NCCN Guidelines® Insights: Kidney Cancer, Version 2.2024.

The NCCN Guidelines for Kidney Cancer provide multidisciplinary recommendations for diagnostic workup, staging, and treatment of patients with renal cell carcinoma (RCC). These NCCN Guidelines Insights focus on the systemic therapy options for patients with advanced RCC and summarize the new clinical data evaluated by the NCCN panel for the recommended therapies in Version 2.2024 of the NCCN Guidelines for Kidney Cancer.

Systemic Immune-Inflammatory Index Association with Survival in Patients Undergoing Trimodality Therapy for Lung Cancer.

PURPOSE: The systemic immune-inflammation index (SII) is correlated with patient survival in various solid malignancies including non-small-cell lung cancer (NSCLC). However, limited information is available on the prognostic implication of the SII in patients undergoing trimodality therapy for stage III NSCLC. METHODS: At our institution, 81 patients underwent curative intent trimodality therapy (neoadjuvant chemoradiotherapy followed by surgical resection) for stage III NSCLC from 2004 to 2019. The SII was calculated at the time of diagnosis as platelet count × neutrophil count/lymphocyte count. χ2 analysis was used to compare categorical variables. A Kaplan-Meier analysis was performed to estimate disease-free survival (DFS), overall survival (OS), and freedom from recurrence (FFR) rates, with Cox regression used to determine absolute hazards. RESULTS: Patients underwent neoadjuvant radiation therapy to a median dose of 4,500 cGy concurrent with a median of 3 cycles of chemotherapy (most commonly carboplatin and paclitaxel) followed by surgical resection (86.4% lobectomy and 13.6% pneumonectomy) with mediastinal lymph node dissection. At a median follow-up of 68.4 months, a low SII (<1,260) at diagnosis was independently associated with an improved OS (hazard ratio [HR]: 0.448, p = 0.004), DFS (HR: 0.366, p < 0.001), and FFR (HR: 0.325, p = 0.002). CONCLUSIONS: We identified that a low SII was associated with improved OS, DFS, and FFR in patients undergoing trimodality therapy for stage III NSCLC. The interplay of the immune system and lung cancer outcomes remains an active area of investigation for which further study is warranted.

Kidney Cancer, Version 3.2022, NCCN Clinical Practice Guidelines in Oncology.

The NCCN Guidelines for Kidney Cancer focus on the screening, diagnosis, staging, treatment, and management of renal cell carcinoma (RCC). Patients with relapsed or stage IV RCC typically undergo surgery and/or receive systemic therapy. Tumor histology and risk stratification of patients is important in therapy selection. The NCCN Guidelines for Kidney Cancer stratify treatment recommendations by histology; recommendations for first-line treatment of ccRCC are also stratified by risk group. To further guide management of advanced RCC, the NCCN Kidney Cancer Panel has categorized all systemic kidney cancer therapy regimens as "Preferred," "Other Recommended Regimens," or "Useful in Certain Circumstances." This categorization provides guidance on treatment selection by considering the efficacy, safety, evidence, and other factors that play a role in treatment selection. These factors include pre-existing comorbidities, nature of the disease, and in some cases consideration of access to agents. This article summarizes surgical and systemic therapy recommendations for patients with relapsed or stage IV RCC.

The impact of treatment facility type on the survival of brain metastases patients regardless of the primary cancer type.

