Cancer Cases Research Articles

Pediatric Patients with Acute Lymphoblastic Leukemia in Honduras: Demographic Characteristics, Clinical Features, and Laboratory Findings

Approximately 90% of confirmed cancer cases annually are reported in low to middleincome countries. In Honduras, the incidence of pediatric cancer has been steadily increasing, accompanied by a higher cancer mortality rate attributed to diagnostic errors, limited access to healthcare, and management challenges. Diagnostic pitfalls, such as failure to recognize signs of malignancy, inadequate assessment of persistent symptoms, and misinterpretation of diagnostic tests, significantly impede effective cancer care. This retrospective case study collected data from 68 pediatric patients diagnosed with Acute Lymphoblastic Leukemia (ALL) at the Honduran Social Security Institute in Tegucigalpa between January 2015 and December 2022. Data retrieval encompassed demographic features, clinical characteristics, and laboratory findings. We used SPSS Statistics version 29.0.2.0 to perform all statistical analysis. The cohort comprised patients of equal gender distribution, with 42.6% (N: 29) belonging to the age group of 1 to 4 years. The hospital diagnosed an average of 8.5 cases each year. Fever was the most prevalent symptom, affecting 80.9% of patients (N: 55). Hemoglobin levels were below 10 mg/dL in 67.6% of patients, with 33.8% exhibiting levels below 7 mg/dL (N: 23) and equal proportion falling within the 7-10 mg/dL range (N: 23). Platelet levels were below 150,000/μL, with 48.5% experiencing severe thrombocytopenia (platelet levels <50,000/μL). Additionally, most patients presented phosphorus levels exceeding 4.5 mg/dl (N: 33, 48.5%), along with elevated LDH levels surpassing 500 U/l (N: 34, P: 50%). The presence of persistent fever should trigger suspicion of cancer, necessitating thorough assessment. Implementing guidelines outlining common symptoms and referral protocols could significantly reduce mortality in Honduran children with ALL.

Genome composition-based deep learning predicts oncogenic potential of HPVs.

Human papillomaviruses (HPVs) account for more than 30% of cancer cases, with definite identification of the oncogenic role of viral E6 and E7 genes. However, the identification of high-risk HPV genotypes has largely relied on lagged biological exploration and clinical observation, with types unclassified and oncogenicity unknown for many HPVs. In the present study, we retrieved and cleaned HPV sequence records with high quality and analyzed their genomic compositional traits of dinucleotide (DNT) and DNT representation (DCR) to overview the distribution difference among various types of HPVs. Then, a deep learning model was built to predict the oncogenic potential of all HPVs based on E6 and E7 genes. Our results showed that the main three groups of Alpha, Beta, and Gamma HPVs were clearly separated between/among types in the DCR trait for either E6 or E7 coding sequence (CDS) and were clustered within the same group. Moreover, the DCR data of either E6 or E7 were learnable with a convolutional neural network (CNN) model. Either CNN classifier predicted accurately the oncogenicity label of high and low oncogenic HPVs. In summary, the compositional traits of HPV oncogenicity-related genes E6 and E7 were much different between the high and low oncogenic HPVs, and the compositional trait of the DCR-based deep learning classifier predicted the oncogenic phenotype accurately of HPVs. The trained predictor in this study will facilitate the identification of HPV oncogenicity, particularly for those HPVs without clear genotype or phenotype.

Development of Bivalent Aptamer-DNA Carrier-Doxorubicin Conjugates for Targeted Killing of Esophageal Squamous Cell Carcinoma Cells.

