1
|
Chen Y, Zhang B, Wang X, Chen Y, Anwar M, Fan J, Ma B. Prognostic value of preoperative modified Glasgow prognostic score in predicting overall survival in breast cancer patients: A retrospective cohort study. Oncol Lett 2025; 29:180. [PMID: 39990808 PMCID: PMC11843409 DOI: 10.3892/ol.2025.14926] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2024] [Accepted: 01/07/2025] [Indexed: 02/25/2025] Open
Abstract
The modified Glasgow prognostic score (mGPS), based on C-reactive protein and albumin levels, is an inflammation-based prognostic tool used in various cancers. However, related research in breast cancer is limited. The present study evaluated the prognostic value of the preoperative mGPS in predicting overall survival (OS) of patients with breast cancer undergoing surgery. A retrospective cohort study was conducted involving 300 patients with breast cancer with up to 10 years of follow-up. Patients were categorized into three groups based on mGPS scores of 0, 1 and 2, and their clinical and pathological data were collected. Kaplan-Meier survival analysis and Cox proportional hazards models were used to assess survival outcomes and identify risk factors associated with higher mGPS scores. A prognostic nomogram was developed based on multivariate analysis to predict 5- and 10-year OS. Patients with high mGPS scores showed significantly poor survival outcomes. The 5- and 10-year survival rates for mGPS 0, 1 and 2 were 80, 70 and 55%, and 71, 55 and 22%, respectively (P<0.001). Multivariate Cox analysis identified the mGPS, age, smoking, PAM50 and TNM stage as independent predictors of OS. The nomogram based on the mGPS demonstrated good predictive accuracy (concordance index: 0.81) and calibration. The preoperative mGPS is an independent prognostic factor for OS of patients with breast cancer. It is a simple, cost-effective tool that can aid in risk stratification and guide treatment strategies. Further validation in larger cohorts is recommended.
Collapse
Affiliation(s)
- Yi Chen
- Department of Breast and Thyroid Surgery, The Affiliated Cancer Hospital of Xinjiang Medical University, Xinjiang Key Laboratory of Oncology, Urumqi, Xinjiang Uygur Autonomous Region 830011, P.R. China
- The Clinical Medical Research Center of Breast and Thyroid Tumor in Xinjiang, Urumqi, Xinjiang Uygur Autonomous Region 830011, P. R. China
| | - Boxiang Zhang
- Department of Breast and Thyroid Surgery, The Affiliated Cancer Hospital of Xinjiang Medical University, Xinjiang Key Laboratory of Oncology, Urumqi, Xinjiang Uygur Autonomous Region 830011, P.R. China
- The Clinical Medical Research Center of Breast and Thyroid Tumor in Xinjiang, Urumqi, Xinjiang Uygur Autonomous Region 830011, P. R. China
| | - Xiaoli Wang
- Department of Breast and Thyroid Surgery, The Affiliated Cancer Hospital of Xinjiang Medical University, Xinjiang Key Laboratory of Oncology, Urumqi, Xinjiang Uygur Autonomous Region 830011, P.R. China
- The Clinical Medical Research Center of Breast and Thyroid Tumor in Xinjiang, Urumqi, Xinjiang Uygur Autonomous Region 830011, P. R. China
| | - Yanyan Chen
- Department of Breast and Thyroid Surgery, The Affiliated Cancer Hospital of Xinjiang Medical University, Xinjiang Key Laboratory of Oncology, Urumqi, Xinjiang Uygur Autonomous Region 830011, P.R. China
- The Clinical Medical Research Center of Breast and Thyroid Tumor in Xinjiang, Urumqi, Xinjiang Uygur Autonomous Region 830011, P. R. China
| | - Munawar Anwar
- Department of Breast and Thyroid Surgery, The Affiliated Cancer Hospital of Xinjiang Medical University, Xinjiang Key Laboratory of Oncology, Urumqi, Xinjiang Uygur Autonomous Region 830011, P.R. China
- The Clinical Medical Research Center of Breast and Thyroid Tumor in Xinjiang, Urumqi, Xinjiang Uygur Autonomous Region 830011, P. R. China
