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Shah AT, Blanchard I, Padda SK, Wakelee HA, Neal JW. Molecular Characteristics and Pretreatment Neutrophil-to-Lymphocyte Ratio as Predictors of Durable Clinical Benefit from Immune Checkpoint Inhibition in Non-Small Cell Lung Cancer. Clin Lung Cancer 2024; 25:550-559. [PMID: 38987048 PMCID: PMC11365775 DOI: 10.1016/j.cllc.2024.06.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2024] [Revised: 06/06/2024] [Accepted: 06/15/2024] [Indexed: 07/12/2024]
Abstract
BACKGROUND Prior research in non-small cell lung cancer (NSCLC) has shown that tumors with specific driver mutations may be less likely to respond to immune checkpoint inhibitors (ICI). In this analysis, we evaluated the characteristics of patients with durable clinical benefit (DCB) to ICI compared to those with no durable clinical benefit (NDB), with emphasis on the role of molecular alterations in EGFR, ALK, and ROS1 and pretreatment neutrophil-to-lymphocyte ratio (NLR). METHODS We retrospectively collected clinical characteristics and outcomes for patients who initiated ICI monotherapy for advanced NSCLC at Stanford University between April 2015 and May 2018. Patients were classified as having DCB if time on ICI therapy was greater than or equal to 180 days, or NDB if less than 180 days. Outcomes included best radiographic benefit while on ICI and survival from time of ICI initiation. RESULTS Of 123 patients treated with ICI for NSCLC, 28 patients had DCB (23%), while 95 had NDB (77%). Median overall survival from initiation of ICI in the 33 patients with molecular alterations in EGFR (n = 31), ALK, or ROS1 and NLR of 5.9 or higher was 2.0 months, compared to 8.1 months in patients with these genomic alterations and NLR less than 5.9. Median overall survival in patients without alterations in EGFR, ALK, or ROS1 and NLR of 5.9 or higher was 4.3 months, compared to 12.1 months in patients with NLR less than 5.9 (P = .023). CONCLUSIONS Elevation in pretreatment NLR was associated with significantly lower overall median survival from initiation of ICI, particularly when in combination with NSCLC with alterations in EGFR, ALK, or ROS1. This finding could influence clinical practice as NLR is readily available through routine blood testing.
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Affiliation(s)
| | - Isabelle Blanchard
- Department of Medicine, Division of Oncology, Stanford University, Stanford, CA
| | - Sukhmani K Padda
- Department of Hematology/Oncology, Fox Chase Cancer Center, Temple University, Philadelphia, PA
| | - Heather A Wakelee
- Department of Medicine, Division of Oncology, Stanford University, Stanford, CA
| | - Joel W Neal
- Department of Medicine, Division of Oncology, Stanford University, Stanford, CA.
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Koh YW, Hwang Y, Lee SK, Han JH, Haam S, Lee HW. The impact of CDCA5 expression on the immune microenvironment and its potential utility as a biomarker for PD-L1/PD-1 inhibitors in lung adenocarcinoma. Transl Oncol 2024; 46:102024. [PMID: 38838437 PMCID: PMC11214526 DOI: 10.1016/j.tranon.2024.102024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Revised: 04/24/2024] [Accepted: 06/01/2024] [Indexed: 06/07/2024] Open
Abstract
BACKGROUND Studies have highlighted the important role of cell division cycle associated 5 (CDCA5) in tumor-associated immune dysfunction. We studied immune dysfunction based on CDCA5 expression in lung adenocarcinoma and investigated its potential as a biomarker for patients undergoing anti-programmed death protein-1/ programmed death ligand-1 (PD-1/PD-L1) inhibitor therapy. METHODS We used the CIBERSORTx algorithm to investigate the immune cell distribution based on CDCA5 and explored its potential as a biomarker for PD-1/PD-L1 therapy using Tumor Immune Dysfunction and Exclusion in three lung adenocarcinoma datasets. Thus, we validated the role of CDCA5 as a biomarker in patients treated with PD-1/PD-L1 inhibitors. We also investigated the pathways through which CDCA5 regulates PD-L1 expression in a cell line. RESULTS The high CDCA5 expression group showed elevated interferon gamma signature, CD274 expression, CD8+ T cell levels, tumor mutation burden, and microsatellite instability. Higher CDCA5 expression was associated with poorer prognosis in patients not treated with PD-1/PD-L1 inhibitors. However, in patients treated with PD-1/PD-L1 inhibitors, higher CDCA5 expression correlated with better response rates and prognosis. CDCA5 expression positively correlated with inhibitory immune checkpoint molecules. CDCA5 regulated the expression of PD-L1 through the ANXA/AKT pathway, and combined suppression of CDCA5 and PD-L1 synergistically inhibited cell proliferation. CONCLUSIONS CDCA5 served as a promising biomarker for patients undergoing PD-L1/PD-1 inhibitor treatment, and co-inhibition of CDCA5 and PD-L1 could serve as an effective therapeutic strategy.
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Affiliation(s)
- Young Wha Koh
- Department of Pathology, Ajou University School of Medicine, 16499 Suwon-si, South Korea.
| | - Yoonjung Hwang
- Department of Pathology, Ajou University School of Medicine, 16499 Suwon-si, South Korea
| | - Seul-Ki Lee
- Department of Pathology, Ajou University School of Medicine, 16499 Suwon-si, South Korea
| | - Jae-Ho Han
- Department of Pathology, Ajou University School of Medicine, 16499 Suwon-si, South Korea
| | - Seokjin Haam
- Department of Thoracic and Cardiovascular Surgery, Ajou University School of Medicine, 16499 Suwon-si, South Korea
| | - Hyun Woo Lee
- Department of Hematology-Oncology, Ajou University School of Medicine, 16499 Suwon-si, South Korea
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Zhu Y, Wu X, Zhang Y, Gu J, Zhou R, Guo Z. Single cell transcriptomic analysis reveals tumor immune infiltration by NK cells gene signature in lung adenocarcinoma. Heliyon 2024; 10:e33928. [PMID: 39071697 PMCID: PMC11283104 DOI: 10.1016/j.heliyon.2024.e33928] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Revised: 06/28/2024] [Accepted: 06/30/2024] [Indexed: 07/30/2024] Open
Abstract
Background Natural Killer (NK) cells are vital components of the innate immune system, crucial for combating infections and tumor growth, making them pivotal in cancer prognosis and immunotherapy. We sought to understand the diverse characteristics of NK cells within lung adenocarcinoma (LUAD) by conducting single-cell RNA sequencing analyses. Methods Using the scRNA-seq dataset for multiple primary lung cancers (MPLCs), we examined two major NK cell groups, NK1 and NK2, comparing the expression profiles of 422 differentially expressed NK signature genes. We identified eight genes (SPON2, PLEKHG3, CAMK2N1, RAB27B, CTBP2, EFHD2, GOLM1, and PLOD1) that distinguish NK1 from NK2 cells. A prognostic signature, the NK gene signature (NKGS) score, was established through LASSO Cox regression. High NKGS scores were linked to poorer overall survival in TCGA-LUAD patients and consistently validated in other datasets (GSE31210 and GSE14814). Results Functional analysis revealed an enrichment of genes related to the TGF-β signaling pathway in the high NKGS score group. Moreover, a high NKGS score correlated with an immunosuppressive tumor microenvironment (TME) driven by immune evasion mechanisms. We also observed reduced T-cell receptor (TCR) repertoire diversity in the high-risk NKGS group, indicating a negative association between inflammation and risk score. Conclusion This study introduced the innovative NKGS score, differentiating NK1 from NK2 cells. High NKGS scores were associated with the TGF-β pathway and provided insights into LUAD prognosis and immune activities.
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Affiliation(s)
- Yimin Zhu
- Department of Pulmonary and Critical Care Medicine, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiuhua Wu
- Department of Pulmonary and Critical Care Medicine, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yunjiao Zhang
- Department of Pulmonary and Critical Care Medicine, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jie Gu
- Department of Pulmonary and Critical Care Medicine, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Rongwei Zhou
- Department of Pulmonary and Critical Care Medicine, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhong Guo
- Department of Pulmonary and Critical Care Medicine, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Kuempers C, Schnepf K, Marwitz S, Watermann C, Scheel AH, Fischer RN, Ammerpohl O, Perner S, Drömann D, Goldmann T. Upregulation and epigenetic modification of the creatine transporter SLC6A8 in non-small cell lung cancer. Histol Histopathol 2024; 39:867-876. [PMID: 38529720 DOI: 10.14670/hh-18-731] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/27/2024]
Abstract
INTRODUCTION Lung cancer is a major cause of cancer-related death worldwide and effective therapies, besides surgery, are available only for a small proportion of patients. Since cellular respiration is known to be broadly altered in malignant tumors, the cellular processes of respiration can be a potential therapeutic target. One important element of cellular respiration is creatine and its transport by the creatine transporter SLC6A8. Here we describe the expression of SLC6A8 at the RNA and protein level, epigenetic modifications as well as survival analysis in NSCLC tissues and matched controls. MATERIALS AND METHODS We analyzed epigenetic modifications of the SLC68A gene in 32 patients, of which 18 were additionally analyzed by transcriptome analysis. The expression of SLC6A8 at the protein level was assessed by immunohistochemistry using an independent cohort and correlated with clinicopathological data including survival. Kaplan-Meier analysis was performed to analyze the possible effects of the transcriptional levels of SLC6A8 in another separate cohort (n=1925). RESULTS SLC6A8 loci are epigenetically modified in NSCLC compared with tumor-free controls. SLC6A8 is upregulated in NSCLC at the RNA and protein level. High mRNA expression of SLC6A8 was associated with an overall poor prognosis in lung adenocarcinoma patients and displayed the strongest adverse prognostic effect in male smokers with adenocarcinomas. Results of transcriptome analysis were partially confirmed at the protein level. CONCLUSIONS Our results suggest an important role of creatine and its transport via SLC6A8 in NSCLC.
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Affiliation(s)
- Christiane Kuempers
- Institute of Pathology, University Hospital Schleswig-Holstein, Campus Luebeck, Luebeck, Germany.
- Airway Research Center North (ARCN), Member of the German Center for Lung Research (DZL), Großhansdorf, Germany
| | - Karoline Schnepf
- Medical Clinic III, Pulmonology, University Hospital Schleswig-Holstein, Campus Luebeck, Luebeck, Germany
| | - Sebastian Marwitz
- Airway Research Center North (ARCN), Member of the German Center for Lung Research (DZL), Großhansdorf, Germany
- Histology, Research Center Borstel-Leibniz Lung Center, Borstel, Germany
| | - Christian Watermann
- Institute of Pathology, University Hospital Schleswig-Holstein, Campus Luebeck, Luebeck, Germany
| | - Andreas H Scheel
- Institute of Pathology, University Hospital of Cologne, University of Cologne, Cologne, Germany
| | - Rieke N Fischer
- Lung Cancer Group Cologne, Department I for Internal Medicine and Center for Integrated Oncology Aachen Bonn Cologne Dusseldorf, Faculty of Medicine and University Hospital of Cologne, University of Cologne, Cologne, Germany
| | - Ole Ammerpohl
- Airway Research Center North (ARCN), Member of the German Center for Lung Research (DZL), Großhansdorf, Germany
- Institute of Human Genetics, University Medical Center Ulm, Ulm, Germany
| | - Sven Perner
- Institute for Hematopathology Hamburg, Hamburg, Germany
| | - Daniel Drömann
- Airway Research Center North (ARCN), Member of the German Center for Lung Research (DZL), Großhansdorf, Germany
- Medical Clinic III, Pulmonology, University Hospital Schleswig-Holstein, Campus Luebeck, Luebeck, Germany
| | - Torsten Goldmann
- Airway Research Center North (ARCN), Member of the German Center for Lung Research (DZL), Großhansdorf, Germany
- Histology, Research Center Borstel-Leibniz Lung Center, Borstel, Germany
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Bai B, An X, Qu Q, Liu X, Liu Y, Wei L. The clinical features and prognostic implications of the co-mutated TP53 gene in advanced non-small cell lung cancer. Clin Transl Oncol 2024:10.1007/s12094-024-03533-1. [PMID: 38872053 DOI: 10.1007/s12094-024-03533-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Accepted: 05/18/2024] [Indexed: 06/15/2024]
Abstract
BACKGROUND TP53 is a frequently mutated oncogene within non-small cell lung cancer (NSCLC). However, the clinical and prognostic significance of co-mutations in TP53 in patients with advanced NSCLC has not been fully elucidated. METHODS A total of 174 patients with advanced NSCLC were enrolled in this study. All patients were subjected to sequencing analysis of tumor-related genes and information such as PD-L1 expression, TMB, and co-mutation changes were collected. Patients were categorized into TP53 mutant and TP53 wild-type groups according to their TP53 mutation status and then statistically analyzed. RESULTS TP53 mutations were the most common among all patients, accounting for 56.32%, followed by epidermal growth factor receptor mutations at 48.27%. The most common mutation sites in the TP53 mutation group were exons 5-8.TP53 mutations were significantly associated with PD-L1 and TMB levels. Univariate Cox analysis showed that gender and EGFR mutation affected the prognosis of TP53-mutated NSCLC patients, and multivariate Cox regression analysis identified EGFR mutation as an independent risk factor. The OS of NSCLC patients in the TP53 mutation group was significantly shorter than that of the TP53wt group. Survival curves in the TP53/EGFR combined mutation group showed that patients with combined EGFR mutation had a lower survival rate. DISCUSSION TP53 mutations are associated with different clinical indicators and have important implications in clinical treatment. TP53 is a poor prognostic factor for NSCLC patients, and TP53/EGFR co-mutation will affect the survival time of patients. TP53/EGFR co-mutation may be a new prognostic marker for NSCLC.
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Affiliation(s)
- Bing Bai
- Tai'an City Central Hospital (Tai'an Central Hospital Affiliated to Qingdao University, Mount Taishan Medical Center), Tai'an, 271000, Shandong, China
| | - Xia An
- Department of Respiratory Medicine, The Second Affiliated Hospital of Shandong First Medical University, No. 336 Taishan Street, Taishan District, Tai'an, 271000, Shandong, China
| | - Qinghui Qu
- Yutai County People's Hospital, Jining, 272300, Shandong, China
| | - Xin Liu
- Department of Respiratory Medicine, The Second Affiliated Hospital of Shandong First Medical University, No. 336 Taishan Street, Taishan District, Tai'an, 271000, Shandong, China.
| | - Yuanyuan Liu
- Department of Respiratory Medicine, The Second Affiliated Hospital of Shandong First Medical University, No. 336 Taishan Street, Taishan District, Tai'an, 271000, Shandong, China
| | - Li Wei
- Department of Respiratory Medicine, The Second Affiliated Hospital of Shandong First Medical University, No. 336 Taishan Street, Taishan District, Tai'an, 271000, Shandong, China
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Sanaei MJ, Pourbagheri-Sigaroodi A, Rezvani A, Zaboli E, Salari S, Masjedi MR, Bashash D. Lung cancer vaccination from concept to reality: A critical review of clinical trials and latest advances. Life Sci 2024; 346:122652. [PMID: 38641048 DOI: 10.1016/j.lfs.2024.122652] [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: 12/24/2023] [Revised: 04/14/2024] [Accepted: 04/16/2024] [Indexed: 04/21/2024]
Abstract
Lung cancer is a highly lethal malignancy that poses a significant burden on public health worldwide. There have been numerous therapeutic approaches, among which cancer vaccines have emerged as a promising approach to harnessing the patient's immune system to induce long-lasting anti-tumor immunity. The current study aims to provide an overview of cancer vaccination in the context of lung cancer to establish a clearer landscape for lung cancer treatment. To provide a comprehensive review, we not only gathered the published studies of lung cancer vaccination and discussed their effectiveness and safety profile but also analyzed all the relevant clinical trials registered on www.clinicaltrials.gov until March 2024. We demonstrated all utilized vaccine platforms along with having a glance at novel technologies such as mRNA vaccines. The present review discussed the challenges and shortcomings of lung cancer vaccination, as well as the way they could be managed to pave the way for reaching the most optimized vaccine formulation.
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Affiliation(s)
- Mohammad-Javad Sanaei
- Department of Hematology and Blood Banking, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Atieh Pourbagheri-Sigaroodi
- Department of Hematology and Blood Banking, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Alireza Rezvani
- Department of Internal Medicine, Hematology Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Ehsan Zaboli
- Gastrointestinal Cancer Research Center, Mazandaran University of Medical Sciences, Sari, Iran
| | - Sina Salari
- Department of Medical Oncology-Hematology, Taleghani Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mohammad Reza Masjedi
- Cancer Control Research Center, Cancer Control Foundation, Iran University of Medical Sciences, Tehran, Iran; Department of Pulmonary Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Davood Bashash
- Department of Hematology and Blood Banking, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
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Shalata W, Maimon Rabinovich N, Agbarya A, Yakobson A, Dudnik Y, Abu Jama A, Cohen AY, Shalata S, Abu Hamed A, Ilan Ber T, Machluf O, Shoham Levin G, Meirovitz A. Efficacy of Pembrolizumab vs. Nivolumab Plus Ipilimumab in Metastatic NSCLC in Relation to PD-L1 and TMB Status. Cancers (Basel) 2024; 16:1825. [PMID: 38791905 PMCID: PMC11119071 DOI: 10.3390/cancers16101825] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Revised: 05/06/2024] [Accepted: 05/07/2024] [Indexed: 05/26/2024] Open
Abstract
The efficacy of immune checkpoint inhibitor (ICI) therapy concerning programmed death ligand 1 (PD-L1) status is well established in patients diagnosed with non-small cell lung cancer (NSCLC). However, there remains a paucity of evidence regarding the efficacy concerning tumor mutational burden (TMB) in both clinical trials and real-world data (RWD). In the current article, clinicopathological and molecular epidemiological data were meticulously collected, and treatment modalities were meticulously recorded. The final analysis included a study population of 194 patients. Median age was 67 years (range 37-86), with the majority being male (71.13%), and 85.71% of patients were either current or former smokers at diagnosis. Adenocarcinoma accounted for most diagnoses (71.65%), followed by squamous cell carcinoma (24.23%). In terms of PD-L1 status, 42.78% had an expression level below 1%, 28.35% had an expression between 1-49%, and 28.87% had an expression above 50%. The TMB ranged from 0 to 75, with a median of 10.31 (range 0-75) for PD-L1 expression below 1%, with a median of 9.73 (range 0.95-39.63) for PD-L1 expression between 1-49%, and a median of 9.72 (range 0.95-48) for PD-L1 expression above 50%. Corresponding to patients with low PDL-1 less than 1% and low TMB (0-5), the median overall survival (mOS) was 16 (p = 0.18), and 15 months (p = 0.22), patients with medium PDL-1 (1-49%) and medium TMB (5-10), the mOS was 15 (p = 0.18) and 16 months (p = 0.22), patients with high PDL-1 (>50) and high TMB (>10), the mOS was 24 (p = 0.18) and 21 (p = 0.22) months. This study represents the largest academic RWD dataset concerning PD-L1 and TMB status in patients with locally advanced and metastatic NSCLC.
