scholarly journals Characterizing the Anticancer Treatment Trajectory and Pattern in Patients Receiving Chemotherapy for Cancer Using Harmonized Observational Databases: Retrospective Study (Preprint)

2020 ◽  
Author(s):  
Rae Woong Park ◽  
Hokyun Jeon ◽  
Seng Chan You ◽  
Seok Yun Kang ◽  
Seung In Seo ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Treatment ◽  
Chemotherapy Regimen ◽  
Research Network ◽  
Common Data Model ◽  
Claims Database ◽  
Clinical Events ◽  
Real World Evidence ◽  
Standard Chemotherapy Regimen ◽  
Anticancer Treatment

BACKGROUND Accurate and rapid clinical decisions based on real-world evidence are essential for patients with cancer. However, the complexity of chemotherapy regimens for cancer impedes retrospective research on observational health databases. OBJECTIVE To compare the anticancer treatment trajectories and patterns of clinical events according to regimen type using the chemotherapy episodes determined by the algorithm. METHODS We developed an algorithm to extract the regimen-level abstracted chemotherapy episodes from medication records in a conventional Observational Medical Outcomes Partnership (OMOP) common data model (CDM) database. The algorithm was validated on the Ajou University School Of Medicine (AUSOM) database by manual review of clinical notes. Using the algorithm, we extracted episodes of chemotherapy from patients in the EHR database and the claims database. We also developed an application software that visualizing the chemotherapy treatment patterns based on the treatment episodes in the OMOP-CDM database. Using this software, we generated the trends in type of the regimen used in the institutions, the patterns of the iterative chemotherapy use, and the trajectories of cancer treatment in two of EHR based OMOP-CDM database. The time of onset of chemotherapy-induced neutropenia according to regimen was measured as a pilot study using the AUSOM database. The anti-cancer treatment trajectories for patients with COVID-19 were also visualized based on the nationwide claims database. RESULTS We generated 178,360 treatment episodes for patients with colorectal, breast, and lung cancer for 85 different regimens. The algorithm precisely identified the type of chemotherapy regimen in 300 patients (positive predictive value: 100%). The trends in the use of routine clinical chemotherapy regimen from 2008 to 2018 were identified for 8,236 patients. In a total of 12 regimens, the number of repeated treatments, which held the largest proportion of patients, was concordant with the protocols for certain cases in wiki for standard chemotherapy regimen. Moreover, the anticancer treatment trajectories for 8,315 patients were shown, including 62 patients with COVID-19. A comparative analysis of neutropenia showed that its onset in colorectal cancer regimens tended to cluster in days 9 to 15, whereas it tended to be clustered in days 2 to 8 for certain regimens for breast cancer or lung cancer. CONCLUSIONS We propose a method for generating chemotherapy episodes for introduction into the oncology extension module of the OMOP-CDM databases. The proof-of-concept studies demonstrated the usability, scalability, and interoperability of the proposed framework through a distributed research network.

First-, second- and third-line lung cancer treatment patterns and associated costs in a US healthcare claims database

2015 ◽  
Vol 4 (3) ◽  
pp. 131-143 ◽  
Author(s):  
Scott Ramsey ◽  
Henry J Henk ◽  
Gregory L Smith ◽  
Josephine Sollano ◽  
Connie Chen
Keyword(s):  
Lung Cancer ◽  
Cancer Treatment ◽  
Treatment Patterns ◽  
Claims Database ◽  
Lung Cancer Treatment ◽  
Third Line

Design of Lamivudine Loaded Nanoparticles for Oral Application by Nano Spray Drying Method: A New Approach to use an Antiretroviral Drug for Lung Cancer Treatment

2020 ◽  
Vol 23 (10) ◽  
pp. 1064-1079
Author(s):  
Ahmet Alper Öztürk ◽  
İrem Namlı ◽  
Kadri Güleç ◽  
Şennur Görgülü
Keyword(s):  
Lung Cancer ◽  
Cancer Treatment ◽  
Anticancer Activity ◽  
Cell Line ◽  
Anticancer Drugs ◽  
Release Kinetics ◽  
Prolonged Release ◽  
Lung Cancer Treatment ◽  
Anticancer Properties ◽  
Ft Ir

