The association between non-HDL cholesterol and high-grade pancreatic neuroendocrine neoplasms.

PURPOSE: High-density lipoprotein cholesterol (HDL-c) plays an important role in tumorigenesis in several endocrine-related cancers. Few studies have shown the effect of non-HDL-c in malignant tumors. The present study aimed to identify the association between non-HDL-c and high-grade pancreatic neuroendocrine neoplasms (PNENs). METHODS: A total of 197 PNEN patients who underwent surgery were analyzed retrospectively. Clinical and histopathological features, such as patients' age and sex, tumor location and size, tumor grade, the level of serum total cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL-c), low-density lipoprotein cholesterol (LDL-c) and fasting plasma-glucose levels were obtained. Non-HDL-c was calculated as total cholesterol - HDL-c. The relationships between those features and high-grade PNENs were identified using logistic regression analysis. RESULTS: Among the 197 patients with PNENs, a lower HDL-c level was more common seen in patients with poorly differentiated PNENs than in those with well-differentiated PNENs (P < 0.05). The non-HDL-c/HDL-c ratio was greater in patients with poorly differentiated PNENs than in those with well-differentiated PNENs (P < 0.01). Similarly, a greater proportion of patients with a non-HDL-c/HDL-c ratio larger than 5 was found in patients with poorly differentiated PNENs than in those with well-differentiation PNENs (P < 0.01). Multivariate logistic analysis showed that the non-HDL-c/HDL-c ratio was positively associated with poorly differentiated PNENs (odds ratio (OR) = 1.45, 95% conference interval (CI):1.13-1.87). Similarly, the risk of poorly differentiated PNENs increased significantly in patients with a non-HDL-c/HDL-c greater than 5 (OR = 14.13, 95%CI: 2.98-66.89). The risk of high-grade PNENs increased in patients with a high non-HDL-c/HDL-c ratio (OR = 1.27, 95% CI: 1.04-1.55), and the risk also increased markedly when the ratio was greater than 5 (OR = 5.00, 95%CI: 1.28-19.49). CONCLUSIONS: A high ratio of non-HDL-c/HDL-c was associated with high-grade PNENs or poorly differentiated PNENs.

Updated endometrial cancer FIGO staging: the role of MRI in determining newly included histopathological criteria.

PURPOSE: Endometrial cancer (EC) is among the prevalent malignancies in gynecology, showing an increasing occurrence and mortality rate. The updated 2023 FIGO staging integrates both histopathological and molecular analyses, which significantly impact the prognosis and treatment approaches. This research aims to examine the effectiveness of MRI in identifying essential histopathological tumor features, including histological subtype, grade, and lymphovascular space invasion. METHODS: A total of 106 patients diagnosed with EC from February 2018 to December 2023 underwent preoperative pelvic MRI. Surgical procedures followed ESMO guidelines, with histopathological assessments using FIGO 2009 criteria. Two radiologists independently evaluated MRI images, measuring maximum tumor size, minimum tumor ADC value (using a free-hand ROI technique), and ADC tumor/myometrium ratio. MRI findings were compared with histopathological data. RESULTS: Peritoneal implant presence and tumor size exhibited significant differences between endometrioid adenocarcinoma (EAC) and non-endometrioid endometrial carcinoma (NEEC), with p values of < 0.001 and 0.003, respectively. Significant differences in age, tumor size, ADC tumor, and ADC tumor/myometrium between low-grade and high-grade tumors were observed, with p values of < 0.001, 0.004, 0.006, and 0.011, respectively. Increased tumor size, reduced ADC tumor, ADC tumor/myometrium, and pelvic peritoneal implant presence were significantly associated with LVSI, with p values of < 0.001, 0.001, 0.002, and 0.001, respectively. The AUC values for tumor size, ADC tumor, and ADC tumor/myometrium were 0.842, 0.781 and 0.747, respectively, in distinguishing between low and high-grade endometrial tumors. Similarly, obtained AUC values for predicting LVSI were 0.836, 0.719, and 0.696, respectively. CONCLUSION: Our study emphasizes MRI's role in predicting tumor characteristics such as histological subtype, grade, and LVSI based on updated FIGO criteria. By highlighting the potential of MRI, this research contributes to our comprehension of improving diagnostic and clinical management for EC. Further multicenter studies are warranted to validate these findings and establish MRI's role in EC management.

Differential analysis of histopathological and genetic markers of cancer aggressiveness, and survival difference in EBV-positive and EBV-negative prostate carcinoma.

