Evidence map›Paper›PMID 38790938›Full record

ArticleBiomedicines2024

Correlation of Systemic Inflammation Parameters and Serum SLFN11 in Small Cell Lung Cancer-A Prospective Pilot Study.

Ivana Simić, Azra Guzonjić, Jelena Kotur Stevuljević, Vesna Ćeriman Krstić, Natalija Samardžić, Katarina Savić Vujović, Dragana Jovanović

Abstract read
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Article in Biomedicines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Ivana SimićMedical Affairs, Merck Sharp & Dohme d.o.o., Omladinskih brigada 90a, 11070 Belgrade, Serbia.ORCID 0009-0002-5172-5266
Azra GuzonjićDepartment for Medical Biochemistry, Faculty of Pharmacy, University of Belgrade, Vojvode Stepe 450, 11221 Belgrade, Serbia.ORCID 0000-0002-3605-3652
Jelena Kotur StevuljevićDepartment for Medical Biochemistry, Faculty of Pharmacy, University of Belgrade, Vojvode Stepe 450, 11221 Belgrade, Serbia.
Vesna Ćeriman KrstićFaculty of Medicine, University of Belgrade, Dr Subotica 8, 11000 Belgrade, Serbia.ORCID 0000-0002-6661-9346
Natalija SamardžićClinic for Pulmonology, University Clinical Center of Serbia, Dr Koste Todorovica 26, 11000 Belgrade, Serbia.
Katarina Savić VujovićDepartment of Pharmacology, Clinical Pharmacology and Toxicology, Faculty of Medicine, University of Belgrade, Dr Subotica 8, 11000 Belgrade, Serbia.
Dragana JovanovićInternal Medicine Clinic "Akta Medica", Cara Nikolaja II, 11000 Belgrade, Serbia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesThe objective of this research was to analyze the correlation of the neutrophil-to-lymphocyte ratio (NLR), C-reactive protein (CRP), soluble programmed cell death ligand 1 (sPD-L1), and Schlafen 11 (SLFN11) with the response to first-line chemotherapy in a cohort of small cell lung cancer (SCLC) patients, and to determine their potential as predictive serum biomarkers. MATERIALS AND

methodsA total of 60 SCLC patients were included. Blood samples were taken to determine CRP, sPD-L1, and SLFN11 levels. The first sampling was performed before the start of chemotherapy, the second after two cycles, and the third after four cycles of chemotherapy.

resultsThe patients who died earlier during the study had NLR and SLFN11 concentrations significantly higher compared to the survivor group. In the group of survivors, after two cycles of chemotherapy, the NLR ratio decreased significantly (

conclusionThe combination of inflammatory markers and the levels of two specific proteins (sPD-L1, SLFN11) could potentially serve as a non-invasive biomarker for predicting responses to DNA-damaging therapeutic agents in SCLC.

Indexed as

biomarkerinflammationSCLCSLFN11sPD-L1

Identifiers

PMID38790938
PMCPMC11117707

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.