GDPLichi: a DNA Damage Repair-Related Gene Classifier for Predicting Lung Adenocarcinoma Immune Checkpoint Inhibitors Response

Lung cancer is one of the most common and mortal malignancies, usually with a poor prognosis in its advanced or recurrent stages. Recently, immune checkpoint inhibitors (ICIs) immunotherapy has revolutionized the treatment of human cancers including lung adenocarcinoma (LUAD), and significantly improved patients’ prognoses. However, the prognostic and predictive outcomes differ because of tumor heterogeneity. Here, we present an effective method, GDPLichi (Genes of DNA damage repair to predict LUAD immune checkpoint inhibitors response), as the signature to predict the LUAD patient’s response to the ICIs. GDPLichi utilized only 7 maker genes from 8 DDR pathways to construct the predictive model and classified LUAD patients into two subgroups: low- and high-risk groups. The high-risk group was featured by worse prognosis and decreased B cells, CD8+ T cells, CD8+ central memory T cells, hematopoietic stem cells (HSC), myeloid dendritic cells (MDC), and immune scores as compared to the low-risk group. However, our research also suggests that the high-risk group was more sensitive to ICIs, which might be explained by increased TMB, neoantigen, immune checkpoint molecules, and immune suppression genes’ expression, but lower TIDE score as compared to the low-risk group. This conclusion was verified in three other LUAD cohort datasets (GSE30219, GSE31210, GSE50081).

Download Full-text

Immunogenomic Gene Signature of Cell-Death Associated Genes with Prognostic Implications in Lung Cancer

Cancers ◽

10.3390/cancers13010155 ◽

2021 ◽

Vol 13 (1) ◽

pp. 155

Author(s):

Pankaj Ahluwalia ◽

Meenakshi Ahluwalia ◽

Ashis K. Mondal ◽

Nikhil Sahajpal ◽

Vamsi Kota ◽

...

Keyword(s):

Lung Cancer ◽

T Cells ◽

Cell Death ◽

T Cell ◽

High Risk ◽

Lung Adenocarcinoma ◽

Risk Group ◽

High Risk Group ◽

Free Survival ◽

Cell Death Pathways

Lung cancer is one of the leading causes of death worldwide. Cell death pathways such as autophagy, apoptosis, and necrosis can provide useful clinical and immunological insights that can assist in the design of personalized therapeutics. In this study, variations in the expression of genes involved in cell death pathways and resulting infiltration of immune cells were explored in lung adenocarcinoma (The Cancer Genome Atlas: TCGA, lung adenocarcinoma (LUAD), 510 patients). Firstly, genes involved in autophagy (n = 34 genes), apoptosis (n = 66 genes), and necrosis (n = 32 genes) were analyzed to assess the prognostic significance in lung cancer. The significant genes were used to develop the cell death index (CDI) of 21 genes which clustered patients based on high risk (high CDI) and low risk (low CDI). The survival analysis using the Kaplan–Meier curve differentiated patients based on overall survival (40.4 months vs. 76.2 months), progression-free survival (26.2 months vs. 48.6 months), and disease-free survival (62.2 months vs. 158.2 months) (Log-rank test, p < 0.01). Cox proportional hazard model significantly associated patients in high CDI group with a higher risk of mortality (Hazard Ratio: H.R 1.75, 95% CI: 1.28–2.45, p < 0.001). Differential gene expression analysis using principal component analysis (PCA) identified genes with the highest fold change forming distinct clusters. To analyze the immune parameters in two risk groups, cytokines expression (n = 265 genes) analysis revealed the highest association of IL-15RA and IL 15 (> 1.5-fold, p < 0.01) with the high-risk group. The microenvironment cell-population (MCP)-counter algorithm identified the higher infiltration of CD8+ T cells, macrophages, and lower infiltration of neutrophils with the high-risk group. Interestingly, this group also showed a higher expression of immune checkpoint molecules CD-274 (PD-L1), CTLA-4, and T cell exhaustion genes (HAVCR2, TIGIT, LAG3, PDCD1, CXCL13, and LYN) (p < 0.01). Furthermore, functional enrichment analysis identified significant perturbations in immune pathways in the higher risk group. This study highlights the presence of an immunocompromised microenvironment indicated by the higher infiltration of cytotoxic T cells along with the presence of checkpoint molecules and T cell exhaustion genes. These patients at higher risk might be more suitable to benefit from PD-L1 blockade or other checkpoint blockade immunotherapies.

