Home Perform tumor-specific survival analysis for Merkel cell carcinoma patients undergoing surgical resection based on the SEER database by constructing a nomogram chart
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Perform tumor-specific survival analysis for Merkel cell carcinoma patients undergoing surgical resection based on the SEER database by constructing a nomogram chart

  • Jingxuan Zhou , Hai Yu , Xichun Xia , Yanan Chen , Wai-kit Ming , Yuzhen Jiang , Yau Sun Lak , Chongchong Ip , Chaodi Huang , Qiqi Zhao , Suzheng Zheng , Liming Xia , Xinkai Zheng , Shi Wu EMAIL logo , Jun Lyu EMAIL logo and Liehua Deng EMAIL logo
Published/Copyright: March 21, 2025

Abstract

Objective

To explore the postoperative risk factors of Merkel cell carcinoma patients who have undergone surgical resection, and to construct a survival prognosis column chart.

Method

Patients diagnosed with Merkel cell carcinoma and underwent surgical resection from 2000 to 2019 were selected from the surveillance, epidemiology, and end results database. COX regression analysis was used to screen for independent prognostic factors, and a column chart was constructed. The predictive performance of the column chart was evaluated using consistency index, receiver operating characteristic curve, and calibration curve.

Results

The results of multi-factor COX regression showed that T stage and N stage were independent prognostic factors affecting cancer-specific survival (CSS) in patients after Merkel cell carcinoma resection. Construct a column chart based on the above two factors. The C-index of the column chart in the modeling group is 0.732 [95% CI (0.649, 0.814)], and the area under the curve (AUC) for the first and second years are 0.816 [95% CI (0.728, 0.904)] and 0.693 [95% CI (0.593, 0.792)], respectively. The C-index in the validation group was 0.724 [95% CI (0.569, 0.879)], and the AUC in the first and second years were 0.739 [95% CI (0.644, 0.833)] and 0.658 [95% CI (0.556, 0.759)], respectively.

Conclusion

The predictive model constructed based on two factors, T stage and N stage, has good prognostic diagnostic accuracy and is helpful for clinical decision-making and personalized treatment.

1 Introduction

Merkel cell carcinoma represents a rare yet aggressive form of skin cancer arising from Merkel cells within the skin [1]. Characterized by painless, swiftly expanding patches or nodules, this malignancy frequently manifests on exposed regions like the head, neck, and hands [2]. Diagnosis of Merkel cell carcinoma typically involves live tissue analysis, encompassing biopsy and histopathological examination. Globally, the incidence of Merkel cell carcinoma is relatively low, predominantly affecting elderly individuals, notably Caucasians aged over 50 years, with the risk escalating with advancing age [3,4].

Merkel cell carcinoma, a rare yet aggressive skin neuroendocrine tumor, has garnered significant interest concerning its treatment and prognosis [3]. Postoperative prognosis prediction plays a crucial role in clinical decision-making; however, the research on postoperative risk factors and prognosis prediction for Merkel cell carcinoma patients still lacks depth and comprehensiveness. Previous studies have investigated various postoperative risk factors and prognosis prediction elements, including tumor size, lymph node involvement, and patient age [46]. However, these studies often present limitations such as small sample sizes, incomplete study designs, and inadequate data sources. Furthermore, the current literature fails to provide personalized prognosis prediction models for Merkel cell carcinoma patients, impeding the accurate assessment of patient risk and the development of tailored treatment plans by healthcare providers. The objective is to construct a tumor-specific survival analysis-based prognosis prediction model and translate it into an intuitive and practical nomogram chart. By conducting an in-depth analysis of the impact of different postoperative risk factors on patient prognosis, the study aims to enhance the accuracy of assessing patients’ survival risks and offers a more robust foundation for clinical decision-making.

Given the rarity and aggressive nature of Merkel cell carcinoma, treatment plans must comprehensively assess various factors, including patient age, health status, tumor characteristics, and treatment modalities such as surgery, radiotherapy, chemotherapy, and targeted therapy [5,6]. Surgical resection plays a vital role in extending patient survival, although long-term prognosis remains suboptimal [7]. Similar to other types of cancer, accurate individual prognosis prediction is essential for postoperative Merkel cell carcinoma patients. Hence, it is imperative to establish tailored prognostic models for evaluating the postoperative outcomes of Merkel cell carcinoma patients.

