297. ASSESSING BLOOD-BASED BIOMARKERS IN OESOPHAGEAL CANCER PATIENTS RECEIVING NEOADJUVANT CHEMORADIOTHERAPY

Abstract Background Oesophageal cancer is the sixth most common cause of cancer-related deaths globally. It has a significant rate of mortality despite the multimodal approach to treatment. Neo-adjuvant chemoradiotherapy is standard of care but there is a clinical need for new therapies. HER2-targeted therapies and immune checkpoint inhibitors targeting the PD-1/PD-L1 axis have emerged as treatment strategies of significant interest in recent years. This study focuses on exploring potential plasma-based biomarkers (growth factors, cytokines, soluble (s) PD-L1) in patients (pts) with oesophageal cancer receiving standard of care neo-adjuvant therapy and stratified based on HER2 expression and pathological complete response (pCR). Methods 50 pts with oesophageal cancer who are eligible for neoadjuvant therapy were recruited. Blood samples were taken pre-treatment, on the first day of the 2nd cycle and post-neoadjuvant treatment. Plasma was extracted within four hours of blood draw and stored at -800C. 20 matched pre- and post-treatment samples were included in this analysis. HER2 status (IHC 3+ (n=3), IHC 2+ (n=5), IHC 1+ (n=3), IHC 0 (n=6) was available for 17 pts. 3 pts achieved a pCR but no HER2 IHC data was available. The levels (pg/ml) of 21 analytes were assessed using the Human Growth Factor Luminex Performance Assay and a Luminex MagPix system. Changes were significant if p<0.05, paired student’s t test. Results Twenty-one biomarkers of response were assessed in the final analysis. Platelet-derived growth factor (PDGF)-AA and PDGF AA/BB displayed the highest concentration levels of the tested analytes but levels did not change pre-and post-treatment. GRO-b (CXCL2) and vascular endothelial growth factor (VEGF) displayed a numerical increase post-treatment but this did not prove significant (p<0.05). Tumour-necrosis factor-related apoptosis-inducing ligand (TRAIL) protein decreased significantly post-therapy (p=0.038). PD-L1 levels significantly increased in the post-treatment cycles (paired t-test p=0.0029), especially in pts with HER2+ status. TRAIL or sPD-L1 levels were not significantly different when categorised by HER2 IHC or pCR status. Conclusion The increase in sPD-L1 and reduction in TRAIL levels in the peripheral blood of oesophageal cancer patients following neoadjuvant therapy suggests treatment alters factors associated with immune-suppression and the induction of tumour cell death. Further investigation in a larger cohort is warranted.

Authors

Institutions

Publication Details

Journal
Diseases of the Esophagus
Published
2024-09-01
DOI
https://doi.org/10.1093/dote/doae057.068
Primary Topic
Esophageal Cancer Research and Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

297. ASSESSING BLOOD-BASED BIOMARKERS IN OESOPHAGEAL CANCER PATIENTS RECEIVING NEOADJUVANT CHEMORADIOTHERAPY

W B Robb, Dermot O’Reilly, Denis M. Collins, J. Crown et al.
Diseases of the Esophagus
Esophageal Cancer Research and Treatment
article

297. ASSESSING BLOOD-BASED BIOMARKERS IN OESOPHAGEAL CANCER PATIENTS RECEIVING NEOADJUVANT CHEMORADIOTHERAPY

W B Robb, Dermot O’Reilly, Denis M. Collins, J. Crown, Mohammed Al Azzawi, A Hill
article en

Abstract

Abstract Background Oesophageal cancer is the sixth most common cause of cancer-related deaths globally. It has a significant rate of mortality despite the multimodal approach to treatment. Neo-adjuvant chemoradiotherapy is standard of care but there is a clinical need for new therapies. HER2-targeted therapies and immune checkpoint inhibitors targeting the PD-1/PD-L1 axis have emerged as treatment strategies of significant interest in recent years. This study focuses on exploring potential plasma-based biomarkers (growth factors, cytokines, soluble (s) PD-L1) in patients (pts) with oesophageal cancer receiving standard of care neo-adjuvant therapy and stratified based on HER2 expression and pathological complete response (pCR). Methods 50 pts with oesophageal cancer who are eligible for neoadjuvant therapy were recruited. Blood samples were taken pre-treatment, on the first day of the 2nd cycle and post-neoadjuvant treatment. Plasma was extracted within four hours of blood draw and stored at -800C. 20 matched pre- and post-treatment samples were included in this analysis. HER2 status (IHC 3+ (n=3), IHC 2+ (n=5), IHC 1+ (n=3), IHC 0 (n=6) was available for 17 pts. 3 pts achieved a pCR but no HER2 IHC data was available. The levels (pg/ml) of 21 analytes were assessed using the Human Growth Factor Luminex Performance Assay and a Luminex MagPix system. Changes were significant if p<0.05, paired student’s t test. Results Twenty-one biomarkers of response were assessed in the final analysis. Platelet-derived growth factor (PDGF)-AA and PDGF AA/BB displayed the highest concentration levels of the tested analytes but levels did not change pre-and post-treatment. GRO-b (CXCL2) and vascular endothelial growth factor (VEGF) displayed a numerical increase post-treatment but this did not prove significant (p<0.05). Tumour-necrosis factor-related apoptosis-inducing ligand (TRAIL) protein decreased significantly post-therapy (p=0.038). PD-L1 levels significantly increased in the post-treatment cycles (paired t-test p=0.0029), especially in pts with HER2+ status. TRAIL or sPD-L1 levels were not significantly different when categorised by HER2 IHC or pCR status. Conclusion The increase in sPD-L1 and reduction in TRAIL levels in the peripheral blood of oesophageal cancer patients following neoadjuvant therapy suggests treatment alters factors associated with immune-suppression and the induction of tumour cell death. Further investigation in a larger cohort is warranted.

Diseases of the EsophagusVol. 37(Supplement_1)
Royal College of Surgeons in Ireland (IE), Beaumont Hospital (IE), St. Vincent's University Hospital (IE), Dublin City University (IE)
Openalex Percentile: Top 73%
Esophageal Cancer Research and Treatment
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.