| | - Jingjing Fan
- Department of Breast and Thyroid Surgery, The Affiliated Cancer Hospital of Xinjiang Medical University, Xinjiang Key Laboratory of Oncology, Urumqi, Xinjiang Uygur Autonomous Region 830011, P.R. China
- The Clinical Medical Research Center of Breast and Thyroid Tumor in Xinjiang, Urumqi, Xinjiang Uygur Autonomous Region 830011, P. R. China
| | - Binlin Ma
- Department of Breast and Thyroid Surgery, The Affiliated Cancer Hospital of Xinjiang Medical University, Xinjiang Key Laboratory of Oncology, Urumqi, Xinjiang Uygur Autonomous Region 830011, P.R. China
- The Clinical Medical Research Center of Breast and Thyroid Tumor in Xinjiang, Urumqi, Xinjiang Uygur Autonomous Region 830011, P. R. China
| |
Collapse
|
2
|
Huo J, Song Y, Lu J, Dou G, Chen H, Mi W, Yu Y, Liu Y. Albumin/fibrinogen ratio (AFR): a significant predictor of postoperative delirium in older patients undergoing non-neurosurgical and non-cardiac surgery. BMC Geriatr 2025; 25:142. [PMID: 40033217 PMCID: PMC11874849 DOI: 10.1186/s12877-025-05714-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2024] [Accepted: 01/17/2025] [Indexed: 03/05/2025] Open
Abstract
OBJECTIVE The purpose of this research was to evaluate the prognostic significance of preoperative albumin to fibrinogen (AFR) for postoperative delirium (POD) in older patients with non-neurosurgical and non-cardiac surgery. METHOD The retrospective cohort study included a group of patients aged 65 and above who underwent non-neurosurgical and non-cardiac surgery at the First Medical Center of Chinese PLA General Hospital from January 2014 to December 2021. AFR and POD correlation was evaluated through univariate and multivariable logistic regression analysis, as well as propensity score matching (PSM) and subgroup analysis. RESULTS In our study, the occurrence of POD was 2.9% (1566/53,609), with the AFR threshold identified as 10.625 based on the ROC curve. The study identified AFR ≤ 10.625 as a significant predictor of POD in both univariate and multivariable regression analyses, and the odds ratios (OR) were 2.65 (2.40-2.93), 1.98 (1.79-2.21), 1.51 (1.34-1.70), 1.27 (1.13-1.43) and 1.32 (1.14-1.53) in four models and the PSM model. CONCLUSION AFR is a valuable predictor for predicting the development of POD in older patients receiving non-neurosurgical and non-cardiac procedures. This finding highlights the importance of preoperative assessment of AFR in these patients to better predict and manage the risk of POD.
Collapse
Affiliation(s)
- Jiang Huo
- Department of Anaesthesiology, The First Medical Center of Chinese PLA General Hospital, Beijing, 100853, China
- Department of Anaesthesiology, The Fifth Medical Center of Chinese PLA General Hospital, Beijing, 100071, China
| | - Yuxiang Song
- Department of Anaesthesiology, The First Medical Center of Chinese PLA General Hospital, Beijing, 100853, China
| | - Jing Lu
- Department of Anaesthesiology, The Fifth Medical Center of Chinese PLA General Hospital, Beijing, 100071, China
| | - Guijin Dou
- Department of Anaesthesiology, The Fifth Medical Center of Chinese PLA General Hospital, Beijing, 100071, China
| | - Huixian Chen
- Department of Anaesthesiology, The Fifth Medical Center of Chinese PLA General Hospital, Beijing, 100071, China
| | - Weidong Mi
- Department of Anaesthesiology, The First Medical Center of Chinese PLA General Hospital, Beijing, 100853, China.
- National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, 100853, China.
| | - Yingqun Yu
- Department of Anaesthesiology, The Fifth Medical Center of Chinese PLA General Hospital, Beijing, 100071, China.
| | - Yanhong Liu
- Department of Anaesthesiology, The First Medical Center of Chinese PLA General Hospital, Beijing, 100853, China.
