Differential diagnosis of multiple primary lung cancers and intra-lung metastasis of lung cancer by multiple gene detection.
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ABSTRACT:
SUBMITTER: Xu L
PROVIDER: S-EPMC8850826 | biostudies-literature | 2021 Nov
REPOSITORIES: biostudies-literature
Publications
Differential diagnosis of multiple primary lung cancers and intra-lung metastasis of lung cancer by multiple gene detection.
Xu Liuyang L Chen Jin J Zeng Yupeng Y Li Xiao X Zhang Zhihong Z
Chinese medical journal 20220101 1
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Project description:In cases of multiple lung cancers, individual tumors may represent either a primary lung cancer or both primary and metastatic lung cancers. Treatment selection varies depending on such features, and this discrimination is critically important in predicting prognosis. The present study was undertaken to determine the efficacy and validity of mutation analysis as a means of determining whether multiple lung cancers are primary or metastatic in nature. The study involved 12 patients who underwent surgery in our department for multiple lung cancers between July 2014 and March 2016. Tumor cells were collected from formalin-fixed paraffin-embedded tissues of the primary lesions by using laser capture microdissection, and targeted sequencing of 53 lung cancer-related genes was performed. In surgically treated patients with multiple lung cancers, the driver mutation profile differed among the individual tumors. Meanwhile, in a case of a solitary lung tumor that appeared after surgery for double primary lung cancers, gene mutation analysis using a bronchoscopic biopsy sample revealed a gene mutation profile consistent with the surgically resected specimen, thus demonstrating that the tumor in this case was metastatic. In cases of multiple lung cancers, the comparison of driver mutation profiles clarifies the clonal origin of the tumors and enables discrimination between primary and metastatic tumors.
| S-EPMC5458195 | biostudies-literature
Project description:BackgroundTo explore the genetic and immunophenotyping heterogeneities between patients with intrapulmonary metastasis (IPM) or multiple primary lung cancer (MPLC).MethodsWhole exome sequencing (WES) and transcriptome sequencing (RNA-seq) were performed on the tissue and blood samples of IPM and MPLC patients to comprehensively analyze the clonal evolution, molecular typing and immunophenotyping.ResultsThere was no significant difference in genetic mutation, tumor mutational burden (TMB) value and mutant allele tumor heterogeneity (MATH) value between IPM and MPLC patients. Notably, the loss of heterozygosity (LOH) of human leukocyte antigen (HLA) appeared in all IPM patients, while there was also no significant difference between the two groups. In addition, expression of immune checkpoint-related genes including CTLA-4, BTLA, TIGIT and HAVCR2 in the MPLC group was significantly higher than those in IPM group. At the same time, 86 differentially expressed genes (DEGs) were observed between IPM and MPLC patients with transcriptome sequencing, of which 56 DEGs were upregulated and 30 were downregulated in the IPM group compared with the MPLC group. The cluster analysis revealed that the 86 DEGs could be distinguished in IPM and MPLC samples. Moreover, only the infiltration levels of CD56dim natural killer cells in the IPM group was significantly higher than that in the MPLC group, and the infiltration levels of the remaining 27 immune cell subsets were similar in both groups.ConclusionsIPM and MPLC are roughly similar in genetic and immune characteristics indicating that genomics alone may not be able to effectively distinguish between IPM and MPLC, which still needs to be comprehensively evaluated with clinical manifestations, imaging, and pathological characteristics.
| S-EPMC8487821 | biostudies-literature
Project description:Lung cancer is a leading cause of cancer mortality worldwide. As the incidence of lung cancer increases in recent years, the number of patients diagnosed with synchronous multiple primary lung cancers (SMPLC) is also rising. SMPLC diagnosis is often made based on the clinical course, imaging findings, and histologic and molecular features. Standard lobectomy is the main therapeutic modality for SMPLC. Because maximum retention of lung function is essential, sublobectomy is also a commonly used surgical strategy when appropriate. The question is how to optimize the sequence of lobectomy and sublobectomy for patients with SMPLC. Thoracoscope lobectomy for the primary lesion plus sublobectomy for the secondary lesions is the most commonly used approach. Here we present a case of SMPLC with sublobectomy followed by lobectomy.
| S-EPMC7552085 | biostudies-literature
Project description:Purpose/objectivesPatients with lung cancer sometimes present with multiple primary lung cancers (MPLCs), either simultaneously (synchronous) or after treatment of an initial lesion (metachronous). Although open surgery remains a treatment mainstay for patients with stage I-II non-small-cell lung cancer (NSCLC), stereotactic body radiation therapy (SBRT) is an acceptable alternative for patients who are medically unfit for or who refuse surgery. In this study, we retrospectively examine the outcome among patients with early-stage MPLCs treated at our institution with SBRT.Materials/methodsPatients at our institution receiving SBRT for MPLC between June 2011 and March 2020 were reviewed retrospectively. Prior to undergoing definitive SBRT, the imaging, and pathology for every patient were reviewed in a multi-disciplinary thoracic/pulmonary tumor board. Dose and fractionation varied with the most common prescriptions being 50 Gy/5 fractions, 56 Gy/4 fractions, and 55 Gy/5 fractions.ResultsA total of 38 patients with a total of 80 MPLCs were treated, among which 68 were T1 lesions and 12 were T2 lesions. Median follow-up was 25.9 months, with local control (LC) rates calculated per lesion to be 98.6%, 93.3%, and 88.2% at one, two, and three years. Median overall survival (OS) was 43.5 months; 83.6%, 67.8%, and 52.3% at one, two, and three years, respectively. Sixty-two of the 80 (77.5%) treated lesions were not associated with any subsequent acute or late toxicity. The 18 (22.5%) lesions associated with toxicity included nine acute and nine late events. All toxicity was either grade 1 (13 of 18) or grade 2 (five of 18).ConclusionsSBRT for early-stage MPLC achieves high control rates with limited toxicity. MPLC patients deemed unfit for open surgical management should be considered for definitive SBRT.
