| Literature DB >> 32077636 |
Yong Tang1, Yadan Li2, Lei Zhang2, Guihui Tong3, Zhu'an Ou1, Zhuocai Wang3, Henghui Zhang4, Guibin Qiao5.
Abstract
Anti-programmed cell death 1 (PD-1) and its ligand (PD-L1) has emerged as a novel immunotherapy for non-small cell lung cancer (NSCLC). However, the proportion of patients who may benefit from immunotherapy is limited and the factors sensitive or resistant to immunotherapy are not completely clear. Therefore, to identify reliable biomarkers as predictors of clinical response and resistance to anti-PD-1/PD-L1 therapies have become increasingly important. Here, we report a case of a patient with bone metastatic NSCLC, who achieved a pathologic complete response after preoperative pembrolizumab treatment. Postoperative pathological examination found no viable cancer cells in the resected pulmonary nodules and lymph nodes. Several high-frequency DNA damage response and repair (DDR) gene mutations including two germline mutations were identified in the primary lesion. Moreover, high PD-L1 expression, Kirsten rat sarcoma viral oncogene homolog (KRAS) combined with tumor protein 53 (TP53) mutations without epidermal growth factor receptor (EGFR)/anaplastic lymphoma kinase (ALK) driver alterations, high infiltration level of CD8-positive cells and M1 macrophages were observed, which were favorable characteristics for immunotherapy. We explored the possible factors related to an excellent response to immune checkpoint inhibitor in this patient and determined that preoperative use of anti-PD-1 therapy might apply to late-stage lung adenocarcinoma patients with multidimensional advantageous biomarkers for treatment with immune checkpoint inhibitors (ICIs). KEY POINTS: We characterized the genomic features and immune microenvironment signature of a lung adenocarcinoma in a patient with bone metastasis who achieved pathologic complete response after pembrolizumab treatment. To evaluate multidimensional advantageous biomarkers for immunotherapy.Entities:
Keywords: Late-stage NSCLC; pathologic complete response; preoperative immunotherapy
Mesh:
Substances:
Year: 2020 PMID: 32077636 PMCID: PMC7113060 DOI: 10.1111/1759-7714.13361
Source DB: PubMed Journal: Thorac Cancer ISSN: 1759-7706 Impact factor: 3.500
Figure 1Clinical outcome of the patient with metastatic lung adenocarcinoma who achieved a pathologic complete response to preoperative immunotherapy. (a) Following treatment with pembrolizumab for two cycles, a partial response (PR) was seen on positron emission tomography‐computed tomography (PET‐CT) scan with a reduction in the size of the tumor in his right upper lung lobe and also in bone metastasis. (b) Pathological results of the resected pulmonary specimens after treatment with pembrolizumab. Magnification, ×200. (c) PD‐L1 assay of the primary lesion on needle biopsy by immunohistochemical (IHC) staining with SP142. Magnification, ×200. (d) Illustrating the timeline of the treatment course of the patient. Pembro, pembrolizumab.
Genetic mutations of cancer‐related pathways in the patient's primary lesion
| Pathway | Gene | Mutations | Germline | Frequency (%) |
|---|---|---|---|---|
| DDR pathway |
| p.G112R | N | 19.48 |
|
| p.E2364V | N | 22.01 | |
|
| p.A171S | Y | 41.82 | |
|
| p.S1088F | Y | 55.41 | |
| RTK/RAS pathway |
| p.Q681E | Y | 39.7 |
|
| p.G12C | N | 35.17 | |
|
| p.D358V | Y | 37 | |
|
| p.D1776H | Y | 38.11 | |
|
| p.G596D | N | 9.47 | |
| Notch pathway |
| p.A633T | Y | 69.43 |
|
| p.P2126L | Y | 36.82 | |
| Hippo pathway |
| p.E204Kfs*5 | N | 25 |
|
| p.R26Q | Y | 40.2 | |
| PI3K pathway |
| p.L471S | N | 24.99 |
| p53 pathway |
| p.R267P | N | 23.12 |
Y, yes; N, no.
Figure 2Tumor immune microenvironment signature of the patient's pulmonary lesion on needle biopsy. (a) Images show five‐color mIHC (PD‐L1, CD8, CD68, CD163, DAPI) in the primary lesion. Nuclei were counterstained with DAPI. Magnification, ×200. (b) Quantitative mIHC results of PD‐L1, CD8, CD68, () Stroma region, () Tumor region. (c) The proportion of CD68+CD163− cells () and CD68+CD163+ cells () in CD68+ cells from six random vision fields.