预约演示
更新于：2025-05-16
Racotumomab
更新于：2025-05-16
概要
基本信息
权益机构- |
最高研发阶段批准上市 |
首次获批日期 古巴 (2013-06-23), |
最高研发阶段(中国)- |
特殊审评- |
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结构/序列
Sequence Code 9931003L
来源: *****
Sequence Code 9931020H
来源: *****
关联
10
项与 Racotumomab 相关的临床试验RPCEC00000279
Identification of potential predictors and surrogates for the selection of patients who may benefit from the use of Racotumomab, as switch maintenance therapy, in patients with non-small cell lung cancer, stages IIIA, IIIB and IV.
RPCEC00000207
Open randomized controlled clinical trial in patients with non-small cell lung cancer, stage IB, II and IIIA, treated or not with VAXIRA®, after surgery and adjuvant cisplatin-based chemotherapy
RPCEC00000206
Open, single-center,clinical trial with racotumomab-alum vaccine in pediatric patients diagnosed with neuroblastoma, Ewing sarcoma or nephroblastoma.
100 项与 Racotumomab 相关的临床结果
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100 项与 Racotumomab 相关的转化医学
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100 项与 Racotumomab 相关的专利（医药）
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60
项与 Racotumomab 相关的文献（医药）2021-03-01Archives of Razi Institute
The Rapid Development and Early Success of Covid 19 Vaccines Have Raised Hopes for Accelerating the Cancer Treatment Mechanism.
作者: Amanpour, S
The Covid-19 pandemic has brought about rapid change in medical science. The production of new generation vaccines for this disease has surprised even their most optimistic supporters. Not only have these vaccines proven to be effective, but the importance of this disease and pandemic situation also significantly shortened the long-standing process of validating such products. Vaccination is a type of immunotherapy. Researchers have long been looking at vaccines as a possible treatment for cancer (Geynisman et al., 2014). In the same way that vaccines work against infectious diseases, attempts are being made to develop vaccines to identify specific proteins on cancer cells. This helps the immune system recognize and attack cancer cells. Cancer vaccines may help: I) Prevent the growth of cancer cells (Bialkowski et al., 2016), II) Prevent recurrence of cancer (Stanton and Disis, 2015), III) Destroy cancer cells left over from other treatments. The following types of cancer vaccines are being studied: Antigen Vaccines. These vaccines are made from specific proteins or antigens of cancerous cells. Their purpose is to stimulate the immune system to attack cancer cells (Tagliamonte et al., 2014). Whole-Cell Vaccines. A whole-cell vaccine uses the entire cancer cell, not just a specific molecule (antigen), to generate the vaccine. (Keenan and Jaffee, 2012).Dendritic Cell Vaccines. Dendritic cells help the immune system identify abnormal cells, such as cancerous cells. Dendritic cells are grown with cancer cells in the laboratory to produce the vaccine. The vaccine then stimulates the immune system to attack cancer. (Wang et al., 2014; Mastelic-Gavillet et al., 2019). DNA Vaccines. These vaccines are made from DNA fragments of cancer cells. They can be injected into the body to facilitate immune system cells can better respond and kill cancer cells (Gatti-Mays et al., 2017).Other Types of Cancer Vaccines. such as Anti idiotype vaccines. This vaccine stimulates the body to generate antibodies against cancerous cells. An example of an anti-idiotype antibody is Racotumomab or Vaxira (Cancer, 2016). However, conditions and considerations after Corona does not seem to be the same as before. The current pandemic situation has also led to major changes in the pharmaceutical and Vaccine production process and international protocols. Some of the most critical issues that can accelerate the introduction of cancer vaccines are: 1. Typical drug and vaccine development timeline. A typical vaccine needs 5 to 10 years and sometimes longer to design secure funding, and get approval (Figure 1). Less than 10 percent of new drugs, which are entered in the different phases of clinical trials, are advanced to approval by the Food and Drug Administration (FDA)(Cancer, 2020a). However, now the situation is not normal. Dozens of Covid 19 vaccines are starting clinical trials. Some of them use RNA and DNA technology, which delivers the body with missions to produce its antibodies against the virus. There are already at least 254 therapies and 95 vaccines related to Covid-19 being explored. However, it seems that the experiences gained in this pandemic, and advances in technology, may be effective in shortening the production path of other vaccines and drugs and the process of its approval at the national and international levels in the future. In Figure 2, the time course of production of conventional vaccines in comparison with Covid 19 vaccines (Cancer, 2020b) is shown.2. The introduction of messenger RNA (mRNA) technology into the field of prevention and treatment. Over the past decades, this technology has been considered an excellent alternative to conventional vaccination methods. Proper potency and low side effects, the possibility of fast production and relatively low production cost are its advantages. However, until recently, the instability of this molecule has been a major problem in its application. This research was started many years ago by two companies that played a significant role in developing the first Covid vaccines, so BioNTech and Moderna were able to quickly transfer their experience in the field of Covid vaccine development (Pardi et al., 2018; Moderna, 2020). Figure 3 shows how mRNA vaccines work. Bout Pfizer – BioNTech and Moderna mRNA vaccines were more than 90 % effective in preclinical stages. Millions of doses of these two vaccines are currently being injected into eligible individuals worldwide. 