BACKGROUND: Cancer patients with brain metastases (BMs) require multidisciplinary care, and treatment facility may play a role. This study aimed to investigate the impact of receiving treatment at academic centers on the overall survival (OS) of cancer patients with brain metastases (BMs) regardless of the primary cancer site. METHODS: This retrospective analysis of the National Cancer Database (NCDB) included patients diagnosed with non-small cell lung cancer, small-cell lung cancer, other types of lung cancer, breast cancer, melanoma, colorectal cancer, and kidney cancer and had brain metastases at the time of diagnosis. The data were extracted from the de-identified file of the NCDB, a joint program of the Commission on Cancer of the American College of Surgeons and the American Cancer Society. The Cox proportional hazard model adjusted for age at diagnosis, race, sex, place of living, income, education, primary tumor type, year of diagnosis, chemotherapy, radiation therapy (RT), and surgery of the primary cancer site was used to determine treatment facility-associated hazard ratios (HR) for survival. Overall survival was the primary outcome, which was analyzed with multivariable Cox proportional hazards regression modeling. RESULTS: A total of 93,633 patients were analyzed, among whom 31,579/93,633 (34.09%) were treated at academic centers. Based on the log-rank analysis, patients who received treatment at an academic facility had significantly improved OS (median OS: 6.18, CI: 6.05-6.31 vs. 4.57, CI: 4.50-4.63 months; p < 0.001) compared to patients who were treated at non-academic facilities. In the multivariable Cox regression analysis, receiving treatment at an academic facility was associated with significantly improved OS (HR: 0.85, CI: 0.84-0.87; p < 0.001) compared to non-academic facility. CONCLUSIONS: In this extensive analysis of the NCDB, receiving treatment at academic centers was associated with significantly improved OS compared to treatment at non-academic centers.

Impact of statin use on overall and time to biochemical failure following radical prostatectomy or radiation therapy.

OBJECTIVES: To assess the impact of statin use on overall and time to biochemical failure following primary treatment of localized prostate cancer (PCa). SUBJECTS/PATIENTS AND METHODS: 1581 patients undergoing radical prostatectomy (RP) or radiation therapy (RT) for primary treatment of PCa between July 2007 and January 2020 were evaluated for statin use, demographic/oncologic characteristics, and biochemical outcomes. Rate of biochemical failure (BF) was assessed overall and at 1, 3, and 5 years; time to BF was estimated with Kaplan-Meier. Logistic and linear regression were used to control for treatment modality and disease characteristics. RESULTS: The average age was 63.0 ± 7.5 years and median pre-treatment PSA was 6.55 (IQR 4.94). 1473 (93.2%) and 108 (6.8%) underwent RP and RT, respectively. RP patients were younger, had lower pre-PSA, lower BMI, and lower risk disease. At 3.4 ± 2.7 years follow-up, 323 (20.4%) experienced BF. When stratified by statin use, BF overall and within 1, 3, and 5 years were not different. Time to BF, was lower in patients using statins (1.8 ± 1.9 years vs. 2.4 ± 2.6 years; p = 0.016). These results persisted in multivariate analysis, wherein statin use was not associated with BF but was associated with a shorter time to BF. CONCLUSION: Overall, statin use was not associated with a reduced risk of BF in RP or RT patients. However, for patients with BF, statin use was associated with a decreased time to BF. Future investigations are warranted to further elucidate the impact of statin use on PCa recurrence.

The impact of neoadjuvant and adjuvant immunotherapy on the survival of pancreatic cancer patients: a retrospective analysis.