Several studies have shown an association between prostate carcinoma (PCa) and Epstein-Barr virus (EBV); however, none of the studies so far have identified the histopathological and genetic markers of cancer aggressiveness associated with EBV in PCa tissues. In this study, we used previously characterized EBV-PCR-positive (n = 39) and EBV-negative (n = 60) PCa tissues to perform an IHC-based assessment of key histopathological and molecular markers of PCa aggressiveness (EMT markers, AR expression, perineural invasion, and lymphocytic infiltration characterization). Additionally, we investigated the differential expression of key oncogenes, EMT-associated genes, and PCa-specific oncomiRs, in EBV-positive and -negative tissues, using the qPCR array. Finally, survival benefit analysis was also performed in EBV-positive and EBV-negative PCa patients. The EBV-positive PCa exhibited a higher percentage (80%) of perineural invasion (PNI) compared to EBV-negative PCa (67.3%) samples. Similarly, a higher lymphocytic infiltration was observed in EBV-LMP1-positive PCa samples. The subset characterization of T and B cell lymphocytic infiltration showed a trend of higher intratumoral and tumor stromal lymphocytic infiltration in EBV-negative tissues compared with EBV-positive tissues. The logistic regression analysis showed that EBV-positive status was associated with decreased odds (OR = 0.07; p-value < 0.019) of CD3 intratumoral lymphocytic infiltration in PCa tissues. The analysis of IHC-based expression patterns of EMT markers showed comparable expression of all EMT markers, except vimentin, which showed higher expression in EBV-positive PCa tissues compared to EBV-negative PCa tissues. Furthermore, gene expression analysis showed a statistically significant difference (p < 0.05) in the expression of CDH1, AR, CHEK-2, CDKN-1B, and CDC-20 and oncomiRs miR-126, miR-152-3p, miR-452, miR-145-3p, miR-196a, miR-183-3p, and miR-146b in EBV-positive PCa tissues compared to EBV-negative PCa tissues. Overall, the survival proportion was comparable in both groups. The presence of EBV in the PCa tissues results in an increased expression of certain oncogenes, oncomiRs, and EMT marker (vimentin) and a decrease in CD3 ITL, which may be associated with the aggressive forms of PCa.

Sarcomatoid Dedifferentiation as a Predictor of Cancer-Specific Mortality in Surgically Treated Localized Renal Cell Carcinoma.

BACKGROUND: In contemporary surgically treated patients with localized high-grade (G3 or G4) clear-cell renal cell carcinoma (ccRCC), it is not known whether presence of sarcomatoid dedifferentiation is an independent predictor and/or an effect modifier, when cancer-specific mortality (CSM) represents an endpoint. METHODS: Within the Surveillance, Epidemiology, and End Results database, all surgically treated localized high-grade ccRCC patients treated between 2010 and 2020 were identified. Univariable and multivariable Cox-regression models were used. RESULTS: In 18,853 surgically treated localized high-grade (G3 or G4) ccRCC patients, 5-year CSM-free survival was 87% (62% vs. 88% with vs. without sarcomatoid dedifferentiation, p < 0.001). Presence of sarcomatoid dedifferentiation was an independent predictor of higher CSM (hazard ratio [HR] 1.8, p < 0.001). In univariable survival analyses predicting CSM, presence versus absence of sarcomatoid dedifferentiation in G3 versus G4 yielded the following hazard ratios: HR 1.0 in absent sarcomatoid dedifferentiation in G3; HR 2.7 (p < 0.001) in absent sarcomatoid dedifferentiation in G4; HR 3.9 (p < 0.001) in present sarcomatoid dedifferentiation in G3; HR 5.1 (p < 0.001) in present sarcomatoid dedifferentiation in G4. Finally, in multivariable Cox-regression analyses, the interaction terms defining present versus absent sarcomatoid dedifferentiation in G3 versus G4 represented independent predictors of higher CSM. CONCLUSIONS: In contemporary surgically treated patients with localized high-grade ccRCC, sarcomatoid dedifferentiation is not only an independent multivariable predictor of higher CSM, but also interacts with tumor grade and results in even better ability to predict CSM.

2012 Briganti nomogram predict prostate cancer progression in EAU intermediate risk with unfavorable tumor grade: A single center experience.

