{"title":"Correction: rhIL-7-hyFc, a long-acting interleukin-7, improves efficacy of CAR-T cell therapy in solid tumors.","authors":"","doi":"10.1136/jitc-2024-008989corr1","DOIUrl":"10.1136/jitc-2024-008989corr1","url":null,"abstract":"","PeriodicalId":14820,"journal":{"name":"Journal for Immunotherapy of Cancer","volume":"13 3","pages":""},"PeriodicalIF":10.3,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11883531/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143567149","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Seohyun Cho, Seung Hee Choi, Eunchong Maeng, Hail Park, Ki Seo Ryu, Kyung-Soon Park
{"title":"Boosting tumor homing of endogenous natural killer cells via therapeutic secretomes of chemically primed natural killer cells.","authors":"Seohyun Cho, Seung Hee Choi, Eunchong Maeng, Hail Park, Ki Seo Ryu, Kyung-Soon Park","doi":"10.1136/jitc-2024-010371","DOIUrl":"10.1136/jitc-2024-010371","url":null,"abstract":"<p><strong>Background: </strong>Natural killer (NK) cells play a critical role in modulating immune responses by secreting soluble factors, including chemotactic cytokines. Our previous study demonstrated the potent antitumor activity of Chem_NK, referring to NK cells chemically primed with 25 kDa branched polyethyleneimine. However, the potential of Chem_NK secretomes to educate other NK cells and enhance their tumor-homing ability remains unexplored.</p><p><strong>Methods: </strong>The effects of Chem_NK conditioned media (Chem CM) on NK cells were evaluated in vitro by examining chemokine receptor expression and migration toward cancer cells. In vivo, the impact of Chem_NK and Chem CM on endogenous NK cell populations was assessed using xenograft and syngeneic mouse tumor models. Cytokine array and signaling analyses were performed to identify factors secreted by Chem_NK and their role in activating recipient NK cells.</p><p><strong>Results: </strong>Chem CM effectively educated NK cells in vitro, enhancing chemokine receptor expression and improving their migration toward cancer cells. In vivo, adoptively transferred Chem_NK increased endogenous NK cell populations within xenograft tumors. Furthermore, direct injection of Chem CM into a syngeneic mouse tumor model significantly promoted endogenous NK cell infiltration into tumors and suppressed lung metastasis. Cytokine analysis revealed that Chem_NK secreted high levels of cytokines, which activated ERK1/2 signaling in recipient NK cells, leading to upregulation of chemokine receptors.</p><p><strong>Conclusions: </strong>Chem_NK secretomes effectively enhance the tumor-homing ability of NK cells and amplify antitumor efficacy by educating other NK cells. These findings offer novel insights into activated NK cell-mediated immune communication and highlight the therapeutic potential of NK cell-derived secretomes in cancer therapy.</p>","PeriodicalId":14820,"journal":{"name":"Journal for Immunotherapy of Cancer","volume":"13 3","pages":""},"PeriodicalIF":10.3,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11883546/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143567105","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Shichao Long, Mengsi Li, Juan Chen, Linhui Zhong, Ganmian Dai, Deng Pan, Wenguang Liu, Feng Yi, Yue Ruan, Bocheng Zou, Xiong Chen, Kai Fu, Wenzheng Li
{"title":"Transfer learning radiomic model predicts intratumoral tertiary lymphoid structures in hepatocellular carcinoma: a multicenter study.","authors":"Shichao Long, Mengsi Li, Juan Chen, Linhui Zhong, Ganmian Dai, Deng Pan, Wenguang Liu, Feng Yi, Yue Ruan, Bocheng Zou, Xiong Chen, Kai Fu, Wenzheng Li","doi":"10.1136/jitc-2024-011126","DOIUrl":"10.1136/jitc-2024-011126","url":null,"abstract":"<p><strong>Background: </strong>Intratumoral tertiary lymphoid structures (iTLS) in hepatocellular carcinoma (HCC) are associated with improved survival and may influence treatment decisions. However, their non-invasive detection remains challenging in HCC. We aim to develop a non-invasive model using baseline contrast-enhanced MRI to predict the iTLS status.