Kazuo Umezawa^*, Andrzej Breborowicz^†, Shamil Gantsev^‡

Oncology Research, Vol.28, No.5, pp. 541-550, 2020, DOI:10.3727/096504020X15929100013698

Abstract There have been great advances in the therapy of cancer and leukemia. However, there are still many neoplastic diseases that are difficult to treat. For example, it is often difficult to find effective therapies for aggressive cancer and leukemia. An NF- B inhibitor named dehydroxymethylepoxyquinomicin (DHMEQ) was discovered in 2000. This compound was designed based on the structure of epoxyquinomicin isolated from a microorganism. It was shown to be a specific inhibitor that directly binds to and inactivates NF- B components. Until now, DHMEQ has been used by many scientists in the world to suppress… More >

Jean-Claude Ferrandez^1,*, Pierre-Henri Ganchou², Serge Theys³, Maria Torres-Lacomba⁴, Daniel Serin¹

Oncologie, Vol.24, No.1, pp. 25-33, 2022, DOI:10.32604/oncologie.2022.018110

Abstract Le lymphœdème du membre supérieur est une séquelle du traitement des cancers du sein. Le traitement physique des lymphœdèmes est recommandé par la Société internationale de lymphologie. Il associe drainage lymphatique manuel et bandages de décongestion. Le drainage lymphatique manuel a fait l’objet de critiques quant à son effi- cacité. Or depuis son invention dans les années 1930, de très nombreuses techniques s’intitulent « drainage lymphatique manuel ». Les auteurs distinguent l’efficacité de ces différentes techniques en fonction des données de la physiologie lymphatique et de la démonstration de ses effets basée sur les faits. More >

Elsa Maitre, Xavier Troussard^*

Oncologie, Vol.24, No.1, pp. 3-24, 2022, DOI:10.32604/oncologie.2022.021490

Abstract La leucémie à tricholeucocytes (LT) représente 2% de l’ensemble des leucémies. Le diagnostic repose sur la présence dans le sang et/ou la moelle de tricholeucocytes: cellules lymphoïdes B au cytoplasme chevelu exprimant le CD103, CD123, CD11c et CD25. La mutation BRAF^V600E, marqueur moléculaire de la maladie, est présente dans plus de 80% des cas. La LT doit être distinguée des autres syndromes lymphoprolifératifs chroniques B, notamment des autres proliférations à cellules chevelues, forme variante de la leucémie à tricholeucocytes (LT-V) et lymphome splé- nique diffus de la pulpe rouge (LSDPR). Des progrès thérapeutiques ont été récemment… More >

R. Kavitha^1,*, N. Viswanathan²

Intelligent Automation & Soft Computing, Vol.33, No.2, pp. 1305-1320, 2022, DOI:10.32604/iasc.2022.022816

Abstract Bone marrow cancer is considered to be the most complex and dangerous disease which results due to an uncontrolled growth of white blood cells called leukocytes. Acute Lymphoblastic Leukemia (ALL) and Multiple Myeloma (MM) are considered to be important categories of bone cancers, which induces a larger number of cancer cells in the bone marrow, results in preventing the production of healthy blood cells. The advent of Artificial Intelligence, especially machine and deep learning, has expanded humanity’s capacity to analyze and detect these increasingly complex diseases. But, accurate detection of cancer cells and reducing the… More >

G. Sriram¹, T. R. Ganesh Babu², R. Praveena^2,*, J. V. Anand³

Molecular & Cellular Biomechanics, Vol.19, No.1, pp. 29-40, 2022, DOI:10.32604/mcb.2022.016966

Abstract Leukemoid reaction like leukemia indicates noticeable increased count of WBCs (White Blood Cells) but the cause of it is due to severe inflammation or infections in other body regions. In automatic diagnosis in classifying leukemia and leukemoid reactions, ALL IDB2 (Acute Lymphoblastic Leukemia-Image Data Base) dataset has been used which comprises 110 training images of blast cells and healthy cells. This paper aimed at an automatic process to distinguish leukemia and leukemoid reactions from blood smear images using Machine Learning. Initially, automatic detection and counting of WBC is done to identify leukocytosis and then an… More >

