Tumor Grade Research Articles

Molecular and Clinicopathologic Characterization of HER2-overexpressed Squamous Cell Carcinoma of the Cervix.

HER2 amplification in cervical cancer has been associated with worse clinical prognosis and a potential favorable response to HER2 inhibitors. Immunohistochemistry for the HER2 receptor is a universally accepted surrogate test for HER2 amplification, but no standardized scoring system currently exists for cervical carcinomas. In this study, we investigated HER2 overexpression in cervical squamous cell carcinoma and correlated it with HER2 amplification using fluorescence in situ hybridization (FISH) and molecular methods. Seventy-two cases of human papillomavirus-associated cervical cancer were retrospectively reviewed, and at least 2 representative tumor sections were stained for HER2. HER2 scoring was performed using the 2018 American Society of Clinical Oncology/College of American Pathologist breast cancer criteria, and cases with equivocal (2+) to positive (3+) expression were analyzed for HER2 amplification using FISH and next-generation sequencing. The average patient age was 50yrs (range: 27-85yr), with most patients being African American (73.6%) and diagnosed at FIGO stage I (65.3%). Nineteen (26.4%) had equivocal HER2 expression and 4 (5.5%) showed positive expression. Three of the 4 cases with positive expression had enough tumors for FISH, and all 3 were amplified. Three cases with equivocal expression showed HER2 polysomy on FISH, and none showed HER2 amplification. Late clinical stage, high tumor grade, and regional lymph node metastasis were significantly correlated with HER2 overexpression and HER2 amplification. Next-generation sequencing of the 3 HER2-amplified tumors showed amplification of various genes, including CD274, JAK2, BIRC3, and ERBB2, and a PIK3CA missense mutation. In summary, HER2 immunohistochemistry is a reliable predictive marker of HER2 amplification in cervical cancer.

Mixed adenoneuroendocrine carcinomas of the appendix: Is there a survival advantage to right hemicolectomy over appendectomy?

Backgroundthe surgical treatment and prognostic characteristics of mixed adenoneuroendocrine carcinomas (MANEC) of the appendix are not yet available. In this study, we sought to figure out the choice of surgical approach (right hemicolectomy versus appendectomy), and explore the effect of chemotherapy on appendiceal MANEC. Methodspatients with appendiceal MANEC from the Surveillance, Epidemiology, and End Results database (2000–2020) were stratified by gender, race, age group, tumor grade, and TNM stage. Logistic regression and Kaplan-Meier analyses relating TNM stage, grade, and receipt of right hemicolectomy (abbreviated as colectomy) to overall and cancer-specific survival were performed. Results455 patients with appendiceal MANEC were included, of whom 146(32 %) underwent appendectomy and 309(68 %) underwent colectomy. Patients who underwent colectomy had better cancer-specific survival (HR = 0.68, 95%CI (0.47–0.98), P = 0.041) and overall survival (HR = 0.67, 95%CI (0.48–0.93), P = 0.015) than those who underwent appendectomy alone. However, colectomy did not confer any survival advantage over appendectomy in subgroup analyses, including low-grade or high-grade tumors, T1-2N0M0 group, T3-4N0M0 group, node-positive non-metastatic tumors, and metastatic tumors. On multivariate analysis, lack of chemotherapy and high-stage (node-positive or metastatic) were associated with poorer overall survival; high-grade (grade 3–4) and high-stage were primary predictors of cancer-specific mortality. Furthermore, there was no significant association between colectomy and better survival, either overall survival or cancer specific survival, when accounting for tumor stage and grade. ConclusionsOur study found that colectomy did not provide a survival benefit compared to appendectomy alone. Moreover, tumor stage and grade were independent determinants of cancer specific survival; chemotherapy and tumor stage were independent determinants of overall survival.

