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Prognostic value of pro-inflammatory markers at the preoperative stage in Algerian women with breast cancer Cover

Prognostic value of pro-inflammatory markers at the preoperative stage in Algerian women with breast cancer

Open Access
|Jun 2024

Figures & Tables

Figure 1:

Prognostic value of inflammatory markers for breast cancer patients. (A) Kaplan-Meier curves of RFS for NLR, MLR, SII and SIRI. (B) Kaplan-Meier curves of DMFS for NLR, MLR, SII and SIRI. (C) Kaplan-Meier curves of OS for SIRI.
Prognostic value of inflammatory markers for breast cancer patients. (A) Kaplan-Meier curves of RFS for NLR, MLR, SII and SIRI. (B) Kaplan-Meier curves of DMFS for NLR, MLR, SII and SIRI. (C) Kaplan-Meier curves of OS for SIRI.

Figure 2:

Top 10 countries shared publications on breast cancer recurrence and tumor size.
Top 10 countries shared publications on breast cancer recurrence and tumor size.

Figure 3:

Density map of countries in co-authorship.
Density map of countries in co-authorship.

Figure 4:

Country co-authorship mapping.
Country co-authorship mapping.

Figure 5:

Top 10 authors published on breast cancer recurrence and tumor size.
Top 10 authors published on breast cancer recurrence and tumor size.

Figure 6:

Top 10 affliations shared publications on breast cancer recurrence and tumor size.
Top 10 affliations shared publications on breast cancer recurrence and tumor size.

Figure 7:

top 5 journals shared publications on breast cancer and tumor size.
top 5 journals shared publications on breast cancer and tumor size.

Figure 8:

Most related keywords.
Most related keywords.

Clinical characteristics of breast cancer patients_

Characteristic Untreated BC
Age Median (range) 46 (30–75)
T stageT18 (13.55%)
T230 (50.84%)
T38 (13.55%)
T48 (13.55%)
ND5 (8.47%)

N stageN020 (33.89%)
N128 (47.45%)
N25 (8.47%)
N31 (1.69%)
ND5 (8.47%)

Stage diseaseIA2 (3.39%)
IIA21 (35.59%)
IIB17 (28.81%)
IIIA6 (10.17%)
IIIB8 (13.55%)
IIIC1 (1.69%)
ND4 (6.78%)

Laterality of tumorRight breast24 (40.67%)
Left breast35 (59.32%)

Histological classificationCCI49 (83.05%)
CLI4 (6.78%)
Mixte5 (8.47%)
colloid1 (1.69%)

SBR classificationI1 (1.69%)
II35 (59.32%)
II/III2 (3.39%)
III20 (33.89%)
ND1 (1.69%)

Molecular classificationLum A6 (10.17%)
Lum B24 (40.67%)
Lum B-like7 (11.86%)
HER2+9 (15.25%)
TNBC8 (13.55%)
Lum A or B5 (8.47%)

TreatmentChemotherapy58/59
Radiotherapy51/59
Hormonotherapy36/42
Anti-HER216/16

Baseline hematological values_

Blood valuesPopulation
Mean white blood cell (± SD)6.926 (± 1.720)
Mean neutrophils (± SD)4.152 (± 1.307)
Mean lymphocytes (± SD)2.180 (± 0.6109)
Mean monocytes (± SD)0.4483 (± 0.2294)
Mean platelets (± SD)264.553 (± 63.215)
Mean MLR (± SD)0.2256 (± 0.1675)
Mean NLR (± SD)2.021 (± 0.7890)
Mean PLR (± SD)130.8 (± 59.11)
Mean SIRI (± SD)0.8649 (±0.4827)
Mean SII (± SD)530.5 (±209.3)

Clinicopathological characteristics of breast cancers according to inflammatory markers for RFS and DMFS_

