Novel Biomarkers in Non-small Cell Lung Cancer (NSCLC)

A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Cancer Biomarkers".

Deadline for manuscript submissions: 30 September 2024 | Viewed by 3621

Special Issue Editor


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Guest Editor
Department of Onco-Hematology, Division of Medical Oncology, Centro di Riferimento Oncologico della Basilicata, IRCCS, via Padre Pio 1, 85028 Rionero in Vulture, Italy
Interests: non-small-cell lung cancer; small-cell lung cancer; chemotherapy; immunotherapy; targeted therapies

Special Issue Information

Dear Colleagues,

Lung cancer, of which non-small cell lung cancer (NSCLC) represents about 80% of all cases, is the second most common cancer diagnosed in the general population and one of the leading causes of cancer-related death worldwide. As is well known, despite the advances in treatment of NSCLC, the outcomes of patients with advanced disease are still disappointing.

However, recent progress in molecular characterization, in addition to a better understanding of the immune context of the tumor, are dramatically changing the course of NSCLC patients. The advent of targeted therapies and of immunotherapies has been driven by the expanding number of biomarkers that can predict sensitivity to novel agents. In fact, all patients with advanced NSCLC now require a comprehensive screening of biomarkers to select patients for targeted therapy or immunotherapy with or without chemotherapy. Consequently, to meet current diagnostic demands, the adoption of new technologies, such as next-generation sequencing (NGS), has also been implemented.

This Special Issue, involving experts in the field, plans to offer an overview of recent advances in biomarker discovery in NSCLC, with particular emphasis on the use of technologies that are needed for their detection and on their applicability in clinical practice

Dr. Alfredo Tartarone
Guest Editor

Manuscript Submission Information

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Keywords

  • NSCLC
  • biomarkers
  • next-generation sequencing (NGS)
  • liquid biopsy
  • immunotherapy
  • targeted therapies

Published Papers (3 papers)

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Research

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16 pages, 1875 KiB  
Article
Combining Classic and Novel Neutrophil-Related Biomarkers to Identify Non-Small-Cell Lung Cancer
by Yunzhao Ren, Qinchuan Wang, Chenyang Xu, Qian Guo, Ruoqi Dai, Xiaohang Xu, Yuhao Zhang, Ming Wu, Xifeng Wu and Huakang Tu
Cancers 2024, 16(3), 513; https://doi.org/10.3390/cancers16030513 - 25 Jan 2024
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Abstract
Background: Recent studies have revealed that neutrophils play a crucial role in cancer progression. This study aimed to explore the diagnostic value of neutrophil-related biomarkers for non-small-cell lung cancer (NSCLC). Methods: We initially assessed the associations between classic neutrophil-related biomarkers (neutrophil-to-lymphocyte ratio (NLR), [...] Read more.
Background: Recent studies have revealed that neutrophils play a crucial role in cancer progression. This study aimed to explore the diagnostic value of neutrophil-related biomarkers for non-small-cell lung cancer (NSCLC). Methods: We initially assessed the associations between classic neutrophil-related biomarkers (neutrophil-to-lymphocyte ratio (NLR), absolute neutrophil counts (NEU), absolute lymphocyte counts (LYM)) and NSCLC in 3942 cases and 6791 controls. Then, we measured 11 novel neutrophil-related biomarkers via Luminex Assays in 132 cases and 66 controls, individually matching on sex and age (±5 years), and evaluated their associations with NSCLC risk. We also developed the predictive models by sequentially adding variables of interest and assessed model improvement. Results: Interleukin-6 (IL-6) (odds ratio (OR) = 10.687, 95% confidence interval (CI): 3.875, 29.473) and Interleukin 1 Receptor Antagonist (IL-1RA) (OR = 8.113, 95% CI: 3.182, 20.689) shows strong associations with NSCLC risk after adjusting for body mass index, smoking status, NLR, and carcinoembryonic antigen. Adding the two identified biomarkers to the predictive model significantly elevated the model performance from an area under the receiver operating characteristic curve of 0.716 to 0.851 with a net reclassification improvement of 97.73%. Conclusions: IL-6 and IL-1RA were recognized as independent risk factors for NSCLC, improving the predictive performance of the model in identifying disease. Full article
(This article belongs to the Special Issue Novel Biomarkers in Non-small Cell Lung Cancer (NSCLC))
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12 pages, 4039 KiB  
Article
Pretreatment Tumor Growth Rate and Radiological Response as Predictive Markers of Pathological Response and Survival in Patients with Resectable Lung Cancer Treated by Neoadjuvant Treatment
by Toulsie Ramtohul, Léa Challier, Vincent Servois and Nicolas Girard
Cancers 2023, 15(16), 4158; https://doi.org/10.3390/cancers15164158 - 17 Aug 2023
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Abstract
Introduction: Predictive biomarkers associated with pathological response, progression precluding surgery, and/or recurrence after surgery are needed for patients with resectable non-small cell lung carcinoma (NSCLC) treated by neoadjuvant treatment. We evaluated the clinical impact of the pretreatment tumor growth rate (TGR0) [...] Read more.
Introduction: Predictive biomarkers associated with pathological response, progression precluding surgery, and/or recurrence after surgery are needed for patients with resectable non-small cell lung carcinoma (NSCLC) treated by neoadjuvant treatment. We evaluated the clinical impact of the pretreatment tumor growth rate (TGR0) and radiological response for patients with resectable NSCLC treated with neoadjuvant therapies. Methods: Consecutive patients with resectable stage IB (≥4 cm) to IIIA NSCLC treated by neoadjuvant platinum-doublet chemotherapy with or without nivolumab at our tertiary center were retrospectively analyzed. TGR0 and RECIST objective responses were determined. Multivariable analyses identified independent predictors of event-free survival (EFS), overall survival (OS), and major pathological response (MPR). Results: Between November 2017 and December 2022, 32 patients (mean [SD] age, 63.8 [8.0] years) were included. At a median follow-up of 54.8 months (95% CI, 42.3–60.4 months), eleven patients (34%) experienced progression or recurrence, and twelve deaths (38%) were recorded. The TGR0 cutoff of 30%/month remained the only independent factor associated with EFS (HR = 0.04; 95% CI, 0.01–0.3; p = 0.003) and OS (HR = 0.2; 95% CI, 0.03–0.7; p = 0.01). The TGR0 cut-off had a mean time-dependent AUC of 0.83 (95% CI, 0.64–0.95) and 0.80 (95% CI, 0.62–0.97) for predicting EFS and OS, respectively. Fifteen of 26 resection cases (58%) showed MPR including nine with pathological complete responses (35%). Only the objective response of the primary tumor was associated with MPR (OR = 27.5; 95% CI, 2.6–289.1; p = 0.006). Conclusions: Assessment of TGR0 can identify patients who should benefit from neoadjuvant treatment. A tumor objective response might be a predictor of MPR after neoadjuvant treatment, which will help to adapt surgical management. Full article
(This article belongs to the Special Issue Novel Biomarkers in Non-small Cell Lung Cancer (NSCLC))
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Review