B7-H3 is widely expressed in soft tissue sarcomas

PurposeTargeted therapy development in soft tissue sarcoma (STS) has been burdened by the heterogeneity of this group of rare tumors. B7 homolog 3 protein (B7-H3) is a molecule in the same family as programmed death-ligand 1 (PD-L1). It has limited expression in noncancerous tissues and is overexpressed in many cancers, making it an attractive target for cancer therapy, and clinical trials targeting B7-H3 are actively underway. While available data demonstrate high expression levels of B7-H3 in individual sarcoma subtypes, its expression patterns across STS subtypes are not well described. The purpose of this study was to characterize the expression patterns of B7-H3 in STS.Patients and methodsThis retrospective analysis evaluated STS tumor specimens from patients with a variety of different subtypes. Specimens were evaluated by immunohistochemistry (IHC) for expression and staining pattern of B7-H3 both in tumors and in associated vasculature.ResultsSpecimens from 153 sarcoma patients included 15 different STS subtypes. B7-H3 was broadly expressed in 97% of samples (95% CI 0.93–0.99) and 69.2% demonstrated high levels of B7-H3 expression (95% CI 0.61–0.76). No significant association between B7-H3 positivity or expression level and prior treatment(s), tumor size, tumor grade, or patient age. B7-H3 positivity in vessels was found in 94.7% (145/153) of samples. In tumors that had been previously assessed for PD-L1 and PD-1, there was no correlation between B7-H3 positivity or expression and the positivity or expression level of PD-L1 or PD-1.ConclusionThese data show high levels of B7-H3 positivity across soft tissue sarcoma subtypes, suggesting its feasibility as a therapeutic target for future sarcoma treatments. Future clinical trials are needed to evaluate whether targeting B7-H3 can provide clinical benefit to help patients with sarcoma.

Individual-level metabolic connectivity from dynamic [18F]FDG PET reveals glioma-induced impairments in brain architecture and offers novel insights beyond the SUVR clinical standard.

This study evaluates the potential of within-individual Metabolic Connectivity (wi-MC), from dynamic [18F]FDG PET data, based on the Euclidean Similarity method. This approach leverages the biological information of the tracer's full temporal dynamics, enabling the direct extraction of individual metabolic connectomes. Specifically, the proposed framework, applied to glioma pathology, seeks to assess sensitivity to metabolic dysfunctions in the whole brain, while simultaneously providing further insights into the pathophysiological mechanisms regulating glioma progression. We designed an index (Distance from Healthy Group, DfHG) based on the alteration of wi-MC in each patient (n = 44) compared to a healthy reference (from 57 healthy controls), to individually quantify metabolic connectivity abnormalities, resulting in an Impairment Map highlighting significantly compromised areas. We then assessed whether our measure of metabolic network alteration is associated with well-established markers of disease severity (tumor grade and volume, with and without edema). Subsequently, we investigated disruptions in wi-MC homotopic connectivity, assessing both affected and seemingly healthy tissue to deepen the pathology's impact on neural communication. Finally, we compared network impairments with local metabolic alterations determined from SUVR, a validated diagnostic tool in clinical practice. Our framework revealed how gliomas cause extensive alterations in the topography of brain networks, even in structurally unaffected regions outside the lesion area, with a significant reduction in connectivity between contralateral homologous regions. High-grade gliomas have a stronger impact on brain networks, and edema plays a mediating role in global metabolic alterations. As compared to the conventional SUVR-based analysis, our approach offers a more holistic view of the disease burden in individual patients, providing interesting additional insights into glioma-related alterations. Considering our results, individual PET connectivity estimates could hold significant clinical value, potentially allowing the identification of new prognostic factors and personalized treatment in gliomas or other focal pathologies.

Long-term trends analysis of the incidence and mortality in patients with ovarian cancer: a large sample study based on SEER database.

To analyze long-term trends of the incidence and mortality of ovarian cancer in the United States. Patients diagnosed with ovarian cancer were obtained from the Surveillance, Epidemiology, and End Results (SEER) database between 2000 and 2017. Joinpoint regression analysis was used to analyze the incidence and mortality trend, and the changes were reported as average annual percentage change (AAPC) with a 95% confidence interval (CI). Kaplan-Meier survival curve and Cox regression analyses were utilized for survival analysis. A total of 74 682 patients were included, among whom 49 491 (66.27%) died and 44 487 (59.57%) died from ovarian cancer. The mean age was 61.95 ± 15.23years. The incidence of ovarian cancer showed a decreased trend from 2000 to 2017 with an AAPC of -1.9 (95%CI: -2.0, -1.7). Both the overall mortality and cancer-specific mortality for ovarian cancer decreased from 2000 to 2017, with AAPCs of -5.0 (95%CI: -5.7, -4.2) and -4.6 (95%CI: -5.4, -3.8), respectively. There was a significant decrease in the incidence and mortality of patients with the distant SEER stage, histological subtypes of serous and malignant Brenner carcinoma, and grades II and III from 2000 to 2017. Older age, Black race, histological subtypes of carcinosarcoma, higher tumor grade, and radiotherapy were associated with poorer overall survival and cancer-specific survival, whereas higher income, histological subtype of endometrioid, and surgery were associated with better survival. This study provided evidence of a statistically significant decrease in the incidence and mortality of ovarian cancer from 2000 to 2017. Key message What is already known on this topic? Ovarian cancer is one of the most common tumors in women, with high morbidity and mortality. However, trends in long-term morbidity and mortality of patients with ovarian cancer have not been reported. What this study adds Overall incidence and mortality for ovarian cancer showed a decreased trend from 2000 to 2017, and trends in incidence and mortality varied by stage, histological subtype, and tumor grade. Factors associated with overall survival and cancer-specific survival also differ. How this study might affect research, practice, or police This study provides evidence of long-term trends in ovarian cancer incidence and mortality from 2000 to 2017.