Esophageal cancer ranks the seventh in cancer incidence and the sixth in cancer death. Esophageal squamous cell carcinoma (ESCC) accounts for approximately 90% of the total cases of esophageal cancer. Chemotherapy is the most effective drug-based method for treatment of esophageal cancer. However, severe side effects of traditional chemotherapy limit its treatment efficacy. Targeted chemotherapy can deliver chemotherapeutic drugs to cancer cells and specifically kill these cells with reduced side effects. In the work, the bivalent aptamer-DNA carrier (BAD) was designed by using an ESCC cell-specific aptamer as the recognition molecule and a GC base-rich DNA sequence as the drug carrier. With doxorubicin (Dox) as chemotherapeutic drugs, the bivalent aptamer-DNA-Dox conjugate (BADD) was constructed for targeted killing of ESCC cells. Firstly, the truncated A2(35) aptamer with a retained binding ability was obtained through optimization of an intact A2(80) aptamer and was used to fuse with DNA carrier sequences for constructing the BAD through simple DNA hybridization. The results of gel electrophoresis and flow cytometry analysis showed that the BAD was successfully constructed and had a stronger binding affinity than monovalent A2(35). Then, the BAD was loaded with Dox drugs to construct the BADD through noncovalent intercalation. The results of fluorescence spectra and flow cytometry assays showed that the BADD was successfully constructed and can bind to target cells strongly. Confocal imaging further displayed that the BADD can be specifically internalized into target cells and release Dox. The results of CCK-8 assays, Calcein AM/PI staining, and wound healing assays demonstrated that the BADD can specifically kill target cells, but not control cells. Our results demonstrate that the developed BADD can specifically deliver doxorubicin to target ESCC cells and selectively kill these cells, offering a potentially effective strategy for targeted chemotherapy of ESCC.

Long-term clinical outcomes of male breast cancer patients treated with curative intent by trimodality therapy at an academic university hospital in India.

Male breast cancer is rare and accounts for less than 1% of all breast cancer cases worldwide. This retrospective cohort study included all patients of invasive male breast cancer treated with curative intent by a trimodality approach via a multidisciplinary team at an academic university hospital in India between 2009 and 2023. Records were identified from a prospectively maintained database. Clinicopathological parameters, treatment details and survival were recorded and analysed. Thirty-four patients were included. The median (IQR) age was 55(44-63) years. Most patients were overall stage III (74%) and node positive (79%) with Scarff-Bloom-Richardson grade II (50%). Twenty-five patients (73%) were oestrogen receptor (ER) positive. Lymphovascular space invasion (LVSI) and perineural invasion (PNI) were present in 62% and 21% of patients, respectively. The most common chemotherapy timing was adjuvant (53%) followed by neoadjuvant (41%), and the most commonly used regimen consisted of a combination of doxorubicin-cyclophosphamide followed by a taxane (53%). Most (85%) patients underwent a mastectomy, five patients underwent breast conservation. All patients received radiotherapy to a dose of 42.6 Gy in 16 fractions, followed by a tumour bed boost for those undergoing breast conservation. At a median follow-up of 70 months (range 10-159 months), the five and ten-year overall survival was 91% and 58%, and the five-year disease-free survival (DFS) was 67%. The median DFS was 72 months. On univariate analysis, the tumour sub-type (Luminal versus TNBC) significantly predicted DFS (P = 0.03 log-rank). Breast cancer in males has a high incidence of node positivity, ER positivity and LVSI. Even with advanced stages at presentation, trimodality therapy in a multidisciplinary setting offers good long-term outcomes.

Rosmarinic acid modulates purinergic signaling and induces apoptosis in melanoma cells.

Cancer cases have increased worldwide. Cutaneous melanoma (CM), a highly metastatic skin cancer, largely contributes to global statistical cancer death data. Research has shown that rosmarinic acid (RA) is a promising phenolic compound with antineoplastic properties. Thus, we investigated the effects of RA on apoptosis-inducing in melanoma cells, purinergic signaling modulation, and cytokine levels. We treated SK-MEL-28 cells for 24h with different concentrations of RA and assessed the apoptosis, CD39, CD73, and A2A expression, and cytokine levels. We found RA-induced apoptosis in melanoma cells. Regarding the purinergic system, we verified that RA downregulated the expression of CD73 and A2A, specially at high concentrations of treatment. Additionally, RA increased IL-6, IL-4, IL-10, IFN-γ, and TNF-α levels. Our in vitro results confirm RA's potential to be used to induce melanoma cell apoptosis, having CD73 and A2A as targets when reversion of immune suppression is desired. Further studies in animal models and clinical trials focusing on RA's modulation of purinergic signaling in melanoma are required.