The nomogram serves as a dependable and convenient statistical model capable of conducting a comprehensive analysis of all risk factors, extensively applied in forecasting survival outcomes for cancer patients [8,9]. While studies exist on Merkel cell carcinoma postoperative risk prediction line graphs, limitations arise from small sample sizes, resulting in less accurate predictions across various demographic groups. This research project focused on constructing a unique nomogram graph utilizing data from the surveillance, epidemiology, and end results (SEER) database to project cancer-specific survival (CSS) in Merkel cell carcinoma patients’ post-resection, offering clinicians a quantitative instrument for evaluating patient prognoses.

2 Materials and methods

2.1 Participants

To investigate patients with Merkel cell carcinoma who underwent surgical resection between 2000 and 2019, data extraction was conducted using SEER*Stat software (version 8.4.3) from the SEER database. Inclusion criteria encompassed age range of 18–80 years, pathologically confirmed Merkel cell carcinoma, absence of distant metastasis or prior malignant tumor history, and treatment via surgical resection. Exclusion criteria excluded cases with incomplete clinical data or those that resulted in death within 1 month post-surgery. This research adheres to the Helsinki Declaration guidelines, and due to the public accessibility of the SEER database as a clinical data source, ethical review was deemed unnecessary [10].

2.2 Inclusive variables and outcome indicators

The variables included in the study comprise age, gender, race, marital status, radiation, M-stage, T-stage, N-stage, and survival data. The primary outcome of interest is CSS, which denotes the period from the initial diagnosis of Merkel cell carcinoma to either disease-related mortality or the most recent follow-up. To streamline the model-building process, continuous variables are transformed into categorical ones.

2.3 Building and validating models

The study population was randomly allocated into a modeling group and a validation group in a 7:3 ratio. The modeling group underwent single-factor COX regression to compute the hazard ratio (HR) along with its 95% confidence interval (CI). Variables with P < 0.1 were considered for inclusion in the multiple-factor COX regression analysis to identify the ultimate independent risk factors. Subsequently, a nomogram was developed to forecast the CSS of patients at 1 and 2 years using the outcomes of the multiple-factor COX regression analysis. The predictive accuracy of the nomogram was assessed through various metrics, such as the concordance index (C-index), receiver operating characteristic (ROC) curve, and calibration curve. Lastly, risk scores for all patients were determined based on the nomogram.

2.4 Statistical analysis

Continuous variables are summarized by the median and interquartile range, while categorical variables are expressed as frequencies and percentages. The comparison of categorical variables between two patient groups was conducted using the chi-square test or Fisher’s exact test for baseline characteristics. Continuous variables were assessed using the Mann–Whitney U-test. Statistical analyses were carried out using R language (version 4.3.2), utilizing key packages such as “readr,” “survival,” “foreign,” “rms,” and “survivalROC.” A two-sided P-value below 0.05 was deemed statistically significant in all tests.

3 Results

3.1 General clinical data

This study included a total of 211 patient data, including 151 in the modeling group and 60 in the validation group. The general clinical data of the included patients are shown in Table 1.

Table 1

General clinical data of participants (n [%])

Variables Modeling group (n = 151) Validation group (n = 60) Chi square value P
n % n %
Age (years)
50–64.9 31 20.5 10 16.7 2.039 0.361
65–79.9 84 55.7 30 50.0
80– 36 23.8 20 33.3
Sex
Female 58 38.4 15 25.0 2.846 0.092
Male 93 61.6 45 75.0
Race
White 146 96.7 59 98.3 0.358 0.849
Black and other 5 3.3 1 1.7
Marital
Unmarried 52 34.4 21 35.0 0.006 0.938
Married 99 65.6 39 65.0
Radiation
No 50 33.1 22 36.7 0.109 0.741
Yes 101 66.9 38 63.3
M stage
M0 145 96.0 59 98.3 0.175 0.676
M1 6 4.0 1 1.7
N stage
N0 81 53.6 31 51.7 5.398 0.145
N1 67 44.4 24 40.0
N2 and N3 2 1.3 2 3.3
NX 1 0.7 3 5.0
T stage
T1 82 54.3 29 48.3 0.533 0.137
T2 31 20.5 7 11.7
T3 and T4 8 5.3 6 10.0
TX 30 19.9 18 30.0
Survival time (months)
1–18 70 46.4 23 38.3 0.819 0.365
19– 81 53.6 37 61.7
Status
Alive 126 83.4 47 78.3 0.453 0.501
Dead 25 16.6 13 21.7