Shugoshin 1 expression in various cancers: a potential target for therapy.

Shugoshin 1 (SGO1) is one of the Shugoshin (guardian spirit) family proteins, which is reported to be majorly involved in the protection of centromeres and proper segregation of chromosomes during cell division. Recent studies found that the altered expression of SGO1 is associated with various cancers and genetic disorders, and suggested as a target for therapy. In the present study, we have reviewed the available literature on SGO1 gene and protein expression in various cancer-cell lines, animal models and cancer patients, and targeting SGO1 with siRNA/shRNA. A significant increase in the expression of SGO1 mRNA and protein levels were observed in prostate, renal, lung, breast, neuroblastoma, leukemia, hepatocellular, and colon cancer-cell lines and the levels were associated with increased cellular proliferation, invasion, and metastasis. The altered SGO1 levels were observed in SGO1 knockout/haploinsufficient mice compared to wild type and the levels were associated with increased chromosome instability and tumorigenesis. Consistent with cell lines, higher SGO1 expression was also observed in tumor tissues of cancer patients compared to adjacent normal tissue and the levels were positively correlated with tumor stage, grade, size, and hormonal status. Higher SGO1 expression was related to resistance to chemotherapeutic agents and the knockdown of SGO1 increased sensitivity to those agents. Furthermore, targeting SGO1 with siRNA/shRNA reduced the expression of SGO1 and proliferation, and induced apoptosis of cancer cells. Overall, the SGO1 expression levels were significantly higher in various cancers, and targeting SGO1 with siRNA and shRNA reduced the levels of SGO1, proliferation and metastasis of cancers.

Clinical and Demographic Profile of Syrian Patients with Malignant Glioma: A Six-Month Retrospective Analysis

This study presents a retrospective analysis of glioblastoma cases admitted to Tishreen University Hospital in Lattakia, Syria, between February and August 2024. The study examines the several potential risk factors including age, sex, genetic predispositions, and lifestyle factors such as smoking and alcohol consumption. It also explores the most commonly encountered tumor grade and the presence of various neurological symptoms, as well as treatment outcomes. A total of 30 glioblastoma were enrolled in this study, 63% of which were males, and the highest age incidence was between 40 and 50 years. Only 6% had a family history of glioblastoma, and 66% of the patients were smokers. Memory disorders, visual impairments, and headaches were common symptoms, with 100% of the patients reporting nausea and vomiting. Glioblastoma diagnosis was primarily established through MRI with contrast (76%), and the predominant treatment modality was surgery combined with radiotherapy and chemotherapy (80%). Post-treatment relapse occurred in 26% of the patients, with a median remission period of four months. These findings provide important insights into the clinical characteristics and treatment outcomes of glioblastoma patients in this region.

Radiomics for Predicting Prognostic Factors in Breast Cancer: Insights from Contrast-Enhanced Mammography (CEM).

