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Genet SAAM, Visser E, Youssef-El Soud M, Belderbos HNA, Stege G, de Saegher MEA, Westeinde SCV', Brunsveld L, Broeren MAC, van de Kerkhof D, Eduati F, van den Borne BEEM, Scharnhorst V. Strengths and challenges in current lung cancer care: Timeliness and diagnostic procedures in six Dutch hospitals. Lung Cancer 2024; 189:107477. [PMID: 38271919 DOI: 10.1016/j.lungcan.2024.107477] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Revised: 01/16/2024] [Accepted: 01/17/2024] [Indexed: 01/27/2024]
Abstract
OBJECTIVES Timely diagnosis of lung cancer (LC) is crucial to achieve optimal patient care and outcome. Moreover, the number of procedures required to obtain a definitive diagnosis can have a large influence on the life expectancy of a patient. Here, adherence with existing Dutch guidelines for timeliness and type and number of invasive and imaging procedures was assessed. MATERIALS AND METHODS 1096 patients with suspected LC were enrolled in this multicenter prospective study (NL9146). The overall survival, time from referral to the first appointment with the pulmonologist, time to diagnosis and treatment, and the number of imaging and invasive procedures were evaluated. Patients were divided into different diagnostic groupsearly- and advanced stage non-small-cell lung cancer (NSCLC), small-cell lung cancer (SCLC), large cell neuroendocrine carcinoma of the lung (LCNEC), patients without LC and patients without a definitive diagnosis. RESULTS The majority of patients (66 %) received a definitive diagnosis within 5 weeks, although the time to diagnosis of early-stage LC patients and patients without LC was significantly longer comparted to advanced stage LC. An increase in invasive procedures was seen for early-stage LC compared to advanced stage LC and for 13 % of the advanced stage non-squamous NSCLC patients up to three additional invasive procedures were performed solely to obtain sufficient material for NGS. For patients without a definitive diagnosis, 50 % did undergo at least one invasive procedure, while 11 % did not wish to undergo any invasive procedures. CONCLUSION These insights could aid in improved LC diagnostics and efficient implementation of new techniques like liquid biopsy and artificial intelligence. This may lead to more timely LC care, a decreased number of invasive procedures, less variability between the diagnostic trajectory of different patients and aid in obtaining a definitive diagnosis for all patients.
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Affiliation(s)
- Sylvia A A M Genet
- Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands; Catharina Hospital Eindhoven, Eindhoven, The Netherlands; Expert Center Clinical Chemistry Eindhoven, Eindhoven, The Netherlands; Institute for Complex Molecular Systems, Eindhoven University of Technology, Eindhoven, The Netherlands
| | - Esther Visser
- Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands; Catharina Hospital Eindhoven, Eindhoven, The Netherlands; Máxima Medical Center, Eindhoven/Veldhoven, The Netherlands; Expert Center Clinical Chemistry Eindhoven, Eindhoven, The Netherlands
| | | | | | | | | | | | - Luc Brunsveld
- Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands; Expert Center Clinical Chemistry Eindhoven, Eindhoven, The Netherlands; Institute for Complex Molecular Systems, Eindhoven University of Technology, Eindhoven, The Netherlands
| | - Maarten A C Broeren
- Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands; Máxima Medical Center, Eindhoven/Veldhoven, The Netherlands; Expert Center Clinical Chemistry Eindhoven, Eindhoven, The Netherlands
| | - Daan van de Kerkhof
- Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands; Catharina Hospital Eindhoven, Eindhoven, The Netherlands; Expert Center Clinical Chemistry Eindhoven, Eindhoven, The Netherlands
| | - Federica Eduati
- Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands; Expert Center Clinical Chemistry Eindhoven, Eindhoven, The Netherlands; Institute for Complex Molecular Systems, Eindhoven University of Technology, Eindhoven, The Netherlands; Eindhoven Artificial Intelligence Systems Institute, Eindhoven University of Technology, Eindhoven, The Netherlands
| | | | - Volkher Scharnhorst
- Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands; Catharina Hospital Eindhoven, Eindhoven, The Netherlands; Expert Center Clinical Chemistry Eindhoven, Eindhoven, The Netherlands; Institute for Complex Molecular Systems, Eindhoven University of Technology, Eindhoven, The Netherlands; Eindhoven Artificial Intelligence Systems Institute, Eindhoven University of Technology, Eindhoven, The Netherlands.
