Lung Tumors Research Articles

Response to furmonertinib in a patient with non-small cell lung cancer harboring HER2 exon 21 insertion mutation: a case report

BackgroundThis is the first case report describing a patient with non-small cell lung cancer (NSCLC) harboring two rare human epidermal growth factor receptor 2 (HER2) exon 21 insertion mutations, who responded to furmonertinib treatment. Furmonertinib maybe one effective and economical treatment for NSCLC patients harboring HER2 mutations with minor side effects.Case descriptionWe present a case report of a 49-year-old female diagnosed with stage IV lung adenocarcinoma who complained of irritating dry cough symptoms followed by chest tightness. Firstly, we describe the patient’s treatment history, including failed third-line combination treatments of systemic chemotherapy with bevacizumab or carrelizumab or anlotinib, primary lung tumor recurrence, bilateral lung metastases progression, and new brain metastatic lesion detection. Next, we detail the patient’s fourth-line treatment with radiotherapy for brain metastases and two cycles of bevacizumab plus Abraxane and cisplatin, however, the disease progressed and relapsed. After that, comprehensive genomic profiling revealed two HER2 exon 21 insertion mutations. Subsequently, the patient received targeted therapy with furmonertinib and achieved 11 months of progression-free survival. The patient received pyrrotinib therapy for 2 months after disease progression, but the disease continued to progress. In October 2023, the patient received therapy with furmonertinib again, and a month later, the disease went into partial remission. However, the patient died due to hypoproteinemia combined with severe pneumonia in December 2023.ConclusionFurmonertinib may be effective for NSCLC patients with HER2 T8962A and L869R mutations and further studies are needed to confirm these results in prospective clinical trials.

Biosynthesis of pH-Responsive Mesoporous Silica Nanoparticles from Cucumber Peels for Targeting 3D Lung Tumor Spheroids.

Lung adenocarcinoma is considered to be one of the primary causes of cancer-related deaths globally. Conventional treatments, such as chemotherapy and radiation therapy taken together, have not significantly lowered mortality rates. Repositioning of authorized anticancer medications supported by nanotechnology has therefore emerged as an effective strategy to close such gaps. In this context, mesoporous silica nanoparticles (MSNs) were biosynthesized from cucumber peels and were loaded with doxorubicin, a common anticancer drug to form doxorubicin-bound mesoporous silica nanoparticles (DMSNs). The study addresses a sustainable method for turning waste materials into MSNs, which can be used to create multifunctional nanosystems. The therapeutic module (DMSNs) was designed specifically to target 2D monolayer cells and 3D tumor spheroids of lung adenocarcinoma cancer. The DMSNs demonstrated notable antiproliferative activity and effective intracellular localization in addition to being biocompatible and innately fluorescent. Subsequent investigations revealed significant antibacterial activity against Staphylococcal infection, which is primarily prevalent in lung cancer patients. Thus, the developed MSNs held promising potential for anticancer drug delivery systems and have antibacterial potential to treat bacterial infections in patients with lung cancer. Furthermore, the cucumber peel-mediated synthesis of MSNs could also aid in the management of food waste and promote the adoption of the waste-to-health paradigm for sustainable solutions.

Exploratory evidence maps for the WHO Classification of Tumours 5th edition for lung and thymus tumors.

The WHO Classification of Tumours (WCT) guides cancer diagnosis, treatment, and research. However, research evidence in pathology continuously changes, and new evidence emerges. Correct assessment of evidence in the WCT 5th edition (WCT-5) and identification of high level of evidence (LOE) studies based on study design are needed to improve future editions. We aimed at producing exploratory evidence maps for WCT-5 Thoracic Tumours, specifically lung and thymus tumors. We extracted citations from WCT-5, and imported and coded them in EPPI-Reviewer. The maps were plotted using EPPI-Mapper. Maps displayed tumor types (columns), descriptors (rows), and LOE (bubbles using a four-color code). We included 1434 studies addressing 51 lung, and 677 studies addressing 25 thymus tumor types from WCT-5 thoracic tumours volume. Overall, 87.7% (n = 1257) and 80.8% (n = 547) references were low, and 4.1% (n = 59) and 2.2% (n = 15) high LOE for lung and thymus tumors, respectively. Invasive non-mucinous adenocarcinoma of the lung (n = 215; 15.0%) and squamous cell carcinoma of the thymus (n = 93; 13.7%) presented the highest number of references. High LOE was observed for colloid adenocarcinoma of the lung (n = 11; 18.2%) and type AB thymoma (n = 4; 1.4%). Tumor descriptors with the highest number of citations were prognosis and prediction (n = 273; 19.0%) for lung, and epidemiology (n = 186; 28.0%) for thymus tumors. LOE was generally low for lung and thymus tumors. This study represents an initial step in the WCT Evidence Gap Map (WCT-EVI-MAP) project for mapping references in WCT-5 for all tumor types to inform future WCT editions.

