Cancer Res Treat.  2024 Apr;56(2):442-454. 10.4143/crt.2023.764.

Genomic Landscape of Pulmonary Sarcomatoid Carcinoma

Affiliations
  • 1Department of Pathology, Seoul National University College of Medicine, Seoul, Korea
  • 2Department of Pathology and Translational Medicine, Seoul National University Bundang Hospital, Seongnam, Korea
  • 3Artificial Intelligence Institute of Seoul National University, Seoul, Korea
  • 4Genomic Medicine Institute, Seoul National University Medical Research Center, Seoul, Korea

Abstract

Purpose
Pulmonary sarcomatoid carcinoma (PSC) is a rare aggressive subtype of non–small cell lung cancer (NSCLC) with limited therapeutic strategies. We attempted to elucidate the evolutionary trajectories of PSC using multiregional and longitudinal tumor samples.
Materials and Methods
A total of 31 patients were enrolled in this study and 11 longitudinal samples were available from them. Using whole exome sequencing data, we analyzed the mutational signatures in both carcinomatous and sarcomatous areas in primary tumors of the 31 patients and longitudinal samples obtained from 11 patients. Furthermore, digital droplet polymerase chain reaction (ddPCR), and programmed death-ligand 1 (PD-L1) immunohistochemistry using the Ventana SP263 assay were performed.
Results
TP53 was identified as the most frequently altered gene in the primary (74%) and metastatic (73%) samples. MET exon 14 skipping mutations, confirmed by ddPCR, and TP53 mutations were mutually exclusive; whereas, MET exon 14 skipping mutations frequently co-occurred with MDM2 amplification. Metastatic tumors showed dissimilar genetic profiles from either primary component. During metastasis, the signatures of APOBEC decreased in metastatic lesions compared with that in primary lesions. PSC showed higher MET and KEAP1 mutations and stronger PD-L1 protein expression compared with that recorded in other NSCLCs.
Conclusion
Decreased APOBEC signatures and subclonal diversity were detected during malignant progression in PSC. Frequent MET mutations and strong PD-L1 expression distinguished PSC from other NSCLCs. The aggressiveness and therapeutic difficulties of PSC were possibly attributable to profound intratumoral and intertumoral genetic diversity. Next-generation sequencing could suggest the appropriate treatment strategy for PSC.

Keyword

Pulmonary sarcomatoid carcinoma; MET; APOBEC; Programmed cell death-ligand 1; Exome sequencing

Figure

  • Fig. 1. Study design. LN, lymph node; PSC, pulmonary sarcomatoid carcinoma; QC, quality control; TCD, carcinomatous component of the primary tumor; TD, primary tumor; TID, primary tumor with inseparable components; TSD, sarcomatous component of the primary tumor.

  • Fig. 2. Mutational landscape of pulmonary sarcomatoid carcinoma. Whole exome sequencing results of primary tumors (A) and metastatic tumors (B). Lollipop plot of the most commonly mutated gene, TP53, in both primary and metastatic PSC (C). MET exon 14 skipping mutations, validated by digital droplet polymerase chain reaction, were present in five cases (D). Distant metastasis, metastasis to sites other than regional lymph nodes, detected clinically; MD, metastatic tumor; PD-L1, programmed death-ligand 1; PSC, pulmonary sarcomatoid carcinoma; TD, primary tumor including all histologic components; TMB, tumor mutation burden; TPS, tumor proportion score.

  • Fig. 3. Copy number variation analysis of micro-dissected carcinomatous and sarcomatous components in pulmonary sarcomatoid carcinoma. Copy number variation of primary carcinomatous (A) and primary sarcomatous (B) components. TCD, carcinomatous component of primary tumor; TSD, sarcomatous component of primary tumor.

  • Fig. 4. Mutational profiling and phylogenic analysis of the selected seven pulmonary sarcomatoid carcinoma cases. Comparison of frequently mutated genes in the micro-dissected three tissue samples of each case (A). Phylogenic trees of representative cases, including case SC13 with no driver mutations, case SC14 with EGFR and TP53 mutation, and case SC33 with KRAS and TP53 mutation (B). Overlapping mutations in the three types of tumor samples are indicated by black trunks, and mutations common only to primary samples are indicated by red trunks. Mutations specific to TCD, TSD, and MD samples are indicated by orange, blue, and black lines, respectively. Length is proportional to the number of variants. ADC, adenocarcinoma; ASC, adenosquamous carcinoma; EGFR, epidermal growth factor receptor; MD, metastatic tumor; n, number of mutations; PD-L1, programmed death-ligand 1; SqCC, squamous cell carcinoma; TCD, carcinomatous component of primary tumor; TPS, tumor proportion score; TSD, sarcomatous component of primary tumor.

