Enhanced capture system for mesenchymal­type circulating tumor cells using a polymeric microfluidic device 'CTC­Chip' incorporating cell­surface vimentin.

CellSearch, the only approved epithelial cell adhesion molecule (EpCAM)­dependent capture system approved for clinical use, overlooks circulating tumor cells (CTCs) undergoing epithelial­mesenchymal transition (EMT­CTCs), which is considered a crucial subtype responsible for metastasis. To address this limitation, a novel polymeric microfluidic device 'CTC­chip' designed for the easy introduction of any antibody was developed, enabling EpCAM­independent capture. In this study, antibodies against EpCAM and cell surface vimentin (CSV), identified as cancer­specific EMT markers, were conjugated onto the chip (EpCAM­chip and CSV­chip, respectively), and the capture efficiency was examined using lung cancer (PC9, H441 and A549) and colon cancer (DLD1) cell lines, classified into three types based on EMT markers: Epithelial (PC9), intermediate (H441 and DLD1) and mesenchymal (A549). PC9, H441 and DLD1 cells were effectively captured using the EpCAM­chip (average capture efficiencies: 99.4, 88.8 and 90.8%, respectively) when spiked into blood. However, A549 cells were scarcely captured (13.4%), indicating that EpCAM­dependent capture is not suitable for mesenchymal­type cells. The expression of CSV tended to be higher in cells exhibiting mesenchymal properties and A549 cells were effectively captured with the CSV­chip (72.4 and 88.4% at concentrations of 10 and 100 µg/ml, respectively) when spiked into PBS. When spiked into blood, the average capture efficiencies were 27.7 and 46.8% at concentrations of 10 and 100 µg/ml, respectively. These results suggest that the CSV­chip is useful for detecting mesenchymal­type cells and has potential applications in capturing EMT­CTCs.

5-Hydroxymethylated Biomarkers in Cell-Free DNA Predict Occult Colorectal Cancer up to 36 Months Before Diagnosis in the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial.

PURPOSE: Using the prostate, lung, colorectal, and ovarian (PLCO) Cancer Screening Trial samples, we identified cell-free DNA (cfDNA) candidate biomarkers bearing the epigenetic mark 5-hydroxymethylcytosine (5hmC) that detected occult colorectal cancer (CRC) up to 36 months before clinical diagnosis. MATERIALS AND METHODS: We performed the 5hmC-seal assay and sequencing on ≤8 ng cfDNA extracted from PLCO study participant plasma samples, including n = 201 cases (diagnosed with CRC within 36 months of blood collection) and n = 401 controls (no cancer diagnosis on follow-up). We conducted association studies and machine learning modeling to analyze the genome-wide 5hmC profiles within training and validation groups that were randomly selected at a 2:1 ratio. RESULTS: We successfully obtained 5hmC profiles from these decades-old samples. A weighted Cox model of 32 5hmC-modified gene bodies showed a predictive detection value for CRC as early as 36 months before overt tumor diagnosis (training set AUC, 77.1% [95% CI, 72.2 to 81.9] and validation set AUC, 72.8% [95% CI, 65.8 to 79.7]). Notably, the 5hmC-based predictive model showed comparable performance regardless of sex and race/ethnicity, and significantly outperformed risk factors such as age and obesity (assessed as BMI). Finally, when splitting cases at median weighted prediction scores, Kaplan-Meier analyses showed significant risk stratification for CRC occurrence in both the training set (hazard ratio, [HR], 3.3 [95% CI, 2.6 to 5.8]) and validation set (HR, 3.1 [95% CI, 1.8 to 5.8]). CONCLUSION: Candidate 5hmC biomarkers and a scoring algorithm have the potential to predict CRC occurrence despite the absence of clinical symptoms and effective predictors. Developing a minimally invasive clinical assay that detects 5hmC-modified biomarkers holds promise for improving early CRC detection and ultimately patient outcomes.

The Clinical Values of Circulating Tumor Cells and T Lymphocyte Subsets in Predicting a Prognosis of Lung Cancer.

