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Introduction: Sex‐determining region Y‐related high‐mobility group box 17 protein (SOX17), a proangiogenic transcription factor, is specifically expressed in tumor endothelial cells (TECs) of implanted Lewis lung carcinoma. However, the expression profile of SOX17 is largely unknown in human lung cancer. We aimed to elucidate SOX17 expression in cancer cells and the tumor microenvironment of lung adenocarcinoma. Methods: In the present study, we examined SOX17 expression in whole‐tissue specimens of 83 lung adenocarcinomas by immunohistochemistry. Results: SOX17 immunoreactivity was minimal in lung adenocarcinoma cells, except in five non‐mucinous adenocarcinomas in situ. SOX17 was also expressed in cultured A549 lung adenocarcinoma cells, which is widely used as a model of malignant alveolar type II epithelial cells. Notably, SOX17 immunoreactivity was found in endothelial cells of tumor‐penetrating vessels in 19 of 83 lung adenocarcinoma tissue specimens, with statistical significance to stromal infiltration of CD8+ T cells (p < 0.01) but was not associated with the number of tertiary lymph nodes. Although not statistically significant, SOX17 immunoreactivity was related to favorable patient outcomes. Conclusion: Our findings indicate that SOX17 might play a pleiotropic role in lung adenocarcinoma in cancer cells and stromal niches. SOX17‐mediated CD8+ T‐cell‐rich tumor microenvironment might attract interest in improving the effect of cancer immunotherapy. [ABSTRACT FROM AUTHOR]

Prophylactic cranial irradiation (PCI) was recommended for limited‐stage small‐cell lung cancer (SCLC) patients with complete or partial response to primary chemoradiotherapy. But it is still controversial regarding its role in SCLC patients who have had radical resection. This meta‐analysis aims to evaluate the efficacy of PCI in resected SCLC patients. We searched PubMed, EMBASE, Web of Science, CENTRAl, and ClinicalTrials for controlled trials and cohort studies regarding PCI in postoperative SCLC patients. The correlation between PCI and post‐operative outcomes in SCLC patients, including survival and brain metastasis rate (BMR), was examined using hazard ratios (HRs) and risk ratios with corresponding 95% confidence intervals. Quality of studies was assessed by the Newcastle–Ottawa Scale (NOS), and publication bias was assessed by Begg's test. Meta‐analysis of eight studies with 2688 patients in total showed PCI was associated with improved overall survival (OS) for resected SCLC (HR: 0.65, 95% CI: 0.57–0.75, p < 0.01). In addition, subgroup analysis on three studies including 923 patients confirmed the protective role of postoperative PCI in N0 SCLC patients (HR: 0.79, 95% CI: 0.61–0.97, p < 0.05). There was also a significant reduction in BMR in the PCI group pooled from six studies (HR: 0.58, 95% CI: 0.40–0.85, p < 0.01). The use of PCI delayed brain recurrence and improved OS in patients with resected, stage I‐III SCLC. Importantly, patients with N0 SCLC can also benefit from postoperative PCI. In future studies, PCI's role in patients with resected N0 SCLC at different T stage may need to be explored. [ABSTRACT FROM AUTHOR]

Objectives: This study aimed to investigate the characteristics of patients with recurrent or advanced non‐small cell lung cancer (NSCLC) treated with tyrosine kinase inhibitors (TKIs) or immune‐checkpoint inhibitors (ICIs) who developed secondary malignancies, as well as evaluate the impact of these secondary malignancies on the course of lung cancer. Materials and Methods: This study included 112 patients with postoperative recurrent or advanced NSCLC, who received TKIs, ICIs, or immune combination therapy as the primary treatment modality between April 1, 2013, and March 31, 2020, and achieved long‐term survival (≥2 years). Secondary malignancies were defined as newly diagnosed cancers in other organs occurring after NSCLC treatment initiation. Results: Among the 112 patients, 10 (8.9%) developed 12 carcinomas, including third primary malignancies. Univariate analysis, considering secondary malignancies as the outcome, revealed a non‐significant trend towards a higher incidence of secondary malignancies in smokers compared to non‐smokers. Conclusion: This study found that 8.9% of patients with advanced NSCLC who received TKIs, ICIs, or immune combination therapy and survived ≥2 years developed secondary malignancies. This underscores the importance of early diagnosis and treatment, even during lung cancer treatment, to identify suspicious lesions in other organs either via imaging or physical examinations. [ABSTRACT FROM AUTHOR]

Background: For patients with advanced non‐small cell lung cancer (NSCLC) who have received frontline immunochemotherapy, subsequent treatment options are limited. As the first dual programmed cell death‐1 (PD‐1)/cytotoxic T lymphocyte‐associated antigen‐4 bispecific antibody approved globally, cadonilimab demonstrated potential antitumor activity in advanced NSCLC patients resistant to anti‐PD‐1/PD‐L1 antibodies. Methods: We retrospectively collected efficacy and safety data from advanced NSCLC patients treated with cadonilimab‐based regimens in later therapy lines. Results: A total of 41 advanced NSCLC patients refractory to anti‐PD‐1/PD‐L1 therapy were enrolled. More than half of the patients received cadonilimab‐based regimen as a fourth or later line of treatment. At the data cutoff date, treatment efficacy could be evaluated in 23 patients. One patient (4.3%) achieved partial response, eight patients (34.8%) experienced stable disease, and 14 patients (60.9%) progressed. The objective response rate and disease control rate were 4.3% and 39.1%, respectively. The median progression‐free survival for all evaluated patients was 108.0 days. Due to the short follow‐up period, the median overall survival has not yet been reached. Treatment‐related adverse events (TRAEs) and immune‐related AEs occurred in 63.4% and 22% patients, respectively. The most common TRAEs included gamma‐glutamyl transferase elevation (17.1%), coughing (14.6%), and fatigue (12.2%). Five patients (12.2%) experienced grade ≥3 TRAEs. Conclusions: In this heavily pretreated cohort of advanced NSCLC patients, cadonilimab‐based regimens showed moderate antitumor efficacy with a generally tolerable and manageable safety profile. However, more evidence is needed to support the administration of cadonilimab in NSCLC patients refractory to previous anti‐PD‐1/PD‐L1 therapy. [ABSTRACT FROM AUTHOR]

Background Purpose Methods Results Conclusions Motion of lung tumors during radiotherapy leads to decreased accuracy of the delivered dose distribution. This is especially true for proton radiotherapy due to the finite range of the proton beam. Methods for mitigating motion rely on knowing the position of the tumor during treatment.Proton radiography uses the treatment beam, at an energy high enough to traverse the patient, to produce a radiograph. This work shows the first results of using an integrated‐mode proton radiography system to track the position of moving objects in an experimental phantom study; demonstrating the potential of using this method for measuring tumor motion.Proton radiographs of an anthropomorphic lung phantom, with a motor‐driven tumor insert, were acquired approximately every 1 s, using tumor inserts of 10, 20, and 30 mm undergoing a known periodic motion. The proton radiography system used a monolithic scintillator block and digital cameras to capture the residual range of each pencil beam passing through the phantom. These ranges were then used to produce a water equivalent thickness map of the phantom. The centroid of the tumor insert in the radiographs was used to determine its position. This measured position was then compared to the known motion of the phantom to determine the accuracy.Submillimeter accuracy on the measurement of the tumor insert was achieved when using a 30 mm tumor insert with a period of 24 s and was found to be improved for decreasing motion amplitudes with a mean absolute error (MAE) of 1.0, 0.9, and 0.7 mm for 20, 15, and 10 mm respectively. Using smaller tumor inserts reduced the accuracy with a MAE of 1.8 and 1.9 mm for a 20 and 10 mm insert respectively undergoing a periodic motion with an amplitude of 20 mm and a period of 24 s. Using a shorter period resulted in significant motion artifacts reducing the accuracy to a MAE of 2.2 mm for a 12 s period and 3.1 mm for a 6 s period for the 30 mm insert with an amplitude of 20 mm.This work demonstrates that the position of a lung tumor insert in a realistic anthropomorphic phantom can be measured with high accuracy using proton radiographs. Results show that the accuracy of the position measurement is the highest for slower tumor motions due to a reduction in motion artifacts. This indicates that the primary obstacle to accurate measurement is the speed of the radiograph acquisition. Although the slower tumor motions used in this study are not clinically realistic, this work demonstrates the potential for using proton radiography for measuring tumor motion with an increased scanning speed that results in a decreased acquisition time. [ABSTRACT FROM AUTHOR]

Neuroendocrine tumor (NET) is a rare malignant tumor, notably small cell lung cancer (SCLC), a type of lung neuroendocrine tumor, which has a survival rate of less than 7%. Although various biomarkers including CHGA (Chromogranin A), INSM1 (Insulinoma-associated protein 1), and SYP (Synaptophysin) are extensively used for the diagnostic testing of NET, their diverse specificities and sensitivities are acknowledged as limitations. Here, we demonstrate that RepID (Replication initiation determinant protein), a component of CRL4 (Cullin-RING ubiquitin E3 ligase 4), holds promise as a biomarker for identifying NET and SCLC. Analysis of the Cancer Cell Line Encyclopedia (CCLE) via the CellMinerCDB portal reveals a high correlation between RepID transcript levels and mRNA expression of NE signature genes. Additionally, RepID protein is highly expressed in SCLC patient tissues and a subset of SCLC cell lines. Viability analysis following treatment with pevonedistat and SZL-P1-41 in SCLC cell lines and human SCLC-organoid models indicates that RepID expression determines the sensitivity to CRL-targeting anti-cancer drugs. These findings suggest that RepID represents a novel biomarker for NET and SCLC, and insights from RepID research in these cancers could lead to innovative therapeutic strategies. [ABSTRACT FROM AUTHOR]

The availability of comprehensive datasets is a crucial challenge for developing artificial intelligence (AI) models in various applications and fields. The lack of large and diverse public fabric defect datasets forms a major obstacle to properly and accurately developing and training AI models for detecting and classifying fabric defects in real-life applications. Models trained on limited datasets struggle to identify underrepresented defects, reducing their practicality. To address these issues, this study suggests using a conditional generative adversarial network (cGAN) for fabric defect data augmentation. The proposed image-to-image translator GAN features a conditional U-Net generator and a 6-layered PatchGAN discriminator. The conditional U-Network (U-Net) generator can produce highly realistic synthetic defective samples and offers the ability to control various characteristics of the generated samples by taking two input images: a segmented defect mask and a clean fabric image. The segmented defect mask provides information about various aspects of the defects to be added to the clean fabric sample, including their type, shape, size, and location. By augmenting the training dataset with diverse and realistic synthetic samples, the AI models can learn to identify a broader range of defects more accurately. This technique helps overcome the limitations of small or unvaried datasets, leading to improved defect detection accuracy and generalizability. Moreover, this proposed augmentation method can find applications in other challenging fields, such as generating synthetic samples for medical imaging datasets related to brain and lung tumors. [ABSTRACT FROM AUTHOR]

