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Zhao J, Li D, Xie S, Deng X, Wen X, Li J, Wu Z, Yang X, Li M, Tang Y, Zhang X, Ding Y. Nomogram for predicting prognosis of patients with metastatic melanoma after immunotherapy: A Chinese population-based analysis. Front Immunol 2022; 13:1083840. [PMID: 36618343 PMCID: PMC9815596 DOI: 10.3389/fimmu.2022.1083840] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2022] [Accepted: 12/06/2022] [Indexed: 12/24/2022] Open
Abstract
Background Previous studies indicated the evidence that baseline levels of thyroid antibodies, thyroid status, and serum lactate dehydrogenase (LDH) and M stage may influence the prognosis of patients with advanced or metastatic melanoma treated with immune checkpoint inhibitors that targets programmed cell death-1 (PD-1) or programmed death ligand 1, which reported that dramatic improvements in survival rates were observed; however, the presence of controversy has prevented consensus from being reached. Study objectives were to develop a nomogram to identify several prognostic factors in Chinese patients with metastatic melanoma receiving immunotherapy. Methods This retrospective study included 231 patients from Sun Yat-sen University Cancer Center, and patients were split into internal cohort (n = 165) and external validation cohort (n = 66). We developed a nomogram for the prediction of response and prognosis on the basis of the levels of serum thyroid peroxidase antibody (A-TPO), free T3 (FT3), and LDH and M stage that were measured at the baseline of anti-PD-1 infusion. In addition, the follow-up lasted at least until 5 years after the treatment or mortality. RECIST v1.1 was used to classify treatment responses. Results Chi-square test showed that PD-1 antibody was more effective in patients with melanoma with high level baseline FT4 or earlier M stage. A multivariate Cox analysis showed that baseline FT3 (P = 0.009), baseline A-TPO (P = 0.016), and LDH (P = 0.013) levels and M stage (P < 0.001) independently predicted overall survival (OS) in patients with melanoma. The above factors are integrated, and a prediction model is established, i.e., nomogram. Survival probability area-under-the-curve values of 1, 2, and 3 years in the training, internal validation, and external validation cohorts showed the prognostic accuracy and clinical applicability of nomogram (training: 0.714, 0.757, and 0.764; internal validation: 0.7171963, 0.756549, and 0.7651486; external validation: 0.748, 0.710, and 0.856). In addition, the OS of low-risk (total score ≤ 142.65) versus high-risk (total score > 142.65) patients varied significantly in both training group (P < 0.0001) and external validation cohort (P = 0.0012). Conclusions According to this study, baseline biomarkers are associated with response to immunotherapy and prognosis among patients with metastatic melanoma. Treatment regimens can be tailor-made on the basis of these biomarkers.
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Affiliation(s)
- Jingjing Zhao
- Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou, China,Department of Biotherapy, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Dandan Li
- Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou, China,Department of Biotherapy, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Songzuo Xie
- Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou, China,Department of Biotherapy, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Xinpei Deng
- Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Xizhi Wen
- Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou, China,Department of Biotherapy, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Jingjing Li
- Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou, China,Department of Biotherapy, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Zhengrong Wu
- Department of Pathology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China
| | - Xinyi Yang
- Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou, China,Department of Biotherapy, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Minxing Li
- Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou, China,Department of Biotherapy, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Yan Tang
- Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou, China,Department of Biotherapy, Sun Yat-Sen University Cancer Center, Guangzhou, China,*Correspondence: Ya Ding, ; Xiaoshi Zhang, ; Yan Tang,
| | - Xiaoshi Zhang
- Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou, China,Department of Biotherapy, Sun Yat-Sen University Cancer Center, Guangzhou, China,*Correspondence: Ya Ding, ; Xiaoshi Zhang, ; Yan Tang,
| | - Ya Ding
- Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou, China,Department of Biotherapy, Sun Yat-Sen University Cancer Center, Guangzhou, China,*Correspondence: Ya Ding, ; Xiaoshi Zhang, ; Yan Tang,
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Effect of prior thyroid cancer on survival of primary liver cancer: a study based on the SEER database. Sci Rep 2022; 12:13887. [PMID: 35974063 PMCID: PMC9381514 DOI: 10.1038/s41598-022-17729-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Accepted: 07/29/2022] [Indexed: 11/08/2022] Open
Abstract
To explore the effect of prior thyroid cancer on the survival of primary liver cancer (PLC). Eligible PLC patients were selected from the Surveillance, Epidemiology, and End Results (SEER) database during 2004-2016. Propensity score matching (PSM) was used to create a highly comparable control group that PLC patients without prior thyroid cancer. All PLC patients were divided into three groups based on the survival information: (1) PLC-specific death; (2) death due to other causes; (3) alive. The effect sizes were presented by the corresponding hazard ratio (HR) and 95% confidence intervals (CI). Totally, 142 PLC patients with prior thyroid cancer and 1420 PLC patients without prior thyroid cancer were included. During the follow-up period, 714 (45.71%) PLC patients died of liver cancer while 638 (40.85%) PLC patients were alive. Median survival time for PLC patients was 11.00 months, respectively. PLC patients with prior thyroid cancer have a lower risk of death (HR = 0.64; 95% CI: 0.48-0.86). Subgroup analyses stratified by gender displayed the similar relation in female patients with PLC. Prior thyroid cancer may be a protective factor for liver cancer death in PLC patients, especially in female patients.