BACKGROUND: Immunotherapy has become an essential part of cancer treatment after showing great efficacy in various malignancies. However, its effectiveness in pancreatic ductal adenocarcinoma (PDAC), especially in resectable pancreatic cancer, has not been studied. The primary objective of this study is to compare the OS impact of immunotherapy between PDAC patients who receive neoadjuvant immunotherapy and patients who receive adjuvant immunotherapy. The secondary objective is to investigate the impact of neoadjuvant and adjuvant immunotherapy in combination with chemotherapy and chemoradiation by performing subset analyses of these two groups. METHODS: Patients diagnosed with PDAC between 2004 and 2016 were identified from the National Cancer Database (NCDB). Multivariable Cox proportional hazard analysis was performed to examine the effect of neoadjuvant and adjuvant immunotherapy in combination with chemotherapy and chemoradiation on the OS of the patients. The multivariable analysis was adjusted for essential factors such as the age at diagnosis, sex, race, education, income, place of living insurance status, hospital type, comorbidity score, and year of diagnosis. RESULTS: Overall, 526 patients received immunotherapy. Among whom, 408/526 (77.57%) received neoadjuvant immunotherapy, and the remaining 118/526 (22.43%) received adjuvant immunotherapy. There was no significant difference in OS between neoadjuvant and adjuvant immunotherapy (HR: 1.06, CI: 0.79-1.41; p < 0.714) in the multivariable analysis. In the univariate neoadjuvant treatment subset analysis, immunotherapy was associated with significantly improved OS compared to no immunotherapy (HR: 0.88, CI: 0.78-0.98; p < 0.026). This benefit disappeared in the multivariable analysis. However, after patients were stratified by educational level, the multivariable Cox regression analysis revealed that neoadjuvant immunotherapy was associated with significantly improved OS (HR: 0.86, CI: 0.74-0.99; p < 0.04) compared to no immunotherapy only in patients with high-level of education, but not in patients with low-level of education. CONCLUSION: In this study, no difference in the OS between patients who received neoadjuvant immunotherapy and patients who received adjuvant immunotherapy was noticed. Future studies comparing neoadjuvant adjuvant immunotherapy combined with chemotherapy, radiation therapy, and chemoradiation are needed.

Efficacy of sequential radiation and chemotherapy in treating glioblastoma with poor performance status.

INTRODUCTION: While the current standard of care after maximal safe resection for glioblastoma (GBM) is concomitant radiation and chemotherapy, the ideal therapy for patients with poor performance status remains in question due to concerns about treatment tolerance. We sought to evaluate an alternative regimen, sequential radiation and chemotherapy, to assess its efficacy as a treatment option for poorly performing patients. METHODS: We performed a retrospective analysis using the 2015 National Cancer Database in which the survival of patients with a KPS ≤ 70 who received sequential radiation and chemotherapy were compared to those who received radiation therapy alone. Survival outcomes were compared using Kaplan-Meier curves with log rank testing and Cox proportional hazard regression. RESULTS: There were 84 patients analyzed in this study, all of whom had a KPS between 10 and 70. Of those analyzed, 73.8% received radiation therapy alone, and 26.2% received sequential radiation and chemotherapy. There was no difference in survival between the two treatment groups (p = 0.84). Patient age of 70 years or older (n = 31) was associated with decreased survival (HR 1.06 per year, p < 0.0001), regardless of KPS and a KPS of < 70 correlated with a near-significant trend toward worse survival (HR 1.63, p = 0.06). CONCLUSIONS: Treatment with sequential radiation and chemotherapy in poorly performing patients is not associated with an advantage in survival outcome when compared to radiation alone in GBM patients with poor performance status.

Biological determinants of radioresistance and their remediation in pancreatic cancer.

Despite recent advances in radiotherapy, a majority of patients diagnosed with pancreatic cancer (PC) do not achieve objective responses due to the existence of intrinsic and acquired radioresistance. Identification of molecular mechanisms that compromise the efficacy of radiation therapy and targeting these pathways is paramount for improving radiation response in PC patients. In this review, we have summarized molecular mechanisms associated with the radio-resistant phenotype of PC. Briefly, we discuss the reversible and irreversible biological consequences of radiotherapy, such as DNA damage and DNA repair, mechanisms of cancer cell survival and radiation-induced apoptosis following radiotherapy. We further describe various small molecule inhibitors and molecular targeting agents currently being tested in preclinical and clinical studies as potential radiosensitizers for PC. Notably, we draw attention towards the confounding effects of cancer stem cells, immune system, and the tumor microenvironment in the context of PC radioresistance and radiosensitization. Finally, we discuss the need for examining selective radioprotectors in light of the emerging evidence on radiation toxicity to non-target tissue associated with PC radiotherapy.

Lymphocyte-sparing effect of stereotactic body radiation therapy compared to conventional fractionated radiation therapy in patients with locally advanced pancreatic cancer.

