Efficacy analysis and prediction in phase II clinical trials of non-small cell Lung Cancer

Efficacy analysis and prediction in phase II clinical trials of non-small cell Lung Cancer

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Pharmacy, 2023.

Xehetasun bibliografikoak
Egile nagusia:	Hoque, Ismoth Ara
Beste egile batzuk:	Azam, Faruque
Formatua:	Thesis
Hizkuntza:	English
Argitaratua:	Brac University 2024
Gaiak:	Lung cancer PFS ORR NSCLC subtypes Lungs > Cancer Clinical trials > Statistical methods
Sarrera elektronikoa:	http://hdl.handle.net/10361/23164

Antzeko izenburuak

Effect of performance status on efficacy endpoints in phase II trials of non-small cell lung cancer
nork: Paul, Pulock
Argitaratua: (2024)

Impact of treatment size and therapy type in phase II clinical trials of non-small cell lung cancer
nork: Rahman, Tasnim
Argitaratua: (2024)

Pooled analysis of response rate and overall survival of Tyrosine Kinase inhibitor combinations in phase II clinical trials of non-small cell lung cancer
nork: Karim, Samia Binte
Argitaratua: (2024)

Efficacy analysis of tyrosine kinase inhibitor combinations in phase II clinical trials of non-small cell lung cancer
nork: Flora, Sanzida Alam
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Molecules associated with the development of lung cancer
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Argitaratua: (2023)

Protein biomarkers for Lung Cancer: a bioinformatic approach
nork: Jeba, Joynob
Argitaratua: (2017)

Computational insights into molecular docking strategies for non-small cell lung cancer drug discovery
nork: Das, Reshita
Argitaratua: (2024)

A review on targeted therapies for lung cancer
nork: Ashraf, Anushey
Argitaratua: (2023)

Recent developments in the Adeno-Associated Viral Gene Therapy for Non-Small Cell Lung Cancer during the past 20 years
nork: Razna, Amrin Islam
Argitaratua: (2019)

Potential of liposomes for the treatment of lung cancer- a review
nork: Mim, Shanzida
Argitaratua: (2023)

Targeted treatment in patients with non-small cell lung cancer: Use of Bevacizumab and its Biosimilars
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Argitaratua: (2023)

Bioinformatics analyses of key regulators of NF-κB pathway in relation with small cell lung carcinoma
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Argitaratua: (2024)

A review on recent advances in drugs for lung cancer treatment
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Argitaratua: (2018)

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Argitaratua: (2018)

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Argitaratua: (2021)

Immunotherapy in the Management of Lung Cancer
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Argitaratua: (2022)

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Argitaratua: (2023)

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Argitaratua: (2016)

Lung cancer immunosuppression and therapeutic targeting of myeloid- derived suppressor cells
nork: Nandy, Aditi
Argitaratua: (2022)

Pooled analysis of progression-free survival and overall survival in phase II clinical trials of breast cancer
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Argitaratua: (2024)

Genetic innovations for breast cancer treatment : a review of gene therapy strategies and future implications
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Argitaratua: (2024)

Comparative efficacy of Sorafenib, and Lenvatinib in Hepatocellular Carcinoma: a meta-analysis
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Argitaratua: (2024)

A review on the potential of repurposing of metformin for colon cancer and breast cancer
nork: Oishy, Jannatun Noor
Argitaratua: (2024)

Tuberculosis associates with both airflow obstruction and low lung function: BOLD results
nork: F. S. Amaral, André, et al.
Argitaratua: (2017)

A comparative study of lung cancer prediction using deep learning
nork: Mugdho, Aka Mohammad, et al.
Argitaratua: (2023)

Semantic segmentation with attention dense U-net for lung extraction from X-ray images
nork: Auvy, Akib Al Mahmud, et al.
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Evaluation of genetics of cancer predisposition in patients and efficacy of various chemotherapeutic drugs in Bangladesh
nork: Hossain, Safa Binte
Argitaratua: (2019)

Deep 3D convolutional neural network in early detection of Lung cancer
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Statistics and informatics in molecular cancer research

Smart biomedical device to predict lung diseases, COVID-19 and diabetes by using machine learning algorithms
nork: Hossain, Ashraful, et al.
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An examination of therapeutic synergy: a comprehensive meta-analysis comparing the efficacy of TAS-102 and FOLFOX as a combination therapy for colon cancer
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Machine learning as an indicator for breast cancer prediction
nork: Shadman, Tahsin Mohammed, et al.
Argitaratua: (2019)

The uses of bacteria in cancer therapy
nork: Saha, Shimul, et al.
Argitaratua: (2021)

Cancer risk factors: a critical review
nork: Tabassum, Tahsina
Argitaratua: (2017)

Survey on patients undergoing treatments for cervical, endometrial and ovarian cancer
nork: Nawar, Anika
Argitaratua: (2019)

Safety and efficacy of cisplatin combinations with vinorelbine, paclitaxel and gemcitabine – a systematic review and meta-analysis
nork: Islam, Inaya
Argitaratua: (2024)

Comparing effectiveness and safety of combination therapy for esophageal and gastro esophageal junction cancer: a comprehensive meta-analysis
nork: Abir, Shifaty Nur
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Targeting BRAFV600E in the treatment of CRC
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Role of statins as antagonists of SPARC in gastric cancer
nork: Shahmat, Rad
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