Diagnostic value of 8-OHdG, 8-iso-PGF2α and TNF-α levels in blood for early carcinogenesis of erosive oral lichen planus.

Oral cancer has a high worldwide incidence and mortality rate showing an upward trend year by year, predominantly occurring in emerging countries. Oral squamous cell carcinoma (OSCC) is one of the main types of oral cancer, accounting for more than 90% of all cases in oral cancer. To evaluate the diagnostic value of 8-hydroxy-2'-deoxyguanosine (8-OHdG), 8-iso-Prostaglandin F2alpha (8-iso-PGF2α) and tumor necrosis factor (TNF)-α as biomarkers in the early carcinogenesis of erosive oral lichen planus (EOLP) by measuring their levels in the blood of patients with EOLP and oral squamous cell carcinoma (OSCC). A total of 69 patients were enrolled in this case-control study [including an OSCC group (n= 23), an EOLP group (n= 23), and an age- and gender-matched healthy control group (n= 23)]. Blood levels of 8-OHdG, 8-iso-PGF2α and TNF-α were measured using enzyme-linked immunosorbent assay (ELISA). Statistical differences in these indicators among the three groups were analyzed. Plasma levels of 8-OHdG and 8-iso-PGF2α in the OSCC group were significantly higher than those in both the EOLP group and the control group (all P< 0.05); no significant statistical difference was found between the EOLP group and the control group. Serum levels of TNF-α in both the OSCC and EOLP groups were elevated compared with the control group, showing significant differences among all three groups (all P< 0.05). Receiver operating characteristic (ROC) curves revealed that plasma 8-OHdG and 8-iso-PGF2α levels and serum TNF-α levels had diagnostic effects on early carcinogenesis in EOLP patients. When these indicators were combined for diagnosis, the diagnostic effect was enhanced, with an area under the ROC curve (AUC) values of 0.819. 8-OHdG, 8-iso-PGF2α and TNF-α may serve as biological indicators for monitoring the early carcinogenesis of EOLP, and the diagnostic effect was augmented when these indicators were combined.

Implementation research on registering cancer cases in primary health centres of Puducherry through community health workers

Background &amp; objectives Hospital-based cancer registry does not represent the true burden of cancer in the community. Initiating a Primary Health Centre (PHC)-based cancer registry may better estimate population-level data for cancer cases in an area. This study aimed to set up a system for facilitating a PHC-based cancer registry and to assess the registration status of cancer cases in various PHCs of Puducherry. The facilitating and limiting factors while setting up this registry were also assessed. Methods A quasi-experimental study with an embedded mixed-method design was conducted in 31 PHCs/Community Health Centres (CHCs) from March 2021 to November 2022. The interventions were implemented in all PHCs/CHCs of Puducherry with the involvement of the State Non-Communicable Diseases (NCD) cell. The line list of cancer cases from the Jawaharlal Institute of Postgraduate Medical Education &amp; Research (JIPMER) Hospital-based cancer registry was shared with all PHCs/CHCs. Sensitization sessions for all Community Health Workers (CHWs) were conducted, and feedback on cancer registration status was given to the State NCD cell. Focus group discussion (FGD)/Key informant interview (KII) was undertaken to understand strengths, challenges, and suggestions. The logic model was used to understand the various indicators while setting up this PHC-based cancer registry. Results Over a one-year intervention period, 1270 cancer cases were registered at Puducherry’s PHCs/CHCs, 1203 (88%) from the shared list and 67(5%) from other facilities. However, only 53 per cent of the expected living cases were captured in the various PHCs. Major limitations for registration were the COVID-19 pandemic, stigma, inadequate manpower, infrastructure issues, and privacy concerns during screening. Interpretation &amp; conclusions It was feasible to set up a PHC-based cancer registry in all PHCs of Puducherry. However, registration of cancer cases was suboptimal, as population-based screening of cancer cases, as recommended in the National Programme for Prevention &amp; Control of Non-Communicable Diseases (NP-NCD) programme, was weak due to the COVID-19 pandemic. Once this is strengthened, the PHC-based cancer registry will better represent the population.