BACKGROUND: Conventionally fractionated (CF) radiation therapy (RT) has been associated with lymphopenia, leading to compromised overall survival (OS) in cancer patients. It currently remains unknown if stereotactic body (SB) RT induces lymphopenia to the same degree. The aim of this study is to determine if SBRT with either chemotherapy (CMT) (Fluorouracil (5FU) or capecitabine) or Nelfinavir (NFV) to pancreatic adenocarcinoma induces lymphopenia to the same degree as CFRT with 5FU or capecitabine and how any associated difference affects patient survival outcomes. METHODS: Medical records of pancreatic adenocarcinoma patients treated with induction CMT followed by RT with concurrent CMT or NFV were reviewed. Patients with total lymphocyte counts (TLCs) available both prior to and following initiation of RT were included. Three groups were identified: CFRT/CMT, SBRT/CMT, and SBRT/NFV. Median delivered RT doses for CFRT and SBRT were 50.4 Gy in 1.8 Gy fractions and 35 Gy in 7 Gy fractions, respectively. TLCs from day 0 (the first day of RT) to 40 were recorded and analyzed using the Kruskal-Wallis test with p-values adjusted with Bonferroni's method. Linear regressions were utilized to estimate the slope of TLCs as it changes with time and survival analysis was performed via Kaplan-Meier plots. RESULTS: One hundred patients were identified (28 CFRT/CMT, 27 SBRT/CMT, 45 SBRT/NFV). Median pre-RT TLCs were not different among groups. Median lowest TLCs were significantly lower (p <  0.0001) and median TLCs reduction over time were significantly greater (p <  0.0001) in the CFRT group than SBRT groups. There was no difference in lowest TLCs or TLCs reduction over time between SBRT groups. Across all groups, the median time to lowest TLCs was similar. Survival analysis revealed no significant difference in median OS between SBRT and CFRT groups. However, in patients with surgery, Median OS for patients with SBRT/CMT was significantly higher than in those with SBRT/NFV (p = 0.03). CONCLUSIONS: Compared to CFRT, SBRT is associated with less lymphopenia. Further study of the effect of radiation technique on immune status is warranted.

Stereotactic Body Radiation Therapy Versus Nonradiotherapeutic Ablative Procedures (Laser/Cryoablation and Electrocautery) for Early-Stage Non-Small Cell Lung Cancer.

BACKGROUND: Despite the fact that stereotactic body radiation therapy (SBRT) is the only recommended first-line therapy for inoperable early-stage non-small cell lung cancer (NSCLC), several thermal ablative procedures (TAPs; defined herein as laser/cryoablation and electrocautery) are available. Studies showing outcomes of these procedures and how they compare with SBRT are scarce. We sought to evaluate the comparative efficacy of SBRT versus TAPs using the National Cancer Database (NCDB). METHODS: The NCDB was queried for patients with early-stage NSCLC who did not undergo surgical resection. Treatment-specific inclusion criteria were applied to select for patients receiving either TAPs or SBRT. Univariate logistic regression and Cox proportional hazards modeling were performed, and Kaplan-Meier curves were generated. Serial propensity matches were performed using a modified greedy 8→n matching 1:1 algorithm. RESULTS: A total of 27,734 patients were analyzed; 26,725 underwent SBRT and 1,009 underwent TAPs. Patients who received SBRT were older and more likely to have clinical stage IB (vs IA) disease. Despite this, SBRT was associated with longer median overall survival (mOS; 37.7 vs 33.5 months; P=.001) and 1-, 2-, and 5-year OS rates compared with the TAPs cohort (86.7% vs 83.1%, 67.5% vs 62.7%, and 30.6% vs 26.9%, respectively; P=.001). Upon propensity matching, improved OS with SBRT remained, with a mOS of 40.4 versus 33.4 months and 1-, 2-, and 5-year OS rates of 89.0% versus 82.9%, 69.7% versus 62.7%, and 34.4% versus 26.4%, respectively (P=.003). CONCLUSIONS: Despite being associated with more higher-risk factors, SBRT was associated with higher OS compared with TAPs for treatment of nonoperative patients diagnosed with early-stage NSCLC. However, causation cannot be implied owing to the inherent limitations of large heterogeneous datasets such as the NCDB.

