Can serum autoantibodies be a potential early detection biomarker for breast cancer in women? A diagnostic test accuracy review and meta-analysis
Abstract Background The increasing incidence of breast cancer necessitates the need to explore alternate screening strategies that circumvent the setbacks of conventional techniques especially among population that report earlier age at diagnosis. Serum autoantibodies is one such potential area of i...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2022-10-01
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| Series: | Systematic Reviews |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13643-022-02088-y |
| _version_ | 1817983832441225216 |
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| author | Thejas Kathrikolly Sreekumaran N. Nair Aju Mathew Prakash P. U. Saxena Suma Nair |
| author_facet | Thejas Kathrikolly Sreekumaran N. Nair Aju Mathew Prakash P. U. Saxena Suma Nair |
| author_sort | Thejas Kathrikolly |
| collection | DOAJ |
| description | Abstract Background The increasing incidence of breast cancer necessitates the need to explore alternate screening strategies that circumvent the setbacks of conventional techniques especially among population that report earlier age at diagnosis. Serum autoantibodies is one such potential area of interest. However, their ubiquitous presence across cancer types limits its applicability to any one specific type of cancer. This review was therefore carried out to explore and consolidate available evidence on autoantibodies for early detection of breast cancer and to identify those that demonstrated a higher sensitivity. Methods A diagnostic test accuracy (DTA) review was carried out to ascertain serum autoantibodies that could be used for early detection of breast cancer among women. All relevant articles that investigated the role of autoantibodies in early detection of breast cancer were included for the review. MEDLINE, Scopus, ProQuest, Ovid SP, and Cochrane Library were searched extensively for eligible studies. Quality of the included studies was assessed using Quality Assessment of Diagnostic Accuracy Studies (QUADAS)-2 tool. RevMan 5.3 was used for exploratory and MetaDTA 2019 for hierarchical analyses. The review helped identify the most frequently investigated autoantibodies and a meta-analysis further consolidated the findings. Results A total of 53 articles were included for the final analysis that reported over a 100 autoantibodies that were studied for early detection of breast cancer in women. P53, MUC1, HER2, HSP60, P16, Cyclin B1, and c-Myc were the most frequently investigated autoantibodies. Of these P53, MUC1, HER2, and HSP60 exhibited higher summary sensitivity measures. While the individual pooled sensitivity estimates ranged between 10 and 56%, the panel sensitivity values reported across studies were higher with an estimated range of 60–87%. Conclusion Findings from the review indicate a higher sensitivity for an autoantibody panel in comparison to individual assays. A panel comprising of P53, MUC1, HER2, and HSP60 autoantibodies has the potential to be investigated as an early detection biomarker for breast cancer. |
| first_indexed | 2024-04-13T23:38:28Z |
| format | Article |
| id | doaj.art-ee4a217945d44a7f8213ce9d95f2ccc6 |
| institution | Directory Open Access Journal |
| issn | 2046-4053 |
| language | English |
| last_indexed | 2024-04-13T23:38:28Z |
| publishDate | 2022-10-01 |
| publisher | BMC |
| record_format | Article |
| series | Systematic Reviews |
| spelling | doaj.art-ee4a217945d44a7f8213ce9d95f2ccc62022-12-22T02:24:39ZengBMCSystematic Reviews2046-40532022-10-0111111210.1186/s13643-022-02088-yCan serum autoantibodies be a potential early detection biomarker for breast cancer in women? A diagnostic test accuracy review and meta-analysisThejas Kathrikolly0Sreekumaran N. Nair1Aju Mathew2Prakash P. U. Saxena3Suma Nair4Department of Community Oncology, Sri Shankara Cancer Hospital and Research CentreDepartment of Biostatistics, Jawaharlal Institute of Postgraduate Medical Education & Research (JIPMER)Department of Oncology, MOSC Medical College KolencheryDepartment of Radiation Oncology, Kasturba Medical CollegeDepartment of Community Medicine, Kasturba Medical College, Manipal Academy of Higher Education (MAHE)Abstract Background The increasing incidence of breast cancer necessitates the need to explore alternate screening strategies that circumvent the setbacks of conventional techniques especially among population that report earlier age at diagnosis. Serum autoantibodies is one such potential area of interest. However, their ubiquitous presence across cancer types limits its applicability to any one specific type of cancer. This review was therefore carried out to explore and consolidate available evidence on autoantibodies for early detection of breast cancer and to identify those that demonstrated a higher sensitivity. Methods A diagnostic test accuracy (DTA) review was carried out to ascertain serum autoantibodies that could be used for early detection of breast cancer among women. All relevant articles that investigated the role of autoantibodies in early detection of breast cancer were included for the review. MEDLINE, Scopus, ProQuest, Ovid SP, and Cochrane Library were searched extensively for eligible studies. Quality of the included studies was assessed using Quality Assessment of Diagnostic Accuracy Studies (QUADAS)-2 tool. RevMan 5.3 was used for exploratory and MetaDTA 2019 for hierarchical analyses. The review helped identify the most frequently investigated autoantibodies and a meta-analysis further consolidated the findings. Results A total of 53 articles were included for the final analysis that reported over a 100 autoantibodies that were studied for early detection of breast cancer in women. P53, MUC1, HER2, HSP60, P16, Cyclin B1, and c-Myc were the most frequently investigated autoantibodies. Of these P53, MUC1, HER2, and HSP60 exhibited higher summary sensitivity measures. While the individual pooled sensitivity estimates ranged between 10 and 56%, the panel sensitivity values reported across studies were higher with an estimated range of 60–87%. Conclusion Findings from the review indicate a higher sensitivity for an autoantibody panel in comparison to individual assays. A panel comprising of P53, MUC1, HER2, and HSP60 autoantibodies has the potential to be investigated as an early detection biomarker for breast cancer.https://doi.org/10.1186/s13643-022-02088-yBreast cancerBiomarkersAutoantibodiesEarly detection |
| spellingShingle | Thejas Kathrikolly Sreekumaran N. Nair Aju Mathew Prakash P. U. Saxena Suma Nair Can serum autoantibodies be a potential early detection biomarker for breast cancer in women? A diagnostic test accuracy review and meta-analysis Systematic Reviews Breast cancer Biomarkers Autoantibodies Early detection |
| title | Can serum autoantibodies be a potential early detection biomarker for breast cancer in women? A diagnostic test accuracy review and meta-analysis |
| title_full | Can serum autoantibodies be a potential early detection biomarker for breast cancer in women? A diagnostic test accuracy review and meta-analysis |
| title_fullStr | Can serum autoantibodies be a potential early detection biomarker for breast cancer in women? A diagnostic test accuracy review and meta-analysis |
| title_full_unstemmed | Can serum autoantibodies be a potential early detection biomarker for breast cancer in women? A diagnostic test accuracy review and meta-analysis |
| title_short | Can serum autoantibodies be a potential early detection biomarker for breast cancer in women? A diagnostic test accuracy review and meta-analysis |
| title_sort | can serum autoantibodies be a potential early detection biomarker for breast cancer in women a diagnostic test accuracy review and meta analysis |
| topic | Breast cancer Biomarkers Autoantibodies Early detection |
| url | https://doi.org/10.1186/s13643-022-02088-y |
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