Research and Reviews: Journal of Oncology and Hematology

Latest articles

• Published Subscription Original Research 3 Jul 2026

  Early Lung Cancer Prediction using deep Learning

  By Mohit Bharat Vishwakarma, Karan Gajajibhai Vala, Padma Mishra, Shubham Mishra

  Abstract: Lung cancer is a global killer because it’s often found late. Finding it early is key to treatment and survival so computer assisted diagnostics are essential. This research uses deep learning to spot early stage lung cancer from CT scans. We trained and fine-tuned three convolutional neural networks—ResNet50, Dense Net 201 and EfficientNet-B0—using transfer learning. We preprocessed the lung CT images by resizing, normalizing and augmenting them to enhance the …

  Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 15, Issue 2, 2026 Read article →

• Published Subscription Review Article 5 Apr 2026

  Extracellular Vesicle-Based Liquid Biopsies: Decoding the Tumor Microenvironment for Precision Oncology

  By Shubham Sah, Deepa Kumari, Manish Kumar, Meghana Inupamula, Abhay Kumar Yadav, Mohan Mishra, Abhijeet Pandey

  Abstract: The tumor microenvironment (TME) plays a pivotal role in cancer initiation, progression, and therapeutic response. Decoding the TME is, therefore, essential for advancing precision oncology. Extracellular vesicles (EVs), including exosomes and microvesicles, are nanoscale lipid bilayer particles secreted by tumor and stromal cells. They transport a wide range of bioactive molecules, such as DNA, RNA, proteins, lipids, and metabolites, which reflect the dynamic state of the TME. Recent advances in …

  Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 15, Issue 1, 2026 · pp. 43–62 Read article →

• Published Subscription Book Review 5 Apr 2026

  Uncontrolled Cell Growth and Human Health: A Comprehensive Exploration of Cancer

  By V. Basil Hans

  Abstract: Cancer is a diverse category of diseases defined by the uncontrolled proliferation and spread of aberrant cells. It remains the major cause of morbidity and mortality worldwide. This article presents an overview of the various forms of cancer, such as carcinomas, sarcomas, lymphomas, and leukaemia, emphasising their distinct causes, symptoms, and risks. Early detection and diagnosis are emphasized as key to enhancing treatment outcomes. The article further provides an in-depth …

  Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 15, Issue 1, 2026 · pp. 1–23 Read article →

• Published Subscription Original Research 5 Apr 2026

  The Role of Tobacco Consumption in Oral Cancer Incidence in Punjab and Haryana

  By Eric Kwasi Elliason, Atul Khajuria, Stephen Monday, J. Samuel Kamanda, Christian Gendemeh

  Abstract: Background: Oral cancer is one of the most common types of cancer in India, especially in the northern regions, like the states of Punjab and Haryana, where the prevalence of tobacco consumption, smoking, and smokeless forms, is high. Nevertheless, the specific contribution of different types of tobacco and other risk factors related to oral cancer occurrence in these populations has been poorly investigated. The purpose of this investigation is to …

  Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 15, Issue 1, 2026 · pp. 30–36 Read article →

• Published Subscription Review Article 5 Apr 2026

  CNN-Based Diagnosis of Skin Cancer from Dermoscopic Images

  By Ankita Srivastava, Abhishek Gupta, Arohan Chaudhary, Nida Khan

  Abstract: Skin cancer has become one of the diseases widely spread over the globe, with melanoma becoming a severe threat to one’s health. Detection of such diseases at the initial stage saves an individual from drastic damage. Using a Convolutional Neural Network (CNN) for detecting skin cancer through image classification as benign or malignant provides significant support to dermatological practice and reduces dependence solely on subjective visual examination. Dermatologists often face …

  Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 15, Issue 1, 2026 · pp. 37–42 Read article →

• Published Subscription Review Article 23 Mar 2026

  Cellular Mechanisms of Autophagy in Carcinogenesis: A Narrative Review

  By Sharique Ahmad, Shekhar Srivastava, Raushan Kumar, Pooja Srivastav, Pushpendra D. Pratap, Faiza Hasan Khan

  Abstract: Autophagy is a highly conserved lysosomal degradation pathway essential for cellular homeostasis, metabolic adaptation, and survival under stress. In the context of carcinogenesis, autophagy exhibits a paradoxical and stage-dependent role. During early tumor development, autophagy acts as a tumor-suppressive mechanism by limiting genomic instability, oxidative stress, and chronic inflammation. Conversely, in established malignancies, cancer cells exploit autophagy to sustain growth, survive hostile tumor microenvironments, and resist anticancer therapies. Increasing evidence …

  Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 15, Issue 1, 2026 · pp. 23–28 Read article →

• Published Subscription Review Article 25 Nov 2025

  A Review on Lung Cancer Prediction Using Machine Learning

  By Sarita T. Sawale, Sejal N. Marke, Vasudha S. Wakte

  Abstract: Lung cancer continues to be a major contributor to cancer-related mortality across the globe. Timely diagnosis and reliable prediction models play a crucial role in enhancing treatment outcomes and survival rates for patients. The present study focuses on the utilization of machine learning (ML) methods for the prediction of lung cancer. Using datasets that incorporate clinical records, imaging modalities, and genetic profiles, the research assesses the predictive capabilities of multiple …

  Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 3, 2025 · pp. 1–11 Read article →

• Published Subscription Original Research 25 Nov 2025

  Knowledge Enhancement Through Breast Cancer Education Among B.Sc. Nursing Students: A Pre-Experimental Study

  By Anita, Christina Manju, Prasiddhi, Rakhee, Soniya, Rachna Gardia

  Abstract: Background: Breast cancer continues to be a major global public health concern. Timely detection and proper management play a vital role in reducing morbidity and mortality. Nursing students must have sufficient knowledge to provide effective community education and deliver quality care. Aim: This study aims to evaluate the effect of a structured teaching program on improving the knowledge of nursing students. Method: The quantitative research approach with pre-experimental research design …

  Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 3, 2025 · pp. 23–27 Read article →

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