Prostate-Specific Membrane Antigen Positron Emission Tomography/Computed Tomography-Derived Radiomic Models in Prostate Cancer Prognostication.

The clinical integration of prostate membrane specific antigen (PSMA) positron emission tomography and computed tomography (PET/CT) scans represents potential for advanced data analysis techniques in prostate cancer (PC) prognostication. Among these tools is the use of radiomics, a computer-based method of extracting and quantitatively analyzing subvisual features in medical imaging. Within this context, the present review seeks to summarize the current literature on the use of PSMA PET/CT-derived radiomics in PC risk stratification. A stepwise literature search of publications from 2017 to 2023 was performed. Of 23 articles on PSMA PET/CT-derived prostate radiomics, PC diagnosis, prediction of biopsy Gleason score (GS), prediction of adverse pathology, and treatment outcomes were the primary endpoints of 4 (17.4%), 5 (21.7%), 7 (30.4%), and 7 (30.4%) studies, respectively. In predicting PC diagnosis, PSMA PET/CT-derived models performed well, with receiver operator characteristic curve area under the curve (ROC-AUC) values of 0.85-0.925. Similarly, in the prediction of biopsy and surgical pathology results, ROC-AUC values had ranges of 0.719-0.84 and 0.84-0.95, respectively. Finally, prediction of recurrence, progression, or survival following treatment was explored in nine studies, with ROC-AUC ranging 0.698-0.90. Of the 23 studies included in this review, 2 (8.7%) included external validation. While explorations of PSMA PET/CT-derived radiomic models are immature in follow-up and experience, these results represent great potential for future investigation and exploration. Prior to consideration for clinical use, however, rigorous validation in feature reproducibility and biologic validation of radiomic signatures must be prioritized.

Exploring the Impact of Sodium-Glucose Cotransporter-2 Inhibitors on Genitourinary Toxicities in Prostate Cancer Patients Undergoing Radiation Therapy: A Case Study and Discussion.

Radiation therapy is a common treatment modality offered to patients with localized prostate cancer. It can be associated with early radiation-induced toxicities including dysuria, nocturia, frequency, urgency, spasm, and, rarely, hematuria. Early toxicities usually resolve once the treatment period has ended. Chronic toxicities are less common, and rarely, patients may experience radiation-induced hemorrhagic cystitis and hematuria months or years after radiation. We herein describe the case of a 65-year-old man with a past medical history of type-2 diabetes mellitus who experienced hemorrhagic cystitis for months following his radiation therapy. The patient was on sodium-glucose cotransporter-2 inhibitor therapy (empagliflozin), which we highlight as a potential risk factor for hemorrhagic cystitis. After cessation of Jardiance and initiation of semaglutide (GLP-1 agonist), his urinary symptoms significantly improved. To the best of our knowledge, this is the first such case reported.

Predictive Value of Multiparametric Magnetic Resonance Imaging in Risk Group Stratification of Prostate Adenocarcinoma.

Purpose: The aim of this study was to further assess the clinical utility of multiparametric magnetic resonance imaging (MP-MRI) in prostate cancer (PC) staging following 2023 clinical guideline changes, both as an independent predictor of high-stage (>T3a) or high-risk PC and when combined with patient characteristics. Methods and Materials: The present study was a retrospective review of 171 patients from 2008 to 2018 who underwent MP-MRI before radical prostatectomy at a single institution. The accuracy of clinical staging was compared between conventional staging and MP-MRI-based clinical staging. Sensitivity, specificity, positive predictive value, and negative predictive value were compared, and receiver operating characteristic curves were generated. Linear regression analyses were used to calculate concordance (C-statistic). Results: Of the 171 patients, final pathology revealed 95 (55.6%) with T2 disease, 62 (36.3%) with T3a disease, and 14 (8.2%) with T3b disease. Compared with conventional staging, MP-MRI-based staging demonstrated significantly increased accuracy in identifying T3a disease, intermediate risk, and high/very-high-risk PC. When combined with clinical characteristics, MP-MRI-based staging improved the area under the curve from 0.753 to 0.808 (P = .0175), compared with conventional staging. Conclusions: MP-MRI improved the identification of T3a PC, intermediate-risk PC, and high- or very-high-risk PC. Further, when combined with clinical characteristics, MP-MRI-based staging significantly improved risk stratification, compared with conventional staging. These findings represent further evidence to support the integration of MP-MRI into prostate adenocarcinoma clinical staging guidelines.