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Liu Y, Huang Y, Mo G, Zhou T, Hou Q, Shi C, Yu J, Lv Y. Combined prognostic value of preoperative serum thyrotrophin and thyroid hormone concentration in papillary thyroid cancer. J Clin Lab Anal 2022; 36:e24503. [PMID: 35666615 PMCID: PMC9279971 DOI: 10.1002/jcla.24503] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Revised: 04/12/2022] [Accepted: 05/06/2022] [Indexed: 01/02/2023] Open
Abstract
Background A growing number of studies have found a close association between thyroid hormones and thyrotrophin (TSH), and they also have prognostic significance in some cancer types; this study aimed to investigate the prognostic value of free triiodothyronine (fT3), free thyroxine (fT4), fT3/fT4, TSH, and their combination in patients with papillary thyroid carcinoma (PTC). Methods This study retrospectively analyzed the relevant data of 726 newly diagnosed PTC patients. Both univariate and multivariate analyses were used to predict the recurrence rate, and a risk score was established. In addition, with the use of a random survival forest, a random forest (RF) score was constructed. After calculating the area under the curve (AUC), the diagnostic efficacy of risk score, RF score, and four indicators was compared. Results fT3, fT4, fT3/fT4, and TSH were strongly associated with some invasive clinicopathological features and postoperative recurrence. Patients with high expression of fT4 and TSH have a high risk of recurrence. By contrast, patients with high expression of fT3 and fT3/fT4 have a low risk of recurrence. At the same time, the combined use of various indicators is more helpful for establishing an accurate diagnosis. By comparison, we found that the RF score was better than the risk score in terms of predicting the recurrence of PTC. Conclusion The diagnostic accuracy of a combination of fT3, fT4, fT3/fT4, and TSH can help improve our clinical estimate of the risk of recurrent PTC, thus allowing the development of a more effective treatment plan for patients.
