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ORIGINAL RESEARCH article

Front. Nutr., 08 January 2026

Sec. Clinical Nutrition

Volume 12 - 2025 | https://doi.org/10.3389/fnut.2025.1708810

Simple biomarkers based on CRP and albumin predict clinical outcomes in adult patients with T-cell acute lymphoblastic leukaemia

Aiwen LiAiwen Li1Jun WenJun Wen1Xianfang ShaoXianfang Shao2Qiuju Liu
Qiuju Liu1*
  • 1Department of Haematology, Cancer Center, The First Hospital of Jilin University, Changchun, China
  • 2Department of Intensive Care Medicine, Zibo Central Hospital, Zibo, China

Introduction: Inflammation and malnutrition adversely impact outcomes in patients with various malignancies. Composite indices such as the C-reactive protein/albumin ratio (CAR), the CRP × fibrinogen/albumin ratio (CFA), and the modified Glasgow Prognostic Score (mGPS) integrate these parameters, although their prognostic role in T-cell acute lymphoblastic leukaemia (T-ALL) remains underexplored.

Methods: In this single-centre retrospective study, 74 adults with T-ALL were included. CAR, CFA, and mGPS were calculated at diagnosis. Receiver operating characteristic curve analysis revealed the optimal cut-off values for the CAR (0.387) and CFA (0.396). Patients were stratified into low- and high-risk groups. Endpoints included rates of complete remission/complete remission with incomplete haematologic recovery (CR/CRi) at end-of-induction (EOI), minimal residual disease (MRD), overall survival (OS), and progression-free survival (PFS).

Results: Patients with low CAR, low CFA, or mGPS0 achieved significantly higher rates of CR/CRi (all p < 0.05) and MRD < 0.1% (all p < 0.05) at EOI. These low-risk groups also exhibited significantly fewer chemotherapy cycles to achieve the first CR/CRi (all p < 0.001) and shorter time to achieve MRD negativity (all p < 0.001). Survival analysis revealed significantly longer OS and PFS in the low-risk group (all p < 0.05). Multivariate analysis revealed high CAR (p = 0.004) and MRD positivity ≥0.1% at EOI (p = 0.043) as independent predictors of poor OS. Subgroup analysis indicated that allogeneic hematopoietic stem cell transplantation significantly improved survival only in high-risk patients.

Conclusion: Pretreatment CAR, CFA, and mGPS are robust, accessible prognostic biomarkers in adults with T-ALL. Their integration into initial risk assessment could help guide personalized treatment strategies, including the identification of high-risk patients who may derive greater benefit from aggressive interventions.

1 Introduction

T-cell acute lymphoblastic leukaemia (T-ALL) is an aggressive haematologic malignancy derived from early T-cell progenitors. Surveillance, Epidemiology, and End Results (SEER) Program registry data show an overall incidence of T-ALL of approximately 1.6 per 100,000 population (13). While 80% of ALL occurs in children, it is a rare but devastating disorder in adults, with an unfavorable 5-year overall survival rate of 41% (4, 5). Because of this rarity, it is difficult to conduct large-scale clinical studies. Consequently, the prognostic stratification of adult patients with T-ALL remains a hot topic, and progress in its treatment is limited. Current risk stratification in T-ALL relies primarily on clinical metrics such age, immunophenotype, central nervous system leukaemia (CNSL), and minimal residual disease (MRD), and genomic landscape is a trend with a poor accessibility (6, 7). However, these factors cannot independently predict outcomes beyond response to therapy in multivariate risk models, highlighting the need for additional biomarkers to refine risk assessment and guide treatment strategies.

The inflammatory response and nutritional status are key drivers of malignancy progression (8, 9). Inflammatory-nutritional markers including the modified Glasgow Prognostic Score (mGPS), the CRP × fibrinogen/albumin ratio (CFA) and the C-reactive protein-albumin ratio (CAR) are closely associated with prognosis in patients with various solid tumors and some hematological malignancies (1015). Nevertheless, their predictive significance in T-ALL remains unexplored.

Therefore, this study aimed to evaluate the prognostic utility of the CAR, CFA, and mGPS in relation to induction response, MRD dynamics, and survival in a well-characterized cohort of adult T-ALL patients. To our knowledge, this represents the first comprehensive analysis of these composite biomarkers specifically in T-ALL.