Introduction: Hepatoid adenocarcinoma of the lung (HAL) is a special type of adenocarcinoma originating from the lung with adenoid- and hepatocyte-like differentiation. HAL is rare in clinical practice. Here, we present the case of a patient with HAL. Case presentation: A 59-year-old man was admitted to the hospital 4 days because of lung mas observed. Chest computed tomography (CT) revealed a lobulated mass shadow in the right lower lobe, approximately 3.5 × 3.3 cm in size. CT-guided percutaneous biopsy of the right lower lung was performed. The pathological results indicated a moderately to poorly differentiated adenocarcinoma. The patient underwent thoracoscopic right middle and lower lobectomy and systematic lymph node dissection. The postoperative pathology was primary HAL, with the staging of T2bN2M0 (stage III A). Recurrence-free survival and overall survival were 6 and 19 months, respectively Preoperatively, the level of alpha-fetoprotein was negative; however, after recurrence, it increased to 87.8. Conclusion: Pulmonary hepatoid adenocarcinoma is a rare subtype of malignant lung tumor, combined silicosis is more rare. Early surgical intervention can benefit patients in the early stages of the disease, whereas chemotherapy remains the main systemic treatment modality for postoperative and advanced stages. With the increasing popularity of genetic testing, it is important to focus on improving genetic examination. [ABSTRACT FROM AUTHOR]

Medical devices and technologies must undergo extensive testing and validation before being certified for public healthcare use, especially in oncology where a high research focus is on new advancements. Human 3D-tissue models can offer valuable insights into cancer behavior and treatment efficacy. This study developed a cell phantom setup using a rattail collagen-based hydrogel to facilitate reproducible investigations into ablation techniques, focusing on electroporation (EP) for lung tumor cells. The temperature rise due to the treatment is a critical aspect based on other studies that have discovered non-neglectable temperature values. A realistic physiological, biological phantom is crucial for electrode material development, non-thermal ablation control, tumor cell behavior study, and image-guided treatment simulation. The test system comprises a standardized 3D-printed setup, a cell-mimicking hydrogel model cultivated with NIH3T3 and HCC-827 cell lines. The treatment is evaluated with an AlamarBlue assay and the temperature is monitored with a sensor and a non-invasive MR-thermometry. Results showed the reliability of the selected monitoring methods and especially the temperature monitoring displayed interesting insights. The thermal effect due to EP cannot be neglected and it has to be discussed if this technique is non-thermal. The lesions in the phantom were able to show apoptotic and necrotic regions. The EP further led to a change in viability. These results suggest that the phantom can mimic the response of soft tissue and is a useful tool for studying cellular response and damage caused by EP or other treatment techniques. [ABSTRACT FROM AUTHOR]

Background: Irinotecan is a standard chemotherapeutic agent in small cell lung cancer (SCLC), however, as a common adverse reaction, diarrhea limits the use of irinotecan. Shengjiang Xiexin decoction (SXD) has been used in various gastrointestinal diseases in China two thousand years ago. We designed this clinical trial to supply more evidences on the use of SXD as prophylaxis for irinotecan-induced diarrhea, especially for high-risk population predicted by gene testing of uridine diphosphate glucuronosyl transferase 1A1 (UGT1A1). Methods: In this clinical trial, 120 patients with SCLC were recruited from six hospitals in China. They received two cycles of chemotherapy, meanwhile they were randomized to receive SXD or placebo for 14 days of oral administration in each cycle of chemotherapy. The primary outcome is the incidence of diarrhea. And secondary outcomes include the the degree of diarrhea and neutropenia, the number of chemotherapy cycles with diarrhea, first occurrence time and duration of diarrhea. To evaluate the effect of SXD on the intestine, a rat model with delayed-onset diarrhea induced by irinotecan was established, and the expression of inflammatory factors including IL-1β, IL-6 and TNF-α, anti-inflammatory factors including IL-10, TGF- β in jejunal tissue was detected by ELISA. Results: 101 patients (53 in SXD group, 48 in placebo group) completed the trial. The incidence of diarrhea in SXD group and placebo group were 26.42% (14/53) and 52.08% (25/48), respectively (P < 0.05), and the degree of diarrhea also had significant differences (P < 0.05). In UGT1A1 high-risk population, the incidence of diarrhea in two groups were 9.09% and 66.67% (P < 0.05), but there was no significant differences in UGT1A1 low-risk population. The incidence of neutropenia with degree 1–3 between two groups was 20.75% vs 20.83%, 13.21% vs 18.57%, 9.43% vs 20.83% (P < 0.05). No severe adverse events were reported in any group. And animal studies had shown SXD reduced content of IL-1β, IL-6, TNF-α, increased content of IL-10, TGF-β in jejunum tissue. Conclusions: SXD had a prophylactic effect in the diarrhea induced by irinotecan, especially for UGT1A1 high-risk population, and this effect from SXD appeared to be maintained the completion of chemotherapy schedule. The mechanism of action of SXD was related to the regulation of inflammatory factors. Trial registration Chinese Clinical Trial Register: ChiCTR1800018490. Registered on 20 September 2018. https://www.chictr.org.cn/showproj.html?proj=25250. The preliminary protocol of this clinical study has been published in the journal "Trials" in the form of protocol before this paper (Deng et al. in Trials 21:370, 2020). [ABSTRACT FROM AUTHOR]

Simple Summary: This study analyzes real-world outcomes for advanced, non-oncogene addicted non-small cell lung cancer patients treated with atezolizumab monotherapy following platinum-based chemotherapy, based on data from two academic institutions in Serbia. Progression-free survival did not significantly differ between patients receiving atezolizumab as a second, third, or later line of therapy, indicating consistent efficacy across treatment lines. Additionally, the number of prior chemotherapy cycles had no significant impact on progression-free survival, suggesting that a higher prior treatment burden did not compromise atezolizumab effectiveness. Importantly, a good ECOG performance status emerged as the strongest predictor of prolonged progression-free survival, highlighting the importance of patients' health status at treatment initiation. Immune checkpoint inhibitors (ICIs) like atezolizumab have improved outcomes in advanced non-small cell lung cancer (NSCLC) patients, especially in the second-line setting after progression on platinum-based chemotherapy. However, access to ICIs remains limited in many developing nations. This study evaluated the efficacy of atezolizumab as a second-line versus later-line treatment for advanced NSCLC patients in Serbia. Methods: This retrospective study involved 147 advanced NSCLC patients treated with atezolizumab following progression on prior platinum-based chemotherapy at two academic centers in Serbia. Data on demographics and clinical, pathological, and molecular characteristics were collected. Median progression-free survival (PFS) and overall survival (OS) were estimated using the Kaplan–Meier method, and multivariable Cox proportional hazards regression identified outcome predictors. Results: The median PFS was 7.13 months, and median OS was 38.6 months. The overall response rate (ORR) was 15%, with a disease control rate (DCR) of 57.9%. No significant PFS differences were observed between patients treated with atezolizumab in the second line versus later lines. Patients with good performance status (ECOG 0–1) had significantly better PFS compared to those with poorer status (12.03 vs. 1.63 months, p < 0.0001). Conclusions: Atezolizumab is effective in both second-line and later-line settings for advanced NSCLC, particularly in patients with good performance status. This highlights the importance of patient selection based on performance status, as well as the need for wider access to ICIs in resource-limited regions. [ABSTRACT FROM AUTHOR]

Simple Summary: Molecular testing is becoming the standard of care across multiple tumor types in oncology. In non-small cell lung cancer (NSCLC), the uptake of molecular testing with next-generation sequencing (NGS) has been earlier than in other fields due to the clinical relevance of the molecular results. There are multiple approaches to NGS, ranging from sending testing internally, often reflexively, to referring externally to limited or comprehensive panels. This study aims to identify the differences in time to results, time to treatment, molecular alterations, and clinical outcomes for different molecular workflows in NSCLC. The results may impact the workflows for testing in a variety of cancers. Purpose: Broad-based molecular testing with next-generation sequencing (NGS) is now the standard of care in advanced non-small cell lung cancer (NSCLC). Two approaches to molecular testing are (1) reflexive testing at pathologic NSCLC confirmation, often using an in-house molecular panel, and (2) send-out testing to private vendors, ordered by a clinician. This study explored the outcomes with reflex versus send-out testing. Methods: A retrospective chart review was conducted of patients diagnosed with de novo stage IV NSCLC in 2019 and 2020 at three hospitals in the same system, one academic hospital (Northwestern Memorial Hospital, or NMH) utilizing reflex, in-house NGS, and two community-based hospitals (Central DuPage Hospital, or CDH, and Delnor, or D) sending out tissue samples for testing. The outcomes assessed were the time from biopsy to results, biopsy to treatment, the incidence of first-line targetable mutations and the use of first-line targeted therapies, and overall survival. Results: In total, 191 patients met the inclusion criteria, 85 at NMH, 106 at CDH + D, and in total, 131 in 2019 and 60 in 2020. The time to results was significantly shorter with reflexive NGS when compared with send-out testing; the time to treatment was also shorter but not statistically significant. At CDH + D, the time to results was significantly shorter with a limited panel than with comprehensive testing, but the time to treatment was similar. NGS testing rates were 95% at NMH and 84.5% at CDH + D (p = 0.009), with 31.0% at NMH receiving 1L targeted therapies versus 20.8% at CDH + D (p = 0.08). In 2019, the median time from biopsy to treatment was 35 days at NMH and 38 days at CDH and Delnor; in 2020, time to treatment was 26 days and 37 days, respectively. Overall survival trended longer in 2020 relative to 2019 independent of site. Conclusion: Reflexive NGS testing is associated with a shorter time to actionable results and higher rates of first-line targetable mutations than send-out testing. In practices with send-out testing, limited panels had slightly faster turnaround times but no difference in time to treatment. If resources allow, reflexive NGS should be considered in healthcare systems for patients with NSCLC. [ABSTRACT FROM AUTHOR]

