Cancer Biotherapy and Radiopharmaceuticals最新文献

{"title":"Same-Day Positron Emission Tomography/Computed Tomography with ⁶⁸Ga-Radiolabeled Fibroblast Activation Protein Inhibitors and ¹⁸F-Fluorodeoxyglucose Imaging for Gastrointestinal Cancers.","authors":"Xiaoshan Chen, Yunuan Liu, Xinming Zhao, Fenglian Jing, Bin Wang, Xiaolin Chen, Xiao Pang, Jingmian Zhang, Jianfang Wang, Zhaoqi Zhang, Jingya Han, Mengjiao Wang","doi":"10.1089/cbr.2024.0182","DOIUrl":"10.1089/cbr.2024.0182","url":null,"abstract":"<p><p><b><i>Objective:</i></b> We investigated the clinical practicability of same-day ⁶⁸Ga-radiolabeled fibroblast activation protein inhibitors (⁶⁸Ga-FAPI)-first and ¹⁸F-fluorodeoxyglucose (¹⁸F-FDG) imaging and compared it with same-day ¹⁸F-FDG-first or 2-day procedures in diagnosing gastrointestinal cancers. <b><i>Materials and Methods:</i></b> Sixty-five patients with confirmed gastrointestinal cancers were divided into same-day ⁶⁸Ga-FAPI-first group (Group A), same-day ¹⁸F-FDG-first group (Group B), and 2-day group (Group C). Low-dose CT and low injection activity were performed on ⁶⁸Ga-FAPI positron emission tomography/computed tomography (PET/CT). Interval times, radiation dose, diagnostic performance, and detectability were assessed among groups. Additionally, the uptake, tumor-to-liver ratio (TLR), diagnostic efficacy, and TNM stage were compared between the two modalities. <b><i>Results:</i></b> The total waiting time for Group C was significantly longer than that for Group A or B (both <i>p</i> < 0.001). The total dose-length product and effective dose decreased in all groups. There were comparable detectability and diagnostic performance among groups (all <i>p</i> > 0.05). The within-group analysis in Group B indicated that ⁶⁸Ga-FAPI PET/CT had higher uptake in the primary and recurrent lesions than ¹⁸F-FDG without differences in TLR, due to higher liver background on ⁶⁸Ga-FAPI PET than Group A or C (both <i>p</i> < 0.001).⁶⁸Ga-FAPI PET/CT possessed higher accuracy than ¹⁸F-FDG and changed staging in 14 patients (14/65, 21.54%). <b><i>Conclusions:</i></b> The same-day ⁶⁸Ga-FAPI-first and ¹⁸F-FDG imaging reduced examination waiting time without increased radiation dose, simultaneously achieving excellent diagnostic performance and improving clinical staging in diagnosing gastrointestinal cancers.</p>","PeriodicalId":55277,"journal":{"name":"Cancer Biotherapy and Radiopharmaceuticals","volume":" ","pages":"130-138"},"PeriodicalIF":2.4,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142513374","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Stratification of Lung Adenocarcinoma Patients Based on <i>In Silico</i> and Immunohistochemistry Analyses of Oxidative Stress-Related Genes.","authors":"Chongrong Qiu, Yuming Zhou, Xiaoliu Xiao, Tianjun Song, Dongyun Zeng, Jingliang Peng","doi":"10.1089/cbr.2024.0094","DOIUrl":"10.1089/cbr.2024.0094","url":null,"abstract":"<p><p><b><i>Background:</i></b> Lung adenocarcinoma (LUAD) remains heterogeneous in the prognosis of patients; oxidative stress (OS) has been widely linked to cancer progression. Therefore, it is necessary to explore the prognostic value of the OS-associated genes in LUAD. <b><i>Methods:</i></b> An OS-associated prognostic signature was developed using the Cox regression and random forest model in The Cancer Genome Atlas-LUAD dataset. Kaplan-Meier <b>(K-M)</b> survival curve and time-dependent receiver operating characteristic (tROC) curves were applied to evaluate and validate the predictive accuracy of this signature among the training and testing cohorts. A nomogram was constructed and also verified by the concordance index (C-index), calibration curves, and tROC curves, respectively. ESTIMATE algorithm and CIBERSORT algorithms were conducted to explore the signature's immune characteristics. Core target genes of the prognostic signature were identified in the protein-protein interaction network. <b><i>Results:</i></b> A six OS-associated prognostic gene signature (<i>CDC25C, ERO1A, GRIA1, TERT, CAV1, BDNF</i>) was developed. The tROC and K-M survival curves in the training and testing cohorts revealed that the signature had good and robust predictive capability to predict the overall survival of LUAD patients. Meanwhile, the risk score was an independent prognostic factor influencing patients' overall survival. The results of the C-index (0.714), calibration curves, and the 1-, 2-, and 3-year tROC curves (area under the curve = 0.703, 0.737, and 0.723, respectively) suggested that the nomogram had good predictive efficacy and prognostic value for LUAD. Then, the authors found that the high-risk group may be depletion or loss of antitumor function of immune cells. Finally, 10 core genes of the signature were predicted. <b><i>Conclusion:</i></b> Their study may provide a novel understanding for the identification of prognostic stratification in LUAD patients, as well as the regulation of OS-associated genes in LUAD progression.</p>","PeriodicalId":55277,"journal":{"name":"Cancer Biotherapy and Radiopharmaceuticals","volume":" ","pages":"11-21"},"PeriodicalIF":2.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141478034","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Unlocking Clinical Insights: Lymphocyte-Specific Protein Tyrosine Kinase Candidates as Promising Therapeutic Targets for Pancreatic Cancer Risk Stratification.","authors":"Huan Zhang, Paul Winter, Thomas Wartmann, Luca Simioni, Sara Al-Madhi, Aris Perrakis, Roland S Croner, Wenjie Shi, Quan Yu, Ulf D Kahlert","doi":"10.1089/cbr.2024.0056","DOIUrl":"10.1089/cbr.2024.0056","url":null,"abstract":"<p><p><b><i>Background:</i></b> Uncover the pivotal link between lymphocyte-specific protein tyrosine kinase (Lck)-related genes and clinical risk stratification in pancreatic cancer. <b><i>Methods:</i></b> This study identifies shared genes between differentially expressed genes (DEGs) and Lck-related genes in pancreatic cancer using a methodological framework rooted in The Cancer Genome Atlas database. Feature gene selection is accomplished and a signature model is constructed. Statistical significant clinical endpoints such as overall survival (OS), disease-specific survival (DSS), and progression-free interval (PFI) were defined. <b><i>Results:</i></b> After performing random survival forest, Lasso regression, and multivariate Cox regression model, 7 trait genes out of 272 Lck-associated DEGs are selected to create a signature model that is independent of other clinical factors and can predict OS and DSS. It appears that high-risk patients have activated the TP53 signaling pathway and the cell cycle signaling pathway. <i>LAMA3</i> turned out to be the hub gene of the signature with high expression in pancreatic cancer. Patients with increased expression of <i>LAMA3</i> had a short OS, DSS, and PFI in comparison. The candidate competing endogenous RNA network of <i>LAMA3</i> turned out to be OPI5-AS1/hsa-miR-186-5p/<i>LAMA3</i> axis. <b><i>Conclusions:</i></b> A characteristic signature of seven Lck-related genes, especially <i>LAMA3</i>, has been shown to be a key factor in clinical risk stratification for pancreatic cancer.</p>","PeriodicalId":55277,"journal":{"name":"Cancer Biotherapy and Radiopharmaceuticals","volume":" ","pages":"1-10"},"PeriodicalIF":2.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141263640","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Raddeanin A Inhibits Colorectal Cancer Growth and Ameliorates Oxaliplatin Resistance Through the WNT/β-Catenin Signaling Pathway.","authors":"Junguo Chen, Yanhong Zhang, Xijie Chen, Dandong Luo, Danlin Liu, Zhaoliang Yu, Yanyun Lin, Xiaosheng He, Juanni Huang, Lei Lian","doi":"10.1089/cbr.2024.0061","DOIUrl":"10.1089/cbr.2024.0061","url":null,"abstract":"<p><p><b><i>Background:</i></b> Chemotherapy based on oxaliplatin (OXA) is the first-line treatment for advanced colorectal cancer (CRC), and acquired resistance to OXA is the main reason for clinical treatment failure in CRC. <b><i>Methods:</i></b> To