2 Methods

2.1 Patients

This single-centre retrospective cohort study included patients aged ≥14 years who were diagnosed with T-ALL and who underwent treatment at our centre between January 2013 and June 2024. Among 108 initially identified T-ALL patients, 34 were excluded on the basis of the following criteria: diagnosis at external institutions (7 patients), absence of systemic treatment (9 patients), or lack of baseline serum albumin and/or C-reactive protein (CRP) measurements prior to induction chemotherapy (18 patients). Consequently, 74 patients were included in the final study cohort. This study was conducted in compliance with ethical principles based on the Declaration of Helsinki and was approved by the Institutional Review Board of the first hospital of Jilin University (No. 2024-1324). Written consent was obtained from each patient for participation in the study.

2.2 Treatment

All patients underwent induction chemotherapy consisting of vincristine or vindesine, anthracyclines, and glucocorticoids. Patients who achieved complete remission (CR) underwent consolidation therapy with either hematopoietic stem cell transplantation (HSCT) or chemotherapy followed by sequential maintenance therapy on the basis of clinical situation. Patients who did not achieve CR received reinduction chemotherapy. The minimum follow-up period was 12 months or until death for all participants.

2.3 Definitions

Treatment response was assessed according to the European LeukemiaNet (ELN) working group criteria (16). Complete remission (CR) was defined as less than 5% bone marrow blasts, no extramedullary disease, an absolute neutrophil count >1.0 × 109/L, a platelet count >100 × 109/L, and a lack of red cell transfusions. CR with incomplete haematologic recovery (CRi) was defined as meeting all of the CR criteria except for residual neutropenia <1.0 × 109/L or thrombocytopenia <100 × 109/L. Progressive disease (PD) is defined as the emergence of blasts in peripheral blood, a > 25% increase in absolute blast count (in peripheral blood or bone marrow), or the development of new extramedullary disease. Minimal residual disease (MRD) negativity was defined as MRD undetectable by flow cytometry at a sensitivity level of 0.01%.

In addition to gender and age, we collected information on each patient at diagnosis of ALL; blood sample tests before treatment (CRP (mg/L), albumin (g/L), fibrinogen (g/L)), the presence of fever over 38 °C, the usage of anti-infective therapy. The C-reactive protein–albumin ratio (CAR) was calculated as the serum CRP concentration (mg/L) divided by the serum albumin concentration (g/L) (13). The CFA was calculated as serum CRP (mg/L) multiplied by fibrinogen (g/L), divided by serum albumin (g/L) (11). The modified Glasgow Prognostic Score (mGPS) was calculated by assigning one point for elevated CRP (≥10 mg/L) and in patients with elevated CRP a second point for reduced albumin (<35 g/L) (12). Overall survival (OS) was defined as the time from treatment initiation to death from any cause or last follow-up contact. Progression-free survival (PFS) was defined as the time from treatment initiation to documented PD or death from any cause.

2.4 Statistical analysis

Descriptive statistics were used to summarize baseline patient and disease characteristics. To determine the optimal prognostic thresholds, receiver operating characteristic (ROC) curve analysis was employed to determine the ability of the CAR and the CFA ratio to predict one-year mortality in T-ALL patients. Survival outcomes, including OS and PFS, were visualized using Kaplan–Meier survival curves. Univariate and multivariate Cox proportional hazards regression analyses were conducted to identify factors significantly associated with prognosis in T-ALL patients. A two-tailed test was used for all analyses, with a statistical significance level set at p < 0.05.

3 Results

3.1 Patient characteristics

The baseline characteristics and laboratory parameters of the 74 enrolled patients are presented in Table 1. The median CRP, median albumin, and median fibrinogen concentrations were 7.10 mg/L (range: 0.24–102 mg/L), 36.5 g/L (range: 25.0–45.5 g/L), and 2.58 g/L (range: 0.60–6.79 g/L), respectively. The CAR and CFA were subsequently calculated. To evaluate their prognostic utility for survival, receiver operating characteristic (ROC) curves were constructed, identifying optimal cut-off values of 0.396 for the CFA (AUC: 0.716; sensitivity: 80.8%; specificity: 60.4%) and 0.387 for the CAR (AUC: 0.738; sensitivity: 69.2%; specificity: 70.8%) (Figure 1). Patients were then stratified into groups on the basis of these cut-off values. Differences in clinical characteristics and treatment outcomes between the stratified groups were compared, as detailed in Table 1. The patient groups (high vs. low CAR, high vs. low CFA, and mGPS 0, 1, vs. 2) were well-balanced at baseline, with no statistically significant differences (p > 0.05) in terms of age, gender, BMI at diagnosis, immunophenotype, genetic mutations, pre-induction fever, antibiotic use, or receipt of hematopoietic stem cell transplantation (Table 1).

