with immune and carcinogenic pathways. The 4-BMRGs signature has demonstrated accuracy and reliability in predicting the GC patient’s prognosis and could assist in the formulation of clinical strategies.

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CLSI Guided Reference Interval Limits for Cancer Biomarkers for Adults and Geriatrics

Cited by 3 publications

References 16 publications

Diagnostic Potential of Inflammatory Biomarker Levels in the Serum of Patients with Hepatitis B Infection: A Retrospective Study

Diagnostic Potential of Inflammatory Biomarker Levels in the Serum of Patients with Hepatitis B Infection: A Retrospective Study

A five necroptosis-related lncRNA signature predicts the prognosis of bladder cancer and identifies hot or cold tumors

Identification of a basement membrane-related genes signature to predict prognosis, immune landscape and guide therapy in gastric cancer

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