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Xiao Y, Lin H, Li J, Wu J. Disulfidptosis-related prognostic signature correlates with immunotherapy response in colorectal cancer. Sci Rep 2024; 14:81. [PMID: 38168553 PMCID: PMC10762008 DOI: 10.1038/s41598-023-49954-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Accepted: 12/13/2023] [Indexed: 01/05/2024] Open
Abstract
Disulfidptosis (DSP), a form of cell death caused by disulphide stress, plays an important role in tumour progression. However, the mechanisms by which DSP regulates the tumour microenvironment remain unclear. Thus, we analysed the transcriptome profiles and clinical data, which were obtained from the TCGA database, of 540 patients with colorectal cancer. Compared with the patients with low DSP expression, those with high DSP expression exhibited significantly better survival outcomes; lower stromal and ESTIMATE scores; significantly higher numbers of CD4+ T cells, M2 macrophages, dendritic cells, and neutrophils; higher expression of immune checkpoint-related genes; and lower Tregs and HLA-DQB2 levels. A prognostic signature established based on DSP-related genes demonstrated an increase in risk score with a higher clinical stage. Risk scores negatively correlated with dendritic cells, eosinophils, and CD4+ T cells and significantly positively correlated with Treg cells. Patients with higher risk scores experienced significantly worse survival outcomes and immunotherapy non-response. Our nomogram model, combining clinicopathological features and risk scores, exhibited robust prognostic and predictive power. In conclusion, DSP-related genes actively participated in regulating the tumour microenvironment. Thus, they can serve as biomarkers to provide targeted treatment for colorectal cancer.
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Affiliation(s)
- Yu Xiao
- Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, China
| | - Hancui Lin
- Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, China
| | - Jinluan Li
- Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, China.
| | - Junxin Wu
- Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, China.
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Zheng J, Zhang H, Li S, Kang Z, Zheng F, Yao Q, Zhang X, Wu Z, Wang J, Fang W, Li J, Chen G, Chen Y, Chen M. Prognostic value of Hematoxylin and eosin staining tumor-infiltrating lymphocytes (H&E-TILs) in patients with esophageal squamous cell carcinoma treated with chemoradiotherapy. BMC Cancer 2023; 23:1193. [PMID: 38053017 DOI: 10.1186/s12885-023-11684-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Accepted: 11/27/2023] [Indexed: 12/07/2023] Open
Abstract
BACKGROUND Tumor-infiltrating lymphocytes (TILs) by routine hematoxylin and eosin staining (H&E-TILs) are a robust prognostic biomarker in various cancers. However, the role of H&E-TILs in esophageal squamous cell carcinoma (ESCC) treated with concurrent chemoradiotherapy (CCRT) has not been reported. The purpose of this study was to assess the prognostic value of H&E-TILs in ESCC treated with CCRT. METHODS The clinical data of 160 patients with ESCC treated with CCRT in our center between Jan. 2014 and Dec. 2021 were collected and retrospectively reviewed, and propensity score matching (PSM) analyses were performed. The H&E-TILs sections before CCRT were reassessed by two experienced pathologists independently. The H&E-TILs sections were classified into a positive group (+, > 10%) and a negative group (-, ≤ 10%) using 10% as the cutoff. The effects of H&E-TILs on overall survival (OS), progression-free survival (PFS), distant metastasis-free survival (DMFS), and locoregional recurrence-free survival (LRFS) were explored using the Kaplan‒Meier method, and the log-rank test was used to test the differences. Multivariable analysis was performed using the Cox proportion hazards model. RESULTS The short-term response to CCRT and the OS (P < 0.001), DMFS (P = 0.001), and LRFS (P < 0.001) rates were significantly different between the H&E-TILs (+) and H&E-TILs (-) groups. Subgroup analysis showed that H&E-TILs(+) with CR + PR group had a longer survival than H&E-TILs(-) with CR + PR, H&E-TILs(+) with SD + PD and H&E-TILs(-) with SD + PD group, respectively(P < 0.001). Furthermore, based on TCGA data, patients in the high TILs group had a better prognosis than those in the low TILs group. Multivariate analyses indicated that H&E-TILs and the short-term response to CCRT were the only two independent factors affecting OS, PFS, DMFS, and LRFS simultaneously, and H&E-TILs expression was associated with an even better prognosis for those patients with CR + PR. CONCLUSIONS H&E-TILs may be an effective and beneficial prognostic biomarker for ESCC patients treated with CCRT. Patients with H&E-TILs (+) with PR + CR would achieve excellent survival. Further prospective studies are required to validate the conclusions.