Table 1
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Table 1. Patient and disease characteristics.

Figure 1
ROC curve comparing two variables, CFA in red with an AUC of 0.716, and CAR in blue with an AUC of 0.738. Sensitivity is plotted on the y-axis, and 1 - Specificity is on the x-axis. The diagonal line represents random chance.

Figure 1. Analysis of ROC curves of CFA and CAR for predicting one-year mortality. The ROC analysis demonstrated that CFA achieved an AUC of 0.716 (optimal cut-off: 0.396; sensitivity: 80.8%; specificity: 60.4%), while CAR yielded a higher AUC of 0.738 (optimal cut-off: 0.387; sensitivity: 69.2%; specificity: 70.8%).

3.2 Early treatment response

3.2.1 CR/CRi

At the end of induction (EOI), 49 of 74 patients (66.2%) achieved CR/CRi. When stratified by risk groups, the low-CAR group had significantly higher CR/CRi rates than the high-CAR group (85.7% vs. 40.6%; p < 0.001), and the low-CFA group had higher CR/CRi rates than the high-CFA group (91.2% vs. 45.0%; p < 0.001). Compared with the mGPS1 and mGPS2 groups, the mGPS0 group had significantly higher CR/CRi rates (89.5% vs. 46.7% vs. 38.1%; p < 0.001) (Figure 2A). Similarly, analysis of cycles to first CR/CRi in T-ALL patients revealed that the low-CAR, low-CFA, and mGPS0 groups required significantly fewer chemotherapy cycles than their high-risk counterparts did (all p < 0.001) (Figures 3AC).

Figure 2
Bar graphs comparing the proportion of patients under different conditions. Panel A (CR/CRi) shows six categories: Total, Low-CAR, High-CAR, Low-CFA, High-CFA, mGPS0, mGPS1, and mGPS2, with significant differences noted by asterisks. Panel B (MRD < 0.01%) displays similar categories with corresponding patient proportions, also indicating significance with asterisks. Blue bars indicate higher proportions compared to pink bars.

Figure 2. Rates of CR/CRi (A) and of MRD < 0.1% (B) at end of induction.

Figure 3
Graphs A-F show outcomes of chemotherapy and induction chemotherapy (IC) initiation, comparing high and low CAR, CFA, and mGPS levels. Graphs A-C illustrate CR/CRi over chemotherapy cycles, while D-F display MRD below 0.01% over months since IC initiation. Different lines represent groups, with significant p-values under 0.0001. Each graph includes a risk table.

Figure 3. Time to CR/CRi and MRD negativity (<0.01%) by inflammatory indices. Kaplan–Meier curves showing the number of chemotherapy cycles required to achieve CR/CRi, stratified by the CAR (A), CFA (B), and mGPS (C) groups, respectively. Kaplan–Meier curves showing the time to MRD negativity (<0.01%), stratified by the CAR (D), CFA (E), and mGPS (F) groups, respectively.

3.2.2 MRD

At EOI, 30 of 74 patients (40.5%) achieved MRD < 0.1%. Stratification by risk group revealed significantly higher MRD < 0.1% rates in the low-CAR group than in the high-CAR group (57.1% vs. 18.8%; p < 0.001), in the low-CFA group than in the high-CFA group (58.8% vs. 25.0%; p = 0.004), and in the mGPS0 group than in both the mGPS1 and mGPS2 groups (60.5% vs. 26.7% vs. 14.3%; p < 0.001) (Figure 2B). Furthermore, the median time to first MRD negativity (<0.01%) was significantly shorter in the low-CAR group than in the high-CAR group (1.0 vs. 6.7 months; p < 0.001), in the low-CFA group than in the high-CFA group (0.9 vs. 6.4 months; p < 0.001), and in the mGPS0 group than in both the mGPS1 and mGPS2 groups (1.0 vs. 3.2 vs. 15.5 months; p < 0.001) (Figures 3DF).