Learning generalizable AI models for multi-center histopathology image classification

Investigation of histopathology slides by pathologists is an indispensable component of the routine diagnosis of cancer. Artificial intelligence (AI) has the potential to enhance diagnostic accuracy, improve efficiency, and patient outcomes in clinical pathology. However, variations in tissue preparation, staining protocols, and histopathology slide digitization could result in over-fitting of deep learning models when trained on the data from only one center, thereby underscoring the necessity to generalize deep learning networks for multi-center use. Several techniques, including the use of grayscale images, color normalization techniques, and Adversarial Domain Adaptation (ADA) have been suggested to generalize deep learning algorithms, but there are limitations to their effectiveness and discriminability. Convolutional Neural Networks (CNNs) exhibit higher sensitivity to variations in the amplitude spectrum, whereas humans predominantly rely on phase-related components for object recognition. As such, we propose Adversarial fourIer-based Domain Adaptation (AIDA) which applies the advantages of a Fourier transform in adversarial domain adaptation. We conducted a comprehensive examination of subtype classification tasks in four cancers, incorporating cases from multiple medical centers. Specifically, the datasets included multi-center data for 1113 ovarian cancer cases, 247 pleural cancer cases, 422 bladder cancer cases, and 482 breast cancer cases. Our proposed approach significantly improved performance, achieving superior classification results in the target domain, surpassing the baseline, color augmentation and normalization techniques, and ADA. Furthermore, extensive pathologist reviews suggested that our proposed approach, AIDA, successfully identifies known histotype-specific features. This superior performance highlights AIDA’s potential in addressing generalization challenges in deep learning models for multi-center histopathology datasets.

Data quality in Brazilian population-based cancer registries for gastrointestinal cancers

BackgroundPopulation-based cancer registries (PBCRs) are the primary source of information for cancer surveillance and monitoring. Currently, there are 30 active PBCRs in Brazil. The objective of this study was to analyze the data quality of five gastrointestinal cancers (esophagus, stomach, colorectal, liver, and pancreas) according to the criteria of comparability, validity, completeness, and timeliness in Brazilian cancer registries.MethodsThis study included data from Brazilian PBCRs with more than ten years of historical data starting in the year 2000, regardless of the type of defined geographical coverage (state, metropolitan region, or capital), totaling 16 registries. Brazilian PBCRs were evaluated based on four international data quality criteria: comparability, validity (accuracy), completeness, and timeliness. All cancer cases were analyzed, except for nonmelanoma skin cancer cases (C44) and five gastrointestinal tumors (esophageal cancer, stomach cancer, colorectal cancer, liver cancer, and pancreatic cancer) per cancer registry and sex, according to the available period.ResultsThe 16 Brazilian PBCRs represent 17% of the population (36 million inhabitants in 2021) according to data from 2000 to 2018. There was a variation in the incidence in the historical series ranging from 12 to 19 years. The proportion of morphologically verified (MV%) cases varied from 74.3% (Manaus) to 94.8% (Aracaju), and the proportion of incidentally reported death certificate only (DCO%) cases varied from 3.0% (São Paulo) to 23.9% (Espírito Santo). High-lethality malignant neoplasms, such as liver and pancreas, had DCO percentages greater than 30% in most cancer registries. The sixteen registries have more than a 48-month delay in data release compared to the 2022 calendar year.ConclusionThe studied Brazilian cancer registries met international comparability criteria; however, half of the registries showed indices below the expected levels for validity and completeness criteria for high-lethality tumors such as liver and pancreas tumors, in addition to a long delay in data availability and disclosure. Significant efforts are necessary to ensure the operational and stability of the PBCR in Brazil, which continues to be a tool for monitoring cancer incidence and assessing national cancer control policies.