Simple Summary: Cancer staging utilizing the TNM (Tumor, Node, Metastasis) classification system is fundamental in determining disease progression. The manual extraction and classification of TNM information from radiology reports presents significant challenges in clinical workflow efficiency and consistency. This study investigated the capability of GPT3.5, a large language model, to automate TNM classification from radiology reports in both English and Japanese languages. Our analysis demonstrated that when provided with comprehensive TNM definitions, the model achieved high accuracy rates, particularly in English reports (94% for M-stage classification). These findings indicate the potential of multilingual language models to enhance the efficiency and standardization of cancer staging processes across diverse healthcare environments. Background/Objectives: This study aimed to investigate the accuracy of Tumor, Node, Metastasis (TNM) classification based on radiology reports using GPT3.5-turbo (GPT3.5) and the utility of multilingual large language models (LLMs) in both Japanese and English. Methods: Utilizing GPT3.5, we developed a system to automatically generate TNM classifications from chest computed tomography reports for lung cancer and evaluate its performance. We statistically analyzed the impact of providing full or partial TNM definitions in both languages using a generalized linear mixed model. Results: The highest accuracy was attained with full TNM definitions and radiology reports in English (M = 94%, N = 80%, T = 47%, and TNM combined = 36%). Providing definitions for each of the T, N, and M factors statistically improved their respective accuracies (T: odds ratio [OR] = 2.35, p < 0.001; N: OR = 1.94, p < 0.01; M: OR = 2.50, p < 0.001). Japanese reports exhibited decreased N and M accuracies (N accuracy: OR = 0.74 and M accuracy: OR = 0.21). Conclusions: This study underscores the potential of multilingual LLMs for automatic TNM classification in radiology reports. Even without additional model training, performance improvements were evident with the provided TNM definitions, indicating LLMs' relevance in radiology contexts. [ABSTRACT FROM AUTHOR]

Simple Summary: Surgical metastasectomy has been the primary choice for local therapy in patients with lung metastasis secondary to sarcoma. Over recent decades, however, stereotactic body radiation therapy (SBRT) has been employed more extensively in the treatment of lung metastasis. SBRT is associated with less toxicity and similar outcomes compared with surgical metastasectomy. When used with chemotherapy and surgery in a multimodal treatment plan, SBRT can improve the cure rate and prolong survival. Background: Stereotactic body radiotherapy (SBRT) is increasingly used to treat lung metastasis (LM) in patients with soft tissue sarcoma (STS) and bone sarcoma (BS). Methods: This retrospective study evaluated the outcomes of patients with BS and STS treated with SBRT for LM between 2010 and 2023. Results: We enrolled 102 patients (51 each with STS and BS), of whom 71 were males and 31 were females (median age, 40 years; range, 11–81 years). At diagnosis, 76 and 26 patients had localized and metastatic disease, respectively, with a median of 4 recurrences (range, 1–12). Before SBRT, 75 patients received chemotherapy and 52 underwent surgery for LM, with 276 nodules treated with SBRT (median dose, 48 Gy; range, 40–52). Local control of irradiated LM was 86% at 1 year and 78% at 2 years. By 31 December 2023 (median follow-up, 4.8 years), 60 patients had died and 42 survived (20 without ongoing disease). From the first LM relapse, the median overall survival (OS) was 4.8 years and the 5-year OS was 49% (95% confidence interval, 39–60%), with no difference between STS and BS; the median OS was 2.9 years and the 5-year OS was 36% after SBRT. Chemotherapy before SBRT was a negative prognostic factor by multivariate analysis. Conclusions: Long-term follow-up shows that SBRT as part of a multimodal treatment approach has reasonable survival rates in patients with LM due to sarcoma. Compared with historical results using only surgery and chemotherapy, SBRT has improved the 5-year OS. [ABSTRACT FROM AUTHOR]

Simple Summary: TRPS1 (trichorhinophalangeal syndrome type 1) is a protein that has become an important marker for diagnosing breast cancer, especially in difficult-to-diagnose cases like triple-negative breast cancer. This review explores the expression of TRPS1 in various cancers beyond breast tissue, such as prostate, lung, and ovarian cancers, and discusses its role as a diagnostic tool. While TRPS1 is a highly sensitive marker for breast cancer, its presence in other tumor types poses challenges for pathologists. Our review aims to raise awareness of these diagnostic pitfalls and emphasizes the importance of using multiple markers to improve accuracy. Understanding the broader expression of TRPS1 can help to improve cancer diagnosis and treatment strategies. Background/Objectives: Immunohistochemical expression of TRPS1 (trichorhinophalangeal syndrome type 1) protein is usually used by pathologists to confirm breast origin for triple-negative breast cancers (TNBC) or metastatic carcinomas of unknown primary. However, recent studies have reported TRPS1 expression in a variety of non-breast lesions. This review aims to provide a comprehensive evaluation of TRPS1 expression across various tumor types, highlighting both its diagnostic utility and potential pitfalls that may arise in clinical practice. Methods: A thorough search of the PubMed database on TRPS1 immunoexpression in tumor pathology was conducted. While the gene itself has been known for several decades, most studies regarding its use in immunohistochemistry emerged in the late 2010s. Particular emphasis was placed on case reports and cohort studies that examined the implications of TRPS1 expression in non-breast tissues, as well as variations in the results between commercially available TRPS1 clones, which may influence the staining intensity and specificity. Results: TRPS1 demonstrated a strong diagnostic utility in identifying primary breast lesions, particularly in TNBC cases. However, its expression in a growing number of non-breast cancers, such as lung adenocarcinoma, prostate adenocarcinoma, urothelial carcinoma, ovarian high-grade serous carcinoma, and endometrial adenocarcinoma, as well as up to 96% of synovial sarcomas with SS18-SSX fusion, emphasizes the need for caution when interpreting TRPS1 positivity and suggests a multi-marker approach in order to increase the diagnostic accuracy. Conclusions: While TRPS1 remains a highly sensible immunohistochemical marker for confirming breast primary lesions, pathologists should be aware of its low specificity and incorporate complementary diagnostic methods in order to ensure accurate clinical management. Further research should focus on elucidating the molecular pathways regulating TRPS1 expression in various tumor types, which may better define its clinical utility. [ABSTRACT FROM AUTHOR]

Introduction: The aim of the study was to establish an ultrasonographic radiomics machine learning model based on endobronchial ultrasound (EBUS) to assist in diagnosing benign and malignant mediastinal and hilar lymph nodes (LNs). Methods: The clinical and ultrasonographic image data of 197 patients were retrospectively analyzed. The radiomics features extracted by EBUS-based radiomics were analyzed by the least absolute shrinkage and selection operator. Then, we used a support vector machine (SVM) algorithm to establish an EBUS-based radiomics model. A total of 205 lesions were randomly divided into training (n = 143) and validation (n = 62) groups. The diagnostic efficiency was evaluated by receiver operating characteristic (ROC) curve analysis. Results: A total of 13 stable radiomics features with non-zero coefficients were selected. The SVM model exhibited promising performance in both groups. In the training group, the SVM model achieved an ROC area under the curve (AUC) of 0.892 (95% CI: 0.885–0.899), with an accuracy of 85.3%, sensitivity of 93.2%, and specificity of 79.8%. In the validation group, the SVM model had an ROC AUC of 0.906 (95% CI: 0.890–0.923), an accuracy of 74.2%, a sensitivity of 70.3%, and a specificity of 74.1%. Conclusion: The EBUS-based radiomics model can be used to differentiate mediastinal and hilar benign and malignant LNs. The SVM model demonstrated excellent potential as a diagnostic tool in clinical practice. [ABSTRACT FROM AUTHOR]

Introduction: Previous meta-analyses have explored the diagnostic accuracy and safety of computed tomography-guided percutaneous lung biopsy of ground-glass opacities (GGOs). However, no research investigated the role of nonsurgical biopsies (including transbronchial approaches). Additionally, studies reporting the diagnostic accuracy of GGOs with different characteristics are scarce, with no quantitative assessment published to date. We performed a systematic review to explore the diagnostic accuracy and safety of nonsurgical biopsy for diagnosing GGOs, especially those with higher ground-glass components and smaller nodule sizes. Methods: A thorough literature search of four databases was performed to compile studies evaluating both or either of the diagnostic accuracy and complications of nonsurgical biopsy for GGOs. A bivariate random-effects model and random-effect model were utilized for data synthesis. The methodological quality of the studies was assessed according to the Quality Assessment of Diagnostic Accuracy Studies-2 tool. Results: Nineteen eligible studies with a total of 1,379 biopsy-sampled lesions were analyzed, of which 1,124 were confirmed to be malignant. Nonsurgical biopsy reported a pooled sensitivity of 0.89, a specificity of 0.99, and a negative predictive value (NPV) of 60.3%. The overall sensitivity, specificity, and NPV of nonsurgical biopsy for diagnosing GGOs according to GGO component were 0.90, 0.99, and 77.2% in pure GGOs; 0.87, 0.99, and 67.2% in GG-predominant lesions; and 0.89, 1.00, and 44.1% in solid-predominant lesions, respectively. Additionally, the diagnostic sensitivity was better in lesions ≥20 mm than in small lesions (0.95 vs. 0.88). Factors that contributed to higher sensitivity were the use of a coaxial needle system and CT fluoroscopy but not the needle gauge. The summary sensitivity of core needle biopsy (CNB) was not significantly higher than fine needle aspiration (FNA) (0.92 vs. 0.84; p = 0.42); however, we found an increased incidence of hemorrhage in CNB compared with FNA (60.9 vs. 14.2%; p = 0.012). Conclusion: Nonsurgical biopsy for diagnosing GGOs shows high sensitivity and specificity with an acceptably low risk of complications. However, negative biopsy results are unreliable in excluding malignancy, necessitating resampling or subsequent follow-up. The applicability of our study is limited due to significant heterogeneity, indirect comparisons, and the paucity of data on bronchoscopic approaches, restricting the generalizability of our findings to patients requiring transbronchial biopsies. [ABSTRACT FROM AUTHOR]

