# Predicting the Unpredictable: Prognostic Role of Systemic Inflammatory Indices and Tumor Biology of Neoadjuvant Chemotherapy Response in Gastric and Gastroesophageal Junction Cancer—Insights from a Systematic Review and Real-World Experience

**Authors:** Sibel Oyucu Orhan, Bedrettin Orhan, Yağmur Çakır, Seda Sali, Burcu Caner, Birol Ocak, Ahmet Bilgehan Şahin, Adem Deligönül, Erdem Çubukçu, Türkkan Evrensel

PMC · DOI: 10.3390/jcm15041484 · 2026-02-13

## TL;DR

This study finds that tumor biology and immune response, not chemotherapy type, are key to predicting survival in gastric cancer patients.

## Contribution

The study identifies systemic inflammatory indices and tumor biology as stronger prognostic factors than chemotherapy regimen choice in gastric cancer.

## Key findings

- Lymphovascular invasion and pan-cytokeratin are independent prognostic markers for poor survival.
- Monocyte-to-lymphocyte ratio is an independent adverse factor in survival outcomes.
- FLOT chemotherapy regimen did not show statistically significant survival benefit over non-FLOT.

## Abstract

Background/Objectives: Perioperative chemotherapy is the standard treatment for locally advanced gastric and gastroesophageal junction adenocarcinoma; however, substantial uncertainty remains regarding the optimal management of non-responding patients and the prognostic relevance of biological and inflammatory biomarkers. This study aimed to determine, using real-world data integrated with a comprehensive literature review, whether long-term survival is driven primarily by the choice of chemotherapy regimen or by the tumor’s intrinsic biological aggressiveness and the host’s systemic inflammatory response. Methods: A retrospective analysis was performed of 43 patients with locally advanced gastric cancer who received neoadjuvant chemotherapy. Survival outcomes were stratified by regimen (FLOT versus non-FLOT) and analyzed using Kaplan–Meier methods. The prognostic value of clinicopathological features and systemic inflammatory indices was assessed using multivariate Cox regression models to identify independent predictors of mortality. Results: Although FLOT showed a trend toward improved overall survival (OS) (median not reached vs. 18.9 months), this difference did not reach statistical significance. Univariate analysis linked lymphovascular invasion (LVI) (HR = 4.17; p = 0.003), pan-cytokeratin (panCK) (HR = 2.44; p = 0.032), and monocyte-to-lymphocyte ratio (MLR) (HR = 1.73; p = 0.027) with survival. To minimize overfitting, two multivariate models were constructed. The first confirmed LVI (HR = 7.32; p < 0.001) and panCK (HR = 4.30; p = 0.006) as independent prognostic markers. The second identified MLR (HR = 1.65; p = 0.033) and panCK (HR = 2.42; p = 0.034) as independent adverse factors. Conclusions: Our findings suggest a paradigm shift in prognostic assessment for locally advanced gastric cancer: therapeutic success appears to depend more on underlying tumor biology and the immune microenvironment than on any specific neoadjuvant regimen. High MLR and LVI serve as strong surrogate markers of a biologically aggressive, chemotherapy-resistant phenotype. Consequently, future clinical strategies should move beyond a “one-size-fits-all” chemotherapy approach and prioritize these biomarkers for risk stratification and personalization of multimodal therapy.

## Linked entities

- **Diseases:** gastric cancer (MONDO:0001056), gastroesophageal junction adenocarcinoma (MONDO:0003219)

## Full-text entities

- **Genes:** Mucin [NCBI Gene 100508689], VEGFA (vascular endothelial growth factor A) [NCBI Gene 7422] {aka L-VEGF, MVCD1, VEGF, VPF}, ERBB2 (erb-b2 receptor tyrosine kinase 2) [NCBI Gene 2064] {aka CD340, HER-2, HER-2/neu, HER2, MLN 19, MLN-19}, MUC1 (mucin 1, cell surface associated) [NCBI Gene 4582] {aka ADMCKD, ADMCKD1, ADTKD2, CA 15-3, CD227, Ca15-3}, CD4 (CD4 molecule) [NCBI Gene 920] {aka CD4mut, IMD79, Leu-3, OKT4D, T4}, CD274 (CD274 molecule) [NCBI Gene 29126] {aka ADMIO5, B7-H, B7H1, PD-L1, PDCD1L1, PDCD1LG1}, COX2 (cytochrome c oxidase subunit II) [NCBI Gene 4513] {aka COII, MTCO2}, CD8A (CD8 subunit alpha) [NCBI Gene 925] {aka CD8, CD8alpha, IMD116, Leu2, p32}, ALB (albumin) [NCBI Gene 213] {aka FDAHT, HSA, PRO0883, PRO0903, PRO1341}, IL6 (interleukin 6) [NCBI Gene 3569] {aka BSF-2, BSF2, CDF, HGF, HSF, IFN-beta-2}, PTGS2 (prostaglandin-endoperoxide synthase 2) [NCBI Gene 5743] {aka COX-2, COX2, GRIPGHS, PGG/HS, PGHS-2, PHS-2}, CEACAM3 (CEA cell adhesion molecule 3) [NCBI Gene 1084] {aka CD66D, CEA, CGM1, CGM1a, W264, W282}, MUC2 (mucin 2, oligomeric mucus/gel-forming) [NCBI Gene 4583] {aka MLP, MUC-2, SMUC}, TRG-TCC1-1 (tRNA-Gly (anticodon TCC) 1-1) [NCBI Gene 7197] {aka TRG3, TRNAG3}
- **Diseases:** SRC (MESH:D018279), LVI (MESH:D009361), Neuropathy (MESH:D009422), Gastric and Gastroesophageal Junction Cancer (MESH:D013274), Lymph node (MESH:D000072717), diarrhea (MESH:D003967), pCR (MESH:D005598), adenocarcinoma (MESH:D000230), Cancer (MESH:D009369), Stable disease (MESH:D060050), lymphopenia (MESH:D008231), SD (MESH:D012735), mucinous (MESH:D002288), systemic failure (MESH:D051437), toxicities (MESH:D064420), nodal (MESH:D013611), metastasis (MESH:D009362), sarcopenia (MESH:D055948), Inflammatory (MESH:D007249), Anemia (MESH:D000740), injury to (MESH:D014947), OS (MESH:D011475), PD (MESH:D010300), death (MESH:D003643), Neutropenia (MESH:D009503)
- **Chemicals:** eosin (MESH:D004801), oxaliplatin (MESH:D000077150), Docetaxel (MESH:D000077143), 5-Fluorouracil (MESH:D005472), CAPEOX (MESH:C519688), leucovorin (MESH:D002955), capecitabine (MESH:D000069287), ECF (MESH:C080222), FDG (MESH:D019788), FOLFOX (MESH:C410216), Epirubicin (MESH:D015251), 5-fluorouracil, leucovorin, and oxaliplatin (-), Cisplatin (MESH:D002945), DCF (MESH:D015649), hematoxylin (MESH:D006416)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Figures

2 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12941500/full.md

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Source: https://tomesphere.com/paper/PMC12941500