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Visser E, Genet SAAM, de Kock RPPA, van den Borne BEEM, Youssef-El Soud M, Belderbos HNA, Stege G, de Saegher MEA, van 't Westeinde SC, Brunsveld L, Broeren MAC, van de Kerkhof D, Deiman BALM, Eduati F, Scharnhorst V. Liquid biopsy-based decision support algorithms for diagnosis and subtyping of lung cancer. Lung Cancer 2023; 178:28-36. [PMID: 36773458 DOI: 10.1016/j.lungcan.2023.01.014] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 01/11/2023] [Accepted: 01/29/2023] [Indexed: 02/04/2023]
Abstract
OBJECTIVES Pathologic subtyping of tissue biopsies is the gold standard for the diagnosis of lung cancer (LC), which could be complicated in cases of e.g. inconclusive tissue biopsies or unreachable tumors. The diagnosis of LC could be supported in a minimally invasive manner using protein tumor markers (TMs) and circulating tumor DNA (ctDNA) measured in liquid biopsies (LBx). This study evaluates the performance of LBx-based decision-support algorithms for the diagnosis of LC and subtyping into small- and non-small-cell lung cancer (SCLC and NSCLC) aiming to directly impact clinical practice. MATERIALS AND METHODS In this multicenter prospective study (NL9146), eight protein TMs (CA125, CA15.3, CEA, CYFRA 21-1, HE4, NSE, proGRP and SCCA) and ctDNA mutations in EGFR, KRAS and BRAF were analyzed in blood of 1096 patients suspected of LC. The performance of individual and combined TMs to identify LC, NSCLC or SCLC was established by evaluating logistic regression models at pre-specified positive predictive values (PPV) of ≥95% or ≥98%. The most informative protein TMs included in the multi-parametric models were selected by recursive feature elimination. RESULTS Single TMs could identify LC, NSCLC and SCLC patients with 46%, 25% and 40% sensitivity, respectively, at pre-specified PPVs. Multi-parametric models combining TMs and ctDNA significantly improved sensitivities to 65%, 67% and 50%, respectively. CONCLUSION In patients suspected of LC, the LBx-based decision-support algorithms allowed identification of about two-thirds of all LC and NSCLC patients and half of SCLC patients. These models therefore show clinical value and may support LC diagnostics, especially in patients for whom pathologic subtyping is impossible or incomplete.
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Affiliation(s)
- Esther Visser
- Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands; Catharina Hospital Eindhoven, Eindhoven, the Netherlands; Máxima Medical Center, Eindhoven/Veldhoven, the Netherlands; Expert Center Clinical Chemistry Eindhoven, Eindhoven, the Netherlands.
| | - Sylvia A A M Genet
- Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands; Catharina Hospital Eindhoven, Eindhoven, the Netherlands; Expert Center Clinical Chemistry Eindhoven, Eindhoven, the Netherlands; Institute for Complex Molecular Systems, Eindhoven University of Technology, Eindhoven, the Netherlands
| | - Remco P P A de Kock
- Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands; Catharina Hospital Eindhoven, Eindhoven, the Netherlands; Máxima Medical Center, Eindhoven/Veldhoven, the Netherlands; Expert Center Clinical Chemistry Eindhoven, Eindhoven, the Netherlands
| | | | | | | | | | | | | | - Luc Brunsveld
- Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands; Expert Center Clinical Chemistry Eindhoven, Eindhoven, the Netherlands; Institute for Complex Molecular Systems, Eindhoven University of Technology, Eindhoven, the Netherlands
| | - Maarten A C Broeren
- Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands; Máxima Medical Center, Eindhoven/Veldhoven, the Netherlands; Expert Center Clinical Chemistry Eindhoven, Eindhoven, the Netherlands
| | - Daan van de Kerkhof
- Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands; Catharina Hospital Eindhoven, Eindhoven, the Netherlands
| | - Birgit A L M Deiman
- Catharina Hospital Eindhoven, Eindhoven, the Netherlands; Expert Center Clinical Chemistry Eindhoven, Eindhoven, the Netherlands
| | - Federica Eduati
- Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands; Expert Center Clinical Chemistry Eindhoven, Eindhoven, the Netherlands; Institute for Complex Molecular Systems, Eindhoven University of Technology, Eindhoven, the Netherlands; Eindhoven Artificial Intelligence Systems Institute, Eindhoven University of Technology, Eindhoven, the Netherlands
| | - Volkher Scharnhorst
- Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands; Catharina Hospital Eindhoven, Eindhoven, the Netherlands; Expert Center Clinical Chemistry Eindhoven, Eindhoven, the Netherlands; Institute for Complex Molecular Systems, Eindhoven University of Technology, Eindhoven, the Netherlands; Eindhoven Artificial Intelligence Systems Institute, Eindhoven University of Technology, Eindhoven, the Netherlands
