Evidence map›Paper›PMID 41462161›Full record

Observational studyBMC cancer2025

Diagnostic value of peripheral blood inflammatory indices for breast cancer grade and immunohistochemical markers: a retrospective observational study.

Nahid Nafissi, Mohammad Rezazadeh, Ahmadreza Kheradpishe, Hanieh Radkhah, Maedeh Bayani, Bahareh Shateri Amiri, Ghazal Tavakoli, Mohammad Mehdi Hasheminezhad, Maryam Khalili, Asma Mousavi

Abstract readObservational Study
In one paragraph

Observational study in BMC cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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

10 authors.

Nahid NafissiBreast Disease and Cancer Research Center, School of Medicine, Iran University of Medical Science, Tehran, Iran.
Mohammad RezazadehStudent Research Committee, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Ahmadreza KheradpisheStudent Research Committee, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Hanieh RadkhahInternal Medicine Department, School of Medicine, Sina Hospital, Tehran University of Medical Sciences, Tehran, Iran. Hanieh.radkhah@gmail.com.
Maedeh BayaniStudent Research Committee, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Bahareh Shateri AmiriDepartment of Internal Medicine, School of Medicine, Hazrat-e Rasool General Hospital, Iran University of Medical Sciences (IUMS), Tehran, Iran. Shateri.bahareh@yahoo.com.
Ghazal TavakoliStudent Research Committee, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Mohammad Mehdi HasheminezhadStudent Research Committee, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Maryam KhaliliStudent Research Committee, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Asma MousaviTehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionBreast cancer remains a leading global health burden with rising incidence, particularly in low- and middle-income countries. Emerging evidence suggests that systemic inflammatory indices may correlate with malignancies' prognostic features. This study aimed to evaluate the diagnostic value of six peripheral blood inflammatory indices, including systemic immune-inflammation index (SII), lymphocytes-albumin to neutrophils ratio (LANR), neutrophil-to-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), hemoglobin-to-red cell distribution width ratio (HRR), and glucose-to-lymphocyte ratio (GLR), in predicting breast tumor grade and immunohistochemical (IHC) markers expression.

methodsThis retrospective observational study involved 114 patients with breast cancer, admitted to Rasoul-Akram Hospital from September 2020 to 2024, undergoing elective tumor resection. Tumor grade and ER, PR, and HER2 expression were determined via biopsy. Ordinal logistic regression was applied to determine tumor grade and IHC marker expression predictors. ROC curve analyses were used to assess the diagnostic performance of significant indices.

resultsAmong all indices, NLR showed a statistically significant association with tumor grade (p = 0.027), with higher NLR correlating with poorer differentiation. Additionally, ordinal regression analyses show that NLR and LANR were significantly associated with HER2 expression status. ROC analysis of NLR revealed moderate diagnostic value for tumor grade (AUC = 0.652, cutoff = 2.15, sensitivity = 59.3%, specificity = 69.0%). Other indices did not demonstrate significant predictive capacity for grade or IHC markers expression.

conclusionNLR, a cost-effective and widely accessible marker, showed moderate diagnostic value for predicting tumor grade and HER2 status in breast cancer. Incorporating NLR into preoperative evaluations may aid early risk stratification and guide individualized treatment planning.

Indexed as

Biomarkers, TumorBreast NeoplasmsInflammationAdultAgedErb-b2 Receptor Tyrosine KinasesFemaleHumansImmunohistochemistryLymphocytesMiddle AgedNeoplasm GradingNeutrophilsPrognosisRetrospective StudiesROC CurveBiomarkers, TumorErb-b2 Receptor Tyrosine KinasesBreast cancerImmunohistochemical markersNeutrophil-to-lymphocyte ratioPeripheral blood inflammatory indicesTumor grade

Identifiers

PMID41462161
PMCPMC12746618

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.