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

Ahmed Amine Zergoun; Syhem Braikia; Mohsen Wahib Boubnider; Kamel Bouzid; Chafia Touil-Boukoffa

Open Access

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

Ahmed Amine Zergoun

Syhem Braikia

Mohsen Wahib Boubnider

Kamel Bouzid

and

Chafia Touil-Boukoffa

| Jun 18, 2024

Forum of Clinical Oncology

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Published Online: Jun 18, 2024

Page range: -

Received: Oct 28, 2023

Accepted: Jan 22, 2024

DOI: https://doi.org/10.2478/fco-2023-0021

Keywords
breast cancer, SII, MLR, SIRI, prognostic factor, survival

© 2023 Ahmed Amine Zergoun et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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.

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

Density map of countries in co-authorship.

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

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

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

Clinical characteristics of breast cancer patients.

Characteristic		Untreated BC
Age Median (range)		46 (30–75)
T stage	T1	8 (13.55%)
	T2	30 (50.84%)
	T3	8 (13.55%)
	T4	8 (13.55%)
	ND	5 (8.47%)

N stage	N0	20 (33.89%)
	N1	28 (47.45%)
	N2	5 (8.47%)
	N3	1 (1.69%)
	ND	5 (8.47%)

Stage disease	IA	2 (3.39%)
	IIA	21 (35.59%)
	IIB	17 (28.81%)
	IIIA	6 (10.17%)
	IIIB	8 (13.55%)
	IIIC	1 (1.69%)
	ND	4 (6.78%)

Laterality of tumor	Right breast	24 (40.67%)
Laterality of tumor	Left breast	35 (59.32%)

Histological classification	CCI	49 (83.05%)
	CLI	4 (6.78%)
	Mixte	5 (8.47%)
	colloid	1 (1.69%)

SBR classification	I	1 (1.69%)
	II	35 (59.32%)
	II/III	2 (3.39%)
	III	20 (33.89%)
	ND	1 (1.69%)

Molecular classification	Lum A	6 (10.17%)
	Lum B	24 (40.67%)
	Lum B-like	7 (11.86%)
	HER2+	9 (15.25%)
	TNBC	8 (13.55%)
	Lum A or B	5 (8.47%)

Treatment	Chemotherapy	58/59
	Radiotherapy	51/59
	Hormonotherapy	36/42
	Anti-HER2	16/16

Baseline hematological values.

Blood values	Population
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.

Subgroups	N	SII		P value	N	NLR		P value	N	MLR		P value	N	SIRI		P value

		Low	High			Low	High			Low	High			Low	High
Recurrence-free survival
Age	59			0.601	59			0.7787	42			0.3357	42			0.3357
≤ 46		14	16			20	10			6	16			6	16
> 46		11	18			21	8			9	11			9	11
T staging	55			0.5648	55			0.2127	39			1	39			0.7281
T1+T2		16	23			29	10			10	16			11	15
T3+T4		8	8			9	7			5	8			4	9
N staging	55			1	55			0.7630	39			1	39			1
N0		9	11			13	7			4	7			4	7
N+		15	20			25	10			11	17			10	18
Clinical staging	55			1	55			0.1892	39			1	39			0.7281
I+II		17	23			30	10			10	16			11	15
III+IV		7	8			8	7			5	8			4	9
SBR classification	58			0.2661	58			1	41			1	41			0.1703
I+II		18	20			26	12			9	18			7	20
III		6	14			13	7			5	9			7	7
Laterality of tumor	59			0.7897	59			1	42			0.2072	42			1
Right breast		11	13			16	8			4	13			6	11
Left breast		14	21			24	11			11	14			9	16
Distant metastasis-free survival
Age	59			0.601	59			1	42			1	42			0.3357
≤ 46		14	16			8	22			17	5			6	16
> 46		11	18			8	21			16	4			9	11
T staging	55			0.5648	55			0.3263	39			0.1938	39			0.7281
T1+T2		16	23			9	30			23	3			11	15
T3+T4		8	8			6	10			9	4			4	9
N staging	55			1	55			0.5308	39			1	39			1
N0		9	11			4	16			9	2			4	7
N+		15	20			11	24			23	5			10	18
Clinical staging	55			1	55			0.7348	39			0.1938	39			0.7281
I+II		17	23			10	30			23	3			11	15
III+IV		7	8			5	10			9	4			4	9
SBR classification	58			0.2661	58			0.5413	41			0.6925	41			0.1703
I+II		18	20			11	27			20	7			7	20
III		6	14			4	16			12	2			7	7
Laterality of tumor	59			0.7897	59			0.1518	42			0.2708	42			1
Right breast		11	13			9	15			15	2			6	11
Left breast		14	21			7	28			18	7			9	16

Univariate Cox regression analysis for DMFS.