BACKGROUND: Lung cancer is the most lethal cancer in men and women. Recently, it has been reported that circu-lating tumor cells (CTCs) are sensitive and reliable biomarkers for tracing relapse and metastasis of cancer patients. Many studies also showed that immune cellular dysfunctions in lung cancer patients are major reasons for cancer development. In this study, we explored the clinical significance of CTCs and T lymphocyte subtypes in lung cancer patients. METHODS: A total of 92 patients with diagnosed lung cancer, including 23 squamous-cell carcinoma and 69 adenocarcinoma, were enrolled in this study. Another 10 patients with non-carcinoma nodules in their lungs were also recruited as a control group. Peripheral blood samples were drawn from the patients with lung cancer and from the control cases before the treatment. The identification of CTCs was carried out by a PatrolCTC detection method. The T lymphocyte subtypes were characterized by flow cytometry (FACS). Cytokines interleukin-2 (IL-2), interleukin-4 (IL-4), interleukin-17A (IL-17A), interleukin-10 (IL-10), and interferon  (IFN-) were detected by meso scale discovery (MSD) assay. RESULTS: Out of the enrolled patients, 69 (75%) patients with non-small cell lung cancer (NSCLC) were male and 23 (25 %) were female. Smoking and non-smoking history was 50% (46 cases) each. The case numbers for I - IV tumor-node-metastasis (TNM) stages were 23 (25.0%), 28 (30.4%), 16 (17.4%), and 25 (27.2%), respectively. The positive rates of the CTCs before treatment were 8.7% (2/23), 17.6% (5/28), 81.3% (13/16), and 100% (25/25) in stage I, II, III, and IV patients, respectively. Total CTCs, mixed CTCs, and mesenchymal CTCs (MCTCs) were strongly related to the progression-free survival (PFS) of the patients. In addition, total CTCs (≥ 6) and positive MCTCs also significantly correlated with recurrence and metastasis. The patients with high CTCs also had low levels of CD4, CD4/CD8 ratio, IL-2, and IFN. In contrast, IL-10 in high CTCs patients was significant elevated. These results indicate that the CTC numbers in lung cancer patients are an independent indicator for a worse PFS. CONCLUSIONS: Higher total CTCs, mixed CTCs, and MCTCs in peripheral blood were significant biomarkers for predicting the prognosis of lung cancer patients. High CTCs also had a strong correlation with weak cellular immunity functions.

Investigation of Clinical Value of NKT-like Cells in Tumor Diseases.

BACKGROUND: The goal is to study the changes of natural killer T-like (NKT-like) cells with age and explore the value of NKT-like cell changes in the evaluation of immune function and prognosis of tumor patients. METHODS: From January 2021 to December 2021, 19 patients with lung cancer, 37 patients with lymphoma, 16 patients with multiple myeloma (MM), 13 patients with acute lymphoblastic leukemia (ALL), 70 patients with acute myeloid leukemia (AML) treated in the Affiliated Hospital of Chengde Medical College and 141 healthy volunteers included in the healthy control group were recruited to study the change trend of NKT-like cells with age and changes in different tumor patients. RESULTS: With the increase of age, NKT-like cells in peripheral blood increased gradually in healthy people, mainly composed of CD8+NKT-like cells and CD8-CD4-NKT-like cells. The proportion of NKT-like cells in the lymphoma group and AML group was significantly higher than that in the control group (p < 0.05). The proportion of CD8+NKT-like cells decreased in the Lymphoma, AML, ALL, and lung cancer groups (p < 0.05), there was no statistical significance between MM group and control group (p > 0.05). CONCLUSIONS: With the increase of age, NKT-like cells in peripheral blood gradually increased in healthy people and were mainly composed of CD8+NKT-like cells and CD8-CD4-NKT-like cells. The increase of CD8+NKT-like cells in peripheral blood has important reference value for the evaluation of immune function and prognosis of patients with lymphoma, AML, ALL, and lung cancer and provides direction for immunotherapy.

Plasma EGFR mutation ctDNA dynamics in patients with advanced EGFR-mutated NSCLC treated with Icotinib: phase 2 multicenter trial result.