BACKGROUND: To investigate the potential prognostic impact of Briganti's 2012 nomogram in EAU intermediate-risk patients presenting with an unfavorable tumor grade and treated with robot-assisted radical prostatectomy, eventually associated with extended pelvic lymph node dissection. MATERIALS AND METHODS: From January 2013 to December 2021, the study included 179 EAU intermediate-risk patients presenting with an unfavorable tumor grade (ISUP 3), eventually associated with a PSA of 10-20 ng/ml and/or cT-2b. Briganti's 2012 nomogram was assessed as both a continuous and dichotomous variable, categorized according to the median (risk score ⩾7% vs <7%). Disease progression, defined as biochemical recurrence and/or metastatic progression, was evaluated using Cox proportional hazards in both univariate and multivariate analyses. RESULTS: Disease progression occurred in 43 (24%) patients after a median (95% CI) follow-up of 78 (65.7-88.4) months. The nomogram risk score predicted disease progression, evaluated both as a continuous variable (hazard ratio, HR = 1.064; 95% CI: 1.035-1.093; p < 0.0001) and as a categorical variable (HR = 3.399; 95% CI: 1.740-6.638; p < 0.0001). This association was confirmed in multivariate analysis, where hazard ratios remained consistent even after adjusting for clinical and pathological factors. CONCLUSIONS: In EAU intermediate-risk PCa cases presenting with an unfavorable tumor grade and treated surgically, Briganti's 2012 nomogram was associated with disease progression after surgery. Consequently, as the nomogram risk score increased, patients were more likely to experience PCa progression, facilitating the stratification of the patient population into distinct prognostic subgroups.

Prognostic Significance of Nuclear Factor Kappa B (p65) among Breast Cancer Patients in Cape Coast Teaching Hospital.

Breast cancer is the most prevalent cancer among African women, with high mortality rates in Ghana. Nuclear factor kappa B (NF-kB) has been associated with tumor progression in breast cancer. However, its clinical validation is controversial and understudied with no known published data on NF-kB (p65) among breast cancer patients in Ghana and other African countries. This study assessed the prognostic significance of NF-kB (p65) expression and its association with various clinicopathological features in breast cancer patients. Ninety formalin-fixed breast cancer tissues and 15 normal breast tissues were used to determine the expression of NF-kB (p65) using immunohistochemistry. We explored the correlation between expression of NF-kB (p65) and clinicopathological features. NF-kB (p65) was expressed in 86.7% of breast cancer tissues. There was a significant relationship between NF-kB (p65) expression and tumor grade, proliferation index (Ki67), and molecular subtype. High NF-kB (p65) expression in tumor grade 3 was about 10 times that of grade 1 (54.2% vs. 5.1%), and Ki67 > 20 was 79.7% compared to 20.3% for Ki67 ≤ 20. Patients with triple-negative breast cancer (TNBC) had 49.1% overexpression of NF-kB (p65) compared to 17%, 25.4%, and 8.5% for luminal A, luminal B, and HER2 cases, respectively. This study demonstrates that NF-kB (p65) was highly expressed among breast cancer patients at Cape Coast Teaching Hospital, Ghana, especially in TNBC. NF-kB (p65) could serve as a biomarker for cancer stage, progression, prognosis and as a therapeutic target.

Immunohistochemical study of CD74 biomarker in normal and malignant breast tissues.

OBJECTIVE: Aim: To detect the role of CD74 expression in breast carcinoma as a predictive marker for identifying the biological behavior of malignancy in Iraqi women.. PATIENTS AND METHODS: Materials and Methods: The study used technique of immunohistochemistry for detection CD74 protein role in breast cancer, and its expression in breast cancer tissue samples. Samples were collected in Al-Najaf city in Iraq, from Al-Forat Al-Awsat Oncology Center. The study was achieved at the Laboratories of the Faculty of Science in the University of Kufa. Fifty samples of breast cancer tissue, and twenty controls benign tissue were included in the study. The study has investigated relationship between expression of biomarker with grade, age of patient and tumor size. RESULTS: Results: The study showed that the cytoplasmic expression of CD74 with more clear and intensive staining in the cytoplasm, and reported that CD74 positivity rate was 52%. A significant association between CD74 expression and grade and size of tumor, so CD74 can be considered as a biomarker for prediction of breast cancer in women. No association was found between CD74 expression and each of patients' age and node metastasis. CONCLUSION: Conclusions: The study represents an important step in our region because there are a few studies about this topic; more efforts are required to approve the function of this biomarker.

Impact of grade on workup of rectal neuroendocrine tumors: a retrospective cohort study : Grade impact on workup of rectal NETs.

BACKGROUND: Rectal neuroendocrine tumors (RNETs) are often discovered on screening colonoscopy. Indications for staging and definitive resection are inconsistent in current guidelines. We evaluated the role of grade in guiding staging and procedural decision-making. METHODS: Patients with biopsy confirmed RNETs between 2004 and 2015 were reviewed. Baseline characteristics, staging investigations (biochemical and imaging), and endoscopic/surgical treatment were recorded. Associations between grade, preoperative staging, interventions, and survival were determined using Fisher-Freeman-Halton Exact, log-rank, and Kaplan-Meier analysis. RESULTS: Amongst 139 patients with RNETs, 9% were aged ≥ 75 years and 44% female. Tumor grade was: 73% grade 1 (G1), 18%, grade 2 (G2) and 9% grade 3 (G3). Staging investigations were performed in 52% of patients. All serum chromogranin A and 97% of 24-hour urine 5-hydroxyindoleacetic acid tests were normal. The large majority of staging computed tomography (CT) scans were negative (76%) with subgroup analysis showing no G1 patients with CT identified distant disease compared with 38% of G2 and 50% of G3 patients (p < 0.001). G1 patients were more likely to achieve R0/R1 resections compared to G2 (95% vs. 50%, p < 0.001) and G1 patients had significantly better 5-year overall survival (G1: 98%, G2: 67%, G3: 10%, p < 0.001). CONCLUSION: Tumor grade is important in preoperative workup and surgical decision-making. Biochemical staging may be omitted but staging CT should be considered for patients with grade ≥ 2 lesions. Anatomic resections should be considered for patients with grade 2 disease.