Objectives: To evaluate the correlation between radiomic features extracted from contrast-enhanced mammography (CEM) tumor lesions and peritumoral background with prognostic factors in breast cancer (BC). Methods: In this retrospective, single-center study, 134 women with histologically confirmed breast cancer underwent CEM examination. Radiomic features were extracted from manually segmented lesions and lesion contours were automatically delineated using PyRadiomics. The extracted features were categorized into seven classes: First-order Features, Shape Features (2D), Gray Level Co-occurrence Matrix (GLCM), Gray Level Run Length Matrix (GLRLM), Gray Level Size Zone Matrix (GLSZM), and Neighboring Gray Tone Difference Matrix (NGTDM). Histological examination assessed tumor type, grade, receptor structure (ER, PgR, HER2), Ki67 index, and lymph node involvement. Pearson correlation and multivariate regression were applied to evaluate associations between radiomic features and prognostic factors. Results: Significant correlations were found between First-order Features and prognostic factors such as ER, PgR, and Ki67 (p < 0.05). GLCM-based texture features showed strong associations with Ki67 and HER2 (p < 0.01). Radiomic features from peritumoral regions, especially shape and GLSZM metrics, were significantly correlated with Ki67 and lymph node involvement. Conclusions: Radiomic analysis of both tumor and peritumoral regions offers significant insights into BC prognosis. These findings support the integration of radiomics into personalized diagnostic and therapeutic strategies, potentially improving clinical decision making in BC management.

Preoperative subjective impairments in language and memory in brain tumor patients.

Subjective reports can reveal relevant information regarding the nature of the impairment of brain tumor patients, unveiling potential gaps in current assessment practices. The co-occurrence of language and memory impairments has been previously reported, albeit scarcely. The aim of this study is therefore to understand the co-occurrence of subjective language and memory complaints in the preoperative state of brain tumor patients and its impact on Quality of Life (QoL). 31 brain tumor patients (12 LGG, 19 HGG) underwent a semi-structured interview to assess subjective complaints of language deficits, co-occurrences between language and memory dysfunction, and changes in QoL. Group and subgroup analyses were conducted to provide general and tumor grade specific data. 48.4% of patients mentioned co-occurrence of language and memory impairments in reading, writing, and conversation. The HGG group reported co-occurrences in all three of these (reading: 31.6%; writing: 21.1%; conversation: 26.3%), while the LGG only described co-occurrences in reading (25%) and conversation (8.3%), although these were not statistically significant. All patients with co-occurring language and memory deficits reported these to be linked to reduced QoL (48.4%). In patients with an HGG, this number was slightly higher (52.6%) than in patients with an LGG (41.7%). Language impairments co-occur with memory dysfunction as perceived in patients' daily life. Patients see these impairments as affecting their quality of life. Further attention to dedicated language and memory tasks seems necessary.

A retrospective multicenter study of WHO 2021 classification-diagnosed solitary fibrous tumor of the CNS in a population from Lombardy, Italy.

In this retrospective, multicenter study, we collected patients withsolitary fibrous tumor-SFT-of the CNS followed in eight hospitals in Lombardia from 2004 to 2019, revising the diagnosis according to the WHO 2021 classification. Clinical data were analyzed at diagnosis and during follow-up. Overall, 57 patients were enrolled, of whom 52.6% female. Median age was 54, 91% had an intracranial tumor and 9% a spinal location. 49% patients had grade 1, 31.5% grade 2 and 19% grade 3 tumor. After a median follow-up of84months, 49% of the patients had progressed and 8.7% had died. Gross tumor resection was obtained in 70%, subtotal in 26.3%, partial in 1.7% and biopsy in 1.7%.15.7% (n = 9) of patients developed extra-CNS metastases, mainly involving bone, lung and liver, six of these were grade 3 and 3 were grade 2 at first diagnosis. 14 patients (24.5%) underwent radiation therapy, 3 chemotherapy and one received liver transplant. The 14 radiation-treated patients included all grade 3 and 3 grade 2 with partial or subtotal resection. Only tumor grade had a prognostically significant impact on PFS at univariate analysis, while age had not. All but one case displayed nuclear expression for STAT6, the remaining case showed diffuse expression of CD34. Whereas grade 3 was confirmed as a prognostically relevant factor, partially overlapping behaviours were detected in patients usually considered at low (all grade 1 and grade 2 with gross total resection) versus moderate risk (grade 2 with biopsy or non-gross total resection).

NanoString nCounter-Based Assay for Detection of Fusion-Associated Salivary Gland Tumors.