Soluble CD44 in oral rinses for the early detection of cancer: a prospective cohort study in high-risk individuals

BackgroundThere are 54,000 new cases of oral cavity and oropharyngeal cancer in the United States and more than 476,000 worldwide each year. Oral cavity and oropharyngeal squamous cell carcinoma make up most tumors with five-year survival rates of 50% due to prevalence of late-stage diagnoses. Improved methods of early detection in high-risk individuals are urgently needed. We aimed to assess the tumorigenic biomarkers soluble CD44 (solCD44) and total protein (TP) measured using oral rinses as affordable convenient screening tools for cancer detection.MethodsIn this prospective cohort study, we recruited 150 healthy current or former smokers through a community screening program. Baseline and four annual visits were conducted from March 2011-January 2016 with records followed until August 2020. Participants provided oral rinses, received head and neck exams, and completed questionnaires. SolCD44 and TP levels were measured and compared across groups and time. Participants were placed in the cancer group if malignancy developed in the study period, the suspicious group if physical exams were concerning for premalignant disease or cancer in the head and neck, and the healthy group if there were no suspicious findings. This analysis used two-sample t-test for comparison of means and two-sample Wilcoxon Test for comparison of medians. For subjects with follow-ups, estimated means of biomarkers were obtained from a fitted Repeated Measures Analysis of Variance (RANOVA) model including group, visit, and their interaction. Pairwise comparisons of mean solCD44 were made, including intergroup and intragroup comparison of values at different years.ResultsMost participants were males (58.7%), < 60 years of age. (90.7%), and Black (100%). Baseline mean solCD44 was elevated (2.781 ng/ml) in the cancer group compared to the suspicious group (1.849 ng/ml) and healthy group (1.779 ng/ml).ConclusionThis study supports the feasibility of a CD44-based oral rinse test as an affordable and convenient adjunctive tool for early detection of aerodigestive tract and other cancers in high-risk populations.

Multi-planar dual adversarial network based on dynamic 3D features for MRI-CT head and neck image synthesis

Objective. Head and neck radiotherapy planning requires electron densities from different tissues for dose calculation. Dose calculation from imaging modalities such as MRI remains an unsolved problem since this imaging modality does not provide information about the density of electrons. Approach. We propose a generative adversarial network (GAN) approach that synthesizes CT (sCT) images from T1-weighted MRI acquisitions in head and neck cancer patients. Our contribution is to exploit new features that are relevant for improving multimodal image synthesis, and thus improving the quality of the generated CT images. More precisely, we propose a Dual branch generator based on the U-Net architecture and on an augmented multi-planar branch. The augmented branch learns specific 3D dynamic features, which describe the dynamic image shape variations and are extracted from different view-points of the volumetric input MRI. The architecture of the proposed model relies on an end-to-end convolutional U-Net embedding network. Results. The proposed model achieves a mean absolute error (MAE) of 18.76±5.167 in the target Hounsfield unit (HU) space on sagittal head and neck patients, with a mean structural similarity (MSSIM) of 0.95±0.09 and a Frechet inception distance (FID) of 145.60±8.38 . The model yields a MAE of 26.83±8.27 to generate specific primary tumor regions on axial patient acquisitions, with a Dice score of 0.73±0.06 and a FID distance equal to 122.58±7.55 . The improvement of our model over other state-of-the-art GAN approaches is of 3.8%, on a tumor test set. On both sagittal and axial acquisitions, the model yields the best peak signal-to-noise ratio of 27.89±2.22 and 26.08±2.95 to synthesize MRI from CT input. Significance. The proposed model synthesizes both sagittal and axial CT tumor images, used for radiotherapy treatment planning in head and neck cancer cases. The performance analysis across different imaging metrics and under different evaluation strategies demonstrates the effectiveness of our dual CT synthesis model to produce high quality sCT images compared to other state-of-the-art approaches. Our model could improve clinical tumor analysis, in which a further clinical validation remains to be explored.