Plasma epidermal growth factor receptor mutation (EGFRm) circulating tumor DNA (ctDNA) dynamics exhibit promise in predicting outcomes in patients with EGFRm-advanced non-small cell lung cancer (NSCLC). However, there remains limited trial-level data on integrating ctDNA monitoring into clinical practice. We performed a prospective, multicenter trial to investigate the relationship between EGFRm ctDNA dynamic changes and clinical outcomes in NSCLC patients with EGFRm. Ninety-eight treatment-naive EGFRm-advanced NSCLC patients were recruited and administered icotinib until disease progression. Plasma samples were collected at baseline and four weeks after icotinib administration. ctDNA was analyzed using a droplet-digital polymerase chain reaction. At baseline, 71.4% of patients had detectable EGFRm ctDNA. Among them, 45.9% of patients' ctDNA became undetectable within four weeks of treatment. These patients demonstrated significantly longer progression-free survival (PFS) and overall survival (OS) than those with detectable ctDNA after treatment (P = 0.004 and < 0.001, respectively) and were comparable to those with undetectable ctDNA at both baseline and four weeks. ctDNA detectable at four weeks emerged as a poor independent risk factor for PFS and OS. Patients whose ctDNA became undetectable after treatment had outcomes similar to those with initially undetectable ctDNA, underscoring the predictive value of ctDNA dynamics in treatment efficacy.Registry and the Registration No. of the study/trial: ChiCTR-DDD-17013131. Date of registration: 2017-10-27.

Evaluation of the role of EGFR exon 19 747-750 deletion mutation and plasma amino acid profile in the development of lung cancer.

BACKGROUND: Lung cancer (LC) is the most common form of cancer in the world. Of the proteins involved in cell differentiation and proliferation, the epidermal growth factor receptor (EGFR) is among the most significant. Amino acids play a crucial role in cell physiology as metabolic regulators. The benefits of liquid biopsies are their non-invasive nature, ease of collection, and ability to depict the entire tumor's status. The present study is designed to detect the relation between the EGFR exon 19 747-750 deletion mutation and lung cancer and investigate the patterns of alterations of plasma-free amino acids (PFAA) in lung cancer patients of different histopathological types and stages as biomarkers for early detection of lung cancer. METHODS: The study sample comprised 60 lung cancer patients and 60 age- and sex-matched healthy individuals as the control group. Polymerase chain reaction and restriction fragment length polymorphism (PCR-RFLP) were used to examine the EGFR exon 19 747-750 deletion mutation, and an AA analyzer was used to quantify the plasma free amino acid (PFAA) profile. RESULTS: Compared with controls, LC patients had significantly higher levels of three AAs and significantly lower levels of fifteen AAs. Thirteen AAs varied significantly between stages I and II. In the lung cancer group, the percentage of cases of mutant EGFR exon-19 deletion increased to 30% from 13.3% in the control group. The histological forms of lung cancer did not significantly differ in this rise. Valine and citrulline plasma levels were substantially greater in the mutant than in the wild-type. Lysine, histidine, and methionine were the independent predictors of the LC group in multivariate analysis. CONCLUSION: Lung cancer development is influenced by the EGFR exon 19 747-750 deletion mutation, and the prognosis and early prediction of lung cancer are greatly affected by the amino acid profile concentrations.

Biomarker trajectory for earlier detection of lung cancer.

BACKGROUND: To determine whether an algorithm based on repeated measurements of a panel of four circulating protein biomarkers (4 MP) for lung cancer risk assessment results in improved performance over a single time measurement. METHODS: We conducted data analysis of the 4 MP consisting of the precursor form of surfactant protein B, cancer antigen 125, carcinoembryonic antigen, and cytokeratin-19 fragment in pre-diagnostic sera from 2483 ever-smoker participants (389 cases and 2094 randomly selected non-cases) in the Prostate, Lung, Colorectal, Ovarian (PLCO) Study who had at least two sequential blood collections over 6 years. A parametric empirical Bayes (PEB) algorithm, which incorporates participant biomarker history at each time point, was compared to a single-threshold (ST) method. FINDINGS: Among ever-smoker participants, the PEB approach yielded an additional 4% improvement in the AUC compared to the ST approach (P-value: 0.009). When considering an ≥10 PY smoking history and at a fixing the specificity corresponding to 1% 6-year lung cancer risk, PEB resulted in significant improvement in the sensitivity (SenPEB:96.3% vs SenST:91.0%; P-value: 6.7e-3). The PEB algorithm identified 17 of the 35 cases that remained ST negative, at an average of 1.26 years before diagnosis. Ten case individuals who were positive based on ST at an average of 1.03 years prior to diagnosis were identified earlier by PEB, at an average of 2.70 years. INTERPRETATION: An algorithm based on repeated measurements of the 4 MP improves sensitivity and results in an earlier detection of lung cancer compared to a single-threshold method. FUNDING: This study was supported by NIH Grant Nos. U01CA271888, U01CA194733, U01CA213285, NCI EDRN U01 CA200468, P30CA016672, and U24CA086368; the Cancer Prevention & Research Institute of Texas RP180505 and RP160693; the SPORE P50CA140388; the CCTS TR000371; and the generous philanthropic contributions to The University of Texas MD Anderson Cancer Center Moon Shots Program and the Lyda Hill Foundation.