The effects of ANRIL polymorphisms on colorectal cancer, tumor stage, and tumor grade among Iranian population.

BACKGROUND: Colorectal cancer (CRC) is a type of neoplasm, developing in the colon or rectum. The exact etiology of CRC is not well known, but the role of genetic, epigenetic, and environmental factors are established in its pathogenesis. Therefore, the aim of this research was to explore the effects of ANRIL polymorphisms on the CRC and its clinical findings. METHODS AND RESULTS: The peripheral blood specimens were collected from 142 CRC patients and 225 controls referred to Milad Hospital, Tehran, Iran. PCR- RFLP method was used to analyze ANRIL rs1333040, rs10757274 rs4977574, and rs1333048 polymorphisms. The ANRIL rs1333040 polymorphism was related to a higher risk of CRC in the co-dominant, dominant, and log-additive models. ANRIL rs10757274, rs4977574, and rs1333048 polymorphisms showed no effect on CRC susceptibility. The CGAA and TGGA haplotypes of ANRIL rs1333040/ rs10757274/ rs4977574/rs1333048 polymorphisms were associated with the higher and the lower risk of CRC respectively. The rs1333040 polymorphism was associated with higher TNM stages (III and IV). The frequency of ANRIL rs10757274 polymorphism was lower in CRC patients over 50 years of age only in the dominant model. In addition, the rs10757274 was associated with well differentiation in CRC patients. CONCLUSION: The ANRIL rs1333040 polymorphism was associated with a higher risk of CRC and higher TNM stages. ANRIL rs10757274 polymorphism was associated with the well-differentiated tumor in CRC.

Uterine adenosarcoma: Clinical significance of histological classification and SNP array analysis.

Mullerian adenosarcoma is a rare malignant biphasic tumor. The mesenchymal component may be low or high grade, with or without sarcomatous overgrowth (SO). Little is known about the molecular heterogeneity of these tumors. In this study, we aim to reclassify a large retrospective monocentric cohort of uterine adenosarcomas according to tumor grade and SO, to evaluate the clinical significance of pathological classification and to correlate with copy-number variations inferred from single nucleotide polymorphism array. Of the 67 uterine adenosarcomas, 18 (26.9%) were low grade without SO, 7 (10.4%) low grade with SO, 8 (11.9%) high grade without SO and 34 (50.7%) high grade with SO. SO, necrosis and RMS were more frequent in high grade than low grade adenosarcomas (p < 0.001). Low-rank test showed that recurrence-free survival was significantly shortened in high grade than low grade adenosarcomas (p = 0.035) and SO was associated with shortened overall and recurrence-free survival (p = 0.038 and p = 0.009, respectively). High-grade tumors displayed complex genomic profiles with multiple segmental losses including TP53, ATM and PTEN genes. The median genomic index was significantly higher in high grade than low grade tumors (27 [3-60] vs 5,3 [0-16], p < 0.0001) and was significantly higher in presence of SO in low grade tumors (12,8 [10-16] vs 2,6 [0-10], p = 0.0006). We propose to report sarcomatous overgrowth with the tumor grade for prognostication in adenosarcoma and representative sampling is crucial for evaluation of these histological criteria.

Impact of [11C]methionine PET with Bayesian penalized likelihood reconstruction on glioma grades based on new WHO 2021 classification.

