Correlation Between Breast Cancer Receptors And The Mean Platelet Volume Ratio

Background: Women worldwide die most from breast cancer. To understand cancer prognosis, tumour markers, receptor status, and haematological parameters have been correlated. This study examined the association between breast cancer receptor status (ER, PR, and HER2) and the Mean Platelet Volume (MPV) ratio, an emerging haematological diagnostic. An changed MPV ratio may connect with breast cancer aggressiveness and receptor status. Methods: A retrospective cohort research at SIMS Hospital, Shivamogga, from January 2022 to June 2024. From medical records, 30 breast cancer patients were included. The study included pre-treatment blood tests to obtain clinical demographics, histopathological findings, receptor status (ER, PR, HER2), and MPV values. MPV and MPV ratio were computed for each subject. Chi-square testing and Pearson correlation analysis established the receptor status-MPV ratio relationship.Study results indicate a substantial link between MPV ratio and receptor status, with larger ratios in ER-negative, PR-negative, and HER2-positive breast cancer subtypes among 30 patients. Compared to other receptor status groups, HER2-positive individuals had a substantially higher mean MPV ratio (p < 0.05). MPV ratio did not correlate with tumour grade or stage. Conclusion :This study suggests that MPV ratio might be a cost-effective tool to determine breast cancer aggressiveness, in addition to receptor status. Higher MPV ratios were linked to more aggressive receptor profiles, especially in HER2-positive patients. MPV ratio as a breast cancer biomarker needs more prospective trials to prove its therapeutic value.

Authors

Publication Details

Journal
Frontiers in Health Informatics
Published
2024-11-30
DOI
https://doi.org/10.63682/fhi1067
Primary Topic
Inflammatory Biomarkers in Disease Prognosis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Correlation Between Breast Cancer Receptors And The Mean Platelet Volume Ratio

Vijaya H Pai
Frontiers in Health Informatics
Inflammatory Biomarkers in Disease Prognosis
article

Correlation Between Breast Cancer Receptors And The Mean Platelet Volume Ratio

Vijaya H Pai
article en

Abstract

Background: Women worldwide die most from breast cancer. To understand cancer prognosis, tumour markers, receptor status, and haematological parameters have been correlated. This study examined the association between breast cancer receptor status (ER, PR, and HER2) and the Mean Platelet Volume (MPV) ratio, an emerging haematological diagnostic. An changed MPV ratio may connect with breast cancer aggressiveness and receptor status. Methods: A retrospective cohort research at SIMS Hospital, Shivamogga, from January 2022 to June 2024. From medical records, 30 breast cancer patients were included. The study included pre-treatment blood tests to obtain clinical demographics, histopathological findings, receptor status (ER, PR, HER2), and MPV values. MPV and MPV ratio were computed for each subject. Chi-square testing and Pearson correlation analysis established the receptor status-MPV ratio relationship.Study results indicate a substantial link between MPV ratio and receptor status, with larger ratios in ER-negative, PR-negative, and HER2-positive breast cancer subtypes among 30 patients. Compared to other receptor status groups, HER2-positive individuals had a substantially higher mean MPV ratio (p < 0.05). MPV ratio did not correlate with tumour grade or stage. Conclusion :This study suggests that MPV ratio might be a cost-effective tool to determine breast cancer aggressiveness, in addition to receptor status. Higher MPV ratios were linked to more aggressive receptor profiles, especially in HER2-positive patients. MPV ratio as a breast cancer biomarker needs more prospective trials to prove its therapeutic value.

Frontiers in Health Informatics
Good health and well-being
Openalex Percentile: Top 57%
Inflammatory Biomarkers in Disease Prognosis
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.