3. Considering the use of artificial intelligence in assessing the effectiveness of vaccines. There are always doubts about the effectiveness of the new drug in treating the disease. Once the vaccine is widely available, we will know more about its effectiveness versus it works under carefully controlled scientific testing conditions. Vaccines will continue to be monitored after use. The data collected helps professionals understand how they work in different groups of people (depending on factors such as age, ethnicity, and people with different health conditions) and also the length of protection provided by the vaccine. Artificial intelligence (AI) is an emerging field, which reaches everywhere and not only as a beneficial industrial tool but also as a practical tool in medical science and plays a crucial role in developing the computation vision, risk assessment, diagnostic, prognostic, etc. models in the field of medicine (Amisha et al., 2019). According to the wide range of AI applications in the analysis of different types of data, it can be used in vaccine production, safety assessments, clinical and preclinical studies and Covid 19 vaccines adverse reactions (CDC, 2019). Indeed, most cancer vaccines are therapeutic, rather than prophylactic, and seek to stimulate cell-mediated responses, such as those from CTLs, capable of clearing or reducing tumor burden. There are currently FDA-approved products for helping cancer treatment such as BREYANZI, TECARTUS and YESCARTA for lymphoma, IMLYGIC for melanoma, KYMRIAH for acute lymphoblastic leukemia, and PROVENGE for prostate cancer. Over the past decade, most of BioNTech's activities have been in the field of cancer vaccine design and production for melanoma (two clinical trials), breast cancer (one clinical trial), and the rest concerning viral and veterinary vaccines (two clinical trials). Also Maderno company has been working on Individualized cancer vaccines (one clinical trials), and vaccines for viral infections such as Zika and Influenza and veterinary vaccines (several clinical trials) (Pardi et al., 2018). Therefore, it can be said, mRNA technology that has been the subject of much research into the treatment of cancer has been shifted and rapidly used to produce and use the Covid 19 vaccine. The current pandemic situation has necessitated the acceleration of Covid 19 vaccines and drugs and national and international protocols for their approval. If the currently produced vaccines can continue to be as successful as the preclinical and early phase studies, these changes and evolution have raised hopes for accelerating the use of these technologies and mechanisms in the field of cancer and other diseases vaccines, including HIV and influenza.
2020-06-29Journal of oncology4区 · 医学
Prognostic Significance of Tumor Tissue NeuGcGM3 Ganglioside Expression in Patients Receiving Racotumomab Immunotherapy
4区 · 医学
ArticleOA
作者: Aydıncer, Cenk ; Baloglu, Huseyin ; Dogan, Ender ; Uskent, Necdet ; Berk, Barkın ; Yergok, Hale ; Yazar, Aziz ; Ayla, Sule ; Molinas Mandel, Nil ; Ozkan, Metin ; Teomete, Mehmet
Expression of N-glycolyl GM3 (NeuGcGM3) ganglioside was detected in the tumor specimens of patients who were on Racotumomab anti-idiotype vaccine maintenance treatment, and prognostic significance as a biomarker was investigated. No statistically significant association was observed in the multivariate analysis between overall survival and tissue NeuGcGM3 IHC levels. Although numerically there was a difference favoring less intense IHC for better prognosis, this did not reach statistical power. However, there was a strong correlation between Racotumomab doses and overall survival (OS). Mean OS of the patient with more than 10 Racotumomab application was significantly longer than the patient who had less than 10 injections (70.7 months vs. 31.1 months, p < 0.001
2019-10-01Applied microbiology and biotechnology3区 · 工程技术
Identification of three linear B cell epitopes against non-structural protein 3ABC of FMDV using monoclonal antibodies
3区 · 工程技术
Article
作者: Zhang, Yongguang ; Liu, Wei ; Chen, Danian ; Shao, Junjun ; Chang, Yanyan ; Chang, Huiyun
Foot-and-mouth disease virus (FMDV) has led to serious losses in the farming industry worldwide, particularly in cattle and swine. In developing countries, the control and eradication of FMD rely upon vaccination, in which the inactivated vaccine is predominant. In the preparation of inactivated vaccine, a series of purification methods were used to remove non-structural proteins (NSPs). It is necessary to develop a quantitative detection method of residual NSP and confirm a threshold value for the evaluation of the vaccine. Meanwhile, it is also important to develop a sensitive and rapid diagnostic method to distinguish infected animals from vaccinated animals (DIVA). In this study, three monoclonal antibodies (MAbs) against NSP 3ABC, designated 2G5, 9E2, and 1E10, were used. Subsequently, a series of overlapping peptides were expressed using a prokaryotic expression system to determine the minimal epitopes identified by the MAbs. Three linear B cell epitopes (BCEs), "92EYIEKA97" "23EGPYAGPLE31" and "209EPHH212", were identified by MAbs 2G5, 9E2, and 1E10, respectively. Alanine-scanning mutagenesis analysis confirmed the critical amino acid in these epitopes. The epitope "92EYIEKA97" is located in 3A, which is deleted in some natural deletion mutants that result in a change in virus tropism. MAb 9E2 that identified the epitope "23EGPYAGPLE31" reacted with 3B1 and 3B2, but did not react with 3B3. In combination with sequence alignment analysis, the epitope "23EGPYAGPLE31" is highly conserved among different FMDV isolates. Preliminary screening using the known positive and negative sera indicated the MAb 9E2 has the potential for the development of a diagnostic method for DIVA. The residual NSP in inactivated vaccines can be detected using 9E2-HRP, which indicated the MAb 9E2 is able to evaluate inactivated vaccines. The four-amino acid epitope is the first reported to date that is recognized by 1E10. These results provide valuable insight into the diagnosis of DIVA and the NSP residual evaluation in inactivated vaccines.