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Affiliation(s)
- Jifang Zheng
- Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, China
| | - Hejun Zhang
- Department of Pathology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, China
| | - Siya Li
- Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, China
| | - Zhaoxin Kang
- Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, China
- College of Computer and Data Science, Fuzhou University, Fuzhou, 350025, China
| | - Fei Zheng
- Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, China
| | - Qiwei Yao
- Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, China
| | - Xueqing Zhang
- Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, China
| | - Ziyi Wu
- Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, China
| | - Jiezhong Wang
- Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, China
| | - Weimin Fang
- Department of Thoracic Surgery Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, China
| | - Jiancheng Li
- Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, China
| | - Gang Chen
- Department of Pathology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, China
| | - Yuangui Chen
- Department of Radiation Oncology, Fujian Medical University Union Hospital, Fuzhou, 350001, China.
| | - Mingqiu Chen
- Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, China.
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Wu Q, Zhang X, Li H, Tang L, Zeng Y, Lin J, Chen Y, Li J. A modified melanoma-molGPA scoring model: assessment of survival after and efficacy of different radiotherapy modalities in patients with melanoma brain metastases. Discov Oncol 2023; 14:116. [PMID: 37382755 DOI: 10.1007/s12672-023-00722-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Accepted: 06/08/2023] [Indexed: 06/30/2023] Open
Abstract
PURPOSE Patients with malignant melanoma brain metastases (MBMs) have poor prognoses. For MBMs, the Melanoma-molGPA is the most widely used predictive score, but its predictive value remains uncertain in patients fully treated with radiotherapy. We identified MBMs prognostic factors and modified the prognostic scoring model. METHODS We retrospectively analyzed patients diagnosed with MBMs between December 2010 and November 2021 for prognostic factors influencing overall survival (OS) by univariate and multivariate analyses. Nomogram plots were based on Cox regression modeling. We evaluated overall survival (OS) using Kaplan-Meier survival curves and log-rank tests. RESULTS The median OS (mOS) was 7.9 months. On multivariate analysis, BRAF mutation status (p < 0.001), number of brain metastases (BM) (p < 0.001), presence of liver metastases (p < 0.001), brain metastases with a midline shift (p = 0.003), Karnofsky Performance Score (p = 0.02), and lymphocyte-to-monocyte ratio (p < 0.0001) were independent OS predictors. These were incorporated into a modified risk-stratification model. Overall, whole-brain radiotherapy (WBRT) did not significantly affect mOS (mOS, 6.89 vs. 8.83 months; p = 0.07). After risk stratification using our model, WBRT resulted in no significant survival benefit in the low-risk group (mOS 10.07 vs. 13.1 months; p = 0.71) but significantly worse prognosis in the high-risk group (mOS, 2.37 vs. 6.92 months; p = 0.026). CONCLUSION We propose a modified model that accurately distinguishes the prognosis of patients with MBMs and guides decision-making for radiotherapy. Based on this novel model, WBRT should be cautiously selected for high-risk patients.
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Affiliation(s)
- Qian Wu
- Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Xueqing Zhang
- Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Hui Li
- Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Lirui Tang
- Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Yibin Zeng
- Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Jing Lin
- Department of Medical Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Yu Chen
- Department of Medical Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Jinluan Li
- Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China.