Background: The emergence of chemoresistance markedly compromised the treatment efficiency of human cancer, including non‐small cell lung cancer (NSCLC). In the present study, we aimed to explore the effects of ubiquitin‐specific peptidase 22 (USP22) and murine double minute 2 (MDM2) in gefitinib resistance in NSCLC. Methods: Immunohistochemistry (IHC) assay, quantitative real‐time polymerase chain reaction (qRT‐PCR) assay and western blot assay were carried out to determine the expression of USP22 and MDM2. Transwell assay and flow cytometry analysis were performed to evaluate cell migration and apoptosis. Cell Counting Kit‐8 (CCK‐8) assay was employed to assess gefitinib resistance. The phenomenon of ferroptosis was estimated by related commercial kits. The oxidized C11‐BODIPY fluorescence intensity by C11‐BODIPY staining. The relation between USP22 and MDM2 was analyzed by ubiquitination assay and co‐immunoprecipitation (Co‐IP) assay. Results: USP22 was abnormally upregulated in NSCLC tissues and cells, and USP22 silencing markedly repressed NSCLC cell migration and facilitated apoptosis and ferroptosis. Moreover, our results indicated that ferroptosis could enhance the suppressive effect of gefitinib on NSCLC cells. Besides, USP22 overexpression enhanced gefitinib resistance and ferroptosis protection in NSCLC cells. Mechanically, USP22 stabilized MDM2 and regulated MDM2 expression through deubiquitination of MDM2. MDM2 deficiency partially restored the effects of USP22 on gefitinib resistance and ferroptosis in NSCLC cells. Of note, we validated the promotional effect of USP22 on gefitinib resistance in NSCLC in vivo through establishing the murine xenograft model. Conclusion: USP22/MDM2 promoted gefitinib resistance and inhibited ferroptosis in NSCLC, which might offer a novel strategy for overcoming gefitinib resistance in NSCLC. [ABSTRACT FROM AUTHOR]

This is the first case report of a non‐small‐cell lung cancer (NSCLC) patient harboring HIP1‐ALK (H28:A20) and CTNNB1 p.S45del treated with first‐line alectinib. Approximately 5% of NSCLC patients are reported to have anaplastic lymphoma kinase (ALK) rearrangements, and among these EML4‐ALK is the most frequent fusion variant. However, in recent years the use of next‐generation sequencing (NGS) in clinical laboratories has become increasingly widespread, identifying a lot of new ALK fusion partners as well as a large quantity of co‐occurring genomic alterations. Unfortunately, the growing number of genomic alterations detected by NGS does not always correspond to adequate knowledge of their clinical significance, often resulting in an empiric treatment of patients harboring uncommon mutations. [ABSTRACT FROM AUTHOR]

Purpose: To identify potential predictors of prolonged length of hospital stay in patients submitted to lung resection surgery. Materials and methods: This is a cohort study, carried out in 105 patients with lung cancer, submitted to posterolateral thoracotomy pulmonary resection. Data collection included preoperative assessment of demographic, clinical, pulmonary function, respiratory muscle function, physical fitness, and behavioral habits. After surgery, length of hospital stay was documented, and the sample was divided into two groups according to the length of hospital stay (LOS): the normal hospital stay group (NLOS) until 8 days, and the prolonged hospital stay group (PLOS) with more than 8 days of hospital stay. Multiple linear regressions were performed between length of hospital stay and the studied variables, for the total sample and, specifically, for the PLOS group. Results: The multiple linear regression for the total sample, the most explanatory power variables were TLC, MIP, PEF, and BMI. When considering only the PLOS, the variables that mostly explained were the MIP%, MEP and TLC%. Conclusion: Besides the classic outcomes used to calculate surgical risk, the body mass index, respiratory muscle strength, peak expiratory flow, and total lung capacity are predictors of the variation on length of hospital stay in patients submitted to lung resection. IMPLICATIONS FOR REHABILITATION: The addition of the respiratory muscles function in the preoperative assessment, might contribute to predict prolonged hospital stay in patients submitted to lung resection surgery. Respiratory muscle strength might be included in a prehabilitation program for patients selected to lung resection surgery. The preoperative respiratory muscle strength increment might contribute to reduce economic cost related to prolonged hospital stay after pulmonary resection surgery. [ABSTRACT FROM AUTHOR]

Objective: The study aims to investigate the role of dynamic [18F]FDG PET/CT imaging by high-sensitivity PET/CT scanner for assessing patients with locally advanced non-small cell lung cancer (LA-NSCLC) who undergo induction immuno-chemotherapy, followed by concurrent hypo-fractionated chemoradiotherapy (hypo-CCRT) and consolidative immunotherapy. Methods: Patients with unresectable LA-NSCLC are prospectively recruited. Dynamic [18F]FDG PET/CT scans are conducted at four timepoints: before treatment (Baseline), after induction immuno-chemotherapy (Post-IC), during hypo-CCRT (Mid-hypo-CCRT) and after hypo-CCRT (Post-hypo-CCRT). The primary lung tumors (PTs) are manually delineated, and the metabolic features, including the Patlak-Ki (Ki), maximum SUV (SUVmax), metabolic tumor volume (MTV) and total lesion glycolysis (TLG) have been evaluated. The expressions of CD3, CD8, CD68, CD163, CD34 and Ki67 in primary lung tumors at baseline are assayed by immunohistochemistry. The levels of blood lymphocytes at four timepoints are analyzed with flow cytometry. Results: Fifteen LA-NSCLC patients are enrolled between December 2020 and December 2022. Baseline Ki of primary tumor yields the highest AUC values of 0.722 and 0.796 for predicting disease progression and patient death, respectively. Patients are classified into the High FDG Ki group (n = 8, Ki > 2.779 ml/min/100 g) and the Low FDG Ki group (n = 7, Ki ≤ 2.779 ml/min/100 g). The High FDG Ki group presents better progression-free survival (P = 0.01) and overall survival (P = 0.025). The High FDG Ki group exhibits more significant reductions in Ki after hypo-CCRT compared to the Low FDG Ki group. Patients with a reduction in Ki > 73.1% exhibit better progression-free survival than those with a reduction ≤ 73.1% in Ki (median: not reached vs. 7.33 months, P = 0.12). The levels of CD3+ T cells (P = 0.003), CD8+ T cells (P = 0.002), CD68+ macrophages (P = 0.071) and CD163+ macrophages (P = 0.012) in primary tumor tissues are higher in the High FDG Ki group. The High FDG Ki group has higher CD3+CD8+ lymphocytes in blood at baseline (P = 0.108), post-IC (P = 0.023) and post-hypo-CCRT (P = 0.041) than the Low FDG Ki group. Conclusions: The metabolic features in the High FDG Ki group significantly decrease during the treatment, particularly after induction immuno-chemotherapy. The Ki value of primary tumor shows significant relationship with the treatment response and survival in LA-NSCLC patients by the combined immuno-chemoradiotherapy regimen. Trial registration: ClinicalTrials.gov. NCT04654234. Registered 4 December 2020. [ABSTRACT FROM AUTHOR]

Context.--: Primary thoracic neoplasms are rare in children, whereas nonneoplastic mass lesions or cysts and metastases are more common, and there is a relative paucity of comprehensive histopathologic and molecular data. Objective.--: To define the clinicopathologic spectrum of neoplastic and nonneoplastic diseases observed in resected mass lesions in the chest of pediatric patients, and to identify somatic alterations observed in primary neoplasms. Design.--: Clinicopathologic features of thoracic mass lesions (n = 385) resected from 373 patients aged ≤21 years in a 25-year period (1993-2018) were included. Primary neoplasms having sufficient material were tested by a laboratory-developed comprehensive genomic profiling assay that assesses tumor mutational burden, microsatellite instability, somatic sequence variants, gene amplifications, fusions, and specific transcript variants. Results.--: The most commonly resected space-occupying lesions were nonneoplastic mass lesions and cysts or malformations, resected in 117 (31.4%) and 58 of 373 patients (15.5%) respectively. Metastatic neoplasms were observed in 169 of 373 patients (45.3%; mean age 14.4 years, range 1-21 years); the most common was osteosarcoma (68 of 169; 40.2% of metastases). Primary lung neoplasms occurred in 24 of 373 patients (6.4%; mean age 14.5 years, range 6 months-21 years), and 16 patients had primary extrapulmonary thoracic tumors. Carcinoid tumor was the most common primary lung neoplasm (7 typical, 3 atypical). Molecular testing showed a prevalence of somatic pathogenic or likely pathogenic mutations and copy-number alterations. No fusions or splice variants were identified. Tumors were microsatellite-stable with low tumor mutational burden. Conclusions.--: Resected pediatric thoracic mass lesions are more likely to be metastatic lesions, congenital cysts or malformations, or nonneoplastic lesions compared to primary thoracic neoplasms, which are encountered at a low frequency and tend to have relatively simple genetic profiles. [ABSTRACT FROM AUTHOR]

Purpose: To compare the diagnostic performance of standalone deep learning (DL) algorithms and human experts in lung cancer detection on chest computed tomography (CT) scans. Materials and methods: This study searched for studies on PubMed, Embase, and Web of Science from their inception until November 2023. We focused on adult lung cancer patients and compared the efficacy of DL algorithms and expert radiologists in disease diagnosis on CT scans. Quality assessment was performed using QUADAS-2, QUADAS-C, and CLAIM. Bivariate random-effects and subgroup analyses were performed for tasks (malignancy classification vs invasiveness classification), imaging modalities (CT vs low-dose CT [LDCT] vs high-resolution CT), study region, software used, and publication year. Results: We included 20 studies on various aspects of lung cancer diagnosis on CT scans. Quantitatively, DL algorithms exhibited superior sensitivity (82%) and specificity (75%) compared to human experts (sensitivity 81%, specificity 69%). However, the difference in specificity was statistically significant, whereas the difference in sensitivity was not statistically significant. The DL algorithms' performance varied across different imaging modalities and tasks, demonstrating the need for tailored optimization of DL algorithms. Notably, DL algorithms matched experts in sensitivity on standard CT, surpassing them in specificity, but showed higher sensitivity with lower specificity on LDCT scans. Conclusion: DL algorithms demonstrated improved accuracy over human readers in malignancy and invasiveness classification on CT scans. However, their performance varies by imaging modality, underlining the importance of continued research to fully assess DL algorithms' diagnostic effectiveness in lung cancer. Clinical relevance statement: DL algorithms have the potential to refine lung cancer diagnosis on CT, matching human sensitivity and surpassing in specificity. These findings call for further DL optimization across imaging modalities, aiming to advance clinical diagnostics and patient outcomes. Key Points: Lung cancer diagnosis by CT is challenging and can be improved with AI integration. DL shows higher accuracy in lung cancer detection on CT than human experts. Enhanced DL accuracy could lead to improved lung cancer diagnosis and outcomes. [ABSTRACT FROM AUTHOR]

