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26 Results Found

  • Article
  • Open Access
10 Citations
2,988 Views
18 Pages

Validation of a Mathematical Model Describing the Dynamics of Chemotherapy for Chronic Lymphocytic Leukemia In Vivo

  • Ekaterina Guzev,
  • Suchita Suryakant Jadhav,
  • Eleonora Ela Hezkiy,
  • Michael Y. Sherman,
  • Michael A. Firer and
  • Svetlana Bunimovich-Mendrazitsky

28 July 2022

In recent years, mathematical models have developed into an important tool for cancer research, combining quantitative analysis and natural processes. We have focused on Chronic Lymphocytic Leukemia (CLL), since it is one of the most common adult leu...

  • Article
  • Open Access
8 Citations
2,994 Views
17 Pages

Experimental Validation of a Mathematical Model to Describe the Drug Cytotoxicity of Leukemic Cells

  • Ekaterina Guzev,
  • Galia Luboshits,
  • Svetlana Bunimovich-Mendrazitsky and
  • Michael A. Firer

22 September 2021

Chlorambucil (Chl), Melphalan (Mel), and Cytarabine (Cyt) are recognized drugs used in the chemotherapy of patients with advanced Chronic Lymphocytic Leukemia (CLL). The optimal treatment schedule and timing of Chl, Mel, and Cyt administration remain...

  • Article
  • Open Access
3 Citations
2,688 Views
12 Pages

20 June 2022

This study presents a framework whereby cancer chemotherapy could be improved through collaboration between mathematicians and experimentalists. Following on from our recently published model, we use A20 murine leukemic cells transfected with monomer...

  • Article
  • Open Access
46 Citations
5,068 Views
18 Pages

Bio-Imaging-Based Machine Learning Algorithm for Breast Cancer Detection

  • Sadia Safdar,
  • Muhammad Rizwan,
  • Thippa Reddy Gadekallu,
  • Abdul Rehman Javed,
  • Mohammad Khalid Imam Rahmani,
  • Khurram Jawad and
  • Surbhi Bhatia

Breast cancer is one of the most widespread diseases in women worldwide. It leads to the second-largest mortality rate in women, especially in European countries. It occurs when malignant lumps that are cancerous start to grow in the breast cells. Ac...

  • Feature Paper
  • Article
  • Open Access
1,215 Views
37 Pages

11 November 2024

Cancer cells typically divide with weaker synchronisation with the circadian clock than normal cells, with the degree of decoupling increasing with tumour maturity. Chronotherapy exploits this loss of synchronisation, using drugs with circadian-clock...

  • Article
  • Open Access
14 Citations
3,124 Views
11 Pages

21 February 2023

Acquiring sufficient data is imperative to accurately predict tumor growth dynamics and effectively treat patients. The aim of this study was to investigate the number of volume measurements necessary to predict breast tumor growth dynamics using the...

  • Article
  • Open Access
1,264 Views
16 Pages

Adding Anti-HER2 Therapy to Neoadjuvant Endocrine Therapy Seems Effective in Hormone Receptor and HER2 Positive Breast Cancer Patients Unfit for Chemotherapy: A Nationwide Population-Based Cohort Study

  • Anne de Bruijn,
  • Robert-Jan Schipper,
  • Adri C. Voogd,
  • Marleen J. J. Pullens,
  • Johanne G. Bloemen,
  • Linda de Munck,
  • Yvonne E. van Riet,
  • Sabine Siesling,
  • Birgit E. P. Vriens and
  • Grard A. P. Nieuwenhuijzen

16 December 2024

Introduction: Data are lacking on the optimal neoadjuvant systemic treatment (NST) for women with hormone receptor-positive (HR+) human epidermal growth factor receptor 2-positive (HER2+) breast cancer if they are unfit to receive the combination of...

  • Article
  • Open Access
4 Citations
2,634 Views
18 Pages

A non-Markovian model of tumor cell invasion with finite velocity is proposed to describe the proliferation and migration dichotomy of cancer cells. The model considers transitions with age-dependent switching rates between three states: moving tumor...

  • Article
  • Open Access
8 Citations
2,973 Views
13 Pages

Background: Respiratory failure requiring mechanical ventilation is the major reason for lung cancer patients being admitted to the intensive care unit (ICU). Though molecular targeted therapies, especially epidermal growth factor receptor (EGFR)-tyr...

  • Article
  • Open Access
3 Citations
2,204 Views
25 Pages

Toward Cancer Chemoprevention: Mathematical Modeling of Chemically Induced Carcinogenesis and Chemoprevention

  • Dimitrios G. Boucharas,
  • Chryssa Anastasiadou,
  • Spyridon Karkabounas,
  • Efthimia Antonopoulou and
  • George Manis

Cancer, which is currently rated as the second-leading cause of mortality across the globe, is one of the most hazardous disease groups that has plagued humanity for centuries. The experiments presented here span over two decades and were conducted o...