</p><p><strong>Methods: </strong>A total of 660 patients with HCC who underwent surgery were retrospectively recruited from four centers between October 2015 and January 2023 and divided into training, internal test, and external validation sets. After features dimensionality and selection, corresponding features were used to construct transfer learning radiomic (TLR) models for diagnosing iTLS, and model interpretability was explored with pathway analysis in The Cancer Genome Atlas-Liver HCC. The performances of models were assessed using the area under the receiver operating characteristic curve (AUC). The log-rank test was used to evaluate the prognostic value of the TLR model. The combination therapy set of 101 patients with advanced HCC treated with first-line anti-programmed death 1 or ligand 1 plus antiangiogenic treatment between January 2021 and January 2024 was used to investigate the value of the TLR model for evaluating the treatment response.</p><p><strong>Results: </strong>The presence of iTLS was identified in 46.0% (n=308) patients. The TLR model demonstrated excellent performance in predicting the presence of iTLS in training (AUC=0.91, 95% CI: 0.87, 0.94), internal test (AUC=0.85, 95% CI: 0.77, 0.93) and external validation set (AUC=0.85, 95% CI: 0.81, 0.90). The TLR model-predicted iTLS group has favorable overall survival (HR=0.66; 95% CI: 0.48, 0.90; p=0.007) and relapse-free survival (HR=0.64; 95% CI: 0.48, 0.85; p=0.001) in the external validation set. The model-predicted iTLS status was associated with inflammatory response and specific tumor-associated signaling activation (all p<0.001). The proportion of treatment responders was significantly higher in the model-predicted group with iTLS than in the group without iTLS (36% vs 13.73%, p=0.009).</p><p><strong>Conclusion: </strong>The TLR model has indicated accurate prediction of iTLS status, which may assist in the risk stratification for patients with HCC in clinical practice.</p>","PeriodicalId":14820,"journal":{"name":"Journal for Immunotherapy of Cancer","volume":"13 3","pages":""},"PeriodicalIF":10.3,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11881188/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143556946","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Amin H Nassar, Sarah Abou Alaiwi, Talal El Zarif, Ryan Denu, Walid Macaron, Noha Abdel-Wahab, Dory Freeman, Alexi Vasbinder, Salim Hayeck, Elizabeth Anderson, Rachel S Goodman, Douglas B Johnson, Shirly Grynberg, Ronnie Shapira, Jennifer M Kwan, Rachel Woodford, Georgina V Long, Tarek Haykal, Susan Dent, Yuki Kojima, Kan Yonemor, Ankita Tandon, Alexandra Trevino, Nausheen Akhter, Eric H Yang, Gavin Hui, Alexandra Drakaki, Edward El-Am, Elie Kozaily, Ahmad Al-Hader, Elias Bou Farhat, Priyanka Babu, Arjun Mittra, Mingjia Li, Nicholas Jones, Javier Baena, Mercedes Juarez Herrera, Simone Foderaro, Frank Aboubakar Nana, Chul Kim, Paul Sackstein, Kaushal Parikh, Aakash P Desai, Caleb Smith, Alessio Cortellini, David J Pinato, James Korolewicz, Nerea Lopetegui-Lia, Pauline Funchain, Arrush Choudhary, Aarti Asnani, Vishal Navani, Daniel Meyers, Igor Stukalin, Jesus Antonio Ocejo Gallegos, Jonathan Trent, Sanober Nusrat, Carmel Malvar, Rana R McKay, Tomas G Neilan, Toni K Choueiri, Abdul Rafeh Naqash
{"title":"Safety and efficacy of immune checkpoint therapy for the treatment of patients with cardiac metastasis: a multicenter international retrospective study.","authors":"Amin H Nassar, Sarah Abou Alaiwi, Talal El Zarif, Ryan Denu, Walid Macaron, Noha Abdel-Wahab, Dory Freeman, Alexi Vasbinder, Salim Hayeck, Elizabeth Anderson, Rachel S Goodman, Douglas B Johnson, Shirly Grynberg, Ronnie Shapira, Jennifer M Kwan, Rachel Woodford, Georgina V Long, Tarek Haykal, Susan Dent, Yuki Kojima, Kan Yonemor, Ankita Tandon, Alexandra Trevino, Nausheen Akhter, Eric H Yang, Gavin Hui, Alexandra Drakaki, Edward El-Am, Elie Kozaily, Ahmad Al-Hader, Elias Bou Farhat, Priyanka Babu, Arjun Mittra, Mingjia Li, Nicholas Jones, Javier Baena, Mercedes Juarez Herrera, Simone Foderaro, Frank Aboubakar Nana, Chul Kim, Paul Sackstein, Kaushal Parikh, Aakash P Desai, Caleb Smith, Alessio Cortellini, David J Pinato, James Korolewicz, Nerea Lopetegui-Lia, Pauline Funchain, Arrush Choudhary, Aarti Asnani, Vishal Navani, Daniel Meyers, Igor Stukalin, Jesus Antonio Ocejo Gallegos, Jonathan Trent, Sanober Nusrat, Carmel Malvar, Rana R McKay, Tomas G Neilan, Toni K Choueiri, Abdul Rafeh Naqash","doi":"10.1136/jitc-2024-009364","DOIUrl":"10.1136/jitc-2024-009364","url":null,"abstract":"<p><strong>Background: </strong>Data on the safety profiles and clinical outcomes of patients with solid tumors and cardiac metastasis treated with immune checkpoint inhibitors (ICIs) are limited.