The DOI matches its Crossref record; 73 of the 73 references it cites were found in a registry or an index.
Distinct initiating events underpin the immune and metabolic heterogeneity of KRAS-mutant lung adenocarcinoma
Open accessAbstract
The KRAS oncoprotein, a critical driver in 33% of lung adenocarcinoma (LUAD), has remained an elusive clinical target due to its perceived undruggable nature. The identification of dependencies borne through common co-occurring mutations are sought to more effectively target KRAS-mutant lung cancer. Approximately 20% of KRAS-mutant LUAD carry loss-of-function mutations in KEAP1, a negative regulator of the antioxidant response transcription factor NFE2L2/NRF2. We demonstrate that Keap1-deficient KrasG12D lung tumors arise from a bronchiolar cell-of-origin, lacking pro-tumorigenic macrophages observed in tumors originating from alveolar cells.Keap1 loss activates the pentose phosphate pathway, inhibition of which, using 6-AN, abrogated tumor growth. These studies highlight alternative therapeutic approaches to specifically target this unique subset of KRAS-mutant LUAD cancers.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Moreover, KRAS-driven lung adenocarcinomas with TP53 mutation induce immune cell production, while tumors with KEAP1 mutations rewire metabolism71.”
From The metabolic landscape of RAS-driven cancers from biology to therapy (2021) · cites this paper as [71]
In the citing paper
“This suggests that rather than considering a one-size-fits-all approach to therapy, individualized precision therapies based on co-occurring mutations could be more effective for patients with KRAS-driven cancers71.”
From The metabolic landscape of RAS-driven cancers from biology to therapy (2021) · cites this paper as [71]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482
Subramanian, A., Tamayo, P., Mootha, V. K., Mukherjee, S., Ebert, B. L., Gillette, M. A., Paulovich, A., Pomeroy, S. L., Golub, T. R., Lander, E. S., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0506580102 · Cited by 53,625
Robinson, M. D., McCarthy, D. J., & Smyth, G. K. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btp616 · Cited by 41,364
limma powers differential expression analyses for RNA-sequencing and microarray studies
Ritchie, M. E., Phipson, B., Wu, D., Hu, Y., Law, C. W., Shi, W., & Smyth, G. K. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv007 · Cited by 40,458
Self-citationCerami, E., Gao, J., Dogrusoz, U., Gross, B. E., Sumer, S. O., Aksoy, B. A., Jacobsen, A., Byrne, C. J., Heuer, M. L., Larsson, E., et al. (2012) · Cancer Discovery · doi:10.1158/2159-8290.cd-12-0095 · Cited by 17,455
Integrative Analysis of Complex Cancer Genomics and Clinical Profiles Using the cBioPortal
Gao, J., Aksoy, B. A., Dogrusoz, U., Dresdner, G., Gross, B., Sumer, S. O., Sun, Y., Jacobsen, A., Sinha, R., Larsson, E., et al. (2013) · Science Signaling · doi:10.1126/scisignal.2004088 · Cited by 15,160
Smyth, G. K. (2004) · Statistical Applications in Genetics and Molecular Biology · doi:10.2202/1544-6115.1027 · Cited by 11,829
A scaling normalization method for differential expression analysis of RNA-seq data
Robinson, M. D., & Oshlack, A. (2010) · Genome Biology · doi:10.1186/gb-2010-11-3-r25 · Cited by 7,876
voom: precision weights unlock linear model analysis tools for RNA-seq read counts
Law, C. W., Chen, Y., Shi, W., & Smyth, G. K. (2014) · Genome Biology · doi:10.1186/gb-2014-15-2-r29 · Cited by 6,155
Comprehensive molecular profiling of lung adenocarcinoma
The Cancer Genome Atlas Research Network (2014) · Nature · doi:10.1038/nature13385 · Cited by 5,732
Flagged first, then by citations
Cited by
Sorted by citations
The pentose phosphate pathway in health and disease
TeSlaa, T. A., Ralser, M., Fan, J., & Rabinowitz, J. D. (2023) · Nature Metabolism · doi:10.1038/s42255-023-00863-2 · Cited by 714
The metabolic landscape of RAS-driven cancers from biology to therapy
Mukhopadhyay, S., Vander Heiden, M. G., & McCormick, F. (2021) · Nature Cancer · doi:10.1038/s43018-021-00184-x · Cited by 315
Metabolic networks in mutant KRAS-driven tumours: tissue specificities and the microenvironment
Kerk, S. A., Papagiannakopoulos, T. Y., Shah, Y. M., & Lyssiotis, C. A. (2021) · Nature reviews. Cancer · doi:10.1038/s41568-021-00375-9 · Cited by 246
Targeting mTOR and Metabolism in Cancer: Lessons and Innovations
Magaway, C., Kim, E., & Jacinto, E. (2019) · Cells · doi:10.3390/cells8121584 · Cited by 231
NRF2: KEAPing Tumors Protected
Pillai, R., Hayashi, M., Zavitsanou, A.-M., & Papagiannakopoulos, T. Y. (2022) · Cancer Discovery · doi:10.1158/2159-8290.cd-21-0922 · Cited by 196
Metadata
- Authors
- Best, S. A., Ding, S., Kersbergen, A., Dong, X., Song, J.-Y., Xie, Y., Reljic, B., Li, K., Vince, J. E., Rathi, V., Wright, G. M., Ritchie, M. E., & Sutherland, K. D.
- Affiliations
- The University of Melbourne (AU)
- Walter and Eliza Hall Institute of Medical Research (AU)
- The Netherlands Cancer Institute (NL)
- Corresponding author
- Sutherland, Kate D.
- ORCID
- Venue
- Nature Communications
- Published
- 2019-09-13
- Volume
- 10
- Issue
- 1
- Pages
- 4190-4190
- ISSN
- 2041-1723 (ISSN-L)
- PMC
- PMC6744438
- OpenAlex
- W2972329402
- Cited by
- 108
- References
- 72
- Citations by year
- 2026: 8 · 2025: 14 · 2024: 14 · 2023: 17 · 2022: 17 · 2021: 22 · 2020: 14 · 2019: 1
- FWCI
- 10.46
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Nature Communications (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Minerva Access (University of Melbourne) (submittedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- Department of Health | National Health and Medical Research Council (1138275, 1159002, 1104924)
- Victorian Cancer Agency (18003)
- Peter and Julie Alston WEHI Centenary Fellowship
- Topics
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Lung Cancer Treatments and Mutations
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Kinase Regulation and GTPase Signaling
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics, phytochemicals, and oxidative stress
- Keywords
- KRAS-mutant lung adenocarcinoma, pentose phosphate pathway, tumor cell of origin, tumor-associated macrophages, tumor immune heterogeneity, tumor metabolic heterogeneity, KRAS G12D, co-occurring mutations, therapeutic target
- MeSH terms
- Kelch-Like ECH-Associated Protein 1, Adenocarcinoma of Lung, Animals, Carcinoma, Non-Small-Cell Lung, Female, Flow Cytometry, Immunohistochemistry, Lung Neoplasms, Male, Mice, Inbred C57BL, Blotting, Western, Proto-Oncogene Proteins p21(ras), Reactive Oxygen Species, Cell Line, Tumor, NF-E2-Related Factor 2, Mice
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review