| S-EPMC10395656 | biostudies-literature
Project description:The prognostic indicators for synchronous multiple primary non-small cell lung cancer (NSCLC) vary across reports. In present study, the prognostic factors for the patients with synchronous multiple primary NSCLC were analyzed in a large cohort. A total of 285 patients with synchronous multiple primary NSCLC who underwent radical surgical resection and with complete follow-up information were included in this study. The Kaplan-Meier method were used for survival analysis, Cox proportional hazards regression models were used for risk factors evaluation. Among them, 94 (33.0%) patients had bilateral tumors and 51 (17.9%) had multiple (≥3) tumors. The 5-year disease-free survival (DFS) and overall survival (OS) rate was 58.7% and 77.6%, respectively. Univariate analysis identified parameters conferring shorter OS including male gender, symptomatic disease, negative family history, large maximal tumor size, not all adenocarcinomas, advanced highest T stage, and lymph node involvement. Multivariate analysis showed that male gender (p = 0.020), symptomatic disease (p = 0.017), and lymph node involvement (p < 0.001) were independent adverse prognosticators. For patients with multiple adenocarcinomas, the 5-year DFS and OS rate was 59.6% and 82.4%, respectively. The subtypes other than lepidic predominant (p < 0.001) and lymph node involvement (p = 0.002) were the independent unfavorable prognosticators. In conclusion, we identified independent prognosticators which will provide the valuable clues for postoperative management of patients with synchronous multiple primary NSCLC.
| S-EPMC4890551 | biostudies-literature
Project description:BackgroundThe ability to distinguish satellite nodules, multiple primary lung cancers (MPLCs), and intrapulmonary metastases (IPM) is crucial for prognosis and treatment. The traditional diagnostic criteria for MPLC/IPM including the Martini and Melamed (MM) criteria and the comprehensive histologic assessment (CHA) criteria, mainly relies on histological comparison between multiple lesions. However, many challenges remain in distinguishing them in clinical practice.Case descriptionWe herein present a report of 3 lung adenocarcinoma cases who presented with 2 lesions, with improved diagnosis based on targeted sequencing covering driver genes. Based on histopathological features, patient 1 (P1) was classified as MPLC, whereas patients 2 and 3 (P2, P3) were classified as satellite nodules. However, targeted sequencing revealed the clonality status of these lesions and improved their diagnosis. The result of the molecular testing indicated that P1 is IPM and the other two patients (P2, P3) should be diagnosed with MPLC.ConclusionsDifferent lesions in the same case had different driver mutations, suggesting that the 2 lesions were driven by different molecular events. Therefore, targeted sequencing containing driver genes should be used for the diagnosis of multiple synchronous lung cancers. A limitation of this report is the short follow up period, and long-term outcomes of the patients require further follow up.
| S-EPMC10183397 | biostudies-literature
Project description:Metastasis is known as a key step in cancer recurrence and could be stimulated by multiple factors. Calumenin (CALU) is one of these factors which has a direct impact on cancer metastasis and yet, its underlined mechanisms have not been completely elucidated. The current study was aimed to identify CALU co-expressed genes, their signaling pathways, and expression status within the human cancers. To this point, CALU associated genes were visualized using the Cytoscape plugin BisoGenet and annotated with the Enrichr web-based application. The list of CALU related diseases was retrieved using the DisGenNet, and cancer datasets were downloaded from The Cancer Genome Atlas (TCGA) and analyzed with the Cufflink software. ROC curve analysis was used to estimate the diagnostic accuracy of DEGs in each cancer, and the Kaplan-Meier survival analysis was performed to plot the overall survival of patients. The protein level of the signature biomarkers was measured in 40 biopsy specimens and matched adjacent normal tissues collected from CRC and lung cancer patients. Analysis of CALU co-expressed genes network in TCGA datasets indicated that the network is markedly altered in human colon (COAD) and lung (LUAD) cancers. Diagnostic accuracy estimation of differentially expressed genes showed that a gene panel consisted of CALU, AURKA, and MCM2 was able to successfully distinguish cancer tumors from healthy samples. Cancer cases with abnormal expression of the signature genes had a significantly lower survival rate than other patients. Additionally, comparison of CALU, AURKA, and MCM2 proteins between healthy samples, early and advanced tumors showed that the level of these proteins was increased through normal-carcinoma transition in both types of cancers. These data indicate that the interactions between CALU, AURKA, and MCM2 has a pivotal role in cancer development, and thereby needs to be explored in the future.