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17 pages, 704 KiB  
Review
Variant Allele Frequency Analysis of Circulating Tumor DNA as a Promising Tool in Assessing the Effectiveness of Treatment in Non-Small Cell Lung Carcinoma Patients
by Natalia Galant, Marcin Nicoś, Barbara Kuźnar-Kamińska and Paweł Krawczyk
Cancers 2024, 16(4), 782; https://doi.org/10.3390/cancers16040782 - 14 Feb 2024
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Abstract
Despite the different possible paths of treatment, lung cancer remains one of the leading causes of death in oncological patients. New tools guiding the therapeutic process are under scientific investigation, and one of the promising indicators of the effectiveness of therapy in patients [...] Read more.
Despite the different possible paths of treatment, lung cancer remains one of the leading causes of death in oncological patients. New tools guiding the therapeutic process are under scientific investigation, and one of the promising indicators of the effectiveness of therapy in patients with NSCLC is variant allele frequency (VAF) analysis. VAF is a metric characterized as the measurement of the specific variant allele proportion within a genomic locus, and it can be determined using methods based on NGS or PCR. It can be assessed using not only tissue samples but also ctDNA (circulating tumor DNA) isolated from liquid biopsy. The non-invasive characteristic of liquid biopsy enables a more frequent collection of material and increases the potential of VAF analysis in monitoring therapy. Several studies have been performed on patients with NSCLC to evaluate the possibility of VAF usage. The research carried out so far demonstrates that the evaluation of VAF dynamics may be useful in monitoring tumor progression, remission, and recurrence during or after treatment. Moreover, the use of VAF analysis appears to be beneficial in making treatment decisions. However, several issues require better understanding and standardization before VAF testing can be implemented in clinical practice. In this review, we discuss the difficulties in the application of ctDNA VAF analysis in clinical routine, discussing the diagnostic and methodological challenges in VAF measurement in liquid biopsy. We highlight the possible applications of VAF-based measurements that are under consideration in clinical trials in the monitoring of personalized treatments for patients with NSCLC. Full article
(This article belongs to the Special Issue Novel Biomarkers in Non-small Cell Lung Cancer (NSCLC))
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