This article comprehensively elucidates the discovery of Krebs von den Lungen-6 (KL-6), its structural features, functional mechanisms, and the current research status in various respiratory system diseases. Discovered in 1985, KL-6 was initially considered a tumor marker, but its elevated levels in interstitial lung disease (ILD) led to its recognition as a relevant serum marker for ILD. KL-6 is primarily produced by type 2 alveolar epithelial cell regeneration. Over the past 30 years since the discovery of KL-6, the number of related research papers has steadily increased annually. Following the coronavirus disease 2019 (COVID-19) pandemic, there has been a sudden surge in relevant literature. Despite KL-6's potential as a biomarker, its value in the diagnosis, treatment, and prognosis varies across different respiratory diseases, including ILD, idiopathic pulmonary fibrosis (IPF), COVID-19, and lung cancer. Therefore, as an important serum biomarker in respiratory system diseases, the value of KL-6 still requires further investigation. [ABSTRACT FROM AUTHOR]

Objective(s): This study investigated the inhibitory effect of apatinib on lung cancer cells with high expression of vascular endothelial growth factor-2 (VEGFR-2) and on inducing cellular autophagy and drug resistance. Materials and Methods: The expression of VEGFR-2 was detected using western blotting and RT-PCR. Cell proliferation was measured using the CCK8 and colony formation assays. The cell apoptosis rate was determined using flow cytometry and tunnel assay. Cellular autophagy was detected by measuring the expression of LC3-II using Western blotting and cellular immunofluorescence. The inhibitory effect of apatinib on lung cancer cells and transplanted tumors was observed after treatment with the autophagy inhibitor chloroquine. Results: Apatinib dose-dependently inhibited the proliferation of H1975 and H446 cells; it induced apoptosis via the PARP and caspase-3 pathways in H1975 and H446 cells and effectively inhibited the growth of transplanted tumors. Apatinib induced autophagy in a dose-dependent manner in H1975 and H446 cells. The inhibitory effect of apatinib on cells and the promotion of apoptosis were significantly enhanced after treatment with chloroquine. Immunohistochemistry showed that combining apatinib with chloroquine could reduce the expression of CD31 and Ki67 and increase the expression of caspase-3. Conclusion: Apatinib inhibits proliferation and induces apoptosis in H1975 and H1446 lung cancer cells with high VEGFR2 expression and autophagy in H1975 and H446 cells. [ABSTRACT FROM AUTHOR]

Oncology clinicians often miss opportunities to communicate empathy to patients. The current study examined the relationship between implicit bias (based on cancer type and ethnicity) and medical students' empathic communication in encounters with standardized patients who presented as Hispanic (lung or colorectal) individuals diagnosed with cancer. Participants (101 medical students) completed the Implicit Association Test (IAT) to measure implicit bias based on cancer type (lung v. colorectal) and ethnicity (Hispanic v. non-Hispanic White). Empathic opportunities and responses (assessed by the Empathic Communication Coding System; ECCS) were evaluated in a mock consultation (Objective Structured Clinical Examination; OSCE) focused on smoking cessation in the context of cancer. Among the 241 empathic opportunities identified across the 101 encounters (M = 2.4), 158 (65.6%) received high empathy responses from the medical students. High empathy responses were most frequently used during challenge (73.2%) and emotion (77.3%) opportunities compared to progress (45.9%) opportunities. Higher levels of implicit bias against Hispanics predicted lower odds of an empathic response from the medical student (OR = 3.24, p =.04, 95% CI = 0.09–0.95). Further work is needed to understand the relationship between implicit bias and empathic communication and inform the development of interventions. [ABSTRACT FROM AUTHOR]

The transformative role of artificial intelligence (AI) and multiomics could enhance the diagnostic and prognostic capabilities of liquid biopsy (LB) for lung cancer (LC). Despite advances, the transition from tissue biopsies to more sophisticated, non‐invasive methods like LB has been impeded by challenges such as the heterogeneity of biomarkers and the low concentration of tumour‐related analytes. The advent of multiomics – enabled by deep learning algorithms – offers a solution by allowing the simultaneous analysis of various analytes across multiple biological fluids, presenting a paradigm shift in cancer diagnostics. Through multi‐marker, multi‐analyte and multi‐source approaches, this review showcases how AI and multiomics are identifying clinically valuable biomarker combinations that correlate with patients' health statuses. However, the path towards clinical implementation is fraught with challenges, including study reproducibility and lack of methodological standardization, thus necessitating urgent solutions to solve these common issues. [ABSTRACT FROM AUTHOR]

Objectives: This systematic review aims to assess existing research concerning the use of robotic systems to execute percutaneous lung biopsy. Methods: A systematic review was performed and identified 4 studies involving robotic systems used for lung biopsy. Outcomes assessed were operation time, radiation dose to patients and operators, technical success rate, diagnostic yield, and complication rate. Results: One hundred and thirteen robot-guided percutaneous lung biopsies were included. Technical success and diagnostic yield were close to 100%, comparable to manual procedures. Technical accuracy, illustrated by needle positioning, showed less frequent needle adjustments in robotic guidance than in manual guidance (P <.001): 2.7 ± 2.6 (range 1-4) versus 6 ± 4 (range 2-12). Procedure time ranged from comparable to reduced by 35% on average (20.1 ± 11.3 minutes vs 31.4 ± 10.2 minutes, P =.001) compared to manual procedures. Patient irradiation ranged from comparable to reduced by an average of 40% (324 ± 114.5 mGy vs 541.2 ± 446.8 mGy, P =.001). There was no significant difference in reported complications between manual biopsy and biopsies that utilized robotic guidance. Conclusion: Robotic systems demonstrate promising results for percutaneous lung biopsy. These devices provide adequate accuracy in probe placement and could both reduce procedural duration and mitigate radiation exposure to patients and practitioners. However, this review underscores the need for larger, controlled trials to validate and extend these findings. [ABSTRACT FROM AUTHOR]

Patients with serious illnesses often do not engage in discussions about end-of-life care decision-making, or do so reluctantly. These discussions can be useful in facilitating advance care planning and connecting patients to services such as palliative care that improve quality of life. Terror Management Theory, a social psychology theory stating that humans are motivated to resolve the discomfort surrounding their inevitable death, has been discussed in the psychology literature as an underlying basis of human decision-making and behavior. This paper explores how Terror Management Theory could be extended to seriously ill populations and applied to their healthcare decision-making processes and quality of care received. [ABSTRACT FROM AUTHOR]

PURPOSE Pediatric lung tumors are primarily discussed in the surgical literature. However, limited research has been reported on their imaging findings, and only a few tumor types have been documented. Therefore, the aim of this article is to describe the imaging features of primary lung tumors in children. METHODS The archives of the pediatric radiology unit were reviewed for primary lung tumors documented between 2007 and 2023. In total, 24 patients (9 girls and 15 boys; aged 5 months to 16 years) were included in the study. Their demographic characteristics, clinical presentation, and histopathologic results were obtained. All imaging studies were reviewed by two radiologists for various findings (e.g., lymphadenopathy, atelectasis, pleural effusion, calcification, multiplicity, pneumothorax, axial and lobar location, laterality, tumor margin, mediastinal shift, contrast enhancement pattern, signal intensity on T1- and T2-weighted images, and diffusion pattern), and a final decision was made by consensus. The mean tumor size was compared between the benign and malignant groups using a t-test. RESULTS There were 15 (62.5%) benign tumors, as follows: inflammatory myofibroblastic tumor (IMT; n = 10, 41%), hemangioma (n = 2, 8%), pneumocytoma (n = 2, 8%), and mature cystic teratoma (n = 1, 4%). Moreover, there were 9 (37.5%) malignant tumors, as follows: pleuropulmonary blastoma (PPB; n = 6, 25%), adenocarcinoma (n = 2, 8%), and lymphoepithelioma-like carcinoma (LELC) (n = 1, 4%). The most frequently reported symptoms were cough, fever, dyspnea, chest pain, and recurrent infection; six patients reported no clinical symptoms. Fifteen tumors (62%) were located in the right lung. The mean tumor diameter at the time of diagnosis was 6.4 ± 3 cm (benign group: 6.7 ± 3.4 cm; malignant group: 6 ± 2.3 cm, P > 0.050). Calcification was present in 80% of the patients with IMT. At the time of diagnosis, two (8.3%) patients were found to have metastasis: one was diagnosed with adenocarcinoma and the other with LELC. Tumors were located peripherally in 18 (75%) patients. CONCLUSION The symptoms associated with lung masses are non-specific. There is no correlation between tumor size and malignancy. The most common tumors observed in this study were IMT and PPB, respectively. IMT is highly associated with calcification. CLINICAL SIGNIFICANCE Primary lung tumors are rarely seen in children, and they have different histopathological types. Calcification might be an important radiological clue for the diagnosis of IMT, which is the most common lung tumor in children. [ABSTRACT FROM AUTHOR]

Background Immune checkpoint inhibitors (ICI) are associated with a distinct spectrum of toxicities. Data on irAE hospitalization rates and clinical course of patients with thoracic malignancies are lacking. Methods Patients with advanced thoracic malignancy treated with ICI (2/2016 to 6/2021) were retrospectively identified. Demographic and clinical data of confirmed irAE hospitalizations were extracted from the medical record and a descriptive analysis was performed. Results From February 2016 to June 2021, 1312 patients with thoracic malignancy received ICI (monotherapy, combination with 2nd ICI or other agents) with 102 patients (7.7%) hospitalized for irAEs. Treatment intent was first-line therapy in most patients (N  = 50, 49%) with 9% (n = 9) receiving adjuvant ICI (N  = 9). Sixty patients (59%) received ICI alone, 32% (N  = 33) chemo plus immunotherapy, and 7% (N  = 7) dual ICI. The median age on admission was 68 years. The median time between ICI initiation and admission was 64 days (1-935 days). Pneumonitis (32.3%; 33/102) was the most frequent indication for admission followed by gastroenterocolitis (19.6%; 20/102), hepatitis (12.7%; 13/102), myo/pericarditis (9.8%; 10/102), and endocrinopathies (9.8%; 10/102). Multi-organ toxicity occurred in 36% (N  = 37) of patients. Overall, 85.2% (87/102) of patients received systemic corticosteroids and 17.6% (18/102) required additional lines of immunosuppression. The median length of hospitalization stay was 7 days (2-28 days) with a 25.5% (n  = 26) readmission rate within 60 days and an 11.8% (n  = 12) in house mortality rate. Conclusions Severe irAE requiring inpatient admission, although infrequent, results in considerable morbidity, mortality, and healthcare utilization. Pneumonitis was the most common irAE requiring inpatient management in our patient population with a significant risk of mortality despite the use of guideline-directed systemic immunosuppression. This study highlights the continued need for collaborative efforts amongst medical specialties for improving the diagnostic and therapeutic management of patients with irAEs. [ABSTRACT FROM AUTHOR]