radioGWAS links radiome to genome to discover driver genes with somatic mutations for heterogeneous tumor image phenotype in pancreatic cancer.

Addressing the significant level of variability exhibited by pancreatic cancer necessitates the adoption of a systems biology approach that integrates molecular data, biological properties of the tumors, medical images, and clinical features of the patients. In this study, a comprehensive multi-omics methodology was employed to examine a distinctive collection of patient dataset containing rapid autopsy tumor and normal tissue samples as well as longitudinal imaging with a focus on pancreatic cancer. By performing a whole exome sequencing analysis on tumor and normal tissues to identify somatic gene variants and a radiomic feature analysis to tumor CT images, the genome-wide association approach established a connection between pancreatic cancer driver genes and relevant radiomic features, enabling a thorough and quantitative assessment of the heterogeneity of pancreatic tumors. The significant association between sets of genes and radiomic features revealed the involvement of genes in shaping tumor morphological heterogeneity. Some results of the association established a connection between the molecular level mechanism and their outcomes at the level of tumor structural heterogeneity. Because tumor structure and tumor structural heterogeneity are related to the patients' overall survival, patients who had pancreatic cancer driver gene mutations with an association to a certain radiomic feature have been observed to experience worse survival rates than cases without these somatic mutations. Furthermore, the association analysis has revealed potential gene mutations and radiomic feature candidates that warrant further investigation in future research endeavors.

Exogenous APN protects normal tissues from radiation-induced oxidative damage and fibrosis in mice and prostate cancer patients with higher levels of APN have less radiation-induced toxicities.

Radiation causes damage to normal tissues that leads to increased oxidative stress, inflammation, and fibrosis, highlighting the need for the selective radioprotection of healthy tissues without hindering radiotherapy effectiveness in cancer. This study shows that adiponectin, an adipokine secreted by adipocytes, protects normal tissues from radiation damage invitro and invivo. Specifically, adiponectin (APN) reduces chronic oxidative stress and fibrosis in irradiated mice. Importantly, APN also conferred no protection from radiation to prostate cancer cells. Adipose tissue is the primary source of circulating endogenous adiponectin. However, this study shows that adipose tissue is sensitive to radiation exposure exhibiting morphological changes and persistent oxidative damage. In addition, radiation results in a significant and chronic reduction in blood APN levels from adipose tissue in mice and human prostate cancer patients exposed to pelvic irradiation. APN levels negatively correlated with bowel toxicity and overall toxicities associated with radiotherapy in prostate cancer patients. Thus, protecting, or modulating APN signaling may improve outcomes for prostate cancer patients undergoing radiotherapy.

Immunotherapy plus stereotactic body radiation therapy or whole-brain radiation therapy in brain metastases.

Aim: To investigate the association of stereotactic radiation therapy (SRT) or whole-brain radiation therapy (WBRT) plus immunotherapy with the overall survival (OS) of cancer patients with brain metastases (BMs) regardless of the primary cancer. Patients & methods: Patients diagnosed with BMs were identified from the National Cancer Database. Results: A total of 34,286 patients were included. SRT plus immunotherapy was associated with improved OS compared with SRT without immunotherapy (hazard ratio: 0.774; 95% CI: 0.687-0.872; p < 0.001), and WBRT plus immunotherapy was associated with improved OS compared with WBRT without immunotherapy (hazard ratio: 0.724; 95% CI; 0.673-0.779; p < 0.001). Conclusion: SRT plus immunotherapy was associated with improved OS compared with SRT. WBRT plus immunotherapy was associated with improved OS compared with WBRT in cancer patients who had BMs at the time of primary cancer diagnosis.