Comparing the safety and effectiveness of minimally invasive surgery and open inguinal lymph node dissection in penile cancer: A systematic review and meta-analysis

ObjectiveTo compare the safety and effectiveness of minimally invasive surgery (MIS) with open inguinal lymph node dissection (O-ILND) in penile cancer. MethodsWe performed a systematic reviews and cumulative meta-analyses of primary results of interest according to PRISMA criteria, and quality assessment followed AMSTAR. The system searched five databases, including Zhiwang, Embase, PubMed, Cochrane Library and Web of Science. The search period ranged was from database creation until September 2023. The statistical analysis software used Stata16. ResultsA total of 16 studies, including 898 patients. Compared to O-ILND, MIS is superior in length of stay (WMD = −2.96, 95%CI [-4.38, −1.54], P < 0.05), drainage time (WMD = −3.24, 95%CI [-4.70, −1.78], P < 0.05) and estimated blood loss (WMD = −35.70, 95%CI [-46.27, −25.14], P < 0.05), while operation time, recurrence rate and 5-year overall survival rate are the same. The number of lymph nodes dissection between the two groups are not statistically significant. Subgroup analyses found that there are more lymph nodes dissection in robotic-assisted inguinal lymph nodes dissection (WMD = 0.50, 95%CI [0.20, 0.80], P < 0.05). The overall complication rate of MIS was lower (OR = 0.26, 95%CI [0.09, 0.70], P < 0.05). ConclusionMinimally invasive inguinal lymph nodes dissection appears to be a better option for penile cancer cases. But more large samples and multicenter studies are needed to further confirm.

Research progresses of imaging studies on preoperative prediction of microvascular invasion of hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) is the predominant form of primary liver cancer, accounting for approximately 90% of liver cancer cases. It currently ranks as the fifth most prevalent cancer worldwide and represents the third leading cause of cancer-related mortality. As a malignant disease with surgical resection and ablative therapy being the sole curative options available, it is disheartening that most HCC patients who undergo liver resection experience relapse within five years. Microvascular invasion (MVI), defined as the presence of micrometastatic HCC emboli within liver vessels, serves as an important histopathological feature and indicative factor for both disease-free survival and overall survival in HCC patients. Therefore, achieving accurate preoperative noninvasive prediction of MVI holds vital significance in selecting appropriate clinical treatments and improving patient prognosis. Currently, there are no universally recognized criteria for preoperative diagnosis of MVI in clinical practice. Consequently, extensive research efforts have been directed towards preoperative imaging prediction of MVI to address this problem and the relative research progresses were reviewed in this article to summarize its current limitations and future research prospects.

Radiation Dose prediction for Cervical Cancer Patients Using IMRT Technique with a Machine Learning Model Based on Support Vector Regression (SVR)

Cervical cancer poses significant global health challenges, necessitating innovative treatment approaches. This study explores the integration of Support Vector Regression (SVR) in predicting radiation doses for cervical cancer radiotherapy, aiming to enhance the precision of Intensity Modulated Radiation Therapy (IMRT). We developed and validated an SVR model using datasets of 102 and 173 cervical cancer cases to predict dose distributions based on radiomic and dosiomic features. Our methodology involved pre-processing, feature extraction, data normalization, and rigorous training and testing of the model. Results indicated that larger, more diverse datasets significantly improve predictive accuracy, with the model demonstrating robust performance metrics. Notably, the study highlights the critical role of dataset size over stage uniformity in model reliability. These findings underscore the potential of machine learning in refining radiotherapy planning, reducing the workload on medical physicists, and improving patient outcomes. Future research should focus on expanding dataset sizes and enhancing model precision, particularly for challenging anatomical regions. This study paves the way for more personalized and effective radiotherapy planning, benefiting both clinicians and patients.