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Affiliation(s)
- Walid Shalata
- The Legacy Heritage Cancer Center and Dr. Larry Norton Institute, Soroka Medical Center, Beer-Sheva 84105, Israel
- Medical School for International Health, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel
| | | | - Abed Agbarya
- Oncology Department, Bnai Zion Medical Center, Haifa 31048, Israel
| | - Alexander Yakobson
- The Legacy Heritage Cancer Center and Dr. Larry Norton Institute, Soroka Medical Center, Beer-Sheva 84105, Israel
- Medical School for International Health, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel
| | - Yulia Dudnik
- The Legacy Heritage Cancer Center and Dr. Larry Norton Institute, Soroka Medical Center, Beer-Sheva 84105, Israel
- Medical School for International Health, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel
| | - Ashraf Abu Jama
- The Legacy Heritage Cancer Center and Dr. Larry Norton Institute, Soroka Medical Center, Beer-Sheva 84105, Israel
- Medical School for International Health, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel
| | - Ahron Yehonatan Cohen
- The Legacy Heritage Cancer Center and Dr. Larry Norton Institute, Soroka Medical Center, Beer-Sheva 84105, Israel
- Medical School for International Health, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel
| | - Sondos Shalata
- Nutrition Unit, Galilee Medical Center, Nahariya 22000, Israel;
| | - Ahmad Abu Hamed
- The Legacy Heritage Cancer Center and Dr. Larry Norton Institute, Soroka Medical Center, Beer-Sheva 84105, Israel
| | | | | | | | - Amichay Meirovitz
- The Legacy Heritage Cancer Center and Dr. Larry Norton Institute, Soroka Medical Center, Beer-Sheva 84105, Israel
- Medical School for International Health, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel
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Li Y, Jiang B, Chen B, Zou Y, Wang Y, Liu Q, Song B, Yu B. Integrative analysis of bulk and single-cell RNA-seq reveals the molecular characterization of the immune microenvironment and oxidative stress signature in melanoma. Heliyon 2024; 10:e28244. [PMID: 38560689 PMCID: PMC10979206 DOI: 10.1016/j.heliyon.2024.e28244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2023] [Revised: 03/11/2024] [Accepted: 03/14/2024] [Indexed: 04/04/2024] Open
Abstract
Background The immune microenvironment and oxidative stress of melanoma show significant heterogeneity, which affects tumor growth, invasion and treatment response. Single-cell and bulk RNA-seq data were used to explore the heterogeneity of the immune microenvironment and oxidative stress of melanoma. Methods The R package Seurat facilitated the analysis of the single-cell dataset, while Harmony, another R package, was employed for batch effect correction. Cell types were classified using Uniform Manifold Approximation and Projection (UMAP). The Secreted Signaling algorithm from CellChatDB.human was applied to elucidate cell-to-cell communication patterns within the single-cell data. Consensus clustering analysis for the skin cutaneous melanoma (SKCM) samples was executed with the R package ConsensusClusterPlus. To quantify immune infiltrating cells, we utilized CIBERSORT, ESTIMATE, and TIMERxCell algorithms provided by the R package Immuno-Oncology Biological Research (IOBR). Single nucleotide variant (SNV) analysis was conducted using Maftools, an R package specifically designed for this purpose. Subsequently, the expression levels of PXDN and PAPSS2 genes were assessed in melanoma tissues compared to adjacent normal tissues. Furthermore, in vitro experiments were conducted to evaluate the proliferation and reactive oxygen species expression in melanoma cells following transfection with siRNA targeting PXDN and PAPSS2. Results Malignant tumor cell populations were reclassified based on a comprehensive single-cell dataset analysis, which yielded six distinct tumor subsets. The specific marker genes identified for these subgroups were then used to interrogate the Cancer Genome Atlas Skin Cutaneous Melanoma (TCGA-SKCM) cohort, derived from bulk RNA sequencing data, resulting in the delineation of two immune molecular subtypes. Notably, patients within the cluster2 (C2) subtype exhibited a significantly more favorable prognosis compared to those in the cluster1 (C1) subtype. An alignment of immune characteristics was observed between the C2 subtype and unique immune functional tumor cell subsets. Genes differentially expressed across these subtypes were subsequently leveraged to construct a predictive risk model. In vitro investigations further revealed elevated expression levels of PXDN and PAPSS2 in melanoma tissue samples. Functional assays indicated that modulation of PXDN and PAPSS2 expression could influence the production of reactive oxygen species (ROS) and the proliferative capacity of melanoma cells. Conclusion The constructed six-gene signature can be used as an immune response and an oxidative stress marker to guide the clinical diagnosis and treatment of melanoma.
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Affiliation(s)
- Yaling Li
- Department of Dermatology, Institute of Dermatology, Peking University Shenzhen Hospital, Shenzhen Peking University-The Hong Kong University of Science and Technology Medical Center, Shenzhen, 518036, China
- Institute of Biomedical and Health Engineering, Shen Zhen Institutes of Advanced Technology, Chinese Academy of Science, Shenzhen, 518055, Guangdong, China
- Department of Dermatology, the First Hospital of China Medical University, Shenyang, 110001, Liaoning, China
| | - Bin Jiang
- Department of Dermatology, Institute of Dermatology, Peking University Shenzhen Hospital, Shenzhen Peking University-The Hong Kong University of Science and Technology Medical Center, Shenzhen, 518036, China
| | - Bancheng Chen
- Department of Dermatology, Institute of Dermatology, Peking University Shenzhen Hospital, Shenzhen Peking University-The Hong Kong University of Science and Technology Medical Center, Shenzhen, 518036, China
| | - Yanfen Zou
- Department of Dermatology, Institute of Dermatology, Peking University Shenzhen Hospital, Shenzhen Peking University-The Hong Kong University of Science and Technology Medical Center, Shenzhen, 518036, China
| | - Yan Wang
- Institute of Biomedical and Health Engineering, Shen Zhen Institutes of Advanced Technology, Chinese Academy of Science, Shenzhen, 518055, Guangdong, China
| | - Qian Liu
- Institute of Biomedical and Health Engineering, Shen Zhen Institutes of Advanced Technology, Chinese Academy of Science, Shenzhen, 518055, Guangdong, China
| | - Bing Song
- Institute of Biomedical and Health Engineering, Shen Zhen Institutes of Advanced Technology, Chinese Academy of Science, Shenzhen, 518055, Guangdong, China
- Department of Dermatology, the First Hospital of China Medical University, Shenyang, 110001, Liaoning, China
| | - Bo Yu
- Department of Dermatology, Institute of Dermatology, Peking University Shenzhen Hospital, Shenzhen Peking University-The Hong Kong University of Science and Technology Medical Center, Shenzhen, 518036, China
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Yang J, Zhao Y, Yuan R, Wang Y, Wang S, Chang Z, Zhao W. Identifying individualized prognostic signature and unraveling the molecular mechanism of recurrence in early-onset colorectal cancer. Eur J Med Res 2023; 28:533. [PMID: 37986009 PMCID: PMC10658991 DOI: 10.1186/s40001-023-01491-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Accepted: 10/31/2023] [Indexed: 11/22/2023] Open
Abstract
BACKGROUND The incidence and mortality of early-onset colorectal cancer (EOCRC; < 50 years old) is increasing worldwide, with a high recurrence rate. The inherent heterogeneity of EOCRC makes its treatment challenging. Hence, to further understand the biology and reveal the molecular mechanisms of EOCRC, a recurrence risk signature is needed to guide clinical management. METHODS Based on the relative expression orderings (REOs) of genes in each sample, a prognostic signature was developed and validated utilizing multiple independent datasets. The underlying molecular mechanisms between distinct prognostic groups were explored via integrative analysis of multi-omics data. RESULTS The prognostic signature consisting of 6 gene pairs (6-GPS) could predict the recurrence risk for EOCRC at the individual level. High-risk EOCRC classified by 6-GPS showed a poor prognosis but a good response to adjuvant chemotherapy. Moreover, high-risk EOCRC was characterized by epithelial-mesenchymal transition (EMT) and enriched angiogenesis, and had higher mutation burden, immune cell infiltration, and PD-1/PD-L1 expression. Furthermore, we identified four genes associated with relapse-free survival in EOCRC, including SERPINE1, PECAM1, CDH1, and ANXA1. They were consistently differentially expressed at the transcriptome and proteome levels between high-risk and low-risk EOCRCs. They were also involved in regulating cancer progression and immune microenvironment in EOCRC. Notably, the expression of SERPINE1 and ANXA1 positively correlated with M2-like macrophage infiltration. CONCLUSION Our results indicate that 6-GPS can robustly predict the recurrence risk of EOCRC, and that SERPINE1, PECAM1, CDH1, and ANXA1 may serve as potential therapeutic targets. This study provides valuable information for the precision treatment of EOCRC.
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Affiliation(s)
- Jia Yang
- Department of Systems Biology, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150086, China
| | - Yuting Zhao
- Department of Systems Biology, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150086, China
| | - Rongqiang Yuan
- Department of Systems Biology, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150086, China
| | - Yongtong Wang
- Department of Systems Biology, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150086, China
| | - Shiyi Wang
- Department of Systems Biology, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150086, China
| | - Zhiqiang Chang
- Department of Systems Biology, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150086, China.
| | - Wenyuan Zhao
- Department of Systems Biology, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150086, China.
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10
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Pellini B, Madison RW, Childress MA, Miller ST, Gjoerup O, Cheng J, Huang RS, Krainock M, Gupta P, Zou W, Shames DS, Moshkevich S, Ballinger M, Liu MC, Young A, Srivastava MK, Oxnard GR, Socinski MA. Circulating Tumor DNA Monitoring on Chemo-immunotherapy for Risk Stratification in Advanced Non-Small Cell Lung Cancer. Clin Cancer Res 2023; 29:4596-4605. [PMID: 37702716 PMCID: PMC10643998 DOI: 10.1158/1078-0432.ccr-23-1578] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Revised: 07/21/2023] [Accepted: 09/08/2023] [Indexed: 09/14/2023]
Abstract
PURPOSE Chemoimmunotherapy (chemoIO) is a prevalent first-line treatment for advanced driver-negative non-small cell lung cancer (NSCLC), with maintenance therapy given after induction. However, there is significant clinical variability in the duration, dosing, and timing of maintenance therapy after induction chemoIO. We used circulating tumor DNA (ctDNA) monitoring to inform outcomes in patients with advanced NSCLC receiving chemoIO. EXPERIMENTAL DESIGN This retrospective study included 221 patients from a phase III trial of atezolizumab+carboplatin+nab-paclitaxel versus carboplatin+nab-paclitaxel in squamous NSCLC (IMpower131). ctDNA monitoring used the FoundationOne Tracker involving comprehensive genomic profiling of pretreatment tumor tissue, variant selection using an algorithm to exclude nontumor variants, and multiplex PCR of up to 16 variants to detect and quantify ctDNA. RESULTS ctDNA was detected (ctDNA+) in 96% of pretreatment samples (median, 93 mean tumor molecules/mL), and similar ctDNA dynamics were noted across treatment arms during chemoIO. ctDNA decrease from baseline to C4D1 was associated with improved outcomes across multiple cutoffs for patients treated with chemoIO. When including patients with missing plasma or ctDNA- at baseline, patients with ctDNA- at C4D1 (clearance), had more favorable progression-free survival (median 8.8 vs. 3.5 months; HR, 0.32;0.20-0.52) and OS (median not reached vs. 8.9 months; HR, 0.22; 0.12-0.39) from C4D1 than ctDNA+ patients. CONCLUSIONS ctDNA monitoring during induction chemoIO can inform treatment outcomes in patients with advanced NSCLC. Importantly, monitoring remains feasible and informative for patients missing baseline ctDNA. ctDNA testing during induction chemoIO identifies patients at higher risk for disease progression and may inform patient selection for novel personalized maintenance or second-line treatment strategies.
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Affiliation(s)
- Bruna Pellini
- Department of Thoracic Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
- Department of Oncologic Sciences, Morsani College of Medicine, University of South Florida, Tampa, Florida
| | | | | | | | - Ole Gjoerup
- Foundation Medicine, Inc., Cambridge, Massachusetts
| | - Jason Cheng
- Genentech, Inc., South San Francisco, California
| | | | | | | | - Wei Zou
- Genentech, Inc., South San Francisco, California
| | | | | | | | | | - Amanda Young
- Foundation Medicine, Inc., Cambridge, Massachusetts
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11
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Xu L, Wu P, Rong A, Li K, Xiao X, Zhang Y, Wu H. Systematic pan-cancer analysis identifies cuproptosis-related gene DLAT as an immunological and prognostic biomarker. Aging (Albany NY) 2023; 15:4269-4287. [PMID: 37199628 PMCID: PMC10258010 DOI: 10.18632/aging.204728] [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: 10/29/2022] [Accepted: 05/03/2023] [Indexed: 05/19/2023]
Abstract
Lipoylated dihydrolipoamide S-acetyltransferase (DLAT), the component E2 of the multi-enzyme pyruvate dehydrogenase complex, is one of the key molecules of cuproptosis. However, the prognostic value and immunological role of DLAT in pan-cancer are still unclear. Using a series of bioinformatics approaches, we studied combined data from different databases, including the Cancer Genome Atlas, Genotype Tissue-Expression, the Cancer Cell Line Encyclopedia, Human Protein Atlas, and cBioPortal to investigate the role of DLAT expression in prognosis and tumor immunity response. We also reveal the potential correlations between DLAT expression and gene alterations, DNA methylation, copy number variation (CNV), tumor mutational burden (TMB), microsatellite instability (MSI), tumor microenvironment (TME), immune infiltration levels, and various immune-related genes across different cancers. The results show that DLAT displays abnormal expression within most malignant tumors. Through gene set enrichment analysis (GSEA), we found that DLAT was significantly associated with immune-related pathways. Further, the expression of DLAT was also confirmed to be correlated with the tumor microenvironment and diverse infiltration of immune cells, especially tumor-associated macrophages (TAMs). In addition, we found that DLAT is co-expressed with genes encoding major histocompatibility complex (MHC), immunostimulators, immune inhibitors, chemokines, and chemokine receptors. Meanwhile, we demonstrate that DLAT expression is correlated with TMB in 10 cancers and MSI in 11 cancers. Our study reveals that DLAT plays an essential role in tumorigenesis and cancer immunity, which may be used to function as a prognostic biomarker and potential target for cancer immunotherapy.