OBJECTIVE: The uptake of [11C]methionine in positron emission tomography (PET) imaging overlapped in earlier images of tumors. Bayesian penalized likelihood (BPL) reconstruction increases the quantitative values of tumors compared with conventional ordered subset-expectation maximization (OSEM). The present study aimed to grade glioma malignancy based on the new WHO 2021 classification using [11C]methionine PET images reconstructed using BPL. METHODS: We categorized 32 gliomas in 28 patients as grades 2/3 (n = 15) and 4 (n = 17) based on the WHO 2021 classification. All [11C]methionine images were reconstructed using OSEM + time-of-flight (TOF) and BPL + TOF (ß = 200). Maximum standardized uptake value (SUVmax) and tumor-to-normal tissue ratio (T/Nmax) were measured at each lesion. RESULTS: The mean SUVmax was 4.65 and 4.93 in grade 2/3 and 6.38 and 7.11 in grade 4, and the mean T/Nmax was 7.08 and 7.22 in grade 2/3 and 9.30 and 10.19 in grade 4 for OSEM and BPL, respectively. The BPL significantly increased these values in grade 4 gliomas. The area under the receiver operator characteristic (ROC) curve (AUC) for SUVmax was the highest (0.792) using BPL. CONCLUSIONS: The BPL increased mean SUVmax and mean T/Nmax in lesions with higher contrast such as grade 4 glioma. The discrimination power between grades 2/3 and 4 in SUVmax was also increased using [11C]methionine PET images reconstructed with BPL.

Immunohistochemical and molecular evaluation of TUSC2 expression in breast cancer.

OBJECTIVE: Tumor suppressor candidate 2 has shown to be deleted in lung, colon, and bladder cancer types. In the present study, we aimed to investigate the expression of TUSC2 in breast cancer. MATERIALS AND METHODS: A total of thirty patients with breast cancer were included in the study. Normal and tumor tissue samples from fresh mastectomy materials were stored at -80 C until the number of cases was completed for gene expression analysis. Histopathological examination was carried out with routine hematoxylin & eosin method. TUSC2 staining was performed for immunohistochemical analysis. RESULTS: The tumors of thirteen patients were Luminal A, fourteen patients were Luminal B, one patient was cerbB2(+), and tumors of two patients were triple-negative. Ki67 proliferation index was less than 14% in fifteen cases and tumor size was less than 2 cm in seven cases. Lymphovascular invasion and lymph node metastasis were present in thirteen cases. Statistically, TUSC2 expression significantly decreased or was lost in breast tumor tissues compared to normal tissues (p < 0.0001). TUSC2 expression decreased as the Ki67 proliferation index increased (p = 0.0003), and TUSC2 expression decreased as tumor size increased (p = 0.0483). The loss or decrease in the TUSC2 expression was significant as the tumor grade increased (p = 0.3740). Gene expression analysis correlated with immunohistochemistry results. CONCLUSION: The results of the present study demonstrated a decrease or loss of TUSC2 expression in breast cancer tissue compared to normal tissue. A correlation was found between TUSC2 expression and Ki67 proliferation index and tumor size.

El papel del antígeno prostático específico (PSA) y el estadio patológico antes de la radioterapia en la predicción de los resultados de la resonancia magnética multiparamétrica (RMmp) en pacientes con recidiva del cancer de próstata tras prostatectomía radical / Role of PSA levels and pathological stadiation before radiation therapy in predicting mp-MRI results in patients with prostate cancer recurrence after radical prostatectomy

Objetivo Evaluar el valor del antígeno prostático específico (PSA) en la predicción de los resultados de la resonancia magnética multiparamétrica (RMmp) en pacientes con cáncer de próstata (CaP) de alto (puntuación de Gleason≥8, pT≥3, pN1) y bajo grado (puntuación de Gleason<8, pT<3, pN0). Materiales y métodos Ciento ochenta y ocho pacientes se sometieron a una RMmp de 1,5-T después de la prostatectomía radical y antes de la radioterapia. Los pacientes se dividieron en 2 grupos: el grupo A incluía pacientes con recidiva bioquímica (RB) y el grupo B pacientes sin RB pero con alto riesgo de recidiva local. Teniendo en cuenta la puntuación de Gleason, pT y pN como variables de agrupación independientes, se realizaron análisis ROC de los niveles de PSA en el momento del diagnóstico del CaP primario y antes de la radioterapia con el fin de identificar el punto de corte óptimo para predecir el resultado de la RMmp. Resultados En los grupos A y B, el área bajo la curva del PSA antes de la radioterapia fue superior a la del PSA en el momento del diagnóstico del CaP, en tumores de bajo y alto grado. Para los tumores de bajo grado, la mejor área bajo la curva fue de 0,646 y 0,685 en el grupo A y B, respectivamente; para los tumores de alto grado, la mejor área bajo la curva fue de 0,705 y 1 en el grupo A y B, respectivamente. Para los tumores de bajo grado, el punto de corte óptimo del PSA fue de 0,565-0,58ng/ml en el grupo A (sensibilidad y especificidad: 70,5% y 66%), y de 0,11-0,13ng/ml en el B (sensibilidad y especificidad: 62,5% y 84,6%). Para los tumores de alto grado, el punto de corte de PSA óptimo fue de 0,265-0,305ng/ml en el grupo A (sensibilidad y especificidad: 95% y 42,1%), y de 0,13-0,15ng/ml en el grupo B (sensibilidad y especificidad: 100%). Conclusión La RMmp se debe realizar como herramienta diagnóstica complementaria siempre que se detecte una RB, especialmente en el CaP de alto grado... (AU)

