A Systematic Comparative Literature Review of Biomarkers, Imaging, and Therapeutic Strategies for Endometrial Cancer: Toward an Estrogen Receptor-Guided Near-Infrared Fluorescence Imaging and Endocrine Therapy Pipeline

Endometrial cancer (EC) is the most common gynecologic malignancy in high-income countries, with incidence rising alongside increasing obesity and population aging. Diagnosis still depends on invasive tissue biopsy and histopathology, a pathway that is costly, time-consuming, and burdensome for patients. As precision medicine increasingly emphasizes biomarker-guided, minimally invasive strategies, this study systematically compares candidate biomarkers, imaging modalities, and therapeutic strategies to identify the most clinically suitable combination for a minimally invasive diagnostic-therapeutic pipeline for EC. A systematic comparative literature analysis was conducted using PubMed, Google Scholar, Web of Science, ClinicalTrials.gov, and FDA resources, restricted to English-language publications from 2013–2026. Evidence on prevalence, diagnostic accuracy, safety, cost, and therapeutic relevance was organized into weighted decision matrices and a Multi-Criteria Decision Analysis. Among five candidate biomarkers, the estrogen receptor (ER) scored highest, reflecting its high prevalence in Type I endometrioid tumors, established assay infrastructure, and direct actionability with endocrine therapy. Among four imaging modalities, near-infrared (NIR) fluorescence endoscopy scored highest based on real-time signal acquisition and compatibility with existing endoscopic infrastructure. Endocrine therapy showed the strongest compatibility with ER-positive disease. Integrating these findings produced a proposed same-day pipeline, ER-targeted NIR fluorescence detection followed by endocrine therapy initiation, with an estimated reduction in time-to-treatment from 10–15 days to under 48 hours. This pipeline offers a scientifically coherent alternative to the conventional biopsy-dependent pathway for Type I, hormone-receptor-positive disease. However, this synthesis is based entirely on published literature; prospective validation, including probe development, imaging accuracy studies, and clinical trials, is required before real-world implementation.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-06
DOI
https://doi.org/10.5281/zenodo.22105252
Primary Topic
Endometrial and Cervical Cancer Treatments
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
preprint

A Systematic Comparative Literature Review of Biomarkers, Imaging, and Therapeutic Strategies for Endometrial Cancer: Toward an Estrogen Receptor-Guided Near-Infrared Fluorescence Imaging and Endocrine Therapy Pipeline

Kinzy Wessam Mohamed Ali
Zenodo (CERN European Organization for Nuclear Research)
Endometrial and Cervical Cancer Treatments
preprint

A Systematic Comparative Literature Review of Biomarkers, Imaging, and Therapeutic Strategies for Endometrial Cancer: Toward an Estrogen Receptor-Guided Near-Infrared Fluorescence Imaging and Endocrine Therapy Pipeline

Kinzy Wessam Mohamed Ali
preprint en

Abstract

Endometrial cancer (EC) is the most common gynecologic malignancy in high-income countries, with incidence rising alongside increasing obesity and population aging. Diagnosis still depends on invasive tissue biopsy and histopathology, a pathway that is costly, time-consuming, and burdensome for patients. As precision medicine increasingly emphasizes biomarker-guided, minimally invasive strategies, this study systematically compares candidate biomarkers, imaging modalities, and therapeutic strategies to identify the most clinically suitable combination for a minimally invasive diagnostic-therapeutic pipeline for EC. A systematic comparative literature analysis was conducted using PubMed, Google Scholar, Web of Science, ClinicalTrials.gov, and FDA resources, restricted to English-language publications from 2013–2026. Evidence on prevalence, diagnostic accuracy, safety, cost, and therapeutic relevance was organized into weighted decision matrices and a Multi-Criteria Decision Analysis. Among five candidate biomarkers, the estrogen receptor (ER) scored highest, reflecting its high prevalence in Type I endometrioid tumors, established assay infrastructure, and direct actionability with endocrine therapy. Among four imaging modalities, near-infrared (NIR) fluorescence endoscopy scored highest based on real-time signal acquisition and compatibility with existing endoscopic infrastructure. Endocrine therapy showed the strongest compatibility with ER-positive disease. Integrating these findings produced a proposed same-day pipeline, ER-targeted NIR fluorescence detection followed by endocrine therapy initiation, with an estimated reduction in time-to-treatment from 10–15 days to under 48 hours. This pipeline offers a scientifically coherent alternative to the conventional biopsy-dependent pathway for Type I, hormone-receptor-positive disease. However, this synthesis is based entirely on published literature; prospective validation, including probe development, imaging accuracy studies, and clinical trials, is required before real-world implementation.

Zenodo (CERN European Organization for Nuclear Research)
Coherent (United States) (US)
Endometrial and Cervical Cancer Treatments
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.