Laboratory Evaluation of Tumor Biomarkers: An Updated Review

Background: Tumor biomarkers are biochemical substances produced by cancer cells or other body cells in response to malignancies, released into circulation. They play a critical role in cancer diagnosis, treatment monitoring, and recurrence detection. Despite their clinical utility, tumor biomarkers have limitations, including limited specificity and sensitivity, necessitating their integration with other diagnostic modalities for accurate oncological assessment. Aim: This review aims to provide an updated overview of tumor biomarkers, their clinical applications, laboratory evaluation methods, and the challenges associated with their use in cancer management. Methods: The review discusses various laboratory techniques for tumor biomarker detection, including enzyme assays, immunoassays, high-performance liquid chromatography (HPLC), immunohistochemistry (IHC), fluorescent in situ hybridization (FISH), polymerase chain reaction (PCR), and microarray analysis. It also covers specimen requirements, preanalytical guidelines, and factors influencing biomarker levels, such as biological variability and analytical interferences. Results: Tumor biomarkers, such as alpha-fetoprotein (AFP), carcinoembryonic antigen (CEA), and prostate-specific antigen (PSA), are widely used in clinical practice. However, their diagnostic and prognostic value is optimized when combined with imaging and histopathological findings. Advances in proteomics and genomics have enhanced the identification and quantification of genetic and molecular biomarkers, improving cancer diagnosis and personalized treatment strategies. Conclusion: Tumor biomarkers are invaluable tools in oncology but are not standalone diagnostic modalities. Their clinical utility is maximized when integrated with other diagnostic approaches. Ongoing advancements in laboratory techniques and biomarker discovery hold promise for improving cancer detection, monitoring, and treatment outcomes.

Authors

Institutions

Publication Details

Journal
Journal of Ecohumanism
Published
2024-12-29
DOI
https://doi.org/10.62754/joe.v3i8.6240
Citations
1
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.40
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Laboratory Evaluation of Tumor Biomarkers: An Updated Review

Arwa Ibrahem Saleh Moqbel, Saad Musabbih Mutair Alsharari, Tariq Mohammed Mubarak Alsharari, Abdulrahman Kayid Samar Alsharari et al.
1 citations
Journal of Ecohumanism
Radiomics and Machine Learning in Medical Imaging
0.40
article

Laboratory Evaluation of Tumor Biomarkers: An Updated Review

Arwa Ibrahem Saleh Moqbel, Saad Musabbih Mutair Alsharari, Tariq Mohammed Mubarak Alsharari, Abdulrahman Kayid Samar Alsharari, Abdulrhman Ali Mathi Alshrarai, Abdullah Mohammed Abdullah Hakami, Waleed Mater Abdulrahman Alrakkadi
article en
1 citations

Abstract

Background: Tumor biomarkers are biochemical substances produced by cancer cells or other body cells in response to malignancies, released into circulation. They play a critical role in cancer diagnosis, treatment monitoring, and recurrence detection. Despite their clinical utility, tumor biomarkers have limitations, including limited specificity and sensitivity, necessitating their integration with other diagnostic modalities for accurate oncological assessment. Aim: This review aims to provide an updated overview of tumor biomarkers, their clinical applications, laboratory evaluation methods, and the challenges associated with their use in cancer management. Methods: The review discusses various laboratory techniques for tumor biomarker detection, including enzyme assays, immunoassays, high-performance liquid chromatography (HPLC), immunohistochemistry (IHC), fluorescent in situ hybridization (FISH), polymerase chain reaction (PCR), and microarray analysis. It also covers specimen requirements, preanalytical guidelines, and factors influencing biomarker levels, such as biological variability and analytical interferences. Results: Tumor biomarkers, such as alpha-fetoprotein (AFP), carcinoembryonic antigen (CEA), and prostate-specific antigen (PSA), are widely used in clinical practice. However, their diagnostic and prognostic value is optimized when combined with imaging and histopathological findings. Advances in proteomics and genomics have enhanced the identification and quantification of genetic and molecular biomarkers, improving cancer diagnosis and personalized treatment strategies. Conclusion: Tumor biomarkers are invaluable tools in oncology but are not standalone diagnostic modalities. Their clinical utility is maximized when integrated with other diagnostic approaches. Ongoing advancements in laboratory techniques and biomarker discovery hold promise for improving cancer detection, monitoring, and treatment outcomes.

Journal of EcohumanismVol. 3(8)
Shura Council (SA), Ministry of Health (MM)
Openalex Percentile: Top 31%
Radiomics and Machine Learning in Medical Imaging
0.40
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.