Objective To evaluate prostate-specific antigen (PSA) value in multiparametric magnetic resonance imagin (mp-MRI) results prediction, analyzing patients with high (Gleason Score ≥8, pT≥3, pN1) and low grade (Gleason Score <8, pT<3, pN0) prostate cancer (PCa). Materials and methods One hundred eighty-eight patients underwent 1.5-T mp-MRI after radical prostatectomy and before radiotherapy. They were divided into 2 groups: A and B, for patients with biochemical recurrence (BCR) and without BCR but with high local recurrence risk. Considering Gleason Score, pT and pN as independent grouping variables, ROC analyses of PSA levels at primary PCa diagnosis and PSA before radiotherapy were performed in order to identify the optimal cut-off to predict mp-MRI result. Results Group A and B showed higher area under the curve for PSA before radiotherapy than PSA at PCa diagnosis, in low and high grade tumors. For low grade tumors the best area under the curve was 0.646 and 0.685 in group A and B; for high grade the best area under the curve was 0.705 and 1 in group A and B, respectively. For low grade tumors the best PSA cut-off was 0.565-0.58ng/ml in group A (sensitivity, specificity: 70.5%, 66%), and 0.11-0.13ng/ml in B (sensitivity, specificity: 62.5%, 84.6%). For high grade tumors, the best PSA cut-off obtained was 0.265-0.305ng/ml in group A (sensitivity, specificity: 95%, 42.1%), and 0.13-0.15ng/ml in B (sensitivity, specificity: 100%). Conclusion Mp-MRI should be performed as added diagnostic tool always when a BCR is detected, especially in high grade PCa. In patients without BCR, mp-MRI results, although poorly related to pathological stadiation, still have a good diagnostic performance, mostly when PSA>0.1-0.15ng/ml. (AU)

Impact of Tumor Grade Distribution on Genetic Alterations in Clear Cell Renal Cell Carcinoma and Prostate Cancer.

BACKGROUND/AIM: A genomic analysis based on next-generation sequencing is important for deciding cancer treatment strategies. Cancer tissue sometimes displays intratumor heterogeneity and a pathologic specimen may contain more than two tumor grades. Although tumor grades are very important for the cancer prognosis, the impact of higher tumor grade distribution in a specimen used for a genomic analysis is unknown. PATIENTS AND METHODS: We retrospectively analyzed the data of 61 clear cell carcinoma and 46 prostate cancer patients that were diagnosed between December 2018 and August 2022 using the GeneRead Human Comprehensive Cancer Panel or SureSelect PrePool custom Tier2. Genome annotation and curation were performed using the GenomeJack software. RESULTS: Tumor mutation burden (TMB) was increased in proportion to the higher tumor grade distribution in grade 2 clear cell renal cell carcinoma (ccRCC). In PC, Grade Group 3/4 specimens that included an increased distribution of Gleason pattern 4 had more frequent gene mutations. CONCLUSION: Our results suggest the importance of selecting the maximum distribution of higher tumor grade areas to obtain results on the precise gene alterations for genomics-focused treatments.

Evaluation of Beclin1 and mTOR genes and p62 protein expression in breast tumor tissues of Iranian patients.

Autophagy is a cellular process that plays a major role in the fate of tumor cells. Understanding the role of autophagy in cancer therapy is a major challenge, particularly for breast cancer as the sole top cause of mortality among women. In this study, we evaluated the gene expression of mTOR and Beclin1 and the levels of p62 protein, in breast tumors and compared them to a control condition. To explore the role of autophagy in breast cancer, we acquired tumor biopsies from 41 new cases of breast cancer patients. We extracted total RNA from each biopsy and used real-time PCR to quantify Beclin1 and mTOR-specific RNA expression. In addition, we evaluated the expression of the p62 protein in paraffin-embedded tumor tissue using the immunohistochemistry technique. The data revealed an upregulation of Beclin1 and a downregulation of mTOR in tumor tissues compared to the control condition. The correlation between p62 expression and Beclin1/mTOR showed a negative and positive correlation, respectively, confirming autophagy activation in the tumor tissues. However, there was no correlation between autophagy markers and tumor size, grade and stage. The findings revealed that autophagy activation was found in breast tumor tissues, suggesting that autophagy can be a target for breast cancer therapy.

Prognostic Significance of Grade Discrepancy Between Primary Tumor and Venous Thrombus in Nonmetastatic Clear-cell Renal Cell Carcinoma: Analysis of the REMEMBER Registry and Implications for Adjuvant Therapy.