Download Full-text

Immune Checkpoint Myocarditis from Adjuvant Treatment of Melanoma

10.31487/j.gccr.2020.01.05 ◽

2020 ◽

pp. 1-2

Author(s):

Carrie Lenneman ◽

John Dasher ◽

Lavanya Kondapalli ◽

Carrie Lenneman

Keyword(s):

T Cells ◽

High Risk ◽

Adverse Events ◽

Adjuvant Treatment ◽

Immune Checkpoint ◽

Immune Checkpoint Inhibitors ◽

Checkpoint Inhibitors ◽

Effective Therapy ◽

Stage Iii

Immune checkpoint inhibitors (ICIs) are effective therapy for many metastatic cancers and are now being used as adjuvant treatment for many stage III cancers to reduce the high risk of reoccurrence. ICIs activate a patient’s own T-cells to fight cancer, but in some cases, immune-related adverse events (irAEs) with inflammation of many organs can occur. Rare cases of myocarditis have been reported. More data is needed to improve our ability to monitor, diagnose and treat irAEs.

Download Full-text

DNA Damage Repair Gene Mutations Are Indicative of a Favorable Prognosis in Colorectal Cancer Treated With Immune Checkpoint Inhibitors

Frontiers in Oncology ◽

10.3389/fonc.2020.549777 ◽

2021 ◽

Vol 10 ◽

Author(s):

Yipeng Song ◽

Jian Huang ◽

Dandan Liang ◽

Ying Hu ◽

Beibei Mao ◽

...

Keyword(s):

Colorectal Cancer ◽

Dna Damage ◽

Immune Checkpoint ◽

Immune Checkpoint Inhibitors ◽

Checkpoint Inhibitors ◽

Dna Damage Repair ◽

Genomic Data ◽

Cancer Center ◽

Damage Repair ◽

The Impact

BackgroundDNA damage repair (DDR) genes were recently implicated in the anti-tumor immune response. Therefore, it is worthwhile to unravel the implications of DDR pathways in the shaping of immune responsiveness in colorectal cancer (CRC) patients receiving immune checkpoint inhibitors (ICI).MethodsWe analyzed publicly available genomic data from a cohort treated with ICI from Memorial Sloan Kettering Cancer Center (MSK ICI cohort). To characterize the impact of the DDR mutation, the genomic data of The Cancer Genome Atlas (TCGA) colorectal adenocarcinoma (COADREAD) dataset was explored. We also analyzed the incidence of DDR mutation and microsatellite instability-high (MSI-H) in a Chinese CRC cohort using panel sequencing.ResultsThe DDR pathway was commonly mutated (21.8%) in the multicancer MSK ICI cohort, with the highest frequency of 36.4% in CRCs. Survival analysis showed that DDR mutation correlated with an improved overall survival (OS) in CRCs and pan-cancer in the MSK ICI cohort. However, no significant associations were identified in the TCGA COADREAD and MSK non-ICI CRCs. DDR mutation was associated with higher tumor mutational burden (TMB) levels and increased immune cell infiltration and immune checkpoint molecule expression in the TCGA COADREAD dataset. Last, we investigated the DDR mutational pattern and its associations with MSI-H and other genomic features in a Chinese CRC cohort. Notably, MSI-H and DDR mutation was present in 5.7% and 13.4% of cases, respectively, which suggests that DDR identifies a higher proportion of potential responders than MSI-H.ConclusionOur data suggest that DDR mutation as an indication of enhanced cancer immunity, and it may function as a biomarker for patients with CRCs receiving ICI treatment. The high incidence of DDR mutation in the Chinese CRC cohort emphasizes the future utility of panel-based DDR evaluation in guiding ICI treatment.

Download Full-text

Alterations of DNA damage repair genes in Chinese colorectal cancer patients.

Journal of Clinical Oncology ◽

10.1200/jco.2020.38.15_suppl.e16121 ◽

2020 ◽

Vol 38 (15_suppl) ◽

pp. e16121-e16121

Author(s):

Wenliang Li ◽

Zhu Zhu ◽

Ning Xu ◽

Wei Huang ◽

Junping Shi ◽

...

Keyword(s):

Colorectal Cancer ◽

Dna Damage ◽

Immune Checkpoint ◽

Immune Checkpoint Inhibitors ◽

Excision Repair ◽

Checkpoint Inhibitors ◽

Early Stage ◽

Dna Damage Repair ◽

Molecular Characteristics ◽

Damage Repair

e16121 Background: Colorectal cancer (CRC) is the second most common cancer in women and third in men. DNA damage repair (DDR) deficiency has emerged as a predictive biomarker for chemotherapy, PARP and immune checkpoint inhibitors. However, comprehensive molecular characteristics of DDR variants in Chinese CRC patients is lacking. Methods: Formalin fixed, paraffin embedded (FFPE) tumor tissues and matched blood samples were collected for targeted next-generation sequencing (NGS) assay. The testing was carried out in a College of American Pathologists (CAP) accredited and Clinical Laboratory Improvement Amendments (CLIA) certified laboratory. Alterations of six functional gene sets involved in DDR pathways: homologous recombination (HR), mismatch repair (MMR), base excision repair (BER), nonhomologous end-joining (NHEJ), checkpoint factors (CPF) and Fanconi anemia (FA) were analyzed. The association of DDR gene mutations with TMB/MSI was assessed. Results: In total, 319 CRC patients were recruited, 127 female and 192 male with a median age of 59 (range 23-92). Over one third (36%,115/319) patients had at least one mutation in DDR genes. Mutation rates varied in different DDR pathway: HR (20.7%), CPF (15.1%), FA (11.3%), MMR (10.3%), BER (8.8%), and NHEJ (5.3%). The most frequently mutated DDR genes were ARID1A (13.4%), ATM (10.2%), BRCA2 (6.8%), MLH1 (5.6%), MSH6 (5.6%), POLE (5.0%). Germline mutations in MLH1 (2.5%), BRCA2 (1.2%), MSH2 (0.9%), MSH6 (0.9%), FANCA (0.9%), ATM (0.6%), BRCA1 (0.3%), and CHEK2 (0.3%) were detected in 24 patients. DDR variations were enriched in the right-side CRC compared to the left side CRC (50% vs. 32.8%, p= 0.024). Early stage (I-II) harbored more DDR variations. 20.1% of patients had high TMB (≥10 muts/Mb) with a median of 51 muts/Mb (10-326.7 mus/Mb). Patients with DDR mutations had a significantly higher TMB than patients with wild type DDR (8.5 vs. 4.6 muts/Mb, p< 0.001). All CRC tumors with high MSI harbored DDR mutations. Importantly, the mutations in “HM” (HR/MMR), but not BER/CPF/NHEJ/FA mutations, were significantly correlated with high MSI ( p< 0.001). Conclusions: DDR gene alterations occurred in 36% of Chinese CRC patients and were enriched in right sided tumors. DDR pathway alterations are relatively frequent in CRC and consideration for biomarker-enriched clinical trials with PARP, immune checkpoint inhibitors, and novel combinations are warranted.

Download Full-text

Predicting cardiac adverse events in patients receiving immune checkpoint inhibitors: a machine learning approach

Journal for ImmunoTherapy of Cancer ◽

10.1136/jitc-2021-002545 ◽

2021 ◽

Vol 9 (10) ◽

pp. e002545

Author(s):

Samuel Peter Heilbroner ◽

Reed Few ◽

Judith Mueller ◽

Jitesh Chalwa ◽

Francois Charest ◽

...

Keyword(s):

Machine Learning ◽

Risk Factors ◽

High Risk ◽

Immune Checkpoint ◽

Immune Checkpoint Inhibitors ◽

Risk Group ◽

Checkpoint Inhibitors ◽

Low Risk ◽

Cardiac Events ◽

Programmed Death

BackgroundTreatment with immune checkpoint inhibitors (ICIs) has been associated with an increased rate of cardiac events. There are limited data on the risk factors that predict cardiac events in patients treated with ICIs. Therefore, we created a machine learning (ML) model to predict cardiac events in this at-risk population.MethodsWe leveraged the CancerLinQ database curated by the American Society of Clinical Oncology and applied an XGBoosted decision tree to predict cardiac events in patients taking programmed death receptor-1 (PD-1) or programmed death ligand-1 (PD-L1) therapy. All curated data from patients with non-small cell lung cancer, melanoma, and renal cell carcinoma, and who were prescribed PD-1/PD-L1 therapy between 2013 and 2019, were used for training, feature interpretation, and model performance evaluation. A total of 356 potential risk factors were included in the model, including elements of patient medical history, social history, vital signs, common laboratory tests, oncological history, medication history and PD-1/PD-L1-specific factors like PD-L1 tumor expression.ResultsOur study population consisted of 4960 patients treated with PD-1/PD-L1 therapy, of whom 418 had a cardiac event. The following were key predictors of cardiac events: increased age, corticosteroids, laboratory abnormalities and medications suggestive of a history of heart disease, the extremes of weight, a lower baseline or on-treatment percentage of lymphocytes, and a higher percentage of neutrophils. The final model predicted cardiac events with an area under the curve–receiver operating characteristic of 0.65 (95% CI 0.58 to 0.75). Using our model, we divided patients into low-risk and high-risk subgroups. At 100 days, the cumulative incidence of cardiac events was 3.3% in the low-risk group and 6.1% in the high-risk group (p<0.001).ConclusionsML can be used to predict cardiac events in patients taking PD-1/PD-L1 therapy. Cardiac risk was driven by immunological factors (eg, percentage of lymphocytes), oncological factors (eg, low weight), and a cardiac history.

Download Full-text

Identification of an Immune-Related LncRNA Signature in Gastric Cancer to Predict Survival and Response to Immune Checkpoint Inhibitors

Frontiers in Cell and Developmental Biology ◽

10.3389/fcell.2021.739583 ◽

2021 ◽

Vol 9 ◽

Author(s):

Zuoyou Ding ◽

Ran Li ◽

Jun Han ◽

Diya Sun ◽

Lei Shen ◽

...

Keyword(s):

Gastric Cancer ◽

Overall Survival ◽

Immune Checkpoint ◽

Immune Checkpoint Inhibitors ◽

Risk Group ◽

Checkpoint Inhibitors ◽

High Risk Group ◽

Low Risk ◽

Predictive Capability ◽

Invasive Capacity

Immune microenvironment in gastric cancer is closely associated with patient’s prognosis. Long non-coding RNAs (lncRNAs) are emerging as key regulators of immune responses. In this study, we aimed to construct a prognostic model based on immune-related lncRNAs (IRLs) to predict the overall survival and response to immune checkpoint inhibitors (ICIs) of gastric cancer (GC) patients. The IRL signature was constructed through a bioinformatics method, and its predictive capability was validated. A stratification analysis indicates that the IRL signature can distinguish different risk patients. A nomogram based on the IRL and other clinical variables efficiently predicted the overall survival of GC patients. The landscape of tumor microenvironment and mutation status partially explain this signature’s predictive capability. We found the level of cancer-associated fibroblasts, endothelial cells, M2 macrophages, and stroma cells was high in the high-risk group, while the number of CD8+ T cells and T follicular helper cells was high in the low-risk group. Immunophenoscore (IPS) is validated for ICI response, and the IRL signature low-risk group received higher IPS, representing a more immunogenic phenotype that was more inclined to respond to ICIs. In addition, we found RNF144A-AS1 was highly expressed in GC patients and promoted the proliferation, migration, and invasive capacity of GC cells. We concluded that the IRL signature represents a novel useful model for evaluating GC survival outcomes and could be implemented to optimize the selection of patients to receive ICI treatment.

Download Full-text

Ferroptosis-Related lncRNA Signature Predicts Prognosis and Immunotherapy Efficacy in Cutaneous Melanoma

10.21203/rs.3.rs-1261242/v1 ◽

2022 ◽

Author(s):

Yujian Xu ◽

Youbai Chen ◽

Zehao Niu ◽

Zheng Yang ◽

Jiahua Xing ◽

...

Keyword(s):

T Cells ◽

High Risk ◽

Risk Score ◽

Immune Checkpoint ◽

Cutaneous Melanoma ◽

Cox Regression ◽

Risk Group ◽

Risk Groups ◽

High Risk Group ◽

Low Risk

Abstract Ferroptosis-related lncRNAs are promising biomarkers for predicting the prognosis of many cancers. However, a ferroptosis-related signature to predict the prognosis of cutaneous melanoma (CM) has not been identified. The purpose of our study was to construct a ferroptosis-related lncRNA signature to predict prognosis and immunotherapy efficacy in CM. Ferroptosis-related differentially expressed genes (FDEGs) and lncRNAs (FDELs) were identified using TCGA, GTEx, and FerrDb datasets. We performed Cox and LASSO regressions to identify key FDELs, and constructed a risk score to stratify patients into high- and low-risk groups. A nomogram was developed for clinical use. We performed gene set enrichment analyses (GSEA) to identify significantly enriched pathways. Differences in the tumor microenvironment (TME) between the 2 groups were assessed using 7 algorithms. To predict the efficacy of immune checkpoint inhibitors (ICI), we analyzed the association between PD1 and CTLA4 expression and the risk score. Finally, differences in Tumor Mutational Burden (TMB) and molecular drugs Sensitivity between the 2 groups were performed. Here, we identified 5 lncRNAs (AATBC, AC145423.2, LINC01871, AC125807.2, and AC245041.1) to construct the risk score. The AUC of the lncRNA signature was 0.743 in the training cohort and was validated in the testing and entire cohorts. Kaplan-Meier analyses revealed that the high-risk group had poorer prognosis. Multivariate Cox regression showed that the lncRNA signature was an independent predictor of OS with higher accuracy than traditional clinicopathological features. The 1-, 3-, and 5-year survival probabilities for CM patients were 92.7%, 57.2%, and 40.2% with an AUC of 0.804, indicating a good accuracy and reliability of the nomogram. GSEA showed that the high-risk group had lower ferroptosis and immune response. TME analyses confirmed that the high-risk group had lower immune cell infiltration (e.g., CD8+ T cells, CD4+ memory-activated T cells, and M1 macrophages) and lower immune functions (e.g., immune checkpoint activation). Low-risk patients whose disease expressed PD1 or CTLA4 were likely to respond better to ICIs. The analysis demonstrated that the TMB had significantly difference between low- and high- risk groups. Chemotherapy drugs, such as sorafenib, Imatinib, ABT.888 (Veliparib), Docetaxel, and Paclitaxel showed Significant differences in the estimated IC50 between the two risk groups. Overall, our novel ferroptosis-related lncRNA signature was able to accurately predict the prognosis and ICI outcomes of CM patients. These ferroptosis-related lncRNAs might be potential biomarkers and therapeutic targets for CM.

Download Full-text

Immune checkpoint and checkpoint inhibitors in hepatocellular carcinoma

Thai Journal of Hepatology ◽

10.30856/th.jhep2018vol1iss1_07 ◽

2018 ◽

Vol 1 (1) ◽

pp. 28-32

Author(s):

Piyawat Komolmit

Keyword(s):

Hepatocellular Carcinoma ◽

T Cells ◽

Major Histocompatibility Complex ◽

T Cell Receptor ◽

Immune Checkpoint ◽

Immune Checkpoint Inhibitors ◽

Checkpoint Inhibitors ◽

Cell Receptor ◽

Immune Checkpoints ◽

Histocompatibility Complex

การรักษามะเร็งด้วยแนวความคิดของการกระตุ้นให้ภูมิต้านทานของร่างกายไปทำลายเซลล์มะเร็งนั้น ปัจจุบันได้รับการพิสูจน์ชัดว่าวิธีการนี้สามารถหยุดยั้งการแพร่กระจายของเซลล์มะเร็ง โดยไม่ก่อให้เกิดภาวะแทรกซ้อนทางปฏิกิริยาภูมิต้านทานต่ออวัยวะส่วนอื่นที่รุนแรง สามารถนำมาใช้ทางคลินิกได้ ยุคของการรักษามะเร็งกำลังเปลี่ยนจากยุคของยาเคมีบำบัดเข้าสู่การรักษาด้วยภูมิต้านทาน หรือ immunotherapy ยากลุ่ม Immune checkpoint inhibitors โดยเฉพาะ PD-1 กับ CTLA-4 inhibitors จะเข้ามามีบทบาทในการรักษามะเร็งตับในระยะเวลาอันใกล้ จำเป็นแพทย์จะต้องมีความรู้ความเข้าใจในพื้นฐานของ immune checkpoints และยาที่ไปยับยั้งโมเลกุลเหล่านี้ Figure 1 เมื่อ T cells รับรู้แอนทิเจนผ่านทาง TCR/MHC จะมีปฏิกิริยาระหว่าง co-receptors หรือ immune checkpoints กับ ligands บน APCs หรือ เซลล์มะเร็ง ทั้งแบบกระตุ้น (co-stimulation) หรือยับยั้ง (co-inhibition) TCR = T cell receptor, MHC = major histocompatibility complex

Download Full-text

Inhibition of the PI3K/mTOR Pathway in Breast Cancer to Enhance Response to Immune Checkpoint Inhibitors in Breast Cancer

International Journal of Molecular Sciences ◽

10.3390/ijms22105207 ◽

2021 ◽

Vol 22 (10) ◽

pp. 5207

Author(s):

Chi Yan ◽

Jinming Yang ◽

Nabil Saleh ◽

Sheau-Chiann Chen ◽

Gregory D. Ayers ◽

...

Keyword(s):

Breast Cancer ◽

T Cells ◽

Tumor Growth ◽

Cd8 T Cells ◽

Immune Checkpoint ◽

Immune Checkpoint Inhibitors ◽

Checkpoint Inhibitors ◽

Mtor Pathway ◽

Complete Regression ◽

Mtor Inhibition

Objectives: Inhibition of the PI3K/mTOR pathway suppresses breast cancer (BC) growth, enhances anti-tumor immune responses, and works synergistically with immune checkpoint inhibitors (ICI). The objective here was to identify a subclass of PI3K inhibitors that, when combined with paclitaxel, is effective in enhancing response to ICI. Methods: C57BL/6 mice were orthotopically implanted with syngeneic luminal/triple-negative-like PyMT cells exhibiting high endogenous PI3K activity. Tumor growth in response to treatment with anti-PD-1 + anti-CTLA-4 (ICI), paclitaxel (PTX), and either the PI3Kα-specific inhibitor alpelisib, the pan-PI3K inhibitor copanlisib, or the broad spectrum PI3K/mTOR inhibitor gedatolisib was evaluated in reference to monotherapy or combinations of these therapies. Effects of these therapeutics on intratumoral immune populations were determined by multicolor FACS. Results: Treatment with alpelisib + PTX inhibited PyMT tumor growth and increased tumor-infiltrating granulocytes but did not significantly affect the number of tumor-infiltrating CD8+ T cells and did not synergize with ICI. Copanlisib + PTX + ICI significantly inhibited PyMT growth and increased activation of intratumoral CD8+ T cells as compared to ICI alone, yet did not inhibit tumor growth more than ICI alone. In contrast, gedatolisib + ICI resulted in significantly greater inhibition of tumor growth compared to ICI alone and induced durable dendritic-cell, CD8+ T-cell, and NK-cell responses. Adding PTX to this regimen yielded complete regression in 60% of tumors. Conclusion: PI3K/mTOR inhibition plus PTX heightens response to ICI and may provide a viable therapeutic approach for treatment of metastatic BC.

Download Full-text

Diffuse Cystic Metastases in the Lung after Nivolumab Treatment in a Patient with Non-Small Cell Lung Cancer: A Case Report

Case Reports in Oncology ◽

10.1159/000513426 ◽

2021 ◽

pp. 34-38

Author(s):

Satoshi Muto ◽

Yuki Ozaki ◽

Takuya Inoue ◽

Naoyuki Okabe ◽

Yuki Matsumura ◽

...

Keyword(s):

Lung Adenocarcinoma ◽

Immune Checkpoint ◽

Immune Checkpoint Inhibitors ◽

Checkpoint Inhibitors ◽

Lung Metastases ◽

Sialyl Lewis X ◽

Ground Glass ◽

Cystic Lesions ◽

Positron Emission ◽

Ground Glass Nodules

Although diffuse cysts in the lung can be found in many diseases, they are uncommon in metastatic lung adenocarcinoma. They are even more unusual after the administration of immune checkpoint inhibitors. A case of lung adenocarcinoma that developed diffuse cysts in the lungs during treatment with nivolumab is reported. The patient was a 60-year-old woman with postoperative recurrent lung adenocarcinoma in mediastinal lymph nodes and pleural dissemination. After first-line treatment with cisplatin, pemetrexed, and bevacizumab, computed tomography (CT) showed disease progression. Treatment was then switched to nivolumab. After 5 courses of nivolumab, CT showed multiple ground-glass nodules in her lungs. After 4 more courses of nivolumab, the ground-glass nodules increased in size, and cystic air spaces appeared in their centers. The patient did not have any symptoms. Laboratory tests showed no evidence of infection or nivolumab-induced pneumonitis. Sialyl Lewis X-i antigen increased, and positron emission tomography showed abnormal uptake of 18F-fluorodeoxyglucose in these lesions. Considering this evidence, the cystic lesions were diagnosed as multiple lung metastases. Various differential diagnoses should be considered when diffuse cystic lesions are found in the lungs after the administration of immune checkpoint inhibitors.

Download Full-text