Salivary gland tumors include numerous subtypes that vary from benign to highly aggressive, with many showing overlapping histopathological features that can make diagnosis challenging. Most subtypes express driver fusion genes that are tumor specific, and detection of such fusions is useful for differentiating amongst specific diagnoses, determining appropriate tumor grading, and guiding effective treatment. Currently, fusions can be detected by FISH, RT-PCR or through next-generation sequencing approaches, all of which are highly effective methodologies but can be costly or time consuming. We developed a rapid NanoString nCounter platform-based assay to detect salivary gland tumor fusions using a combination of fusion junction-specific probes and an approach through differential exon expression analysis. The assay includes 68 junction-specific probes and analysis of exon expression across 9 fusion-associated genes in a single multiplex assay. Out of 55 retrospective and 171 prospective cases assayed, we accurately detected the majority of cases of pleomorphic adenoma, adenoid cystic carcinoma, cribriform adenocarcinoma, clear cell carcinoma, secretory carcinoma and NUT-rearranged carcinoma, including cases of these tumor types arising in non-salivary gland sites, with the major drawback being an inability to detect MAML2-containing mucoepidermoid samples. With mucoepidermoid carcinoma excluded, the assay shows an overall sensitivity of 96.1% and specificity of 100%. We show that the majority of salivary gland tumor fusions can be effectively detected with a single rapid NanoString based assay, which can serve as a useful adjunctive tool for routine diagnostic head and neck pathology. The assay is low cost with a rapid turnaround time (30h total assay time per sample batch, with minimal technician input required) compared to alternate detection methods.

Experimental and in silico analysis of LINC01279 expression in tumor of patients with breast cancer.

Breast cancer (BC) is characterized by the increase of malignant cells in the breast. The malignant cells begin in the lining of the breast milk glands or ducts (ductal epithelium). BC is the most frequent cancer in women, but it may also occur in males. Long non-coding RNAs (lncRNA) have been demonstrated to control the development and incidence of cancer. However, some lncRNAs experience potential changes in BC, but their role has not been well studied. LINC01279 is known as a valuable biomarker in gastric cancer but has not yet been studied in BC. Changes in LINC01279 expression levels in BC samples were investigated by microarray. Q-PCR was also used to evaluate the expression of LINC01279 in the tumor and normal adjacent samples of 30 BC patients. The LINC01279 co-expressed gene module was discovered using weighted gene correlation network analysis (WGCNA) on the relevant dataset. The top ten hub genes were determined using gene ontology (GO) functional enrichments on the co-expressed gene module. The results of the bioinformatics study showed an increase in LINC01279 expression levels (log2FC = 3.228749561, adj.P.Val = 1.69E - 12) in tumor samples compared to normal marginal tissue. Q-PCR results also showed a significant increase in LINC01279 expression (P-value = 0.0005) in tumor samples. WGCNA analysis identified that the black module is the LINC01279 co-expressed module, and functional annotation analysis of black module genes enriched in significant cancer-related pathways and processes, including cell growth and/or maintenance, regulation of immune response, regulation of cell proliferation, and epithelial-to-mesenchymal transition (EMT). Regarding the real-time PCR results, the analysis of expression patterns has illuminated a distinct association between the heightened expression levels of LINC01279, and the stages of cancer progression as well as the metastatic potential of tumors. However, intriguingly, our observations have failed to reveal any statistically significant correlations between the relative expression of LINC01279 and tumor grade classification, or the presence of ER, PR, and HER2 biomarkers. The present study could provide a new perspective on the molecular regulatory. Processes associated with BC pathogenic mechanisms are linked to the LINC01279, although further research is needed on the possible role of this lncRNA in BC.

Correlation of degree and pattern of contrast enhancement on Magnetic Resonance Imaging with histopathological grade of intracranial astrocytoma

Background/Objective: Astrocytomas, a type of glioma, require accurate grading to guide treatment. This study evaluates the correlation between MRI contrast enhancement and histopathological grades of astrocytomas. Methods: A cross-sectional study of 37 patients with biopsy-confirmed astrocytomas was conducted. Non-probability or purposive sampling was carried out. MRI scans assessed contrast enhancement characteristics, and tumors were classified radiologically and histopathologically. Results: The age range of the patients was 11 to 74 years and mean age was 40.25±16.04 years. The male to female ratio was 4:1. Headache was the most common presenting symptoms (95%). Most of the tumors were located at the cerebral hemispheres (78%). None or slight contrast enhancement was found in 17 (46%) and the pattern of contrast enhancement was heterogeneous in 24 (65%) patients. Maximum 20 (54%) patients had high grade astrocytoma. In the present study, 85% high grade astrocytoma showed moderate to marked whereas 82.4% low grade astrocytoma showed none or slight contrast enhancement. Sensitivity &amp; specificity of contrast enhanced MRI was 82.4% and 85% respectively. The overall accuracy was 83.78%. Conclusion: MRI is a reliable non-invasive tool for grading astrocytomas, with strong correlation between contrast enhancement and tumor grade, supporting its use in clinical decision-making. J Shaheed Suhrawardy Med Coll 2023; 15(1): 13-19

Artificial Intelligence in Head and Neck Cancer Diagnosis: A Comprehensive Review with Emphasis on Radiomics, Histopathological, and Molecular Applications.