- National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, 100853, China.
| |
Collapse
|
3
|
Wang Z, Shen X. Prognostic and clinicopathological significance of fibrinogen-to-albumin ratio (FAR) in patients with breast cancer: a meta-analysis. World J Surg Oncol 2024; 22:220. [PMID: 39182155 PMCID: PMC11344941 DOI: 10.1186/s12957-024-03506-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2024] [Accepted: 08/18/2024] [Indexed: 08/27/2024] Open
Abstract
BACKGROUND The fibrinogen-to-albumin ratio (FAR) has been extensively studied for its role in predicting the prognosis of breast cancer (BC) patients; however, existing findings are conflicting. Therefore, this meta-analysis was conducted to identify the significance of FAR in predicting BC prognosis. METHODS We searched PubMed, Embase, Web of Science, Cochrane Library, and China National Knowledge Infrastructure databases until May 25, 2024. The value of FAR for predicting overall survival (OS) and disease-free survival (DFS) in BC was examined by calculating the combined hazard ratios (HRs) and 95% confidence intervals (CIs). Correlations between FAR and clinicopathological factors were analyzed using combined odds ratios (ORs) and 95% CIs. RESULTS Eight studies involving 4094 patients were included in this work. As shown by our combined data, increased FAR significantly predicted poor OS (HR = 2.84, 95% CI = 1.83-4.39, p < 0.001) and poor DFS (HR = 2.43, 95% CI = 1.66-3.58, p < 0.001) of BC. Moreover, the combined data showed that increased FAR was significantly correlated with age ≥ 50 years (OR = 2.04, 95% CI = 1.37-3.04, p < 0.001), stage III cancer (OR = 1.53, 95% CI = 1.04-2.27, p = 0.033), and the presence of lymph node metastases (OR = 1.33, 95% CI = 1.11-1.61, p = 0.002). Nonetheless, FAR was not significantly associated with tumor size, ER/PR/HER-2 status, or lymphovascular invasion in patients with BC. CONCLUSION In this meta-analysis, higher FAR was significantly associated with unfavorable OS and DFS in patients with BC and significantly correlated with several features predictive of cancer development in BC.
Collapse
Affiliation(s)
- Zhanwei Wang
- Department of Breast Surgery, Huzhou Central Hospital, Affiliated Central Hospital of Huzhou University, Huzhou, Zhejiang, China
| | - Xiaqing Shen
- Operating Room, Huzhou Central Hospital, Affiliated Central Hospital of Huzhou University, Huzhou, Zhejiang, 313000, China.
| |
Collapse
|
4
|
Agrawal P, Jain N, Gopalan V, Timon A, Singh A, Rajagopal PS, Hannenhalli S. Network-based approach elucidates critical genes in BRCA subtypes and chemotherapy response in triple negative breast cancer. iScience 2024; 27:109752. [PMID: 38699227 PMCID: PMC11063905 DOI: 10.1016/j.isci.2024.109752] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Revised: 03/18/2024] [Accepted: 04/12/2024] [Indexed: 05/05/2024] Open
Abstract
Breast cancers (BRCA) exhibit substantial transcriptional heterogeneity, posing a significant clinical challenge. The global transcriptional changes in a disease context, however, are likely mediated by few key genes which reflect disease etiology better than the differentially expressed genes (DEGs). We apply our network-based tool PathExt to 1,059 BRCA tumors across 4 subtypes to identify key mediator genes in each subtype. Compared to conventional differential expression analysis, PathExt-identified genes exhibit greater concordance across tumors, revealing shared and subtype-specific biological processes; better recapitulate BRCA-associated genes in multiple benchmarks, and are more essential in BRCA subtype-specific cell lines. Single-cell transcriptomic analysis reveals a subtype-specific distribution of PathExt-identified genes in multiple cell types from the tumor microenvironment. Application of PathExt to a TNBC chemotherapy response dataset identified subtype-specific key genes and biological processes associated with resistance. We described putative drugs that target key genes potentially mediating drug resistance.
