Cancer statistics

UNLABELLED: Globally, cancer is a major public health problem. There is a paucity of information regarding stigma and how it affects the cancer survivors' quality of life (QoL) in Kenya. In a recent report by Globocan, 42,116 new cases and 27,072 fatalities related to cancer were documented in Kenya in 2020. Cancer survivors are more likely to suffer physical and psychological disorders as a result of their poor QoL. The purpose of this study was to evaluate the knowledge, attitudes, and beliefs regarding the stigma associated with the disease as well as how it affects their QoL among a cohort of cancer survivors supported by the KILELE Health Association...

BACKGROUND: The incidence of thyroid cancer has increased over the decades, and patients prefer short thin scars after thyroidectomy due to their cosmetic visibility. Several scar assessment methods have been used to determine the most cosmetically optimal surgical method, but a widely accepted measurement tool is still lacking. This study investigates the usage status in the thyroid scar scale according to time, region, and study method. METHODS: The authors searched for articles on thyroid scars published between January 2000 and September 2022 in the PubMed database...

BACKGROUND: Persons with HIV (PWH) at highest risk of anal cancer include gay, bisexual, and other men who have sex with men (GBMSM) and transgender women aged ≥ 35 years, and other PWH aged ≥ 45 years. Identifying and treating precancerous lesions can reduce anal cancer incidence in these groups. We assessed prevalence of anal cytology and access to high-resolution anoscopy (HRA) among PWH, overall and those at highest risk. METHODS: Data were obtained from the CDC's Medical Monitoring Project (MMP), a population-based survey of PWH aged ≥ 18 years, and a supplemental MMP facility survey...

Background : Malignancy of the breast is one of the most common cancers among females worldwide. Magnetic resonance mammography (MRM) is a valuable complement to conventional methods for the early diagnosis of disease, thereby providing patients with a better prognosis. The number of unnecessary biopsies and repeated excisions in cases of indeterminate breast lesions detected on conventional imaging is high. Aims : The purpose of this study was to evaluate the role of MRM in the evaluation of indeterminate breast lesions [Breast Imaging Reporting and Data System (BIRADS) 3/4] found in conventional mammography and ultrasonography (USG), taking the histopathological examination (HPE) as the gold standard...

BACKGROUND: Tumor-associated macrophages (TAMs) are a prominent immune subpopulation in the tumor microenvironment that could potentially serve as therapeutic targets for breast cancer. Thus, it is important to characterize this cell population across different tumor subtypes including patterns of association with demographic and prognostic factors, and breast cancer outcomes. METHODS: We investigated CD163+ macrophages in relation to clinicopathologic variables and breast cancer outcomes in the Women's Circle of Health Study and Women's Circle of Health Follow-up Study populations of predominantly Black women with breast cancer...

BACKGROUND: Advanced unresectable gastric cancer (GC) patients were previously treated with chemotherapy alone as the first-line therapy. However, with the Food and Drug Administration's (FDA) 2022 approval of programmed cell death protein 1 (PD-1) inhibitor combined with chemotherapy as the first-li ne treatment for advanced unresectable GC, patients have significantly benefited. However, the significant costs and potential adverse effects necessitate precise patient selection. In recent years, the advent of deep learning (DL) has revolutionized the medical field, particularly in predicting tumor treatment responses...

BACKGROUND: Cancer represents a significant global public health challenge, with escalating incidence rates straining healthcare systems. Malaysia, like many nations, has witnessed a rise in cancer cases, particularly among the younger population. This study aligns with Malaysia's National Strategic Plan for Cancer Control Programme 2021-2025, emphasizing primary prevention and early detection to address cancer's impact. Therefore, we aim to describe the timeliness of cancer care for symptom presentation, socio-demographic, patient, as well as organizational-related factors among patients in Malaysia diagnosed with breast, colorectal, nasopharyngeal, and cervical cancer...

OBJECTIVE: To determine the associated risk factors for isolated liver metastasis in breast cancer patients and to detect the prognostic factors related to survival. STUDY DESIGN: Analytical study. Place and Duration of the Study: Department of General Surgery, The University of Health Sciences, Istanbul, Turkiye, from January 2011 to November 2020. METHODOLOGY: Patients with breast cancer liver metastasis who experienced surgery were retrospectively analysed for breast cancer and metastases-related characteristics...

BACKGROUND: Pancreatic fistula (PF) is one of the most serious postoperative complications of gastrectomy. Misidentification of the boundary between the pancreas and the dissected fat is a primary concern. In this study, we focused on differences in the appearance of the pancreas and the dissected fat in actual surgical images and statistically analyzed the relationship between the pancreas and the dissected fat. METHODS: We analyzed data from 109 gastric cancer patients who underwent curative gastrectomy between November 2018 and March 2023...

PURPOSE: We aimed to evaluate the feasibility of non-contrast-enhanced T1 sequence in texture analysis of breast cancer lesions to predict their estrogen receptor status. METHODS: The study included 85 pathologically proven breast cancer lesions in 53 patients. Immunohistochemical studies were performed to determine the estrogen receptor status (ER). Lesions were divided into two groups: ER + ve status and ER-ve status. Texture analysis using the second-order analysis features [The Co-occurrence matrix (11 features)] was applied on both T1 and dynamic contrast-enhanced (DCE) MRI images for each lesion...