3.3 Survival outcomes

Patients in the low-CAR group had significantly longer median OS (not reached vs. 10.5 months; p < 0.001) and median PFS (42 vs. 7.2 months; p < 0.010) than those in the high-CAR group (Figures 4A,D). Similarly, compared with patients in the high-CFA group, patients in the low-CFA group had significantly longer median OS (not reached vs. 11.35 months; p < 0.001) and median PFS (not reached vs. 7.45 months; p < 0.010) (Figures 4B,E). Furthermore, compared with patients with mGPS1 or mGPS2, patients with mGPS0 had significantly longer median OS (not reached vs. 10.8 vs. 11.9 months; p < 0.001) and median PFS (not reached vs. 5.7 vs. 7.3 months; p < 0.010), respectively (Figures 4C,F). Moreover, subgroup analysis revealed that in the low-risk group—comprising patients with low CAR, low CFA, and mGPS0—HSCT did not significantly improve OS or PFS (p > 0.05). In contrast, among the other high-risk subgroups, patients who underwent transplantation had significantly improved OS and PFS (p < 0.05) (Figures 5AL). According to the univariate Cox analysis, a CAR, a CFA, an mGPS, the absence of a CR/CRi at the EOI, and an MRD ≥ 0.1% at the EOI were associated with both OS and PFS in T-ALL patients (all p < 0.05). To identify independent prognostic factors, we performed multivariable Cox proportional hazards regression analysis including variables that were significant in the univariate analysis. Multivariate Cox analysis revealed a CAR (HR = 2.831, 95% CI: 1.404–5.709, p = 0.004) and an MRD ≥ 0.1% at EOI (HR = 2.518, 95% CI: 1.029–6.160, p = 0.043) as independent risk factors for OS in T-ALL patients (Figure 6).

Figure 4
Graphs A to C show overall survival (OS) for different patient groups, with Kaplan-Meier survival curves indicating statistical significance using log-rank tests. Graphs D to F display progression-free survival (PFS) for the same groups, also using Kaplan-Meier curves. Survival probability is on the y-axis, and follow-up months are on the x-axis, with shaded areas representing confidence intervals. Each graph includes a table for the number of patients at risk over time. Different lines represent high and low levels of CAR, CFA, and mGPS biomarkers, with corresponding color legends for each panel.

Figure 4. Kaplan–Meier Survival Analysis in 74 T-ALL Patients. The low-CAR group exhibited significantly longer median OS (not reached vs. 10.5 months; p < 0.001) (A) and PFS (42 vs. 7.2 months; p < 0.010) (D) than high-CAR group. The low-CFA group exhibited significantly longer median OS (not reached vs. 11.35 months; p < 0.001) (B) and PFS (not reached vs. 7.45 months; p < 0.010) (E) than high-CFA group. The mGPS0 group exhibited significantly longer median OS (not reached vs. 10.8 vs. 11.9 months; p < 0.001) (C) and PFS (not reached vs. 5.7 vs. 7.3 months; p < 0.010) (F) than mGPS1 and mGPS2.

Figure 5
Twelve Kaplan-Meier survival curves show overall survival (OS) and progression-free survival (PFS) for transplanted versus non-transplanted groups across various conditions. Panels A-F depict OS, with statistically significant differences in D, E, and F. Panels G-L show PFS, with significance in J, K, and L. Transplanted groups (red) generally show better outcomes compared to non-transplanted groups (blue). Each graph includes risk numbers, follow-up durations, and p-values.

Figure 5. Subgroup analysis of OS and PFS in T-ALL patients. Low-CAR: HSCT did not confer a significant benefit in (A) OS (p > 0.05) or (G) PFS (p > 0.05). High-CAR: HSCT was associated with significantly improved (D) OS (p < 0.001) and (J) PFS (p < 0.01). Low-CFA: HSCT did not confer a significant benefit in (B) OS (p > 0.05) or (H) PFS (p > 0.05). High-CFA: HSCT was associated with significantly improved (E) OS (p < 0.01) and (K) PFS (p < 0.05). mGPS0: HSCT did not confer a significant benefit in (C) OS (p > 0.05) or (I) PFS (p > 0.05). mGPS1/2: HSCT was associated with significantly improved (F) OS (p < 0.01) and (L) PFS (p < 0.05).