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Ning S, Mo J, Huang R, Liu B, Fu B, Ding S, Yang H, Cui Y, Yao L. Injectable thermo-sensitive hydrogel loaded hollow copper sulfide nanoparticles for ROS burst in TME and effective tumor treatment. Front Bioeng Biotechnol 2023; 11:1191014. [PMID: 37200848 PMCID: PMC10185793 DOI: 10.3389/fbioe.2023.1191014] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Accepted: 04/18/2023] [Indexed: 05/20/2023] Open
Abstract
Introduction: Lung cancer the most prevalent cause of cancer-related deaths, and current therapies lack sufficient specificity and efficacy. This study developed an injectable thermosensitive hydrogel harboring hollow copper sulfide nanoparticles and β-lapachone (Lap) (CLH) for lung tumor treatment. Methods: The hydrogel-encapsulated CLH system can remotely control the release of copper ions (Cu2+) and drugs using photothermal effects for non-invasive controlled-release drug delivery in tumor therapy. The released Cu2+ consumes the overexpressed GSH in TME and the generated Cu+ further exploits the TME characteristics to initiate nanocatalytic reactions for generating highly toxic hydroxyl radicals. In addition, in cancer cells overexpressing Nicotinamide adenine dinucleotide (phosphate): quinone oxidoreductase 1 (NQO1), Lap can catalyze the generation of hydrogen peroxide (H2O2) through futile redox cycles. H2O2 is further converted into highly toxic hydroxyl radicals via the Fenton-like reaction, leading to a burst of reactive oxygen species in TME, which further enhances the therapeutic effect of chemokines. Results: Analysis of the antitumor efficacy in a subcutaneous A549 lung tumor model mice showed a significant delay in tumor growth and no systemic toxicity was detected. Discussion: In conclusion, we have established a CLH nanodrug platform that enables efficient lung tumor therapy through combined photothermal/chemodynamic therapy (CDT) treatment and self-supplying H2O2 to achieve cascade catalysis, leading to explosive amplification of oxidative stress.
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Affiliation(s)
- Shipeng Ning
- Guangxi Medical University Cancer Hospital, Nanning, China
| | - Jianlan Mo
- Department of Anesthesiology, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Rong Huang
- Guangxi Medical University Cancer Hospital, Nanning, China
| | - Benkun Liu
- Department of Thoracic Surgery, Harbin Medical University Cancer Hospital, Harbin, China
| | - Bicheng Fu
- Department of Thoracic Surgery, Harbin Medical University Cancer Hospital, Harbin, China
| | - Shuaijie Ding
- Department of Gastrointestinal Surgery and Department of Geriatrics, Shenzhen People’s Hospital (The Second Clinical Medical College, Jinan University, The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong, China
| | - Huawei Yang
- Guangxi Medical University Cancer Hospital, Nanning, China
- *Correspondence: Huawei Yang, ; Ying Cui, ; Lei Yao,
| | - Ying Cui
- Department of Radiation Oncology, Harbin Medical University Cancer Hospital, Harbin, China
- *Correspondence: Huawei Yang, ; Ying Cui, ; Lei Yao,
| | - Lei Yao
- Department of Thoracic Surgery, Harbin Medical University Cancer Hospital, Harbin, China
- *Correspondence: Huawei Yang, ; Ying Cui, ; Lei Yao,
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Shi P, Xie S, Yang J, Zhang Y, Han S, Su S, Yao H. Pharmacological effects and mechanisms of bee venom and its main components: Recent progress and perspective. Front Pharmacol 2022; 13:1001553. [PMID: 36238572 PMCID: PMC9553197 DOI: 10.3389/fphar.2022.1001553] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2022] [Accepted: 08/29/2022] [Indexed: 11/19/2022] Open
Abstract
Bee venom (BV), a type of defensive venom, has been confirmed to have favorable activities, such as anti-tumor, neuroprotective, anti-inflammatory, analgesic, anti-infectivity effects, etc. This study reviewed the recent progress on the pharmacological effects and mechanisms of BV and its main components against cancer, neurological disorders, inflammatory diseases, pain, microbial diseases, liver, kidney, lung and muscle injury, and other diseases in literature during the years 2018–2021. The related target proteins of BV and its main components against the diseases include Akt, mTOR, JNK, Wnt-5α, HIF-1α, NF-κB, JAK2, Nrf2, BDNF, Smad2/3, AMPK, and so on, which are referring to PI3K/Akt/mTOR, MAPK, Wnt/β-catenin, HIF-1α, NF-κB, JAK/STAT, Nrf2/HO-1, TrkB/CREB/BDNF, TGF-β/Smad2/3, and AMPK signaling pathways, etc. Further, with the reported targets, the potential effects and mechanisms on diseases were bioinformatically predicted via Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway, disease ontology semantic and enrichment (DOSE) and protein-protein interaction (PPI) analyses. This review provides new insights into the therapeutic effects and mechanisms of BV and its main components on diseases.