search for compounds that can reverse OXA resistance, we screened a small molecule inhibitor drug library and identified a drug, Raddeanin A (RA), that enhanced the anticancer effect of OXA. Using human CRC cell lines, CRC organoid models, and <i>in vivo</i> subcutaneous tumorigenic studies, we determined that RA inhibits the proliferation of CRC cells by promoting apoptosis and inducing cell cycle arrest. <b><i>Results:</i></b> We constructed OXA-resistant CRC cell lines and demonstrated that RA enhances the sensitivity of these cells to OXA. Further experiments showed that the mechanism by which RA enhanced the anticancer effects of OXA in CRC was by inhibiting the activation of the WNT/β-catenin signaling pathway. <b><i>Conclusions:</i></b> Because RA has been shown to be biocompatible in animal models, there is a possibility that RA could be developed as a sensitizer for resistant cancer cells or as a novel lead compound to enhance the therapeutic efficacy of OXA in resistant CRCs.</p>","PeriodicalId":55277,"journal":{"name":"Cancer Biotherapy and Radiopharmaceuticals","volume":" ","pages":"41-53"},"PeriodicalIF":2.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142711869","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"<i>SERPINH1</i> as a Novel Biomarker for Colon Cancer Bone Metastasis with Machine Learning and Immunohistochemistry Validation.","authors":"Guoping Zhao, Tianjun Song, Qingfa Qing, Huaifu Cheng, Jinmin Zhao","doi":"10.1089/cbr.2024.0162","DOIUrl":"10.1089/cbr.2024.0162","url":null,"abstract":"<p><p><b><i>Background:</i></b> Bone metastasis (BM) is a serious clinical symptom of advanced colorectal cancer. However, there is a lack of effective biomarkers for early diagnosis and treatment. <b><i>Method:</i></b> RNA-seq data from public databases (GSE49355, GSE101607) were collected and normalized and batch effects were removed using the combat package. Differential expression analysis was performed to identify significant genes. Robust Rank Aggregation and machine learning algorithms were used to pinpoint candidate biomarkers. These biomarkers were validated using immunohistochemistry and further analyzed for survival rates. Enrichment analysis was conducted to explore biological mechanisms. Additionally, drug sensitivity and immune infiltration analyses were performed to provide insights into potential therapeutic targets. <b><i>Results:</i></b> Analysis results revealed 386 genes elevated in primary versus normal tissues and 26 genes varying between primary and BM. Serpin Protease Inhibitor Clade H1 (<i>SERPINH1)</i> as a novel biomarker for colon cancer metastasis. High <i>SERPINH1</i> expression correlates with poor survival outcomes and is linked to high lymphatic invasion and advanced cancer stages. Additionally, <i>SERPINH1</i> expression influences immune infiltration and is not predictive of chemotherapy response, but potential new drugs are suggested for high-expression cases. The gene also enriches classical cancer pathways such as Hedgehog and transforming growth factor-β. <b><i>Conclusions:</i></b> We identified novel colon cancer BM markers, including <i>SERPINH1</i>, using machine learning algorithms combined with traditional transcriptomic data and validated their expression through immunohistochemistry. This biomarker could significantly assist clinicians in making more precise treatment decisions.</p>","PeriodicalId":55277,"journal":{"name":"Cancer Biotherapy and Radiopharmaceuticals","volume":" ","pages":"31-40"},"PeriodicalIF":2.