The present review discusses the transformative role of AI in the diagnosis and management of head and neck cancers (HNCs). Methods: It explores how AI technologies, including ML, DL, and CNNs, are applied in various diagnostic tasks, such as medical imaging, molecular profiling, and predictive modeling. Results: This review highlights AI's ability to improve diagnostic accuracy and efficiency, particularly in analyzing medical images like CT, MRI, and PET scans, where AI sometimes outperforms human radiologists. This paper also emphasizes AI's application in histopathology, where algorithms assist in whole-slide image (WSI) analysis, tumor-infiltrating lymphocytes (TILs) quantification, and tumor segmentation. AI shows promise in identifying subtle or rare histopathological patterns and enhancing the precision of tumor grading and treatment planning. Furthermore, the integration of AI with molecular and genomic data aids in mutation analysis, prognosis, and personalized treatment strategies. Conclusions: Despite these advancements, the review identifies challenges in AI adoption, such as data standardization and model interpretability, and calls for further research to fully integrate AI into clinical practice for improved patient outcomes.

Association between Radiological and First-Order Statistical Features of the Mammogram, and the Tumor Phenotype in Breast Cancer Patients

Background: Breast cancer is among the most prevalent cancers which can effectively be screened by mammography. The spatial distribution of grey levels of the mammogram known as first-order statistical features (FOSFs) contain higher dimensional data which describe the breast composition. We aim to test these basic measures to differentiate density categories in breast cancer patients, and use them as covariates to investigate the relationship between radiologic and pathologic features of the tumor. Methods: Data from Eighty-five breast cancer subjects, their BI-RADS breast density category (a to d), percentage density (PD), and FOSFs of the mammogram including median, mean, interquartile range, kurtosis, maximum, minimum, standard deviation, skewness, and energy, were extracted. The tumor grade and the percentage of Ki67, ER, PR, and Her2 status were recorded. A linear discriminant analysis, and a support vector machine (SVM) were used to discriminate each density category from others. Then, the relation between variables were investigated using ANCOVA and regression analysis. Results: Density categories a and d were classified by SVM with high accuracy. The key feature of a and d were interquartile range and maximum intensities respectively. Reported tumor margins were related to Her2 overexpression and PR positivity. Spiculated tumor margin predicted percentage of PR expression, with a cumulative odds ratio of 7.85 (CI 2.5- 24.78), when adjusted for age, area of breast, density, and FOSFs, (p=0.0004). Conclusion: The findings of this study suggest that FOSFs can be incorporated in computer-aided systems to adjust for differences in breast composition and to refine risk profiles.

Expression of CD44 in Triple Negative Breast Cancer and its Correlation with Prognostic Parameters

Background: The study aims to evaluate CD44 expression as a cancer stem cell marker in Triple-negative breast cancer (TNBC) and its correlation with prognostic parameters. Evaluation of CD44 immunoexpression in TNBC is vital for understanding tumour aggressiveness and determining its prognostic value. Methods: A hospital based cross sectional study of 50 cases of primary triple negative breast cancer patients. The tissue sections were subjected to immunohistochemical examination using CD44 antigen marker. The proportion and intensity of CD44 immunostaining was assessed and correlation with prognostic markers such as histological grade, tumor size and nodal status. Results: CD44 expression was observed in 40% of the total cases with a statistically significant association with histological grade (p-value= 0.002). Higher CD44 expression was noticed with increasing tumour grade. However, no statistical significance was observed with respect to tumour size and nodal status. Conclusion: The study suggests that CD44 immunoexpression may serve as a surrogate marker of BCSCs and may hold prognostic value in TNBC patients. However, further studies on larger samples are required to fully understand its role.

WRAD core perturbation impairs DNA replication fidelity promoting immunoediting in pancreatic cancer.