Aim: The purpose of this study was to examine if adding immunotherapy to the two types of brain radiation therapy (stereotactic radiation therapy [SRT] or whole-brain radiation therapy [WBRT]) will improve the overall survival of cancer patients with brain metastases (BMs). Patients & methods: Patients diagnosed with BMs were identified from the National Cancer Database. Results: This study included 34,286 patients. Patients who received SRT plus immunotherapy or WBRT plus immunotherapy were on average 23% and 28% less likely to die of any cause compared with patients who received SRT or WBRT without immunotherapy (hazard ratio: 0.774; 95% CI: 0.687­0.872; p < 0.001 and hazard ratio: 0.724; 95% CI: 0.673­0.779; p < 0.001, respectively). Conclusion: BMs patients who received SRT plus immunotherapy or WBRT plus immunotherapy had better overall survival compared with patients who received SRT or WBRT without immunotherapy.

Radiation therapy for pineal parenchymal tumor of intermediate differentiation: A case series and literature review.

Pineal parenchymal tumor of intermediate differentiation (PPTID) is a rare, primary tumor of the pineal gland. Due to its rarity, there is no consensus on optimal therapeutic strategies or standard characterization of the tumor's behavior. Here, we report 2 new cases of PPTID and an extensive review of the literature involving the use and extent of radiation therapy. Patient 1 is a 54-year-old male who presented with PPTID and drop metastases in the spinal cord, received cranial spinal irradiation (CSI), and experienced recurrence 3.5 years after treatment. Stereotactic body radiation therapy (SBRT) helped the patient into remission for 9 months. Patient 2 is a 32-year-old male with a local PPTID at presentation who went on to receive surgical resection followed by focused adjuvant radiation therapy to the pineal tumor bed. He then presented 6 years after treatment with extensive disseminated recurrence and died due to leptomeningeal disease (LMD) about 4 years after recurrence. The available literature on PPTID is limited and reported cases of LMD with ongoing follow-up in PPTID are scarce. Our report adds to the current known PPTID cases, contributing to the information available regarding prognosis and treatment response. Although an optimal therapeutic strategy for PPTID still cannot be determined, data from the literature suggest that utilizing radiation therapy in patients with low-risk disease and gross total resections as well as the use of upfront CSI have the potential to improve patient progression and survival outcomes.

The Association of Immunotherapy With the Overall Survival of Inoperable Stage III Non-small Cell Lung Cancer Patients Who Do Not Receive Chemoradiation.

Immunotherapy has been approved for stage III non-small cell lung cancer (NSCLC) as consolidation therapy after chemoradiation in patients whose disease does not progress after chemoradiation. However, many patients do not receive chemoradiation due to either the drugs' side effects or poor performance status. This study's objective is to investigate the association of immunotherapy combined with chemotherapy or Radiotherapy (RT) with the overall survival (OS) of stage III NSCLC patients who do not receive chemoradiation. Patients with stage III NSCLC who received either chemotherapy or RT with or without immunotherapy were identified from NCDB. The Cox proportional hazard regression analysis was implied to assess the effect of immunotherapy on survival after adjusting the model for age at diagnosis, race, sex, education, treatment facility type, insurance status, comorbidity score, histology year of diagnosis, and treatment types, such as chemotherapy and radiation therapy. The final analysis included 32,328 patients, among whom 3,205 (9.9%) received immunotherapy. In the multivariable analysis adjusted for all the factors previously mentioned, immunotherapy was associated with significantly improved OS (HR: 0.76, CI: 0.71-0.81) compared with no immunotherapy. Treatment with chemotherapy plus immunotherapy was significantly associated with improved OS (HR: 0.83, CI: 0.77-0.90) compared with chemotherapy without immunotherapy. Further, RT plus immunotherapy was associated with significantly improved OS (HR: 0.62, CI: 0.54-0.70) compared with RT alone. In this comprehensive analysis, the addition of immunotherapy to chemotherapy or radiotherapy was associated with improved OS compared with chemotherapy or radiation therapy without immunotherapy in stage III NSCLC patients.