  • Fig. 5. Mutational signature of the selected seven pulmonary sarcomatoid carcinoma cases. The APOBEC mutational signature (Signature 2) was characteristically absent or reduced in metastatic tumor samples. MD, metastatic tumor; TCD, carcinomatous component of primary tumor; TSD, sarcomatous component of primary tumor.

  • Fig. 6. Comparative analysis of frequent mutations in untreated primary lung cancer using whole exome sequencing. The Cancer Genome Atlas (TCGA) data from cbioportal.org and East Asian data from two large cohorts [18,19] were compared to pulmonary sarcomatoid carcinoma whole exome sequencing results obtained in this study. SNV/INDEL were considered. INDEL, insertion and deletion; LUAD, lung adenocarcinoma; LUSC, squamous cell carcinoma; PSC, pulmonary sarcomatoid carcinoma; SNV, single nucleotide variation; VAF, variable allelic frequency.


Reference

References

1. Travis WD, Brambilla E, Burk AP, Marx A, Nicholson AG. WHO classification of tumours of the lung, pleura, thymus and heart. 4th ed. Lyon: IARC Press;2015.
2. Lococo F, Torricelli F, Rossi G, Alifano M, Damotte D, Rapicetta C, et al. Inter-relationship between PD-L1 expression and clinic-pathological features and driver gene mutations in pulmonary sarcomatoid carcinomas. Lung Cancer. 2017; 113:93–101.
Article
3. Liang X, Cheng Y, Yuan Z, Yan Z, Li Q, Huang Y, et al. Clinical, pathological and treatment factors associated with the survival of patients with pulmonary sarcomatoid carcinoma. Oncol Lett. 2020; 19:4031–9.
Article
4. Vieira T, Girard N, Ung M, Monnet I, Cazes A, Bonnette P, et al. Efficacy of first-line chemotherapy in patients with advanced lung sarcomatoid carcinoma. J Thorac Oncol. 2013; 8:1574–7.
Article
5. Yang J, Antin P, Berx G, Blanpain C, Brabletz T, Bronner M, et al. Guidelines and definitions for research on epithelial-mesenchymal transition. Nat Rev Mol Cell Biol. 2020; 21:341–52.
Article
6. Lococo F, Gandolfi G, Rossi G, Pinto C, Rapicetta C, Cavazza A, et al. Deep sequencing analysis reveals that KRAS mutation is a marker of poor prognosis in patients with pulmonary sarcomatoid carcinoma. J Thorac Oncol. 2016; 11:1282–92.
Article
7. Terra SB, Jang JS, Bi L, Kipp BR, Jen J, Yi ES, et al. Molecular characterization of pulmonary sarcomatoid carcinoma: analysis of 33 cases. Mod Pathol. 2016; 29:824–31.
Article
8. Liu X, Jia Y, Stoopler MB, Shen Y, Cheng H, Chen J, et al. Nextgeneration sequencing of pulmonary sarcomatoid carcinoma reveals high frequency of actionable MET gene mutations. J Clin Oncol. 2016; 34:794–802.
Article
9. Yang Z, Xu J, Li L, Li R, Wang Y, Tian Y, et al. Integrated molecular characterization reveals potential therapeutic strategies for pulmonary sarcomatoid carcinoma. Nat Commun. 2020; 11:4878.
Article
10. Velcheti V, Rimm DL, Schalper KA. Sarcomatoid lung carcinomas show high levels of programmed death ligand-1 (PDL1). J Thorac Oncol. 2013; 8:803–5.
Article
11. Domblides C, Leroy K, Monnet I, Mazieres J, Barlesi F, Gounant V, et al. Efficacy of immune checkpoint inhibitors in lung sarcomatoid carcinoma. J Thorac Oncol. 2020; 15:860–6.
Article
12. Amin MB, Edge SB, Greene FL, Byrd DR, Brookland RK, Washington MK, et al. AJCC cancer staging manual. 8th ed. New York: Springer;2017.
13. Zhao M, Liu Y, Zheng C, Qu H. dbEMT 2.0: an updated database for epithelial-mesenchymal transition genes with experimentally verified information and precalculated regulation information for cancer metastasis. J Genet Genomics. 2019; 46:595–7.