</p><p><strong>Methods: </strong>This is an international multicenter retrospective study of patients with cancer and cardiac metastasis at baseline. Patients who had received ≥1 dose of ICI were included. Treatment-related adverse events (trAEs) were graded per Common Terminology Criteria for Adverse Event V.5.0. Objective response rates (ORR) were evaluated by Response Evaluation Criteria in Solid Tumors V.1.1 when available. Overall survival (OS) and progression-free survival (PFS) were estimated by the Kaplan-Meier method.</p><p><strong>Results: </strong>Among 110 pts, median age at ICI initiation was 65 (IQR: 59-75). Median follow-up time since ICI initiation was 36 (95% CI: 26 to 51) months. Melanoma (38%, n=42) and non-small cell lung cancer (24%, n=26) were the most common. 68 (62%) patients received ICIs as first-line, and 29 (26%) patients were treated with combination anti-programmed death-1 and anti-cytotoxic T-lymphocyte antigen 4. The most common location of cardiac metastasis was in the atria (37%, n=41) and ventricles (35%, n=39). 15 patients (13.6%) had bilateral cardiac/pericardial metastasis, 44 (40%) had left-sided, and 43 (39.8%) had right-sided. At ICI initiation, 21% (n=23) had a cardiac thrombus. Cardiology referrals and cardiac MRIs at the time of cancer diagnosis were completed on 58 (53%) and 52 (47%) patients, respectively. Cardiac events occurred in 40 (36%) patients, including arrhythmias (n=14, 13%), arterial/venous emboli (n=4, 3.6%), and cardiac tamponade (n=3, 2.7%). 53 (47%) patients developed trAEs; most common were colitis/diarrhea (n=16, 15%), dermatitis (n=13, 12%), and hepatitis (n=9, 8.2%). ICI-related major cardiac trAEs occurred in 2 (1.8%) patients. 22 patients (20%) developed grade ≥3 trAE. Patients with multiple cardiac metastases had significantly lower responses to ICI-based regimens compared with patients with single cardiac metastasis (11% vs 63%, p=0.02). For melanoma, ORR, median PFS, and median OS were 38%, 9.0 months, and 28.9 months, respectively. 83% of patients with melanoma had concordant responses in overall disease burden and cardiac disease. 91 patients discontinued ICIs, and the main reason was progression or death in 55 (49%) patients.</p><p><strong>Conclusions: </strong>Among patients with pre-existing cardiac metastasis, ICIs demonstrated meaningful clinical efficacy with no increase in safety signals. Most patients had concordant responses in the overall disease burden and cardiac mass. Multidisciplinary teams are crucial for the appropriate management of patients with cardiac metastasis.</p>","PeriodicalId":14820,"journal":{"name":"Journal for Immunotherapy of Cancer","volume":"13 3","pages":""},"PeriodicalIF":10.3,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11877189/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143541688","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Vitalay Fomin, WeiQing Venus So, Richard Alex Barbieri, Kenley Hiller-Bittrolff, Elina Koletou, Tiffany Tu, Bruno Gomes, James Cai, Jehad Charo
{"title":"Machine learning identifies clinical tumor mutation landscape pathways of resistance to checkpoint inhibitor therapy in NSCLC.","authors":"Vitalay Fomin, WeiQing Venus So, Richard Alex Barbieri, Kenley Hiller-Bittrolff, Elina Koletou, Tiffany Tu, Bruno Gomes, James Cai, Jehad Charo","doi":"10.1136/jitc-2024-009092","DOIUrl":"10.1136/jitc-2024-009092","url":null,"abstract":"<p><strong>Background: </strong>Immune checkpoint inhibitors (CPIs) have revolutionized cancer therapy for several tumor indications. However, a substantial fraction of patients treated with CPIs derive no benefit or have short-lived responses to CPI therapy. Identifying patients who are most likely to benefit from CPIs and deciphering resistance mechanisms is therefore essential for developing adjunct treatments that can abrogate tumor resistance.</p><p><strong>Patients and methods: </strong>In this study, we used a machine learning approach that used the US-based nationwide de-identified Flatiron Health and Foundation Medicine non-small cell lung carcinoma (NSCLC) clinico-genomic database to identify genomic markers that predict clinical responses to CPI therapy. In total, we analyzed data from 4,433 patients with NSCLC.