  • Article
  • Open Access
1,676 Views
19 Pages

The tumor microenvironment is a highly dynamic and complex system where cellular interactions evolve over time, influencing tumor growth, immune response, and treatment resistance. In this study, we develop a graph-theoretic framework to model the tu...

  • Article
  • Open Access
16 Citations
5,072 Views
13 Pages

Heart Failure Association-International Cardio-Oncology Society Risk Score Validation in HER2-Positive Breast Cancer

  • Michael Cronin,
  • Aileen Crowley,
  • Matthew G. Davey,
  • Peter Ryan,
  • Mahmoud Abdelshafy,
  • Ahmed Elkoumy,
  • Hesham Elzomor,
  • Shahram Arsang-Jang,
  • Sandra Ganly and
  • Patrick Nash
  • + 7 authors

6 February 2023

Background: This paper looks to validate the risk score from the Heart Failure Association of the European Society of Cardiology and the International Cardio-Oncology Society (HFA-ICOS) for predicting potential cardiotoxicity from anticancer therapy...

  • Article
  • Open Access
11 Citations
2,887 Views
14 Pages

Is There a Correlation between Multiparametric Assessment in Ultrasound and Intrinsic Subtype of Breast Cancer?

  • Magdalena Gumowska,
  • Joanna Mączewska,
  • Piotr Prostko,
  • Katarzyna Roszkowska-Purska and
  • Katarzyna Dobruch-Sobczak

19 November 2021

Molecular profile of breast cancer provides information about its biological activity, prognosis and treatment strategies. The purpose of our study was to investigate the correlation between ultrasound features and molecular subtypes of breast cancer...

  • Article
  • Open Access
15 Citations
2,559 Views
8 Pages

Racial/Ethnic Differences and Trends in Pathologic Complete Response Following Neoadjuvant Chemotherapy for Breast Cancer

  • Sung Jun Ma,
  • Lucas M. Serra,
  • Brian Yu,
  • Mark K. Farrugia,
  • Austin J. Iovoli,
  • Han Yu,
  • Song Yao,
  • Oluwadamilola T. Oladeru and
  • Anurag K. Singh

21 January 2022

The purpose of this study was to evaluate nationwide trends in pathologic complete response (pCR) and its racial variations for breast cancer. The National Cancer Database was queried for women from 2010 to 2017 with non-metastatic breast cancer who...

  • Article
  • Open Access
5 Citations
2,395 Views
11 Pages

Effectiveness of Organized Mammography Screening for Different Breast Cancer Molecular Subtypes

  • Lilu Ding,
  • Marcel J. W. Greuter,
  • Inge Truyen,
  • Mathijs Goossens,
  • Bert Van der Vegt,
  • Harlinde De Schutter,
  • Guido Van Hal and
  • Geertruida H. de Bock

3 October 2022

Background: Screening program effectiveness is generally evaluated for breast cancer (BC) as one disease and without considering the regularity of participation, while this might have an impact on detection rate. Objectives: To evaluate the short-ter...

  • Article
  • Open Access
190 Views
13 Pages

Purpose: This study investigates receptor status changes following neoadjuvant chemotherapy (NAC) in breast cancer, aiming to identify new therapeutic opportunities and improve human epidermal growth factor receptor 2 (HER2) detection and categorizat...

  • Article
  • Open Access
346 Views
19 Pages

Early MRI-Derived Volumetric Thresholds Predict Response and Guide Personalization in HER2-Positive Breast Cancer: A Retrospective Study

  • Hao Yao,
  • Xuyang Qian,
  • Ran Zheng,
  • Xingye Sheng,
  • Jingjing Ding,
  • Mingyu Wang,
  • Xiaoming Zha,
  • Shouju Wang and
  • Jue Wang

27 November 2025

Background: Neoadjuvant systemic therapy (NST), whose primary purposes include response assessment and treatment individualization, is a key strategy in the treatment of HER2-positive breast cancer. This study investigated the predictive value of the...

  • Article
  • Open Access
36 Citations
6,366 Views
12 Pages

Machine Learning and Feature Selection Methods for EGFR Mutation Status Prediction in Lung Cancer

  • Joana Morgado,
  • Tania Pereira,
  • Francisco Silva,
  • Cláudia Freitas,
  • Eduardo Negrão,
  • Beatriz Flor de Lima,
  • Miguel Correia da Silva,
  • António J. Madureira,
  • Isabel Ramos and
  • Venceslau Hespanhol
  • + 3 authors

6 April 2021

The evolution of personalized medicine has changed the therapeutic strategy from classical chemotherapy and radiotherapy to a genetic modification targeted therapy, and although biopsy is the traditional method to genetically characterize lung cancer...

