PhD Scientific Days 2022

Pathology and Oncology II. (Poster discussion will take place on the terrace of the room during the Coffee Break)

Prognostic Importance of Peripheral Blood Biomarker Combinations in Advanced Cancer

Előadó neve

Dr. Dániel, Deme

Előadó munkahelye

Department of Oncology, Szent Lázár County Hospital

Előadó telefonszáma

+36205512351

Előadó e-mail címe

danieldeme_md@ymail.com

Az előadás címe

Prognostic Importance of Peripheral Blood Biomarker Combinations in Advanced Cancer

Szerző(k) neve és munkahelye

Deme, Dániel, MD1, Kovács, Sándor, PhD2, Telekes, András, Prof. Dr.1
1 Department of Oncology, Szent Lázár County Hospital, Salgótarján
2 Department of Economical and Financial Mathematics, University of Debrecen

Bemutatás módja

Szóbeli

Szekció

Pathology and Oncology II. (Poster discussion will take place on the terrace of the room during the Coffee Break)

Language of the presentation

Hungarian

Preferred session

Pathology and Oncology

Összefoglaló szövege

INTRODUCTION: Consistent association between elevated baseline peripheral blood values each of the CRP, D-dimer, LDH, decreased albumin, LMR, elevated CRP to albumin ratio (CAR), NLR, PLR, combinations of some of these biomarkers and the short overall survival (OS) of patients with malignant diseases has already been reported.
AIMS: To reveal an association of the well-known biomarkers, some of their combinations and the OS in real-life situation of consecutive patients suffering from advanced cancer.
METHODS: Retrospective analysis of the association of the biomarkers and their combinations with OS of 75 advanced cancer patients with the application of validated cut-off determination. RESULTS: CRP, albumin and PLR showed marked association with OS. Based on assessed biomarker cut-offs, four patient groups were created whether biomarker values are out of range (ORV) compared to cut-off: (1) No ORV biomarkers (n = 24; OS = 26.1 months); (2) One ORV biomarker (n = 21; OS = 13.5 months); (3) Two ORV biomarkers (n = 20; OS = 7.9 months) and (4) Three ORV biomarkers (n = 10; OS = 3.9 months). Significant differences in OS were detected between the groups: for 1. vs. 2. hazard ratio (HR)=3.0 (95%CI:1.5–6.2), p=0.003; for 1. vs. 3. HR=4.1 (95%CI:2.0–8.3), p<0.001; for 1 vs. 4. HR=10.2 (95%CI:4.2–24.6), p<0.001. CAR, PLR and D-dimer scalar (PLRxD-dimer) and NLR exhibited significant association with OS. Based on these biomarker-combination cut-offs four prognostic groups were created: (1) No ORV biomarkers (n = 27; OS = 25.2 months); (2) One ORV biomarker (n = 29; OS = 11.1 months); (3) Two ORV biomarkers (n = 10; OS = 5.9 months) and (4) Three ORV biomarkers (n = 9; OS = 4.1months). OS differences were significant between the groups: 1. vs. 2. HR=3.0(95%CI:1.7–5.4), p<0.001; 1. vs. 3. HR=5.3(95%CI:2.4–11.7), p<0.001; 1 vs. 4. HR=9.0(95%CI:3.9–20.8), p<0.001.
CONCLUSIONS: Based on this analysis it can be confirmed, that the complex monitoring of CRP, albumin and PLR would provide a good estimation of OS, however the combination of CAR, PLRxD-dimer and NLR allow better OS prediction. Large scale prospective studies are warranted to explore this and other useful combination of prognostic biomarkers and their relationship to the well-established prognostic systems in real-life.
FUNDING: No support was provided for this retrospective analysis.

University and Doctoral School

Semmelweis University, Károly Rácz Doctoral School of Clinical Medicine

Supervisor

Telekes András, Prof. Dr.

Publication of my abstract

I do not give consent to the publication of my abstract on the website of the congress.

Kind

Szabad

Status

elfogadva

Accepted presentation method

szóbeli

Előadás fájl jóváhagyás

nem rendelkezett róla

Előadó

6816

Start

10:45

End

11:00

Authors (legacy)

Deme, Dániel, MD1, Kovács, Sándor, PhD2, Telekes, András, Prof. Dr.1
1 Department of Oncology, Szent Lázár County Hospital, Salgótarján
2 Department of Economical and Financial Mathematics, University of Debrecen