Mitochondria in relation to cancer metastasis

Mitochondria, also known as ??Power House of cell,?? are crucial organelles, regulating energy metabolism. Recently, an involvement of mitochondria in cancer occurrence and metastasis has been proposed. The roles of mitochondria in cancer progression/metastasis include alteration of glycolysis, regulation of ROS and suppression of intrinsic apoptosis. This mini-review explains the specific mitochondrial characteristics during cancer metastasis with past and recent findings. It may contribute to understanding mitochondria-related mechanisms of cancer metastasis.     

Transition to androgen-independence in prostate cancer

Prostate carcinoma is the most frequently diagnosed malignancy and the second leading cause of death as a result of cancer in men in the western countries. Withdrawal of androgens or the peripheral blockage of androgen action remain the critical therapeutic options for the treatment of advanced prostate cancer. However, after initial regression, most of the prostate cancers become androgen-independent and progress further, with eventual fatal outcome. Understanding the mechanisms of transition to androgen independence and tumor progression in prostate cancer is critical to finding new ways to treat aged patients that are ineligible for conventional chemotherapy. A large number of different molecular mechanisms might be responsible for the transition to androgen-independence. Many of these involve the androgen receptor (AR) and its signalling pathways, but they might also include genetic changes that affect several genes, which results in the activation of oncogenes or the inactivation of tumor suppressor genes. Here, we discuss the most recent and relevant findings on androgen resistance in prostate cancer in order provide a comprehensive interpretation of the clinical behaviour of tumors at molecular levels.     

Normal to cancer microbiome transformation and its implication in cancer diagnosis

Microbial communities coexisting with humans are collectively known as microbiome. It influences almost every aspect of an individual's body function. Microbiome is idiosyncratic for body condition and its alteration is indicative for several abnormalities. This article discusses about recent ideas for developing microbiology based cancer indicators using alterations in microbiome. It is noteworthy that large exploratory studies are required to identify cancer indicator microorganisms from complex and diverse microbiome constituents. This complexity also warrants that these markers should be used in conjunction with other routine cancer indicators. The present article concludes that such studies can spur development of novel microbiome based cancer diagnostics.     

From cancer big data to treatment: Artificial intelligence in cancer research

In recent years, developing the idea of “cancer big data” has emerged as a result of the significant expansion of various fields such as clinical research, genomics, proteomics and public health records. Advances in omics technologies are making a significant contribution to cancer big data in biomedicine and disease diagnosis. The increasingly availability of extensive cancer big data has set the stage for the development of multimodal artificial intelligence (AI) frameworks. These frameworks aim to analyze high-dimensional multi-omics data, extracting meaningful information that is challenging to obtain manually. Although interpretability and data quality remain critical challenges, these methods hold great promise for advancing our understanding of cancer biology and improving patient care and clinical outcomes. Here, we provide an overview of cancer big data and explore the applications of both traditional machine learning and deep learning approaches in cancer genomic and proteomic studies. We briefly discuss the challenges and potential of AI techniques in the integrated analysis of omics data, as well as the future direction of personalized treatment options in cancer.     

Genomic approaches to research in lung cancer

The medical research community is experiencing a marked increase in the amount of information available on genomic sequences and genes expressed by humans and other organisms. This information offers great opportunities for improving our understanding of complex diseases such as lung cancer. In particular, we should expect to witness a rapid increase in the rate of discovery of genes involved in lung cancer pathogenesis and we should be able to develop reliable molecular criteria for classifying lung cancers and predicting biological properties of individual tumors. Achieving these goals will require collaboration by scientists with specialized expertise in medicine, molecular biology, and decision-based statistical analysis.     

Inherited predisposition to cancer

In a minority of cancers, the family history, and sometimes characteristic abnormalities in growth or development of target tissues, suggests strong inherited predisposition. There may also be a much larger number of cases who are less strongly predisposed, with important implications for screening and prevention; because there is usually no family history, however, the recognition and investigation of these cases poses a major problem.     

Pancreatic cancer stem cells and relevance to cancer treatments

Pancreatic cancer continues to be a malignancy with few therapeutic options. The majority of patients that present for an evaluation have locally advanced or metastatic disease that is incurable by surgical approaches. Chemotherapy and radiotherapy resistance of pancreatic adenocarcinomas limits the efficacy of these therapeutic approaches. Recent evidence supports the existence of human pancreatic cancer stem cells, which appear to drive tumor initiation and progression and are particularly resistant to cell death induced by radiation or chemotherapy. Understanding the mechanisms of pancreatic cancer stem cell self‐renewal and resistance to standard therapies may lead to new, more effective therapies to treat this dismal disease. J. Cell. Biochem. 107: 40–45, 2009. © 2009 Wiley‐Liss, Inc.     

Protein engineering to target complement evasion in cancer

The complement system is composed of soluble factors in plasma that enhance or “complement” immune-mediated killing through innate and adaptive mechanisms. Activation of complement causes recruitment of immune cells; opsonization of coated cells; and direct killing of affected cells through a membrane attack complex (MAC). Tumor cells up-regulate complement inhibitory factors – one of several strategies to evade the immune system. In many cases as the tumor progresses, dramatic increases in complement inhibitory factors are found on these cells. This review focuses on the classic complement pathway and the role of major complement inhibitory factors in cancer immune evasion as well as on how current protein engineering efforts are being employed to increase complement fixing or to reverse complement resistance leading to better therapeutic outcomes in oncology. Strategies discussed include engineering of antibodies to enhance complement fixation, antibodies that neutralize complement inhibitory proteins as well as engineered constructs that specifically target inhibition of the complement system.     