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Affiliation(s)
- Peiying Shi
- Department of Traditional Chinese Medicine Resource and Bee Products, College of Animal Sciences (College of Bee Science), Fujian Agriculture and Forestry University, Fuzhou, China
- State and Local Joint Engineering Laboratory of Natural Biotoxins, Fujian Agriculture and Forestry University, Fuzhou, China
- *Correspondence: Peiying Shi, ; Hong Yao,
| | - Shihui Xie
- Department of Traditional Chinese Medicine Resource and Bee Products, College of Animal Sciences (College of Bee Science), Fujian Agriculture and Forestry University, Fuzhou, China
| | - Jiali Yang
- Department of Traditional Chinese Medicine Resource and Bee Products, College of Animal Sciences (College of Bee Science), Fujian Agriculture and Forestry University, Fuzhou, China
| | - Yi Zhang
- Department of Traditional Chinese Medicine Resource and Bee Products, College of Animal Sciences (College of Bee Science), Fujian Agriculture and Forestry University, Fuzhou, China
| | - Shuo Han
- Department of Traditional Chinese Medicine Resource and Bee Products, College of Animal Sciences (College of Bee Science), Fujian Agriculture and Forestry University, Fuzhou, China
| | - Songkun Su
- Department of Traditional Chinese Medicine Resource and Bee Products, College of Animal Sciences (College of Bee Science), Fujian Agriculture and Forestry University, Fuzhou, China
| | - Hong Yao
- Department of Pharmaceutical Analysis, School of Pharmacy, Fujian Medical University, Fuzhou, China
- *Correspondence: Peiying Shi, ; Hong Yao,
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Sugarbaker DJ, Haywood-Watson RJ, Wald O. Pneumonectomy for Non-Small Cell Lung Cancer. Surg Oncol Clin N Am 2018; 25:533-51. [PMID: 27261914 DOI: 10.1016/j.soc.2016.02.012] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Lung cancer is the leading cause of cancer deaths and its incidence continues to increase. Emerging therapies as part of a multimodal approach are making more patients eligible for surgical resection. As more surgeons are treating locally advanced non-small cell lung cancer they find themselves recommending pneumonectomy as the surgical component of the multidisciplinary plan. Performing a pneumonectomy is technically demanding and is associated with many potential perioperative comorbidities. With the proper preparation, experience, and attention to perioperative care, pneumonectomy can be carried out safely with excellent outcomes and a good quality of life.
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Affiliation(s)
- David J Sugarbaker
- Division of General Thoracic Surgery, Michael E. DeBakey Department of General Surgery, Lung Institute, Baylor College of Medicine, One Baylor Plaza MS390, Houston, TX 77030, USA.
| | - Ricky J Haywood-Watson
- Michael E. DeBakey Department of General Surgery, Baylor College of Medicine, One Baylor Plaza MS390, Houston, TX 77030, USA
| | - Ori Wald
- Division of General Thoracic Surgery, Michael E. DeBakey Department of General Surgery, Baylor College of Medicine, One Baylor Plaza MS390, Houston, TX 77030, USA
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Karimi-Busheri F, Rasouli-Nia A, Zadorozhny V, Fakhrai H. CD24+/CD38- as new prognostic marker for non-small cell lung cancer. Multidiscip Respir Med 2013; 8:65. [PMID: 24094028 PMCID: PMC3844723 DOI: 10.1186/2049-6958-8-65] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2013] [Accepted: 07/31/2013] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND Lung cancer is the leading cause of death among cancers in the world. The annual death toll due to this disease exceeds the combined deaths caused by colon, breast, prostate, and pancreatic cancers. As a result, there has been a tremendous effort to identify new biomarkers for early detection and diagnosis of lung cancer. METHODS In this study we report the results of screening a panel of eight non-small cell lung cancer (NSCLC) cell lines originating from different subtypes of lung cancer in an attempt to identify potential biomarkers unique to this disease. We used real-time polymerase chain reaction and flow cytometry techniques to analyze the expression of ALDHA1, EpCAM, CD133, CD24, and CD38 in this panel. RESULTS We demonstrate for the first time that the majority of NSCLC cells do not express levels of CD38 that would qualify it as a new biomarker for the disease. In contrast, we found that CD24 is over-expressed in 6 out of 8 of the cell lines. The combined CD24+/CD38-/low phenotype was detected in 50% of the cell lines that are also positive for CD133 and EpCAM. CONCLUSIONS We report that CD24+/CD38-/low signature could potentially be used as a new biomarker for the early detection of NSCLC.
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Estado actual del tratamiento del cáncer pulmonar. REVISTA MÉDICA CLÍNICA LAS CONDES 2013. [DOI: 10.1016/s0716-8640(13)70200-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
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