SubgroupsNSIIP valueNNLRP valueNMLRP valueNSIRIP value

LowHigh LowHigh LowHigh LowHigh
Recurrence-free survival
Age59 0.60159 0.778742 0.335742 0.3357
≤ 46 1416 2010 616 616
> 46 1118 218 911 911
T staging55 0.564855 0.212739 139 0.7281
T1+T2 1623 2910 1016 1115
T3+T4 88 97 58 49
N staging55 155 0.763039 139 1
N0 911 137 47 47
N+ 1520 2510 1117 1018
Clinical staging55 155 0.189239 139 0.7281
I+II 1723 3010 1016 1115
III+IV 78 87 58 49
SBR classification58 0.266158 141 141 0.1703
I+II 1820 2612 918 720
III 614 137 59 77
Laterality of tumor59 0.789759 142 0.207242 1
Right breast 1113 168 413 611
Left breast 1421 2411 1114 916
Distant metastasis-free survival
Age59 0.60159 142 142 0.3357
≤ 46 1416 822 175 616
> 46 1118 821 164 911
T staging55 0.564855 0.326339 0.193839 0.7281
T1+T2 1623 930 233 1115
T3+T4 88 610 94 49
N staging55 155 0.530839 139 1
N0 911 416 92 47
N+ 1520 1124 235 1018
Clinical staging55 155 0.734839 0.193839 0.7281
I+II 1723 1030 233 1115
III+IV 78 510 94 49
SBR classification58 0.266158 0.541341 0.692541 0.1703
I+II 1820 1127 207 720
III 614 416 122 77
Laterality of tumor59 0.789759 0.151842 0.270842 1
Right breast 1113 915 152 611
Left breast 1421 728 187 916

Univariate Cox regression analysis for DMFS_

HR95% CIP
Age0.8200.323–2.0790.676
T staging1.3800.518–3.6800.519
N staging0.7510.291–1.9420.555
SBR classification0.8340.297–2.3420.730
NLR1.8220.718–4.6250.207
SII3.1181.023–9.5010.045
MLR‡5.5561.707–18.0850.004
SIRI‡7.2610.935–56.3660.058

Optimal cutoff values of preoperative NLR, PLR, SII, MLR, SIRI for predicting RFS, DMFS, and OS in breast cancers_

SubgroupsCutoff valueAUCSensitivity (%)Specificity (%)Youden index95% CI of AUCP-value
Recurrence-free survival
NLR2.110.56841.476.70.1810.425–0.7120.35
PLR291.810.4406.91000.0690.295–0.5850.419
SII4720.5786953.30.2230.434–0.7220.287
MLR0.160.69385.757.10.4280.538–0.8470.014
SIRI0.68880.74185.757.10.4280.598–0.8850.001
Distant metastasis-free survival
NLR1.60.5988.934.10.230.434–0.7460.258
PLR128.330.4975063.40.1340.334–0.6600.974
SII4720.63477.851.20.290.49–0.7790.069
MLR0.280.65741.786.70.2840.485–0.8290.074
SIRI0.68880.72291.746.70.3840.569–0.8750.004
Overall survival
NLR2.850.50842.990.40.3330.208–0.8080.957
PLR119.520.40457.1500.0710.174–0.6330.412
SII7120.54442.980.80.2370.295–0.7930.730
MLR0.110.55910018.90.1890.3–0.8190.653
SIRI1.38230.6054086.50.2650.346–0.8650.426

Univariate Cox regression analysis for RFS_

HR95% CIP
Age1.2370.596–2.5680.569
T staging1.3180.611–2.8450.482
N staging1.2650.56–2.8580.572
SBR classification1.0550.478–2.3280.894
NLR1.5320.73–3.2170.26
SII2.2631.022–5.0140.044
MLR‡4.3111.262–14.7290.020
SIRI‡3.8451.116–13.2460.033
DOI: https://doi.org/10.2478/fco-2023-0021 | Journal eISSN: 1792-362X | Journal ISSN: 1792-345X
Language: English
Page range: 45 - 56
Submitted on: Oct 28, 2023
Accepted on: Jan 22, 2024
Published on: Jun 18, 2024
Published by: Helenic Society of Medical Oncology
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2024 Ahmed Amine Zergoun, Syhem Braikia, Mohsen Wahib Boubnider, Kamel Bouzid, Chafia Touil-Boukoffa, published by Helenic Society of Medical Oncology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.