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Affiliation(s)
- Yushu Liu
- Department of Thyroid Surgery, Second Affiliated Hospital of Nanchang University, Nanchang, China.,The second clinical medicine college, Medical Department, Nanchang University, Nanchang, China
| | - Yanyi Huang
- Department of Thyroid Surgery, Second Affiliated Hospital of Nanchang University, Nanchang, China.,The second clinical medicine college, Medical Department, Nanchang University, Nanchang, China
| | - Guoheng Mo
- Department of Thyroid Surgery, Second Affiliated Hospital of Nanchang University, Nanchang, China.,The Queen of Mary college, Medical Department, Nanchang University, Nanchang, China
| | - Tao Zhou
- Department of Thyroid Surgery, Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Qian Hou
- Department of Thyroid Surgery, Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Chaoqun Shi
- Department of Thyroid Surgery, Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Jichun Yu
- Department of Thyroid Surgery, Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Yunxia Lv
- Department of Thyroid Surgery, Second Affiliated Hospital of Nanchang University, Nanchang, China
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Sun G, Hou X, Zhang L, Zhang H, Shao C, Li F, Zong C, Li R, Shi J, Yang X, Zhang L. 3,5,3'-Triiodothyronine-Loaded Liposomes Inhibit Hepatocarcinogenesis Via Inflammation-Associated Macrophages. Front Oncol 2022; 12:877982. [PMID: 35646705 PMCID: PMC9135096 DOI: 10.3389/fonc.2022.877982] [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: 02/17/2022] [Accepted: 04/04/2022] [Indexed: 11/19/2022] Open
Abstract
Background Hepatocellular carcinoma (HCC) is inflammation-related cancer. Persistent inflammatory injury of the liver is an important factor mediating the occurrence and development of liver cancer. Hepatic macrophages play an important role in the inflammatory microenvironment, which mediates tumor immune escape, tumor growth, and metastasis. Previous studies have suggested that L-3,5,3-triiodothyronine (T3) can regulate inflammation; however, its use is associated with serious cardiac side effects, and its role in hepatocarcinogenesis remains unclear. In this study, we aimed to develop an effective T3 delivery system with reduced cardiac toxicity and to explore its effects on HCC occurrence. Methods T3 liposomes (T3-lipo) were prepared using the thin-film hydration method, and their characteristics, including particle size, polydispersity index, zeta potential, encapsulation efficiency, drug loading, drug release, and stability, were evaluated in vitro. We assessed the effect of T3-lipo on hepatocarcinogenesis in diethylnitrosamine (DEN)–induced primary HCC in rats and examined the biodistribution of T3 and T3-lipo by high-performance liquid chromatography–mass spectrometry. Furthermore, we explored the potential molecular mechanism of T3-lipo in hepatocarcinogenesis by immunohistochemistry and immunofluorescence analyses, Bio-Plex assays, real-time polymerase chain reaction analysis, and Western blotting assays. Results Compared with T3, T3-lipo had an enhanced inhibitory effect on hepatocarcinogenesis and reduced cardiac side effects in DEN-induced primary HCC in rats. Mechanistically, T3-lipo were absorbed by hepatic macrophages and regulated the secretion of inflammatory cytokines in macrophages by inhibiting inflammatory signaling pathways. Conclusions T3-lipo may suppress hepatocarcinogenesis by regulating the inflammatory microenvironment in the liver and reduce the cardiac side effects meanwhile.
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Affiliation(s)
- Gangqi Sun
- Department of Clinical Pharmacology, The Second Hospital of Anhui Medical University, Hefei, China.,Department of Phase I Clinical Trial, Clinical Research Unit, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Xiaojuan Hou
- Tumor Immunology and Gene Therapy Center, Third Affiliated Hospital of Second Military Medical University, Shanghai, China.,Department of Tumor Immunity and Metabolism,The National Center for Liver Cancer, Shanghai, China
| | - Luyao Zhang
- Department of Phase I Clinical Trial, Clinical Research Unit, Changhai Hospital, Naval Medical University, Shanghai, China.,School of Pharmacy, Anhui Medical University, Hefei, China
| | - Hengyan Zhang
- Department of Phase I Clinical Trial, Clinical Research Unit, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Changchun Shao
- Department of Oncology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Fengwei Li
- Department of Hepatobiliary Surgery, Eastern Hepatobiliary Surgery Hospital, Naval Medical University, Shanghai, China
| | - Chen Zong
- Tumor Immunology and Gene Therapy Center, Third Affiliated Hospital of Second Military Medical University, Shanghai, China.,Department of Tumor Immunity and Metabolism,The National Center for Liver Cancer, Shanghai, China
| | - Rong Li
- Laboratory Zone, Eastern Hepatobiliary Clinical Research Institute, Third Affiliated Hospital of Naval Medical University, Shanghai, China
| | - Junxia Shi
- Tumor Immunology and Gene Therapy Center, Third Affiliated Hospital of Second Military Medical University, Shanghai, China.,Department of Tumor Immunity and Metabolism,The National Center for Liver Cancer, Shanghai, China
| | - Xue Yang
- Tumor Immunology and Gene Therapy Center, Third Affiliated Hospital of Second Military Medical University, Shanghai, China.,Department of Tumor Immunity and Metabolism,The National Center for Liver Cancer, Shanghai, China
| | - Li Zhang
- Department of Clinical Pharmacology, The Second Hospital of Anhui Medical University, Hefei, China.,Department of Phase I Clinical Trial, Clinical Research Unit, Changhai Hospital, Naval Medical University, Shanghai, China
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