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142481429","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ultrasound Genomics Reveals a Signature for Predicting Breast Cancer Prognosis and Therapy Response.","authors":"Qin Li, Bin Chen, Luz Angela Torres-de la Roche, Zimo Gong, Guilin Wang, Rui Zhuo, Rudy Leon De Wilde, Xiaopeng Chen, Wanwan Wang","doi":"10.1089/cbr.2024.0127","DOIUrl":"10.1089/cbr.2024.0127","url":null,"abstract":"<p><p><b><i>Background:</i></b> Breast cancer (BC) in women is the most common malignancy worldwide, but there is still a lack of validated tools to accurately assess patient prognosis and response to available chemotherapy treatment regimens. <b><i>Method:</i></b> We collected ultrasound images and transcriptome data of BC from our breast center and public database. Key ultrasound features were then identified by using the support vector machine (SVM) algorithm and correlated with prognostic genes. Long-term survival-related genes were identified through differential expression analysis, and a prognostic evaluation model was established by using Cox regression. In addition, <i>VPS28</i> from the model was identified as a promising biomarker for BC. <b><i>Results:</i></b> Using univariate logistic regression and SVM algorithms, we identified 12 ultrasound features significantly associated with chemotherapy response. Subsequent correlation and differential expression analyses linked 401 genes to these features, from which five key signature genes were derived using Lasso and multivariate Cox regression models. This signature not only facilitates the stratification of patients into risk-specific treatment pathways but also predicts their chemotherapy response, thus supporting personalized medicine in clinical settings. Notably, <i>VPS28</i>, in the signature, emerged as a significant biomarker, strongly associated with poor prognosis, greater tumor invasiveness, and differing expression across demographic groups. <b><i>Conclusion:</i></b> In this study, we use ultrasound genomics to reveal a signature that can provide an effective tool for prognostic assessment and predicting chemotherapy response in patients with BC.</p>","PeriodicalId":55277,"journal":{"name":"Cancer Biotherapy and Radiopharmaceuticals","volume":" ","pages":"54-61"},"PeriodicalIF":2.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142309181","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"RAC2 as a Tumor-Suppressive Biomarker Associated with T Cell Infiltration in Breast Cancer.","authors":"Yiping Xu, Yurong Cai, Youyuan Deng, Ye He, Juan Wu, Shunqiu Chang, Xuebo Yan, Jianguo Wang","doi":"10.1089/cbr.2024.0142","DOIUrl":"10.1089/cbr.2024.0142","url":null,"abstract":"<p><p><b><i>Background:</i></b> RAC2 is critical in regulating the homeostasis of hematopoietic stem cells. Nonetheless, its role in breast cancer (BC) remains unclear, necessitating further investigation. <b><i>Methods:</i></b> The expression of RAC2 in BC and healthy tissues was acquired from The Cancer Genome Atlas. Its validity was further assessed using datasets from the gene expression omnibus database. The Tumor Immune Single-cell Hub database was used to collect and analyze the single-cell RNA sequencing datasets of BC. The diagnostic relevance of RAC2 was evaluated using receiver operating characteristic curves. Further assessment was carried out via enrichment analyses; Gene Set Analysis, immune scoring, single-cell sequencing, and immunohistochemical analysis were conducted to confirm the relationship between RAC2 expression and immune infiltration. <b><i>Results:</i></b> RAC2 expression was notably heightened in BC (<i>p</i> < 0.001). It was observed that a better prognosis was linked to heightened expression of RAC2 (<i>p</i> < 0.01), with the diagnostic efficacy of the marker noted to be good (area under the curve = 0.858). We found a lower percentage of protumor immune cells and a greater proportion of antitumor immune cells in the high RAC2. Our analysis revealed alterations in gene expression and an enriched network of immune pathways influenced by RAC2. Notably, cytotoxic genes, chemokines, chemokine receptors, immunostimulators, and immunosuppressive molecules positively correlated with RAC2 expression. RAC2 expression reliably predicted how patients would respond to two different therapeutic approaches in BC. <b><i>Conclusions:</i></b> The RAC2 was found to be a key biomarker in BC in the current study, demonstrating considerable potential as a prognostic and diagnostic marker. These results highlight the RAC2 potential to improve precision medicine strategies and treatment outcomes for patients with BC.