	HR	95% CI	P
Age	0.820	0.323–2.079	0.676
T staging	1.380	0.518–3.680	0.519
N staging	0.751	0.291–1.942	0.555
SBR classification	0.834	0.297–2.342	0.730
NLR	1.822	0.718–4.625	0.207
SII	3.118	1.023–9.501	0.045
MLR‡	5.556	1.707–18.085	0.004
SIRI‡	7.261	0.935–56.366	0.058

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

Subgroups	Cutoff value	AUC	Sensitivity (%)	Specificity (%)	Youden index	95% CI of AUC	P-value
Recurrence-free survival
NLR	2.11	0.568	41.4	76.7	0.181	0.425–0.712	0.35
PLR	291.81	0.440	6.9	100	0.069	0.295–0.585	0.419
SII	472	0.578	69	53.3	0.223	0.434–0.722	0.287
MLR‡	0.16	0.693	85.7	57.1	0.428	0.538–0.847	0.014
SIRI‡	0.6888	0.741	85.7	57.1	0.428	0.598–0.885	0.001
Distant metastasis-free survival
NLR	1.6	0.59	88.9	34.1	0.23	0.434–0.746	0.258
PLR	128.33	0.497	50	63.4	0.134	0.334–0.660	0.974
SII	472	0.634	77.8	51.2	0.29	0.49–0.779	0.069
MLR‡	0.28	0.657	41.7	86.7	0.284	0.485–0.829	0.074
SIRI‡	0.6888	0.722	91.7	46.7	0.384	0.569–0.875	0.004
Overall survival
NLR	2.85	0.508	42.9	90.4	0.333	0.208–0.808	0.957
PLR	119.52	0.404	57.1	50	0.071	0.174–0.633	0.412
SII	712	0.544	42.9	80.8	0.237	0.295–0.793	0.730
MLR‡	0.11	0.559	100	18.9	0.189	0.3–0.819	0.653
SIRI‡	1.3823	0.605	40	86.5	0.265	0.346–0.865	0.426

Univariate Cox regression analysis for RFS.

	HR	95% CI	P
Age	1.237	0.596–2.568	0.569
T staging	1.318	0.611–2.845	0.482
N staging	1.265	0.56–2.858	0.572
SBR classification	1.055	0.478–2.328	0.894
NLR	1.532	0.73–3.217	0.26
SII	2.263	1.022–5.014	0.044
MLR‡	4.311	1.262–14.729	0.020
SIRI‡	3.845	1.116–13.246	0.033

eISSN:: 1792-362X
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Prognostic value of pro-inflammatory markers at the preoperative stage in Algerian women with breast cancer

Article Category: Research Article

Published Online: Jun 18, 2024

Page range: -

Received: Oct 28, 2023

Accepted: Jan 22, 2024

DOI: https://doi.org/10.2478/fco-2023-0021

Keywords
breast cancer, SII, MLR, SIRI, prognostic factor, survival

© 2023 Ahmed Amine Zergoun et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1:

Figure 2:

Figure 3:

Figure 4:

Figure 5:

Figure 6:

Figure 7:

Figure 8:

Clinical characteristics of breast cancer patients.

Baseline hematological values.

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

Univariate Cox regression analysis for DMFS.

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

Univariate Cox regression analysis for RFS.

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

Article Category: Research Article

Published Online: Jun 18, 2024

Page range: -

Received: Oct 28, 2023

Accepted: Jan 22, 2024

DOI: https://doi.org/10.2478/fco-2023-0021

Keywordsbreast cancer, SII, MLR, SIRI, prognostic factor, survival

© 2023 Ahmed Amine Zergoun et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1:

Figure 2:

Figure 3:

Figure 4:

Figure 5:

Figure 6:

Figure 7:

Figure 8:

Clinical characteristics of breast cancer patients.

Baseline hematological values.

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

Univariate Cox regression analysis for DMFS.

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

Univariate Cox regression analysis for RFS.

Keywords
breast cancer, SII, MLR, SIRI, prognostic factor, survival