The Use of MRI-Derived Radiomic Models in Prostate Cancer Risk Stratification: A Critical Review of Contemporary Literature.

The development of precise medical imaging has facilitated the establishment of radiomics, a computer-based method of quantitatively analyzing subvisual imaging characteristics. The present review summarizes the current literature on the use of diagnostic magnetic resonance imaging (MRI)-derived radiomics in prostate cancer (PCa) risk stratification. A stepwise literature search of publications from 2017 to 2022 was performed. Of 218 articles on MRI-derived prostate radiomics, 33 (15.1%) generated models for PCa risk stratification. Prediction of Gleason score (GS), adverse pathology, postsurgical recurrence, and postradiation failure were the primary endpoints in 15 (45.5%), 11 (33.3%), 4 (12.1%), and 3 (9.1%) studies. In predicting GS and adverse pathology, radiomic models differentiated well, with receiver operator characteristic area under the curve (ROC-AUC) values of 0.50-0.92 and 0.60-0.92, respectively. For studies predicting post-treatment recurrence or failure, ROC-AUC for radiomic models ranged from 0.73 to 0.99 in postsurgical and radiation cohorts. Finally, of the 33 studies, 7 (21.2%) included external validation. Overall, most investigations showed good to excellent prediction of GS and adverse pathology with MRI-derived radiomic features. Direct prediction of treatment outcomes, however, is an ongoing investigation. As these studies mature and reach potential for clinical integration, concerted effort to validate these radiomic models must be undertaken.

3DGAUnet: 3D Generative Adversarial Networks with a 3D U-Net Based Generator to Achieve the Accurate and Effective Synthesis of Clinical Tumor Image Data for Pancreatic Cancer.

Pancreatic ductal adenocarcinoma (PDAC) presents a critical global health challenge, and early detection is crucial for improving the 5-year survival rate. Recent medical imaging and computational algorithm advances offer potential solutions for early diagnosis. Deep learning, particularly in the form of convolutional neural networks (CNNs), has demonstrated success in medical image analysis tasks, including classification and segmentation. However, the limited availability of clinical data for training purposes continues to represent a significant obstacle. Data augmentation, generative adversarial networks (GANs), and cross-validation are potential techniques to address this limitation and improve model performance, but effective solutions are still rare for 3D PDAC, where the contrast is especially poor, owing to the high heterogeneity in both tumor and background tissues. In this study, we developed a new GAN-based model, named 3DGAUnet, for generating realistic 3D CT images of PDAC tumors and pancreatic tissue, which can generate the inter-slice connection data that the existing 2D CT image synthesis models lack. The transition to 3D models allowed the preservation of contextual information from adjacent slices, improving efficiency and accuracy, especially for the poor-contrast challenging case of PDAC. PDAC's challenging characteristics, such as an iso-attenuating or hypodense appearance and lack of well-defined margins, make tumor shape and texture learning challenging. To overcome these challenges and improve the performance of 3D GAN models, our innovation was to develop a 3D U-Net architecture for the generator, to improve shape and texture learning for PDAC tumors and pancreatic tissue. Thorough examination and validation across many datasets were conducted on the developed 3D GAN model, to ascertain the efficacy and applicability of the model in clinical contexts. Our approach offers a promising path for tackling the urgent requirement for creative and synergistic methods to combat PDAC. The development of this GAN-based model has the potential to alleviate data scarcity issues, elevate the quality of synthesized data, and thereby facilitate the progression of deep learning models, to enhance the accuracy and early detection of PDAC tumors, which could profoundly impact patient outcomes. Furthermore, the model has the potential to be adapted to other types of solid tumors, hence making significant contributions to the field of medical imaging in terms of image processing models.