Xiaodan He, Jingshi Wang, Zhao Wang^*

Oncologie, Vol.23, No.4, pp. 559-567, 2021, DOI:10.32604/oncologie.2021.018647

Abstract Despite extensive work-ups, some patients have been diagnosed with hemophagocytic lymphohistiocytosis (HLH) of unknown etiology. For HLH of unknown etiology, to investigate the clinical features and the factors that may affect the prognosis, we retrospectively reviewed the medical records of 94 patients hospitalized from January 2014 to December 2019. Survival times were evaluated until April 2020. For the 94 patients, the underlying causes of their diseases remained unclear at the end of the follow-up period, and the 1-, 3-, and 6-month survival rates, and the overall survival (OS) rates were 86.2%, 78.7%, 73.4%, and 70.2%,… More >

Sunil Kr. Jha^1,*, Zulfiqar Ahmad²

CMES-Computer Modeling in Engineering & Sciences, Vol.129, No.2, pp. 567-594, 2021, DOI:10.32604/cmes.2021.016817

Abstract Health care data mining is noteworthy in disease diagnosis and recognition procedures. There exist several potentials to further improve the performance of machine learning based-classification methods in healthcare data analysis. The selection of a substantial subset of features is one of the feasible approaches to achieve improved recognition results of classification methods in disease diagnosis prediction. In the present study, a novel combined approach of feature generation using latent semantic analysis (LSA) and selection using ranker search (RAS) has been proposed to improve the performance of classification methods in lymph disease diagnosis prediction. The performance… More >

Jiangyong Liu^1,#,*, Mingming Gu^2,#, Yang Xue¹, Qiong Wang³, Yong Ren³, Wencai Huang^1,*

Oncologie, Vol.23, No.3, pp. 439-452, 2021, DOI:10.32604/oncologie.2021.017220

Abstract Cavitary lung cancer is a rare type of lung cancer. Generally, the relationship between cavitary lung adenocarcinoma (LUAD) and specific immune checkpoints remains unknown. In this study, we aimed to detect the expression of programmed cell death ligand-1(PD-L1) and the density of CD8-positive (CD8⁺) tumor-infiltrating lymphocytes (TILs) to evaluate their clinicopathological significance in the case of patients with cavitary LUAD. This study included 65 patients with cavitary LUAD. Patient specimens were obtained from surgery. The expression of PD-L1 protein and CD8⁺ TIL status was detected by traditional immunohistochemistry and multiplex quantitative immunofluorescence technology. The correlation of… More >

Schahrazad Soltane^*, Sameer Alsharif , Salwa M.Serag Eldin

Computer Systems Science and Engineering, Vol.40, No.2, pp. 629-644, 2022, DOI:10.32604/csse.2022.019333

Abstract Current cancer diagnosis procedure requires expert knowledge and is time-consuming, which raises the need to build an accurate diagnosis support system for lymphoma identification and classification. Many studies have shown promising results using Machine Learning and, recently, Deep Learning to detect malignancy in cancer cells. However, the diversity and complexity of the morphological structure of lymphoma make it a challenging classification problem. In literature, many attempts were made to classify up to four simple types of lymphoma. This paper presents an approach using a reliable model capable of diagnosing seven different categories of rare and… More >

K. Muthumayil¹, S. Manikandan², S. Srinivasan³, José Escorcia-Gutierrez^4,*, Margarita Gamarra⁵, Romany F. Mansour⁶

CMC-Computers, Materials & Continua, Vol.69, No.2, pp. 2031-2044, 2021, DOI:10.32604/cmc.2021.017116

Abstract White Blood Cell (WBC) cancer or leukemia is one of the serious cancers that threaten the existence of human beings. In spite of its prevalence and serious consequences, it is mostly diagnosed through manual practices. The risks of inappropriate, sub-standard and wrong or biased diagnosis are high in manual methods. So, there is a need exists for automatic diagnosis and classification method that can replace the manual process. Leukemia is mainly classified into acute and chronic types. The current research work proposed a computer-based application to classify the disease. In the feature extraction stage, we… More >