S.P.E.C.T.R.A. - Spectral Protein Evaluation for Core Tissue Real-Time Analysis: A Multi-Modal Precision Biopsy System for AHSG-Driven Metabolic Hotspot Detection

Liver cancer, specifically Hepatocellular Carcinoma (HCC) and Intrahepatic Cholangiocarcinoma (iCCA), remains a leading cause of global cancer mortality, characterized by extreme tumor heterogeneity. Standard-of-care needle biopsies often suffer from sampling errors, missing aggressive metabolic hotspots and leading to incomplete molecular profiling. This study introduces a novel multi-modal system designed to transform the standard biopsy cannula into an active biochemical sensor for detecting Alpha-2-HS-glycoprotein (AHSG), a key driver of these malignant hotspots. The system utilizes a dual-approach: (1) a real-time intraoperative guidance tool using optical spectroscopy, and (2) an origami-based microfluidic paper analytical device (μPAD) for rapid biomarker verification. Statistical validation demonstrated high diagnostic sensitivity and accuracy in hotspot identification, even within high-noise biological environments. This framework provides a scalable, low-cost solution for precision oncology, potentially reducing the need for repeat biopsies and accelerating the transition to targeted anti-metabolic therapies in resource-limited settings.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-12
DOI
https://doi.org/10.5281/zenodo.20672531
Primary Topic
Biosensors and Analytical Detection
Type
article
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article

S.P.E.C.T.R.A. - Spectral Protein Evaluation for Core Tissue Real-Time Analysis: A Multi-Modal Precision Biopsy System for AHSG-Driven Metabolic Hotspot Detection

Apoorva Gautham
Zenodo (CERN European Organization for Nuclear Research)
Biosensors and Analytical Detection
article

S.P.E.C.T.R.A. - Spectral Protein Evaluation for Core Tissue Real-Time Analysis: A Multi-Modal Precision Biopsy System for AHSG-Driven Metabolic Hotspot Detection

Apoorva Gautham
article en

Abstract

Liver cancer, specifically Hepatocellular Carcinoma (HCC) and Intrahepatic Cholangiocarcinoma (iCCA), remains a leading cause of global cancer mortality, characterized by extreme tumor heterogeneity. Standard-of-care needle biopsies often suffer from sampling errors, missing aggressive metabolic hotspots and leading to incomplete molecular profiling. This study introduces a novel multi-modal system designed to transform the standard biopsy cannula into an active biochemical sensor for detecting Alpha-2-HS-glycoprotein (AHSG), a key driver of these malignant hotspots. The system utilizes a dual-approach: (1) a real-time intraoperative guidance tool using optical spectroscopy, and (2) an origami-based microfluidic paper analytical device (μPAD) for rapid biomarker verification. Statistical validation demonstrated high diagnostic sensitivity and accuracy in hotspot identification, even within high-noise biological environments. This framework provides a scalable, low-cost solution for precision oncology, potentially reducing the need for repeat biopsies and accelerating the transition to targeted anti-metabolic therapies in resource-limited settings.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 10%
Biosensors and Analytical Detection
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S.P.E.C.T.R.A. - Spectral Protein Evaluation for Core Tissue Real-Time Analysis: A Multi-Modal Precision Biopsy System for AHSG-Driven Metabolic Hotspot Detection — Apoorva Gautham · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS