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Li L, Zhang M, Sun X, Zhang Y, Su Y, Dong R, Zhang T, Wang Z, Ding Y. GLI1 amplification and fusion in MDM2-amplified low-grade osteosarcoma. J Clin Pathol 2025:jcp-2024-209813. [PMID: 40318859 DOI: 10.1136/jcp-2024-209813] [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: 08/22/2024] [Accepted: 04/03/2025] [Indexed: 05/07/2025]
Abstract
AIMS Glioma-associated oncogene homologue 1 (GLI1) was recently shown to be coamplified with mouse double minute 2 (MDM2), cyclin-dependent kinase 4 (CDK4) and some other adjacent genes in a significant subset of GLI1-altered mesenchymal tumours and well-differentiated/dedifferentiated liposarcomas, which are characterised by MDM2 amplification. Given that MDM2 is also amplified in low-grade osteosarcoma (LGOS), we investigated the prevalence of GLI1 amplifications/fusions in a series of 15 cases of MDM2-amplified LGOS, an area that has not been previously explored. METHODS This study conducted a retrospective analysis and examined GLI1 amplifications/fusions in 15 cases of MDM2-amplified LGOS and 46 cases of other bone tumours and tumour-like lesions using fluorescence in situ hybridisation with a GLI1 amplification probe and a GLI1 break-apart probe. Six cases of LGOS were also tested by next-generation sequencing. RESULTS Fluorescence in situ hybridisation analysis revealed that 13 of 15 (87%) LGOS cases exhibited GLI1 amplification; no fusion gene was found. Next-generation sequencing revealed that all six tested cases showed GLI1 amplification and one case had both GLI1 amplification and GLI1 gene fusion (PPM1H::GLI1). All 46 cases of other bone tumours and tumour-like lesions were negative for GLI1 amplification and GLI1 fusion. CONCLUSION These results indicate that GLI1 amplification is common in LGOS, and GLI1 fusion could occur in LGOS.
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Affiliation(s)
- Lan Li
- Pathology, Beijing Jishuitan Hospital Affiliated to Capital Medical University, Beijing, China
| | - Ming Zhang
- Pathology, Beijing Jishuitan Hospital Affiliated to Capital Medical University, Beijing, China
| | - Xiaoqi Sun
- Pathology, Beijing Jishuitan Hospital Affiliated to Capital Medical University, Beijing, China
| | - Yuzi Zhang
- Burning Rock Biotech Limited, Guangzhou, Guangdong, China
| | - Yongbin Su
- Radiology, Beijing Jishuitan Hospital Affiliated to Capital Medical University, Beijing, China
| | - Rongfang Dong
- Pathology, Beijing Jishuitan Hospital Affiliated to Capital Medical University, Beijing, China
| | - Tingting Zhang
- Pathology, Beijing Jishuitan Hospital Affiliated to Capital Medical University, Beijing, China
| | - Ziyi Wang
- Pathology, Beijing Jishuitan Hospital Affiliated to Capital Medical University, Beijing, China
| | - Yi Ding
- Pathology, Beijing Jishuitan Hospital Affiliated to Capital Medical University, Beijing, China
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2
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Ji G, Yao Q, Ren M, Bai Q, Zhu X, Zhou X. An accurate DNA and RNA based targeted sequencing assay for clinical detection of gene fusions in solid tumors. Sci Rep 2025; 15:7223. [PMID: 40021757 PMCID: PMC11870997 DOI: 10.1038/s41598-025-91640-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2024] [Accepted: 02/21/2025] [Indexed: 03/03/2025] Open
Abstract
Gene fusions are one of the most important molecular biomarkers for tumor diagnosis, classification and targeted therapy. How to accurately detect them is a key issue in clinical work. In this study, a custom-designed integration of DNA and RNA-based next generation sequencing (NGS) assay including 16 targeted therapy related genes was developed and validated to identify gene fusions in solid tumors. This assay accurately identified all 10 different types of fusion in 8 commercial fusion spiked-in reference standards and 29 fusions including 16 different fusion forms in 60 clinical solid tumor samples previously identified by clinical testing methods. In addition, a TPM3::NTRK1 fusion was additionally identified and validated by Sanger sequencing, which showed a false-negative result for the previous result. Mutational abundance limit of detection for the assay was assessed with a series of dilution experiments. These fusions can be stably detected when the mutational abundance is down to 5% for DNA and 250-400 copies/100 ng for RNA. The intra-assay and inter-assay reproducibility was observed in three samples and three replicates. This integration of DNA and RNA-based NGS assay shows excellent performance on formalin-fixed, paraffin-embedded samples, results at different levels can complement each other, thereby facilitating precise diagnosis and treatment.
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Affiliation(s)
- Gang Ji
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
- Institute of Pathology, Fudan University, Shanghai, 200032, China
| | - Qianlan Yao
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
- Institute of Pathology, Fudan University, Shanghai, 200032, China
| | - Min Ren
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
- Institute of Pathology, Fudan University, Shanghai, 200032, China
| | - Qianming Bai
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
- Institute of Pathology, Fudan University, Shanghai, 200032, China
| | - Xiaoli Zhu
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
- Institute of Pathology, Fudan University, Shanghai, 200032, China
| | - Xiaoyan Zhou
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China.
- Institute of Pathology, Fudan University, Shanghai, 200032, China.
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Mina SA, Shanshal M, Leventakos K, Parikh K. Emerging Targeted Therapies in Non-Small-Cell Lung Cancer (NSCLC). Cancers (Basel) 2025; 17:353. [PMID: 39941723 PMCID: PMC11816067 DOI: 10.3390/cancers17030353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2024] [Revised: 01/13/2025] [Accepted: 01/18/2025] [Indexed: 02/16/2025] Open
Abstract
Targeted therapies have changed the treatment landscape of non-small-cell lung cancer and led to improved patient survival across all stages of lung cancer. Newer advances in common and novel oncogenic drivers continue to occur at vigorous speed, making it challenging to stay up to date with the rapidly evolving field. In this article, we review the emerging perspectives in the treatment of actionable targets in lung cancer. We focus on the development of newer KRAS-directed therapies, particularly on non-G12C mutations, pan-RAS inhibitors, and RAS-GTP inhibitors. We also describe the current standard of care for EGFR- and ALK-altered NSCLC and dive into the novel treatments expected to be in the clinic soon. A similar approach is taken toward MET, HER2, RET, ROS1, and FGFR alterations as emerging targets in non-small-cell lung cancer. Finally, we conclude this review with the current body of evidence for targeting TROP-2 as a novel target, potentially of importance in post-targeted therapy scenarios.
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Affiliation(s)
- Syeda A. Mina
- Division of Hematology and Oncology, Mayo Clinic, Rochester, MN 55905, USA
| | | | | | - Kaushal Parikh
- Department of Oncology, Mayo Clinic, Rochester, MN 55905, USA
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Cheng W, Xu T, Yang L, Yan N, Yang J, Fang S. Dramatic response to crizotinib through MET phosphorylation inhibition in rare TFG-MET fusion advanced squamous cell lung cancer. Oncologist 2025; 30:oyae166. [PMID: 38954846 PMCID: PMC11783276 DOI: 10.1093/oncolo/oyae166] [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: 06/16/2023] [Accepted: 05/22/2024] [Indexed: 07/04/2024] Open
Abstract
With the widespread use of next-generation sequencing (NGS) for solid tumors, mesenchymal-to-epithelial transition factor (MET) rearrangement/fusion has been confirmed in multiple cancer types. MET amplification and MET exon 14 skipping mutations induce protein autophosphorylation; however, the pathogenic mechanism and drug sensitivity of MET fusion remain unclear. The following report describes the clinical case of a patient diagnosed with squamous lung cancer bearing a TFG-MET gene fusion. In vitro assays demonstrated MET phosphorylation and oncogenic capacity due to the TFG-MET rearrangement, both of which were inhibited by crizotinib treatment. The patient was treated with crizotinib, which resulted in sustained partial remission for more than 17 months. Collectively, cellular analyses and our case report emphasize the potential of MET fusion as a predictive biomarker for personalized target therapy for solid tumors.
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Affiliation(s)
- Wanwan Cheng
- Department of Respiratory Medicine, Nanjing Chest Hospital, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Ting Xu
- Department of Respiratory Medicine, Nanjing Chest Hospital, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Lu Yang
- The Genetic Analysis Department, YuceBio Technology Co., Ltd., Shenzhen, China
| | - Naimeng Yan
- The Genetic Analysis Department, YuceBio Technology Co., Ltd., Shenzhen, China
| | - Jie Yang
- The Genetic Analysis Department, YuceBio Technology Co., Ltd., Shenzhen, China
| | - Shencun Fang
- Department of Respiratory Medicine, Nanjing Chest Hospital, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
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Ji Z, Wang X, Xin J, Ma L, Zuo D, Li H, Su L, Lv X, Ge S, Zhang L, Liu Y, Zhang Y, Ding T, Deng T, Ba Y, Liu R. Multiomics reveals tumor microenvironment remodeling in locally advanced gastric and gastroesophageal junction cancer following neoadjuvant immunotherapy and chemotherapy. J Immunother Cancer 2024; 12:e010041. [PMID: 39653554 PMCID: PMC11629098 DOI: 10.1136/jitc-2024-010041] [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: 07/17/2024] [Accepted: 11/05/2024] [Indexed: 12/12/2024] Open
Abstract
BACKGROUND Perioperative chemotherapy is the standard of care for patients with locally advanced gastric and gastroesophageal junction cancer. Recent evidence demonstrated the addition of programmed cell death protein 1 (PD-1) inhibitors enhanced therapeutic efficacy. However, the mechanisms of response and resistance remain largely undefined. A detailed multiomic investigation is essential to elucidate these mechanisms. METHODS We performed whole-exome sequencing, whole-transcriptome sequencing, multiplex immunofluorescence and single-cell RNA sequencing on matched pretreatment and post-treatment samples from 30 patients enrolled in an investigator-initiated Phase 2 clinical trial (NCT04908566). All patients received neoadjuvant PD-1 inhibitors in combination with chemotherapy. A major pathologic response (MPR) was defined as the presence of no more than 10% residual viable tumor cells following treatment. RESULTS Before treatment, the positive ratio of CD3+T cells in both the tumor parenchyma and stroma was significantly higher in the non-MPR group compared with the MPR group (p=0.042 and p=0.013, respectively). Least absolute shrinkage and selection operator regression was employed for feature gene selection and 13 genes were ultimately used to construct a predictive model for identifying MPR after surgery. The model exhibited a perfect area under curve (AUC) of 1.000 (95% CI: 1.000 to 1.000, p<0.001). Post-treatment analysis revealed a significant increase in CD3+T cells, CD8+T cells and NK cells in the tumor stroma of MPR patients. In the tumor parenchyma, aside from a marked increase in CD8+T cells and NK cells, a notable reduction in macrophage was also observed (all p<0.05). Importantly, forkheadbox protein 3 (FOXP3), the principal marker for regulatory T cells (Treg) cells, showed a significant decrease during treatment in MPR patients. FOXP3 expression in the non-MPR group was significantly higher than in the MPR group (p=0.0056) after treatment. Furthermore, single-cell RNA sequencing analysis confirmed that nearly all Treg cells were derived from the non-MPR group. CONCLUSIONS Our study highlights the critical role of dynamic changes within the tumor immune microenvironment in predicting the efficacy of neoadjuvant combined immunochemotherapy. We examined the disparities between MPR/non-MPR groups, shedding light on potential mechanisms of immune response and suppression. In addition to bolstering cytotoxic immune responses, specifically targeting Treg cells may be crucial for enhancing treatment outcomes.
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Affiliation(s)
- Zhi Ji
- Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin Key Laboratory of Digestive Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, People's Republic of China
| | - Xia Wang
- Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin Key Laboratory of Digestive Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, People's Republic of China
| | - Jiaqi Xin
- Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin Key Laboratory of Digestive Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, People's Republic of China
| | - Lijun Ma
- Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin Key Laboratory of Digestive Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, People's Republic of China
| | - Duo Zuo
- Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin Key Laboratory of Digestive Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, People's Republic of China
| | - Hongli Li
- Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin Key Laboratory of Digestive Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, People's Republic of China
| | - Lan Su
- Burning Rock Biotech Limited, Guangzhou, Guangdong, People's Republic of China
| | - Xinze Lv
- Burning Rock Biotech Limited, Guangzhou, Guangdong, People's Republic of China
| | - Shaohua Ge
- Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin Key Laboratory of Digestive Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, People's Republic of China
| | - Le Zhang
- Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin Key Laboratory of Digestive Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, People's Republic of China
| | - Yong Liu
- Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin Key Laboratory of Digestive Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, People's Republic of China
| | - Yanhui Zhang
- Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin Key Laboratory of Digestive Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, People's Republic of China
| | - Tingting Ding
- Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin Key Laboratory of Digestive Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, People's Republic of China
| | - Ting Deng
- Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin Key Laboratory of Digestive Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, People's Republic of China
| | - Yi Ba
- Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin Key Laboratory of Digestive Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, People's Republic of China
- Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, People's Republic of China
| | - Rui Liu
- Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin Key Laboratory of Digestive Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, People's Republic of China
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Kim YG, Lee B, Ha C, Lee C, Jung HA, Sun JM, Lee SH, Ahn MJ, Choi YL, Park S, Kim JW. Clinical utility of circulating tumor DNA profiling in detecting targetable fusions in non-small cell lung cancer. Front Oncol 2024; 14:1463341. [PMID: 39507756 PMCID: PMC11540554 DOI: 10.3389/fonc.2024.1463341] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2024] [Accepted: 10/09/2024] [Indexed: 11/08/2024] Open
Abstract
Introduction Numerous studies have suggested high concordance between tissue and circulating tumor DNA (ctDNA) comprehensive genomic profiling (CGP) tests but only few of them focused on fusions. In addition, atypical breakpoints occasionally detected from DNA-based fusion detection make interpretation difficult, and their clinical significance remains unclear. This study evaluated the clinical utility of ctDNA CGP for fusion detection. Methods The results of ctDNA CGP tests performed on patients with stage IV non-small cell lung cancer during routine clinical care were retrospectively reviewed. The concordance between ctDNA CGP and combined tissue test results was analyzed using CGP, immunohistochemistry, fluorescence in situ hybridization, and reverse transcription polymerase chain reaction. The clinical significance of fusions detected by ctDNA CGP, including those with atypical breakpoints at the DNA level, was assessed. Results In total, 264 patients were tested with ctDNA CGP. Fusions were detected in 27 patients (10.2%), and the fusion drivers were RET (n=12, 4.6%), ALK (n=9, 3.4%), ROS1 (n=4, 1.5%), and FGFR2 (n=2, 0.8%). The overall prevalence of fusion in tissue CGP was comparable to that in ctDNA CGP. A total of 371 ctDNA-tissue test pairs were available, and the overall positive and negative percent agreement rates were 92.9% (13/14) and 100.0% (357/357), respectively. One ALK IHC-positive and ctDNA CGP-negative case did not respond to ALK-targeted therapy. Response to targeted therapy was assessed in 16 patients, and a partial response was achieved in all patients, including four with atypical breakpoints. Conclusion Fusion detection using ctDNA CGP showed high concordance with tissue tests and accuracy in predicting therapeutic responses in patients with non-small cell lung cancer. ctDNA CGP may provide an important diagnostic tool for fusion detection.
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Affiliation(s)
- Young-gon Kim
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Boram Lee
- Department of Pathology and Translational Genomics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Changhee Ha
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Cheonghwa Lee
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Hyun Ae Jung
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Jong-Mu Sun
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Se-Hoon Lee
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Myung-Ju Ahn
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Yoon-La Choi
- Department of Pathology and Translational Genomics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Sehhoon Park
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Jong-Won Kim
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
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Conde E, Hernandez S, Rodriguez Carrillo JL, Martinez R, Alonso M, Curto D, Jimenez B, Caminoa A, Benito A, Garrido P, Clave S, Arriola E, Esteban-Rodriguez I, De Castro J, Sansano I, Felip E, Rojo F, Dómine M, Abdulkader I, Garcia-Gonzalez J, Teixido C, Reguart N, Compañ D, Insa A, Mancheño N, Palanca S, Juan-Vidal O, Baixeras N, Nadal E, Cebollero M, Calles A, Martin P, Salas C, Provencio M, Aranda I, Massuti B, Lopez-Vilaro L, Majem M, Paz-Ares L, Lopez-Rios F. RET Fusion Testing in Patients With NSCLC: The RETING Study. JTO Clin Res Rep 2024; 5:100653. [PMID: 38525319 PMCID: PMC10957499 DOI: 10.1016/j.jtocrr.2024.100653] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Revised: 01/31/2024] [Accepted: 02/18/2024] [Indexed: 03/26/2024] Open
Abstract
Introduction RET inhibitors with impressive overall response rates are now available for patients with NSCLC, yet the identification of RET fusions remains a difficult challenge. Most guidelines encourage the upfront use of next-generation sequencing (NGS), or alternatively, fluorescence in situ hybridization (FISH) or reverse transcriptase-polymerase chain reaction (RT-PCR) when NGS is not possible or available. Taken together, the suboptimal performance of single-analyte assays to detect RET fusions, although consistent with the notion of encouraging universal NGS, is currently widening some of the clinical practice gaps in the implementation of predictive biomarkers in patients with advanced NSCLC. Methods This situation prompted us to evaluate several RET assays in a large multicenter cohort of RET fusion-positive NSCLC (n = 38) to obtain real-world data. In addition to RNA-based NGS (the criterion standard method), all positive specimens underwent break-apart RET FISH with two different assays and were also tested by an RT-PCR assay. Results The most common RET partners were KIF5B (78.9%), followed by CCDC6 (15.8%). The two RET NGS-positive but FISH-negative samples contained a KIF5B(15)-RET(12) fusion. The three RET fusions not identified with RT-PCR were AKAP13(35)-RET(12), KIF5B(24)-RET(9) and KIF5B(24)-RET(11). All three false-negative RT-PCR cases were FISH-positive, exhibited a typical break-apart pattern, and contained a very high number of positive tumor cells with both FISH assays. Signet ring cells, psammoma bodies, and pleomorphic features were frequently observed (in 34.2%, 39.5%, and 39.5% of tumors, respectively). Conclusions In-depth knowledge of the advantages and disadvantages of the different RET testing methodologies could help clinical and molecular tumor boards implement and maintain sensible algorithms for the rapid and effective detection of RET fusions in patients with NSCLC. The likelihood of RET false-negative results with both FISH and RT-PCR reinforces the need for upfront NGS in patients with NSCLC.