3.2 Prognostic factor analysis

Univariate Cox regression analysis results indicated that prognostic factors for Merkel cell carcinoma patients post-surgery encompass age, M-stage, T-stage, and N-stage (P < 0.05), as presented in Table 2. Multivariable Cox regression analysis employing the Enter method identified T-stage and N-stage as autonomous prognostic contributors to patient survival.

Table 2

Results of COX regression analysis for single and multiple factors in the modeling group

Variables Univariate analysis Multivariate analysis
HR (95%CI) P HR (95%CI) P
Age (years)
50–64.9 Ref. Ref.
65–79.9 1.46 (0.41,5.18) 0.558 1.45 (0.39,5.40) 0.575
80– 3.33 (0.91,12.10) 0.068 3.25 (0.87,12.18) 0.08
Sex
Female Ref.
Male 1.49 (0.64,3.46) 0.355
Race
White Ref.
Black and others 2.89 (0.68,12.32) 0.151
Marital
Unmarried Ref.
Married 0.94 (0.42,2.13) 0.881
Radiation
No Ref.
Yes 0.91 (0.40,2.06) 0.818
M stage
M0 Ref. Ref.
M1 4.19 (1.25,14.02) 0.020 1.39 (0.31,6.31) 0.666
N stage
N0 Ref. Ref.
N1 and others 3.35 (1.40,8.04) 0.007 3.84 (1.46,10.11) 0.006
T stage
T1 Ref. Ref.
T2 1.04 (0.33,3.26) 0.949 0.59 (0.18,1.92) 0.379
T3 and T4 4.00 (1.27,12.58) 0.018 4.23 (1.04,17.15) 0.043
TX 1.86 (0.68,5.05) 0.224 0.98 (0.34,2.83) 0.971

3.3 Establishment and verification of survival nomogram

The results of the multivariable Cox regression analysis led to the development of a survival nomogram (Figure 1). In the modeling group, the nomogram estimated the CSS with a C-index of 0.732 [95% CI (0.649, 0.814)], while in the validation group, the C-index was 0.724 [95% CI (0.569, 0.879)], indicating high prognostic accuracy of the model. The ROC curve illustrated that the predicted area under the curve for CSS in the first and second years were 0.816 [95% CI (0.728, 0.904)] and 0.693 [95% CI (0.593, 0.792)] in the modeling group, and 0.739[95% CI (0.644, 0.833)] and 0.658 [95% CI (0.556, 0.759)] in the validation group (Figure 2). Calibration curves for both modeling and validation groups closely resembled the diagonal line for the first and second years, demonstrating strong alignment between the model’s predictions and actual data. Overall, this model exhibits effective performance in forecasting the prognosis of patients following Merkel cell carcinoma surgery (Figure 3).

Figure 1 
                  Prediction of survival nomogram in Merkel cell carcinoma patients after surgical resection.
Figure 1

Prediction of survival nomogram in Merkel cell carcinoma patients after surgical resection.

Figure 2 
                  ROC curves of modeling and validation groups: (a) modeling group and (b) validation group.
Figure 2

ROC curves of modeling and validation groups: (a) modeling group and (b) validation group.

Figure 3 
                  Calibration curves of modeling and validation groups: (a) calibration curve of the modeling group for 1 year, (b) calibration curve of the modeling group for 2 years, (c) calibration curve of the validation group for 1 year, and (d) calibration curve of the validation group for 2 years.
Figure 3

Calibration curves of modeling and validation groups: (a) calibration curve of the modeling group for 1 year, (b) calibration curve of the modeling group for 2 years, (c) calibration curve of the validation group for 1 year, and (d) calibration curve of the validation group for 2 years.

3.4 Construct survival curve based on nomogram

According to the median of patient risk scores, they were divided into low-risk and high-risk groups (high-risk group were higher than median of patient risk scores, and low-risk group were lower than median of patient risk scores), and the CSS between the two risk groups was compared using Kaplan–Meier analysis and log-rank testing. As shown in Figure 4, the difference in CSS between the two risk subgroups was statistically significant (P < 0.001).