Aims: To prepare lamivudine (LAM)-loaded-nanoparticles (NPs) that can be used in lung cancer treatment. To change the antiviral indication of LAM to anticancer. Background: The development of anticancer drugs is a difficult process. One approach to accelerate the availability of drugs is to reclassify drugs approved for other conditions as anticancer. The most common route of administration of anticancer drugs is intravenous injection. Oral administration of anticancer drugs may considerably change current treatment modalities of chemotherapy and improve the life quality of cancer patients. There is also a potentially significant economic advantage. Objective: To characterize the LAM-loaded-NPs and examine the anticancer activity. Methods: LAM-loaded-NPs were prepared using Nano Spray-Dryer. Properties of NPs were elucidated by particle size (PS), polydispersity index (PDI), zeta potential (ZP), SEM, encapsulation efficiency (EE%), dissolution, release kinetics, DSC and FT-IR. Then, the anticancer activity of all NPs was examined. Results: The PS values of the LAM-loaded-NPs were between 373 and 486 nm. All NPs prepared have spherical structure and positive ZP. EE% was in a range of 61-79%. NPs showed prolonged release and the release kinetics fitted to the Weibull model. NPs structures were clarified by DSC and FT-IR analysis. The results showed that the properties of NPs were directly related to the drug:polymer ratio of feed solution. NPs have potential anticancer properties against A549 cell line at low concentrations and non-toxic to CCD 19-Lu cell line. Conclusion: NPs have potential anticancer properties against human lung adenocarcinoma cells and may induce cell death effectively and be a potent modality to treat this type of cancer. These experiments also indicate that our formulations are non-toxic to normal cells. It is clear that this study would bring a new perspective to cancer therapy.

New lung cancer treatment strategy with molecular target of PKCeta

Impact ◽  
2019 ◽  
Vol 2019 (8) ◽  
pp. 56-58
Author(s):  
Motoi Ohba
Keyword(s):  
Lung Cancer ◽  
Cancer Treatment ◽  
Lung Carcinoma ◽  
Small Cell Lung Carcinoma ◽  
Growth Factor Receptor ◽  
Small Cell ◽  
Surgical Removal ◽  
Small Cell Lung ◽  
Cell Lung Carcinoma ◽  
Nucleotide Mutation

Lung cancer is one of the most prevalent and lethal forms of the disease accounting for almost 20 per cent of all deaths from cancer. It is therefore the leading cause of cancer death in men and second most fatal in women. There are between 1.5 and 2 million new cases of cancer globally every year. A similar number die from the disease annually. There are two forms of lung cancer – small-cell lung carcinoma (SCLC) and non-small-cell lung carcinoma (NSCLC). SCLC is the more aggressive form being faster growing and more metastatic, however it also responds more effectively to treatments such as chemotherapy. NSCLC is the more common form of the disease, accounting for 85 per cent of cases. They develop more slowly than SCLCs, however they are largely unresponsive to chemotherapy and require precise surgical removal. Both present a huge medical problem in terms of diagnosis and treatment. Due to its far higher prevalence, NSCLC is the most studied of the two forms. A chemotherapeutic treatment has been developed that targets the epidermal growth factor receptor (EGFR). EGFR is majorly upregulated in most cases and plays a key role in the tumour's growth and survival. The treatment blocks the receptor and is usually very effective in the first instances. However, it is typically unable to clear the cancer as a single nucleotide mutation is capable of rendering the inhibitor unable to act on the receptor. Therefore, the cancer returns and continues to develop. New treatments are also required. This is the work of Dr Motoi Ohba of the Advanced Cancer Translational Research Institute, Showa University, Japan. His work is aimed at both uncovering novel targets for cancer treatment and finding and developing molecules that could effectively manipulate these targets.

scholarly journals Prolonged SARS-CoV-2-RNA Detection from Nasopharyngeal Swabs in an Oncologic Patient: What Impact on Cancer Treatment?