A pilot study of precision treatment for patients with lung cancer pain by Longteng Tongluo recipe using serum genomics.

OBJECTIVE: To investigate the efficacy of Longteng Tongluo recipe (, LTTL) combined with three-step analgesia for the treatment of lung cancer pain, and the changes in serum miRNA expressions before- and after treatment with LTTL and its correlation with lung cancer pain. The possible mechanism underlying LTTL effects on the treatment of lung cancer pain was conducted. METHODS: The pilot study was conducted at the oncology ward of the Yueyang Hospital and the Longhua Hospital between March 2018 and October 2019. A prospective, single-blind, placebo controlled, randomized clinical trial of LTTL or placebo combined with three-step analgesia treatments were administered to 24 cancer pain patients diagnosed with lung cancer. Analgesic efficacy was investigated as the primary outcome. Equivalent morphine consumption and numerical rating scale (NRS) scores were used as the secondary outcome. In the present study, we utilized deep sequencing techniques to compare the differential miRNA expressions in serum samples obtained from two groups: the lung cancer pain treatment group (LTTL + three-step analgesia) and the control group (placebo + three-step analgesia). Next, we employed the target prediction database to investigate the target genes for differential miRNA expressions and Gene Ontology (GO) analysis along with Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis to examine the roles and the major biochemical and signaling pathways related to the differentially expressed target genes, respectively. RESULTS: LTTL treatment significantly reduces the NRS score (P = 0.021) as compared to those before treatment, along with significant reductions in the total morphine equivalent consumption (P = 0.007) and the average daily equivalent morphine consumption (P = 0.003) as opposed to the control group. The expressions of 31 miRNAs differed considerably between the two groups of patients (≥ 2 times up-modulated or down-regulated between these groups, P<0.05). For instance, the miRNAs expression levels for patients before treatment (has-miR-2110 and has-miR-7d-3p) were significantly enhanced as compared to the healthy people, after LTTL treatment, the expressions of miR-2110 and miR-7d-3p in patients with lung cancer pain reduced significantly. Studies show that the above two miRNAs were significantly associated with lung cancer pain, which could mediate lung cancer pain. Furthermore, we identified 355 genes as potential targets of the 31 differentially expressed miRNAs. Pathway enrichment analyses using KEGG and GO analysis indicated that these target genes may play a crucial role in the development and modulation of lung cancer pain. CONCLUSION: LTTL demonstrated a discernible impact on alleviating lung cancer pain and its mechanism of action may be related to the downregulation of has-miR-2110 and has-miR-7d-3p expressions. This pilot study provides support for further exploration of LTTL in patients with lung cancer pain.

Interpretable Machine Learning-Aided Optical Deciphering of Serum Exosomes for Early Detection, Staging, and Subtyping of Lung Cancer.

Lung cancer (LC) is the leading cause of cancer-related mortality worldwide, underscoring an urgent need for strategies that enable early detection and phenotypic classification. Here, we conducted a label-free surface-enhanced Raman spectroscopic (SERS) analysis of serum exosomes from 643 participants to elucidate the biochemical deregulation associated with LC progression and the unique phenotypes of different LC subtypes. Iodide-modified silver nanofilms were prepared to rapidly acquire SERS spectra with a high signal-to-noise ratio using 0.5 µL of patient exosomes. We performed interpretable and automated machine learning (ML) analysis of differential SERS features of serum exosomes to build LC diagnostic models, which achieved accuracies of 100% and 81% for stage I lung adenocarcinoma and its preneoplasia, respectively. In addition, the ML-derived exosomal SERS models effectively recognized different LC subtypes and disease stages to guide precision treatment. Our findings demonstrate that spectral fingerprinting of circulating exosomes holds promise for decoding the clinical status of LC, thus aiding in improving the clinical management of patients.