Figure 4 
                  Survival curves of Merkel cell carcinoma patients with different risk groups after surgical resection.
Figure 4

Survival curves of Merkel cell carcinoma patients with different risk groups after surgical resection.

4 Discussion

Merkel cell carcinoma is recognized as a highly aggressive tumor with a poor prognosis. Despite its rarity among skin cancers, Merkel cell carcinoma’s aggressive behavior and rapid growth make it prone to infiltrating surrounding tissues and other regions, resulting in delayed detection and unfavorable outcomes [11,12]. Research indicates a 5-year survival rate for Merkel cell carcinoma ranging from 30 to 77% [13,14]. Given its highly invasive nature and propensity for metastasis, timely treatment and meticulous follow-up are essential for patient survival [15]. Treatment strategies typically encompass a multidisciplinary approach involving surgical resection, radiation therapy, chemotherapy, and targeted therapies to effectively manage tumor progression and minimize the risk of recurrence and metastasis [16]. Therefore, early detection, prompt intervention, and continuous monitoring play a pivotal role in enhancing the survival and prognosis of Merkel cell carcinoma patients. Patients and healthcare professionals should vigilantly track disease progression and implement appropriate therapeutic and management strategies to enhance patient outcomes and quality of life [17]. This study utilized data from the SEER database to construct a nomogram for predicting CSS following Merkel cell carcinoma resection, conducting internal validation, and thoroughly assessing the nomogram’s predictive accuracy and efficacy.

The N stage refers to the evaluation of lymph node metastasis in patients with Merkel cell carcinoma [18]. The findings of this research indicated that staging at N1 or higher serve as an independent prognostic factor for patients undergoing surgical resection of Merkel cell carcinoma. Lymph node metastasis is primarily disseminated through the lymphatic system in Merkel cell carcinoma, and its presence often signifies tumor progression and deterioration, predisposing patients with lymph node involvement to increased risks of recurrence and mortality [19]. Assessing the N stage is crucial in determining the necessity for additional interventions like lymph node dissection or radiation therapy. The detection of lymph node metastasis may require modifications to a patient’s treatment plan to optimize treatment efficacy and prognosis [20]. By utilizing the N stage assessment, healthcare providers can conduct more precise prognostic evaluations and propose tailored treatment strategies. Prognostic determinations facilitate the collaborative formulation of post-treatment strategies and the vigilant monitoring of patient follow-up and management. Through a comprehensive evaluation of N stage results, physicians can enhance treatment planning and implement more efficient treatment and management approaches to advance patient survival rates and enhance quality of life.

The T stage involves the categorization of tumors based on clinical and pathological data to aid healthcare professionals in assessing the severity and prognosis of the tumor. Utilizing the T stage post-surgical resection can enhance physicians’ ability to predict the patient’s prognosis, particularly in cases of Merkel cell carcinoma [21]. This research identified T3 and T4 stages as autonomous prognostic indicators for individuals receiving surgical treatment for Merkel cell carcinoma. Assessment of the T stage is predominantly dependent on the tumor’s size and level of invasiveness, typically categorized into four stages ranging from T1 to T4, where a higher T value signifies a larger or more aggressive tumor. Specifically for Merkel cell carcinoma patients, the T stage serves as a direct indicator of tumor growth and dissemination, thus aiding in prognosis prediction [22]. Generally, an elevated T stage indicates a larger and more aggressive tumor, potentially leading to a less favorable prognosis for the patient. Therefore, the T stage plays a crucial role as an independent prognostic marker in forecasting outcomes for patients undergoing surgical resection for Merkel cell carcinoma.

This study presents the findings of a tumor-specific survival analysis conducted on patients with Merkel cell carcinoma using data from the SEER database, offering valuable insights for clinical practice. The results indicate a close association between certain postoperative risk factors, such as tumor size and lymph node involvement, and patients’ survival risk. These results underscore the importance of enhanced monitoring and personalized treatment plans for postoperative patients to improve survival rates and mitigate the risk of recurrence. In contrast to previous research studies, this study boasts a larger sample size and enhanced research methodology, thereby bolstering the reliability and generalizability of the outcomes [6,19,22]. These findings align with existing literature, further affirming the correlation between specific risk factors and the prognosis of Merkel cell carcinoma patients. In clinical settings, the study’s conclusions can assist healthcare providers in accurately evaluating the survival risk of postoperative Merkel cell carcinoma patients and formulating tailored follow-up and treatment strategies. Furthermore, through comparative analysis with other research findings, the study validates its conclusions, establishing a robust foundation for the clinical implementation of tumor-specific survival analysis. Future investigations should focus on enlarging the sample size and incorporating comprehensive clinical data to further validate the study’s outcomes and provide conclusive evidence in support of personalized treatment and clinical management of Merkel cell carcinoma patients.

