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1.
Int J Mol Sci ; 25(13)2024 Jun 21.
Article in English | MEDLINE | ID: mdl-38999940

ABSTRACT

Hepatocellular carcinoma (HCC) is the sixth most prevalent cancer and a significant global health burden, with increasing incidence rates and limited treatment options. Immunotherapy has become a promising approach due to its ability to affect the immune microenvironment and promote antitumor responses. The immune microenvironment performs an essential role in both the progression and the development of HCC, with different characteristics based on specific immune cells and etiological factors. Immune checkpoint inhibitors, including programmed death-1/programmed death-ligand 1 inhibitors (pembrolizumab, nivolumab, and durvalumab) and cytotoxic T lymphocyte antigen-4 inhibitors (tremelimumab and ipilimumab), have the potential to treat advanced HCC and overcome adverse effects, such as liver failure and chemoresistance. Phase II and phase III clinical trials highlight the efficacy of pembrolizumab and nivolumab, respectively, in advanced HCC patients, as demonstrated by their positive effects on overall survival and progression-free survival. Tremelimumab has exhibited modest response rates, though it does possess antiviral activity. Thus, it is still being investigated in ongoing clinical trials. Combination therapies with multiple drugs have demonstrated potential benefits in terms of survival and tumor response rates, improving patient outcomes compared to monotherapy, especially for advanced-stage HCC. This review addresses the clinical trials of immunotherapies for early-, intermediate-, and advanced-stage HCC. Additionally, it highlights how combination therapy can significantly enhance overall survival, progression-free survival, and objective response rate in advanced-stage HCC, where treatment options are limited.


Subject(s)
Carcinoma, Hepatocellular , Immunotherapy , Liver Neoplasms , Humans , Carcinoma, Hepatocellular/therapy , Carcinoma, Hepatocellular/immunology , Carcinoma, Hepatocellular/drug therapy , Liver Neoplasms/therapy , Liver Neoplasms/immunology , Liver Neoplasms/drug therapy , Immunotherapy/methods , Immune Checkpoint Inhibitors/therapeutic use , Combined Modality Therapy , Tumor Microenvironment/drug effects , Tumor Microenvironment/immunology
2.
Viruses ; 16(4)2024 03 27.
Article in English | MEDLINE | ID: mdl-38675855

ABSTRACT

The foot-and-mouth disease virus is a highly contagious and economically devastating virus of cloven-hooved animals, including cattle, buffalo, sheep, and goats, causing reduced animal productivity and posing international trade restrictions. For decades, chemically inactivated vaccines have been serving as the most effective strategy for the management of foot-and-mouth disease. Inactivated vaccines are commercially produced in cell culture systems, which require successful propagation and adaptation of field isolates, demanding a high cost and laborious time. Cell culture adaptation is chiefly indebted to amino acid substitutions in surface-exposed capsid proteins, altering the necessity of RGD-dependent receptors to heparan sulfate macromolecules for virus binding. Several amino acid substations in VP1, VP2, and VP3 capsid proteins of FMDV, both at structural and functional levels, have been characterized previously. This literature review combines frequently reported amino acid substitutions in virus capsid proteins, their critical roles in virus adaptation, and functional characterization of the substitutions. Furthermore, this data can facilitate molecular virologists to develop new vaccine strains against the foot-and-mouth disease virus, revolutionizing vaccinology via reverse genetic engineering and synthetic biology.


Subject(s)
Amino Acid Substitution , Capsid Proteins , Foot-and-Mouth Disease Virus , Viral Tropism , Animals , Capsid Proteins/genetics , Capsid Proteins/metabolism , Capsid Proteins/chemistry , Cell Culture Techniques , Foot-and-Mouth Disease/virology , Foot-and-Mouth Disease Virus/genetics , Foot-and-Mouth Disease Virus/metabolism , Receptors, Virus/metabolism , Receptors, Virus/genetics , Viral Structural Proteins/genetics , Viral Structural Proteins/metabolism
3.
J Pak Med Assoc ; 70(Suppl 1)(2): S110-S112, 2020 Feb.
Article in English | MEDLINE | ID: mdl-31981348

ABSTRACT

Tracheal stenosis is rare but a recognized complication after traumatic injury or prolonged intubation. We assessed the time lag between onset of indication for tracheal reconstruction surgery following trauma and actual surgical intervention. We reviewed our operative records for all patients undergoing tracheal reconstruction over the past 10 years. Files were reviewed retrospectively to collect all the relevant data. Surgically all patients were operated via cervical approach. Series 12 cases were identified with an equal split between external trauma and iatrogenic tracheal trauma from prolonged intubation. On, an average patients presented 185 days after initial indication of surgery however there was a wide range of time lag which leads to the importance of early diagnosis of such injuries to reduce delay of definitive management.


Subject(s)
Plastic Surgery Procedures/methods , Time-to-Treatment/statistics & numerical data , Trachea/injuries , Tracheal Stenosis/surgery , Adult , Aged , Female , Humans , Intubation, Intratracheal/adverse effects , Male , Middle Aged , Tracheal Stenosis/etiology , Wounds, Nonpenetrating/complications , Wounds, Nonpenetrating/surgery , Wounds, Penetrating/complications , Wounds, Penetrating/surgery , Young Adult
4.
Sensors (Basel) ; 18(12)2018 Nov 25.
Article in English | MEDLINE | ID: mdl-30477277

ABSTRACT

Clustering is the most common method for organizing unlabeled data into its natural groups (called clusters), based on similarity (in some sense or another) among data objects. The Partitioning Around Medoids (PAM) algorithm belongs to the partitioning-based methods of clustering widely used for objects categorization, image analysis, bioinformatics and data compression, but due to its high time complexity, the PAM algorithm cannot be used with large datasets or in any embedded or real-time application. In this work, we propose a simple and scalable parallel architecture for the PAM algorithm to reduce its running time. This architecture can easily be implemented either on a multi-core processor system to deal with big data or on a reconfigurable hardware platform, such as FPGA and MPSoCs, which makes it suitable for real-time clustering applications. Our proposed model partitions data equally among multiple processing cores. Each core executes the same sequence of tasks simultaneously on its respective data subset and shares intermediate results with other cores to produce results. Experiments show that the computational complexity of the PAM algorithm is reduced exponentially as we increase the number of cores working in parallel. It is also observed that the speedup graph of our proposed model becomes more linear with the increase in number of data points and as the clusters become more uniform. The results also demonstrate that the proposed architecture produces the same results as the actual PAM algorithm, but with reduced computational complexity.


Subject(s)
Algorithms , Cluster Analysis , Computational Biology/statistics & numerical data , Image Processing, Computer-Assisted/statistics & numerical data , Computers
5.
Article in Chinese | WPRIM (Western Pacific) | ID: wpr-672481

ABSTRACT

Objective: To document the recent livestock related practices and possible unhygienic ways of pathogen entry. Identification of the potential risk factors for the spread of infection is important to design an evidence-based disease control programme. Methods:Rapid assessment method was adopted and a purposive sample of 60 dairy farmers were interviewed. The following factors were noted for contributing in primary and secondary transmission of zoonotic infections: (i) persons who come in close contact with animals and their secretions, (ii) management strategies of farm animals (sheds and environment), (iii) management practices adopted at farms, (iv) small scale farmers and rural livestock production systems, (v) milk collection systems. Results:This research unveiled the certain routes of zoonotic disease transmission. Certain management practices, precautionary measures and strategies were the pivotal risk factors. Conclusions:The study emphasizes the need to educate the poor livestock keepers.

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