Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2022 Jun;41(25):3423-3432.
doi: 10.1038/s41388-022-02348-0. Epub 2022 May 16.

TP53, CDKN2A/P16, and NFE2L2/NRF2 regulate the incidence of pure- and combined-small cell lung cancer in mice

Affiliations

TP53, CDKN2A/P16, and NFE2L2/NRF2 regulate the incidence of pure- and combined-small cell lung cancer in mice

Samera H Hamad et al. Oncogene. 2022 Jun.

Erratum in

Abstract

Studies have shown that Nrf2E79Q/+ is one of the most common mutations found in human tumors. To elucidate how this genetic change contributes to lung cancer, we compared lung tumor development in a genetically-engineered mouse model (GEMM) with dual Trp53/p16 loss, the most common mutations found in human lung tumors, in the presence or absence of Nrf2E79Q/+. Trp53/p16-deficient mice developed combined-small cell lung cancer (C-SCLC), a mixture of pure-SCLC (P-SCLC) and large cell neuroendocrine carcinoma. Mice possessing the LSL-Nrf2E79Q mutation showed no difference in the incidence or latency of C-SCLC compared with Nrf2+/+ mice. However, these tumors did not express NRF2 despite Cre-induced recombination of the LSL-Nrf2E79Q allele. Trp53/p16-deficient mice also developed P-SCLC, where activation of the NRF2E79Q mutation associated with a higher incidence of this tumor type. All C-SCLCs and P-SCLCs were positive for NE-markers, NKX1-2 (a lung cancer marker) and negative for P63 (a squamous cell marker), while only P-SCLC expressed NRF2 by immunohistochemistry. Analysis of a consensus NRF2 pathway signature in human NE+-lung tumors showed variable activation of NRF2 signaling. Our study characterizes the first GEMM that develops C-SCLC, a poorly-studied human cancer and implicates a role for NRF2 activation in SCLC development.