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Affiliation(s)
- Lidong Xu
- Department of Gastroenterology, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou 450000, China
- Medical Key Laboratory for Diagnosis and Treatment of Colorectal Cancer in Henan Province, Zhengzhou 450000, China
- Zhengzhou Key Laboratory for Diagnosis, Treatment and Research of Colorectal Cancer, Zhengzhou 450000, China
| | - Peipei Wu
- Children’s Hospital Affiliated to Zhengzhou University, Zhengzhou 450000, China
| | - Aimei Rong
- Department of Gastroenterology, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou 450000, China
- Medical Key Laboratory for Diagnosis and Treatment of Colorectal Cancer in Henan Province, Zhengzhou 450000, China
- Zhengzhou Key Laboratory for Diagnosis, Treatment and Research of Colorectal Cancer, Zhengzhou 450000, China
| | - Kunkun Li
- Department of Gastroenterology, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou 450000, China
- Medical Key Laboratory for Diagnosis and Treatment of Colorectal Cancer in Henan Province, Zhengzhou 450000, China
- Zhengzhou Key Laboratory for Diagnosis, Treatment and Research of Colorectal Cancer, Zhengzhou 450000, China
| | - Xingguo Xiao
- Department of Gastroenterology, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou 450000, China
- Medical Key Laboratory for Diagnosis and Treatment of Colorectal Cancer in Henan Province, Zhengzhou 450000, China
- Zhengzhou Key Laboratory for Diagnosis, Treatment and Research of Colorectal Cancer, Zhengzhou 450000, China
| | - Yong Zhang
- Department of Gastroenterology, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou 450000, China
- Medical Key Laboratory for Diagnosis and Treatment of Colorectal Cancer in Henan Province, Zhengzhou 450000, China
- Zhengzhou Key Laboratory for Diagnosis, Treatment and Research of Colorectal Cancer, Zhengzhou 450000, China
| | - Huili Wu
- Department of Gastroenterology, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou 450000, China
- Medical Key Laboratory for Diagnosis and Treatment of Colorectal Cancer in Henan Province, Zhengzhou 450000, China
- Zhengzhou Key Laboratory for Diagnosis, Treatment and Research of Colorectal Cancer, Zhengzhou 450000, China
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12
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Mutlu H, Bozcuk H, Artaç M, Eser İ. First-line immune-checkpoint inhibitor treatment in extensive-disease small-cell lung cancer: A classical and network meta-analysis. J Cancer Res Ther 2023; 19:S6-S11. [PMID: 37147977 DOI: 10.4103/jcrt.jcrt_721_21] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/07/2023]
Abstract
Background Small-cell lung cancer (SCLC) has a poor prognosis. For the last 30 years, first-line systemic treatment has remained unaltered. After the integration of ımmunotherapy, a new first-line gold standard, atezolizumab in combination with carboplatin plus etoposide, was approved in extensive-disease SCLC (ED-SCLC) in 2019. Materials and Methods First-line randomized controlled studies that investigated anti-programmed cell death protein 1 (PD-1)/PD-1 ligand-1 (PD-L1) and anti-T-lymphocyte-associated protein 4 (CTLA-4) agents in combination with platinum plus etoposide (EP) were scoured. A total of six studies (two - anti-CTLA-4 and four - anti-PD1/PD-L1) were included and classic and network meta-analyses (NMAs) were performed. Results Fixed model for overall survival (OAS) in the PD-1- or PD-L1-treated subgroup yielded a hazard ratio (HR) of 0.746 with a 95% confidence interval (CI) =0.662-0.840 and in the CTLA-4-treated subgroup a HR of 0.941 with a 95% CI = 0.816-1.084 for the immune therapy + chemotherapy versus chemotherapy comparison (CTLA-4-based versus PD-1- or PD-L1-based groups' comparison of OAS effect Q = 6.05, df = 1, P = 0.014). NMA showed that all chemotherapy + immunotherapy combinations were equally potent and more efficient than PE in terms of OAS and progression-free survival (PFS). Rank probability plots demonstrated nivolumab + EP as the most probable effective treatment modality in terms of OAS and PFS. Conclusion The usage of anti-PD1/PD-L1 immunotherapy agents results in significant OAS advantage, and anti-PD1/PD-L1 agents are superior to anti-CTLA-4 approach in combination with platinum plus etoposide regimen in ED-SCLC.
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Affiliation(s)
- Hasan Mutlu
- Department of Oncology, Istinye University School of Medicine, Istanbul, Turkey
| | - Hakan Bozcuk
- Department of Oncology, Lara Medicalpark Hospital, Antalya, Turkey
| | - Mehmet Artaç
- Department of Oncology, Necmettin Erbakan University, Meram School of Medicine, Konya, Turkey
| | - İrfan Eser
- Department of Thoracic Surgery, Lara Medicalpark Hospital, Antalya, Turkey
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13
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Locke D, Hoyt CC. Companion diagnostic requirements for spatial biology using multiplex immunofluorescence and multispectral imaging. Front Mol Biosci 2023; 10:1051491. [PMID: 36845550 PMCID: PMC9948403 DOI: 10.3389/fmolb.2023.1051491] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Accepted: 01/16/2023] [Indexed: 02/11/2023] Open
Abstract
Immunohistochemistry has long been held as the gold standard for understanding the expression patterns of therapeutically relevant proteins to identify prognostic and predictive biomarkers. Patient selection for targeted therapy in oncology has successfully relied upon standard microscopy-based methodologies, such as single-marker brightfield chromogenic immunohistochemistry. As promising as these results are, the analysis of one protein, with few exceptions, no longer provides enough information to draw effective conclusions about the probability of treatment response. More multifaceted scientific queries have driven the development of high-throughput and high-order technologies to interrogate biomarker expression patterns and spatial interactions between cell phenotypes in the tumor microenvironment. Such multi-parameter data analysis has been historically reserved for technologies that lack the spatial context that is provided by immunohistochemistry. Over the past decade, technical developments in multiplex fluorescence immunohistochemistry and discoveries made with improving image data analysis platforms have highlighted the importance of spatial relationships between certain biomarkers in understanding a patient's likelihood to respond to, typically, immune checkpoint inhibitors. At the same time, personalized medicine has instigated changes in both clinical trial design and its conduct in a push to make drug development and cancer treatment more efficient, precise, and economical. Precision medicine in immuno-oncology is being steered by data-driven approaches to gain insight into the tumor and its dynamic interaction with the immune system. This is particularly necessary given the rapid growth in the number of trials involving more than one immune checkpoint drug, and/or using those in combination with conventional cancer treatments. As multiplex methods, like immunofluorescence, push the boundaries of immunohistochemistry, it becomes critical to understand the foundation of this technology and how it can be deployed for use as a regulated test to identify the prospect of response from mono- and combination therapies. To that end, this work will focus on: 1) the scientific, clinical, and economic requirements for developing clinical multiplex immunofluorescence assays; 2) the attributes of the Akoya Phenoptics workflow to support predictive tests, including design principles, verification, and validation needs; 3) regulatory, safety and quality considerations; 4) application of multiplex immunohistochemistry through lab-developed-tests and regulated in vitro diagnostic devices.
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Affiliation(s)
- Darren Locke
- Clinical Assay Development, Akoya Biosciences, Marlborough, MA, United States,*Correspondence: Darren Locke,
| | - Clifford C. Hoyt
- Translational and Scientific Affairs, Akoya Biosciences, Marlborough, MA, United States
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14
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Liu Z, Shan S, Yuan Z, Wu F, Zheng M, Wang Y, Gui J, Xu W, Wang C, Ren T, Wen Z. Mitophagy bridges DNA sensing with metabolic adaption to expand lung cancer stem-like cells. EMBO Rep 2023; 24:e54006. [PMID: 36416244 PMCID: PMC9900345 DOI: 10.15252/embr.202154006] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Revised: 11/01/2022] [Accepted: 11/09/2022] [Indexed: 11/24/2022] Open
Abstract
While previous studies have identified cancer stem-like cells (CSCs) as a crucial driver for chemoresistance and tumor recurrence, the underlying mechanisms for populating the CSC pool remain unclear. Here, we identify hypermitophagy as a feature of human lung CSCs, promoting metabolic adaption via the Notch1-AMPK axis to drive CSC expansion. Specifically, mitophagy is highly active in CSCs, resulting in increased mitochondrial DNA (mtDNA) content in the lysosome. Lysosomal mtDNA acts as an endogenous ligand for Toll-like receptor 9 (TLR9) that promotes Notch1 activity. Notch1 interacts with AMPK to drive lysosomal AMPK activation by inducing metabolic stress and LKB1 phosphorylation. This TLR9-Notch1-AMPK axis supports mitochondrial metabolism to fuel CSC expansion. In patient-derived xenograft chimeras, targeting mitophagy and TLR9-dependent Notch1-AMPK pathway restricts tumor growth and CSC expansion. Taken together, mitochondrial hemostasis is interlinked with innate immune sensing and Notch1-AMPK activity to increase the CSC pool of human lung cancer.
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Affiliation(s)
- Zhen Liu
- Jiangsu Key Laboratory of Infection and Immunity, Institutes of Biology and Medical SciencesSoochow UniversitySuzhouChina
| | - Shan Shan
- Department of Respiratory MedicineShanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of MedicineShanghaiChina
| | - Zixin Yuan
- Jiangsu Key Laboratory of Infection and Immunity, Institutes of Biology and Medical SciencesSoochow UniversitySuzhouChina
| | - Fengying Wu
- Department of Medical Oncology, Shanghai Pulmonary HospitalTongji University School of MedicineShanghaiChina
| | - Ming Zheng
- Jiangsu Key Laboratory of Infection and Immunity, Institutes of Biology and Medical SciencesSoochow UniversitySuzhouChina
| | - Ying Wang
- Jiangsu Key Laboratory of Infection and Immunity, Institutes of Biology and Medical SciencesSoochow UniversitySuzhouChina
| | - Jun Gui
- State Key Laboratory of Oncogenes and Related Genes; Renji‐Med X Clinical Stem Cell Research Center, Renji HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Wei Xu
- Jiangsu Key Laboratory of Infection and Immunity, Institutes of Biology and Medical SciencesSoochow UniversitySuzhouChina
| | - Chunhong Wang
- Cyrus Tang Hematology Center, Collaborative Innovation Center of Hematology of Jiangsu Province, State Key Laboratory of Radiation Medicine and ProtectionSoochow UniversitySuzhouChina
| | - Tao Ren
- Department of Respiratory MedicineShanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai Kay Laboratory of Sleep Disordered BreathingShanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of MedicineShanghaiChina
| | - Zhenke Wen
- Jiangsu Key Laboratory of Infection and Immunity, Institutes of Biology and Medical SciencesSoochow UniversitySuzhouChina
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15
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Oxidative Stress Response Biomarkers of Ovarian Cancer Based on Single-Cell and Bulk RNA Sequencing. OXIDATIVE MEDICINE AND CELLULAR LONGEVITY 2023; 2023:1261039. [PMID: 36743693 PMCID: PMC9897923 DOI: 10.1155/2023/1261039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Revised: 11/10/2022] [Accepted: 11/24/2022] [Indexed: 01/28/2023]
Abstract
Background The occurrence and development of ovarian cancer (OV) are significantly influenced by increased levels of oxidative stress (OS) byproducts and the lack of an antioxidant stress repair system. Hence, it is necessary to explore the markers related to OS in OV, which can aid in predicting the prognosis and immunotherapeutic response in patients with OV. Methods The single-cell RNA-sequencing (scRNA-seq) dataset GSE146026 was retrieved from the Gene Expression Omnibus (GEO) database, and Bulk RNA-seq data were obtained from TCGA and GTEx databases. The Seurat R package and SingleR package were used to analyze scRNA-seq and to identify OS response-related clusters based on ROS markers. The "limma" R package was used to identify the differentially expressed genes (DEGs) between normal and ovarian samples. The risk model was constructed using the least absolute shrinkage and selection operator (LASSO) regression analysis. The immune cell infiltration, genomic mutation, and drug sensitivity of the model were analyzed using the CIBERSORT algorithm, the "maftools," and the "pRRophetic" R packages, respectively. Results Based on scRNA-seq data, we identified 12 clusters; OS response-related genes had the strongest specificity for cluster 12. A total of 151 genes were identified from 2928 DEGs to be significantly correlated with OS response. Finally, nine prognostic genes were used to construct the risk score (RS) model. The risk score model was an independent prognostic factor for OV. The gene mutation frequency and tumor immune microenvironment in the high- and low-risk score groups were significantly different. The value of the risk score model in predicting immunotherapeutic outcomes was confirmed. Conclusions OS response-related RS model could predict the prognosis and immune responses in patients with OV and provide new strategies for cancer treatment.
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16
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Balážová K, Clevers H, Dost AFM. The role of macrophages in non-small cell lung cancer and advancements in 3D co-cultures. eLife 2023; 12:82998. [PMID: 36809334 PMCID: PMC9943070 DOI: 10.7554/elife.82998] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Accepted: 02/09/2023] [Indexed: 02/23/2023] Open
Abstract
Lung cancer (LC) is the leading cause of cancer-related deaths worldwide. Traditional therapeutic approaches such as chemotherapy or radiotherapy have provided only a marginal improvement in the treatment of lung carcinomas. Inhibitors targeting specific genetic aberrations present in non-small cell lung cancer (NSCLC), the most common subtype (85%), have improved the prognostic outlook, but due to the complexity of the LC mutational spectrum, only a fraction of patients benefit from these targeted molecular therapies. More recently, the realization that the immune infiltrate surrounding solid tumors can foster tumor-promoting inflammation has led to the development and implementation of anticancer immunotherapies in the clinic. In NSCLC, one of the most abundant leukocyte infiltrates is macrophages. These highly plastic phagocytes, which are part of the cellular repertoire of the innate immunity, can have a pivotal role in early NSCLC establishment, malignant progression, and tumor invasion. Emerging macrophage-targeting therapies have been focused on the re-differentiation of the macrophages toward an antitumorigenic phenotype, depletion of tumor-promoting macrophage subtypes, or combination therapies combining traditional cytotoxic treatments with immunotherapeutic agents. The most extensively used models employed for the exploration of NSCLC biology and therapy have been 2D cell lines and murine models. However, studying cancer immunology requires appropriately complex models. 3D platforms, including organoid models, are quickly advancing powerful tools to study immune cell-epithelial cell interactions within the tumor microenvironment. Co-cultures of immune cells along with NSCLC organoids allow for an in vitro observation of the tumor microenvironment dynamics closely resembling in vivo settings. Ultimately, the implementation of 3D organoid technology into tumor microenvironment-modeling platforms might facilitate the exploration of macrophage-targeted therapies in NSCLC immunotherapeutic research, thus establishing a new frontier in NSCLC treatment.
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Affiliation(s)
- Katarína Balážová
- Hubrecht Institute for Developmental Biology and Stem Cell Research-KNAW & University Medical Centre UtrechtUtrechtNetherlands,Oncode Institute, Hubrecht Institute-KNAWUtrechtNetherlands
| | - Hans Clevers
- Roche Pharma Research and early DevelopmentBaselSwitzerland
| | - Antonella FM Dost
- Hubrecht Institute for Developmental Biology and Stem Cell Research-KNAW & University Medical Centre UtrechtUtrechtNetherlands,Oncode Institute, Hubrecht Institute-KNAWUtrechtNetherlands
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17
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Recent Advances in DNA Vaccines against Lung Cancer: A Mini Review. Vaccines (Basel) 2022; 10:vaccines10101586. [PMID: 36298450 PMCID: PMC9612219 DOI: 10.3390/vaccines10101586] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 09/15/2022] [Accepted: 09/16/2022] [Indexed: 11/17/2022] Open
Abstract
Lung cancer is regarded as the major causes of patient death around the world. Although the novel tumor immunotherapy has made great progress in the past decades, such as utilizing immune checkpoint inhibitors or oncolytic viruses, the overall 5-year survival of patients with lung cancers is still low. Thus, development of effective vaccines to treat lung cancer is urgently required. In this regard, DNA vaccines are now considered as a promising immunotherapy strategy to activate the host immune system against lung cancer. DNA vaccines are able to induce both effective humoral and cellular immune responses, and they possess several potential advantages such as greater stability, higher safety, and being easier to manufacture compared to conventional vaccination. In the present review, we provide a global overview of the mechanism of cancer DNA vaccines and summarize the innovative neoantigens, delivery platforms, and adjuvants in lung cancer that have been investigated or approved. Importantly, we highlight the recent advance of clinical studies in the field of lung cancer DNA vaccine, focusing on their safety and efficacy, which might accelerate the personalized design of DNA vaccine against lung cancer.
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18
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Miao YR, Liu CJ, Hu H, Yang M, Guo AY. Biological Pathway-Derived TMB Robustly Predicts the Outcome of Immune Checkpoint Blockade Therapy. Cells 2022; 11:cells11182802. [PMID: 36139377 PMCID: PMC9496944 DOI: 10.3390/cells11182802] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 05/22/2022] [Accepted: 09/02/2022] [Indexed: 11/28/2022] Open
Abstract
Although immune checkpoint blockade (ICB) therapies have achieved great progress, the patient response varies among cancers. In this study, we analyzed the potential genomic indicators contributing to ICB therapy response. The results showed that high tumor mutation burden (TMB) failed to predict response in anti-PD1 treated melanoma. SERPINB3 was the most significant response-related gene in melanoma and mutations in either SERPINB3 or PEG3 can serve as an independent risk factor in melanoma. Some recurrent mutations in CSMD3 were only in responders or non-responders, indicating their diverse impacts on patient response. Enrichment scores (ES) of gene mutations in 12 biological pathways were significantly higher in responders or non-responders. Next, the P-TMB calculated from genes in these pathways was significantly related to patient response with prediction AUC 0.74–0.82 in all collected datasets. In conclusion, our work provides new insights into the application of TMB in predicting patient response, which will benefit to immunotherapy research.
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Affiliation(s)
- Ya-Ru Miao
- Center for Artificial Intelligence Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Chun-Jie Liu
- Center for Artificial Intelligence Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Hui Hu
- Center for Artificial Intelligence Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Mei Yang
- Center for Artificial Intelligence Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
| | - An-Yuan Guo
- Center for Artificial Intelligence Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
- Research Institute of Huazhong University of Science and Technology in Shenzhen, Shenzhen 518000, China
- Correspondence:
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19
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Classification of Muscle Invasive Bladder Cancer to Predict Prognosis of Patients Treated with Immunotherapy. J Immunol Res 2022; 2022:6737241. [PMID: 35677536 PMCID: PMC9170513 DOI: 10.1155/2022/6737241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Accepted: 05/03/2022] [Indexed: 12/03/2022] Open
Abstract
Background Recently, immunotherapies have been approved for advanced muscle invasive bladder cancer (MIBC) treatment, but only a small fraction of MIBC patients could achieve a durable drug response. Our study is aimed at identifying tumor microenvironment (TME) subtypes that have different immunotherapy response rates. Methods The mRNA expression profiles of MIBC samples from seven discovery datasets (GSE13507, GSE31684, GSE32548, GSE32894, GSE48075, GSE48276, and GSE69795) were analyzed to identify TME subtypes. The identified TME subtypes were then validated by an independent dataset (TCGA-MIBC). The subtype-related biomarkers were discovered using computational analyses and then utilized to establish a random forest predictive model. The associations of TME subtypes with immunotherapy therapeutic responses were investigated in a group of patients who had been treated with immunotherapy. A prognostic index model was constructed using the subtype-related biomarkers. Two nomograms were built by the subtype-related biomarkers or the clinical parameters. Results Two TME subtypes, including ECM-enriched class (EC) and immune-enriched class (IC), were found. EC was associated with greater extracellular matrix (ECM) pathways, and IC was correlated with immune pathways, respectively. Overall survival was significantly greater for tumors classified as IC, whereas the EC subtype had a worse prognosis. A total of nine genes (AKAP12, APOL3, CXCL13, CXCL9, GBP4, LRIG1, PEG3, PODN, and PTPRD) were selected by computational analyses to construct the random forest model. The area under the curve (AUC) values for this model were 0.827 and 0.767 in the testing and external validation datasets, respectively. Therapeutic response rates were greater in IC patients than in EC patients (28 percent vs. 18 percent). Patients with a high prognostic index had a poorer prognosis than those with a low prognostic index. The nomogram constructed from nine genes and stage achieved a C-index of 0.71. Conclusion The present investigation defined two distinct TME subtypes and developed models to assess immunotherapeutic treatment outcomes.