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Lu T, Guo Q, Cui X, Chen Z, Lin S, Xu L, Lin J, Zong J, Pan J. Prognostic Evaluation of Nasopharyngeal Carcinoma with Bone-Only Metastasis after Therapy. Yonsei Med J 2016; 57:840-5. [PMID: 27189275 PMCID: PMC4951458 DOI: 10.3349/ymj.2016.57.4.840] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2015] [Revised: 12/04/2015] [Accepted: 12/09/2015] [Indexed: 11/29/2022] Open
Abstract
PURPOSE To evaluate the prognosis of nasopharyngeal carcinoma (NPC) patients who developed bone-only metastasis after primary treatment and the stratification of these patients into different risk groups based on independent prognostic factors. MATERIALS AND METHODS Eighty NPC patients who developed bone-only metastasis after definitive radiotherapy from October 2005 to December 2010 were enrolled. All these patients received palliative treatment for bone metastasis, including chemotherapy and/or radiotherapy. Clinical features, treatment modality, and laboratory parameters were examined with univariate and multivariate analyses. RESULTS The median follow-up time was 15.5 months (range, 2-67 months) for the whole cohort. The median overall metastatic survival (OMS) time and the 2-year estimate OMS rate were 26.5 months and 52%, respectively. Multivariate analysis indicated that patients with short metastases-free interval, multiple bone metastases sites, high serum lactic dehydrogenase levels, and treated with radiotherapy or chemotherapy alone had significantly worse outcomes. Patients were stratified into three different risk groups based on the number of adverse factors present. The OMS curves of the three groups were all significantly different (p<0.001). CONCLUSION Severl prognostic factors were found to be associated with worse outcomes. According to the number of adverse factors present, bone-only metastasis patients can be stratified into three risk groups with significantly different prognoses. Such grouping may help in improving the design of clinical trials and in guiding individualized treatment for NPC patients with bone-only metastasis.
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Affiliation(s)
- Tianzhu Lu
- Provincial Clinical College, Fujian Medical University, Fuzhou, Fujian, China
- Department of Radiation Oncology, Fujian Provincial Cancer Hospital, Fuzhou, Fujian, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian, China
| | - Qiaojuan Guo
- Provincial Clinical College, Fujian Medical University, Fuzhou, Fujian, China
- Department of Radiation Oncology, Fujian Provincial Cancer Hospital, Fuzhou, Fujian, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian, China
| | - Xiaofei Cui
- Provincial Clinical College, Fujian Medical University, Fuzhou, Fujian, China
- Department of Radiation Oncology, Fujian Provincial Cancer Hospital, Fuzhou, Fujian, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian, China
| | - Zhuhong Chen
- Provincial Clinical College, Fujian Medical University, Fuzhou, Fujian, China
- Department of Radiation Oncology, Fujian Provincial Cancer Hospital, Fuzhou, Fujian, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian, China
| | - Shaojun Lin
- Provincial Clinical College, Fujian Medical University, Fuzhou, Fujian, China
- Department of Radiation Oncology, Fujian Provincial Cancer Hospital, Fuzhou, Fujian, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian, China
| | - Luying Xu
- Provincial Clinical College, Fujian Medical University, Fuzhou, Fujian, China
- Department of Radiation Oncology, Fujian Provincial Cancer Hospital, Fuzhou, Fujian, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian, China
| | - Jin Lin
- Provincial Clinical College, Fujian Medical University, Fuzhou, Fujian, China
- Department of Radiation Oncology, Fujian Provincial Cancer Hospital, Fuzhou, Fujian, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian, China
| | - Jingfeng Zong
- Provincial Clinical College, Fujian Medical University, Fuzhou, Fujian, China
- Department of Radiation Oncology, Fujian Provincial Cancer Hospital, Fuzhou, Fujian, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian, China
| | - Jianji Pan
- Provincial Clinical College, Fujian Medical University, Fuzhou, Fujian, China
- Department of Radiation Oncology, Fujian Provincial Cancer Hospital, Fuzhou, Fujian, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian, China.
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