| S-EPMC7259615 | biostudies-literature
Project description:BACKGROUND With the development of research on cancer genomics and microenvironment, a new era of oncology focusing on the complicated gene regulation of pan-cancer research and cancer immunotherapy is emerging. This study aimed to identify the common gene expression characteristics of multiple cancers - lung cancer, liver cancer, kidney cancer, cervical cancer, and breast cancer - and the potential therapeutic targets in public databases. MATERIAL AND METHODS Gene expression analysis of GSE42568, GSE19188, GSE121248, GSE63514, and GSE66272 in the GEO database of multitype cancers revealed differentially expressed genes (DEGs). Then, GO analysis, KEGG function, and path enrichment analyses were performed. Hub-genes were identified by using the degree of association of protein interaction networks. Moreover, the expression of hub-genes in cancers was verified, and hub-gene-related survival analysis was conducted. Finally, infiltration levels of tumor immune cells with related genes were explored. RESULTS We found 12 cross DEGs in the 5 databases (screening conditions: "adj p<0.05" and "logFC>2 or logFC<-2"). The biological processes of DEGs were mainly concentrated in cell division, regulation of chromosome segregation, nuclear division, cell cycle checkpoint, and mitotic nuclear division. Furthermore, 10 hub-genes were obtained using Cytoscape: TOP2A, ECT2, RRM2, ANLN, NEK2, ASPM, BUB1B, CDK1, DTL, and PRC1. The high expression levels of the 10 genes were associated with the poor survival of these multiple cancers, as well as ASPM, may be associated with immune cell infiltration. CONCLUSIONS Analysis of the common DEGs of multiple cancers showed that 10 hub-genes, especially ASPM and CDK1, can become potential therapeutic targets. This study can serve as a reference to understand the characteristics of different cancers, design basket clinical trials, and create personalized treatments.
| S-EPMC7027371 | biostudies-literature
Project description:ObjectivesMultiple lung cancers may present as multiple primary lung cancers (MPLC) or intrapulmonary metastasis (IPM) with variations in clinical stage, treatment, and prognosis. However, the existing differentiation criteria based on histology do not fully meet the clinical needs. Next-generation sequencing (NGS) may play an important role in assisting the identification of different pathologies. Here, we extended the relevant data by combining histology and NGS to develop detailed identification criteria for MPLC and IPM.Materials and methodsPatients with lung cancer (each patient had ≥2 tumors) were enrolled in the training (n = 22) and validation (n = 13) cohorts. Genomic profiles obtained from 450-gene-targeted NGS were analyzed, and the new criteria were developed based on our findings and pre-existing Martini & Melamed criteria and molecular benchmarks.ResultsThe analysis of the training cohort indicated that patients identified with MPLC had no (or <2) trunk or shared mutations. However, 98.02% of mutations were branch mutations, and 69.23% of MPLC had no common mutations. In contrast, a higher percentage of trunk (33.08%) or shared (9.02%) mutations were identified in IPM, suggesting significant differences among mutated components. Subsequently, eight MPLC and five IPM cases were identified in the validation cohort, aligning with the independent imaging and pathologic distinction. Overall, the percentage of trunk and shared mutations was higher in patients with IPM than in patients with MPLC. Based on these results and the establishment of new determination criteria for MPLC and IPM, we emphasize that the type and number of shared variants based on histologic consistency assist in identification.ConclusionDetermining genetic alterations may be an effective method for differentiating MPLC and IPM, and NGS can be used as a valuable assisting tool.
| S-EPMC10838092 | biostudies-literature
Project description:ObjectiveWe have developed a new technique that uses the ratios of select gene expression levels to translate complex genomic data into simple clinically relevant tests for the diagnosis and prognosis of cancer. We determined whether select gene pair ratio combinations can be used to detect and diagnose lung cancer with high accuracy and sensitivity.MethodsWe used gene expression profiling data to train a ratio-based predictor model to discriminate among a set of samples (n = 145 total) composed of normal lung, small cell lung cancer, adenocarcinoma, squamous cell carcinoma, and pulmonary carcinoid (the training set). We then examined the optimal test in an independent set of samples (the test set, n = 122). Finally, we used one aspect of the test to determine whether the gene ratio technique was capable of detecting cancer in specimens from fine-needle aspirations performed ex vivo with normal lung (n = 14) and suspected tumor nodules (n = 15) acquired at our institution.ResultsWe found that a ratio-based test with 23 genes could be used to classify training set samples with 90% accuracy. This same test was similarly accurate (88%) when applied to the test set of samples. We also found that this test was 87% and 100% accurate at detecting cancer in normal and tumorous fine-needle aspiration specimens, respectively.ConclusionThe gene expression ratio diagnostic technique is likely to aid in the differential diagnosis of solitary lung nodules in patients with suspected cancer and may also prove useful in developing lung cancer screening strategies that incorporate analysis of fine-needle aspiration specimens.
| S-EPMC2194803 | biostudies-literature