Different strategies to overcome multidrug resistance in cancer

The risk of acquisition of resistance to chemotherapy remains a major hurdle in the management of various types of cancer patients. Several cellular and noncellular mechanisms are involved in developing both intrinsic and acquired resistance in cancer cells toward chemotherapy. This review covers the various multidrug resistance (MDR) mechanisms observed in cancer cells as well as the various strategies developed to overcome these MDR mechanisms. Extensive studies have been conducted during the last several decades to enhance the efficacy of chemotherapy by suppressing or evading these MDR mechanisms including the use of new anticancer drugs that could escape from the efflux reaction, MDR modulators or chemosensitizers, multifunctional nanocarriers, and RNA interference (RNAi) therapy.     

Species differences in tumour responses to cancer chemotherapy

Despite advances in chemotherapy, radiotherapy and targeted drug development, cancer remains a disease of high morbidity and mortality. The treatment of human cancer patients with chemotherapy has become commonplace and accepted over the past 100 years. In recent years, and with a similar incidence of cancer to people, the use of cancer chemotherapy drugs in veterinary patients such as the dog has also become accepted clinical practice. The poor predictability of tumour responses to cancer chemotherapy drugs in rodent models means that the standard drug development pathway is costly, both in terms of money and time, leading to many drugs failing in Phase I and II clinical trials. This has led to the suggestion that naturally occurring cancers in pet dogs may offer an alternative model system to inform rational drug development in human oncology. In this review, we will explore the species variation in tumour responses to conventional chemotherapy and highlight our understanding of the differences in pharmacodynamics, pharmacokinetics and pharmacogenomics between humans and dogs. Finally, we explore the potential hurdles that need to be overcome to gain the greatest value from comparative oncology studies.     

Gender differences in psychosocial responses to lung cancer

Background: Although biologically based sex differences in the smoking patterns, epidemiology, biomedical markers, and survival rates associated with lung cancer are well documented, examinations of psychosocial gender differences are scarce.Objective: This cross-sectional study examined gender differences in psychosocial factors that are important in the medical management of lung cancer.Methods: A convenience sample of patients who were attending a multidisciplinary lung cancer treatment center (Markey Cancer Center, Lexington, Kentucky) were invited to complete a psychosocial needs assessment. Eligibility criteria included primary diagnosis of lung cancer, age ≥18 years, and being cognitively intact. Measures focused on psychosocial resources, treatment decision-making, social consequences of treatments, and treatment outcomes. Data were collected between the fall of 2005 and the summer of 2006.Results: A total of 47 women and 53 men (mean [SD] age, 62.81 [12.01] years; 95% white) completed the needs assessment. Gender was not found to be associated with demographic characteristics, time until diagnosis, treatment, or survival rate. Smoking histories differed significantly in the proportion of women and men who smoked or were former smokers (P = 0.01) as well as the age when they began to smoke (P = 0.02). There were no significant gender differences in social support networks, general coping, information needs, treatment decision satisfaction, functional health, life satisfaction, financial impact, or service needs. However, significant gender differences did indicate that women favored spiritual practices (P = 0.02) and religious coping (P = 0.04), and were more likely to endorse having a life mission (P = 0.03) and being part of a divine plan (P = 0.01).Conclusions: Previous research has found that religiousness and spirituality improved depressive symptoms and may ease end-of-life despair. In the present study of patients with lung cancer, gender differences in religiousness and spirituality suggest that this may be especially true for women, and that interventions should be directed toward their religious practices and coping.     

Diminished lymphocyte responses to phytohemagglutinin in lung cancer

The PHA response of blood lymphocytes from lung cancer patients was found to be diminished in comparison to normal. Sera from these patients inhibited the blastogenic response of blood lymphocytes from normal subjects. Normal sera could restore to various levels the diminished PHA response of lymphocytes from lung cancer patients. The results suggest that the immunosuppression seen in lung cancer may be mediated by a factor (s) in the serum which might bound reversibly to a certain subpopulation of T-cells and permanently to another and or some other inhibitory mechanism does exist.     

From single cells to deep phenotypes in cancer

In recent years, major advances in single-cell measurement systems have included the introduction of high-throughput versions of traditional flow cytometry that are now capable of measuring intracellular network activity, the emergence of isotope labels that can enable the tracking of a greater variety of cell markers and the development of super-resolution microscopy techniques that allow measurement of RNA expression in single living cells. These technologies will facilitate our capacity to catalog and bring order to the inherent diversity present in cancer cell populations. Alongside these developments, new computational approaches that mine deep data sets are facilitating the visualization of the shape of the data and enabling the extraction of meaningful outputs. These applications have the potential to reveal new insights into cancer biology at the intersections of stem cell function, tumor-initiating cells and multilineage tumor development. In the clinic, they may also prove important not only in the development of new diagnostic modalities but also in understanding how the emergence of tumor cell clones harboring different sets of mutations predispose patients to relapse or disease progression.