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Affiliation(s)
- Esther Conde
- Hospital Universitario 12 de Octubre, Madrid, Spain
- Universidad Complutense, Madrid, Spain
- Research Institute Hospital 12 de Octubre (i+12), Madrid, Spain
- Centro de Investigación Biomedica en Red Cancer (CIBERONC), Madrid, Spain
| | - Susana Hernandez
- Hospital Universitario 12 de Octubre, Madrid, Spain
- Research Institute Hospital 12 de Octubre (i+12), Madrid, Spain
| | | | | | - Marta Alonso
- Hospital Universitario 12 de Octubre, Madrid, Spain
- Research Institute Hospital 12 de Octubre (i+12), Madrid, Spain
| | - Daniel Curto
- Hospital Universitario 12 de Octubre, Madrid, Spain
| | | | | | | | - Pilar Garrido
- Centro de Investigación Biomedica en Red Cancer (CIBERONC), Madrid, Spain
- Hospital Universitario Ramon y Cajal, Madrid, Spain
| | - Sergi Clave
- Centro de Investigación Biomedica en Red Cancer (CIBERONC), Madrid, Spain
- Hospital del Mar, Barcelona, Spain
| | - Edurne Arriola
- Centro de Investigación Biomedica en Red Cancer (CIBERONC), Madrid, Spain
- Hospital del Mar, Barcelona, Spain
| | | | - Javier De Castro
- Centro de Investigación Biomedica en Red Cancer (CIBERONC), Madrid, Spain
- Hospital Universitario La Paz, Madrid, Spain
- Instituto de Investigacion Sanitaria del Hospital Universitario La Paz (IdiPAZ), Madrid, Spain
| | - Irene Sansano
- Hospital Universitario Vall d'Hebron, Barcelona, Spain
| | | | - Federico Rojo
- Centro de Investigación Biomedica en Red Cancer (CIBERONC), Madrid, Spain
- Instituto de Investigacion Sanitaria-Fundacion Jimenez Diaz (IIS-FJD), Madrid, Spain
| | - Manuel Dómine
- Instituto de Investigacion Sanitaria-Fundacion Jimenez Diaz (IIS-FJD), Madrid, Spain
- Hospital Universitario Fundación Jiménez Díaz, Madrid, Spain
| | - Ihab Abdulkader
- Hospital Clinico Universitario de Santiago, Santiago de Compostela, Spain
| | | | - Cristina Teixido
- Hospital Clinic, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain
| | - Noemi Reguart
- Hospital Clinic, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain
| | | | - Amelia Insa
- Hospital Clinico Universitario, Valencia, Spain
| | - Nuria Mancheño
- Hospital Universitario y Politecnico La Fe, Valencia, Spain
| | - Sarai Palanca
- Hospital Universitario y Politecnico La Fe, Valencia, Spain
| | | | - Nuria Baixeras
- Hospital Universitari de Bellvitge, L’Hospitalet, Barcelona, Spain
| | - Ernest Nadal
- Catalan Institute of Oncology, L’Hospitalet, Barcelona, Spain
| | - Maria Cebollero
- Hospital General Universitario Gregorio Marañón, Madrid, Spain
| | - Antonio Calles
- Hospital General Universitario Gregorio Marañón, Madrid, Spain
| | - Paloma Martin
- Centro de Investigación Biomedica en Red Cancer (CIBERONC), Madrid, Spain
- Instituto de Investigación Sanitaria Hospital Universitario Puerta de Hierro, Madrid, Spain
| | - Clara Salas
- Hospital Universitario Puerta de Hierro, Madrid, Spain
| | | | - Ignacio Aranda
- Hospital General Universitario Dr. Balmis – Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL), Alicante, Spain
| | - Bartomeu Massuti
- Hospital General Universitario Dr. Balmis – Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL), Alicante, Spain
| | | | | | - Luis Paz-Ares
- Hospital Universitario 12 de Octubre, Madrid, Spain
- Universidad Complutense, Madrid, Spain
- Research Institute Hospital 12 de Octubre (i+12), Madrid, Spain
- Centro de Investigación Biomedica en Red Cancer (CIBERONC), Madrid, Spain
| | - Fernando Lopez-Rios
- Hospital Universitario 12 de Octubre, Madrid, Spain
- Universidad Complutense, Madrid, Spain
- Research Institute Hospital 12 de Octubre (i+12), Madrid, Spain
- Centro de Investigación Biomedica en Red Cancer (CIBERONC), Madrid, Spain
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Zhang X, Li L, Gao F, Liu B, Li J, Ren S, Peng S, Qiu W, Pu X, Ye Q. Fluorescent in situ hybridization has limitations in screening NRG1 gene rearrangements. Diagn Pathol 2024; 19:1. [PMID: 38173003 PMCID: PMC10762970 DOI: 10.1186/s13000-023-01424-7] [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: 08/07/2023] [Accepted: 11/26/2023] [Indexed: 01/05/2024] Open
Abstract
BACKGROUND NRG1 fusion is a promising therapeutic target for various tumors but its prevalence is extremely low, and there are no standardized testing algorithms for genetic assessment. MOTHODS In this study, we analyzed 3008 tumors using Fluorescence in situ hybridization (FISH) and immunohistochemistry (IHC) to screen for NRG1 translocation and p-HER3 expression. RESULTS Our results demonstrated no cases with p-HER3 positivity through IHC. Nonetheless, 29 cases (0.96%) were identified positive for NRG1 translocation through FISH, with three different signal types. FISH-positive cases were subsequently subjected to next-generation sequencing (NGS) testing. However, only eight of these cases were confirmed with NRG1 fusion through NGS. Notably, we divided FISH into three types and FISH type C group was consistent with NGS results. All NGS NRG1 fusion tumors were adenocarcinomas, with a higher prevalence in females. Our findings indicate that although FISH has limitations in screening NRG1 gene rearrangements, NRG1 fusions can be reliably detected with signals exhibiting low copy numbers of the 5'-end of the gene and no fusion signals. CONCLUSION Considering the high cost of NGS, FISH remains a useful method for screening NRG1 fusions in various types of tumors. This study provides valuable insights into the molecular mechanisms of NRG1 fusion and identifies potential treatment targets for patients suffering from this disease.
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Affiliation(s)
- Xiaomei Zhang
- Department of Pathology, Nanjing Jiangning Hospital, Nanjing, 211100, Jiangsu Province, China
| | - Lin Li
- Department of Pathology, The Affiliated Drum Tower Hospital of Medical School,Nanjing University, Nanjing, 210008, Jiangsu Province, China
| | - Fuping Gao
- Department of Pathology, Nanjing Gaochun People's Hospital, Nanjing, 210008, Jiangsu Province, China
| | - Binbin Liu
- Department of Pathology, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, 210008, Jiangsu Province, China
- Jiangsu Province Academy of Traditional Chinese Medicine, Nanjing, 210008, Jiangsu Province, China
| | - Jing Li
- Berry Oncology Corporation, Beijing, 100102, China
| | - Shuang Ren
- Department of Pathology, The Affiliated Drum Tower Hospital of Medical School,Nanjing University, Nanjing, 210008, Jiangsu Province, China
| | - Shuangshuang Peng
- Department of Pathology, The Affiliated Drum Tower Hospital of Medical School,Nanjing University, Nanjing, 210008, Jiangsu Province, China
| | - Wei Qiu
- Department of Pathology, Nanjing Jiangning Hospital, Nanjing, 211100, Jiangsu Province, China.
| | - Xiaohong Pu
- Department of Pathology, The Affiliated Drum Tower Hospital of Medical School,Nanjing University, Nanjing, 210008, Jiangsu Province, China.
| | - Qing Ye
- Department of Pathology, Division of Life Sciences and Medicine, The First Affiliated Hospital of University of Science and Technology of China (USTC), University of Science and Technology of China, Hefei, 230036, Anhui Province, China.
- Intelligent Pathology Institute, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230036, Anhui Province, China.
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Pu X, Xu C, Wang Q, Wang W, Wu F, Cai X, Song Z, Yu J, Zhong W, Wang Z, Zhang Y, Liu J, Zhang S, Liu A, Li W, Zhan P, Liu H, Lv T, Miao L, Min L, Lin G, Huang L, Yuan J, Jiang Z, Rao C, Lv D, Yu Z, Li X, Tang C, Zhou C, Zhang J, Guo H, Chu Q, Meng R, Liu X, Wu J, Zhou J, Zhu Z, Pan W, Pang F, Huang J, Wang K, Wu F, Shen T, Zou S, Xu B, Wang L, Zhu Y, Lin X, Cai J, Xu L, Li J, Jiao X, Li K, Feng H, Wang L, Du Y, Yao W, Shi X, Niu X, Yuan D, Yao Y, Kang J, Zhang J, Zhang C, Fu J, Huang J, Zhang Y, Sun P, Wang H, Ye M, Wang D, Wang Z, Hao Y, Wang Z, Wan B, Lv D, Lan G, Yang S, Shi L, Wang Y, Li B, Zhang Z, Li Z, Li Y, Liu Z, Yang N, Wang H, Huang W, Hong Z, Wang G, Wang J, Fang M, Fang Y, Zhu X, Shen Y, Zhang Y, Ma S, Song Y, Lu Y, et alPu X, Xu C, Wang Q, Wang W, Wu F, Cai X, Song Z, Yu J, Zhong W, Wang Z, Zhang Y, Liu J, Zhang S, Liu A, Li W, Zhan P, Liu H, Lv T, Miao L, Min L, Lin G, Huang L, Yuan J, Jiang Z, Rao C, Lv D, Yu Z, Li X, Tang C, Zhou C, Zhang J, Guo H, Chu Q, Meng R, Liu X, Wu J, Zhou J, Zhu Z, Pan W, Pang F, Huang J, Wang K, Wu F, Shen T, Zou S, Xu B, Wang L, Zhu Y, Lin X, Cai J, Xu L, Li J, Jiao X, Li K, Feng H, Wang L, Du Y, Yao W, Shi X, Niu X, Yuan D, Yao Y, Kang J, Zhang J, Zhang C, Fu J, Huang J, Zhang Y, Sun P, Wang H, Ye M, Wang D, Wang Z, Hao Y, Wang Z, Wan B, Lv D, Lan G, Yang S, Shi L, Wang Y, Li B, Zhang Z, Li Z, Li Y, Liu Z, Yang N, Wang H, Huang W, Hong Z, Wang G, Wang J, Fang M, Fang Y, Zhu X, Shen Y, Zhang Y, Ma S, Song Y, Lu Y, Fang W, Li Z, Wu L. Expert consensus on the diagnosis and treatment of RET gene fusion non-small cell lung cancer in China. Thorac Cancer 2023; 14:3166-3177. [PMID: 37718634 PMCID: PMC10626248 DOI: 10.1111/1759-7714.15105] [Show More Authors] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Accepted: 08/29/2023] [Indexed: 09/19/2023] Open
Abstract
The rearranged during transfection (RET) gene is one of the receptor tyrosine kinases and cell-surface molecules responsible for transmitting signals that regulate cell growth and differentiation. In non-small cell lung cancer (NSCLC), RET fusion is a rare driver gene alteration associated with a poor prognosis. Fortunately, two selective RET inhibitors (sRETi), namely pralsetinib and selpercatinib, have been approved for treating RET fusion NSCLC due to their remarkable efficacy and safety profiles. These inhibitors have shown the ability to overcome resistance to multikinase inhibitors (MKIs). Furthermore, ongoing clinical trials are investigating several second-generation sRETis that are specifically designed to target solvent front mutations, which pose a challenge for first-generation sRETis. The effective screening of patients is the first crucial step in the clinical application of RET-targeted therapy. Currently, four methods are widely used for detecting gene rearrangements: next-generation sequencing (NGS), reverse transcription-polymerase chain reaction (RT-PCR), fluorescence in situ hybridization (FISH), and immunohistochemistry (IHC). Each of these methods has its advantages and limitations. To streamline the clinical workflow and improve diagnostic and treatment strategies for RET fusion NSCLC, our expert group has reached a consensus. Our objective is to maximize the clinical benefit for patients and promote standardized approaches to RET fusion screening and therapy.
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Affiliation(s)
- Xingxiang Pu
- The Second Department of Thoracic Oncology, Hunan Cancer Hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South UniversityCentral South UniversityChangshaPeople's Republic of China
| | - Chunwei Xu
- Institute of Cancer and Basic Medicine (ICBM)Chinese Academy of SciencesHangzhouPeople's Republic of China
- Department of Respiratory Medicine, Affiliated Jinling HospitalMedical School of Nanjing UniversityNanjingPeople's Republic of China
| | - Qian Wang
- Department of Respiratory MedicineAffiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese MedicineNanjingPeople's Republic of China
| | - Wenxian Wang
- Department of ChemotherapyChinese Academy of Sciences University Cancer Hospital (Zhejiang Cancer Hospital)HangzhouPeople's Republic of China
| | - Fang Wu
- Department of Oncology, The Second Xiangya HospitalCentral South UniversityChangshaPeople's Republic of China
| | - Xiuyu Cai
- Department of VIP Inpatient, Sun Yat‐Sen University Cancer Center, State Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer MedicineGuangzhouPeople's Republic of China
| | - Zhengbo Song
- Department of ChemotherapyChinese Academy of Sciences University Cancer Hospital (Zhejiang Cancer Hospital)HangzhouPeople's Republic of China
| | - Jinpu Yu
- Department of Cancer Molecular Diagnostics CoreTianjin Medical University Cancer Institute and HospitalTianjinPeople's Republic of China
| | - Wenzhao Zhong
- Guangdong Lung Cancer Institute, Guangdong Provincial Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's HospitalGuangdong Academy of Medical Sciences, School of MedicineGuangzhouPeople's Republic of China
| | - Zhijie Wang
- State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingPeople's Republic of China
| | - Yongchang Zhang
- Department of Medical Oncology, Lung Cancer and Gastrointestinal Unit, Hunan Cancer Hospital/The Affiliated Cancer Hospital of Xiangya School of MedicineCentral South UniversityChangshaPeople's Republic of China
| | - Jingjing Liu
- Department of Thoracic CancerJilin Cancer HospitalJilinPeople's Republic of China
| | - Shirong Zhang
- Translational Medicine Research Center, Key Laboratory of Clinical Cancer Pharmacology and Toxicology Research of Zhejiang Province, Affiliated Hangzhou First People's Hospital, Cancer CenterZhejiang University School of MedicineHangzhouPeople's Republic of China
| | - Anwen Liu
- Department of OncologySecond Affiliated Hospital of Nanchang UniversityNanchangPeople's Republic of China
| | - Wen Li
- Key Laboratory of Respiratory Disease of Zhejiang Province, Department of Respiratory and Critical Care Medicine, Second Affiliated Hospital of Zhejiang University School of Medicine, Cancer CenterZhejiang UniversityHangzhouPeople's Republic of China
| | - Ping Zhan
- Department of Respiratory Medicine, Affiliated Jinling HospitalMedical School of Nanjing UniversityNanjingPeople's Republic of China
| | - Hongbing Liu
- Department of Respiratory Medicine, Affiliated Jinling HospitalMedical School of Nanjing UniversityNanjingPeople's Republic of China
| | - Tangfeng Lv
- Department of Respiratory Medicine, Affiliated Jinling HospitalMedical School of Nanjing UniversityNanjingPeople's Republic of China
| | - Liyun Miao
- Department of Respiratory Medicine, Affiliated Drum Tower HospitalMedical School of Nanjing UniversityNanjingPeople's Republic of China
| | - Lingfeng Min
- Department of Respiratory MedicineClinical Medical School of Yangzhou University, Subei People's Hospital of Jiangsu ProvinceYangzhouPeople's Republic of China
| | - Gen Lin
- Department of Medical OncologyFujian Medical University Cancer Hospital & Fujian Cancer HospitalFuzhouPeople's Republic of China
| | - Long Huang
- Department of OncologySecond Affiliated Hospital of Nanchang UniversityNanchangPeople's Republic of China
| | - Jingping Yuan
- Department of PathologyRenmin Hospital of Wuhan UniversityWuhanPeople's Republic of China
| | - Zhansheng Jiang
- Department of Integrative OncologyTianjin Medical University Cancer Institute and HospitalTianjinPeople's Republic of China
| | - Chuangzhou Rao
- Department of Radiotherapy and Chemotherapy, Hwamei HospitalUniversity of Chinese Academy of SciencesNingboPeople's Republic of China
| | - Dongqing Lv
- Department of Pulmonary MedicineTaizhou Hospital of Wenzhou Medical UniversityTaizhouPeople's Republic of China
| | - Zongyang Yu
- Department of Respiratory Medicine, the 900th Hospital of the Joint Logistics Team (the Former Fuzhou General Hospital)Fujian Medical UniversityFuzhouPeople's Republic of China
| | - Xiaoyan Li
- Department of Oncology, Beijing Tiantan HospitalCapital Medical UniversityBeijingPeople's Republic of China
| | - Chuanhao Tang
- Department of Medical OncologyPeking University International HospitalBeijingPeople's Republic of China
| | - Chengzhi Zhou
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease; Guangzhou Institute of Respiratory HealthThe First Affiliated Hospital of Guangzhou Medical University (The First Affiliated Hospital of Guangzhou Medical University)GuangzhouPeople's Republic of China
| | - Junping Zhang
- Department of Thoracic Oncology, Shanxi Academy of Medical SciencesShanxi Bethune HospitalTaiyuanPeople's Republic of China
| | - Hui Guo
- Department of Medical OncologyThe First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anPeople's Republic of China
| | - Qian Chu
- Department of Oncology, Tongji Hospital of Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanPeople's Republic of China
| | - Rui Meng
- Cancer Center, Union Hospital, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanPeople's Republic of China
| | - Xuewen Liu
- Department of Oncology, the Third Xiangya HospitalCentral South UniversityChangshaPeople's Republic of China
| | - Jingxun Wu
- Department of Medical Oncology, the First Affiliated Hospital of MedicineXiamen UniversityXiamenPeople's Republic of China
| | - Jin Zhou
- Department of Medical Oncology, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of MedicineUniversity of Electronic Science and TechnologyChengduPeople's Republic of China
| | - Zhengfei Zhu
- Department of Radiation OncologyFudan University Shanghai Cancer CenterShanghaiPeople's Republic of China
| | - Weiwei Pan
- Department of Cell Biology, College of MedicineJiaxing UniversityJiaxingPeople's Republic of China
| | - Fei Pang
- Department of MedicalShanghai OrigiMed Co, LtdShanghaiPeople's Republic of China
| | - Jintao Huang
- Department of MedicalShanghai OrigiMed Co, LtdShanghaiPeople's Republic of China
| | - Kai Wang
- Department of MedicalShanghai OrigiMed Co, LtdShanghaiPeople's Republic of China
| | - Fan Wu
- Department of MedicalMenarini Silicon Biosystems SpaShanghaiPeople's Republic of China
| | - Tingting Shen
- Department of MedicalStone Pharmaceuticals (Suzhou) Co., Ltd.ShanghaiPeople's Republic of China
| | - Shirui Zou
- Department of MedicalStone Pharmaceuticals (Suzhou) Co., Ltd.ShanghaiPeople's Republic of China
| | - Bingwei Xu
- Department of Biotherapy, Cancer InstituteFirst Affiliated Hospital of China Medical UniversityShenyangPeople's Republic of China
| | - Liping Wang
- Department of OncologyBaotou Cancer HospitalBaotouPeople's Republic of China
| | - Youcai Zhu
- Department of Thoracic Disease Diagnosis and Treatment Center, Zhejiang Rongjun HospitalThe Third Affiliated Hospital of Jiaxing UniversityJiaxingPeople's Republic of China
| | - Xinqing Lin
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease; Guangzhou Institute of Respiratory HealthThe First Affiliated Hospital of Guangzhou Medical University (The First Affiliated Hospital of Guangzhou Medical University)GuangzhouPeople's Republic of China
| | - Jing Cai
- Department of OncologySecond Affiliated Hospital of Nanchang UniversityNanchangPeople's Republic of China
| | - Ling Xu
- Department of Interventional Pulmonary DiseasesAnhui Chest HospitalHefeiPeople's Republic of China
| | - Jisheng Li
- Department of Medical Oncology, Qilu Hospital, Cheeloo College of MedicineShandong UniversityJinnanPeople's Republic of China
| | - Xiaodong Jiao
- Department of Medical Oncology, Shanghai Changzheng HospitalNaval Medical UniversityShanghaiPeople's Republic of China
| | - Kainan Li
- Department of Oncology, Shandong Provincial Third Hospital, Cheeloo College of MedicineShandong UniversityJinanPeople's Republic of China
| | - Huijing Feng
- Department of Thoracic Oncology, Shanxi Academy of Medical SciencesShanxi Bethune HospitalTaiyuanPeople's Republic of China
| | - Lin Wang
- Department of Pathology, Shanxi Academy of Medical SciencesShanxi Bethune HospitalTaiyuanPeople's Republic of China
| | - Yingying Du
- Department of OncologyThe First Affiliated Hospital of Anhui Medical UniversityHefeiPeople's Republic of China
| | - Wang Yao
- Department of Interventional Oncology, The First Affiliated HospitalSun Yat‐sen UniversityGuangzhouPeople's Republic of China
| | - Xuefei Shi
- Department of Respiratory Medicine, Huzhou HospitalZhejiang University School of MedicineHuzhouPeople's Republic of China
| | - Xiaomin Niu
- Department of Shanghai Lung Cancer Center, Shanghai Chest HospitalShanghai Jiao Tong UniversityShanghaiPeople's Republic of China
| | - Dongmei Yuan
- Department of Respiratory Medicine, Affiliated Jinling HospitalMedical School of Nanjing UniversityNanjingPeople's Republic of China
| | - Yanwen Yao
- Department of Respiratory Medicine, Affiliated Jinling HospitalMedical School of Nanjing UniversityNanjingPeople's Republic of China
| | - Jing Kang
- Guangdong Lung Cancer Institute, Guangdong Provincial Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's HospitalGuangdong Academy of Medical Sciences, School of MedicineGuangzhouPeople's Republic of China
| | - Jiatao Zhang
- Guangdong Lung Cancer Institute, Guangdong Provincial Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's HospitalGuangdong Academy of Medical Sciences, School of MedicineGuangzhouPeople's Republic of China
| | - Chao Zhang
- Guangdong Lung Cancer Institute, Guangdong Provincial Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's HospitalGuangdong Academy of Medical Sciences, School of MedicineGuangzhouPeople's Republic of China
| | - Jianfei Fu
- Department of Medical Oncology, Affiliated Jinhua HospitalZhejiang University School of MedicineJinhuaPeople's Republic of China
| | - Jianhui Huang
- Department of OncologyLishui Municipal Central HospitalLishuiPeople's Republic of China
| | - Yinbin Zhang
- Department of Oncology, the Second Affiliated Hospital of Medical CollegeXi'an Jiaotong UniversityXi'anPeople's Republic of China
| | - Pingli Sun
- Department of PathologyThe Second Hospital of Jilin UniversityChangchunPeople's Republic of China
| | - Hong Wang
- Senior Department of OncologyThe 5th Medical Center of PLA General HospitalBeijingPeople's Republic of China
| | - Mingxiang Ye
- Department of Respiratory Medicine, Affiliated Jinling HospitalMedical School of Nanjing UniversityNanjingPeople's Republic of China
| | - Dong Wang
- Department of Respiratory Medicine, Affiliated Jinling HospitalMedical School of Nanjing UniversityNanjingPeople's Republic of China
| | - Zhaofeng Wang
- Department of Respiratory Medicine, Affiliated Jinling HospitalMedical School of Nanjing UniversityNanjingPeople's Republic of China
| | - Yue Hao
- Department of ChemotherapyChinese Academy of Sciences University Cancer Hospital (Zhejiang Cancer Hospital)HangzhouPeople's Republic of China
| | - Zhen Wang
- Department of Radiation Oncology, Affiliated Jinling HospitalMedical School of NanjingNanjingPeople's Republic of China
| | - Bing Wan
- Department of Respiratory MedicineThe Affiliated Jiangning Hospital of Nanjing Medical UniversityNanjingPeople's Republic of China
| | - Donglai Lv
- Department of Clinical OncologyThe 901 Hospital of Joint Logistics Support Force of People Liberation ArmyHefeiPeople's Republic of China
| | - Gang Lan
- Department of Thoracic Disease Diagnosis and Treatment Center, Zhejiang Rongjun HospitalThe Third Affiliated Hospital of Jiaxing UniversityJiaxingPeople's Republic of China
| | - Shengjie Yang
- Department of Thoracic SurgeryChuxiong Yi Autonomous Prefecture People's HospitalChuxiongPeople's Republic of China
| | - Lin Shi
- Department of Respiratory Medicine, Zhongshan HospitalFudan UniversityShanghaiPeople's Republic of China
| | - Yina Wang
- Department of Oncology, The First Affiliated Hospital, College of MedicineZhejiang UniversityHangzhouPeople's Republic of China
| | - Bihui Li
- Department of OncologyThe Second Affiliated Hospital of Guilin Medical UniversityGuilinPeople's Republic of China
| | - Zhang Zhang
- International Cooperative Laboratory of Traditional Chinese Medicine Modernization and Innovative Drug Discovery of Chinese Ministry of Education (MOE), Guangzhou City Key Laboratory of Precision Chemical Drug Development, School of PharmacyJinan UniversityGuangzhouPeople's Republic of China
| | - Zhongwu Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of PathologyPeking University Cancer Hospital & InstituteBeijingPeople's Republic of China
| | - Yuan Li
- Department of PathologyFudan University Shanghai Cancer CenterShanghaiPeople's Republic of China
| | - Zhefeng Liu
- Senior Department of OncologyThe 5th Medical Center of PLA General HospitalBeijingPeople's Republic of China
| | - Nong Yang
- Department of Medical Oncology, Lung Cancer and Gastrointestinal Unit, Hunan Cancer Hospital/The Affiliated Cancer Hospital of Xiangya School of MedicineCentral South UniversityChangshaPeople's Republic of China
| | - Huijuan Wang
- Department of Medical OncologyThe Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer HospitalZhengzhouPeople's Republic of China
| | - Wenbin Huang
- Department of Pathologythe First Affiliated Hospital of Henan University of Science and TechnologyLuoyangPeople's Republic of China
| | - Zhuan Hong
- Department of Medical Oncology, Jiangsu Cancer HospitalNanjing Medical University Affiliated Cancer HospitalNanjingPeople's Republic of China
| | - Guansong Wang
- Institute of Respiratory Diseases, Xinqiao HospitalThird Military Medical UniversityChongqingPeople's Republic of China
| | - Jiandong Wang
- Department of Pathology, Affiliated Jinling HospitalMedical School of Nanjing UniversityNanjingPeople's Republic of China
| | - Meiyu Fang
- Department of ChemotherapyChinese Academy of Sciences University Cancer Hospital (Zhejiang Cancer Hospital)HangzhouPeople's Republic of China
| | - Yong Fang
- Department of Medical Oncology, Sir Run Run Shaw HospitalZhejiang UniversityHangzhouPeople's Republic of China
| | - Xixu Zhu
- Department of Radiation Oncology, Affiliated Jinling HospitalMedical School of NanjingNanjingPeople's Republic of China
| | - Yi Shen
- Department of Thoracic Surgery, Affiliated Jinling HospitalMedical School of Nanjing UniversityNanjingPeople's Republic of China
| | - Yiping Zhang
- Department of ChemotherapyChinese Academy of Sciences University Cancer Hospital (Zhejiang Cancer Hospital)HangzhouPeople's Republic of China
| | - Shenglin Ma
- Department of Oncology, Key Laboratory of Clinical Cancer Pharmacology and Toxicology Research of Zhejiang Province, Affiliated Hangzhou Cancer Hospital, Cancer CenterZhejiang University School of MedicineHangzhouPeople's Republic of China
| | - Yong Song
- Department of Respiratory Medicine, Affiliated Jinling HospitalMedical School of Nanjing UniversityNanjingPeople's Republic of China
| | - Yuanzhi Lu
- Department of Clinical PathologyThe First Affiliated Hospital of Jinan UniversityGuangzhouPeople's Republic of China
| | - Wenfeng Fang
- Department of Medical Oncology, Sun Yat‐sen University Cancer Center, State Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer MedicineGuangzhouPeople's Republic of China
| | - Ziming Li
- Department of Shanghai Lung Cancer Center, Shanghai Chest HospitalShanghai Jiao Tong UniversityShanghaiPeople's Republic of China
| | - Lin Wu
- The Second Department of Thoracic Oncology, Hunan Cancer Hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South UniversityCentral South UniversityChangshaPeople's Republic of China
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Salokas K, Dashi G, Varjosalo M. Decoding Oncofusions: Unveiling Mechanisms, Clinical Impact, and Prospects for Personalized Cancer Therapies. Cancers (Basel) 2023; 15:3678. [PMID: 37509339 PMCID: PMC10377698 DOI: 10.3390/cancers15143678] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Revised: 07/13/2023] [Accepted: 07/14/2023] [Indexed: 07/30/2023] Open
Abstract
Cancer-associated gene fusions, also known as oncofusions, have emerged as influential drivers of oncogenesis across a diverse range of cancer types. These genetic events occur via chromosomal translocations, deletions, and inversions, leading to the fusion of previously separate genes. Due to the drastic nature of these mutations, they often result in profound alterations of cellular behavior. The identification of oncofusions has revolutionized cancer research, with advancements in sequencing technologies facilitating the discovery of novel fusion events at an accelerated pace. Oncofusions exert their effects through the manipulation of critical cellular signaling pathways that regulate processes such as proliferation, differentiation, and survival. Extensive investigations have been conducted to understand the roles of oncofusions in solid tumors, leukemias, and lymphomas. Large-scale initiatives, including the Cancer Genome Atlas, have played a pivotal role in unraveling the landscape of oncofusions by characterizing a vast number of cancer samples across different tumor types. While validating the functional relevance of oncofusions remains a challenge, even non-driver mutations can hold significance in cancer treatment. Oncofusions have demonstrated potential value in the context of immunotherapy through the production of neoantigens. Their clinical importance has been observed in both treatment and diagnostic settings, with specific fusion events serving as therapeutic targets or diagnostic markers. However, despite the progress made, there is still considerable untapped potential within the field of oncofusions. Further research and validation efforts are necessary to understand their effects on a functional basis and to exploit the new targeted treatment avenues offered by oncofusions. Through further functional and clinical studies, oncofusions will enable the advancement of precision medicine and the drive towards more effective and specific treatments for cancer patients.
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Affiliation(s)
- Kari Salokas
- Institute of Biotechnology, HiLIFE, University of Helsinki, 00790 Helsinki, Finland
| | - Giovanna Dashi
- Institute of Biotechnology, HiLIFE, University of Helsinki, 00790 Helsinki, Finland
| | - Markku Varjosalo
- Institute of Biotechnology, HiLIFE, University of Helsinki, 00790 Helsinki, Finland
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He J, Yao Y, Quan F, Lu Z, Wang J, Gao W. Partial Response to Crizotinib in a Lung Adenocarcinoma Patient with a Novel FBXO11 (Intergenic)-ALK (Exon 20-29) Fusion. Onco Targets Ther 2023; 16:535-540. [PMID: 37441362 PMCID: PMC10335319 DOI: 10.2147/ott.s406234] [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: 01/29/2023] [Accepted: 06/13/2023] [Indexed: 07/15/2023] Open
Abstract
Intergenic-gene fusion detected by DNA-seq is particularly confusing for drug selection since the function of the intergenic region located upstream is unknown. We reported a case of a 49-year-old male with advanced lung adenocarcinoma, who was detected FBXO11 (intergenic)-ALK (exon 20-29) by DNA-seq, and FISH analysis revealed a positive result. The patient was treated with crizotinib and achieved a PR. The canonical EML4 (exon 1-13)-ALK (exon 20-29) fusion verified by RNA-seq suggested a complex EML4 (exon 1-13)-FBXO11 (intergenic)-ALK (exon 20-29) tripartite rearrangement at the DNA level. Our case emphasized the necessity of RNA-seq for verifying intergenic-gene fusion. Simultaneously, the pathogenic germline SLX4 variant and extensive CNVs of DNA segment were detected by DNA-seq deserves our attention.