Prediction of Radiation Therapy Dose Distribution Using Random Forest Algorithm in Volumetric Modulated Arc Therapy Technique for Brain Cancer

Optimization of radiation dose distribution in clinical planning using a Treatment Planning System (TPS) for radiotherapy patients is crucial to achieving a balance between therapeutic effectiveness and patient safety. However, this process is time-consuming and relies heavily on the expertise of medical physicists. In this study, dose prediction using machine learning was performed on the Planning Target Volume (PTV) and Organ at Risk (OAR) for brain cancer cases using the Volumetric Modulated Arc Therapy (VMAT) planning technique. The planning DICOM data were extracted for radiomic and dosiomic values, which were then used as input and output in this study using a random forest algorithm model. Model evaluation results indicated that the random forest model's performance in predicting dose had a Mean Square Error (MSE) value of 0.018. The Homogeneity Index (HI) and Conformity Index (CI) values for the clinical data were 0.136±0.134 and 0.939±0.131 respectively, while the predicted results were 0.136±0.039 and 0.949±0.006, with p-values for PTV and OAR features &gt; 0.05. Thus, it can be concluded that the random forest model is effective in predicting dose for PTV brain cancer and OAR and can function as a reference in the planning process.

Bone and Soft Tissue Sarcoma Epidemiology in Iranian Elderly Population; an Analysis of the Iranian National Registry for Cancer (2009-2014 Years).

We aimed to investigate the patterns of incidence and prevalence of bone sarcoma (BS) and soft tissue sarcoma (STS), morphology as well as geographical distribution in the elderly in Iran. By the primary site of the tumor and the morphological types, whole cases of cancer were classified. Then, the WHO classification (2018) and the third revision of the standard International Classification of Diseases for Oncology (ICD-O-3) were used to assign a code to them. The estimated incidence rates were obtained as the frequency of the newly-diagnosed cases within one year divided by the calculated population of the mid-year Iranian residents as estimated by the Iranian Bureau of Statistics. The age-standardized incidence rates were also estimated for both bone and soft tissue sarcoma. The annual crude incidence rates of sarcomas in males (0.80 per 100,000) were more than in females (0.55 per 100,000) in all years. The total combined crude incidence in 2014 years was obtained at 0.67 per 100,000 people. In terms of disease grade majority of the patients were of grade 3 (11.5 %). In terms of tumor location, the Lower extremity was 16.8%, the Visceral (including gastrointestinal & uterus) 15.8%, the Thoracic 12.8%, and the Pelvic & abdominal wall 9.7%. Even though such sarcoma is more prevalent in elderly men, its incidence was also observed in lower-aged female groups. In addition, the incidence rate of BS was lower in comparison with that of STS, and the patients often exhibited an unknown degree of sarcoma.

Bilateral Male Breast Cancer : A Report Case

Breast cancer occurs in men, and its rate of incidence has increased recently. The main particularity of men's breast cancer is that its prognosis is usually worse than that of women, because it is diagnosed late and hence at advanced stage. Bilateral involvement has been reported only in rare cases. We report a case of a bilateral breast cancer, in a 47 year old patient , with no family history of breast cancer , who presented with a bilateral breast mass. Histopathological biopsy showed a bilateral invasive carcinoma, Luminal B, HER 2 negative . The extension PET scan showed no distant metastases. Bilateral mastectomy and bilateral sentinel lymph node were performed. The final histopathological exam confirmed the previous biopsy diagnostic, the tumors were mutually classified T2N0M0 of the TNM breast cancer classification. The surgical treatment was followed by tamoxifen hormonotherapy and an oncological semestriel follow-up. No recurrences or relapses were reported. The aim of our current work is to draw attention to this pathology in men, in order to contribute to its early diagnosis and therefore to improve its prognosis.

