The Evolution of Our Understanding of the Biology of Cancer Is the Key to Avoiding Overdiagnosis and Overtreatment

Association between sociodemographic and clinical features, health behaviors, and health literacy of patients with prostate cancer and prostate cancer prognostic stage

Patient characteristics may influence access and acceptance of Prostate Specific Antigen test, and therefore, the timing of prostate cancer (PCa) diagnosis. A group of 361 patients from a cohort (n = 451) diagnosed with PCa in 2018-2020 at the Portuguese Institute of Oncology of Porto was evaluated before treatment, using a structured interview, the Medical Term Recognition Test, and the EORTC Quality of Life Questionnaire QLQ-PR25. PCa prognostic stages (I, II, III, IV) were attributed according to the American Joint Committee on Cancer eighth edition. Multinomial logistic regression was used to compute the odds ratio and 95% confidence interval (OR [95% CI]), considering PCa stage II, the most frequent, as reference. Older age (OR = 4.21 [2.24-7.93]), living outside the Porto Metropolitan Area while having low income (OR = 6.25 [1.53-25.62]), and erectile dysfunction (OR = 2.22 [0.99-4.99]) were associated with stage III, while urination during the night (OR = 3.02 [1.42-6.41]) was associated with stage IV. Urine leakage was less frequent in stage III (OR = 0.23 [0.08-0.68]), and living with a partner (OR = 0.41 [0.19-0.88]) and family history of cancer (OR = 0.25 [0.07-0.86]) in stage IV. Health literacy was not associated with PCa stage but lower education was less frequent in stage I (OR = 0.27 [0.11-0.69]). Patient sociodemographic and clinical characteristics should be considered as targets to improve PCa early detection and prognosis.

Recent Trends in Biosensing and Diagnostic Methods for Novel Cancer Biomarkers

Cancer is one of the major public health issues in the world. It has become the second leading cause of death, with approximately 75% of cancer deaths transpiring in low- or middle-income countries. It causes a heavy global economic cost estimated at more than a trillion dollars per year. The most common cancers are breast, colon, rectum, prostate, and lung cancers. Many of these cancers can be treated effectively and cured if detected at the primary stage. Nowadays, around 50% of cancers are detected at late stages, leading to serious health complications and death. Early diagnosis of cancer diseases substantially increases the efficient treatment and high chances of survival. Biosensors are one of the potential screening methodologies useful in the early screening of cancer biomarkers. This review summarizes the recent findings about novel cancer biomarkers and their advantages over traditional biomarkers, and novel biosensing and diagnostic methods for them; thus, this review may be helpful in the early recognition and monitoring of treatment response of various human cancers.

Protein Profiling of Breast Carcinomas Reveals Expression of Immune-Suppressive Factors and Signatures Relevant for Patient Outcome

In cancer, the complex interplay between tumor cells and the tumor microenvironment results in the modulation of signaling processes. By assessing the expression of a multitude of proteins and protein variants in cancer tissue, wide-ranging information on signaling pathway activation and the status of the immunological landscape is obtainable and may provide viable information on the treatment response. Archived breast cancer tissues from a cohort of 84 patients (no adjuvant therapy) were analyzed by high-throughput Western blotting, and the expression of 150 proteins covering central cancer pathways and immune cell markers was examined. By assessing CD8α, CD11c, CD16 and CD68 expression, immune cell infiltration was determined and revealed a strong correlation between event-free patient survival and the infiltration of immune cells. The presence of tumor-infiltrating lymphocytes was linked to the pronounced activation of the Jak/Stat signaling pathway and apoptotic processes. The elevated phosphorylation of PPARγ (pS112) in non-immune-infiltrated tumors suggests a novel immune evasion mechanism in breast cancer characterized by increased PPARγ phosphorylation. Multiplexed immune cell marker assessment and the protein profiling of tumor tissue provide functional signaling data facilitating breast cancer patient stratification.

PolyG-DS: An ultrasensitive polyguanine tract-profiling method to detect clonal expansions and trace cell lineage

Polyguanine tracts (PolyGs) are short guanine homopolymer repeats that are prone to accumulating mutations when cells divide. This feature makes them especially suitable for cell lineage tracing, which has been exploited to detect and characterize precancerous and cancerous somatic evolution. PolyG genotyping, however, is challenging because of the inherent biochemical difficulties in amplifying and sequencing repetitive regions. To overcome this limitation, we developed PolyG-DS, a next-generation sequencing (NGS) method that combines the error-correction capabilities of duplex sequencing (DS) with enrichment of PolyG loci using CRISPR-Cas9-targeted genomic fragmentation. PolyG-DS markedly reduces technical artifacts by comparing the sequences derived from the complementary strands of each original DNA molecule. We demonstrate that PolyG-DS genotyping is accurate, reproducible, and highly sensitive, enabling the detection of low-frequency alleles (<0.01) in spike-in samples using a panel of only 19 PolyG markers. PolyG-DS replicated prior results based on PolyG fragment length analysis by capillary electrophoresis, and exhibited higher sensitivity for identifying clonal expansions in the nondysplastic colon of patients with ulcerative colitis. We illustrate the utility of this method for resolving the phylogenetic relationship among precancerous lesions in ulcerative colitis and for tracing the metastatic dissemination of ovarian cancer. PolyG-DS enables the study of tumor evolution without prior knowledge of tumor driver mutations and provides a tool to perform cost-effective and easily scalable ultra-accurate NGS-based PolyG genotyping for multiple applications in biology, genetics, and cancer research.

American Academy of Ophthalmology Recommendations on Screening for Endogenous Candida Endophthalmitis

The American Academy of Ophthalmology evaluated the practice of routine screening for intraocular infection from Candida septicemia. In the United States, ophthalmologists are consulted in the hospital to screen for intraocular infection routinely for patients with Candida bloodstream infections. This practice was established in the era before the use of systemic antifungal medication and the establishment of definitions of ocular disease with candidemia. A recent systematic review found a rate of less than 1% of routinely screened patients with endophthalmitis from Candida septicemia. Other studies found higher rates of endophthalmitis but had limitations in terms of inaccuracies in ocular disease classification, lack of vitreous biopsies, selection biases, and lack of longer-term visual outcomes. Some studies attributed ocular findings to Candida infections, rather than other comorbidities. Studies also have not demonstrated differences in medical management that are modified for eye disease treatment; therefore, therapy should be dictated by the underlying Candida infection, rather than be tailored on the basis of ocular findings. In summary, the Academy does not recommend a routine ophthalmologic consultation after laboratory findings of systemic Candida septicemia, which appears to be a low-value practice. An ophthalmologic consultation is a reasonable practice for a patient with signs or symptoms suggestive of ocular infection regardless of Candida septicemia.

The Etiology and Pathophysiology Genesis of Benign Prostatic Hyperplasia and Prostate Cancer: A New Perspective

Background: The etiology of benign prostatic hyperplasia and prostate cancer are unknown, with ageing being the greatness risk factor. Methods: This new perspective evaluates the available interdisciplinary evidence regarding prostate ageing in terms of the cell biology of regulation and homeostasis, which could explain the timeline of evolutionary cancer biology as degenerative, inflammatory and neoplasm progressions in these multifactorial and heterogeneous prostatic diseases. Results: This prostate ageing degeneration hypothesis encompasses the testosterone-vascular-inflamm-ageing triad, along with the cell biology regulation of amyloidosis and autophagy within an evolutionary tumorigenesis microenvironment. Conclusions: An understanding of these biological processes of prostate ageing can provide potential strategies for early prevention and could contribute to maintaining quality of life for the ageing individual along with substantial medical cost savings.