Metallothionein expression in human breast cancer

Pereira, Helena; Reid, AS; Galea, M.H.; Bell, Joseph A.; Cw, Elston; Jasani, Bharat; Schmitt, Karen M.; Kay, Jonathan; Cryer, A; Blamey, R. W.; Ellis, I.O.

doi:10.1016/0960-9776(92)90223-o

Cited by 2 publications

(1 citation statement)

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“…Nonetheless, recent studies have shown a role for oxidative phosphorylation in several cancer types, suggesting that cancer cells may rely on both glycolysis and oxidative phosphorylation for energy production 53,54 . An additional gene module of metallothionein genes -which we refer to here as a metalresponse module -may have a role in proliferation and drug resistance in several cancer types [55][56][57][58] .…”

Section: Recurring Gene Modules Across Diverse Cancer Typesmentioning

confidence: 99%

Recurrence of cancer cell states across diverse tumors and their interactions with the microenvironment

Barkley¹,

Moncada²,

Pour³

et al. 2021

Preprint

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While genetic tumor heterogeneity has long been recognized, recent work has revealed significant variation among cancer cells at the epigenetic and transcriptional levels. Profiling tumors at the single-cell level in individual cancer types has shown that transcriptional heterogeneity is organized into cancer cell states, implying that diverse cell states may represent stable and functional units with complementary roles in tumor maintenance and progression. However, it remains unclear to what extent these states span tumor types, constituting general features of cancer. Furthermore, the role of cancer cell states in tumor progression and their specific interactions with cells of the tumor microenvironment remain to be elucidated. Here, we perform a pan-cancer single-cell RNA-Seq analysis across 15 cancer types and identify a catalog of 16 gene modules whose expression defines recurrent cancer cell states, including 'stress', 'interferon response', 'epithelial-mesenchymal transition', 'metal response', 'basal' and 'ciliated'. Using mouse models, we find that induction of the interferon response module varies by tumor location and is diminished upon elimination of lymphocytes. Moreover, spatial transcriptomic analysis further links the interferon response in cancer cells to T cells and macrophages in the tumor microenvironment. Our work provides a framework for studying how cancer cell states interact with the tumor microenvironment to form organized systems capable of immune evasion, drug resistance, and metastasis.

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