Emerging role of local treatment in the era of advanced systemic treatment in pancreatic cancer with liver metastasis: A systematic review and meta-analysis.

Approximately 50% of pancreatic cancer cases are diagnosed with distant metastases, commonly in the liver, leading to poor prognosis. With modern chemotherapy regimens extending patient survival and stabilizing metastasis, there has been a rise in the use of local treatments. However, the effectiveness for local treatment remains unclear. PubMed, Embase, and Cochrane databases were searched for studies reporting the survival outcomes of pancreatic cancer cases with isolated synchronous or metachronous liver metastases who underwent curative-intent local treatment. Hazard ratios were combined using a random-effects model. The full texts of 102 studies were screened, and 14 retrospective studies were included in the meta-analysis. Among patients with synchronous liver metastases, overall survival was significantly better in those who underwent curative-intent local treatment than in those who did not (hazard ratio [HR]: 0.35, 95% confidence interval [CI]: 0.24-0.52). Among patients with metachronous liver metastases, overall survival was also significantly better in those who underwent curative-intent local treatment than in those who did not (HR 0.37, 95% CI: 0.19-0.73). Curative-intent local treatment may be a feasible option for highly selected pancreatic cancer cases with liver metastases. However, the optimal strategy for local treatments should be explored in future studies.

Emerging cancer disease burden in a rural sub-Saharan African population: northeast Nigeria in focus.

Sub-Saharan Africa (SSA) is plagued by myriads of diseases, mostly infectious; but cancer disease burden is rising among non-communicable diseases. Nigeria has a high burden of cancer, however its remote underserved culturally-conserved populations have been understudied, a gap this study sought to fill. This was a cross-sectional multi-institutional descriptive study of histologically diagnosed cancers over a four-year period (January 2019-December 2022) archived in the Departments of Pathology and Cancer Registries of six tertiary hospitals in the northeast of Nigeria. Data obtained included age at diagnosis, gender, tumor site and available cancer care infrastructure. Population data of the study region and its demographics was obtained from the National Population Commission and used to calculate incident rates for the population studied. A total of 4,681 incident cancer cases from 2,770 females and 1,911 males were identified. The median age at diagnosis for females was 45 years (range 1-95yrs), and 56 years (range 1-99yrs) for males. Observed age-specific incidence rates (ASR) increased steadily for both genders reaching peaks in the age group 80 years and above with the highest ASR seen among males (321/100,000 persons) compared to females (215.5/100,000 persons). Breast, cervical, prostatic, colorectal and skin cancers were the five most common incident cancers. In females, breast, cervical, skin, ovarian and colorectal cancers were the top five malignancies; while prostate, haematolymphoid, skin, colorectal and urinary bladder cancers predominated in men. Remote SSA communities are witnessing rising cancer disease burden. Proactive control programs inclusive of advocacy, vaccination, screening, and improved diagnostics are needed.

Relationship of pancreatitis to pancreatic cancer: from population-based observations to preclinical and mechanistic insights

Pancreatic ductal adenocarcinoma (PDAC) is one of the deadliest malignancies, accounting for 95% of pancreatic cancer cases, with a 5-year survival rate of around 10%. The relationship between pancreatitis and pancreatic cancer has been noted within the medical community. Recent epidemiological data and findings from experimental mouse models have underscored pancreatitis as a critical risk factor for pancreatic cancer. Therefore, exploring the mechanisms underlying the transition from pancreatitis to pancreatic cancer is crucial for improving early detection and treatment strategies for pancreatic cancer. In this review, we conducted a comprehensive search of the PubMed database and discussed relevant original studies, focusing on three key areas: findings from population- and animal-based studies, the role of pancreatic epithelial cell-intrinsic factors, and the impact of immune cells and cytokines. Additionally, we offered our prospectives on possible future research directions.