The study has several limitations. First, relevant factors affecting the prognosis of patients’ post-surgical resection of Merkel cell carcinoma, such as surgical margins and serum tumor markers, were not accessible in the SEER database and thus were excluded from the analysis. Moreover, due to its retrospective nature, this research is restricted by the constraints of the SEER database, posing challenges in updating to the most current data and possibly leading to selection bias within the study cohort. Additionally, the absence of external multi-institutional validation data in this study limits the broader applicability of its findings.

5 Conclusion

T and N stages, as autonomous prognostic indicators of tumors, directly reflect the tumor’s size, invasiveness, and lymph node involvement, crucial factors strongly associated with patient survival. Higher T and N stages correlate with a poorer prognosis, necessitating more assertive treatment and vigilant monitoring. This study’s findings underscore that N and T staging serve as independent risk factors influencing the outcomes of patients undergoing surgical resection for Merkel cell carcinoma. Through a comprehensive evaluation of these factors, clinical practices can be more effectively guided, positively influencing patient recovery and long-term survival.


# These authors contributed equally to this work and share first authorship.

## These authors contributed equally to this article and should be considered as formal co-corresponding authors.


Acknowledgements

The authors thank all SEER database staff and scientists. They are also very grateful to Guangdong Provincial Key Laboratory of Traditional Chinese Medicine Informatization for their support.

  1. Funding information: This research was funded by Key Scientific Problems and Medical Technical Problems Research Project of China Medical Education Association (grant number 2022KTZ009) and Guangdong Provincial Key Laboratory of Traditional Chinese Medicine Informatization (grant number 2021B1212040007).

  2. Author contributions: J.X.Z., H.Y., and X.C.X. designed the study; Y.N.C., W.K.M., Y.Z.J., Y.S.L., C.C.I., and C.D.H. collected and analyzed the data; J.X.Z. drafted the initial manuscript; Q.Q.Z. revised the article critically; S.Z.Z., X.K.Z., and L.M.X. reviewed and edited the article; S.W., J.L., and L.H.D. performed the statistical analysis and carried out the studies. All authors approved the final manuscript. J.X.Z., H.Y., and X.C.X. contributed equally to this article and should be considered as the co-first authors. S.W., J.L., and L.H.D. contributed equally to this article and should be considered as formal co-corresponding authors.

  3. Conflict of interest: The authors declare no conflict of interest. The funders had no role in the design of the study.

  4. Data availability statement: Publicly available datasets were analyzed in this study. This data can be found at https://seer.cancer.gov.

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Received: 2024-06-03
Revised: 2024-10-18
Accepted: 2024-11-08
Published Online: 2025-03-21

