Low Systemic Inflammation Response Index Predicts Good Prognosis in Locally Advanced Pancreatic Carcinoma Patients Treated with Concurrent Chemoradiotherapy.


Journal

Gastroenterology research and practice
ISSN: 1687-6121
Titre abrégé: Gastroenterol Res Pract
Pays: Egypt
ID NLM: 101475557

Informations de publication

Date de publication:
2020
Historique:
received: 07 05 2020
accepted: 15 07 2020
entrez: 18 8 2020
pubmed: 18 8 2020
medline: 18 8 2020
Statut: epublish

Résumé

We investigated the prognostic significance of pretreatment systemic inflammation response index (SIRI) in locally advanced pancreatic carcinoma (LAPC) patients treated with concurrent chemoradiotherapy (CRT). Present retrospective cohort analysis investigated consecutive 154 LAPC patients who received radical CRT. The SIRI was defined as: SIRI = neutrophil × monocyte/lymphocyte counts. Ideal SIRI cutoff(s) influencing overall survival (OS) and progression-free survival (PFS) results were sought by using receiver operating characteristic (ROC) curve analysis. The primary endpoint was the interaction between the SIRI and OS results. The median follow-up, PFS, and OS durations were 14.3 (range: 2.9-74.6), 7.9 [%95 confidence interval (CI): 5.7-10.1), and 14.7 months (%95 CI: 11.4-18.0) for the entire cohort, respectively. ROC curve analyses determined the ideal SIRI cutoff that exhibiting a significant link with OS and PFS outcomes at the rounded 1.6 point (AUC: 74.3%; sensitivity: 73.8%; specificity: 70.1%).The SIRI <1.6 patients ( Pretreatment SIRI is a novel independent prognosticator that may further enhance the conventional tumor-node-metastases staging system in a more precise prediction of the OS and PFS outcomes of LAPC patients after radical CRT.

Sections du résumé

BACKGROUND BACKGROUND
We investigated the prognostic significance of pretreatment systemic inflammation response index (SIRI) in locally advanced pancreatic carcinoma (LAPC) patients treated with concurrent chemoradiotherapy (CRT).
METHODS METHODS
Present retrospective cohort analysis investigated consecutive 154 LAPC patients who received radical CRT. The SIRI was defined as: SIRI = neutrophil × monocyte/lymphocyte counts. Ideal SIRI cutoff(s) influencing overall survival (OS) and progression-free survival (PFS) results were sought by using receiver operating characteristic (ROC) curve analysis. The primary endpoint was the interaction between the SIRI and OS results.
RESULTS RESULTS
The median follow-up, PFS, and OS durations were 14.3 (range: 2.9-74.6), 7.9 [%95 confidence interval (CI): 5.7-10.1), and 14.7 months (%95 CI: 11.4-18.0) for the entire cohort, respectively. ROC curve analyses determined the ideal SIRI cutoff that exhibiting a significant link with OS and PFS outcomes at the rounded 1.6 point (AUC: 74.3%; sensitivity: 73.8%; specificity: 70.1%).The SIRI <1.6 patients (
CONCLUSION CONCLUSIONS
Pretreatment SIRI is a novel independent prognosticator that may further enhance the conventional tumor-node-metastases staging system in a more precise prediction of the OS and PFS outcomes of LAPC patients after radical CRT.

Identifiants

pubmed: 32802045
doi: 10.1155/2020/5701949
pmc: PMC7414371
doi:

Types de publication

Journal Article

Langues

eng

Pagination

5701949

Informations de copyright

Copyright © 2020 Erkan Topkan et al.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

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Auteurs

Erkan Topkan (E)

Department of Radiation Oncology, Baskent University Medical Faculty, Adana, Turkey.

Huseyin Mertsoylu (H)

Department of Medical Oncology, Baskent University Medical Faculty, Adana, Turkey.

Ahmet Kucuk (A)

Mersin City Education and Research Hospital, Radiation Oncology Clinics, Mersin, Turkey.

Ali Ayberk Besen (AA)

Department of Medical Oncology, Baskent University Medical Faculty, Adana, Turkey.

Ahmet Sezer (A)

Department of Medical Oncology, Baskent University Medical Faculty, Adana, Turkey.

Duygu Sezen (D)

Department of Radiation Oncology, Koc University School of Medicine, Istanbul, Turkey.

Yasemin Bolukbasi (Y)

Department of Radiation Oncology, Koc University School of Medicine, Istanbul, Turkey.

Ugur Selek (U)

Department of Radiation Oncology, Koc University School of Medicine, Istanbul, Turkey.
Department of Radiation Oncology, The University of Texas, MD Anderson Cancer Center, Houston, TX, USA.

Berrin Pehlivan (B)

Department of Radiation Oncology, Bahcesehir University, Istanbul/, Turkey.

Classifications MeSH