Until the early 2000s, advanced or metastatic non–small cell lung cancer (NSCLC) was treated as a single disease with all histologic subtypes treated alike with standard chemotherapy agents. Over the past two decades, the treatment paradigms for advanced NSCLC have changed dramatically with the discovery of multiple targeted therapies that are now approved for the treatment of NSCLC tumors with specific oncogene drivers or molecular alterations. Molecular testing has become integrated and critical for the clinical management of advanced NSCLC. The discovery and success of these targeted therapies have reshaped the classification of NSCLC on the basis of molecular classification and enabled a personalized approach in thoracic oncology. In this review, we discuss recent developments in the molecular profiling of NSCLC, and approved and emerging targeted therapies for the treatment of NSCLC. In this review, we discuss recent developments in the molecular profiling of non–small cell lung cancer (NSCLC), and approved and emerging targeted therapies for the treatment of NSCLC. [ABSTRACT FROM AUTHOR]

Background: Molecular screening using next-generation sequencing (NGS) in the pathologic evaluation of lung cancer is considered the standard in clinical practice; hence, we evaluated the diagnostic yields of various sampling methods for NGS. Methods: NGS data from patients with lung cancer at the Pusan National University Hospital (Busan, South Korea), admitted October, 2020-April, 2023, was obtained. The sampling methods by which NGS data was obtained were divided into surgical and nonsurgical. Surgical methods included thoracoscopic surgery, surgical biopsy from the metastatic site, and lymph node excisional biopsy, whereas nonsurgical methods included bronchoscopy procedures and medical thoracoscopic biopsy. Results: In total, we obtained 319 patients' NGS data:150 (47.0%) and 169 (53.0%) was obtained using surgical and nonsurgical methods, respectively. The overall diagnostic yield of NGS analysis was 97.5% for all samples. There were no significant differences in the success rates of deoxyribonucleic acid sequencing between surgical and nonsurgical sampling methods (98.0% vs. 96.4%, p = 0.313). On the other hand, the success rate of ribonucleic acid (RNA) sequencing was significantly lower in the surgical method group (78.0% vs. 92.3%; p < 0.001). Multivariate analysis showed that surgical sampling significantly correlated with RNA sequencing failure (Odd Ratio 4.128, 95% Confidence Interval 1.681-10.133, p = 0.002). Conclusions: Small samples obtained using nonsurgical procedures are suitable for NGS analysis in clinical practice. However, surgical sampling showed a relatively lower success rate for RNA sequencing than nonsurgical sampling. This information may help in the development of protocols to reduce RNA degradation during the surgical process. [ABSTRACT FROM AUTHOR]

Purpose: To investigate the relationship between the changes of lactate dehydrogenase (LDH), neuron‐specific enolase (NSE), keratin‐19 fragment antigen 21‐1 (cyfra21‐1), and liver metastases of lung cancer. Methods: Eighty patients who had lung cancer that had spread to their liver diagnosed in our hospital from October 2021 to October 2023 (Group A), 80 individuals with advanced lung cancer who have metastasized to other sites (Group B), and 80 individuals with lung cancer who have not spread (control group) were selected as the study objects. LDH, NSE, and serum cyfra21‐1 levels of patients in the three groups were detected, and pathological results were used as the diagnostic gold standard. ROC curves were drawn to examine the clinical value of NSE, cyfra21‐1, and LDH levels in the distinct types of lung cancer identification of liver metastases. Results: There was no remarkable variation in pathological types among the three groups (p > 0.05), but there were remarkable variations in TNM stage and lymph node metastasis among the three groups (p < 0.05). The levels of cyfra21‐1, NSE, and LDH in Group A and Group B were greater compared to those in the control group (p < 0.05), and the levels of cyfra21‐1, NSE, and LDH in Group A were greater compared to those in Group B (p < 0.05). The critical value, sensitivity, specificity, and area under the curve (AUC) of serum cyfra21‐1 in the distinct identification of liver metastasis of lung cancer were 8.22 ng/mL, 37.42%, 65.18%, and 0.508, respectively. The critical value, sensitivity, specificity, and AUC of NSE for distinct types of lung cancer identification of liver metastases were 23.96 ng/mL, 64.56%, 81.23%, and 0.723, respectively. The critical value, sensitivity, specificity, and AUC of LDH for differential diagnosis of liver metastasis of lung cancer were 304.78 U/L, 75.65%, 85.73%, and 0.821. Conclusion: The serum levels of NSE, cyfra21‐1, and LDH in patients with liver metastasis of lung cancer were remarkably greater compared to patients without liver metastasis, which can be useful as a clinical auxiliary in determining lung cancer metastasis. [ABSTRACT FROM AUTHOR]

Primary lung cancer is the leading cause of cancer‐related death worldwide. Recent statistics estimate 1.8 million new cases and 1.6 million deaths per year. Despite significant advances in surgery, chemotherapy, and radiotherapy, the 5‐year survival rate remains at just 18%. Thermal ablation is an established treatment that is safe and effective. It refers to the local application of controlled heat to induce irreversible cell injury and ultimately tumor apoptosis and necrosis. This approach is particularly suitable for the treatment of small tumors in patients who are not suitable for surgery. However, the lack of suitable benchtop models to assess ablation devices complicates prognostic prediction and the development of effective treatment strategies. In this context, the development of a 3D lung tumor model is presented using a cancer cell‐laden hydrogel composed of 2% hyaluronic acid–tyramine (HA‐TA) and 0.5% agarose, resulting in a tumor mimetic of clinically relevant size. This innovative model provides a valuable platform for testing ablation devices and provides insights that can significantly improve prognostic ability and refine treatment approaches for lung cancer patients. [ABSTRACT FROM AUTHOR]

Age is a major risk factor for cancer, but how aging impacts tumor control remains unclear. In this study, we establish that aging of the immune system, regardless of the age of the stroma and tumor, drives lung cancer progression. Hematopoietic aging enhances emergency myelopoiesis, resulting in the local accumulation of myeloid progenitor-like cells in lung tumors. These cells are a major source of interleukin (IL)-1α, which drives the enhanced myeloid response. The age-associated decline of DNA methyltransferase 3A enhances IL-1α production, and disrupting IL-1 receptor 1 signaling early during tumor development normalized myelopoiesis and slowed the growth of lung, colonic, and pancreatic tumors. In human tumors, we identified an enrichment for IL-1α-expressing monocyte-derived macrophages linked to age, poorer survival, and recurrence, unraveling how aging promotes cancer and offering actionable therapeutic strategies. [ABSTRACT FROM AUTHOR]

Interactions between tumoral cells and tumor‐associated bacteria within the tumor microenvironment play a significant role in tumor survival and progression, potentially impacting cancer treatment outcomes. In lung cancer patients, the Gram‐negative pathogen Pseudomonas aeruginosa raises questions about its role in tumor survival. Here, a microfluidic‐based 3D‐human lung tumor spheroid‐P. aeruginosa model is developed to study the bacteria's impact on tumor survival. P. aeruginosa forms a tumor‐associated biofilm by producing Psl exopolysaccharide and secreting iron‐scavenging pyoverdine, which is critical for establishing a bacterial community in tumors. Consequently, pyoverdine promotes cancer progression by reducing susceptibility to iron‐induced death (ferroptosis), enhancing cell viability, and facilitating several cancer hallmarks, including epithelial–mesenchymal transition and metastasis. A promising combinatorial therapy approach using antimicrobial tobramycin, ferroptosis‐inducing thiostrepton, and anti‐cancer doxorubicin could eradicate biofilms and tumors. This work unveils a novel phenomenon of cross‐kingdom cooperation, where bacteria protect tumors from death, and it paves the way for future research in developing antibiofilm cancer therapies. Understanding these interactions offers potential new strategies for combatting cancer and enhancing treatment efficacy. [ABSTRACT FROM AUTHOR]

Primary pulmonary leiomyosarcoma (PPL) arises from pulmonary smooth muscle tissue, with less than 0.5% incidence among pulmonary malignancies and 30% among primary pulmonary sarcomas. Here, we present a case of PPL managed with pazopanib. Moreover, a brief review of relevant literature was conducted. A 65-year-old female presented with chronic cough, weight loss, and recurrent pneumonia, with a medical history including diabetes mellitus, hypertension, and hyperlipidemia, as well as past surgical colectomy and hysterectomy (due to abnormal uterine bleeding with normal pathology and no evidence of uterine leiomyosarcoma). Upon admission, she exhibited fever, cough, dyspnea, and decreased breath sounds over the upper lung lobe. Diagnostic workups revealed a large pulmonary mass, diagnosed as leiomyosarcoma via core needle biopsy and subsequent immunohistochemical staining. Neoadjuvant treatment with ifosfamide and adriamycin followed by chemoradiotherapy was attempted, but surgery for tumor resection was not feasible. Then, gemcitabine and docetaxel were chosen as the new treatment after ifosfamide and adriamycin were not effective. Imaging revealed tumor not reacting to latest treatment, either. Given the disease's persistence and the patient's diminished capacity for chemotherapy, the patient is presently undergoing pazopanib treatment, with ongoing monitoring of its effects. After 3 months of treatment with pazopanib (administered orally at 200 mg twice daily), the patient experienced a significant reduction in tumor size, with a notable decrease from 135 mm to 80 mm, approximating one-third of the initial size, indicating a positive therapeutic effect. This case report provides preliminary evidence suggesting that pazopanib, an oral multi-tyrosine kinase inhibitor, may be a promising therapeutic option for the management of PPL. However, further in-depth and long-term studies are warranted to evaluate the clinical efficacy and superiority of this treatment. [ABSTRACT FROM AUTHOR]