PubMed Disclaimer

Conflict of interest statement

Conflict of interest

No conflict of interest to report

Figures

Fig. 1
Fig. 1. Invasive tumors developed by Trp53fl/fl;p16fl/fl;Nrf2+/+ and Trp53fl/fl;p16fl/fl;Nrf2E79Q/+ mice.
a An example of combined small cell lung cancer (C-SCLC) from a Trp53fl/fl;p16fl/fl;Nrf2E79Q/+ mouse, showing C-SCLC, scalebar=100μm with insets of 1) P-SCLC, scalebar=50μm, and 2) Large Cell Neuroendocrine Carcinoma (LCNEC), scalebar=50μm; b H&E and representative IHC for NKX2–1, P63 and NRF2 of a lung tumor metastasis in liver, scalebar=200μm. Images in a&b were taken using a BX61-Neville microscope; c Representative IF for ASCL1, CHG-A, SYP and PHH3 of a lung tumor metastasis in liver. Slides were imaged on the Vectra® Polaris Automated Quantitative Pathology Imaging System, scalebar=50μm.
Fig. 2
Fig. 2. Characterization of P-SCLC developed by Trp53fl/fl;p16fl/fl;Nrf2E79Q/+ mice.
a H&E of multiple P-SCLCs in Trp53fl/fl;p16fl/fl;Nrf2E79Q/+ mice, scalebar=200μm with insets showing P-SCLC lesions, scalebar=50μm. Images were taken using a BX61-Neville microscope; b Percentage of mice with P-SCLC in Trp53fl/fl;p16fl/fl;Nrf2+/+ and Trp53fl/fl;p16fl/fl;Nrf2E79Q/+ mice; c Total number of P-SCLC observed in each lung from Trp53fl/fl;p16fl/fl;Nrf2+/+ and Trp53fl/fl;p16fl/fl;Nrf2E79Q/+ mice (n = 9 per genotype) (See Supplementary Table 2 for more details). **P<0.01
Fig. 3
Fig. 3. Characterization and NRF2 genotyping of C-SCLC.
IHC for markers of lung differentiation and for tumor suppressor and NRF2 expression in C-SCLCs from Trp53fl/fl;p16fl/fl;Nrf2+/+ (a) and Trp53fl/fl;p16fl/fl;Nrf2E79Q/+mice (b), scalebar=200μm; IF staining for NE markers of the same tumors (c & d), scalebar=100μm; e Genotyping results of C-SCLC from (WT) Trp53fl/fl;p16fl/fl;Nrf2+/+ and (Het) Trp53fl/fl;p16fl/fl;Nrf2E79Q/+ mice, showing the presence of the recombined allele in tumors from Trp53fl/fl;p16fl/fl;Nrf2E79Q/+ mice; f Table summarizing the results of genotyping C-SCLCs from Trp53fl/fl;p16fl/fl;Nrf2+/+ and Trp53fl/fl;p16fl/fl;Nrf2E79Q/+ mice; a & b Images were taken using a BX61-Neville microscope; c & d Slides were imaged on the Vectra® Polaris Automated Quantitative Pathology Imaging System.
Fig. 4
Fig. 4. Characterization of P-SCLC developed by Trp53fl/fl;p16fl/fl;Nrf2+/+ and Trp53fl/fl;p16fl/fl;Nrf2E79Q/+ mice.
a IHC for markers of lung differentiation and for tumor suppressor and NRF2 expression in P-SCLCs from Trp53fl/fl;p16fl/fl;Nrf2+/+ and Trp53fl/fl;p16fl/fl;Nrf2E79Q/+mice,. Images were taken using a BX61-Neville microscope, scalebar=200μm; b IF staining for NE markers of the same tumors. Slides were imaged on the Vectra® Polaris Automated Quantitative Pathology Imaging System, scalebar=100μm.
Fig. 5
Fig. 5. Heatmap of NRF2 target gene expression in human neuroendocrine lung tumors.
Gene expression, histopathology, and tumor mutation data were mined from a previous meta-analysis of lung tumors. Gene expression data for NRF2 target genes were VST-normalized and median-centered, and hierarchically clustered separately within each tumor super-class. Sex, histopathological classifications, molecular clusters, and mutations in KEAP1/NRF2 are designated in colors at the top based on previous annotations. Higher expression values are designated in red, and lower expression values are designated in blue. Tumors carrying KEAP1/NRF2 tumors are designated in black.
Fig 6
Fig 6. Schematic representation of P-SCLC and C-SCLC development in Trp53fl/fl;p16fl/fl;Nrf2+/+ and Trp53fl/fl;p16fl/fl;Nrf2E79Q/+ GEMM.
The frequency of NRF2-negative P-SCLC lesions in Trp53fl/fl;p16fl/fl;Nrf2+/+ mice was ~ten-fold lower than the frequency of NRF2-positive P-SCLC observed in Trp53fl/fl;p16fl/fl;Nrf2E79Q/+ mice. Both genotypes developed NRF2-negative C-SCLC at similar frequencies. Whether the P-SCLC and C-SCLC develop independently of each other or sequentially remains an open question.

Similar articles

Cited by

References

    1. Siegel RL, Miller KD, Jemal A. Cancer statistics, 2020. CA Cancer J Clin 2020; 70: 7–30. - PubMed
    1. Society AC. Cancer Facts and Figures 2019. American Cancer Society Inc., 2019.
    1. Siegel RL, Miller KD, Jemal A. Cancer statistics, 2019. CA Cancer J Clin 2019; 69: 7–34. - PubMed
    1. Paez JG, Janne PA, Lee JC, Tracy S, Greulich H, Gabriel S et al. EGFR mutations in lung cancer: correlation with clinical response to gefitinib therapy. Science 2004; 304: 1497–1500. - PubMed
    1. Kodama T, Tsukaguchi T, Satoh Y, Yoshida M, Watanabe Y, Kondoh O et al. Alectinib shows potent antitumor activity against RET-rearranged non-small cell lung cancer. Mol Cancer Ther 2014; 13: 2910–2918. - PubMed

Publication types

MeSH terms