Article
14. Zhao M, Kong L, Liu Y, Qu H. dbEMT: an epithelial-mesenchymal transition associated gene resource. Sci Rep. 2015; 5:11459.
Article
15. Favero F, Joshi T, Marquard AM, Birkbak NJ, Krzystanek M, Li Q, et al. Sequenza: allele-specific copy number and mutation profiles from tumor sequencing data. Ann Oncol. 2015; 26:64–70.
Article
16. Yu Y, Chen R, Zhao J, Yi X, Lu S. Analysis of canonical and noncanonical splicing site mutation of MET that causes exon 14 skipping. J Clin Oncol. 2020; 38(15 Suppl):e21513.
Article
17. Awad MM, Oxnard GR, Jackman DM, Savukoski DO, Hall D, Shivdasani P, et al. MET exon 14 mutations in non-smallcell lung cancer are associated with advanced age and stagedependent MET genomic amplification and c-Met overexpression. J Clin Oncol. 2016; 34:721–30.
18. Chen J, Yang H, Teo AS, Amer LB, Sherbaf FG, Tan CQ, et al. Genomic landscape of lung adenocarcinoma in East Asians. Nat Genet. 2020; 52:177–86.
Article
19. Li C, Gao Z, Li F, Li X, Sun Y, Wang M, et al. Whole exome sequencing identifies frequent somatic mutations in cell-cell adhesion genes in Chinese patients with lung squamous cell carcinoma. Sci Rep. 2015; 5:14237.
Article
20. Mehrad M, Roy S, LaFramboise WA, Petrosko P, Miller C, Incharoen P, et al. KRAS mutation is predictive of outcome in patients with pulmonary sarcomatoid carcinoma. Histopathology. 2018; 73:207–14.
Article
21. Nakagomi T, Goto T, Hirotsu Y, Shikata D, Yokoyama Y, Higuchi R, et al. New therapeutic targets for pulmonary sarcomatoid carcinomas based on their genomic and phylogenetic profiles. Oncotarget. 2018; 9:10635–49.
Article
22. Li X, Wu D, Liu H, Chen J. Pulmonary sarcomatoid carcinoma: progress, treatment and expectations. Ther Adv Med Oncol. 2020; 12:1758835920950207.
Article
23. Salgia R, Sattler M, Scheele J, Stroh C, Felip E. The promise of selective MET inhibitors in non-small cell lung cancer with MET exon 14 skipping. Cancer Treat Rev. 2020; 87:102022.
Article
24. Kim S, Koh J, Kim MY, Kwon D, Go H, Kim YA, et al. PD-L1 expression is associated with epithelial-to-mesenchymal transition in adenocarcinoma of the lung. Hum Pathol. 2016; 58:7–14.
Article
25. Dong P, Xiong Y, Yue J, Hanley SJ, Watari H. Tumor-intrinsic PD-L1 signaling in cancer initiation, development and treatment: beyond immune evasion. Front Oncol. 2018; 8:386.
Article
26. Goh JY, Feng M, Wang W, Oguz G, Yatim S, Lee PL, et al. Chromosome 1q21.3 amplification is a trackable biomarker and actionable target for breast cancer recurrence. Nat Med. 2017; 23:1319–30.
Article
27. Wang S, Jia M, He Z, Liu XS. APOBEC3B and APOBEC mutational signature as potential predictive markers for immunotherapy response in non-small cell lung cancer. Oncogene. 2018; 37:3924–36.
Article
28. Chen H, Chong W, Teng C, Yao Y, Wang X, Li X. The immune response-related mutational signatures and driver genes in non-small-cell lung cancer. Cancer Sci. 2019; 110:2348–56.
Article
29. Selenica P, Marra A, Choudhury NJ, Gazzo A, Falcon CJ, Patel J, et al. APOBEC mutagenesis, kataegis, chromothripsis in EGFR-mutant osimertinib-resistant lung adenocarcinomas. Ann Oncol. 2022; 33:1284–95.
Article
30. Venkatesan S, Rosenthal R, Kanu N, McGranahan N, Bartek J, Quezada SA, et al. Perspective: APOBEC mutagenesis in drug resistance and immune escape in HIV and cancer evolution. Ann Oncol. 2018; 29:563–72.
Article
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