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Liao H, Zhang J, Zheng T, Liu X, Zhong J, Shao B, Dong X, Wang X, Du P, King BL, Jia S, Yu J, Li H. Identification of mutation patterns and circulating tumour DNA-derived prognostic markers in advanced breast cancer patients. J Transl Med 2022; 20:211. [PMID: 35562750 PMCID: PMC9101837 DOI: 10.1186/s12967-022-03421-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Accepted: 05/02/2022] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND The correlations between circulating tumour DNA (ctDNA)-derived genomic markers and treatment response and survival outcome in Chinese patients with advanced breast cancer (ABC) have not been extensively characterized. METHODS Blood samples from 141 ABC patients who underwent first-line standard treatment in Peking University Cancer Hospital were collected. A next-generation sequencing based liquid biopsy assay (PredicineCARE) was used to detect somatic mutations and copy number variations (CNVs) in ctDNA. A subset of matched blood samples and tumour tissue biopsies were compared to evaluate the concordance. RESULTS Overall, TP53 (44.0%) and PIK3CA (28.4%) were the top two altered genes. Frequent CNVs included amplifications of ERBB2 (24.8%) and FGFR1 (8.5%) and deletions of CDKN2A (3.5%). PIK3CA/TP53 and FGFR1/2/3 variants were associated with drug resistance in hormone receptor-positive (HR +) and human epidermal growth factor receptor 2-positive (HER2 +) patients. The comparison of genomic variants across matched tumour tissue and ctDNA samples revealed a moderate to high concordance that was gene dependent. Triple-negative breast cancer (TNBC) patients harbouring TP53 or PIK3CA alterations had a shorter overall survival than those without corresponding mutations (P = 0.03 and 0.008). A high ctDNA fraction was correlated with a shorter progression-free survival (PFS) (P = 0.005) in TNBC patients. High blood-based tumor mutation burden (bTMB) was associated with a shorter PFS for HER2 + and TNBC patients (P = 0.009 and 0.05). Moreover, disease monitoring revealed several acquired genomic variants such as ESR1 mutations, CDKN2A deletions, and FGFR1 amplifications. CONCLUSIONS This study revealed the molecular profiles of Chinese patients with ABC and the clinical validity of ctDNA-derived markers, including the ctDNA fraction and bTMB, for predicting treatment response, prognosis, and disease progression. TRIAL REGISTRATION ClinicalTrials.gov ID: NCT03792529. Registered January 3rd 2019, https://clinicaltrials.gov/ct2/show/NCT03792529 .
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Affiliation(s)
- Hao Liao
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Breast Oncology, Peking University Cancer Hospital & Institute, 52 Fucheng Rd, Beijing, 100142, China
| | - Jiayang Zhang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Breast Oncology, Peking University Cancer Hospital & Institute, 52 Fucheng Rd, Beijing, 100142, China
| | - Tiantian Zheng
- Huidu Shanghai Medical Sciences Ltd, Shanghai, 201499, China
| | - Xiaoran Liu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Breast Oncology, Peking University Cancer Hospital & Institute, 52 Fucheng Rd, Beijing, 100142, China
| | - Jianxin Zhong
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Breast Oncology, Peking University Cancer Hospital & Institute, 52 Fucheng Rd, Beijing, 100142, China
| | - Bin Shao
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Breast Oncology, Peking University Cancer Hospital & Institute, 52 Fucheng Rd, Beijing, 100142, China
| | - Xiaoxi Dong
- Huidu Shanghai Medical Sciences Ltd, Shanghai, 201499, China
| | - Xiaohong Wang
- Huidu Shanghai Medical Sciences Ltd, Shanghai, 201499, China
| | - Pan Du
- Huidu Shanghai Medical Sciences Ltd, Shanghai, 201499, China
| | - Bonnie L King
- Huidu Shanghai Medical Sciences Ltd, Shanghai, 201499, China
| | - Shidong Jia
- Huidu Shanghai Medical Sciences Ltd, Shanghai, 201499, China
| | - Jianjun Yu
- Huidu Shanghai Medical Sciences Ltd, Shanghai, 201499, China
| | - Huiping Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Breast Oncology, Peking University Cancer Hospital & Institute, 52 Fucheng Rd, Beijing, 100142, China.
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21
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Immune Checkpoint Inhibitors in Cancer Therapy. Curr Oncol 2022; 29:3044-3060. [PMID: 35621637 PMCID: PMC9139602 DOI: 10.3390/curroncol29050247] [Citation(s) in RCA: 336] [Impact Index Per Article: 168.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 04/20/2022] [Accepted: 04/20/2022] [Indexed: 11/17/2022] Open
Abstract
The discovery of immune checkpoint proteins such as PD-1/PDL-1 and CTLA-4 represents a significant breakthrough in the field of cancer immunotherapy. Therefore, humanized monoclonal antibodies, targeting these immune checkpoint proteins have been utilized successfully in patients with metastatic melanoma, renal cell carcinoma, head and neck cancers and non-small lung cancer. The US FDA has successfully approved three different categories of immune checkpoint inhibitors (ICIs) such as PD-1 inhibitors (Nivolumab, Pembrolizumab, and Cemiplimab), PDL-1 inhibitors (Atezolimumab, Durvalumab and Avelumab), and CTLA-4 inhibitor (Ipilimumab). Unfortunately, not all patients respond favourably to these drugs, highlighting the role of biomarkers such as Tumour mutation burden (TMB), PDL-1 expression, microbiome, hypoxia, interferon-γ, and ECM in predicting responses to ICIs-based immunotherapy. The current study aims to review the literature and updates on ICIs in cancer therapy.
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22
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Abstract
This overview of the molecular pathology of lung cancer includes a review of the most salient molecular alterations of the genome, transcriptome, and the epigenome. The insights provided by the growing use of next-generation sequencing (NGS) in lung cancer will be discussed, and interrelated concepts such as intertumor heterogeneity, intratumor heterogeneity, tumor mutational burden, and the advent of liquid biopsy will be explored. Moreover, this work describes how the evolving field of molecular pathology refines the understanding of different histologic phenotypes of non-small-cell lung cancer (NSCLC) and the underlying biology of small-cell lung cancer. This review will provide an appreciation for how ongoing scientific findings and technologic advances in molecular pathology are crucial for development of biomarkers, therapeutic agents, clinical trials, and ultimately improved patient care.
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Affiliation(s)
- James J Saller
- Departments of Pathology and Thoracic Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida 33612, USA
| | - Theresa A Boyle
- Departments of Pathology and Thoracic Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida 33612, USA
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23
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Dong C, Reiter JL, Dong E, Wang Y, Lee KP, Lu X, Liu Y. Intron-Retention Neoantigen Load Predicts Favorable Prognosis in Pancreatic Cancer. JCO Clin Cancer Inform 2022; 6:e2100124. [PMID: 35148169 PMCID: PMC8846286 DOI: 10.1200/cci.21.00124] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Revised: 11/19/2021] [Accepted: 01/03/2022] [Indexed: 01/10/2023] Open
Abstract
PURPOSE High tumor mutation burden (TMB) in many cancer types is associated with the production of tumor-specific neoantigens, a favorable outcome and response to immune checkpoint blockade (ICB) therapy. Besides mutation-derived neoantigens, aberrant intron retention also produces tumor neopeptides that could trigger an immune response. The relationship between intron-retention-derived tumor neoantigens (IR-neoAg) and clinical outcomes in pancreatic cancer remains uncertain. Here, we quantify IR-neoAg in pancreatic cancer and evaluate whether IR-neoAg load might serve as a biomarker for selecting patients who may benefit from ICB therapy. METHODS We developed a computational approach to estimate patient-specific IR-neoAg load from transcriptome data available in The Cancer Genome Atlas pancreatic cancer cohort. Associations between IR-neoAg load and patient overall survival were evaluated using Kaplan-Meier estimates and Cox regression. Differential expression of immune checkpoint and HLA-I genes was evaluated in tumors with high IR-neoAg load. RESULTS High IR-neoAg load predicted better overall survival in pancreatic cancer, although no association was found for TMB. IR-neoAg load remained a significant prognostic factor after adjusting for patient age, sex, tumor stage and grade, and TMB. Moreover, pancreatic tumors with both high IR-neoAg load and high HLA-I gene expression had similar gene expression profiles as other tumor types that showed response to anti-programmed cell death protein 1 therapy. CONCLUSION IR-neoAg load is associated with favorable survival in pancreatic cancer. These findings provide strong evidence for considering IR-neoAgs when selecting patients who might benefit from ICB therapy.
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Affiliation(s)
- Chuanpeng Dong
- Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN
- Department of BioHealth Informatics, School of Informatics and Computing, Indiana University-Purdue University Indianapolis, Indianapolis, IN
| | - Jill L. Reiter
- Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
| | - Edward Dong
- Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN
| | - Yue Wang
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
| | - Kelvin P. Lee
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN
- Melvin and Bren Simon Comprehensive Cancer Center, Indiana University School of Medicine, Indianapolis, IN
| | - Xiongbin Lu
- Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
- Melvin and Bren Simon Comprehensive Cancer Center, Indiana University School of Medicine, Indianapolis, IN
| | - Yunlong Liu
- Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN
- Department of BioHealth Informatics, School of Informatics and Computing, Indiana University-Purdue University Indianapolis, Indianapolis, IN
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
- Melvin and Bren Simon Comprehensive Cancer Center, Indiana University School of Medicine, Indianapolis, IN
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24
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Wang X, Chen M, Liang X, Bai Y, Zeng J, Xu X, Li H, Wang J, Fan K, Zhao G. RNF135 Promoter Methylation Is Associated With Immune Infiltration and Prognosis in Hepatocellular Carcinoma. Front Oncol 2022; 11:752511. [PMID: 35145901 PMCID: PMC8821516 DOI: 10.3389/fonc.2021.752511] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Accepted: 12/16/2021] [Indexed: 12/02/2022] Open
Abstract
RING finger protein 135 has an important role in the occurrence of many cancers; however its regulation and function of RNF135 in hepatocellular carcinoma remains unknown. The promoter methylation status and mRNA expression of RNF135 was evaluated by methylation-specific PCR, semi-quantitative RT-PCR, and real-time quantitative PCR in HCC tissues and cell lines, and further analyzed from The Cancer Genome Atlas database. Wound healing assay, transwell migration, cell viability, and colony formation assay were performed to investigate the function of RNF135. GSEA analysis, TIMER database, and ESTIMATE algorithm were used to decipher the associated pathway and immune infiltration. The survival analysis was applied to assess the prognostic value of RNF135. RNF135 expression was downregulated in HCC tissues and 5 of 8 HCC cell lines, and was negatively correlated with its promoter hypermethylation. Demethylating regent decitabine restored RNF135 expression on the cellular level. Knockdown of RNF135 expression enhanced the migration of HCC cells, while RNF135 overexpression and decitabine treatment repressed cell migration. Bioinformatics analysis and immunohistochemistry revealed a positive relationship between RNF135 expression and six immune cell infiltrates (B cells, CD4+ T cells, CD8+ T cells, neutrophils, macrophages, and dendritic cells). Survival analysis disclosed that RNF135 hypermethylation is independently associated with poor clinical outcomes in HCC. Decreased RNF135 expression driven by promoter hypermethylation frequently occurred in HCC and associated with prognosis of HCC. RNF135 functions as a tumor suppressor and is involved in tumor immune microenvironment in HCC.
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Affiliation(s)
- Xiao Wang
- Inner Mongolia Key Laboratory of Endoscopic Digestive Diseases, Endoscopy Center, Inner Mongolia People’s Hospital, Hohhot, China
| | - Mengke Chen
- Institute of Precision Medicine, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Xiong Liang
- Inner Mongolia Key Laboratory of Endoscopic Digestive Diseases, Endoscopy Center, Inner Mongolia People’s Hospital, Hohhot, China
| | - Yu Bai
- Inner Mongolia Key Laboratory of Endoscopic Digestive Diseases, Endoscopy Center, Inner Mongolia People’s Hospital, Hohhot, China
| | - Judeng Zeng
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Xiaoyi Xu
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Hao Li
- Inner Mongolia Key Laboratory of Endoscopic Digestive Diseases, Endoscopy Center, Inner Mongolia People’s Hospital, Hohhot, China
| | - Jing Wang
- Department of Clinical Medicine, The First Bethune Hospital of Jilin University, Changchun, China
| | - Keyu Fan
- Anesthesiology, Dalian Medical University, Dalian, China
| | - Guijun Zhao
- Inner Mongolia Key Laboratory of Endoscopic Digestive Diseases, Endoscopy Center, Inner Mongolia People’s Hospital, Hohhot, China
- *Correspondence: Guijun Zhao,
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25
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Takada K, Takamori S, Shimokawa M, Toyokawa G, Shimamatsu S, Hirai F, Tagawa T, Okamoto T, Hamatake M, Tsuchiya-Kawano Y, Otsubo K, Inoue K, Yoneshima Y, Tanaka K, Okamoto I, Nakanishi Y, Mori M. Assessment of the albumin-bilirubin grade as a prognostic factor in patients with non-small-cell lung cancer receiving anti-PD-1-based therapy. ESMO Open 2021; 7:100348. [PMID: 34942439 PMCID: PMC8695291 DOI: 10.1016/j.esmoop.2021.100348] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2021] [Revised: 09/28/2021] [Accepted: 11/20/2021] [Indexed: 02/08/2023] Open
Abstract
Introduction The albumin-bilirubin (ALBI) grade is a novel indicator of the liver function. Some studies showed that the ALBI grade was a prognostic and predictive biomarker for the efficacy of chemotherapy in cancer patients. The association between the ALBI grade and outcomes in patients with non-small-cell lung cancer (NSCLC) treated with cancer immunotherapy, however, is poorly understood. Methods We retrospectively enrolled 452 patients with advanced or recurrent NSCLC who received anti-programmed cell death protein 1 (PD-1)-based therapy between 2016 and 2019 at three medical centers in Japan. The ALBI score was calculated from albumin and bilirubin measured at the time of treatment initiation and was stratified into three categories, ALBI grade 1-3, with reference to previous reports. We examined the clinical impact of the ALBI grade on the outcomes of NSCLC patients receiving anti-PD-1-based therapy using Kaplan–Meier survival curve analysis with log-rank test and Cox proportional hazards regression analysis. Results The classifications of the 452 patients were as follows: grade 1, n = 158 (35.0%); grade 2, n = 271 (60.0%); and grade 3, n = 23 (5.0%). Kaplan–Meier survival curve analysis showed that the ALBI grade was significantly associated with progression-free survival and overall survival. Moreover, Cox regression analysis revealed that the ALBI grade was an independent prognostic factor for progression-free survival and overall survival. Conclusion The ALBI grade was an independent prognostic factor for survival in patients with advanced or recurrent NSCLC who receive anti-PD-1-based therapy. These findings should be validated in a prospective study with a larger sample size. ALBI grade is calculated from albumin and bilirubin. We evaluated the impact of ALBI grade on survival in NSCLC patients receiving immune checkpoint inhibitors. ALBI grade was an independent prognostic factor for progression-free survival (PFS) and overall survival (OS). ALBI grade effectively stratified PFS and OS in patients with performance status 1-3. ALBI grade was significantly associated with PFS and OS, regardless of programmed death ligand-1.