Human adipose-derived stem cells promote migration of papillary thyroid cancer cell via leptin pathway

Introduction Obesity is associated with the incidence and poor prognosis of thyroid cancer, but the mechanism is not fully understood. The aim of this study was to investigate the effects of human adipose-derived stem cells (ADSCs) on the invasion and migration of thyroid cancer cells. Methods ADSCs-conditioned medium (ADSC-CM) was collected to culture thyroid cancer cell lines TPC-1 cells and BCPAP cells. The effects of ADSCs on thyroid cancer cell proliferation were determined by CCK8 and EdU assays, and the effects on migration were determined by Transwell and wound closure assays. Leptin neutralizing antibodies (NAB) were added to ADSC-CM to block leptin. In animal experiments, TPC-1 cells and BCPAP cells were injected into the tail vein of nude mice, and the leptin receptor antagonist peptide allo-aca was injected subcutaneously to block the leptin pathway. The number and size of metastatic lung tumours were observed after 8 weeks. Results ADSC-CM significantly promoted the invasion and migration of thyroid cancer cells and upregulated their matrix metalloproteinase 2 (MMP-2) levels, while NAB with the addition of leptin reduced the invasion and migration of thyroid cancer cells and downregulated MMP-2 levels. Allo-aca treatment reduced the number of metastatic lung nodules formed by thyroid cancer cells in nude mice and reduced the diameter of metastatic lesions. Conclusion ADSCs upregulate MMP-2 levels of thyroid cancer cells through exocrine leptin, thereby promoting cancer cell migration, which may be one of the key mechanisms by which obesity increases the invasiveness of thyroid cancer.

Drug-Free Mesoporous Silica Nanoparticles Enable Suppression of Cancer Metastasis and Confer Survival Advantages to Mice with Tumor Xenografts.

Despite advancements in nanomedicine for drug delivery, many drug-loaded nanoparticles reduce tumor sizes but often fail to prevent metastasis. Mesoporous silica nanoparticles (MSNs) have attracted attention as promising nanocarriers. Here, we demonstrated that MSN-PEG/TA 25, with proper surface modifications, exhibited unique antimetastatic properties. In vivo studies showed that overall tumor metastasis decreased in 4T1 xenografts mice treated with MSN-PEG/TA 25 with a notable reduction in lung tumor metastasis. In vitro assays, including wound-healing, Boyden chamber, tube-formation, and real-time cell analyses, showed that MSN-PEG/TA 25 could modulate cell migration of 4T1 breast cancer cells and interrupt tube formation by human umbilical vein endothelial cells (HUVECs), key factors in suppressing cancer metastasis. The synergistic effect of MSN-PEG/TA 25 combined with liposomal-encapsulated doxorubicin (Lipo-Dox) significantly boosted mouse survival rates, outperforming Lipo-Dox monotherapy. We attributed the improved survival to the antimetastatic capabilities of MSN-PEG/TA 25. Moreover, Dox-loaded MSN-PEG/TA 25 suppressed primary tumors while retaining the antimetastatic effect, thereby enhancing therapeutic outcomes and overall survival. Western blot and qPCR analyses revealed that MSN-PEG/TA 25 interfered with the phosphorylation of ERK, FAK, and paxillin, thus impacting focal adhesion turnover and inhibiting cell motility. Our findings suggest that drug-free MSN-PEG/TA 25 is highly efficient for cancer treatment via suppressing metastatic activity and angiogenesis.