© 2025 the author(s), published by De Gruyter

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

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  49. The effect of ambulatory blood pressure load on mitral regurgitation in continuous ambulatory peritoneal dialysis patients
  50. Expression and clinical significance of ITGA3 in breast cancer
  51. Single-nucleus RNA sequencing reveals ARHGAP28 expression of podocytes as a biomarker in human diabetic nephropathy
  52. rSIG combined with NLR in the prognostic assessment of patients with multiple injuries
  53. Toxic metals and metalloids in collagen supplements of fish and jellyfish origin: Risk assessment for daily intake
  54. Exploring causal relationship between 41 inflammatory cytokines and marginal zone lymphoma: A bidirectional Mendelian randomization study
  55. Gender beliefs and legitimization of dating violence in adolescents
  56. Effect of serum IL-6, CRP, and MMP-9 levels on the efficacy of modified preperitoneal Kugel repair in patients with inguinal hernia
  57. Effect of smoking and smoking cessation on hematological parameters in polycythemic patients
  58. Pathogen surveillance and risk factors for pulmonary infection in patients with lung cancer: A retrospective single-center study
  59. Necroptosis of hippocampal neurons in paclitaxel chemotherapy-induced cognitive impairment mediates microglial activation via TLR4/MyD88 signaling pathway
  60. Celastrol suppresses neovascularization in rat aortic vascular endothelial cells stimulated by inflammatory tenocytes via modulating the NLRP3 pathway
  61. Cord-lamina angle and foraminal diameter as key predictors of C5 palsy after anterior cervical decompression and fusion surgery
  62. GATA1: A key biomarker for predicting the prognosis of patients with diffuse large B-cell lymphoma
  63. Influencing factors of false lumen thrombosis in type B aortic dissection: A single-center retrospective study
  64. MZB1 regulates the immune microenvironment and inhibits ovarian cancer cell migration
  65. Integrating experimental and network pharmacology to explore the pharmacological mechanisms of Dioscin against glioblastoma
  66. Trends in research on preterm birth in twin pregnancy based on bibliometrics
  67. Four-week IgE/baseline IgE ratio combined with tryptase predicts clinical outcome in omalizumab-treated children with moderate-to-severe asthma
  68. Single-cell transcriptomic analysis identifies a stress response Schwann cell subtype
  69. Acute pancreatitis risk in the diagnosis and management of inflammatory bowel disease: A critical focus
  70. Effect of subclinical esketamine on NLRP3 and cognitive dysfunction in elderly ischemic stroke patients
  71. Interleukin-37 mediates the anti-oral tumor activity in oral cancer through STAT3
  72. CA199 and CEA expression levels, and minimally invasive postoperative prognosis analysis in esophageal squamous carcinoma patients
  73. Efficacy of a novel drainage catheter in the treatment of CSF leak after posterior spine surgery: A retrospective cohort study
  74. Comprehensive biomedicine assessment of Apteranthes tuberculata extracts: Phytochemical analysis and multifaceted pharmacological evaluation in animal models
  75. Relation of time in range to severity of coronary artery disease in patients with type 2 diabetes: A cross-sectional study
  76. Dopamine attenuates ethanol-induced neuronal apoptosis by stimulating electrical activity in the developing rat retina
  77. Correlation between albumin levels during the third trimester and the risk of postpartum levator ani muscle rupture
  78. Factors associated with maternal attention and distraction during breastfeeding and childcare: A cross-sectional study in the west of Iran
  79. Mechanisms of hesperetin in treating metabolic dysfunction-associated steatosis liver disease via network pharmacology and in vitro experiments
  80. The law on oncological oblivion in the Italian and European context: How to best uphold the cancer patients’ rights to privacy and self-determination?
  81. The prognostic value of the neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, and prognostic nutritional index for survival in patients with colorectal cancer
  82. Factors affecting the measurements of peripheral oxygen saturation values in healthy young adults
  83. Comparison and correlations between findings of hysteroscopy and vaginal color Doppler ultrasonography for detection of uterine abnormalities in patients with recurrent implantation failure
  84. The effects of different types of RAGT on balance function in stroke patients with low levels of independent walking in a convalescent rehabilitation hospital
  85. Causal relationship between asthma and ankylosing spondylitis: A bidirectional two-sample univariable and multivariable Mendelian randomization study
  86. Correlations of health literacy with individuals’ understanding and use of medications in Southern Taiwan