Role and clinical value of serum hsa_tsr011468 in lung adenocarcinoma.

Transfer RNA­derived small RNAs (tsRNAs) are novel non­coding RNAs that are associated with the pathogenesis of various diseases. However, their association with lung adenocarcinoma (LUAD) has not been studied comprehensively. Therefore, the present study aimed to explore the diagnostic value of a tsRNA, hsa_tsr011468, in LUAD. The OncotRF database was used to screen tsRNAs and reverse transcription­quantitative PCR (RT­qPCR) was performed to detect the expression levels of hsa_tsr011468 in various samples. Subsequently, the diagnostic and prognostic values of hsa_tsr011468 for LUAD were determined via receiver operating characteristic (ROC) curve and survival curve analyses, and by assessing clinicopathological parameters. In addition, both nuclear and cytoplasmic RNA were extracted to assess the location of hsa_tsr011468. The OncotRF database identified high expression of hsa_tsr011468 in LUAD. In addition, the results of RT­qPCR showed that the relative expression levels of hsa_tsr011468 in the serum and tissues of patients with LUAD were higher than those in normal controls. Furthermore, its expression was lower in postoperative serum samples than in preoperative serum samples from patients with LUAD. ROC and survival curves indicated that hsa_tsr011468 had good diagnostic and prognostic value. Furthermore, the clinicopathological analysis revealed that hsa_tsr011468 was associated with tumor size. In addition, hsa_tsr011468 was mainly localized in the cytoplasm of LUAD cells. The present study indicated that hsa_tsr011468 has good diagnostic value and, therefore, could be employed as a serum marker for LUAD.

Analytical and clinical validation of a NGS panel in detecting targetable variants from ctDNA of metastatic NSCLC patients.

BACKGROUND: Circulating tumor DNA (ctDNA) has emerged as a promising biomarker for noninvasive cancer diagnostics, particularly in the context of metastatic non-small-cell lung cancer (NSCLC). Detecting targetable variants through ctDNA analysis offers the potential to guide treatment decisions, especially in cases where tissue samples are insufficient or unavailable. METHOD: In this study, we developed and validated a next-generation sequencing panel targeting 101 cancer-related genes (101-test) to detect somatic variants in ctDNA from a large cohort of Chinese patients with metastatic NSCLC. The performance of the 101-test was assessed by evaluating its limit of detection (LOD), accuracy, and precision in identifying molecular variants. Additionally, the concordance between ctDNA and tissue samples for detecting targetable variants was analyzed in 904 patients. RESULTS: The 101-test demonstrated a LOD of 0.38% for single-nucleotide variants (SNVs), 0.33% for insertions and deletions (InDels), and 0.33% for fusions. Sensitivity was 98.3% for SNVs, 100% for InDels, and 100% for fusions when compared to digital droplet PCR (ddPCR)/breakpoint PCR reference methods. The by-variant sensitivity for somatic variants was 97.5%, with a specificity of 99.9% between tumor-only and tumor-normal analyses. In a real-world cohort, the concordance between ctDNA and tissue samples for identifying targetable variants was 72.2% (457/633). Notably, the EGFR S768I variant, recently recommended by clinical guidelines, achieved an 80% concordance rate. Furthermore, 4.3% of patients (27/633) with targetable variants were identified exclusively through ctDNA testing. CONCLUSION: The ctDNA-based 101-test is a highly sensitive and specific tool for detecting targetable variants in metastatic NSCLC, particularly in cases with insufficient tissue samples. The findings support the use of ctDNA testing as a reliable and complementary method to traditional tissue-based molecular analysis, enhancing the precision of treatment strategies for NSCLC patients.

Assessment of the circulating levels of immune system checkpoint selected biomarkers in patients with lung cancer.

BACKGROUND: Lung cancer is recognized as one of the leading causes of cancer-related deaths globally, with a significant increase in incidence and intricate pathogenic mechanisms. This study examines the expression profiles of Programmed Cell Death Protein 1 (PD-1), PD-1 ligand (PDL-1), ß-catenin, CD44, interleukin 6 (IL-6), and interleukin 10 (IL-10), as well as their correlations with the clinic-pathological features and diagnostic significance in lung cancer patients. METHODS AND RESULTS: The research involved lung cancer patients exhibiting various pathological characteristics, alongside demographically matched healthy controls. The expression levels of PD-1, PDL-1, ß-catenin, and CD44 were analyzed using Real-Time PCR, while circulating levels of IL-6 and IL-10 were assessed through ELISA assays. This investigation focused on peripheral blood mononuclear cells (PBMC) to evaluate these factors non-invasively. Findings indicated that levels of PD-1, PDL-1, and CD44 were significantly elevated in patients compared to controls, which coincided with a decrease in ß-catenin levels. Additionally, a concurrent rise in IL-6 and IL-10, both pro-inflammatory cytokines, was observed in patients, suggesting a potential regulatory role for these cytokines on the PD-1/PDL-1 axis, which may help tumors evade immune system checkpoints. The predictive value of these factors concerning lung tumors and metastasis was significant (Regression analysis). Furthermore, these markers demonstrated diagnostic potential in differentiating between patients and healthy controls, as well as between individuals with metastatic and non-metastatic tumors (ROC curve analysis). CONCLUSIONS: This study provides insights into the expression profiles of PD-1/PDL-1 immune system checkpoints and their regulatory factors in lung cancer, potentially paving the way for new therapeutic and diagnostic approaches.

Serum Inflammatory Dynamics as Novel Biomarkers for Immune Checkpoint Inhibitors in Non-small-cell Lung Cancer With Bone Metastases.

BACKGROUND/AIM: The aim of the study was to develop a novel predictive scoring system based on the dynamics of serum inflammatory indicators in immune checkpoint inhibitor (ICI) treatment on non-small-cell lung cancer (NSCLC) with bone metastases. PATIENTS AND METHODS: Sixty patients with NSCLC and bone metastases treated with ICIs between January 2016 and March 2021 were included in the development cohort. Serum neutrophil-to-lymphocyte ratio (NLR) and C-reactive protein (CRP) levels were assessed before (pre-value) and 6 weeks after (post-value) ICI treatment, and a novel predictive score was developed: pre-value ≥ post-value, 0 points; pre-value < post-value, 1 point; total score: 0-2 points. The associations of these dynamics and the score with clinical outcomes, including overall survival (OS), progression-free survival (PFS), response rate (RR) of bone metastases, and disease control rate (DCR), were evaluated. Furthermore, cross-validation was performed with 23 patients after April 2021 using the same inclusion criteria. RESULTS: The patients with decreased serum inflammation levels had significantly better OS, PFS, and RR than those with increased levels. Applying the developed score to the development cohort, the patients with 0 points had significantly better OS, PFS, and RR than others. In multivariable analysis, the score independently predicted treatment response to ICI for bone metastasis and prognosis. Cross-validation showed that OS, PFS, and RR were significantly better in the patients in the 0-point group. CONCLUSION: The early NLR and CRP dynamics were associated with therapeutic responses to ICIs in NSCLC with bone metastases. Our novel scoring system based on these dynamics is simple and has a high predictive accuracy.

Circulating Exosomal miRNA Profiles in Non-Small Cell Lung Cancers.

A growing number of studies have shown that microRNAs (miRNAs) can exert oncogenic or tumor suppressor activities in a variety of cancers, including lung cancer. Given their presence in exosome preparations, microRNA molecules may in fact participate in exosomal intercellular transfers and signaling. In the present study, we examined the profile of 25 circulating exosomal microRNAs in ostensibly healthy controls compared to patients with squamous cell lung cancers (SQCLC) or lung adenocarcinomas (LUAD). Eight miRNAs, namely, miR-21-5p, miR-126-3p, miR-210-3p, miR-221-3p, Let-7b-5p, miR-146a-5p, miR-222-3p, and miR-9-5p, were highly enriched in the cohort and selected for further analyses. All miRNAs were readily detected in non-small cell lung cancer (NSCLC) patients of both sexes at all cancer stages, and their levels in exosomes correlated with the clinicopathological characteristics of tumors. Thus, the presence of these miRNAs in circulating exosomes may contribute to the regulation of oncogenic activity in patients with NSCLC.