BACKGROUND: Further stratification of the risk of recurrence of clear-cell renal cell carcinoma (ccRCC) with venous tumor thrombus (VTT) will facilitate selection of candidates for adjuvant therapy. OBJECTIVE: To assess the impact of tumor grade discrepancy (GD) between the primary tumor (PT) and VTT in nonmetastatic ccRCC on disease-free survival (DFS), overall survival (OS), and cancer-specific survival (CSS). DESIGN, SETTING, AND PARTICIPANTS: This was a retrospective analysis of a multi-institutional nationwide data set for patients with pT3N0M0 ccRCC who underwent radical nephrectomy and thrombectomy. OUTCOMES MEASUREMENTS AND STATISTICAL ANALYSIS: Pathology slides were centrally reviewed. GD, a bidirectional variable (upgrading or downgrading), was numerically defined as the VTT grade minus the PT grade. Multivariable models were built to predict DFS, OS, and CSS. RESULTS AND LIMITATIONS: We analyzed data for 604 patients with median follow-up of 42 mo (excluding events). Tumor GD between VTT and PT was observed for 47% (285/604) of the patients and was an independent risk factor with incremental value in predicting the outcomes of interest (all p < 0.05). Incorporation of tumor GD significantly improved the performance of the ECOG-ACRIN 2805 (ASSURE) model. A GD-based model (PT grade, GD, pT stage, PT sarcomatoid features, fat invasion, and VTT consistency) had a c index of 0.72 for DFS. The hazard ratios were 8.0 for GD = +2 (p < 0.001), 1.9 for GD = +1 (p < 0.001), 0.57 for GD = -1 (p = 0.001), and 0.22 for GD = -2 (p = 0.003) versus GD = 0 as the reference. According to model-converted risk scores, DFS, OS, and CSS significantly differed between subgroups with low, intermediate, and high risk (all p < 0.001). CONCLUSIONS: Routine reporting of VTT upgrading or downgrading in relation to the PT and use of our GD-based nomograms can facilitate more informed treatment decisions by tailoring strategies to an individual patient's risk of progression. PATIENT SUMMARY: We developed a tool to improve patient counseling and guide decision-making on other therapies in addition to surgery for patients with the clear-cell type of kidney cancer and tumor invasion of a vein.

Nomogram Update to Predict the High Genomic Risk Breast Cancer by Different Races.

PURPOSE: To develop a nomogram to predict the high-risk recurrence score (RS) and to customize the nomogram for different races in early-stage hormone receptor (HoR)-positive, human epidermal growth factor receptor-2 (HER2)-negative breast cancer. METHODS: Patients diagnosed between 2010 and 2015 were included from the surveillance, epidemiology, and end results oncotype DX database. The nomogram was assessed with a receiver operating characteristic curve to measure the area under the curve (AUC) with a 95% confidence interval (95% CI). The nomogram was developed and internally validated for discrimination and calibration, and then validated in different races. RESULTS: A total of 48,464 patients were included and randomly assigned to the training cohort (n = 36370, 75.0%) and validation cohort (n = 12,094, 25.0%). Patients in the training cohort were identified to develop the nomogram, including 32,683 (89.9%) White women, 3135 (8.6%) Black women, and 552 (1.5%) Chinese women. Five independent predictive factors for high-risk RS were included to develop the nomogram, including tumor grade, progesterone receptor status, histological subtype, race, and tumor stage. The AUC was 0.696 (95% CI, 0.682-0.710) in the training cohort and 0.700 (95% CI, 0.676-0.724) in the validation cohort. There was no significant difference between the training cohort and the validation cohort. When validating the nomogram classified by race, the AUC was 0.694 (95% CI, 0.682-0.706) for the White cohort, 0.708 (95% CI, 0.673-0.743) for the Black cohort, and 0.653 (95% CI, 0.565-0.741) for the Chinese cohort. CONCLUSION: The developed nomogram for predicting high-risk RS is available for different races in patients with HoR+/HER2- breast cancer, which could be used as qualified surrogates before ordering the 21-gene RS testing.

Role of psa levels and pathological stadiation before radiation therapy in predicting mp-MRI results in patients with prostate cancer recurrence after radical prostatectomy.