LW-MorphCNN: A lightweight morphological attention-based subtype classification network for lung cancer

Abstract Lung cancer is generally considered one of the most deadly cancers globally. If it can be identified early and diagnosed correctly, the survival probability of patients can be significantly improved. In this process, histopathological examination is a commonly used method for diagnosing and detecting lung cancer. It is crucial to accurately identify lung cancer subtypes from histopathological images, as this helps doctors formulate effective treatment plans. However, the visual inspection in histopathological diagnosis requires a large amount of time and also depends on the subjective perception of clinicians. Therefore, this paper proposes a lightweight lung cancer subtype classification network based on morphological attention (LW-MorphCNN), which is used to automatically classify the histopathological images of benign lung tumors, ADC (adenocarcinoma), and SCC (squamous cell carcinoma) provided in the public dataset LC25000 (Lung and Colon). This paper takes histopathological images as input and conducts a comparative analysis with classic networks such as VGG16, VGG19, DenseNet121, and ResNet50, as well as existing classification methods proposed in the same work. The network proposed in this paper is superior to other networks in terms of parameter quantity and performance, with an accuracy rate and F1 - score reaching 99.47\% and 99.44\% respectively. Clinicians can install the provided LW-MorphCNN in the hospital to confirm the diagnosis results.

Oncogene Downregulation by Mahanine Suppresses Drug-Sensitive and Drug-Resistant Lung Cancer and Inhibits Orthotopic Tumor Progression

Background/Objectives: Lung cancer is one of the deadliest cancers, and drug resistance complicates its treatment. Mahanine (MH), an alkaloid from Murraya koenigii has been known for its anti-cancer properties. However, its effectiveness and mechanisms in treating non-small cell lung cancer (NSCLC) remain largely unexplored. The present study aimed to investigate MH’s effect on drug-sensitive and drug-resistant NSCLC and its potential mechanism of action. Methods: We isolated MH from M. koenigii leaves and the purity (99%) was confirmed by HPLC, LC-MS and NMR. The antiproliferative activity of MH was determined using MTT and colony formation assays against drug-sensitive (A549 and H1299) and Taxol-resistant lung cancer cells (A549-TR). Western blot analysis was performed to determine MH’s effects on various molecular targets. Anti-tumor activity of MH was determined against lung tumors developed in female NOD Scid mice injected with A549-Fluc bioluminescent cells (1.5 × 106) intrathoracically. Results: MH dose-dependently reduced the proliferation of all lung cancer cells (A549, H1299 and A549-TR), with IC50 values of 7.5, 5, and 10 µM, respectively. Mechanistically, MH arrested cell growth in the G0/G1 and G2/M phases of the cell cycle by inhibiting cyclin-dependent kinase 4/6 (CDK4/6) and cell division control 2 (CDC2) and induced apoptosis through the downregulation of B-cell leukemia/lymphoma 2 (BCL2) and B-cell lymphoma-extra large (BCL-XL). The apoptotic induction capacity of MH can also be attributed to its ability to inhibit pro-oncogenic markers, including mesenchymal–epithelial transition factor receptor (MET), phosphorylated protein kinase B (p-AKT), phosphorylated mammalian target of rapamycin (p-mTOR), survivin, rat sarcoma viral oncogene (RAS), myelocytomatosis oncogene (cMYC), and nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB) levels. In vivo, MH (25 mg/kg b. wt.) significantly (p < 0.001) inhibited the growth of A549 lung cancer orthotopic xenografts in NOD Scid mice by 70%. Conclusions: Our study provides new mechanistic insights into MH’s therapeutic potential against NSCLC.

Robust Real-Time Cancer Tracking via Dual-Panel X-Ray Images for Precision Radiotherapy

Respiratory-induced tumor motion presents a critical challenge in lung cancer radiotherapy, potentially impacting treatment precision and efficacy. This study introduces an innovative, deep learning-based approach for real-time, markerless lung tumor tracking utilizing orthogonal X-ray projection images. It incorporates three key components: (1) a sophisticated data augmentation technique combining a hybrid deformable model with 3D thin-plate spline transformation, (2) a state-of-the-art Transformer-based segmentation network for precise tumor boundary delineation, and (3) a CNN regression network for accurate 3D tumor position estimation. We rigorously evaluated this approach using both patient data from The Cancer Imaging Archive and dynamic thorax phantom data, assessing performance across various noise levels and comparing it with current leading algorithms. For TCIA patient data, the average DSC and HD95 values were 0.9789 and 1.8423 mm, respectively, with an average centroid localization deviation of 0.5441 mm. On CIRS phantoms, DSCs were 0.9671 (large tumor) and 0.9438 (small tumor) with corresponding HD95 values of 1.8178 mm and 1.9679 mm. The 3D centroid localization accuracy was consistently below 0.33 mm. The processing time averaged 90 ms/frame. Even under high noise conditions (S2 = 25), errors for all data remained within 1 mm with tracking success rates mostly at 100%. In conclusion, the proposed markerless tracking method demonstrates superior accuracy, noise robustness, and real-time performance for lung tumor localization during radiotherapy. Its potential to enhance treatment precision, especially for small tumors, represents a significant step toward improving radiotherapy efficacy and personalizing cancer treatment.

Retraction Note: Volumetric analysis framework for accurate segmentation and classification (VAF-ASC) of lung tumor from CT images

Retraction Note: Volumetric analysis framework for accurate segmentation and classification (VAF-ASC) of lung tumor from CT images

Vogt‐Koyanagi‐Harada disease‐like uveitis induced by nivolumab in metastatic renal cell carcinoma

IntroductionNivolumab can cause various immune‐related adverse events; it rarely induces Vogt‐Koyanagi‐Harada‐disease‐like uveitis. Vogt‐Koyanagi‐Harada‐disease is reported to be closely associated with human leukocyte antigen‐DR4.Case presentationA 68‐year‐old man with metastatic renal cancer underwent nephrectomy. Computed tomography showed multiple lung tumors, raising suspicion of lung metastases. However, one lung hilar mass was suspected to be primary lung cancer, leading to a lobectomy, which subsequently revealed lung metastases of renal cancer. The patient underwent nivolumab treatment but developed Vogt‐Koyanagi‐Harada‐disease‐like uveitis as an immune‐related adverse event. Human leukocyte antigen‐DR4 alleles were identified, and the uveitis improved with topical steroids. He maintained partial response of lung metastases after nivolumab resumption. Immunohistochemical staining revealed significantly higher human leukocyte antigen‐DR4 expression in lung metastasis than primary renal cancer.ConclusionDespite inducing Vogt‐Koyanagi‐Harada‐disease‐like uveitis, nivolumab controlled cancer progression effectively. Immunohistochemical staining results suggest the potential involvement of human leukocyte antigen‐DR4 expression in both the onset of Vogt‐Koyanagi‐Harada‐disease‐like uveitis and nivolumab efficacy.

Species Diversity and Network Diversity in the Human Lung Cancer Tissue Microbiomes.

This study explores the relationship between microbial diversity and disease status in human lung cancer tissue microbiomes, using a sample size of 1,212. Analysis divided the data into primary tumor (PT) and normal tissue (NT) categories. Differences in microbial diversity between PT and NT were significant in 57% of comparisons, although dataset dependence was a factor in the diversity levels. Shared species analysis (SSA) indicated no significant differences between PT and NT in over 90% of comparisons. Network diversity assessments revealed significant differences between NT and PT regarding species relative abundances and network link abundances for q=0-3. Additionally, at q=0, significant variations were found between NT and LUSC in network link probabilities, illustrating the diversity in species interactions. Our findings suggest a stable overall microbiome diversity and composition in lung cancer patients' lung tissues despite patients with diagnosed lung tumors, indicating modified microbial interactions within the tumor. These results highlight an association between altered microbiome interaction patterns and lung tumors, offering new insights into the ecological dynamics of lung cancer microbiomes.

A Novel Lipid Nanoparticle NBF-006 Encapsulating Glutathione S-Transferase P siRNA for the Treatment of KRAS-driven Non-small Cell Lung Cancer.

Non-small cell lung cancer (NSCLC) accounts for approximately 85% of lung cancers, and KRAS mutations occur in 25-30% of NSCLC. Our approach to developing a therapeutic with the potential to target KRAS mutant NSCLC was to identify a new target involved in modulating signaling proteins in the RAS pathway. Glutathione S-Transferase P (GSTP) known as a Phase II detoxification enzyme has more recently been identified as a modulator of MAP kinase-related cell-signaling pathways. Therefore, developing a GSTP siRNA may be an effective therapeutic approach to treat KRAS mutant NSCLC. The lead drug product candidate (NBF-006) is a proprietary siRNA-based lipid nanoparticle (LNP) comprising GSTP siRNA (NDT-05-1040). Here, studies using a panel of KRAS mutant NSCLC cell lines demonstrated that NDT-05-1040 is a very potent and selective GSTP siRNA inhibitor. Our Western blot analysis showed that NDT-05-1040 effectively decreased the phosphorylation of MAPK and PI3K pathway components while upregulating apoptotic signaling cascade. Our in vivo studies revealed statistically significant higher distribution of NBF-006 to the lungs and tumor as compared to liver. In the subcutaneous and orthotopic tumor models, NBF-006 led to a statistically significant and dose dependent anti-tumor growth inhibition. Further, quantitative image analysis of PCNA and PARP staining showed that NBF-006 decreased proliferation and induced apoptosis, respectively, in tumors. Additionally, in a surgically implanted orthotopic lung tumor model, the survival rate of the NBF-006 treatment group was significantly prolonged (P <0.005) as compared to the vehicle control group. Together, these preclinical studies supported advancement of NBF-006 into clinical studies.

P1.03G.01 Lurbinectedin Synergizes with Selinexor by Inhibiting DNA Damage Repair and Enhancing Immune Cell Infiltration in Neuroendocrine Lung Tumors

P1.03G.01 Lurbinectedin Synergizes with Selinexor by Inhibiting DNA Damage Repair and Enhancing Immune Cell Infiltration in Neuroendocrine Lung Tumors

Searching Method for Three-Dimensional Puncture Route to Support Computed Tomography-Guided Percutaneous Puncture.

In CT-guided percutaneous punctures-an image-guided puncture method using CT images-physicians treat targets such as lung tumors, liver tumors, renal tumors, and intervertebral abscesses by inserting a puncture needle into the body from the exterior while viewing images. By recognizing two-dimensional CT images prior to a procedure, a physician determines the least invasive puncture route for the patient. Therefore, the candidate puncture route is limited to a two-dimensional region along the cross section of the human body. In this paper, we aim to construct a three-dimensional puncture space based on multiple two-dimensional CT images to search for a safer and shorter puncture route for a given patient. If all puncture routes starting from a target in the three-dimensional space were examined from all directions (the brute-force method), the processing time to derive the puncture route would be very long. We propose a more efficient method for three-dimensional puncture route selection in CT-guided percutaneous punctures. The proposed method extends the ray-tracing method, which quickly derives a line segment from a given start point to an end point on a two-dimensional plane, and applies it to three-dimensional space. During actual puncture route selection, a physician can use CT images to derive a three-dimensional puncture route that is safe for the patient and minimizes the puncture time. The main novelty is that we propose a method for deriving a three-dimensional puncture route within the allowed time in an actual puncture. The main goal is for physicians to select the puncture route they will use in the actual surgery from among the multiple three-dimensional puncture route candidates derived using the proposed method. The proposed method derives a three-dimensional puncture route within the allowed time in an actual puncture. Physicians can use the proposed method to derive a new puncture route, reducing the burden on patients and improving physician skills. In the evaluation results of a computer simulation, for a 3D CT image created by combining 170 two-dimensional CT images, the processing time for deriving the puncture route using the proposed method was approximately 59.4 s. The shortest length of the puncture route from the starting point to the target was between 20 mm and 22 mm. The search time for a three-dimensional human body consisting of 15 CT images was 4.77 s for the proposed method and 2599.0 s for a brute-force method. In a questionnaire, physicians who actually perform puncture treatments evaluated the candidate puncture routes derived by the proposed method. We confirmed that physicians could actually use these candidates as a puncture route.

Targeted nanoliposomes of oncogenic protein degraders: Significant inhibition of tumor in lung-cancer bearing mice

With 60 % of non-small cell lung cancer (NSCLC) expressing epidermal growth factor receptor (EGFR), it has been explored as an important therapeutic target for lung tumors. However, even the well-established EGFR inhibitors tend to promptly develop resistance over time. Moreover, strategies that could impede resistance development and be advantageous for both EGFR-Tyrosine kinase inhibitor (TKI)-sensitive and mutant NSCLC patients are constrained. Based on the critical relationship between EGFR, c-MYC, and Kirsten rat sarcoma virus (K-Ras), simultaneous degradation of EGFR and Bromodomain-containing protein 4 (BRD4) using “Proteolysis Targeting Chimeras (PROTACs)” could be a promising approach. PROTACs are emerging class of oncoprotein degraders but very challanging to deliver in vivo. Compared to individual IC50s, strong synergism was observed at 1:1 ratio of BPRO and EPRO in NSCLC cell lines with diverse mutation. Significant inhibition of cell growth with higher cellular apoptosis was observed in 2D and 3D-based cell assays in nanomolar concentrations. EGFR activation assay revealed 47.60 % EGFR non-expressing cells confirming EGFR-degrading potential of EPRO. A lung cancer specific nanoliposomal formulation of EGFR and BRD4-degrading PROTACs (EPRO and BPRO) was prepared and characetrized. Successful encapsulation of the two highly lipophilic molecules was achieved in EGFR-targeting nanoliposomal carriers (T-BEPRO) using a modified hydration technique. T-BEPRO revealed a particle size of 109.22 ± 0.266 nm with enhanced cellular uptake and activity. Remarkably, parenterally delivered T-BEPRO in tumor-bearing mice showed a substantially higher % tumor growth inhibition (TGI) of 77.6 % with long-lasting tumor inhibitory potential as opposed to individual drugs.

Non-emergent hemoptysis in patients with primary or metastatic lung tumors: The role of transarterial embolization

PurposeTo evaluate the role of systemic arterial embolization for the management of non-emergent hemoptysis in patients with primary or metastatic lung tumors. Materials and methodsThis is a retrospective single center study of consecutive patients who underwent systemic arterial embolization for non-emergent hemoptysis between 2011 and 2023. Study endpoints included technical success, clinical success (partial or complete resolution of hemoptysis) and overall survival. Hemoptysis-free and overall survival were estimated using the Kaplan-Meier method. Predictive factors for hemoptysis-free survival and overall survival were evaluated using univariate analysis (Cox regression). Post-procedural 30-day adverse events were recorded in line with Common Terminology Criteria for Adverse Events (CTCAE) v5.0. ResultsA total of 30 patients were identified. Technical success was achieved in 24/30 (80 %) patients. Clinical success following embolization was achieved in 23/30 (76.7 %) patients. Median length of hospitalization was 5 days (Range: 1 to 16 days). Median overall survival was 194 days (95 % CI: 89 to 258). Median hemoptysis-free survival was 286 days (95 % CI: 42 to not reached). No significant clinical or procedural predictors of hemoptysis-free survival or overall survival were identified. Serious adverse events (CTCAE Grade > 3) occurred in 1 patient (3.4 % − fatal respiratory failure). ConclusionEmbolization of non-emergent hemoptysis in patients with lung malignancies is safe and effective. Recurrence is however high in this patient population, likely due to the nature of the underlying disease.

The Formation of Stable Lung Tumor Spheroids during Random Positioning Involves Increased Estrogen Sensitivity.

The formation of tumor spheroids on the random positioning machine (RPM) is a complex and important process, as it enables the study of metastasis ex vivo. However, this process is not yet understood in detail. In this study, we compared the RPM-induced spheroid formation of two cell types of lung carcinoma (NCI-H1703 squamous cell carcinoma cells and Calu-3 adenocarcinoma cells). While NCI-H1703 cells were mainly present as spheroids after 3 days of random positioning, Calu-3 cells remained predominantly as a cell layer. We found that two-dimensional-growing Calu-3 cells have less mucin-1, further downregulate their expression on the RPM and therefore exhibit a higher adhesiveness. In addition, we observed that Calu-3 cells can form spheroids, but they are unstable due to an imbalanced ratio of adhesion proteins (β1-integrin, E-cadherin) and anti-adhesion proteins (mucin-1) and are likely to disintegrate in the shear environment of the RPM. RPM-exposed Calu-3 cells showed a strongly upregulated expression of the estrogen receptor alpha gene ESR1. In the presence of 17β-estradiol or phenol red, more stable Calu-3 spheroids were formed, which was presumably related to an increased amount of E-cadherin in the cell aggregates. Thus, RPM-induced tumor spheroid formation depends not solely on cell-type-specific properties but also on the complex interplay between the mechanical influences of the RPM and, to some extent, the chemical composition of the medium used during the experiments.