</p><p><strong>Results: </strong>Analysis of pretreatment genomic data from 1,511 patients with NSCLC identified. Of the 36 genomic signatures identified, 33 exhibited strong predictive capacity for CPI response (n=1150) compared with chemotherapy response (n=361), while three signatures were prognostic. These 36 genetic signatures had in common a core set of four genes (<i>BRAF, BRIP1, FGF10, and FLT1</i>). Interestingly, we observed that some (n=19) of the genes in the signatures (eg, <i>TP53, EZH2, KEAP1</i> and <i>FGFR2</i>) had alternative mutations with contrasting clinical outcomes to CPI therapy. Finally, the genetic signatures revealed multiple biological pathways involved in CPI response, including <i>MAPK, PDGF, IL-6</i> and <i>EGFR</i> signaling.</p><p><strong>Conclusions: </strong>In summary, we found several genomic markers and pathways that provide insight into biological mechanisms affecting response to CPI therapy. The analyses identified novel targets and biomarkers that have the potential to provide candidates for combination therapies or patient enrichment strategies, which could increase response rates to CPI therapy in patients with NSCLC.</p>","PeriodicalId":14820,"journal":{"name":"Journal for Immunotherapy of Cancer","volume":"13 3","pages":""},"PeriodicalIF":10.3,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11877243/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143541499","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Berna C Özdemir, Ruben Bill, Alper Okyar, Christoph Scheiermann, Stefanie Hayoz, Timothée Olivier
{"title":"Chrono-immunotherapy as a low-hanging fruit for cancer treatment? A call for pragmatic randomized clinical trials.","authors":"Berna C Özdemir, Ruben Bill, Alper Okyar, Christoph Scheiermann, Stefanie Hayoz, Timothée Olivier","doi":"10.1136/jitc-2024-010644","DOIUrl":"10.1136/jitc-2024-010644","url":null,"abstract":"<p><p>The share of immune checkpoint inhibitors (ICIs) used in cancer treatment has rapidly increased in recent years. Although ICIs have the potential to provide a durable survival benefit in a subset of patients, many patients do not respond to these costly and often toxic therapies.Recent retrospective clinical data indicate that the time of day of ICI infusion may be a powerful modulator of their efficacy. These observational studies suggest an enhanced efficacy of morning over evening infusion. However, randomized trials have not confirmed in other fields findings obtained by observational studies, possibly because of selection bias and residual confounding factors. Thus, while the data are intriguing, the time dependence of the efficacy of immunotherapy needs to be confirmed in pragmatic randomized clinical trials. Here, we provide an overview of the modulation of ICI efficacy by the timing of immunotherapy infusion and critically discuss the biological rationale for chrono-immunotherapy, the circadian regulation of the immune system, and the need for pragmatic randomized clinical trials to confirm an effect of the timing of immunotherapy infusions on patient outcomes.</p>","PeriodicalId":14820,"journal":{"name":"Journal for Immunotherapy of Cancer","volume":"13 3","pages":""},"PeriodicalIF":10.3,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11877229/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143541375","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Correction: Tumor mutational burden and survival on immune checkpoint inhibition in >8000 patients across 24 cancer types.","authors":"","doi":"10.1136/jitc-2024-010311corr1","DOIUrl":"10.1136/jitc-2024-010311corr1","url":null,"abstract":"","PeriodicalId":14820,"journal":{"name":"Journal for Immunotherapy of Cancer","volume":"13 3","pages":""},"PeriodicalIF":10.3,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11877150/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143541418","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hyung-Don Kim, Seyoung Jung, Yeong Hak Bang, Jiae Kim, Hee Jeong Kim, Hyung Eun Lee, Jaewon Hyung, Changhoon Yoo, Won-Tae Kim, Myeong-Jin Yoon, Hayoung Lee, Jeong-Hyun Ryou, Hyungsu Jeon, Hideyuki Yanai, Jeong Seok Lee, Gwanghee Lee, Min-Hee Ryu