OBJECTIVE: To evaluate PSA value in mp-MRI results prediction, analyzing patients with high (GS≥8, pT≥3, pN1) and low grade (GS<8, pT<3, pN0) Prostate Cancer (PCa). MATERIALS AND METHODS: One hundred eighty-eight patients underwent 1.5-Tmp-MRI after Radical Prostatectomy (RP) and before Radiotherapy (RT). They were divided into 2 groups: A and B, for patients with biochemical recurrence (BCR) and without BCR but with high local recurrence risk. Considering Gleason Score (GS), pT and pN as independent grouping variables, ROC analyses of PSA levels at primary PCa diagnosis and PSA before RT were performed in order to identify the optimal cut-off to predict mp-MRI result. RESULTS: Group A and B showed higher AUC for PSA before RT than PSA at PCa diagnosis, in low and high grade tumors. For low grade tumors the best AUC was 0.646 and 0.685 in group A and B; for high grade the best AUC was 0.705 and 1 in group A and B, respectively. For low grade tumors the best PSA cut-off was 0.565-0.58ng/mL in group A (sensitivity, specificity: 70.5%, 66%), and 0.11-0.13ng/mL in B (sensitivity, specificity: 62.5%, 84.6%). For high grade tumors, the best PSA cut-off obtained was 0.265-0.305ng/mL in group A (sensitivity, specificity: 95%, 42.1%), and 0.13-0.15ng/mL in B (sensitivity, specificity: 100%). CONCLUSION: Mp-MRI should be performed as added diagnostic tool always when a BCR is detected, especially in high grade PCa. In patients without BCR, mp-MRI results, although poorly related to pathological stadiation, still have a good diagnostic performance, mostly when PSA>0.1-0.15ng/mL.

TTF-1 status in early-stage lung adenocarcinoma is an independent predictor of relapse and survival superior to tumor grading.

OBJECTIVES: Thyroid transcription factor 1 (TTF-1) is a well-established independent prognostic factor in lung adenocarcinoma (LUAD), irrespective of stage. This study aims to determine if TTF-1's prognostic impact is solely based on histomorphological differentiation (tumor grading) or if it independently relates to a biologically more aggressive phenotype. We analyzed a large bi-centric LUAD cohort to accurately assess TTF-1's prognostic value in relation to tumor grade. PATIENTS AND METHODS: We studied 447 patients with resected LUAD from major German lung cancer centers (Berlin and Cologne), correlating TTF-1 status and grading with clinical, pathologic, and molecular data, alongside patient outcomes. TTF-1's impact was evaluated through univariate and multivariate Cox regression. Causal graph analysis was used to identify and account for potential confounders, improving the statistical estimation of TTF-1's predictive power for clinical outcomes. RESULTS: Univariate analysis revealed TTF-1 positivity associated with significantly longer disease-free survival (DFS) (median log HR -0.83; p = 0.018). Higher tumor grade showed a non-significant association with shorter DFS (median log HR 0.30; p = 0,62 for G1 to G2 and 0.68; p = 0,34 for G2 to G3). In multivariate analysis, TTF-1 positivity resulted in a significantly longer DFS (median log HR -0.65; p = 0.05) independent of all other parameters, including grading. Adjusting for potential confounders as indicated by the causal graph confirmed the superiority of TTF-1 over tumor grading in prognostics power. CONCLUSIONS: TTF-1 status predicts relapse and survival in LUAD independently of tumor grading. The prognostic power of tumor grading is limited to TTF-1-positive patients, and the effect size of TTF-1 surpasses that of tumor grading. We recommend including TTF1 status as a prognostic factor in the diagnostic guidelines of LUAD.

Advances in understanding and management of high-grade pancreatic neuroendocrine neoplasm: a comprehensive review.

High-grade (HG) pancreatic neuroendocrine neoplasms (PAN-NENs) are aggressive and have a poor prognosis. Yet, our understanding and treatment approaches for these tumors have rapidly evolved in the past decade, despite a lack of prospective and randomized trials. It is essential to differentiate grade 3 (G3) neuroendocrine tumors (NETs) from neuroendocrine carcinomas (NECs) due to their different prognostic and treatment implications. The molecular landscape of HG PAN-NENs is complex, with mutations in key cancer-related genes, extensive genomic rearrangements, and chromosomal instability. Advanced studies have provided insights into the significant genetic heterogeneity of HG PAN-NENs and potential therapeutic targets. Several therapeutic strategies have emerged from molecular characterization studies. These include agents targeting the mammalian target of rapamycin (mTOR) pathway, DNA repair pathways, and epigenetic modifiers. Moreover, high programmed cell death ligand 1 (PD-L1) expression in some tumors indicates potential for immunotherapy. However, many challenges remain, with a deeper understanding of the genetic and epigenetic alterations in these tumors necessary to develop novel therapeutic strategies and improve patient outcomes. Treatment strategies for HG PAN-NENs vary. Looking to the future, many clinical trials are exploring novel therapies or combinations of known therapies to improve outcomes. It is evident that understanding the molecular landscape of PAN-NECs, alongside personalized therapeutic strategies, is crucial to developing effective treatment options and improving patient outcomes. In this discourse, our emphasis will be on the molecular landscape and available treatment strategies for HG PAN-NECs.