Pulmonary hyalinizing granuloma: literature review and case presentation

Pulmonary hyalinizing granuloma (PHG) is an extremely rare condition. Only 170-200 cases have been described until now all over the world. There have been no reports in the Russian medical literature. Etiology of the disease is unknown. The X-ray picture is very unspecific. Tumors of lungs and pleura and infectious diseases are included in the differential line. Patients with pulmonary hyalinizing granuloma have long stabile progression of the disease, and the treatment with glucocorticoids can lead to the long lasting remission.The aim of the review was to inform pulmonologists, general practitioners, infectious disease specialists, thoracic surgeons, and oncologists about the existence of pulmonary hyalinizing granuloma, its diagnosis, clinical course, and treatment. Also we present one clinical case of patient with pulmonary hyalinizing granuloma.Conclusion. Because of very low incidence of PHG, an internist or a pulmonologist can never encounter it in their professional life. However it is worth keeping this condition in mind and including it into the diagnostic process when focal and focused shadows are identified in the lungs during chest X-ray. Probably, the disease is caused by different immune-mediatory processes, but the exact pathogenesis is still unknown. Biopsy of the lung tissue by means of lung resection is crucial for the morphological verification of the diagnosis. The prognosis of the disease is favorable. The timely initiation of treatment can sufficiently prolong the remission.

Fibroblast Growth Factor Receptor 1-Specific Dehydrogelation to Release Its Inhibitor for Enhanced Lung Tumor Therapy.

Fibroblast growth factor receptor 1 (FGFR1) is emerging as a promising molecular target of lung cancer, and various FGFR1 inhibitors have exhibited significant therapeutic effects on lung cancer in preclinical research. Due to their low targeting ability or bioavailability, direct administration of these inhibitors may cause side effects. Herein, a hydrogelator, Nap-Phe-Phe-Phe-Glu-Thr-Glu-Leu-Tyr-OH (Nap-Y), was rationally designed to coassemble with an FGFR1 inhibitor nintedanib (Nin) to form a peptide hydrogel Gel Y/Nin for localized administration and FGFR1-triggered release of Nin. Upon specific phosphorylation by FGFR1 overexpressed on lung cancer cells, Nap-Y in Gel Y/Nin is converted to the hydrophilic product Nap-Phe-Phe-Phe-Glu-Thr-Glu-Leu-Tyr(H2PO3)-OH (Nap-Yp), leading to dehydrogelation of the gel and subsequent Nin release. In vitro experiments demonstrate that the release of Nin in a sustained manner from Gel Y/Nin significantly suppresses the survival, migration, and invasion of A549 cells by inhibiting FGFR1 expression and its phosphorylation function on downstream signaling molecules. Nude mouse studies show that Gel Y/Nin exhibits enhanced therapeutic efficacy on lung tumor than free Nin. We anticipate that Gel Y/Nin will be utilized for lung cancer treatment in clinical settings in the near future.

Advanced artificial intelligence framework for T classification of TNM lung cancer in 18FDG-PET/CT imaging

The integration of artificial intelligence (AI) into lung cancer management offers immense potential to revolutionize diagnostic and treatment strategies. The aim is to develop a resilient AI framework capable of two critical tasks: firstly, achieving accurate and automated segmentation of lung tumors and secondly, facilitating the T classification of lung cancer according to the ninth edition of TNM staging 2024 based on PET/CT imaging. This study presents a robust AI framework for the automated segmentation of lung tumors and T classification of lung cancer using PET/CT imaging. The database includes axial DICOM CT and18FDG-PET/CT images. A modified ResNet-50 model was employed for segmentation, achieving high precision and specificity. Reconstructed 3D models of segmented slices enhance tumor boundary visualization, which is essential for treatment planning. The Pulmonary Toolkit facilitated lobe segmentation, providing critical diagnostic insights. Additionally, the segmented images were used as input for the T classification using a CNN ResNet-50 model. Our classification model demonstrated excellent performance, particularly for T1a, T2a, T2b, T3 and T4 tumors, with high precision, F1 scores, and specificity. The T stage is particularly relevant in lung cancer as it determines treatment approaches (surgery, chemotherapy and radiation therapy or supportive care) and prognosis assessment. In fact, for Tis-T2, each increase of one centimeter in tumor size results in a worse prognosis. For locally advanced tumors (T3-T4) and regardless of size, the prognosis is poorer. This AI framework marks a significant advancement in the automation of lung cancer diagnosis and staging, promising improved patient outcomes.