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Affiliation(s)
- K Takada
- Department of Thoracic Surgery, Kitakyushu Municipal Medical Center, Kitakyushu, Fukuoka, Japan.
| | - S Takamori
- Department of Thoracic Oncology, National Hospital Organization Kyushu Cancer Center, Fukuoka, Japan.
| | - M Shimokawa
- Department of Biostatistics, Yamaguchi University Graduate School of Medicine, Yamaguchi, Japan; Clinical Research Institute, National Hospital Organization Kyushu Cancer Center, Fukuoka, Japan
| | - G Toyokawa
- Department of Thoracic Surgery, National Hospital Organization Kyushu Medical Center, Fukuoka, Japan
| | - S Shimamatsu
- Department of Thoracic Surgery, Kitakyushu Municipal Medical Center, Kitakyushu, Fukuoka, Japan
| | - F Hirai
- Department of Thoracic Surgery, Kitakyushu Municipal Medical Center, Kitakyushu, Fukuoka, Japan
| | - T Tagawa
- Department of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - T Okamoto
- Department of Thoracic Oncology, National Hospital Organization Kyushu Cancer Center, Fukuoka, Japan
| | - M Hamatake
- Department of Thoracic Surgery, Kitakyushu Municipal Medical Center, Kitakyushu, Fukuoka, Japan
| | - Y Tsuchiya-Kawano
- Department of Respiratory Medicine, Kitakyushu Municipal Medical Center, Kitakyushu, Fukuoka, Japan
| | - K Otsubo
- Department of Respiratory Medicine, Kitakyushu Municipal Medical Center, Kitakyushu, Fukuoka, Japan
| | - K Inoue
- Department of Respiratory Medicine, Kitakyushu Municipal Medical Center, Kitakyushu, Fukuoka, Japan
| | - Y Yoneshima
- Research Institute for Diseases of the Chest, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - K Tanaka
- Research Institute for Diseases of the Chest, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - I Okamoto
- Research Institute for Diseases of the Chest, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Y Nakanishi
- Department of Respiratory Medicine, Kitakyushu Municipal Medical Center, Kitakyushu, Fukuoka, Japan
| | - M Mori
- Department of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
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26
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Wiest N, Majeed U, Seegobin K, Zhao Y, Lou Y, Manochakian R. Role of Immune Checkpoint Inhibitor Therapy in Advanced EGFR-Mutant Non-Small Cell Lung Cancer. Front Oncol 2021; 11:751209. [PMID: 34868953 PMCID: PMC8634952 DOI: 10.3389/fonc.2021.751209] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Accepted: 10/28/2021] [Indexed: 12/25/2022] Open
Abstract
Over the last decade, the treatment of advanced non-small cell lung cancer (NSCLC) has undergone rapid changes with innovations in oncogene-directed therapy and immune checkpoint inhibitors. In patients with epidermal growth factor receptor (EGFR) gene mutant (EGFRm) NSCLC, newer-generation tyrosine kinase inhibitors (TKIs) are providing unparalleled survival benefit and tolerability. Unfortunately, most patients will experience disease progression and thus an urgent need exists for improved subsequent lines of therapies. The concurrent revolution in immune checkpoint inhibitor (ICI) therapy is providing novel treatment options with improved clinical outcomes in wild-type EGFR (EGFRwt) NSCLC; however, the application of ICI therapy to advanced EGFRm NSCLC patients is controversial. Early studies demonstrated the inferiority of ICI monotherapy to EGFR TKI therapy in the first line setting and inferiority to chemotherapy in the second line setting. Additionally, combination ICI and EGFR TKI therapies have demonstrated increased toxicities, and EGFR TKI therapy given after first-line ICI therapy has been correlated with severe adverse events. Nonetheless, combination therapies including dual-ICI blockade and ICI, chemotherapy, and angiogenesis inhibitor combinations are areas of active study with some intriguing signals in preliminary studies. Here, we review previous and ongoing clinical studies of ICI therapy in advanced EGFRm NSCLC. We discuss advances in understanding the differences in the tumor biology and tumor microenvironment (TME) of EGFRm NSCLC tumors that may lead to novel approaches to enhance ICI efficacy. It is our goal to equip the reader with a knowledge of current therapies, past and current clinical trials, and active avenues of research that provide the promise of novel approaches and improved outcomes for patients with advanced EGFRm NSCLC.
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Affiliation(s)
- Nathaniel Wiest
- Department of Internal Medicine, Mayo Clinic, Jacksonville, FL, United States
| | - Umair Majeed
- Division of Hematology and Oncology, Department of Internal Medicine, Mayo Clinic, Jacksonville, FL, United States
| | - Karan Seegobin
- Division of Hematology and Oncology, Department of Internal Medicine, Mayo Clinic, Jacksonville, FL, United States
| | - Yujie Zhao
- Division of Hematology and Oncology, Department of Internal Medicine, Mayo Clinic, Jacksonville, FL, United States
| | - Yanyan Lou
- Division of Hematology and Oncology, Department of Internal Medicine, Mayo Clinic, Jacksonville, FL, United States
| | - Rami Manochakian
- Division of Hematology and Oncology, Department of Internal Medicine, Mayo Clinic, Jacksonville, FL, United States
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27
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Cho JW, Park S, Kim G, Han H, Shim HS, Shin S, Bae YS, Park SY, Ha SJ, Lee I, Kim HR. Dysregulation of T FH-B-T RM lymphocyte cooperation is associated with unfavorable anti-PD-1 responses in EGFR-mutant lung cancer. Nat Commun 2021; 12:6068. [PMID: 34663810 PMCID: PMC8523541 DOI: 10.1038/s41467-021-26362-0] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2020] [Accepted: 09/29/2021] [Indexed: 12/26/2022] Open
Abstract
Patients with non-small cell lung cancer (NSCLC) with epidermal growth factor receptor (EGFR) mutations exhibit an unfavorable response to PD-1 inhibitor through unclear mechanisms. Hypothesizing that EGFR mutations alter tumor-immune interactions, we compare tumor-infiltrating lymphocytes between EGFR mutant (EGFR-MT) and wild type (EGFR-WT) tumors through single-cell transcriptomic analysis. We find that B cells, CXCL13-producing follicular helper CD4+ T (TFH)-like cells, and tissue-resident memory CD8+ T (TRM)-like cells decreased in EGFR-MT tumors. The NOTCH-RBPJ regulatory network, which is vital for persistence of TRM state, is perturbed, and the interactions between TFH and B cells through the CXCL13-CXCR5 axis disappear in EGFR-MT tumors. Notably, the proportion of TRM-like cells is predictive for anti-PD-1 response in NSCLC. Our findings suggest that the impairment of TFH-B-TRM cooperation in tertiary lymphoid structure formation, accompanied by the dysregulation of TRM homeostasis and the loss of TFH-B crosstalk, underlies unfavorable anti-PD-1 response in EGFR-MT lung tumors.
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Affiliation(s)
- Jae-Won Cho
- Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul, 03722, Korea
| | - Seyeon Park
- Department of Biochemistry, College of Life Science and Biotechnology, Yonsei University, Seoul, 03722, Korea
| | - Gamin Kim
- Division of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, 03722, Korea
| | - Heonjong Han
- Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul, 03722, Korea
| | - Hyo Sup Shim
- Department of Pathology, Yonsei University College of Medicine, Seoul, 03722, Korea
| | - Sunhye Shin
- Division of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, 03722, Korea
| | - Yong-Soo Bae
- Department of Biological Sciences, Science Research Center (SRC) for Immune Research on Non-lymphoid Organ (CIRNO), Sungkyunkwan University, Jangan-gu, Suwon, Gyeonggi-do, 16419, Korea
| | - Seong Yong Park
- Department of Thoracic and Cardiovascular Surgery, Yonsei University College of Medicine, Seoul, 03722, Korea.
| | - Sang-Jun Ha
- Department of Biochemistry, College of Life Science and Biotechnology, Yonsei University, Seoul, 03722, Korea.
| | - Insuk Lee
- Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul, 03722, Korea.
| | - Hye Ryun Kim
- Division of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, 03722, Korea.
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28
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Wu R, Tang W, Qiu K, Li P, Li Y, Li D, He Z. An Integrative Pan-Cancer Analysis of the Prognostic and Immunological Role of Casein Kinase 2 Alpha Protein 1 (CSNK2A1) in Human Cancers: A Study Based on Bioinformatics and Immunohistochemical Analysis. Int J Gen Med 2021; 14:6215-6232. [PMID: 34621130 PMCID: PMC8487869 DOI: 10.2147/ijgm.s330500] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Accepted: 09/21/2021] [Indexed: 11/25/2022] Open
Abstract
Background Although emerging animal- or cell-based evidence supports the relationship between casein kinase 2 alpha protein 1 (CSNK2A1) and cancers, no pan-cancer analysis is available. Thus, this report aimed to display the prognostic landscape of CSNK2A1 in pan-cancer and investigate the relationship between CSNK2A1 and tumor immunity. Methods In the current study, we investigated the expression pattern, genetic alterations and survival analysis of CSNK2A1 in pan-cancer across multiple datasets and online platforms. The correlations between CSNK2A1 expression and tumor immunity were explored and visualized via R language software. Following this, immunohistochemical (IHC) staining and Kaplan–Meier survival analysis were conducted in clinical patients for proving the bioinformatic findings. Analysis of protein–protein interaction and gene functional enrichment was conducted using GeneMANIA platform and gene set enrichment analysis (GSEA), respectively. Results In TCGA, tumor tissue had a higher expression level of CSNK2A1 compared with that in corresponding normal tissue. An increased expression level of CSNK2A1 was related to poor clinical prognosis in most types of cancer such as LIHC. The following expression and survival analysis in clinical liver hepatocellular carcinoma (LIHC) patients confirmed these TCGA findings. CSNK2A1 expression had significant positive correlations with pro-tumor-infiltrating immune cells (TIICs) like M1-macrophages and fibroblasts, and significant negative correlations with anti-tumor-TIICs like activated CD8+ T cells and NK cells, suggesting specific interactions between CSNK2A1 and certain TIICs subtypes. Furthermore, CSNK2A1 expression had the most significant positive correlations with common markers of immune checkpoint including programmed death ligand-1 (PDL1) in LIHC. These findings were validated by an IHC analysis. GSEA analysis demonstrated that high expression of CSNK2A1 was related to cell signaling pathways and immunity-related activities. Conclusion These findings suggested that CSNK2A1 was not only related to poor clinical prognosis in cancer like LIHC but also a novel immunotherapy-related biomarker in cancers, especially in LIHC, shedding new light on anti-tumor strategy.
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Affiliation(s)
- Ruohao Wu
- Key Laboratory of Malignant Tumor Gene Regulation and Target Therapy of Guangdong High Education Institutes, Sun Yat-sen Memorial Hospital, Guangzhou, People's Republic of China.,Department of Pediatrics, Sun Yat-sen Memorial Hospital, Guangzhou, People's Republic of China
| | - Wenting Tang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen Cancer Center, Guangzhou, People's Republic of China.,Department of Molecular Diagnostics, Sun Yat-sen Cancer Center, Guangzhou, People's Republic of China
| | - Kunyin Qiu
- Key Laboratory of Malignant Tumor Gene Regulation and Target Therapy of Guangdong High Education Institutes, Sun Yat-sen Memorial Hospital, Guangzhou, People's Republic of China.,Department of Pediatrics, Sun Yat-sen Memorial Hospital, Guangzhou, People's Republic of China
| | - Pinggan Li
- Key Laboratory of Malignant Tumor Gene Regulation and Target Therapy of Guangdong High Education Institutes, Sun Yat-sen Memorial Hospital, Guangzhou, People's Republic of China.,Department of Pediatrics, Sun Yat-sen Memorial Hospital, Guangzhou, People's Republic of China
| | - Yu Li
- Key Laboratory of Malignant Tumor Gene Regulation and Target Therapy of Guangdong High Education Institutes, Sun Yat-sen Memorial Hospital, Guangzhou, People's Republic of China.,Department of Pediatrics, Sun Yat-sen Memorial Hospital, Guangzhou, People's Republic of China
| | - Dongfang Li
- Key Laboratory of Malignant Tumor Gene Regulation and Target Therapy of Guangdong High Education Institutes, Sun Yat-sen Memorial Hospital, Guangzhou, People's Republic of China.,Department of Pediatrics, Sun Yat-sen Memorial Hospital, Guangzhou, People's Republic of China
| | - Zhanwen He
- Key Laboratory of Malignant Tumor Gene Regulation and Target Therapy of Guangdong High Education Institutes, Sun Yat-sen Memorial Hospital, Guangzhou, People's Republic of China.,Department of Pediatrics, Sun Yat-sen Memorial Hospital, Guangzhou, People's Republic of China
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29
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Zhang L, Zhang T, Shang B, Li Y, Cao Z, Wang H. Prognostic effect of coexisting TP53 and ZFHX3 mutations in non-small cell lung cancer patients treated with immune checkpoint inhibitors. Scand J Immunol 2021; 94:e13087. [PMID: 35226388 DOI: 10.1111/sji.13087] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2020] [Revised: 05/29/2021] [Accepted: 06/03/2021] [Indexed: 11/28/2022]
Abstract
In recent years, immune checkpoint inhibitor (ICI) therapy has revolutionized the treatment of patients with advanced-stage non-small cell lung cancer (NSCLC). The relationship between TP53 mutation and prognosis of non-small cell lung cancer (NSCLC) remains controversial. We aimed to identify advanced-stage NSCLC patients harboring TP53 mutation who would benefit from ICI treatment. Gene mutations and tumor mutational burden (TMB) data of NSCLC patients who received at least one dose of ICI therapy at the Memorial Sloan Kettering Cancer Center between 2013 and 2017 were extracted from the cBioPortal online platform. Gene clustering analyses were performed for patients with short and long overall survival (OS). The top ten significantly different mutated genes were identified. Furthermore, we analyzed the different OS of coexisting TP53 and other significantly different mutated genes to identify NSCLC patients with TP53 mutations who would benefit from immunotherapy. A total of 350 patients were enrolled in the study. Of these a total of 219 (62.6%) patients were found to harbor TP53 mutations, whereas 131 (37.4%) had wild-type TP53. There was no statistically significant difference in OS between TP53 mutated or wild-type NSCLC patients who underwent ICI treatment. However, coexisting TP53 and ZFHX3 mutations were independent prognostic factors. Higher somatic TMB (highest 20% in each histology) and combination of anti-CTLA-4 and anti-PD-1/PD-L1 therapy were also associated with longer OS in multivariate analysis. Coexisting TP53 and ZFHX3 mutations are independent prognostic factors for advanced-stage NSCLC patients undergoing ICI treatment. These findings could help identify patients harboring TP53 mutations that would benefit from ICI treatment.
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Affiliation(s)
- Lijuan Zhang
- Department of Pediatric Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Tongyan Zhang
- Department of Thoracic Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Bin Shang
- Department of Thoracic Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Yaqiong Li
- Department of Pathology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Zhixin Cao
- Department of Pathology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Hui Wang
- Department of Thoracic Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
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Drilon A, Duruisseaux M, Han JY, Ito M, Falcon C, Yang SR, Murciano-Goroff YR, Chen H, Okada M, Molina MA, Wislez M, Brun P, Dupont C, Branden E, Rossi G, Schrock A, Ali S, Gounant V, Magne F, Blum TG, Schram AM, Monnet I, Shih JY, Sabari J, Pérol M, Zhu VW, Nagasaka M, Doebele R, Camidge DR, Arcila M, Ou SHI, Moro-Sibilot D, Rosell R, Muscarella LA, Liu SV, Cadranel J. Clinicopathologic Features and Response to Therapy of NRG1 Fusion-Driven Lung Cancers: The eNRGy1 Global Multicenter Registry. J Clin Oncol 2021; 39:2791-2802. [PMID: 34077268 PMCID: PMC8407651 DOI: 10.1200/jco.20.03307] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Revised: 03/03/2021] [Accepted: 04/16/2021] [Indexed: 12/21/2022] Open
Abstract
PURPOSE Although NRG1 fusions are oncogenic drivers across multiple tumor types including lung cancers, these are difficult to study because of their rarity. The global eNRGy1 registry was thus established to characterize NRG1 fusion-positive lung cancers in the largest and most diverse series to date. METHODS From June 2018 to February 2020, a consortium of 22 centers from nine countries in Europe, Asia, and the United States contributed data from patients with pathologically confirmed NRG1 fusion-positive lung cancers. Profiling included DNA-based and/or RNA-based next-generation sequencing and fluorescence in situ hybridization. Anonymized clinical, pathologic, molecular, and response (RECIST v1.1) data were centrally curated and analyzed. RESULTS Although the typified never smoking (57%), mucinous adenocarcinoma (57%), and nonmetastatic (71%) phenotype predominated in 110 patients with NRG1 fusion-positive lung cancer, further diversity, including in smoking history (43%) and histology (43% nonmucinous and 6% nonadenocarcinoma), was elucidated. RNA-based testing identified most fusions (74%). Molecularly, six (of 18) novel 5' partners, 20 unique epidermal growth factor domain-inclusive chimeric events, and heterogeneous 5'/3' breakpoints were found. Platinum-doublet and taxane-based (post-platinum-doublet) chemotherapy achieved low objective response rates (ORRs 13% and 14%, respectively) and modest progression-free survival medians (PFS 5.8 and 4.0 months, respectively). Consistent with a low programmed death ligand-1 expressing (28%) and low tumor mutational burden (median: 0.9 mutations/megabase) immunophenotype, the activity of chemoimmunotherapy and single-agent immunotherapy was poor (ORR 0%/PFS 3.3 months and ORR 20%/PFS 3.6 months, respectively). Afatinib achieved an ORR of 25%, not contingent on fusion type, and a 2.8-month median PFS. CONCLUSION NRG1 fusion-positive lung cancers were molecularly, pathologically, and clinically more heterogeneous than previously recognized. The activity of cytotoxic, immune, and targeted therapies was disappointing. Further research examining NRG1-rearranged tumor biology is needed to develop new therapeutic strategies.