4
项与 Racotumomab 相关的新闻（医药）2023-12-13
·今日头条
临床3期疫苗临床结果免疫疗法放射疗法
2023-12-04
·赛柏蓝
2023-08-07
·药明康德
基因疗法临床结果临床1期临床2期
100 项与 Racotumomab 相关的药物交易
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外链
| KEGG | Wiki | ATC | Drug Bank |
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| - | Racotumomab |
研发状态
批准上市
10 条最早获批的记录, 后查看更多信息
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| 适应症 | 国家/地区 | 公司 | 日期 |
|---|---|---|---|
| 非小细胞肺癌 | 古巴 | 2013-06-23 |
未上市
10 条进展最快的记录, 后查看更多信息
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| 适应症 | 最高研发状态 | 国家/地区 | 公司 | 日期 |
|---|---|---|---|---|
| 晚期非小细胞肺癌 | 临床3期 | 阿根廷 | 2010-09-01 | |
| 晚期非小细胞肺癌 | 临床3期 | 阿根廷 | 2010-09-01 | |
| 晚期非小细胞肺癌 | 临床3期 | 巴西 | 2010-09-01 | |
| 晚期非小细胞肺癌 | 临床3期 | 巴西 | 2010-09-01 | |
| 晚期非小细胞肺癌 | 临床3期 | 古巴 | 2010-09-01 | |
| 晚期非小细胞肺癌 | 临床3期 | 古巴 | 2010-09-01 | |
| 晚期非小细胞肺癌 | 临床3期 | 印尼 | 2010-09-01 | |
| 晚期非小细胞肺癌 | 临床3期 | 印尼 | 2010-09-01 | |
| 晚期非小细胞肺癌 | 临床3期 | 菲律宾 | 2010-09-01 | |
| 晚期非小细胞肺癌 | 临床3期 | 菲律宾 | 2010-09-01 |
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临床结果
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临床3期 | 晚期非小细胞肺癌 二线 | 维持 | 743 | 艱積範範廠鏇築鏇鬱顧(顧衊鏇簾鑰積窪築繭簾) = 範壓餘簾鹹餘淵鏇鏇網 網範範簾鬱構襯鑰獵選 (艱襯鹽鑰壓膚觸顧憲築, 3.7 ~ 5.9) | 不佳 | 2018-10-20 | ||
艱積範範廠鏇築鏇鬱顧(顧衊鏇簾鑰積窪築繭簾) = 鑰遞窪鹹鬱鑰廠範獵壓 網範範簾鬱構襯鑰獵選 (艱襯鹽鑰壓膚觸顧憲築, 4.0 ~ 5.3) | |||||||
N/A | 晚期非小细胞肺癌 辅助 | 12 | 糧獵糧衊鏇繭餘觸選膚(淵衊壓範齋積簾襯構鹽) = 膚鹽選夢齋襯淵顧鬱願 鹽鹽繭壓鏇膚構鑰鑰衊 (餘夢夢築齋觸憲艱獵選, 8 ~ 21) | - | 2017-10-16 | ||
N/A | - | 180 | 夢鹽獵積膚鏇艱網選齋(遞鏇廠淵齋餘願鏇範鏇) = 積構鹽膚鏇觸憲簾遞構 壓簾艱遞獵蓋醖齋壓蓋 (襯夢糧廠願壓築餘鏇艱 ) 更多 | 积极 | 2013-05-20 | ||
(Control group) | 夢鹽獵積膚鏇艱網選齋(遞鏇廠淵齋餘願鏇範鏇) = 鏇壓鬱網鏇膚顧繭鹽蓋 壓簾艱遞獵蓋醖齋壓蓋 (襯夢糧廠願壓築餘鏇艱 ) 更多 |
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