</p>","PeriodicalId":55277,"journal":{"name":"Cancer Biotherapy and Radiopharmaceuticals","volume":" ","pages":"62-77"},"PeriodicalIF":2.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142549046","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"<i>WT1</i> and <i>DNMT3A</i> Mutations in Prognostic Significance of Acute Myeloid Leukemia: A Meta-Analysis.","authors":"Shiyue Ma, Lingjian Tang, Hui Tang, Chaoli Wu, Xue Pu, Jun Yang, Ninhong Niu","doi":"10.1089/cbr.2024.0093","DOIUrl":"10.1089/cbr.2024.0093","url":null,"abstract":"<p><p><b><i>Background:</i></b> Adult acute leukemia most commonly manifests as acute myeloid leukemia (AML), a highly heterogeneous malignant tumor of the blood system. The application of genetic diagnostic technology is currently prevalent in numerous clinical sectors. According to recent research, the presence of specific gene mutations or rearrangements in leukemia cells is the primary cause of the disease. As different types of leukemia are caused by atypical mutated genes, testing for these mutations or rearrangements can help diagnose leukemia and identify the disease's molecular targets for treatment. <b><i>Methods:</i></b> Using the search fields \"<i>WT1</i>,\" \"<i>DNMT3A</i>,\" \"Acute myeloid leukemia,\" and \"survival,\" the CBM, Cochrane Library, Scopus, EMBASE, and PUBMED databases were separately reviewed. The methodology for evaluating the risk of bias developed by the Cochrane Collaboration was used in conjunction with a methodical evaluation of pertinent literature. Excluded studies with the following characteristics: (1) incomplete and repetitive publications, (2) unable to retrieve or convert data, (3) non-English or Chinese articles. <b><i>Results:</i></b> This analysis included 13 studies covering a total of 3478 subjects. The frequency of Wilms' Tumor 1 (<i>WT1</i>) mutations is 6.7%-35.73%, and the frequency of <i>DNMT3A</i> mutations is 12.06%-51.1%. The remission rate of patients with <i>WT1</i> mutations was less than that of patients without <i>WT1</i> mutations (OR = 0.22; 95% confidence interval [CI]: 0.14, 0.36; <i>p</i> < 0.00001; <i>I</i>² = 55%). The <i>DNMT3A</i> mutation has no statistical significance for the prognosis of AML (OR = 1.21; 95% CI: 0.93, 1.58; <i>p</i> = 0.16; <i>I</i>² = 80%). After removing one study, the heterogeneity of the indicator (mitigation rate) among other studies of <i>DNMT3A</i> mutation was dramatically reduced (OR = 0.63; 95% CI: 0.43, 0.93; <i>p</i> = 0.02; <i>I</i>² = 0%). <b><i>Conclusions:</i></b> Our meta-analysis shows that <i>WT1</i> mutations hurt the remission rate of AML. Moreover, the impact of <i>DNMT3A</i> mutations on AML needs to be treated with caution. Gene diagnosis is critical for the prognosis and clinical management of AML.</p>","PeriodicalId":55277,"journal":{"name":"Cancer Biotherapy and Radiopharmaceuticals","volume":" ","pages":"22-30"},"PeriodicalIF":2.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142114978","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"IL-21 and IL-33 May Be Effective Biomarkers to Predict the Efficacy of PD-1 Monoclonal Antibody for Advanced Cholangiocarcinoma.","authors":"Haijiao Yan, Qian Deng, Yu Meng, Ye Zhang, Jun Wu, Wensong Liu","doi":"10.1089/cbr.2024.0149","DOIUrl":"10.1089/cbr.2024.0149","url":null,"abstract":"<p><p><b><i>Background and Objective:</i></b> Treatment options for patients with advanced biliary tract cancer (BTC) are limited. The programmed cell death protein-1 (PD-1) inhibitors may have synergistic effects with chemotherapy. Therefore, the aim of our study was to provide real-world data on treatment outcomes in BTC patients receiving chemotherapy alone versus a combination of chemotherapy and PD-1 inhibitors. Additionally, we explored potential markers predictive of PD-1 inhibitor efficacy in this