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Affiliation(s)
- Alexander Drilon
- Memorial Sloan Kettering Cancer Center and Weill Cornell Medical College, New York, NY
| | - Michael Duruisseaux
- Respiratory Department, Louis Pradel Hospital, Hospices Civils de Lyon Cancer Institute, Lyon, France
- Anticancer Antibodies Laboratory, Cancer Research Center of Lyon, Lyon, France
- Université Claude Bernard Lyon UMR INSERM 1052 CNRS 5286, Université de Lyon, Lyon, France
| | - Ji-Youn Han
- National Cancer Center, Korea, Goyang-si, South Korea
| | - Masaoki Ito
- Pangaea Oncology, Quiron-Dexeus University Institute, Barcelona, Spain
- Institute for Health Science Research Germans Trias i Pujol (IGTP), Badalona, Spain
- Research Institute for Radiation Biology and Medicine, Hiroshima University, Hiroshima, Japan
| | - Christina Falcon
- Memorial Sloan Kettering Cancer Center and Weill Cornell Medical College, New York, NY
| | - Soo-Ryum Yang
- Memorial Sloan Kettering Cancer Center and Weill Cornell Medical College, New York, NY
| | | | - Haiquan Chen
- Fudan University Shanghai Cancer Center, Shanghai Medical College, Fudan University, Shanghai, China
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Institute of Thoracic Oncology, Fudan University, Shanghai, China
| | - Morihito Okada
- Research Institute for Radiation Biology and Medicine, Hiroshima University, Hiroshima, Japan
| | - Miguel Angel Molina
- Pangaea Oncology, Laboratory of Molecular Biology, Quiron-Dexeus University Institute, Barcelona, Spain
| | - Marie Wislez
- Université de Paris, Centre de Recherche des Cordeliers, Sorbonne Université, INSERM, Paris, France
- Team Inflammation, Complement, and Cancer, and Oncology Thoracic Unit Pulmonology Department, AP-HP, Hôpital Cochin, Paris, France
| | - Philippe Brun
- Department of Pneumology, Lungenklinik Heckeshorn, Helios Klinikum Emil von Behring, Valence, France
| | - Clarisse Dupont
- Respiratory Department, Louis Pradel Hospital, Hospices Civils de Lyon Cancer Institute, Lyon, France
| | - Eva Branden
- Karolinska Institute and Karolinska University Hospital Solna, Stockholm, Sweden
- Centre for Research and Development, Uppsala University/Region Gävleborg, Gävle, Sweden
| | - Giulio Rossi
- Local Health Authority of Romagna, Infermi Hospital, Rimini, Italy
- Local Health Authority of Romagna, St Maria delle Croci Hospital, Ravenna, Italy
| | | | - Siraj Ali
- Foundation Medicine Inc, Cambridge, MA
| | - Valérie Gounant
- Department of Pulmonology, Hôpital Tenon, Assistance Publique Hôpitaux de Paris, Paris, France
| | - Fanny Magne
- Hopital Nord Ouest Villefranche sur Saône, Gleizé, France
| | | | | | - Isabelle Monnet
- Centre Hospitalier Intercommunal de Créteil, Créteil, France
| | - Jin-Yuan Shih
- National Taiwan University Hospital and College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Joshua Sabari
- New York University Langone Health Perlmutter Cancer Center, New York, NY
| | | | - Viola W. Zhu
- Chao Family Comprehensive Cancer Center, Department of Medicine, Division of Hematology/Oncology, University of California, Irvine School of Medicine, Orange, CA
| | - Misako Nagasaka
- Karmanos Cancer Institute, Wayne State University, Detroit, MI
- Division of Neurology, Department of Internal Medicine, St Marianna University, Kawasaki, Japan
| | - Robert Doebele
- Division of Medical Oncology, University of Colorado Cancer Center, Aurora, CO
| | - D. Ross Camidge
- Division of Medical Oncology, University of Colorado Cancer Center, Aurora, CO
| | - Maria Arcila
- Memorial Sloan Kettering Cancer Center and Weill Cornell Medical College, New York, NY
| | - Sai-Hong Ignatius Ou
- Chao Family Comprehensive Cancer Center, University of California Irvine Medical Center, Orange, CA
| | - Denis Moro-Sibilot
- Clinique de Pneumologie, Pôle Médecine Aiguë Communautaire, Centre Hospitalier Universitaire de Grenoble, Grenoble, France
| | - Rafael Rosell
- Catalan Institute of Oncology, Hospital Germans Trias i Pujol, Badalona, Spain
| | - Lucia Anna Muscarella
- Laboratory of Oncology, Fondazione IRCCS Casa Sollievo della Sofferenza, Foggia, Italy
| | - Stephen V. Liu
- Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC
| | - Jacques Cadranel
- Department of Pneumology and Thoracic Oncology, Assistance Publique-Hopitaux de Paris, Tenon Hospital and GRC Theranoscan Sorbonne Université, Paris, France
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Al-Dherasi A, Liao Y, Al-Mosaib S, Hua R, Wang Y, Yu Y, Zhang Y, Zhang X, Jalayta R, Mousa H, Al-Danakh A, Alnadari F, Almoiliqy M, Baldi S, Shi L, Lv D, Li Z, Liu Q. Allele frequency deviation (AFD) as a new prognostic model to predict overall survival in lung adenocarcinoma (LUAD). Cancer Cell Int 2021; 21:451. [PMID: 34446004 PMCID: PMC8390239 DOI: 10.1186/s12935-021-02127-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2021] [Accepted: 07/30/2021] [Indexed: 12/24/2022] Open
Abstract
Background Lung adenocarcinoma (LUAD) remains one of the world’s most known aggressive malignancies with a high mortality rate. Molecular biological analysis and bioinformatics are of great importance as they have recently occupied a large area in the studies related to the identification of various biomarkers to predict survival for LUAD patients. In our study, we attempted to identify a new prognostic model by developing a new algorithm to calculate the allele frequency deviation (AFD), which in turn may assist in the early diagnosis and prediction of clinical outcomes in LUAD. Method First, a new algorithm was developed to calculate AFD using the whole-exome sequencing (WES) dataset. Then, AFD was measured for 102 patients, and the predictive power of AFD was assessed using Kaplan–Meier analysis, receiver operating characteristic (ROC) curves, and area under the curve (AUC). Finally, multivariable cox regression analyses were conducted to evaluate the independence of AFD as an independent prognostic tool. Result The Kaplan–Meier analysis showed that AFD effectively segregated patients with LUAD into high-AFD-value and low-AFD-value risk groups (hazard ratio HR = 1.125, 95% confidence interval CI 1.001–1.26, p = 0.04) in the training group. Moreover, the overall survival (OS) of patients who belong to the high-AFD-value group was significantly shorter than that of patients who belong to the low-AFD-value group with 42.8% higher risk and 10% lower risk of death for both groups respectively (HR for death = 1.10; 95% CI 1.01–1.2, p = 0.03) in the training group. Similar results were obtained in the validation group (HR = 4.62, 95% CI 1.22–17.4, p = 0.02) with 41.6%, and 5.5% risk of death for patients who belong to the high and low-AFD-value groups respectively. Univariate and multivariable cox regression analyses demonstrated that AFD is an independent prognostic model for patients with LUAD. The AUC for 5-year survival were 0.712 and 0.86 in the training and validation groups, respectively. Conclusion AFD was identified as a new independent prognostic model that could provide a prognostic tool for physicians and contribute to treatment decisions. Supplementary Information The online version contains supplementary material available at 10.1186/s12935-021-02127-z.
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Affiliation(s)
- Aisha Al-Dherasi
- Center of Genome and Personalized Medicine, Institute of Cancer Stem Cell, Dalian Medical University, Dalian, 116044, Liaoning, People's Republic of China.,Department of Biochemistry, Faculty of Science, Ibb University, Ibb, Yemen
| | - Yuwei Liao
- Yangjiang Key Laboratory of Respiratory Diseases, Yangjiang Peoples Hospital, Yangjiang, Guangdong, People's Republic of China
| | - Sultan Al-Mosaib
- Department of Computer Science and Technology, Sahyadri Science Collage, Kuvempu University, Shimoga district, Karnataka, India
| | - Rulin Hua
- Center of Genome and Personalized Medicine, Institute of Cancer Stem Cell, Dalian Medical University, Dalian, 116044, Liaoning, People's Republic of China
| | - Yichen Wang
- Center of Genome and Personalized Medicine, Institute of Cancer Stem Cell, Dalian Medical University, Dalian, 116044, Liaoning, People's Republic of China
| | - Ying Yu
- State Key Laboratory of Genetic Engineering, School of Life Sciences and Human Phenome Institute, Fudan University, 2005 Songhu Road, Shanghai, 200438, People's Republic of China
| | - Yu Zhang
- Center of Genome and Personalized Medicine, Institute of Cancer Stem Cell, Dalian Medical University, Dalian, 116044, Liaoning, People's Republic of China
| | - Xuehong Zhang
- Center of Genome and Personalized Medicine, Institute of Cancer Stem Cell, Dalian Medical University, Dalian, 116044, Liaoning, People's Republic of China
| | - Raeda Jalayta
- Center of Genome and Personalized Medicine, Institute of Cancer Stem Cell, Dalian Medical University, Dalian, 116044, Liaoning, People's Republic of China
| | - Haithm Mousa
- Department of Clinical Biochemistry, College of Laboratory Diagnostic Medicine, Dalian Medical University, Dalian, 116044, Liaoning, People's Republic of China
| | - Abdullah Al-Danakh
- Department of Urology, First Affiliated Hospital of Dalian Medical University, Dalian Medical University, Dalian, 116044, Liaoning, People's Republic of China
| | - Fawze Alnadari
- Department of Food Science and Engineering, College of Food Science and Technology, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, People's Republic of China
| | - Marwan Almoiliqy
- Key Lab of Aromatic Plant Resources Exploitation and Utilization in Sichuan Higher Education, Yibin University, Yibin, 644000, Sichuan, China
| | - Salem Baldi
- Department of Clinical Biochemistry, College of Laboratory Diagnostic Medicine, Dalian Medical University, Dalian, 116044, Liaoning, People's Republic of China
| | - Leming Shi
- State Key Laboratory of Genetic Engineering, School of Life Sciences and Human Phenome Institute, Fudan University, 2005 Songhu Road, Shanghai, 200438, People's Republic of China
| | - Dekang Lv
- Center of Genome and Personalized Medicine, Institute of Cancer Stem Cell, Dalian Medical University, Dalian, 116044, Liaoning, People's Republic of China.
| | - Zhiguang Li
- Center of Genome and Personalized Medicine, Institute of Cancer Stem Cell, Dalian Medical University, Dalian, 116044, Liaoning, People's Republic of China.
| | - Quentin Liu
- Center of Genome and Personalized Medicine, Institute of Cancer Stem Cell, Dalian Medical University, Dalian, 116044, Liaoning, People's Republic of China.
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Tanaka I, Furukawa T, Morise M. The current issues and future perspective of artificial intelligence for developing new treatment strategy in non-small cell lung cancer: harmonization of molecular cancer biology and artificial intelligence. Cancer Cell Int 2021; 21:454. [PMID: 34446006 PMCID: PMC8393743 DOI: 10.1186/s12935-021-02165-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Accepted: 08/19/2021] [Indexed: 12/12/2022] Open
Abstract
Comprehensive analysis of omics data, such as genome, transcriptome, proteome, metabolome, and interactome, is a crucial technique for elucidating the complex mechanism of cancer onset and progression. Recently, a variety of new findings have been reported based on multi-omics analysis in combination with various clinical information. However, integrated analysis of multi-omics data is extremely labor intensive, making the development of new analysis technology indispensable. Artificial intelligence (AI), which has been under development in recent years, is quickly becoming an effective approach to reduce the labor involved in analyzing large amounts of complex data and to obtain valuable information that is often overlooked in manual analysis and experiments. The use of AI, such as machine learning approaches and deep learning systems, allows for the efficient analysis of massive omics data combined with accurate clinical information and can lead to comprehensive predictive models that will be desirable for further developing individual treatment strategies of immunotherapy and molecular target therapy. Here, we aim to review the potential of AI in the integrated analysis of omics data and clinical information with a special focus on recent advances in the discovery of new biomarkers and the future direction of personalized medicine in non-small lung cancer.
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Affiliation(s)
- Ichidai Tanaka
- Department of Respiratory Medicine, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan.
| | - Taiki Furukawa
- Center for Healthcare Information Technology (C-HiT), Nagoya University, Nagoya, Japan
| | - Masahiro Morise
- Department of Respiratory Medicine, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan
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Sannicolo S, Giaj Levra M, Le Gouellec A, Aspord C, Boccard J, Chaperot L, Toussaint B, Moro-Sibilot D, Hannani D, Toffart AC. Identification of a predictive metabolic signature of response to immune checkpoint inhibitors in non-small cell lung cancer: METABO-ICI clinical study protocol. Respir Med Res 2021; 80:100845. [PMID: 34242975 DOI: 10.1016/j.resmer.2021.100845] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2020] [Revised: 05/20/2021] [Accepted: 05/29/2021] [Indexed: 12/11/2022]
Abstract
BACKGROUND Immune checkpoints inhibitors (ICI) are becoming new standards of care for the treatment of non-small cell lung cancer (NSCLC), both as first (alone or in association with chemotherapy) and second line. However, no powerful predictive biomarker of therapeutic response to ICI has been found to date. It has been recently shown that microbiota composition could influence the ability of patients to respond to ICI. Indeed, the microbiota produces circulating metabolites that will subsequently act on immune system, the investigators hypothesized that plasma metabolic signature, reflecting a global microbiota function, could represent a predictive biomarker of response to ICI. METHODS Monocentric prospective study. Primary objective is to identify baseline metabolic signature (metabolomics analysis by mass spectrometry) associated to ICI response. Secondary objectives are to link metabolic signature with microbiota composition (metagenomics analysis RNA 16S) and immune profile, and altogether with clinic response to ICI. The study will include 60 NSCLC patients treated by ICI in 1st, 2nd or 3rd line of treatment at the Grenoble Alpes University hospital (CHUGA) in 18 months. Patients that have received antibiotic or steroid treatment, 2 or 4 weeks before ICI initiation, respectively, will be excluded. Blood and feces will be collected prior to, at 2 months after ICI treatment initiation, and at 6 months or at progression. EXPECTED RESULTS We expect to highlight a metabolic profile predictive of response to ICI. By identifying factors associated with early progression, we could avoid to treat potential non-responding patients. Moreover, by restoring a favorable microbiota, patients' ability to respond to these treatments might be restored.
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Affiliation(s)
- Sarah Sannicolo
- CNRS, Grenoble INP, TIMC-IMAG, CHU de Grenoble-Alpes, University Grenoble-Alpes, Grenoble, France; Pôle cancer et maladies du sang, CHU de Grenoble-Alpes, Grenoble, France
| | - Matteo Giaj Levra
- Unité d'oncologie thoracique, pôle thorax et vaisseaux, service hospitalier universitaire pneumologie physiologie, CHU de Grenoble-Alpes, Grenoble, France; Inserm U 1209, CNRS UMR 5309, Institute for Advanced Biosciences, Immunobiology and Immunotherapy in Chronic Diseases, Université Grenoble-Alpes, 38000 Grenoble, France
| | - Audrey Le Gouellec
- CNRS, Grenoble INP, TIMC-IMAG, CHU de Grenoble-Alpes, University Grenoble-Alpes, Grenoble, France
| | - Caroline Aspord
- Inserm U 1209, CNRS UMR 5309, Institute for Advanced Biosciences, Immunobiology and Immunotherapy in Chronic Diseases, Université Grenoble-Alpes, 38000 Grenoble, France; R&D Laboratory, établissement français du sang Auvergne-Rhône-Alpes, 38000 Grenoble, France
| | - Julien Boccard
- School of Pharmaceutical Sciences, University of Geneva, Geneva, Switzerland; Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Geneva, Switzerland
| | - Laurence Chaperot
- Inserm U 1209, CNRS UMR 5309, Institute for Advanced Biosciences, Immunobiology and Immunotherapy in Chronic Diseases, Université Grenoble-Alpes, 38000 Grenoble, France; R&D Laboratory, établissement français du sang Auvergne-Rhône-Alpes, 38000 Grenoble, France
| | - Bertrand Toussaint
- CNRS, Grenoble INP, TIMC-IMAG, CHU de Grenoble-Alpes, University Grenoble-Alpes, Grenoble, France
| | - Denis Moro-Sibilot
- Unité d'oncologie thoracique, pôle thorax et vaisseaux, service hospitalier universitaire pneumologie physiologie, CHU de Grenoble-Alpes, Grenoble, France; Inserm U 1209, CNRS UMR 5309, Institute for Advanced Biosciences, Immunobiology and Immunotherapy in Chronic Diseases, Université Grenoble-Alpes, 38000 Grenoble, France; Université Grenoble-Alpes, Grenoble, France
| | - Dalil Hannani
- CNRS, Grenoble INP, TIMC-IMAG, CHU de Grenoble-Alpes, University Grenoble-Alpes, Grenoble, France
| | - Anne-Claire Toffart
- Unité d'oncologie thoracique, pôle thorax et vaisseaux, service hospitalier universitaire pneumologie physiologie, CHU de Grenoble-Alpes, Grenoble, France; Inserm U 1209, CNRS UMR 5309, Institute for Advanced Biosciences, Immunobiology and Immunotherapy in Chronic Diseases, Université Grenoble-Alpes, 38000 Grenoble, France; Université Grenoble-Alpes, Grenoble, France.
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Hendriks LEL, Remon J, Menis J, Besse B. Is there any opportunity for immune checkpoint inhibitor therapy in non-small cell lung cancer patients with brain metastases? Transl Lung Cancer Res 2021; 10:2868-2875. [PMID: 34295685 PMCID: PMC8264345 DOI: 10.21037/tlcr-20-343] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2020] [Accepted: 05/13/2020] [Indexed: 11/06/2022]
Abstract
Although brain metastases occur in almost one-third of non-small cell lung cancer (NSCLC) patients, and immune checkpoint inhibitors (ICI) either as monotherapy or combined with chemotherapy are the new standard of care in the first line setting, most trials excluded patients with asymptomatic and/or untreated brain metastases. Brain metastases have a major clinical impact due to the worsening of the patient's prognosis and quality of life. Furthermore, the incidence of brain metastases is increasing in NSCLC patients, due to a longer survival and better imaging techniques. Therefore, brain metastases are increasingly becoming a research topic. Recent clinical data endorses ICI as a therapeutic strategy in this subpopulation of NSCLC patients, although the immune environment in brain metastases is more immune ignorant compared with the microenvironment in the primary tumour or in the extracranial metastases. In this review we summarize the current evidence of ICI strategy in NSCLC patients with brain metastases, including trial and real-life data. We also state that the different tumor microenvironment between brain metastases and primary tumor may explain the discordance on the response rate during treatment with ICI. Last, we focus on future directions, including the role and optimal sequence of cranial irradiation and ICI, prognostic scores, the best response assessment and new imaging techniques.