Integration of clinical and blood parameters in risk prognostication for patients receiving immunochemotherapy for extensive stage small cell lung cancer: real-world data from two centers.

BACKGROUND: Immune checkpoint inhibitors (ICIs) had modest advances in the treatment of extensive-stage small cell lung cancer (ES-SCLC) in clinical trials, but there is a lack of biomarkers for prognosis in clinical practice. METHODS: We retrospectively collected data from ES-SCLC patients who received ICIs combined chemotherapy from two centers in China, integrated clinical and blood parameters, and constructed risk prognostication for immunochemotherapy. The population was divided into high- and low-risk groups, and the performance of the model was assessed separately in the training and validation cohorts. RESULTS: Two hundred and twenty and 43 patients were included in the training and validation groups, respectively. The important predictors were screened including body mass index, liver metastases, coefficient variation of red blood cell distribution width, lactate dehydrogenase, albumin, and C-reactive protein. Predicting 1-year overall survival (OS), the AUC values under ROC for the model under training, internal validation, and external validation were 0.760, 0.732, and 0.722, respectively, and the calibration curve and clinical decision curve performed well. Applied the model to divide patients into low-risk and high-risk groups, and the median OS was 23.7 months and 9.1 months, and the median progression-free survival was 8.2 months and 4.8 months, respectively; furthermore, this ability to discriminate survival was also observed in the validation cohort. CONCLUSIONS: We constructed a novel prognostic model for ES-SCLC to predict survival employing baseline tumor burden, nutritional and inflammatory parameters, it is easily measured to screen high-risk patient populations.

Clinical utility of ctDNA by amplicon based next generation sequencing in first line non small cell lung cancer patients.

The assessment of ctDNA has emerged as a minimally invasive avenue for molecular diagnosis and real-time tracking of tumor progression in NSCLC. However, the evaluation of ctDNA by amplicon-based NGS has been not endorsed by all the healthcare systems and remains to be fully integrated into clinical routine practice. To compare tissue single-gene with plasma multiplexed testing, we retrospectively evaluated 120 plasma samples from 12 consecutive patients with advanced non-squamous NSCLC who were part of a prospective study enrolling treatment-naïve patients and in which tissue samples were evaluated using a single-gene testing approach. While the plasma ctDNA detection of EGFR and BRAF mutations had an acceptable level of concordance with the archival tissue (85%), discordance was seen in all the patients in whom ALK alterations were only detected in tissue samples. Among six responders and six non-responders, early ctDNA mutant allelic frequency (MAF) reduction seemed to predict radiologic responses and longer survival, whereas increasing MAF values with the emergence of co-mutations like BRAFV600E, KRASG12V or TP53M237I seemed to be an early indicator of molecular and radiologic progression. This report using an amplicon-based NGS assay on ctDNA underscores the real-life need for plasma and tissue genotyping as complementary tools in the diagnostic and therapeutic decision-making process.

Predicting malignant potential of solitary pulmonary nodules in patients with COVID-19 infection: a comprehensive analysis of CT imaging and tumor markers.

OBJECTIVE: To analyze the value of combining computed tomography (CT) with serum tumor markers in the differential diagnosis of benign and malignant solitary pulmonary nodules (SPNs). METHODS: The case data of 267 patients diagnosed with SPNs in the First Affiliated Hospital of Zhengzhou University from March 2020 to January 2023 were retrospectively analyzed. All individuals diagnosed with coronavirus disease 2019 (COVID-19) were confirmed via respiratory specimen viral nucleic acid testing. The included cases underwent CT, serum tumor marker testing and pathological examination. The diagnostic efficacy and clinical significance of CT, serum tumor marker testing and a combined test in identifying benign and malignant SPNs were analyzed using pathological histological findings as the gold standard. Finally, a nomogram mathematical model was established to predict the malignant probability of SPNs. RESULTS: Of the 267 patients with SPNs, 91 patients were not afflicted with COVID-19, 36 exhibited malignant characteristics, whereas 55 demonstrated benign features. Conversely, within the cohort of 176 COVID-19 patients presenting with SPNs, 62 were identified as having malignant SPNs, and the remaining 114 were diagnosed with benign SPNs. CT scans revealed statistically significant differences between the benign and malignant SPNs groups in terms of CT values (P<0.001), maximum nodule diameter (P<0.001), vascular convergence sign (P<0.001), vacuole sign (P = 0.0007), air bronchogram sign (P = 0.0005), and lobulation sign (P = 0.0005). Malignant SPNs were associated with significantly higher levels of carcinoembryonic antigen (CEA) and neuron-specific enolase (NSE) compared to benign SPNs (P < 0.05), while no significant difference was found in carbohydrate antigen 125 (CA125) levels (P = 0.054 for non-COVID-19; P = 0.072 for COVID-19). The sensitivity (95.83%), specificity (95.32%), and accuracy (95.51%) of the comprehensive diagnosis combining serum tumor markers and CT were significantly higher than those of CT alone (70.45%, 79.89%, 76.78%) or serum tumor marker testing alone (56.52%, 73.71%, 67.79%) (P < 0.05). A visual nomogram predictive model for malignant pulmonary nodules was constructed. CONCLUSION: Combining CT with testing for CEA, CA125, and NSE levels offers high diagnostic accuracy and sensitivity, enables precise differentiation between benign and malignant nodules, particularly in the context of COVID-19, thereby reducing the risk of unnecessary surgical interventions.