{"title":"Blood TCTP as a potential biomarker associated with immunosuppressive features and poor clinical outcomes in metastatic gastric cancer.","authors":"Hyung-Don Kim, Seyoung Jung, Yeong Hak Bang, Jiae Kim, Hee Jeong Kim, Hyung Eun Lee, Jaewon Hyung, Changhoon Yoo, Won-Tae Kim, Myeong-Jin Yoon, Hayoung Lee, Jeong-Hyun Ryou, Hyungsu Jeon, Hideyuki Yanai, Jeong Seok Lee, Gwanghee Lee, Min-Hee Ryu","doi":"10.1136/jitc-2024-010455","DOIUrl":"10.1136/jitc-2024-010455","url":null,"abstract":"<p><strong>Background: </strong>No established biomarker exists for specific myeloid cell populations or in gastric cancer. This study aimed to explore the prognostic and immunological relevance of plasma translationally controlled tumor protein (TCTP) in patients with advanced gastric cancer treated with an immune checkpoint inhibitor and/or cytotoxic chemotherapy.</p><p><strong>Methods: </strong>Plasma samples were prospectively collected from the cohorts of patients with gastric cancer treated with first-line fluoropyrimidine plus platinum chemotherapy (n=143, cohort 1) and third-line nivolumab (n=165, cohort 2). Plasma TCTP levels were quantified using ELISA, and multiplex proteomic analysis (Olink) was conducted to assess expression levels of immune-related proteins. External single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics datasets were employed to validate the findings.</p><p><strong>Results: </strong>Patients with high plasma TCTP levels (TCTP-high group) exhibited poor progression-free survival (PFS) and overall survival (OS) with first-line chemotherapy compared with those with low levels (TCTP-low group) in cohort 1 (HR: 1.73 for PFS; 1.77 for OS). In the TCTP-high group, proteins associated with immunosuppressive myeloid cells, angiogenesis, and immune exclusion of T/natural killer (NK) cell function were upregulated, whereas proteins involved in T-cell activation/exhaustion were significantly upregulated in the TCTP-low group. scRNA-seq analyses identified a myeloid subset with high <i>TPT1</i> (encoding TCTP) expression and TCTP-related molecules, enriched with inhibitory myeloid inflammation gene signatures and providing inhibitory signals to T/NK cells (Macrophage-chemokine). Spatial transcriptomics analyses revealed a tumor-cell-enriched cluster co-localized with the Macrophage-chemokine subset, which exhibited the highest <i>TPT1</i> expression and a positive correlation between its abundance and average <i>TPT1</i> levels. In nivolumab-treated patients (cohort 2), the high TCTP group was associated with poor survival outcomes (HR: 1.39 for PFS; 1.47 for OS).</p><p><strong>Conclusions: </strong>Plasma TCTP is a prognostic biomarker, reflecting clinically relevant immunosuppressive myeloid signals in patients with gastric cancer.</p>","PeriodicalId":14820,"journal":{"name":"Journal for Immunotherapy of Cancer","volume":"13 3","pages":""},"PeriodicalIF":10.3,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11877152/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143541294","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Modulating TNFα Activity to Address Cytokine Related Toxicity.","authors":"Pinar Ataca Atilla, Erden Atilla","doi":"10.1136/jitc-2025-011724","DOIUrl":"10.1136/jitc-2025-011724","url":null,"abstract":"","PeriodicalId":14820,"journal":{"name":"Journal for Immunotherapy of Cancer","volume":"13 2","pages":""},"PeriodicalIF":10.3,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11873351/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143531388","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Letter to the editor: radiomics signature for dynamic monitoring of tumor-inflamed microenvironment and immunotherapy response prediction.","authors":"Yuhao Dong, Shuixing Zhang","doi":"10.1136/jitc-2025-011778","DOIUrl":"10.1136/jitc-2025-011778","url":null,"abstract":"<p><p>We read with great interest the article by Bernatowicz <i>et al</i> Despite the promising findings, we would like to highlight several concerns regarding the methodology and interpretation of the results that warrant further discussion, including the stability of radiomic features across pan-cancer types, the optimal threshold for CT-TIME (tumor immune microenvironment) scores, the biological interpretability of radiomic models, and the survival tail effect of immunotherapy responses.</p>","PeriodicalId":14820,"journal":{"name":"Journal for Immunotherapy of Cancer","volume":"13 2","pages":""},"PeriodicalIF":10.3,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11873337/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143531385","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}