Radiotherapy is a crucial component in the holistic management of breast cancer, with approximately 60% of individuals diagnosed with breast cancer requiring this treatment. As the survival rate of individuals with breast cancer has significantly increased, there is a growing focus on the long‐term well‐being of patients. Proton therapy (PT) is a new and rapidly developing radiotherapy method. In comparison with conventional photon therapy, PT offers the benefits of decreased radiation toxicity and increased dosage in the designated region. This can extend patients' lifespan and enhance their overall well‐being. The present analysis examines the function of PT in diminishing the harmful effects of radiation in cases of breast cancer, while also providing a brief overview of the future potential and obstacles associated with PT for breast cancer. [ABSTRACT FROM AUTHOR]

Ocular metastasis is a rare type of distant metastasis of lung cancer. Limited information is available regarding ocular symptoms, diagnosis, treatment, and prognosis. We reported 16 patients diagnosed with ocular metastasis from lung cancer treated at our hospital from January 1988 to March 2024 and conducted a systematic review of 100 patients retrieved from the PubMed database from January 2014 to December 2023. A pooled analysis was performed using individual‐level patient data to generate the hazard ratio (HR) of the association between patient characteristics and overall survival. A total of 116 patients, 100 patients from the literature and 16 patients from our center, diagnosed with ocular metastasis from lung cancer were included in this study. Choroid metastasis was presented in 77 (66.4%) patients and was significantly associated with the onset of lung cancer with ocular symptoms and decreased vision; iris metastasis was significantly associated with small cell lung cancer (SCLC), high intraocular pressure, and ocular pain. Multivariate analyses revealed that males (HR, 2.488; 95% confidence interval [CI], 1.127–5.495), age ≥ 60 years (HR, 3.196; 95% CI, 1.391–7.341), and onset with ocular symptoms (HR, 4.312; 95% CI, 1.675–11.099) were significantly associated with overall survival. For non‐SCLC (NSCLC) patients, compared with chemotherapy, targeted therapy (HR, 0.238; 95% CI, 0.087–0.651) and combined therapy (HR, 0.133; 95% CI, 0.017–0.822) have greater therapeutic efficacy. Chemotherapy combined with immunotherapy and targeted therapy are more effective than chemotherapy alone for ocular metastatic NSCLC patients. For patients with targetable mutations, new‐generation tyrosine kinase inhibitors (TKIs) are preferred. [ABSTRACT FROM AUTHOR]

Background: Patients with early‐stage lung cancer and interstitial lung disease have a poorer prognosis than those without interstitial lung disease. This study aimed to compare the long‐term outcomes of lobar and sublobar resections in these patients. Methods: We retrospectively analyzed 138 consecutive patients with clinical stage I non‐small cell lung cancer and interstitial lung disease who underwent surgical treatment at two institutions between January 2010 and December 2020. Propensity score matching analysis was performed to adjust for baseline characteristics. Results: Thirty‐six patients underwent sublobar resection and 102 underwent lobar resection. The median follow‐up was 45.7 months. In all patients, 5‐year overall survival (OS) rates were 33.2% and 73.2%, and 5‐year recurrence‐free survival (RFS) rates were 24.2% and 60.1% in the sublobar and lobar resection groups, respectively (p < 0.01, <0.01). Death due to lung cancer and locoregional recurrence were significantly more frequent in the sublobar resection group than in the lobar resection group (p = 0.034, <0.01, respectively). On propensity score matching analysis, the 5‐year OS rates of the 19 matched pairs were 46.3% and 73.2%, and the RFS rates were 31.6% and 67.6% in the sublobar and lobar resection groups, respectively (p = 0.036, <0.01). The Cox proportional hazards model demonstrated a significant association between lobar resection and improved survival (p = 0.047). Conclusion: The patients in the lobar resection group had better survival rates than those in the sublobar resection group. In terms of long‐term prognosis, deliberately limited surgery may not be necessary for patients who tolerate lobectomy. [ABSTRACT FROM AUTHOR]

Introduction: Carney's triad is a rare syndrome characterized by the co-occurrence of gastric gastrointestinal stromal tumor (GIST), pulmonary chondroma, and extra-adrenal paraganglioma. We present a case of a young woman with GISTs associated with this triad. Case presentation: A 28-year-old woman was identified with multiple gastric tumors and a right lung nodule during a routine health check-up. CT scans and upper gastrointestinal endoscopy revealed a 50 mm mass on the lesser curvature of the stomach, along with two additional gastric lesions and a 20 mm nodule in the right lung. The patient had a history of right middle lobectomy at the age of 19 for pulmonary chondroma. During surgery, enlarged lymph nodes were observed, indicating metastasis, which necessitated a total gastrectomy with radical (D2) lymph node dissection. Pathological examination confirmed seven GISTs, with immunohistochemical staining positive for KIT (+), DOG1 (+), and negative for SDHB (−). The postoperative course was uneventful, and the patient was discharged on the seventh postoperative day. Despite opting out of adjuvant imatinib therapy, she remains disease-free 2 years postoperatively. Conclusions: This case underscores the necessity of total gastrectomy with lymph node dissection due to the high incidence of metastasis in GISTs associated with Carney's triad. Further research is required to determine the optimal extent of lymph node dissection in such cases. [ABSTRACT FROM AUTHOR]

Purpose: We present a probabilistic approach to medical image analysis that requires, and makes use of, explicit prior information provided by a medical expert. Depending on the choice of prior model the method can be used for image enhancement, analysis, and segmentation. Methods: The methodology is based on a probabilistic approach to medical image analysis, that allows integration of 1) arbitrarily complex prior information (for which realizations can be generated), 2) information about a convolution operator of the imaging system, and 3) information about the noise in the reconstructed image into a posterior probability density. The method was demonstrated on positron emission tomography (PET) images obtained from a phantom and a patient with lung cancer. The likelihood model (multivariate log-normal) and the convolution operator were derived from phantom data. Two examples of prior information were used to show the potential of the method. The extended Metropolis-Hastings algorithm, a Markov chain Monte Carlo method, was used to generate realizations of the posterior distribution of the tracer activity concentration. Results: A set of realizations from the posterior was used as the base of a quantitative PET image analysis. The mean and variance of activity concentrations were computed, as well as the probability of high tracer uptake and statistics on the size and activity concentration of high uptake regions. For both phantom and in vivo images, the estimated images of mean activity concentrations appeared to have reduced noise levels, and a sharper outline of high activity regions, as compared to the original PET. The estimated variance of activity concentrations was high at the edges of high activity regions. Conclusions: The methodology provides a probabilistic approach for medical image analysis that explicitly takes into account medical expert knowledge as prior information. The presented first results indicate the potential of the method to improve the detection of small lesions. The methodology allows for a probabilistic measure of the size and activity level of high uptake regions, with possible long-term perspectives for early detection of cancer, aswell as treatment, planning, and follow-up. [ABSTRACT FROM AUTHOR]

Background: Lung cancer screening (LCS) can reduce lung cancer mortality but has potential harms for patients. A shared decision-making (SDM) conversation about LCS is required by the Centers for Medicare & Medicaid Services (CMS) for LCS reimbursement. To overcome barriers to SDM in primary care, this protocol describes a telehealth decision coaching and navigation intervention for LCS in primary care clinics delivered by patient navigators. The objective of the study is to evaluate the effectiveness of the intervention and its implementation potential, compared with an enhanced usual care (EUC) arm. Methods: Patients (n = 420) of primary care clinicians (n = 120) are being recruited to a cluster randomized controlled trial. Clinicians are randomly assigned to 1) TELESCOPE intervention: prior to an upcoming non-acute clinic visit, patients participate in a telehealth decision coaching and navigation session about LCS delivered by trained patient navigators and nurse navigators place a low-dose CT scan (LDCT) order for each TELESCOPE patient wanting LCS, or 2) EUC: patients receive enhanced usual care from a clinician. Usual care is enhanced by providing clinicians in both arms with access to a Continuing Medical Education (CME) webinar about LCS and an LCS discussion guide. Patients complete surveys at baseline and 1-week after the scheduled clinic visit to assess quality of the SDM process. Re-navigation is attempted with TELESCOPE patients who have not completed the LDCT within 3 months. One month before being due for an annual screening, TELESCOPE patients whose initial LCS showed low-risk findings are randomly assigned to receive a telehealth decision coaching booster session with a navigator or no booster. Electronic health records are abstracted at 6, 12 and 18 months after the initial decision coaching session (TELESCOPE) or clinic visit (EUC) to assess initial and annual LCS uptake, imaging results, follow-up testing for abnormal findings, cancer diagnoses, treatment, and tobacco treatment referrals. This study will evaluate factors that facilitate or interfere with program implementation using mixed methods. Discussion: We will assess whether a decision coaching and patient navigation intervention can feasibly and effectively support high-quality SDM for LCS and guideline-concordant LCS uptake for patients in busy primary care practices serving diverse patient populations. Trial registration: This study was registered at ClinicalTrials.gov (NCT05491213) on August 4, 2022. Protocol version: Version 1, April 10, 2024. [ABSTRACT FROM AUTHOR]

Background: Immune checkpoint inhibitors (ICIs) have drastically shifted the current landscape toward a wide variety of malignancies. However, ICIs are interrupted owing immune‐related adverse events (irAEs), therapy completion, and disease progression. The risk–benefit of rechallenged ICIs remains inconclusive. Herein, a systematic review and meta‐analysis were conducted to evaluate the safety and efficacy of ICI rechallenge in the treatment of advanced solid tumor. Methods: PubMed, Web of Science, Embase, and Cochrane Library were searched to analyze the efficacy and safety of ICI rechallenge. The study protocol was approved by the PROSPERO International Register of Systematic Reviews (CRD42022372222). The last updated search date was March 2, 2024. Objective response rate (ORR), disease control rate (DCR), overall survival (OS), and incidence rates of all‐ and high‐grade irAEs were evaluated. Results: A total of 41 retrospective studies comprising 2343 patients were ultimately enrolled for qualitative and quantitative assessments. A total of 1200 (51.2%) individuals were male and the median age was 66 years (range 18–97 years). The majority of the tumors was lung cancer (n = 898, 38.3%). The occurrence rates of all‐grade and high‐grade (grade 3 or 4) irAEs between initial and readministration ICIs were not significantly different (all‐grade: OR, 0.75, 95% CI: 0.39–1.45, p = 0.40; I2 = 87%; high‐grade: OR, 0.96, 95% CI: 0.62–1.49, p = 0.87, I2 = 65%). ICIs restart presented a decreased ORR and DCR compared to initial ICI administration (ORR: OR, 0.36, 95% CI: 0.23–0.56, p < 0.00001; I2 = 67%; DCR: OR, 0.62, 95% CI: 0.43–0.89, p = 0.010; I2 = 53%). Seven studies with 513 patients for survival analysis revealed a nonsignificant difference in OS between the ICIs rechallenge and discontinuation cohorts (hazard ratio [HR]: 0.68, 95% confidence interval (CI): 0.35 to 1.35, p = 0.27). Conclusion: Rechallenging immunotherapy is feasible, and patients should be carefully evaluated by a multidisciplinary team prior to initial therapy for close monitoring and assessment of the risk–benefit ratio. Therefore, prospective trials are essential to guide clinicians in the decision‐making process. PROSPERORegistration: CRD42022372222. [ABSTRACT FROM AUTHOR]