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Affiliation(s)
- Lizza E L Hendriks
- Department of Pulmonary Diseases, GROW - School for Oncology and Developmental Biology, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Jordi Remon
- Department of Medical Oncology, Centro Integral Oncológico Clara Campal (HM CIOCC), Hospital HM Delfos, HM Hospitales, Barcelona, Spain
| | - Jessica Menis
- Department of Surgery, Oncology and Gastroenterology, University of Padova, Padova, Italy.,Medical Oncology Department, Istituto Oncologico Veneto IRCCS, Padova, Italy
| | - Benjamin Besse
- Department of Medical Oncology, Gustave Roussy Cancer Campus, Institut d'Oncologie Thoracique (IOT), Gustave Roussy, Université Paris-Saclay, Villejuif, France.,Paris-Sud University, Orsay, France
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35
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Galvano A, Gristina V, Malapelle U, Pisapia P, Pepe F, Barraco N, Castiglia M, Perez A, Rolfo C, Troncone G, Russo A, Bazan V. The prognostic impact of tumor mutational burden (TMB) in the first-line management of advanced non-oncogene addicted non-small-cell lung cancer (NSCLC): a systematic review and meta-analysis of randomized controlled trials. ESMO Open 2021; 6:100124. [PMID: 33940346 PMCID: PMC8111593 DOI: 10.1016/j.esmoop.2021.100124] [Citation(s) in RCA: 69] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Revised: 01/30/2021] [Accepted: 04/01/2021] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND The role of tumor mutational burden (TMB) is still debated for selecting advanced non-oncogene addicted non-small-cell lung cancer (NSCLC) patients who might benefit from immune checkpoint inhibitors (ICIs). Of note, TMB failed to predict a benefit in overall survival (OS) among such patients. MATERIALS AND METHODS The purpose of this meta-analysis was to compare efficacy outcomes among first-line immune-oncology (IO) agents versus standard platinum-based chemotherapy (CT) within two subgroups (TMB-low and TMB-high on either tissue or blood). We collected hazard ratios (HRs) to evaluate the association for progression-free survival (PFS) and OS, with the relative 95% confidence intervals (CIs). Risk ratios (RRs) were used as an association measure for objective response rate (ORR). RESULTS Eight different cohorts of five randomized controlled phase III studies (3848 patients) were analyzed. In TMB-high patients, IO agents were associated with improved ORR (RRs 1.37, 95% CI 1.13-1.66), PFS (HR 0.69, 95% CI 0.61-0.79) and OS (HR 0.67, 95% CI 0.59-0.77) when compared with CT, thus suggesting a possible predictive role of high TMB for IO regimens. In TMB-low patients, the IO strategy did not lead to any significant benefit in survival and activity, whereas the pooled results of both ORR and PFS were intriguingly associated with a statistical significance in favor of CT. CONCLUSIONS This meta-analysis resulted in a proven benefit in OS in favor of IO agents in the TMB-high population. Although more prospective data are warranted, we postulated the hypothesis that monitoring TMB, in addition to the existing programmed death-ligand 1 (PD-L1) expression level, could represent the preferable option for future clinical research in the first-line management of advanced non-oncogene addicted NSCLC patients.
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Affiliation(s)
- A Galvano
- Department of Surgical, Oncological and Oral Sciences, University of Palermo, Palermo, Italy
| | - V Gristina
- Department of Surgical, Oncological and Oral Sciences, University of Palermo, Palermo, Italy
| | - U Malapelle
- Department of Public Health, University Federico II of Naples, Naples, Italy
| | - P Pisapia
- Department of Public Health, University Federico II of Naples, Naples, Italy
| | - F Pepe
- Department of Public Health, University Federico II of Naples, Naples, Italy
| | - N Barraco
- Department of Surgical, Oncological and Oral Sciences, University of Palermo, Palermo, Italy
| | - M Castiglia
- Department of Surgical, Oncological and Oral Sciences, University of Palermo, Palermo, Italy
| | - A Perez
- Department of Surgical, Oncological and Oral Sciences, University of Palermo, Palermo, Italy
| | - C Rolfo
- Marlene and Stewart Greenebaum Comprehensive Cancer Center, University of Maryland School of Medicine, Baltimore, USA
| | - G Troncone
- Department of Public Health, University Federico II of Naples, Naples, Italy
| | - A Russo
- Department of Surgical, Oncological and Oral Sciences, University of Palermo, Palermo, Italy.
| | - V Bazan
- Department of Experimental Biomedicine and Clinical Neurosciences, University of Palermo, Palermo, Italy
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36
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Circulating tumor DNA in lung cancer: real-time monitoring of disease evolution and treatment response. Chin Med J (Engl) 2021; 133:2476-2485. [PMID: 32960843 PMCID: PMC7575184 DOI: 10.1097/cm9.0000000000001097] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Lung cancer is one of the leading causes of all cancer-related deaths. Circulating tumor DNA (ctDNA) is released from apoptotic and necrotic tumor cells. Several sensitive techniques have been invented and adapted to quantify ctDNA genomic alterations. Applications of ctDNA in lung cancer include early diagnosis and detection, prognosis prediction, detecting mutations and structural alterations, minimal residual disease, tumor mutational burden, and tumor evolution tracking. Compared to surgical biopsy and radiographic imaging, the advantages of ctDNA are that it is a non-invasive procedure, allows real-time monitoring, and has relatively high sensitivity and specificity. Given the massive research on non-small cell lung cancer, attention should be paid to small cell lung cancer.
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37
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Dall'Olio FG, Calabrò D, Conci N, Argalia G, Marchese PV, Fabbri F, Fragomeno B, Ricci D, Fanti S, Ambrosini V, Ardizzoni A. Baseline total metabolic tumour volume on 2-deoxy-2-[18F]fluoro-d-glucose positron emission tomography-computed tomography as a promising biomarker in patients with advanced non-small cell lung cancer treated with first-line pembrolizumab. Eur J Cancer 2021; 150:99-107. [PMID: 33892411 DOI: 10.1016/j.ejca.2021.03.020] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2020] [Revised: 03/01/2021] [Accepted: 03/08/2021] [Indexed: 12/26/2022]
Abstract
INTRODUCTION Immune checkpoint inhibitors (ICIs) have become the standard of care in the management of advanced non-small cell lung cancer (NSCLC). Nevertheless, only a small proportion of patients benefit from ICIs. The aim of the present study is to assess whether 2-deoxy-2-[18F]fluoro-d-glucose positron emission tomography-computed tomography ([18F]FDG-PET/CT)-derived parameters may be used as biomarkers in patients with advanced NSCLC receiving first-line pembrolizumab. MATERIALS AND METHODS This is a monocentric retrospective cohort study including patients with advanced NSCLC (stage IV) and Programmed death-ligand 1 (PD-L1) expression ≥50% treated with pembrolizumab. A control group of patients treated with epidermal growth factor receptor (EGFR) inhibitors for EGFR-mutated NSCLC was also enrolled. Only patients with a positive [18F]18F-FDG PET/CT result within 60 days from treatment initiation were included.Total metabolic tumour volume (tMTV) was calculated for each lesion using a dedicated software (PET VCAR; GE Healthcare), which semiautomatically delineates the tumour's contours with a maximum standardised uptake value (SUVmax) threshold of 42% within the lesion. tMTV was obtained summing each lesion's MTV. Potential prognostic parameters for overall survival (OS) were analysed (tMTV, SUVmax, bone/liver metastasis, neutrophil:lymphocyte ratio ≥4, Eastern Cooperative Oncology Group performance status ≥2, lactate dehydrogenase above the upper limit of normal). RESULTS Overall, 34 patients treated with first line-pembrolizumab and 40 patients treated with EGFR tyrosine kinase inhibitors were included. In the pembrolizumab group, the median follow-up was 20.3, while the median OS was 4.7 months (95% confidence interval [CI] = 0.3-9.1) for patients with tMTV ≥75 cm3 vs not reached (NR) for patients with tMTV <75 cm3 (95% CI = NR-NR; hazard ratio [HR] = 5.37; 95% CI = 1.72-16.77; p = 0.004). No difference was found in the control group (HR = 1.43; 95% CI = 0.61-3.34; p = 0.411). CONCLUSION Our data suggest that tMTV ≥75cm3 can be used as a prognostic biomarker of poor outcomes in patients with PD-L1-high advanced NSCLC treated with first-line pembrolizumab. This information could be useful for the selection of patients who may require the addition of chemotherapy to pembrolizumab.
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Affiliation(s)
- Filippo G Dall'Olio
- Medical Oncology, IRCCS, Azienda Ospedaliero-Universitaria di Bologna, Italy.
| | - Diletta Calabrò
- IRCCS, Azienda Ospedaliero-Universitaria di Bologna, Italy; Nuclear Medicine, Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Italy
| | - Nicole Conci
- Medical Oncology, IRCCS, Azienda Ospedaliero-Universitaria di Bologna, Italy
| | - Giulia Argalia
- IRCCS, Azienda Ospedaliero-Universitaria di Bologna, Italy; Nuclear Medicine, Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Italy
| | | | - Francesca Fabbri
- Medical Oncology, IRCCS, Azienda Ospedaliero-Universitaria di Bologna, Italy
| | - Benedetta Fragomeno
- Medical Oncology, IRCCS, Azienda Ospedaliero-Universitaria di Bologna, Italy
| | - Dalia Ricci
- Medical Oncology, IRCCS, Azienda Ospedaliero-Universitaria di Bologna, Italy
| | - Stefano Fanti
- IRCCS, Azienda Ospedaliero-Universitaria di Bologna, Italy; Nuclear Medicine, Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Italy
| | - Valentina Ambrosini
- IRCCS, Azienda Ospedaliero-Universitaria di Bologna, Italy; Nuclear Medicine, Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Italy
| | - Andrea Ardizzoni
- Medical Oncology, IRCCS, Azienda Ospedaliero-Universitaria di Bologna, Italy
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Gaucher L, Adda L, Séjourné A, Joachim C, Chaby G, Poulet C, Liabeuf S, Gras-Champel V, Masmoudi K, Moreira A, Bennis Y, Batteux B. Impact of the corticosteroid indication and administration route on overall survival and the tumor response after immune checkpoint inhibitor initiation. Ther Adv Med Oncol 2021; 13:1758835921996656. [PMID: 33717227 PMCID: PMC7923985 DOI: 10.1177/1758835921996656] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2021] [Accepted: 01/27/2021] [Indexed: 12/23/2022] Open
Abstract
Background: Based on their indications, systemic corticosteroids appear to negatively affect clinical outcomes in immune checkpoint inhibitor (ICI)-treated patients. There are few data on the influence of topical and inhaled corticosteroids on the ICIs’ effectiveness. Methods: In a single-center study, we retrospectively investigated the impact of systemic corticosteroids according to their indication [an immune-related adverse event (irAE) or another indication] on overall survival (OS) and the tumor response in all consecutive patients after initiation of ipilimumab, nivolumab or pembrolizumab over a 9-year period. The impacts of topical and inhaled corticosteroids were also examined. Results: Three hundred and seventy-two patients were included. The mean ± standard deviation age was 64.0 ± 12.1 years. The most frequently prescribed ICI was nivolumab (in 58.3% of the patients) and the most frequent indications were lung cancer (44.6%) and melanoma (29.6%). Systemic corticosteroid use for an irAE did not have a negative impact on OS [adjusted hazard ratio (HR) [95% confidence interval (CI)] 1.04 (0.56–1.95), p = 0.902] or the best overall tumor response [adjusted odds ratio (OR) (95% CI) 1.69 (0.52–6.56), p = 0.413], while systemic corticosteroid use for another indication was associated with shorter OS [adjusted HR (95% CI) 1.34 (1.05–2.03), p = 0.046] and a poor best overall tumor response [adjusted OR (95% CI) 2.04 (1.07–5.80), p = 0.039] with a cumulative dose cut-off of 3215 mg prednisolone equivalent (specificity 71.4%; sensitivity 65.3%) and a time cut-off of 132 days (specificity 71.4%; sensitivity 89.8%). The use of topical corticosteroids was associated with a longer OS; this was probably due to dermatological irAEs. Inhaled corticosteroid use did not influence OS. Conclusion: Systemic corticosteroid use for an irAE does not impact OS or the tumor response, whereas use for other indications (themselves often associated with a worse prognosis) does. Topical and inhaled steroids do not have a negative impact on OS.
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Affiliation(s)
- Louis Gaucher
- Department of Clinical Pharmacology, Amiens University Medical Center, Amiens, France
| | - Leslie Adda
- Department of Clinical Pharmacology, Amiens University Medical Center, Amiens, France
| | - Alice Séjourné
- Department of Rheumatology, Saint-Quentin Medical Center, Saint-Quentin, France
| | - Camille Joachim
- Department of Dermatology, Amiens University Medical Center, Amiens, France
| | - Guillaume Chaby
- Department of Dermatology, Amiens University Medical Center, Amiens, France
| | - Claire Poulet
- Department of Pneumology, Amiens University Medical Center, Amiens, France
| | - Sophie Liabeuf
- Department of Clinical Pharmacology, Amiens University Medical Center, Amiens, France
| | - Valérie Gras-Champel
- Department of Clinical Pharmacology, Amiens University Medical Center, Amiens, France
| | - Kamel Masmoudi
- Department of Clinical Pharmacology, Amiens University Medical Center, Amiens, France
| | - Aurélie Moreira
- Department of Oncology, Amiens University Medical Center, Amiens, France
| | - Youssef Bennis
- Department of Clinical Pharmacology, Amiens University Medical Center, Amiens, France
| | - Benjamin Batteux
- Department of Clinical Pharmacology, Amiens University Medical Center, Rue du Professeur Christian Cabrol, Amiens F-80000, France
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Bergamino Sirvén M, Pernas S, Cheang MCU. Lights and Shadows in Immuno-Oncology Drug Development. Cancers (Basel) 2021; 13:691. [PMID: 33572060 PMCID: PMC7915946 DOI: 10.3390/cancers13040691] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2020] [Revised: 02/04/2021] [Accepted: 02/05/2021] [Indexed: 11/16/2022] Open
Abstract
The rapidly evolving landscape of immuno-oncology (IO) is redefining the treatment of a number of cancer types. IO treatments are becoming increasingly complex, with different types of drugs emerging beyond checkpoint inhibitors. However, many of the new drugs either do not progress from phase I-II clinical trials or even fail in late-phase trials. We have identified at least five areas in the development of promising IO treatments that should be redefined for more efficient designs and accelerated approvals. Here we review those critical aspects of IO drug development that could be optimized for more successful outcome rates in all cancer types. It is important to focus our efforts on the mechanisms of action, types of response and adverse events of these novel agents. The use of appropriate clinical trial designs with robust biomarkers of response and surrogate endpoints will undoubtedly facilitate the development and subsequent approval of these drugs. Further research is also needed to establish biomarker-driven strategies to select which patients may benefit from immunotherapy and identify potential mechanisms of resistance.
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Affiliation(s)
- Milana Bergamino Sirvén
- Clinical Studies and Clinical Trials and Statistics Unit, The Institute of Cancer Research, London SM2 5NG, UK
| | - Sonia Pernas
- Department of Medical Oncology, Catalan Institute of Oncology—ICO, L’Hospitalet de Llobregat, 08908 Barcelona, Spain;
- Breast Cancer Group, Institut d’Investigacio Biomedica de Bellvitge—IDIBELL, L’Hospitalet de Llobregat, 08908 Barcelona, Spain
| | - Maggie C. U. Cheang
- Clinical Studies and Clinical Trials and Statistics Unit, The Institute of Cancer Research, London SM2 5NG, UK
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40
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Dong A, Zhao Y, Li Z, Hu H. PD-L1 versus tumor mutation burden: Which is the better immunotherapy biomarker in advanced non-small cell lung cancer? J Gene Med 2021; 23:e3294. [PMID: 33171529 DOI: 10.1002/jgm.3294] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Revised: 10/24/2020] [Accepted: 10/24/2020] [Indexed: 12/31/2022] Open
Abstract
PD-L1 and tumor mutation burden (TMB) are the most widely used immunotherapy biomarkers to identify populations who would attain clinical benefit, with the higher values predicting better therapeutic efficacy. This review addresses the predictive values and unresolved challenges of these two biomarkers. PD-1 and PD-L1 inhibitors have induced durable and effective responses in patients with advanced non-small cell lung cancer, confirmed by multiple clinical trials and real-world studies. Different clinical trials, involving both PD-1/PD-L1 inhibitors alone and combination regimens, adopted either PD-L1 or TMB to stratify the patients, although the predictive capabilities of these two biomarkers are different. In the first-line setting, PD-L1 of 50% or more as a cut-off value can help select candidates for pembrolizumab or atezolizumab monotherapy; however, these two biomarkers poorly predict the efficacy of immunotherapy combination regimens as first-line treatments. In the second-line setting, although patients can benefit from nivolumab regardless of PD-L1 expression, both PD-L1 and blood TMB can be used as biomarkers to find patients suitable for atezolizumab. Except for inaccurate predictiveness, there are many unresolved problems with regard to the two biomarkers, such as the lack of standard detection methods, and their susceptibilities to other dynamic changes. The predictive values of TMB and PD-L1 were low in most circumstances; however, PD-L1 expression greater than ≥ 50% can help select appropriate patients for pembrolizumab and atezolizumab, respectively, as first-line monotherapies. Higher PD-L1 or TMB was associated with greater efficacy for atezolizumab as a second-line monotherapy.