Omics methods are widely used in basic biology and translational medicine research. More and more omics data are collected to explain the impact of certain risk factors on clinical outcomes. To explain the mechanism of the risk factors, a core question is how to find the genes/proteins/metabolites that mediate their effects on the clinical outcome. Mediation analysis is a modeling framework to study the relationship between risk factors and pathological outcomes, via mediator variables. However, high-dimensional omics data are far more challenging than traditional data: (1) From tens of thousands of genes, can we overcome the curse of dimensionality to reliably select a set of mediators? (2) How do we ensure that the selected mediators are functionally consistent? (3) Many biological mechanisms contain nonlinear effects...

BACKGROUND: Metabolomics is nowadays considered one the most powerful analytical for the discovery of metabolic dysregulations associated with the insurgence of cancer, given the reprogramming of the cell metabolism to meet the bioenergetic and biosynthetic demands of the malignant cell. Notwithstanding, several challenges still exist regarding quality control, method standardization, data processing, and compound identification. Therefore, there is a need for effective and straightforward approaches for the untargeted analysis of structurally related classes of compounds, such as acylcarnitines, that have been widely investigated in prostate cancer research for their role in energy metabolism and transport and β-oxidation of fatty acids...

OBJECTIVE: Characterize experiences with cancer and perceptions of the preventable cancer burden attributable to diet among firefighters. DESIGN: A cross-sectional survey was distributed to assess cancer history and perceptions of cancer. SETTING: US. PARTICIPANTS: US-based firefighters. MAIN OUTCOME MEASURE(S): History of cancer, perceptions of cancer, and perceptions of diet as a means to prevent cancer...

BACKGROUND: The early identification of responsive and resistant patients to androgen receptor-targeting agents (ARTA) in metastatic castration-resistant prostate cancer (mCRPC) is not completely possible with prostate-specific antigen (PSA) assessment and conventional imaging. Considering its ability to determine metabolic activity of lesions, positron emission tomography (PET) assessment might be a promising tool. PATIENTS AND METHODS: We carried out a monocentric prospective study in patients with mCRPC treated with ARTA to evaluate the role of different PET radiotracers: 49 patients were randomized to receive 11 C-Choline, Fluorine 18 fluciclovine (anti-1-amino-3-18F-fluorocyclobutane-1-carboxylic acid - FACBC) (18 F-FACBC), or Gallium-68-prostate-specific-membrane-antigen (68 Ga-PSMA) PET, one scan before therapy and one 2 months later...

PURPOSE: OAR delineation accuracy influences: (i) a patient's optimised dose distribution (PD), (ii) the reported doses (RD) presented at approval, which represent plan quality. This study utilised a novel dosimetric validation methodology, comprehensively evaluating a new CT-scanner-based AI contouring solution in terms of PD and RD within an automated planning workflow. METHODS: 20 prostate patients were selected to evaluate AI contouring for rectum, bladder, and proximal femurs...

INTRODUCTION: The relationship between type 2 diabetes mellitus (T2DM) and pathological responses after neoadjuvant chemotherapy (NACT) is controversial. In this study, we aim to determine the association of pathological responses in breast cancer women with T2DM after receiving NACT. METHODS: Medical records of breast cancer women with T2DM who received NACT from January 2016 to January 2021 at the medical center in the Gujranwala Institute of Nuclear Medicine and Radiotherapy, Pakistan, were identified and retrieved retrospectively...

Type II diabetes is associated with cancer risk in the general population but has not been well-studied as a risk factor for subsequent malignancies among cancer survivors. We investigated the association between diabetes and subsequent cancer risk among older (66-84 years), one-year breast cancer survivors within the linked Surveillance Epidemiology and End Results (SEER)-Medicare database using Cox regression analyses to quantify hazard ratios (HR) and corresponding 95% confidence intervals (95%CI). Among 133,324 women, 29...

INTRODUCTION: Reducing waiting times is a major policy objective in publicly-funded healthcare systems. However, reductions in waiting times can produce a demand response, which may offset increases in capacity. Early detection and diagnosis of cancer is a policy focus in many OECD countries, but prolonged waiting periods for specialist confirmation of diagnosis could impede this goal. We examine whether urgent GP referrals for suspected cancer patients are responsive to local hospital waiting times...

BACKGROUND: Globally, cancer predominates in adults aged older than 60 years, and 70% of older adults have ≥1 chronic condition. Cancer self-management interventions can improve symptom management and confidence, but few interventions target the complex needs of older adults with cancer and multimorbidity. Despite growing evidence of digital health tools in cancer care, there is a paucity of theoretically grounded digital self-management supports for older adults. Many apps for older adults have not been co-designed with older adults to ensure that they are tailored to their specific needs, which would increase usability and uptake...

The added value of candidate predictors for risk modeling is routinely evaluated by comparing the performance of models with or without including candidate predictors. Such comparison is most meaningful when the estimated risk by the two models are both unbiased in the target population. Very often data for candidate predictors are sourced from nonrepresentative convenience samples. Updating the base model using the study data without acknowledging the discrepancy between the underlying distribution of the study data and that in the target population can lead to biased risk estimates and therefore an unfair evaluation of candidate predictors...