Bronchoalveolar Lavage Fluid-Isolated Biomarkers for the Diagnostic and Prognostic Assessment of Lung Cancer

Kalkanis, Alexandros; Papadopoulos, Dimitrios; Testelmans, Dries; Kopitopoulou, Alexandra; Boeykens, Eva; Wauters, Els

doi:10.3390/diagnostics12122949

Cited by 8 publications

(6 citation statements)

References 107 publications

(104 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Due to its late identification, LC is one of the most lethal malignant neoplasms; whereas, by finding molecular markers in samples by conducting a normal bronchoscopy, and several liquid-based cytology methods, such as bronchoalveolar lavage fluid (BALF), the effectiveness for the diagnosis of LC can be improved [ 56 ]. BALF is a promising noninvasive source of protein biomarkers with good diagnostic specificity for LC, but the amount of research using BALF for markers needs to be increased [ 57 ].…”

Section: Types Of Samples Used For Metabolite Analysis In Lcmentioning

confidence: 99%

“…According to the pertinent medical studies, tumor markers in the patient’s body’s bronchial lavage fluid had characteristics such as earlier appearance and higher concentrations compared with tumor markers in serum, making them more useful for early identification of LC [ 58 , 59 ]. With the help of BALF analysis, adverse effects linked to various treatment in the lungs can be detected and BALF cell-free DNA (cfDNA) testing, whose potential clinical uses are to test for LC and mutations, is found to be more precise for the detection of mutations linked to LC [ 56 , 60 , 61 ].…”

Section: Types Of Samples Used For Metabolite Analysis In Lcmentioning

confidence: 99%

See 1 more Smart Citation

A Systematic Role of Metabolomics, Metabolic Pathways, and Chemical Metabolism in Lung Cancer

et al. 2023

View full text Add to dashboard Cite

Lung cancer (LC) is considered as one of the leading causes of cancer-associated mortalities. Cancer cells’ reprogrammed metabolism results in changes in metabolite concentrations, which can be utilized to identify a distinct metabolic pattern or fingerprint for cancer detection or diagnosis. By detecting different metabolic variations in the expression levels of LC patients, this will help and enhance early diagnosis methods as well as new treatment strategies. The majority of patients are identified at advanced stages after undergoing a number of surgical procedures or diagnostic testing, including the invasive procedures. This could be overcome by understanding the mechanism and function of differently regulated metabolites. Significant variations in the metabolites present in the different samples can be analyzed and used as early biomarkers. They could also be used to analyze the specific progression and type as well as stages of cancer type making it easier for the treatment process. The main aim of this review article is to focus on rewired metabolic pathways and the associated metabolite alterations that can be used as diagnostic and therapeutic targets in lung cancer diagnosis as well as treatment strategies.

show abstract

Section: Types Of Samples Used For Metabolite Analysis In Lcmentioning

confidence: 99%

Section: Types Of Samples Used For Metabolite Analysis In Lcmentioning

confidence: 99%

A Systematic Role of Metabolomics, Metabolic Pathways, and Chemical Metabolism in Lung Cancer

et al. 2023

View full text Add to dashboard Cite

show abstract

“…Therefore, understanding the alteration of NSCLC's TME will reinforce biomarkers identification for cancer diagnosis and appropriate therapeutic regimens. Bronchoalveolar lavage fluid (BALF) is believed to contain salient information about the TME, including protein biomarkers that potentially indicate tumorigenesis [5]. Recently, our group has developed new methods to enhance the quantitative analysis of BALF proteome and identified potential biomarkers for subtypes of patients with small‐cell lung cancers [6, 7].…”

Section: Figurementioning

confidence: 99%

Parallel accumulation‐serial fragmentation method for in‐depth proteomic analysis of bronchoalveolar lavage fluid collected from patients with nonsmall cell lung cancer

Vu,

Huh,

Lee

et al. 2024

Proteomics Clinical Apps

View full text Add to dashboard Cite

PurposeAdvances in mass spectrometry‐based quantitative proteomic analysis have successfully demonstrated the in‐depth detection of protein biomarkers in bronchoalveolar lavage fluid (BALF) from patients with lung cancers. Recently, ion mobility technology was incorporated into the mass spectrometers escalating the sensitivity and throughput. Utilizing these advantages, herein, we employed the parallel accumulation–serial fragmentation (PASEF) implanted in a timsTOF Pro mass spectrometer to examine the alteration of BALF proteomes in patients with nonsmall cell lung cancers (NSCLCs).Experimental designBALF proteins were processed from patients with NSCLC and analyzed in a timsTOF Pro mass spectrometer with the PASEF method using a peptide input of 100 ng. Label‐free mass spectrometry data were analyzed in the FragPipe platform.ResultsWe quantitated over 1400 proteins from a single injection of 100 ng of peptides per sample with a median of ∼2000 proteins. We were able to find a few potential biomarker proteins upregulated in NSCLC.Conclusions and clinical relevanceThe alterations of the BALF proteome landscape vary among patients with NSCLC as previously observed in patients with small‐cell lung cancers. The PASEF method has significantly enhanced the sensitivity and throughput, demonstrating its effectiveness in clinical research and application.

show abstract

“…Although BAL is a nearly noninvasive test, saline lavage often induces cough and other discomforts; therefore, 2% lidocaine is usually injected for tracheal local anesthesia. Bronchoalveolar lavage fluid is rich in metabolically related biochemical substances and has a unique value in the diagnosis of respiratory diseases, including lung cancer 108 .…”

Section: Sample Types Of Lung Cancer Metabolomicsmentioning

confidence: 99%

Metabolomics Analysis and Diagnosis of Lung Cancer: Insights from Diverse Sample Types

Liang,

Cao,

Wang

et al. 2024

Int. J. Med. Sci.

View full text Add to dashboard Cite

Lung cancer is a highly fatal disease that poses a significant global health burden. The absence of characteristic clinical symptoms frequently results in the diagnosis of most patients at advanced stages of lung cancer. Although low-dose computed tomography (LDCT) screening has become increasingly prevalent in clinical practice, its high rate of false positives continues to present a significant challenge. In addition to LDCT screening, tumor biomarker detection represents a critical approach for early diagnosis of lung cancer; unfortunately, no tumor marker with optimal sensitivity and specificity is currently available. Metabolomics has recently emerged as a promising field for developing novel tumor biomarkers. In this paper, we introduce metabolic pathways, instrument platforms, and a wide variety of sample types for lung cancer metabolomics. Specifically, we explore the strengths, limitations, and distinguishing features of various sample types employed in lung cancer metabolomics research. Additionally, we present the latest advances in lung cancer metabolomics research that utilize diverse sample types. We summarize and enumerate research studies that have investigated lung cancer metabolomics using different metabolomic sample types. Finally, we provide a perspective on the future of metabolomics research in lung cancer. Our discussion of the potential of metabolomics in developing new tumor biomarkers may inspire further study and innovation in this dynamic field

show abstract

Bronchoalveolar Lavage Fluid-Isolated Biomarkers for the Diagnostic and Prognostic Assessment of Lung Cancer

Cited by 8 publications

References 107 publications

A Systematic Role of Metabolomics, Metabolic Pathways, and Chemical Metabolism in Lung Cancer

A Systematic Role of Metabolomics, Metabolic Pathways, and Chemical Metabolism in Lung Cancer

Parallel accumulation‐serial fragmentation method for in‐depth proteomic analysis of bronchoalveolar lavage fluid collected from patients with nonsmall cell lung cancer

Metabolomics Analysis and Diagnosis of Lung Cancer: Insights from Diverse Sample Types

Contact Info

Product

Resources

About