Novel prediction model of early screening lung adenocarcinoma with pulmonary fibrosis based on haematological index.

BACKGROUND: Lung cancer (LC), a paramount global life-threatening condition causing significant mortality, is most commonly characterized by its subtype, lung adenocarcinoma (LUAD). Concomitant with LC, pulmonary fibrosis (PF) and interstitial lung disease (ILD) contribute to an intricate landscape of respiratory diseases. Idiopathic pulmonary fibrosis (IPF) in association with LC has been explored. However, other fibrotic interrelations remain underrepresented, especially for LUAD-PF and LUAD-ILD. METHODS: We analysed data with statistical analysis from 7,137 healthy individuals, 7,762 LUAD patients, 7,955 ILD patients, and 2,124 complex PF patients collected over ten years. Furthermore, to identify blood indicators related to lung disease and its complications and compare the relationships between different indicators and lung diseases, we successfully applied the naive Bayes model for a biomarker-based prediction of diagnosis and development into complex PF. RESULTS: Males predominantly marked their presence in all categories, save for complex PF where females took precedence. Biomarkers, specifically AGR, MLR, NLR, and PLR emerged as pivotal in discerning lung diseases. A machine-learning-driven predictive model underscored the efficacy of these markers in early detection and diagnosis, with NLR exhibiting unparalleled accuracy. CONCLUSIONS: Our study elucidates the gender disparities in lung diseases and illuminates the profound potential of serum biomarkers, including AGR, MLR, NLR, and PLR in early lung cancer detection. With NLR as a standout, therefore, this study advances the exploration of indicator changes and predictions in patients with pulmonary disease and fibrosis, thereby improving early diagnosis, treatment, survival rate, and patient prognosis.

Assessing the Sensitivity of Nested PCR Followed by Direct Sequencing on Exosomal DNA for EGFR Mutation Detection in NSCL

Background: Early and minimally invasive detection of epidermal growth factor receptor (EGFR) mutations in non-small cell lung cancer (NSCLC) patients is a promising tool to select patients for targeted therapy in order to improve their prognosis. This study aimed to identify a sensitive, cost-effective, and easily accessible noninvasive method for detecting the EGFR-targetable mutations in the plasma exosomal DNA (exoDNA)+ of patients with NSCLC. Methods: This retrospective observational study was conducted over 10 months, from December 2022 to October 2023, at Masih Daneshvari Hospital in Tehran, Iran. A total of 30 patients with stage II-IV NSCLC and targetable mutation in the EGFR gene were included in the study. Nested PCR and Sanger sequencing were used to evaluate EGFR mutations in the DNA extracted from circulating exosomes. Results: The study found a sensitivity of 76.6% for EGFR mutation detection on exoDNA compared to tissue results. No significant impact was observed based on tumor staging, histology, mutation type, smoking status, gender, or age. Conclusion: Therapeutically targetable driver mutations in the EGFR gene can be accurately detected using nested PCR followed by direct sequencing of plasma exoDNA from patients with NSCLC. This approach facilitates timely and more personalized treatment for NSCLC patients, ultimately improving patient prognosis. Additionally, this method reduces the reliance on invasive tissue biopsies and their associated complications.