It is unclear how cells counteract the potentially harmful effects of uncoordinated DNA replication in the context of oncogenic stress. Here, we identify the WRAD (WDR5/RBBP5/ASH2L/DPY30) core as a modulator of DNA replication in pancreatic ductal adenocarcinoma (PDAC) models. Molecular analyses demonstrated that the WRAD core interacts with the replisome complex, with disruption of DPY30 resulting in DNA re-replication, DNA damage, and chromosomal instability (CIN) without affecting cancer cell proliferation. Consequently, in immunocompetent models, DPY30 loss induced T cell infiltration and immune-mediated clearance of highly proliferating cancer cells with complex karyotypes, thus improving anti-tumor efficacy upon anti-PD-1 treatment. In PDAC patients, DPY30 expression was associated with high tumor grade, worse prognosis, and limited response to immune checkpoint blockade. Together, our findings indicate that the WRAD core sustains genome stability and suggest that low intratumor DPY30 levels may identify PDAC patients who will benefit from immune checkpoint inhibitors.

Osteopontin is a therapeutic target that drives breast cancer recurrence

Recurrent breast cancers often develop resistance to standard-of-care therapies. Identifying targetable factors contributing to cancer recurrence remains the rate-limiting step in improving long-term outcomes. In this study, we identify tumor cell-derived osteopontin as an autocrine and paracrine driver of tumor recurrence. Osteopontin promotes tumor cell proliferation, recruits macrophages, and synergizes with IL-4 to further polarize them into a pro-tumorigenic state. Macrophage depletion and osteopontin inhibition decrease recurrent tumor growth. Furthermore, targeting osteopontin in primary tumor-bearing female mice prevents metastasis, permits T cell infiltration and activation, and improves anti-PD-1 immunotherapy response. Clinically, osteopontin expression is higher in recurrent metastatic tumors versus female patient-matched primary breast tumors. Osteopontin positively correlates with macrophage infiltration, increases with higher tumor grade, and its elevated pathway activity is associated with poor prognosis and long-term recurrence. Our findings suggest clinical implications and an alternative therapeutic strategy based on osteopontin’s multiaxial role in breast cancer progression and recurrence.

Roles of miR-20a-5p in breast cancer based on the clinical and multi-omic (CAMO) cohort and in vitro studies

MicroRNAs are involved in breast cancer development and progression, holding potential as biomarkers and therapeutic targets or tools. The roles of miR-20a-5p, a member of the oncogenic miR-17-92 cluster, remain poorly understood in the context of breast cancer. In this study, we elucidate the role of miR-20a-5p in breast cancer by examining its associations with breast cancer risk factors and clinicopathological features, and its functional roles in vitro. Tissue microarrays from 313 CAMO cohort breast cancer surgical specimens were constructed, in situ hybridization was performed and miR-20a-5p expression was semiquantitatively scored in tumor stromal fibroblasts, and in the cytoplasm and nuclei of cancer cells. In vitro analysis of the effect of miR-20a-5p transfection on proliferation, migration and invasion was performed in three breast cancer cell lines. High stromal miR-20a-5p was associated with higher Ki67 expression, and higher odds of relapse, compared to low expression. Compared to postmenopausal women, women who were premenopausal at diagnosis had higher odds of high stromal and cytoplasmic miR-20a-5p expression. Cytoplasmic miR-20a-5p was significantly associated with tumor grade. In tumors with high cytoplasmic miR-20a-5p expression compared to low expression, there was a tendency towards having a basal-like subtype and high Ki67. In contrast, high nuclear miR-20a-5p in cancer cells was associated with smaller tumor size and lower odds of lymph node metastasis, compared to low nuclear expression. Transfection with miR-20a-5p in breast cancer cell lines led to increased migration and invasion in vitro. While the majority of our results point towards an oncogenic role, some of our findings indicate that the associations of miR-20a-5p with breast cancer related risk factors and outcomes may vary based on tissue- and subcellular location. Larger studies are needed to validate our findings and further investigate the clinical utility of miR-20a-5p.

Accuracy of pre-operative tumor size assessment compared to final pathology and frequency of adjuvant treatment in patients with FIGO 2018 stage IB2 cervical cancer

ObjectiveThe primary aim of our study was to compare tumor size assessment by pre-operative evaluation (physical examination and/or imaging) with tumor size on final pathology. As a secondary outcome, we...