2021 ◽  
Vol 28 (1) ◽  
pp. 847-852
Author(s):  
Anna Ferrari ◽  
Marco Trevenzoli ◽  
Lolita Sasset ◽  
Elisabetta Di Liso ◽  
Toni Tavian ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Treatment ◽  
Cancer Patients ◽  
Clinical Symptoms ◽  
Palliative Radiotherapy ◽  
Rt Pcr ◽  
Cancer Treatments ◽  
Global Challenge ◽  
Viral Culture ◽  
Pcr Assays

The pandemic of SARS-CoV-2 is a serious global challenge affecting millions of people worldwide. Cancer patients are at risk for infection exposure and serious complications. A prompt diagnosis of SARS-CoV-2 infection is crucial for the timely adoption of isolation measures and the appropriate management of cancer treatments. In lung cancer patients the symptoms of infection 19 may resemble those exhibited by the underlying oncologic condition, possibly leading to diagnostic overlap and delays. Moreover, cancer patients might display a prolonged positivity of nasopharyngeal RT-PCR assays for SARS-CoV-2, causing long interruptions or delay of cancer treatments. However, the association between the positivity of RT-PCR assays and the patient’s infectivity remains uncertain. We describe the case of a patient with non-small cell lung cancer, and a severe ab extrinseco compression of the trachea, whose palliative radiotherapy was delayed because of the prolonged positivity of nasopharyngeal swabs for SARS-CoV-2. The patient did not show clinical symptoms suggestive of active infection, but the persistent positivity of RT-PCR assays imposed the continuation of isolation measures and the delay of radiotherapy for over two months. Finally, the negative result of SARS-CoV-2 viral culture allowed us to verify the absence of viral activity and to rule out the infectivity of the patient, who could finally continue her cancer treatment.

scholarly journals Potential of Thai Herbal Extracts on Lung Cancer Treatment by Inducing Apoptosis and Synergizing Chemotherapy

Molecules ◽  
2020 ◽  
Vol 25 (1) ◽  
pp. 231 ◽  
Author(s):  
Juthathip Poofery ◽  
Patompong Khaw-on ◽  
Subhawat Subhawa ◽  
Bungorn Sripanidkulchai ◽  
Apichat Tantraworasin ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Ethyl Acetate ◽  
Cancer Treatment ◽  
Apoptotic Cell ◽  
Primary Lung Cancer ◽  
A549 Cells ◽  
Cancer Cell Line ◽  
Ethanolic Extract ◽  
Lung Cancer Cell Line ◽  
Lung Cancer Treatment

The incidence of lung cancer has increased while the mortality rate has continued to remain high. Effective treatment of this disease is the key to survival. Therefore, this study is a necessity in continuing research into new effective treatments. In this study we determined the effects of three different Thai herbs on lung cancer. Bridelia ovata, Croton oblongifolius, and Erythrophleum succirubrum were extracted by ethyl acetate and 50% ethanol. The cytotoxicity was tested with A549 lung cancer cell line. We found four effective extracts that exhibited toxic effects on A549 cells. These extracts included ethyl acetate extracts of B. ovata (BEA), C. oblongifolius (CEA), and E. succirubrum (EEA), and an ethanolic extract of E. succirubrum (EE). Moreover, these effective extracts were tested in combination with chemotherapeutic drugs. An effective synergism of these treatments was found specifically through a combination of BEA with methotrexate, EE with methotrexate, and EE with etoposide. Apoptotic cell death was induced in A549 cells by these effective extracts via the mitochondria-mediated pathway. Additionally, we established primary lung cancer and normal epithelial cells from lung tissue of lung cancer patients. The cytotoxicity results showed that EE had significant potential to be used for lung cancer treatment. In conclusion, the four effective extracts possessed anticancer effects on lung cancer. The most effective extract was found to be E. succirubrum (EE).

scholarly journals Line of therapy and patient preferences regarding lung cancer treatment: a discrete-choice experiment

2021 ◽  
Vol 37 (4) ◽  
pp. 643-653
Author(s):  
Sarah Janse ◽  
Ellen Janssen ◽  
Tanya Huwig ◽  
Upal Basu Roy ◽  
Andrea Ferris ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Treatment ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Patient Preferences ◽  
Choice Experiment ◽  
Lung Cancer Treatment ◽  
Line Of Therapy
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