  87. Correlation of serum calprotectin with outcome of acute cerebral infarction
  88. Comparison of computed tomography and guided bronchoscopy in the diagnosis of pulmonary nodules: A systematic review and meta-analysis
  89. Curdione protects vascular endothelial cells and atherosclerosis via the regulation of DNMT1-mediated ERBB4 promoter methylation
  90. The identification of novel missense variant in ChAT gene in a patient with gestational diabetes denotes plausible genetic association
  91. Molecular genotyping of multi-system rare blood types in foreign blood donors based on DNA sequencing and its clinical significance
  92. Exploring the role of succinyl carnitine in the association between CD39⁺ CD4⁺ T cell and ulcerative colitis: A Mendelian randomization study
  93. Dexmedetomidine suppresses microglial activation in postoperative cognitive dysfunction via the mmu-miRNA-125/TRAF6 signaling axis
  94. Analysis of serum metabolomics in patients with different types of chronic heart failure
  95. Diagnostic value of hematological parameters in the early diagnosis of acute cholecystitis
  96. Pachymaran alleviates fat accumulation, hepatocyte degeneration, and injury in mice with nonalcoholic fatty liver disease
  97. Decrease in CD4 and CD8 lymphocytes are predictors of severe clinical picture and unfavorable outcome of the disease in patients with COVID-19
  98. METTL3 blocked the progression of diabetic retinopathy through m6A-modified SOX2
  99. The predictive significance of anti-RO-52 antibody in patients with interstitial pneumonia after treatment of malignant tumors
  100. Exploring cerebrospinal fluid metabolites, cognitive function, and brain atrophy: Insights from Mendelian randomization
  101. Development and validation of potential molecular subtypes and signatures of ocular sarcoidosis based on autophagy-related gene analysis
  102. Widespread venous thrombosis: Unveiling a complex case of Behçet’s disease with a literature perspective
  103. Uterine fibroid embolization: An analysis of clinical outcomes and impact on patients’ quality of life
  104. Discovery of lipid metabolism-related diagnostic biomarkers and construction of diagnostic model in steroid-induced osteonecrosis of femoral head
  105. Serum-derived exomiR-188-3p is a promising novel biomarker for early-stage ovarian cancer
  106. Enhancing chronic back pain management: A comparative study of ultrasound–MRI fusion guidance for paravertebral nerve block
  107. Peptide CCAT1-70aa promotes hepatocellular carcinoma proliferation and invasion via the MAPK/ERK pathway
  108. Electroacupuncture-induced reduction of myocardial ischemia–reperfusion injury via FTO-dependent m6A methylation modulation
  109. Hemorrhoids and cardiovascular disease: A bidirectional Mendelian randomization study
  110. Cell-free adipose extract inhibits hypertrophic scar formation through collagen remodeling and antiangiogenesis
  111. HALP score in Demodex blepharitis: A case–control study
  112. Assessment of SOX2 performance as a marker for circulating cancer stem-like cells (CCSCs) identification in advanced breast cancer patients using CytoTrack system
  113. Risk and prognosis for brain metastasis in primary metastatic cervical cancer patients: A population-based study
  114. Comparison of the two intestinal anastomosis methods in pediatric patients
  115. Factors influencing hematological toxicity and adverse effects of perioperative hyperthermic intraperitoneal vs intraperitoneal chemotherapy in gastrointestinal cancer
  116. Endotoxin tolerance inhibits NLRP3 inflammasome activation in macrophages of septic mice by restoring autophagic flux through TRIM26
  117. Lateral transperitoneal laparoscopic adrenalectomy: A single-centre experience of 21 procedures
  118. Petunidin attenuates lipopolysaccharide-induced retinal microglia inflammatory response in diabetic retinopathy by targeting OGT/NF-κB/LCN2 axis
  119. 10.1515/med-2025-1258
  120. 10.1515/med-2025-1276
  121. 10.1515/med-2025-1277
  122. 10.1515/med-2025-1252
  123. 10.1515/med-2025-1247
  124. Review Articles
  125. The effects of enhanced external counter-pulsation on post-acute sequelae of COVID-19: A narrative review
  126. Diabetes-related cognitive impairment: Mechanisms, symptoms, and treatments
  127. Microscopic changes and gross morphology of placenta in women affected by gestational diabetes mellitus in dietary treatment: A systematic review
  128. Review of mechanisms and frontier applications in IL-17A-induced hypertension
  129. Research progress on the correlation between islet amyloid peptides and type 2 diabetes mellitus
  130. The safety and efficacy of BCG combined with mitomycin C compared with BCG monotherapy in patients with non-muscle-invasive bladder cancer: A systematic review and meta-analysis
  131. The application of augmented reality in robotic general surgery: A mini-review