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Affiliation(s)
- Jing He
- Medical Oncology Department, Jiangsu Province Hospital, Nanjing, Jiangsu, 210029, People’s Republic of China
| | - Youyuan Yao
- Medical Oncology Department, Jiangsu Province Hospital, Nanjing, Jiangsu, 210029, People’s Republic of China
| | - Fei Quan
- The Medical Department, Jiangsu Simcere Diagnostics Co., Ltd, Nanjing, Jiangsu, 210021, People’s Republic of China
| | - Zhongyu Lu
- The Medical Department, Jiangsu Simcere Diagnostics Co., Ltd, Nanjing, Jiangsu, 210021, People’s Republic of China
| | - Jian Wang
- Medical Oncology Department, Jiangsu Province Hospital, Nanjing, Jiangsu, 210029, People’s Republic of China
| | - Wen Gao
- Medical Oncology Department, Jiangsu Province Hospital, Nanjing, Jiangsu, 210029, People’s Republic of China
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Park HY, Park JH, Shin MG, Han SJ, Ji YS, Oh HJ, Kim YC, Lee T, Choi YD, Oh IJ. Case Report: A case of ultra-late recurrence of KIF13A-RET fusion non-small cell lung cancer response to selpercatinib. Front Oncol 2023; 13:1178762. [PMID: 37182165 PMCID: PMC10166794 DOI: 10.3389/fonc.2023.1178762] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Accepted: 04/12/2023] [Indexed: 05/16/2023] Open
Abstract
Background Cancer recurrence remains a significant problem, and most postoperative recurrences of non-small cell lung cancer (NSCLC) develop within 5 years after resection. We present a rare case of ultra-late recurrence of NSCLC accompanying choroidal metastasis with KIF13A-RET fusion 14 years after the definitive surgery. Case description A 48-year-old female patient who had never-smoked presented with decreased visual acuity. She had been treated with right upper lobe lobectomy followed by adjuvant chemotherapy 14 years prior. Fundus photographs revealed bilateral choroidal metastatic lesions. Positron emission tomography-computed tomography (PET-CT) scans showed extensive bone metastases and focal hypermetabolism in the left uterine cervix. An excision biopsy of the uterus showed primary lung adenocarcinoma with immunohistochemistry of TTF-1+. Plasma next-generation sequencing (NGS) identified the presence of KIF13A-RET fusion. After 6 months of selpercatinib therapy, PET-CT revealed a partial response for bone and uterine metastasis and stable disease for choroidal lesions. Conclusion In this case report, we are reporting a rare case of ultra-late recurrence of NSCLC in a patient with choroidal metastasis. Furthermore, the diagnosis of NSCLC with RET fusion was based on liquid-based NGS rather than tissue-based biopsy. The patient showed a good response to selpercatinib, which supports the efficacy of selpercatinib as a treatment for RET-fusion-positive NSCLC with choroidal metastasis.
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Affiliation(s)
- Ha-Young Park
- Department of Internal Medicine, Chonnam National University Medical School and Hwasun Hospital, Hwasun, Republic of Korea
| | - Joo-Heon Park
- Departments of Laboratory Medicine, Chonnam National University Medical School and Hwasun Hospital, Hwasun, Republic of Korea
| | - Myung-Geun Shin
- Departments of Laboratory Medicine, Chonnam National University Medical School and Hwasun Hospital, Hwasun, Republic of Korea
| | - Seung Jung Han
- Dxome Co. Ltd., Seongnam-si, Gyeonggi-do, Republic of Korea
| | - Yong-Sok Ji
- Department of Ophthalmology, Chonnam National University Medical School and Hospital, Gwangju, Republic of Korea
| | - Hyung-Joo Oh
- Department of Internal Medicine, Chonnam National University Medical School and Hwasun Hospital, Hwasun, Republic of Korea
| | - Young-Chul Kim
- Department of Internal Medicine, Chonnam National University Medical School and Hwasun Hospital, Hwasun, Republic of Korea
| | - Taebum Lee
- Department of Pathology, Chonnam National University Medical School and Hospital, Gwangju, Republic of Korea
| | - Yoo-Duk Choi
- Department of Pathology, Chonnam National University Medical School and Hospital, Gwangju, Republic of Korea
| | - In-Jae Oh
- Department of Internal Medicine, Chonnam National University Medical School and Hwasun Hospital, Hwasun, Republic of Korea
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13
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Jiang F, Jiang S, Cao D, Mao M, Xiang Y. Immunologic Signatures across Molecular Subtypes and Potential Biomarkers for Sub-Stratification in Endometrial Cancer. Int J Mol Sci 2023; 24:1791. [PMID: 36675305 PMCID: PMC9861911 DOI: 10.3390/ijms24021791] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2022] [Revised: 12/30/2022] [Accepted: 12/30/2022] [Indexed: 01/18/2023] Open
Abstract
Current molecular classification approaches for endometrial cancer (EC) often employ multiple testing platforms. Some subtypes still lack univocal prognostic significance, highlighting the need for risk sub-stratification. The tumor immune microenvironment (TIME) is associated with tumor progression and prognosis. We sought to investigate the feasibility of classifying EC via DNA sequencing and interrogate immunologic signatures and prognostic markers across and within subtypes, respectively. Formalin-fixed paraffin-embedding (FFPE) samples from 50 EC patients underwent targeted DNA and RNA sequencing, and multiplex immunofluorescence assay for TIME. DNA sequencing classified 10%, 20%, 52%, and 18% of patients into the subtype of POLE-mutant, microsatellite instability-high (MSI-H), TP53-wt, and TP53-mutant. POLE-mutant tumors expressed the highest T-effector and IFN-γ signature and the lowest innate anti-PD-1 resistance signature among subtypes. TP53-wt revealed a converse enrichment trend for these immunologic signatures. Survival analyses using the Cancer Genome Atlas Uterine Corpus Endometrial Carcinoma (TCGA-UCEC) dataset identified associations of CCR5 (hazard ratio (HR) = 0.71, p = 0.035), TNFRSF14 (HR = 0.58, p = 0.028), and IL-10 (HR = 2.5, p = 0.012) with overall survival within MSI-H, TP53-mutant, and TP53-wt subtype, respectively. A TIME comparison between the sub-stratified subgroups of our cohort revealed upregulated tumor infiltration of immune cells in the low-risk subgroups. Our study demonstrates that targeted DNA sequencing is an effective one-stop strategy to classify EC. Immunomodulatory genes may serve as prognostic markers within subtypes.
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Affiliation(s)
| | | | | | | | - Yang Xiang
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, National Clinical Research Center for Obstetric & Gynecologic Diseases, Beijing 100730, China
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Ben X, Tian D, Zhuang W, Chen R, Wang S, Zhou Z, Deng C, Shi R, Liu S, Zhang D, Tang J, Xie L, Zhou H, Zhang Z, Li M, Zhang X, Qiao G. Accuracy of next-generation sequencing for molecular profiling of small specimen of lung cancer: a prospective pilot study of side-by-side comparison. Diagn Pathol 2022; 17:78. [PMID: 36224661 PMCID: PMC9554964 DOI: 10.1186/s13000-022-01255-y] [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: 11/02/2021] [Accepted: 09/20/2022] [Indexed: 11/22/2022] Open
Abstract
Background Successful practice of precision medicine in advanced lung cancers relies on therapeutic regimens tailored to individual molecular characteristics. The aim of this study was to investigate the accuracy of small specimens for molecular profiling using next-generation sequencing (NGS). Methods Genetic alternations, tumor mutational burden (TMB), status of microsatellite instability (MSI), and expression of programmed death ligand 1 (PD-L1) were compared side-by-side between the concurrently obtained core needle biopsy (CNB) and resection specimens in 17 patients with resectable non-small cell lung cancers. Results DNA yield and library complexity were significantly lower in CNB specimens (both p < 0.01), whereas the insert size, sequencing depth, and Q30 ratio were similar between the matched specimens (all p > 0.05). The total numbers of genetic alternations detected in resection and CNB specimens were 186 and 211, respectively, with 156 alternations in common, yielding a specific concordance rate of 83.9%. The prevalence of mutations in 8 major driver genes was 100% identical between surgical and CNB specimens, though the allele frequency was lower in CNB specimens, with a median underestimation of 57%. Results of TMB were similar (p = 0.547) and MSI status was 100% matched in all paired specimens. Conclusions Pulmonary CNB specimens were suitable for NGS given the satisfactory accuracy when compared to corresponding surgical specimens. NGS results yielding from CNB specimens should be deemed reliable to provide instructive information for the treatment of advanced lung cancers. Supplementary Information The online version contains supplementary material available at 10.1186/s13000-022-01255-y.