Figure 6
Tables display results from univariate and multivariate analyses of unfavorable factors for OS and PFS. Factors include gender, age, ETP-ALL, WBC, CAR, CFA, mGPS1/2, CR/CRi absence, and MRD at EOI. Hazard ratios with confidence intervals and p-values are provided for each factor. Charts next to the data show visual interpretations of hazard ratios for better comparison.

Figure 6. Multivariable Cox regression analysis of OS and PFS. OS, overall survival; PFS, progression-free survival; HR, hazard ratio; CAR, C-reactive protein to albumin ratio; CFA, CRP×fibrinogen/albumin ratio; mGPS, modified glasgow prognostic score; CR, complete remission; CRi, CR with incomplete hematologic recovery; ETP, early thymic precursor; MRD, minimal residual disease; EOI, end-of-induction.

4 Discussion

This single-centre retrospective study demonstrated that CAR, CFA, and mGPS are strongly associated with treatment response and survival outcomes in adults with T-ALL. To our knowledge, this is the first study to comprehensively evaluate the prognostic utility of these composite inflammatory-nutritional indices specifically in an adult T-ALL cohort.

Chronic, dysregulated, and persistent inflammation is a well-established driver of tumor initiation, progression, and metastasis (17). Supporting this, Gower et al. recently identified a novel inflammatory T-lineage ALL subgroup and developed a prognostic gene signature, directly linking high inflammatory status to adverse outcomes in T-ALL patients (18). Concurrently, malnutrition—defined as a state of inadequate nutrient intake or uptake that leads to altered body composition (e.g., reduced fat-free mass), diminished function, and worse clinical outcomes—also impacts prognosis (19). For instance, Rios-Olais et al. demonstrated that low muscle mass at diagnosis is associated with higher mortality in ALL, underscoring a correlation between nutritional status and survival (20). In hospitalized patients, malnutrition often stems not merely from inadequate intake but from disease-related pathophysiological mechanisms. Crucially, systemic inflammation and nutritional decline can form a self-perpetuating vicious cycle (21). Reflecting this complex interplay, ESPEN has classified malnutrition into three categories: disease-related malnutrition with inflammation, disease-related malnutrition without inflammation, and malnutrition without disease (19). Therefore, in this study, the inflammatory-nutritional indices CAR, CFA, and mGPS were selected to better capture the outcome of this interaction in T-ALL patients, rather than measuring inflammation or nutrition in isolation.

Our findings indicate that patients with a lower CAR, a lower CFA, or an mGPS of 0 at diagnosis were significantly more likely to achieve CR/CRi and MRD < 0.1% at EOI. These results suggest that a favorable inflammatory-nutritional profile at baseline may be associated with enhanced efficiency in disease eradication and bone marrow recovery. Notably, the prognostic impact of these indices extended to long-term survival outcomes. Patients in the high-risk groups (e.g., high-CAR, high-CFA or mGPS1-2) experienced significantly inferior OS and PFS. Multivariate analysis revealed both high CAR and MRD ≥ 0.1% at EOI as independent predictors of poor OS, underscoring the compounded adverse effects of inflammatory-nutritional profile and persistent residual disease on prognosis in T-ALL.

In line with our findings, the prognostic significance of inflammatory-nutritional indices is evident in diverse cancers. As summarized in Table 2, elevated CAR has been linked to poorer survival in lymphoma (2224) and acute myeloid leukemia (AML) (13, 25). Similarly, the mGPS has been validated as a robust prognostic indicator in a range of solid tumors (2642) and hematologic malignancies, including AML (43). Furthermore, a high CFA ratio has also been associated with inferior overall survival in AML (11, 43). The concordance of our results with these earlier studies collectively underscores the critical interplay between inflammatory-nutritional profile and survival across oncologic contexts.

Table 2
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Table 2. Summary of previous studies on CAR, CFA, and mGPS in solid and hematologic malignancies.

A particularly insightful observation from our subgroup analysis relates to the role of HSCT. Although transplantation did not confer a significant survival benefit in the low-risk group, it markedly improved outcomes among high-risk patients. These findings suggest that the adverse prognosis associated with unfavorable inflammatory-nutritional profile may be partially mitigated by the potent graft-versus-leukaemia effect and myeloablative conditioning regimen inherent in HSCT. Therefore, early identification of high-risk patients using these readily accessible biomarkers could facilitate improved risk stratification and help select those most likely to benefit from intensive treatment strategies, including HSCT.