  132. The effect of Greek mountain tea extract and wheat germ extract on peripheral blood flow and eicosanoid metabolism in mammals
  133. Neurogasobiology of migraine: Carbon monoxide, hydrogen sulfide, and nitric oxide as emerging pathophysiological trinacrium relevant to nociception regulation
  134. Plant polyphenols, terpenes, and terpenoids in oral health
  135. Laboratory medicine between technological innovation, rights safeguarding, and patient safety: A bioethical perspective
  136. End-of-life in cancer patients: Medicolegal implications and ethical challenges in Europe
  137. The maternal factors during pregnancy for intrauterine growth retardation: An umbrella review
  138. Intra-abdominal hypertension/abdominal compartment syndrome of pediatric patients in critical care settings
  139. PI3K/Akt pathway and neuroinflammation in sepsis-associated encephalopathy
  140. Screening of Group B Streptococcus in pregnancy: A systematic review for the laboratory detection
  141. Giant borderline ovarian tumours – review of the literature
  142. Leveraging artificial intelligence for collaborative care planning: Innovations and impacts in shared decision-making – A systematic review
  143. Cholera epidemiology analysis through the experience of the 1973 Naples epidemic
  144. 10.1515/med-2025-1259
  145. Case Reports
  146. Delayed graft function after renal transplantation
  147. Semaglutide treatment for type 2 diabetes in a patient with chronic myeloid leukemia: A case report and review of the literature
  148. Diverse electrophysiological demyelinating features in a late-onset glycogen storage disease type IIIa case
  149. Giant right atrial hemangioma presenting with ascites: A case report
  150. Laser excision of a large granular cell tumor of the vocal cord with subglottic extension: A case report
  151. EsoFLIP-assisted dilation for dysphagia in systemic sclerosis: Highlighting the role of multimodal esophageal evaluation
  152. Rapid Communication
  153. Biological properties of valve materials using RGD and EC
  154. Letter to the Editor
  155. Role of enhanced external counterpulsation in long COVID
  156. Expression of Concern
  157. Expression of concern “A ceRNA network mediated by LINC00475 in papillary thyroid carcinoma”
  158. Expression of concern “Notoginsenoside R1 alleviates spinal cord injury through the miR-301a/KLF7 axis to activate Wnt/β-catenin pathway”
  159. Expression of concern “circ_0020123 promotes cell proliferation and migration in lung adenocarcinoma via PDZD8”
  160. Corrigendum
  161. Corrigendum to “Empagliflozin improves aortic injury in obese mice by regulating fatty acid metabolism”
  162. Corrigendum to “Comparing the therapeutic efficacy of endoscopic minimally invasive surgery and traditional surgery for early-stage breast cancer: A meta-analysis”
  163. Corrigendum to “The progress of autoimmune hepatitis research and future challenges”
  164. Retraction
  165. Retraction of “miR-654-5p promotes gastric cancer progression via the GPRIN1/NF-κB pathway”
  166. Special Issue Advancements in oncology: bridging clinical and experimental research - Part II
  167. Unveiling novel biomarkers for platinum chemoresistance in ovarian cancer
  168. Lathyrol affects the expression of AR and PSA and inhibits the malignant behavior of RCC cells
  169. The era of increasing cancer survivorship: Trends in fertility preservation, medico-legal implications, and ethical challenges
  170. Bone scintigraphy and positron emission tomography in the early diagnosis of MRONJ
  171. Meta-analysis of clinical efficacy and safety of immunotherapy combined with chemotherapy in non-small cell lung cancer
  172. Special Issue Computational Intelligence Methodologies Meets Recurrent Cancers - Part IV
  173. Exploration of mRNA-modifying METTL3 oncogene as momentous prognostic biomarker responsible for colorectal cancer development
  174. Special Issue The evolving saga of RNAs from bench to bedside - Part III
  175. Interaction and verification of ferroptosis-related RNAs Rela and Stat3 in promoting sepsis-associated acute kidney injury
  176. Special Issue Exploring the biological mechanism of human diseases based on MultiOmics Technology - Part II
  177. Dynamic changes in lactate-related genes in microglia and their role in immune cell interactions after ischemic stroke
  178. A prognostic model correlated with fatty acid metabolism in Ewing’s sarcoma based on bioinformatics analysis
  179. Special Issue Diabetes
  180. Nutritional risk assessment and nutritional support in children with congenital diabetes during surgery
  181. Correlation of the differential expressions of RANK, RANKL, and OPG with obesity in the elderly population in Xinjiang
  182. 10.1515/med-2025-1254
  183. Special Issue Biomarker Discovery and Precision Medicine
  184. CircASH1L-mediated tumor progression in triple-negative breast cancer: PI3K/AKT pathway mechanisms
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