combined therapy. <b><i>Methods:</i></b> We conducted a review of patients at Changzhou First People's Hospital who received PD-1 inhibitors in combination with chemotherapy or chemotherapy alone as first-line treatment for advanced BTC. The primary endpoints of the study were progression-free survival (PFS) and overall survival (OS). Kaplan-Meier survival curves and the log-rank test were used to analyze the data. Immunohistochemistry showed the expression of interleukin-21 (IL-21), interleukin-33 (IL-33), and Eomes in the tumor tissue of patients who received PD-1 inhibitors in combination with chemotherapy. <b><i>Results:</i></b> The study enrolled 61 patients receiving PD-1 inhibitors combined with chemotherapy and 65 receiving chemotherapy alone. The median OS and PFS for patients receiving PD-1 inhibitors in combination with chemotherapy were 11.7 and 6.7 months, respectively. These durations were significantly longer than those for chemotherapy alone: OS of 10.3 months (95% CI: 0.16-0.21, <i>p</i> = 0.031) and PFS of 5.3 months (95% Confidence interval (CI) 0.25-0.32, <i>p</i> = 0.018). High IL-21 expression or low IL-33 expression in tumor tissue correlated with better response rates to chemotherapy combined with PD-1 inhibitors. <b><i>Conclusions:</i></b> Combining PD-1 inhibitors with chemotherapy shows good antitumor activity, making it an effective way to treat BTC. The expression profiles of IL-21 and IL-33 hold promise as potential markers for guiding the chemotherapy combined with immunotherapy in BTC patients.</p>","PeriodicalId":55277,"journal":{"name":"Cancer Biotherapy and Radiopharmaceuticals","volume":" ","pages":"78-88"},"PeriodicalIF":2.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143016811","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Human Biodistribution and Radiation Dosimetry of the Targeting Fibroblast Growth Factor Receptor 1-Positive Tumors Tracer [⁶⁸Ga]Ga-DOTA-FGFR1-Peptide.","authors":"Huiqing Yuan, Xiaoshan Chen, Mengmeng Zhao, Xinming Zhao, Xiaolin Chen, Jingya Han, Zhaoqi Zhang, Jingmian Zhang, Jianfang Wang, Meng Dai, Yunuan Liu","doi":"10.1089/cbr.2024.0073","DOIUrl":"10.1089/cbr.2024.0073","url":null,"abstract":"<p><p><b><i>Objective:</i></b> [⁶⁸Ga]Ga-DOTA-FGFR1-peptide is a novel positron emission tomography (PET) radiotracer targeting fibroblast growth factor receptor 1 (FGFR1). This study evaluated the safety, biodistribution, radiation dosimetry, and imaging potential of [⁶⁸Ga]Ga-DOTA-FGFR1-peptide. <b><i>Methods:</i></b> The FGFR1-targeting peptide DOTA-(PEG2)-KAEWKSLGEEAWHSK was synthesized by manual solid-phase peptide synthesis with high-performance liquid chromatography purification, and labeled with ⁶⁸Ga with DOTA as chelating agent. We recruited 14 participants and calculated the radiation dose of 4 of these pathologically confirmed nontumor subjects using OLINDA/EXM 2.2.0 software. At the same time, the imaging potential in 10 of these lung cancer patients was evaluated. <b><i>Results:</i></b> The biodistribution of [⁶⁸Ga]Ga-DOTA-FGFR1-peptide in 4 subjects showed the highest uptake in the bladder and kidney. Dosimetry analysis indicated that the bladder wall received the highest effective dose (3.73E-02 mSv/MBq), followed by the lungs (2.36E-03 mSv/MBq) and red bone marrow (2.09E-03 mSv/MBq). No normal organs were found to have excess specific absorbed doses. The average systemic effective dose was 4.97E-02 mSv/MBq. The primary and metastatic tumor lesions were clearly visible on PET/computed tomography (CT) images in 10 patients. <b><i>Conclusion:</i></b> Our results indicate that [⁶⁸Ga]Ga-DOTA-FGFR1-peptide has a good dosimetry profile and can be used safely in humans, and it has significant potential value for clinical PET/CT imaging.</p>","PeriodicalId":55277,"journal":{"name":"Cancer Biotherapy and Radiopharmaceuticals","volume":" ","pages":"712-720"},"PeriodicalIF":2.4,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141635862","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}