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Affiliation(s)
- Aoran Dong
- Department of Medical Oncology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, China
| | - Yiming Zhao
- Department of Medical Oncology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, China.,Phase I Clinical Trial Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, China
| | - Zhihua Li
- Department of Medical Oncology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, China.,Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, China
| | - Hai Hu
- Department of Medical Oncology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, China.,Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, China
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41
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Imyanitov EN, Iyevleva AG, Levchenko EV. Molecular testing and targeted therapy for non-small cell lung cancer: Current status and perspectives. Crit Rev Oncol Hematol 2020; 157:103194. [PMID: 33316418 DOI: 10.1016/j.critrevonc.2020.103194] [Citation(s) in RCA: 245] [Impact Index Per Article: 61.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2020] [Revised: 11/14/2020] [Accepted: 11/17/2020] [Indexed: 02/07/2023] Open
Abstract
Molecular testing has become a mandatory component of the non-small cell lung cancer (NSCLC) management. The detection of EGFR, BRAF and MET mutations as well as the analysis of ALK, ROS1, RET and NTRK translocations have already been incorporated in the NSCLC diagnostic standards, and the inhibitors of these kinases are in routine clinical use. There are emerging biomarkers, e.g., KRAS G12C substitutions and HER2 activating alterations, which are likely to enter NSCLC guidelines upon the approval of the corresponding drugs. In addition to genetic examination, NSCLCs are usually subjected to the analysis of PD-L1 protein expression in order to direct the use of immune checkpoint inhibitors. Comprehensive NSCLC testing for multiple predictive markers requires the analysis of distinct biological molecules (DNA, RNA, proteins) and, therefore, the involvement of different analytical platforms (PCR, DNA sequencing, immunohistochemistry, FISH). There are ongoing efforts aimed at the integration of multiple NSCLC molecular assays into a single diagnostic pipeline.
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Affiliation(s)
- Evgeny N Imyanitov
- Department of Tumor Growth Biology, N.N. Petrov Institute of Oncology, St.-Petersburg, 197758, Russia; Department of Medical Genetics, St.-Petersburg Pediatric Medical University, St.-Petersburg, 194100, Russia; Department of Oncology, I.I. Mechnikov North-Western Medical University, St.-Petersburg, 195067, Russia.
| | - Aglaya G Iyevleva
- Department of Tumor Growth Biology, N.N. Petrov Institute of Oncology, St.-Petersburg, 197758, Russia; Department of Medical Genetics, St.-Petersburg Pediatric Medical University, St.-Petersburg, 194100, Russia
| | - Evgeny V Levchenko
- Department of Oncology, I.I. Mechnikov North-Western Medical University, St.-Petersburg, 195067, Russia; Department of Thoracic Oncology, N.N. Petrov Institute of Oncology, St.-Petersburg, 197758, Russia
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42
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Newman J, Seetharamu N, Saif MW. Burden of Proof: Evaluating the Efficacy of Tumor Mutational Burden (TMB) in Predicting Response to Immune Checkpoint Inhibitors. CANCER MEDICINE JOURNAL 2020; 3:17-21. [PMID: 33377136 PMCID: PMC7769129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Affiliation(s)
- James Newman
- Northwell Health Cancer Institute, Lake Success, NY, USA
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43
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Newman J, Preeshagul I, Kohn N, Devoe C, Seetharamu N. Simple parameters to solve a complex issue: predicting response to checkpoint inhibitor therapy in lung cancer. Lung Cancer Manag 2020; 10:LMT44. [PMID: 34084210 PMCID: PMC8162145 DOI: 10.2217/lmt-2020-0024] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Background: Noninvasive biomarkers predicting immune checkpoint inhibitor (ICI) response are urgently needed. We evaluated the predictive value of pretreatment neutrophil-to-lymphocyte ratio (NLR), smoking history, smoking intensity, BMI and programmed death ligand 1 (PD-L1) expression in non-small-cell lung cancer (NSCLC) patients treated with ICIs. Materials & methods: Single-center retrospective study included 137 patients from July 2015 to February 2018. Outcomes included 3-month disease control rate, progression-free survival, and overall survival. Predictive value of biomarkers was assessed independently and in a multivariable model. Results: NLR was associated with all outcomes. Smoking history was predictive of progression-free survival and smoking intensity was predictive of disease control rate. BMI and PD-L1 were not associated with any outcome. High BMI was associated with low NLR. Conclusion: Simple clinical biomarkers can predict response to ICIs. A score incorporating both clinical factors and established tissue/serum biomarkers may be useful in identifying NSCLC patients who would benefit from ICIs.
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Affiliation(s)
- James Newman
- Northwell Health Cancer Institute, Medical Oncology, New Hyde Park, NY 11042, USA
| | - Isabel Preeshagul
- Memorial Sloan Kettering Cancer Center, Medical Oncology, New York, NY 10065, USA
| | - Nina Kohn
- Feinstein Institute for Medical Research, Biostatistics Unit, Manhasset, NY 11030, USA
| | - Craig Devoe
- Northwell Health Cancer Institute, Medical Oncology, New Hyde Park, NY 11042, USA
| | - Nagashree Seetharamu
- Northwell Health Cancer Institute, Medical Oncology, New Hyde Park, NY 11042, USA
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44
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Golkaram M, Zhao C, Kruglyak K, Zhang S, Bilke S. The interplay between cancer type, panel size and tumor mutational burden threshold in patient selection for cancer immunotherapy. PLoS Comput Biol 2020; 16:e1008332. [PMID: 33166276 PMCID: PMC7676656 DOI: 10.1371/journal.pcbi.1008332] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Revised: 11/19/2020] [Accepted: 09/12/2020] [Indexed: 01/10/2023] Open
Abstract
The tumor mutational burden (TMB) is increasingly recognized as an emerging biomarker that predicts improved outcomes or response to immune checkpoint inhibitors in cancer. A multitude of technical and biological factors make it difficult to compare TMB values across platforms, histologies, and treatments. Here, we present a mechanistic model that explains the association between panel size, histology, and TMB threshold with panel performance and survival outcome and demonstrate the limitations of existing methods utilized to harmonize TMB across platforms. An increasing number of studies have demonstrated the benefit of tumor mutation burden (TMB), the number of non-silent mutations in the genome, as a predictive biomarker in a clinical setting. Most clinical trials utilize a smaller panel, instead of whole exome sequencing (WES), to estimate the exome-wide mutational load. However, the use of panels introduces panel size dependent sampling noise that could affect the performance of the TMB biomarker. In this work we create a mathematical model of the cancer histology, treatment response, and TMB device system to assess the interplay between cancer type, panel size and tumor mutational burden threshold in patient selection for cancer immunotherapy.
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Affiliation(s)
| | - Chen Zhao
- Illumina, Inc., San Diego, CA, United States of America
| | | | - Shile Zhang
- Illumina, Inc., San Diego, CA, United States of America
| | - Sven Bilke
- Illumina, Inc., San Diego, CA, United States of America
- * E-mail:
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45
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Usuda K, Niida Y, Iwai S, Funasaki A, Sekimura A, Motono N, Yamada S, Uramoto H. Higher Tumor Mutation Burden and Higher PD-L1 Activity Predicts the Efficacy of Immune Checkpoint Inhibitor Treatment in a Patient With Four Lung Cancers. A Case Report. Front Oncol 2020; 10:689. [PMID: 32582526 PMCID: PMC7280536 DOI: 10.3389/fonc.2020.00689] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2020] [Accepted: 04/14/2020] [Indexed: 11/17/2022] Open
Abstract
We experienced a patient who had four lung cancers with different pathological features, with the most advanced being diagnosed as pStage IIA. A month after the resection, the original lung cancer had metastasized to the lung and to the liver. Of the original lung cancers that were resected, the biggest adenocarcinoma of S3 showed 50 × 31 × 17 mm (invasion 50 mm) and pT2bN0M0 (pStage IIA) with epidermal growth factor receptor (EGFR) mutation (–) and anaplastic lymphoma kinase (ALK) translocation (–), but expression of programmed death ligand 1 (PD-L1) (+) tumor proportion score (TPS) 80%. The pleomorphic carcinoma showed 23 × 20 × 17 mm (invasion 23 mm) and pT1cN0M0 (pStage Ic) with EGFR (–), ALK (–), PD-L1 (+), TPS 95%. Tumor mutation burden (TMB), microsatellite instability (MSI), and structural chromosome aberration analysis by DNA microarray were performed. One hundred somatic mutations in the adenocarcinoma and 75 somatic mutations in the pleomorphic carcinoma were identified, which showed an extremely high mutation rate, although only 16 somatic mutations were common between the two cancers. Chromosomal structural aberrations differed greatly between the two cancers, but common aberrations were found in chromosomes 8 and 10 and partially common aberration in chromosomes 4, 14, 17, and X. These results indicated that each lung cancer originated from a common ancestor clone and developed on an individual molecular evolution. The patient received a single injection of pembrolizumab and 13 injections of atezolizumab. Immune checkpoint inhibitor treatment made metastatic pulmonary and liver lesions reduce in size and show as Partial response (PR). Multiple lung cancers with high PD-L1 activity tend to be TMB-high, reflecting rapid molecular evolution and relevance to the patient's response to immune checkpoint inhibitors. Genomic examination could help determine what had happened in multiple cancers on progression and provide useful data to patient treatment. Each lung cancer originated from a common ancestor clone and developed on an individual molecular evolution.
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Affiliation(s)
- Katsuo Usuda
- Department of Thoracic Surgery, Kanazawa Medical University, Ishikawa, Japan
| | - Yo Niida
- Center for Clinical Genomics, Kanazawa Medical University, Ishikawa, Japan.,Division of Genomic Medicine, Kanazawa Medical University, Ishikawa, Japan
| | - Shun Iwai
- Department of Thoracic Surgery, Kanazawa Medical University, Ishikawa, Japan
| | - Aika Funasaki
- Department of Thoracic Surgery, Kanazawa Medical University, Ishikawa, Japan
| | - Atsushi Sekimura
- Department of Thoracic Surgery, Kanazawa Medical University, Ishikawa, Japan
| | - Nozomu Motono
- Department of Thoracic Surgery, Kanazawa Medical University, Ishikawa, Japan
| | - Sohsuke Yamada
- Department of Pathology and Laboratory Medicine, Kanazawa Medical University, Ishikawa, Japan
| | - Hidetaka Uramoto
- Department of Thoracic Surgery, Kanazawa Medical University, Ishikawa, Japan
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46
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Viteri S, Cabrera-Gálvez C, Rosell R. Keynote 407: the combination of pembrolizumab and chemotherapy cracks the shell of squamous cell lung cancer. Transl Lung Cancer Res 2020; 9:828-832. [PMID: 32676347 PMCID: PMC7354136 DOI: 10.21037/tlcr-20-400] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2020] [Accepted: 04/17/2020] [Indexed: 12/14/2022]
Affiliation(s)
- Santiago Viteri
- Dr. Rosell Oncology Institute, Teknon Medical Center, Quironsalud Group, Barcelona, Spain
| | - Carlos Cabrera-Gálvez
- Dr. Rosell Oncology Institute, Teknon Medical Center, Quironsalud Group, Barcelona, Spain
| | - Rafael Rosell
- Catalan Institute of Oncology, Germans Trias i Pujol Health Sciences Institute and Hospital, Badalona, Spain
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47
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Liang J, Chen D, Chen L, She X, Zhang H, Xiao Y. The potentiality of immunotherapy for sarcomas: a summary of potential predictive biomarkers. Future Oncol 2020; 16:1211-1223. [PMID: 32396026 DOI: 10.2217/fon-2020-0118] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
Sarcomas are rare and heterogeneous malignant tumors of mesenchymal origin. A total of 25-50% of patients treated with initial curative intent will develop as recurrent and metastatic disease. In the recurrent and metastatic setting, effect of chemotherapy is limited; therefore, more effective therapies are urgently desired. As a brake for activation of T cell, PD-1/PD-L1 plays a crucial role in the progression of tumor by altering status of immune surveillance. Some success has been acquired recently in the use of PD-1/PD-L1 inhibitors for the treatment of several solid tumors, for examples, non-small-cell lung cancer and melanoma. Immunotherapeutic strategies based on PD-1/PD-L1 for sarcomas have also been explored these years. As in other cancers, major challenges are identification of biomarkers to predict response for immunotherapy, optimization of patient's benefit and minimization of side effects. Therefore, we focused on potential biomarkers of immunotherapy for treatment of sarcomas in this review.
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Affiliation(s)
- Jin Liang
- Department of Medical Oncology, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan province 650032, PR China
| | - Dedian Chen
- Department of Breast Surgery, The Third Affiliated Hospital of Kunming Medical University, Tumor Hospital of Yunnan, Kunming, Yunnan 650118, PR China
| | - Liyao Chen
- Department of Radiotherapy, The First People's Hospital of Yuxi City. Yuxi, Yunnan province 653100, PR China
| | - Xueke She
- The Medical Department, 3D Medicines Inc., Shanghai, 201114, PR China
| | - Hushan Zhang
- The Medical Department, 3D Medicines Inc., Shanghai, 201114, PR China.,Department of Immunology, School of Basic Medical Sciences, Fudan University, Shanghai, 200032, PR China
| | - Yanbin Xiao
- Department of Orthopaedics, The Third Affiliated Hospital of Kunming Medical University, Tumor Hospital of Yunnan, Kunming, Yunnan province 650118, PR China
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48
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Buonaguro L, Mauriello A, Cavalluzzo B, Petrizzo A, Tagliamonte M. Immunotherapy in hepatocellular carcinoma. Ann Hepatol 2020; 18:291-297. [PMID: 31047849 DOI: 10.1016/j.aohep.2019.04.003] [Citation(s) in RCA: 56] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/08/2019] [Accepted: 04/09/2019] [Indexed: 02/08/2023]
Abstract
Hepatocellular carcinoma (HCC) is considered an immunogenic tumor that arises in chronically inflamed livers due to underlying chronic liver disease caused by viral and non-viral pathogenesis. This inflammation leads to tumor development and is associated to higher tumor immunogenicity. For this reason immunotherapeutic approaches may be suitable therapeutic strategies for HCC. Indeed, several preclinical and clinical data support this hypothesis showing that immunotherapy and even more their combination may be a good alternative candidate for the treatment of HCC patients. However, considering that the liver plays a central role in host defense as well as in the maintenance of self-tolerance, it is characterized by a strong intrinsic immune suppressive microenvironment as well as by a high immune evasion, which may represent a major impediment for an effective immune response against tumor. Furthermore, the low expression of tumor antigens on liver cancer cells leads to a lower T-cell activation and tumor infiltration, resulting in a less efficient control of the tumor growth and, consequently, in a worse clinical outcome. For this reason, strategies should be developed to counteract the different factors in the HCC tumor microenvironment playing a major role in reducing the effects of immunotherapy.
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Affiliation(s)
- Luigi Buonaguro
- Cancer Immunoregulation Unit, Istituto Nazionale Tumori - IRCCS - "Fond G. Pascale", Naples, Italy
| | - Angela Mauriello
- Cancer Immunoregulation Unit, Istituto Nazionale Tumori - IRCCS - "Fond G. Pascale", Naples, Italy
| | - Beatrice Cavalluzzo
- Cancer Immunoregulation Unit, Istituto Nazionale Tumori - IRCCS - "Fond G. Pascale", Naples, Italy
| | - Annacarmen Petrizzo
- Cancer Immunoregulation Unit, Istituto Nazionale Tumori - IRCCS - "Fond G. Pascale", Naples, Italy
| | - Maria Tagliamonte
- Cancer Immunoregulation Unit, Istituto Nazionale Tumori - IRCCS - "Fond G. Pascale", Naples, Italy.
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Cellular signalling pathways mediating the pathogenesis of chronic inflammatory respiratory diseases: an update. Inflammopharmacology 2020; 28:795-817. [PMID: 32189104 DOI: 10.1007/s10787-020-00698-3] [Citation(s) in RCA: 52] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2019] [Accepted: 03/02/2020] [Indexed: 02/06/2023]
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Rossi G, Zullo L, Cerbone L, Coco S, Longo L, Tagliamento M, Dal Bello MG, Boccardo S, Alama A, Genova C. ADP ribose polymerase inhibitors for treating non-small cell lung cancer: new additions to the pharmacotherapeutic armamentarium. Expert Opin Pharmacother 2020; 21:679-686. [PMID: 32073315 DOI: 10.1080/14656566.2020.1724283] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
INTRODUCTION Poly (ADP-ribose) polymerase inhibitors (PARPi) are already part of the armamentarium of drugs available against ovarian and breast cancer. There is less data available on the efficacy of these drugs in the treatment of non-small cell lung cancer (NSCLC). AREAS COVERED The authors have analyzed the preclinical studies that justified the use of PARPi in NSCLC. They then evaluate the in vivo efficacy of the combination of these drugs with chemotherapy, radiotherapy, and immunotherapy. EXPERT OPINION Data from clinical trials available to date have discouraged the use of PARPi in association with chemotherapy or radiotherapy in NSCLC. The knowledge available to date opens the door to the use of PARPi in association with immunotherapy. In fact, the activity of these drugs would not be based only on direct cytotoxic action, but also on the modification of the intra-tumor microenvironment, in particular by increasing the expression of PD-L1 on tumor cells. This action might potentially enhance available treatments with a modest increase in toxicity.
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Affiliation(s)
- Giovanni Rossi
- Lung Cancer Unit, IRCCS Ospedale Policlinico San Martino , Genoa, Italy.,Department of Medical, Surgical and Experimental Sciences, University of Sassari , Italy
| | - Lodovica Zullo
- Lung Cancer Unit, IRCCS Ospedale Policlinico San Martino , Genoa, Italy
| | - Luigi Cerbone
- Lung Cancer Unit, IRCCS Ospedale Policlinico San Martino , Genoa, Italy
| | - Simona Coco
- Lung Cancer Unit, IRCCS Ospedale Policlinico San Martino , Genoa, Italy
| | - Luca Longo
- Lung Cancer Unit, IRCCS Ospedale Policlinico San Martino , Genoa, Italy
| | - Marco Tagliamento
- Lung Cancer Unit, IRCCS Ospedale Policlinico San Martino , Genoa, Italy
| | | | - Simona Boccardo
- Lung Cancer Unit, IRCCS Ospedale Policlinico San Martino , Genoa, Italy
| | - Angela Alama
- Lung Cancer Unit, IRCCS Ospedale Policlinico San Martino , Genoa, Italy
| | - Carlo Genova
- Lung Cancer Unit, IRCCS Ospedale Policlinico San Martino , Genoa, Italy
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