The biological plausibility of our findings is supported by the established literature. Albumin, which is primarily synthesized in the liver, not only serves as a marker of nutritional status but also has antiapoptotic signaling properties and participates in the transport and metabolism of chemotherapeutic agents in leukaemia (44). Xiao et al. reported that serum albumin levels were significantly associated with 60-day mortality in patients with de novo acute myeloid leukaemia (AML), with mortality risk increasing as albumin levels decreased (45). Additional studies have further corroborated that low serum albumin predicts higher cancer-related mortality (46). CRP is an acute-phase reactant protein synthesized by the liver in response to inflammatory cytokines such as IL-6. A large-scale prospective cohort study revealed that elevated baseline CRP levels were associated with an increased risk of subsequent cancer development (47). Elevated CRP levels serve as a direct marker of activation of the IL-6 signaling pathway, which has been implicated in promoting tumor cell survival, proliferation, and chemotherapy resistance (48). Luo et al. reported significantly elevated IL-6 activity in patients with ALL compared with that in healthy controls, and in vitro studies demonstrated that IL-6 promotes leukaemic cell proliferation (49). In addition to CRP, IL-6 also regulates fibrinogen production. Elevated plasma fibrinogen levels are significantly associated with increased mortality in patients with AML (50). Thus, the inflammatory-nutritional predictive indicators CAR, CFA, and mGPS which are composed of these common clinical biomarkers such as CRP, albumin, and fibrinogen represent low-cost and hold substantial value for prognostic assessment and treatment guidance in T-ALL patients.

Several limitations of our study should be acknowledged. First, its retrospective and single-centre design introduces potential selection bias and limits generalizability. Second, the sample size, although sufficient for initial observations, is modest, particularly for subgroup analyses. Third, we were unable to account for dynamic changes in CRP, CFA and mGPS during treatment, which might offer additional prognostic insights. Future prospective, multicentre studies with larger cohorts are needed to validate our findings and to explore whether targeted interventions to reduce inflammation or improve nutritional status can ameliorate the poor outcomes observed in high-risk patients.

5 Conclusion

The pretreatment CAR, CFA, and mGPS are simple, cost-effective, and robust prognostic tools for adults with T-ALL. They stratify patients into distinct risk groups with differential responses to induction chemotherapy and long-term survival outcomes. Integration of these indices into initial risk assessment may enhance prognostic accuracy and guide personalized treatment strategies, particularly in identifying candidates most likely to benefit from early and intensive interventions such as HSCT.

Data availability statement

The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.

Ethics statement

The studies involving humans were approved by the First Hospital of Jilin University (No. 2024-1324). The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.

Author contributions

AL: Project administration, Formal analysis, Methodology, Data curation, Writing – original draft. JW: Project administration, Data curation, Writing – original draft, Methodology, Formal analysis. XS: Data curation, Project administration, Methodology, Writing – review & editing. QL: Funding acquisition, Supervision, Conceptualization, Writing – review & editing, Investigation, Visualization.

Funding

The author(s) declared that financial support was received for this work and/or its publication. This research was funded by the Science and Technology Department of Jilin Province (YDZJ202401413ZYTS to QL).

Acknowledgments

The authors thank all subjects for their participation.

Conflict of interest

The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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The author(s) declared that Generative AI was not used in the creation of this manuscript.

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Keywords: acute lymphocytic leukaemia, albumin, C-reactive protein, fibrinogen, prognosis

Citation: Li A, Wen J, Shao X and Liu Q (2026) Simple biomarkers based on CRP and albumin predict clinical outcomes in adult patients with T-cell acute lymphoblastic leukaemia. Front. Nutr. 12:1708810. doi: 10.3389/fnut.2025.1708810

Received: 22 September 2025; Revised: 02 December 2025; Accepted: 08 December 2025;
Published: 08 January 2026.

Edited by:

Denisse Castro-Eguiluz, National Council of Science and Technology (CONACYT), Mexico

Reviewed by:

Maria Benkhadra, National Center for Cancer Care and Research, Qatar
Amaylia Oehadian, Dr. Hasan Sadikin General Hospital, Indonesia

Copyright © 2026 Li, Wen, Shao and Liu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Qiuju Liu, cWpsaXVAamx1LmVkdS5jbg==

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.