Simple Summary: We discuss the role of risk-stratification and personalized treatment for various pediatric cancer patients, with the goal being to improve tumor control and decrease late effects of radiation in long-term survivors. We discuss settings in which radiation can be safely omitted or de-escalated, such as Hodgkin lymphoma, Wilms tumor with lung metastases and WNT pathway Medulloblastoma, and settings that warrant treatment escalation such as larger tumors with rhabdomyosarcoma or Ewing sarcoma, poor responders to chemotherapy and oligometastatic disease settings. We also summarize currently enrolling COG and other cooperative group trials. While the cure rate of cancer in children has markedly improved in the last few decades, late effects continue to be a problem in survivors. Radiotherapy, which is a major component of treatment in many cancers, is one of the major agents responsible for late toxicity. In the past decade, radiotherapy has been omitted in patients achieving excellent response to chemotherapy, such as in Hodgkin lymphoma and some Wilms tumors with lung metastases. Likewise, response to chemotherapy has been used to determine whether lower doses of radiation can be delivered in intracranial germinoma and pediatric nasopharyngeal carcinoma. Molecular subtyping in medulloblastoma is currently being employed, and in WNT-pathway M0 tumors, the reduction in radiotherapy dose to the craniospinal axis and tumor bed is currently being investigated. Finally, dose escalation was recently evaluated in patients with rhabdomyosarcoma > 5 cm who do not achieve a complete response to initial 9 weeks of chemotherapy as well as for unresectable Ewing sarcoma patients to improve local control. [ABSTRACT FROM AUTHOR]

Simple Summary: Following technological advancements, there has been a rise in the early detection of pulmonary nodules, with more patients found to have multiple lesions. These lesions may indicate benign or malignant stages, each requiring careful evaluation and management. Multiple treatment strategies can be followed while ensuring patient comfort and minimizing complications. Thus, our study aims to provide an example of single-stage management for multiple lung lesions, using percutaneous ablation and thoracoscopic resection in a hybrid operating room (HOR). These combined procedures in a single stage and setting allows for a minimally invasive experience for patients, with minimal complications and a shorter operation time. In addition to personalized therapy, there is more flexibility for managing complications in the HOR. Thus, these initial results indicate a feasible and safe single-stage workflow and an alternative way to manage multiple pulmonary lesions in patients. Background: Different approaches are required in treating patients with multiple pulmonary lesions. A multistage procedure may increase the risk of complications and patient discomfort. This study reports an initial experience with single-stage management of multiple lung lesions using percutaneous ablation with thoracoscopic resection in a hybrid operating room (HOR). Methods: We retrospectively evaluated patients who underwent combined ablation and resection in an HOR between May 2022 and July 2024. All patients received a single anesthesia via endotracheal tube intubation. The clinical data, operative findings, and pathological characteristics of the lung nodules were recorded. Results: A total of 22 patients were enrolled in this study. Twenty patients underwent unilateral procedures, while the other two patients underwent bilateral procedures. Ablations were performed before lung resection in 21 patients; only 1 patient underwent surgery first. The median global operating room time was 227.0 min. The median total radiation dose (dose area product) was 14,076 μGym2. The median hospital postoperative length of stay was 2 days. Conclusions: The single-stage procedure of percutaneous ablation with thoracoscopic resection under general anesthesia in an HOR is feasible and safe. This procedure is an alternative method for managing multiple pulmonary lesions. [ABSTRACT FROM AUTHOR]

Simple Summary: Pericardial disease is a common and severe complication in patients with cancer, often presenting as acute pericarditis, pericardial effusion, or constrictive pericarditis. Causes include direct tumor invasion, metastasis, and cancer treatments like chemotherapy and radiotherapy. Lung cancer is the most frequent etiology, followed by breast cancer and lymphomas. Early detection and multidisciplinary management are crucial. Acute pericarditis requires careful diagnosis and treatment with NSAIDs and colchicine. Pericardial effusion is commonly incidental but can lead to cardiac tamponade, necessitating pericardiocentesis or a pericardial window. Immunotherapy-related effusions typically respond to treatment cessation and steroids. Constrictive pericarditis, although rare, requires prompt diagnosis and may necessitate surgical intervention. Multidisciplinary care and early intervention are vital for improving patient outcomes and quality of life. Pericardial disease is increasingly recognized in cancer patients, including acute pericarditis, pericardial effusion, and constrictive pericarditis, often indicating a poor prognosis. Acute pericarditis arises from direct tumor involvement, cancer therapies, and radiotherapy. Immune checkpoint inhibitor (ICI)-related pericarditis, though rare, entails significant mortality risk. Treatment includes NSAIDs, colchicine, and corticosteroids or anti-IL1 drugs in refractory cases. Pericardial effusion is the most frequent manifestation, primarily caused by lung cancer, followed by breast cancer, lymphoma, leukemia, gastrointestinal tumors, and melanoma. Chemotherapy, immunotherapy, and radiotherapy may also cause fluid accumulation in the pericardial space. Symptomatic relief for pericardial effusion may require pericardiocentesis, prolonged catheter drainage, or a pericardial window. Instillation of intrapericardial cytostatic agents may reduce recurrence. Constrictive pericarditis, though less common, often develops from radiotherapy and requires multimodality imaging for diagnosis, with pericardiectomy as the definitive treatment. Primary pericardial tumors are rare, with metastases being more frequent. Patients with cancer and pericardial disease generally have poor survival, emphasizing the need for early detection. A multidisciplinary approach involving hematologists, oncologists, and cardiologists is crucial to tailoring pericardial disease treatment to a patient's clinical status, thereby improving the quality of life and prognosis. [ABSTRACT FROM AUTHOR]

Simple Summary: Intrapleural hyperthermic chemotherapy is a viable treatment option for malignant pleural effusion in advanced lung cancer. This study explored the effects of hyperthermic chemotherapy with cisplatin on lung cancer cells, including drug-resistant patient-derived tumor cells. By raising the temperature to 43 °C during treatment, we observed significantly enhanced antitumor efficacy and cancer cell death in both 2D and 3D cultures, as well as in a patient-derived xenograft model. The study showed that hyperthermia not only increased the efficacy of cisplatin but also promoted tumor necrosis and altered the expression of proteins associated with cancer cell survival. These findings suggest that hyperthermic chemotherapy may be a promising approach for improving treatment outcomes in patients with drug-resistant lung cancer. Background/Objectives: Malignant pleural effusion (MPE) in lung cancer indicates systemically disseminated advanced lung cancer and is associated with poor survival. Intrapleural hyperthermic chemotherapy (IPHC) is a promising treatment for MPE; however, its biological basis is not fully understood. IPHC can enhance anticancer drug efficacy, particularly in drug-resistant cancers. This study investigated the effects of hyperthermia on cisplatin cytotoxicity in lung cancer cell lines, patient-derived tumor cells, and a patient-derived xenograft (PDX) model. Methods: Lung cancer cell lines (A549 and H2170) and patient-derived tumor cells were cultured in 2D/3D systems and treated with cisplatin under varying temperatures (37 °C, 43 °C, and 45 °C) and exposure times (5, 15, and 30 min). Antiproliferative effects were evaluated using LDH and CCK-8 assays. Optimal conditions identified in cell culture experiments were validated using a PDX model; tumor growth inhibition, delay, and protein expression were analyzed post-treatment. Results: Hyperthermia significantly enhanced the antitumor efficacy of cisplatin at 43 °C and 45 °C, with comparable effects under 15 and 30 min exposure. In the PDX model, IPHC showed increased tumor inhibition and necrosis and delayed tumor regrowth, particularly at higher cisplatin doses. Protein expression analysis revealed that hyperthermia decreased EGFR expression and increased levels of apoptosis-related proteins, including cleaved PARP and caspase-3. Conclusions: IPHC with cisplatin demonstrated enhanced antitumor efficacy in vitro models, particularly in drug-resistant lung cancer, indicating its potential as a valuable adjunct to existing treatment regimens for lung cancer and for improving patient outcomes in advanced lung cancer with MPE or pleural metastasis. [ABSTRACT FROM AUTHOR]

Objectives: Symptoms and motivation may impact adherence to home-based exercise training programs (HETP) during cancer treatment (CT) for lung or head and neck cancer. This study aimed to identify self-reported symptoms and their frequency, as well as motivation towards an HETP during CT for primary lung or head and neck cancer. Associations between symptoms and motivation with HETP adherence were also investigated. Methods: Participants underwent CT combined with an HETP that included aerobic (walk-based) and resistance training (Theraband®). Weekly assessment was conducted using a questionnaire developed by the researchers, evaluating the presence of symptoms. A scale (0 to 10) was used to assess motivation towards the HETP. Adherence was defined as the ratio between HETP sessions completed vs. the number prescribed. Symptom frequency was recorded as the number of weeks a symptom was experienced. Linear regression was used to explore associations. Results: Twenty-four participants were included (61 ± 7 yr; 21 males; head and neck cancer n = 18; median treatment duration: 9 [7 to 11] weeks). The most commonly reported symptoms were fatigue (33%), malaise (24%) and dysphagia (23%). Average score for motivation to exercise was 6.4 ± 2.0. Adherence to the HETP was 47%. Malaise was associated with reduced adherence to HETP (p = 0.002), explaining 35% of the variance. Motivation was associated with increased adherence (p = 0.008), explaining 28% of the variance. Conclusions: Fatigue, malaise and dysphagia were among the most frequently reported symptoms during treatment. Malaise and self-motivation to exercise can significantly influence adherence to HETPs. Symptom and motivational support might be necessary when implementing HETPs during CT. [ABSTRACT FROM AUTHOR]