Collapse
Affiliation(s)
- Piyush Agrawal
- Cancer Data Science Lab, National Cancer Institute, NIH, Bethesda, MD, USA
| | | | - Vishaka Gopalan
- Cancer Data Science Lab, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Annan Timon
- University of Pennsylvania, Philadelphia, PA, USA
| | - Arashdeep Singh
- Cancer Data Science Lab, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Padma S. Rajagopal
- Cancer Data Science Lab, National Cancer Institute, NIH, Bethesda, MD, USA
| | | |
Collapse
|
5
|
Xu J, Li S, Feng Y, Zhang J, Peng Y, Wang X, Wang H. The Fibrinogen/Albumin Ratio Index as an Independent Prognostic Biomarker for Patients with Combined Hepatocellular Cholangiocarcinoma After Surgery. Cancer Manag Res 2022; 14:1795-1806. [PMID: 35637941 PMCID: PMC9143788 DOI: 10.2147/cmar.s361462] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 05/07/2022] [Indexed: 12/13/2022] Open
Abstract
Purpose The fibrinogen/albumin ratio (FAR) is increasingly considered as a potential biomarker for predicting prognosis in various malignant tumors, whereas the value of the FAR in predicting the recurrence-free survival (RFS) in patients with combined hepatocellular cholangiocarcinoma (cHCC-CCA) after surgery has not been studied. Patients and Methods A total of 104 patients with surgical-pathologically proved cHCC-CCA were retrospectively analyzed. The best cut-off value of the FAR was calculated via receiver operating characteristic (ROC) curve analysis, and the cohort was then divided into two groups as high-FAR (H-FAR) group and low-FAR (L-FAR) group. The correlation between the preoperative FAR and clinicopathological characteristics was analyzed. Uni- and multi-variable analyses for RFS were evaluated using a Cox proportional hazards model to verify the predictive value of FAR on the RFS of cHCC-CCA. Additionally, a novel clinical nomogram based on FAR was developed to preoperatively predict the RFS of HCC-CCA. The C-index and calibration were conducted to evaluate the performance of the developed nomogram. Results According to the cut-off value of the FAR, the patients were grouped into the H-FARI (>0.075) and L-FARI (≤0.075) groups. FAR was significantly correlated with several clinical-pathological features, including age, cirrhosis, AFP, CA19-9, BCLC staging, NLR, and PLR. In the multi-variate analysis, FAR, cirrhosis and tumor size were independent prognostic predictors for poor RFS in cHCC-CCA patients after surgery. Moreover, the clinical nomogram based on FAR was constructed, showing well-predictive accuracy. Conclusion The preoperative FAR is a convenient and feasible serum biomarker for predicting the RFS of cHCC-CCA after surgery. Such developed FAR-based nomogram integrating tumor size and cirrhosis could be served as a feasible and convenient tool to assist the decision-making of clinical strategy.
Collapse
Affiliation(s)
- Jiake Xu
- Department of Gastroenterology, Kunshan Second People’s Hospital, Kunshan, People’s Republic of China
| | - Shaochun Li
- Department of General Surgery, Huadong Hospital Affiliated to Fudan University, Shanghai, People’s Republic of China
| | - Ye Feng
- Department of Gastroenterology, Kunshan Second People’s Hospital, Kunshan, People’s Republic of China
| | - Jie Zhang
- Department of Gastroenterology, Kunshan Second People’s Hospital, Kunshan, People’s Republic of China
| | - Youduo Peng
- Department of General Surgery, Huadong Hospital Affiliated to Fudan University, Shanghai, People’s Republic of China
| | - Xiaohong Wang
- Department of General Surgery, Huadong Hospital Affiliated to Fudan University, Shanghai, People’s Republic of China
| | - Hongwei Wang
- Department of General Surgery, Huadong Hospital Affiliated to Fudan University, Shanghai, People’s Republic of China
- Correspondence: Hongwei Wang, Tel +86 15021133649, Email
| |
Collapse
|