  • Article
  • Open Access
1 Citations
1,090 Views
17 Pages

Background: The pan-immune inflammation value (PIV) has unclear predictive utility for pathologic complete response (pCR) in breast cancer patients undergoing neoadjuvant chemotherapy (NAC). This study aimed to evaluate the PIV’s predictive val...

  • Article
  • Open Access
91 Citations
17,540 Views
18 Pages

A skin lesion is a portion of skin that observes abnormal growth compared to other areas of the skin. The ISIC 2018 lesion dataset has seven classes. A miniature dataset version of it is also available with only two classes: malignant and benign. Mal...

  • Article
  • Open Access
11 Citations
4,130 Views
12 Pages

Histologic Grade Is Predictive of Incidence of Epidermal Growth Factor Receptor Mutations in Metastatic Lung Adenocarcinoma

  • Michelle Levy,
  • Liisa Lyon,
  • Erika Barbero,
  • John Wong,
  • Jennifer Marie Suga,
  • Danny Sam and
  • Minggui Pan

11 December 2017

Activating epidermal growth factor receptor (EGFR) mutations in metastatic non-small cell lung cancer (NSCLC) are associated with a high response rate to EGFR tyrosine kinase inhibitor (TKI). The current guidelines recommend routine EGFR mutational a...

  • Article
  • Open Access
6 Citations
2,805 Views
13 Pages

Association of Carbonic Anhydrase 9 Polymorphism and the Epithelial Growth Factor Receptor Mutations in Lung Adenocarcinoma Patients

  • Ya-Yen Yu,
  • Hui-Ling Chiou,
  • Shih-Ming Tsao,
  • Chen-Cheng Huang,
  • Chih-Yun Lin,
  • Chia-Yi Lee,
  • Thomas Chang-Yao Tsao,
  • Shun-Fa Yang and
  • Yi-Wen Huang

Carbonic anhydrase 9 (CA9) plays a vital role in lung cancer progression. The current study explored the effect of CA9 gene polymorphisms and the epidermal growth factor receptor (EGFR) mutations on the clinicopathological characters of lung adenocar...

  • Article
  • Open Access
2 Citations
1,702 Views
15 Pages

Predictive Value of Circulatory Total VEGF-A and VEGF-A Isoforms for the Efficacy of Anti-PD-1/PD-L1 Antibodies in Patients with Non-Small-Cell Lung Cancer

  • Tetsu Hirakawa,
  • Kakuhiro Yamaguchi,
  • Kunihiko Funaishi,
  • Kiyofumi Shimoji,
  • Shinjiro Sakamoto,
  • Yasushi Horimasu,
  • Takeshi Masuda,
  • Taku Nakashima,
  • Hiroshi Iwamoto and
  • Hironobu Hamada
  • + 2 authors

7 February 2025

Background/Objectives: Vascular endothelial growth factor (VEGF)-A promotes an immunosuppressive tumor microenvironment, potentially affecting the efficacy of anti-programmed cell death 1 (PD-1)/programmed cell death ligand 1 (PD-L1) antibody therapy...

  • Article
  • Open Access
14 Citations
3,341 Views
15 Pages

Polymorphisms in the Angiogenesis-Related Genes EFNB2, MMP2 and JAG1 Are Associated with Survival of Colorectal Cancer Patients

  • Dominique Scherer,
  • Heike Deutelmoser,
  • Yesilda Balavarca,
  • Reka Toth,
  • Nina Habermann,
  • Katharina Buck,
  • Elisabeth Johanna Kap,
  • Akke Botma,
  • Petra Seibold and
  • Lina Jansen
  • + 9 authors

An individual’s inherited genetic variation may contribute to the ‘angiogenic switch’, which is essential for blood supply and tumor growth of microscopic and macroscopic tumors. Polymorphisms in angiogenesis-related genes potential...

  • Article
  • Open Access
1 Citations
1,630 Views
15 Pages

Could Radiomic Signature on Chest CT Predict Epidermal Growth Factor Receptor Mutation in Non-Small-Cell Lung Cancer?

  • Ayten Kayi Cangir,
  • Elif Berna Köksoy,
  • Kaan Orhan,
  • Hilal Özakinci,
  • Ayşegül Gürsoy Çoruh,
  • Esra Gümüştepe,
  • Yusuf Kahya,
  • Farrukh İbrahimov,
  • Emre Utkan Büyükceran and
  • Serap Akyürek
  • + 1 author

14 October 2024

Background: Detecting molecular drivers is crucial in the management of non-small-cell lung cancer (NSCLC). This study aimed to evaluate the use of pretreatment chest computed tomography (CT) radiomics features for predicting epidermal growth factor...

  • Article
  • Open Access
8 Citations
3,193 Views
12 Pages

2 March 2023

Background and Objectives: Cervical cancer (CC) is a malignant tumor occurring in the cervical epithelium, which is one of the most common cancer-caused deaths in females. Inhibin β A (INHBA) is the most widely expressed biomarker of the transfo...