# Modified systemic immune-inflammatory index, modified systemic inflammatory response index and hemoglobin-albumin-lymphocyte-platelet score may serve as markers for evaluating the efficacy of neoadjuvant therapy in breast cancer patients

**Authors:** Yuhong Gan, Rongkun Zhu, Jinyuan Li, Qiuming Wang, Xiaobin Meng

PMC · DOI: 10.3389/fonc.2026.1746164 · Frontiers in Oncology · 2026-02-13

## TL;DR

This study suggests that blood-based scores like mSII, mSIRI, and HALP can help predict how well breast cancer patients will respond to neoadjuvant therapy.

## Contribution

The study introduces mSII, mSIRI, and HALP as novel predictive markers for neoadjuvant therapy efficacy in breast cancer.

## Key findings

- Higher mSII and mSIRI and lower HALP scores were associated with better neoadjuvant therapy response.
- Logistic regression confirmed mSII, mSIRI, and HALP as independent predictors of treatment efficacy.
- Non-luminal subtypes showed increased odds of treatment response.

## Abstract

To explore the evaluation value of the modified systemic immune-inflammatory index (mSII), modified systemic inflammatory response index (mSIRI) and hemoglobin-albumin-lymphocyte-platelet (HALP) score for the efficacy of neoadjuvant therapy (NAT) in breast cancer.

A total of 343 breast cancer patients who received NAT at Meizhou People’s Hospital from June 2016 to October 2023 were analyzed. Clinical and pathological data before treatment and peripheral blood detection indicators were collected. A response to NAT was defined as the achievement of pathological complete response (CR) or partial response (PR). mSII, mSIRI, and HALP score were calculated, and the receiver operating characteristic (ROC) curve analysis was used to evaluate the predictive efficacy of each indicator. The relationship between NAT efficacy and mSII, mSIRI, HALP was analyzed.

179 patients (52.2%) showed no response to NAT, while 164 (47.8%) exhibited a response. The NAT-responsive group had a higher proportion of HER2-positive and TNBC subtypes compared with the nonresponsive group (p = 0.007). Compared with the NAT-nonresponsive group, the NAT-responsive group had significantly higher levels of mSII (p < 0.001) and mSIRI (p < 0.001), while the HALP level was notably lower (p = 0.001). The cutoff value of mSII was 2500.145 (area under the ROC curve [AUC]=0.676), while mSIRI had a cutoff of 680.92 (AUC = 0.679) and HALP had a cutoff of 33.385 (AUC = 0.600) by ROC curve analysis. Logistic regression analysis demonstrated that non-luminal subtype (odds ratio [OR]=2.059, 95% confidence interval [CI]=1.294–3.277, p = 0.002), elevated mSII (OR = 3.665, 95% CI = 2.235–6.010, p < 0.001), increased mSIRI (OR = 3.860, 95% CI = 2.350–6.338, p < 0.001), and reduced HALP (OR = 2.267, 95% CI = 1.411–3.643, p = 0.001) were independently associated with NAT efficacy.

Elevated mSII, mSIRI, and low HALP score were associated with the effectiveness of NAT in breast cancer. mSII, mSIRI, and HALP score may serve as valuable predictive indicators for the effectiveness of neoadjuvant therapy in breast cancer.

## Linked entities

- **Diseases:** breast cancer (MONDO:0004989)

## Full-text entities

- **Genes:** ELANE (elastase, neutrophil expressed) [NCBI Gene 1991] {aka ELA2, GE, HLE, HNE, NE, PMN-E}, ERBB2 (erb-b2 receptor tyrosine kinase 2) [NCBI Gene 2064] {aka CD340, HER-2, HER-2/neu, HER2, MLN 19, MLN-19}, ESR1 (estrogen receptor 1) [NCBI Gene 2099] {aka ER, ESR, ESRA, ESTRR, Era, NR3A1}, TENM1 (teneurin transmembrane protein 1) [NCBI Gene 10178] {aka ODZ1, ODZ3, TEN-M1, TEN1, TNM, TNM1}, MMP9 (matrix metallopeptidase 9) [NCBI Gene 4318] {aka CLG4B, GELB, MANDP2, MMP-9}, EREG (epiregulin) [NCBI Gene 2069] {aka EPR, ER, Ep}, PGR (progesterone receptor) [NCBI Gene 5241] {aka NR3C3, PR}, ALB (albumin) [NCBI Gene 213] {aka FDAHT, HSA, PRO0883, PRO0903, PRO1341}
- **Diseases:** overweight (MESH:D050177), HALP (OMIM:194470), autoimmune diseases (MESH:D001327), lymph node metastasis (MESH:D008207), Breast cancer (MESH:D001943), TNBC (MESH:D064726), underweight (MESH:D013851), chronic (MESH:D002908), metabolic disorders (MESH:D008659), hypertension (MESH:D006973), blood system diseases (MESH:D006402), Malnutrition (MESH:D044342), diseases (MESH:D004194), Inflammatory (MESH:D007249), luminal B (MESH:D006509), N (MESH:C536108), diabetes mellitus (MESH:D003920), cancer (MESH:D009369), infections (MESH:D007239)
- **Chemicals:** pertuzumab (MESH:C485206), E (MESH:D004540), cyclophosphamide (MESH:D003520), docetaxel (MESH:D000077143), H (MESH:D006859), Cb (MESH:D016190), TEC (MESH:C405323), T (MESH:D014316), TCbH (-), epirubicin (MESH:D015251), C (MESH:D002244), trastuzumab (MESH:D000068878), paclitaxel (MESH:D017239)
- **Species:** XM [taxon 2771548], Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

2 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12945815/full.md

## References

58 references — full list in the complete paper: https://tomesphere.com/paper/PMC12945815/full.md

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Source: https://tomesphere.com/paper/PMC12945815