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Affiliation(s)
- Xiaosong Ben
- Department of Thoracic Surgery, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Second Road, Guangzhou, 510080, China
| | - Dan Tian
- Department of Thoracic Surgery, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Second Road, Guangzhou, 510080, China
| | - Weitao Zhuang
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, 510060, Guangzhou, China
| | - Rixin Chen
- Department of Thoracic Surgery, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Second Road, Guangzhou, 510080, China.,Research Center of Medical Sciences, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Sichao Wang
- Department of Thoracic Surgery, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Second Road, Guangzhou, 510080, China
| | - Zihao Zhou
- Department of Thoracic Surgery, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Second Road, Guangzhou, 510080, China
| | - Cheng Deng
- Department of Thoracic Surgery, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Second Road, Guangzhou, 510080, China
| | - Ruiqing Shi
- Department of Thoracic Surgery, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Second Road, Guangzhou, 510080, China
| | - Songlin Liu
- Department of Thoracic Surgery, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Second Road, Guangzhou, 510080, China
| | - Dongkun Zhang
- Department of Thoracic Surgery, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Second Road, Guangzhou, 510080, China
| | - Jiming Tang
- Department of Thoracic Surgery, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Second Road, Guangzhou, 510080, China
| | - Liang Xie
- Department of Thoracic Surgery, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Second Road, Guangzhou, 510080, China
| | - Haiyu Zhou
- Department of Thoracic Surgery, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Second Road, Guangzhou, 510080, China
| | - Zhou Zhang
- Department of Data Science, Burning Rock Biotech, Guangzhou, China
| | - Min Li
- Department of Medicine, Burning Rock Biotech, Guangzhou, China
| | - Xuanye Zhang
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, 510060, Guangzhou, China.
| | - Guibin Qiao
- Department of Thoracic Surgery, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Second Road, Guangzhou, 510080, China.
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15
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Zhao R, Guo L, Zhang B, Zhao J, Xiang C, Chen S, Shao J, Zhu L, Ye M, Han Y. Identification and therapeutic evaluation of ALK rearrangements in non-small-cell lung cancer. J Pathol Clin Res 2022; 8:538-549. [PMID: 35848751 PMCID: PMC9535099 DOI: 10.1002/cjp2.289] [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: 01/02/2022] [Revised: 06/17/2022] [Accepted: 06/23/2022] [Indexed: 12/29/2022]
Abstract
This study aimed to present a comprehensive assessment of anaplastic lymphoma kinase (ALK) rearrangements evaluated by DNA/RNA-based next-generation sequencing (NGS) and Ventana immunohistochemistry (IHC) in patients with non-small-cell lung cancer (NSCLC) and to evaluate the therapeutic outcomes of ALK tyrosine kinase inhibitor (TKI) treatment. We investigated ALK gene fusions in 14,894 patients with NSCLC using Ventana IHC and NGS, including 12,533 cases detected via DNA-based NGS and 2,361 cases using RNA-based NGS. The overall percentage agreement (OPA), positive percentage agreement (PPA), and negative percentage agreement (NPA) were calculated when comparing the results between NGS and IHC. The therapeutic responses to ALK-TKIs were also evaluated. In total, 3.50% (439/12,533) of specimens were NGS ALK-positive (NGS-p) in the DNA-based NGS cohort and 3.63% (455/12,533) were IHC ALK-positive (IHC-p). The OPA of NGS was 99.60%, whereas its PPA and NPA were 92.75 and 99.86%, respectively. In the adenocarcinoma (ADC) subcohort, the PPA was 95.69%. In the RNA-based NGS cohort, 2.20% (52/2,361) of specimens were NGS-p and 2.63% (62/2,361) were IHC-p. The OPA of NGS was 99.49%; its PPA and NPA were 82.26 and 99.96%, respectively. Thirteen patients with discordant results received ALK-TKI treatment. In the seven NGS-p/IHC-negative (IHC-n) patients, the overall response rate (ORR) was 85.4% (6/7) and the disease control rate (DCR) was 100%. In the six NGS-negative/IHC-p patients, the ORR was 66.7% (4/6) and the DCR was 100%. In summary, a high concordance of ALK gene fusion detected via NGS and IHC was observed in this study. DNA-based NGS had a higher OPA, PPA, and PPA in the ADC subcohort, whereas RNA-based NGS had a higher NPA. Overall, the results suggest that the combination of NGS and IHC can improve the accuracy of ALK fusion detection; hence, a result determination algorithm for clinical detection of ALK gene fusion was also proposed.
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Affiliation(s)
- Ruiying Zhao
- Department of Pathology, Shanghai Chest HospitalShanghai Jiao Tong UniversityShanghaiPR China
| | - Lianying Guo
- Department of Pathology, Shanghai Chest HospitalShanghai Jiao Tong UniversityShanghaiPR China
| | - Bo Zhang
- Department of Pulmonary, Shanghai Chest HospitalShanghai Jiao Tong UniversityShanghaiPR China
| | - Jikai Zhao
- Department of Pathology, Shanghai Chest HospitalShanghai Jiao Tong UniversityShanghaiPR China
| | - Chan Xiang
- Department of Pathology, Shanghai Chest HospitalShanghai Jiao Tong UniversityShanghaiPR China
| | - Shengnan Chen
- Department of Pathology, Shanghai Chest HospitalShanghai Jiao Tong UniversityShanghaiPR China
| | - Jinchen Shao
- Department of Pathology, Shanghai Chest HospitalShanghai Jiao Tong UniversityShanghaiPR China
| | - Lei Zhu
- Department of Pathology, Shanghai Chest HospitalShanghai Jiao Tong UniversityShanghaiPR China
| | - Min Ye
- Department of Pathology, Shanghai Chest HospitalShanghai Jiao Tong UniversityShanghaiPR China
| | - Yuchen Han
- Department of Pathology, Shanghai Chest HospitalShanghai Jiao Tong UniversityShanghaiPR China
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16
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Ding Y, Sun C, Su W, Miao C, He X, Wang JS, Zhang ZH. Detecting anaplastic lymphoma kinase (ALK) gene rearrangements with next-generation sequencing remains a reliable approach in patients with non-small-cell lung cancer. Virchows Arch 2022; 481:405-419. [PMID: 35624360 DOI: 10.1007/s00428-022-03339-y] [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: 01/05/2022] [Revised: 04/12/2022] [Accepted: 05/12/2022] [Indexed: 11/24/2022]
Abstract
Next-generation sequencing (NGS) is rapidly becoming routine in clinical oncology practice to identify therapeutic biomarkers, including gene rearrangements in anaplastic lymphoma kinase (ALK). Our study investigated the concordance of ALK positivity evaluated by DNA-based NGS with orthogonal ALK testing methods such as fluorescence in situ hybridization (FISH), immunohistochemistry (IHC), and RNA-based NGS (RNA-NGS). Thirty-eight patients with lung adenocarcinoma who were detected with ALK rearrangements using DNA-NGS and also had adequate tissue samples submitted for FISH, IHC, and RNA-NGS, were included in this study. Of the 38 patients, RNA samples from 3 patients failed quality control for RNA-NGS. The concordance of ALK positivity was calculated relative to DNA-NGS results. The concordance rates were 97.1% (34/35) for RNA-NGS, 94.7% (36/38) for IHC, and 97.4% (37/38) for FISH. DNA-NGS detected single ALK rearrangements in 14 (35.0%) patients and complex ALK rearrangements in 26 (65.0%). RNA-NGS detected only single transcripts of the primary ALK fusions. A novel LANCL1-ALK (L7:A20) detected using DNA-NGS was detected as EML4-ALK (E13:A20) transcripts using RNA-NGS. Interestingly, patients with single ALK rearrangements were more likely to be detected with atypical isolated red signals (p < 0.001), while patients with complex ALK rearrangements were more likely to be detected with atypical split red and green signals less than 2 signal diameters apart (p < 0.001). Our study highlights the reliability of NGS in the accurate detection of specific ALK fusion variants and concomitant mutations that are crucial for individualized treatment decisions in patients with lung cancer.
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Affiliation(s)
- Ying Ding
- Department of Pathology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Chang Sun
- The First School of Clinical Medicine, Nanjing Medical University, Nanjing, 210029, China
| | - Wei Su
- The First School of Clinical Medicine, Nanjing Medical University, Nanjing, 210029, China
| | - Chen Miao
- Department of Pathology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Xiao He
- Department of Pathology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Jin-Song Wang
- Department of Pathology, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210000, China
| | - Zhi-Hong Zhang
- Department of Pathology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
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