Cited by 6Lung Cancer Treatments and MutationsLung Cancer Research StudiesCancer Genomics and Diagnostics

Integrative proteomic characterization of human lung adenocarcinoma with KRAS G12 mutations reveals molecular pathogenesis

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Shi, Xinyu, Hu, Liling, Huang, Yongshi, Zhang, Mei-Fang, Ying, Xingfeng, Yuan, Xiaoyi, Wen, Nengqiao, Lu, Jiangli +6 more·2026·Journal of Advanced Research

Abstract

INTRODUCTION: Integrated proteogenomic studies of lung adenocarcinoma (LUAD) have provided unique insights with potential clinical effects. Comprehensive proteomic analyses are needed to better understand the molecular landscape of LUAD with KRAS G12 mutations. OBJECTIVES: This study aims to characterize the proteogenomic profile of LUAD with KRAS G12 mutation variants. METHODS: We performed next-generation sequencing (NGS) on 9,479 solid tumors, including 3,523 lung cancers. Proteomic profiling was conducted on 96 LUAD patients with KRAS G12 mutations or wild-type status using liquid chromatography-tandem mass spectrometry (LC-MS/MS). The LUAD tumor immune microenvironment (TIME) was characterized by multiplex immunohistochemistry (mIHC), and protein-protein interactions (PPIs) in KRAS G12-mutant lung cancer cells were mapped using biotin-based proximity labeling. RESULTS: Genomic analysis revealed heterogeneous KRAS-informed mutational profiles across pan-cancer and lung cancer, with allele-specific resolution for KRAS G12 mutations. Proteomic profiling of KRAS G12-mutant LUAD delineated distinct molecular features and tumor progression hallmarks. Unsupervised clustering identified three molecular subtypes, with the immune modulation subtype (S2) characterized by KRAS G12C enrichment, aggressive clinical features, and the greatest potential benefit from immunotherapy. The immune landscape of LUAD showed increased immune cell infiltration in KRAS G12C-mutant tumors. Additionally, proximal proteomics mapped a landscape of gain-of-interactions driven by KRAS G12 mutations, with ion transporter SLC4A7 emerged as a potential effector in immune modulation in the G12C variant. CONCLUSIONS: This comprehensive proteogenomic study provides insights into the molecular features of LUAD harboring KRAS G12 mutations, which may inform patient stratification and potential therapeutic approaches, pending further clinical validation.

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  • Significant interpatient differences exist in molecular characteristics, tumor progression dynamics, and treatment sensitivity in LUAD, posing major challenges to standardized treatment strategies.

    “Significant interpatient differences exist in molecular characteristics, tumor progression dynamics, and treatment sensitivity, posing major challenges to standardized treatment strategies (6, 7).”

    From Bioinformatics-based identification of glycolysis-related signatures associated with drug resistance and prognosis in lung adenocarcinoma (2026) · cites this paper as [7]

    The Results and Discussion describe molecular differences and different rates of progression among KRAS G12-mutant LUAD subtypes, and argue for tailored treatment strategies. The Results associate subtype signatures with immunotherapy response, but the Discussion says treatment responses were not directly assessed. Thus, the paper supports heterogeneity within the studied group, not the claim of established interpatient differences in treatment sensitivity across LUAD generally. (LLM, conf=0.86)

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Research works printed but not linked: 49

  1. [2]Han B. Zheng R. Zeng H. Wang S. Sun K. Chen R. Cancer incidence and mortality in China, 2022 Journal of the National Cancer Center 4 1 2024 47 53 39036382 PMC11256708
  2. [3]Molina J.R. Yang P. Cassivi S.D. Schild S.E. Adjei A.A. Non-small cell lung cancer: epidemiology, risk factors, treatment, and survivorship Mayo Clin Proc 83 5 2008 584 594 18452692 PMC2718421
  3. [4]Barta J.A. Powell C.A. Wisnivesky J.P. Global epidemiology of lung cancer Ann Glob Health 2019 PMC6724220 30741509
  4. [5]Araghi M. Mannani R. Heidarnejadmaleki A. Hamidi A. Rostami S. Safa S.H. Faramarzi F. Khorasani S. Alimohammadi M. Tahmasebi S. Recent advances in non-small cell lung cancer targeted therapy; an update review Cancer Cell Int 23 1 2023 162 37568193 PMC10416536
  5. [6]Xu J.-Y. Zhang C. Wang X. Zhai L. Ma Y. Mao Y. Integrative proteomic characterization of human lung adenocarcinoma Cell 182 1 2020 245 261.e217 32649877
  6. [7]Chen Y.-J. Roumeliotis T.I. Chang Y.-H. Chen C.-T. Han C.-L. Lin M.-H. Proteogenomics of non-smoking lung cancer in east Asia delineates molecular signatures of pathogenesis and progression Cell 182 1 2020 226 244.e217 32649875
  7. [8]Singhal A. Li B.T. O’Reilly E.M. Targeting KRAS in cancer Nat Med 30 4 2024 969 983 38637634 PMC11845254
  8. [9]Tan Z. Xue H. Sun Y. Zhang C. Song Y. Qi Y. The role of tumor inflammatory microenvironment in lung cancer Front Pharmacol 12 2021 PMC8166205 34079469
  9. [10]Li Y. Jiang M. Aye L. Luo L. Zhang Y. Xu F. UPP1 promotes lung adenocarcinoma progression through the induction of an immunosuppressive microenvironment Nat Commun 15 1 2024 1200 38331898 PMC10853547
  10. [11]Genova C. Dellepiane C. Carrega P. Sommariva S. Ferlazzo G. Pronzato P. Therapeutic implications of tumor microenvironment in lung cancer: focus on immune checkpoint blockade Front Immunol 12 2022 PMC8777268 35069581
  11. [13]Zdanov S. Mandapathil M. Abu Eid R. Adamson-Fadeyi S. Wilson W. Qian J. Mutant KRAS conversion of conventional t cells into regulatory t cells Cancer Immunol Res 4 4 2016 354 365 26880715 PMC4884020
  12. [14]Nakamura K. Kitani A. Fuss I. Pedersen A. Harada N. Nawata H. TGF-β1 plays an important role in the mechanism of CD4+CD25+ regulatory t cell activity in both humans and mice J Immunol 172 2 2004 834 842 14707053
  13. [16]Budczies J. Romanovsky E. Kirchner M. Neumann O. Blasi M. Schnorbach J. KRAS and TP53 co-mutation predicts benefit of immune checkpoint blockade in lung adenocarcinoma Br J Cancer 131 3 2024 524 533 38866964 PMC11300455
  14. [17]Zehir A. Benayed R. Shah R.H. Syed A. Middha S. Kim H.R. Mutational landscape of metastatic cancer revealed from prospective clinical sequencing of 10,000 patients Nat Med 23 6 2017 703 713 28481359 PMC5461196
  15. [18]Wu L. Yao H. Chen H. Wang A. Guo K. Gou W. Landscape of somatic alterations in large-scale solid tumors from an asian population Nat Commun 13 1 2022 4264 35871175 PMC9308789
  16. [19]Mina M. Raynaud F. Tavernari D. Battistello E. Sungalee S. Saghafinia S. Conditional selection of genomic alterations dictates cancer evolution and oncogenic dependencies Cancer Cell 32 2 2017 155 168.e156 28756993
  17. [20]Eichner LJ, Curtis SD, Brun SN, McGuire CK, Gushterova I, Baumgart JT, Trefts E, Ross DS, Rymoff TJ, Shaw RJ: HDAC3 is critical in tumor development and therapeutic resistance in Kras-mutant non–small cell lung cancer. Science Adv 9 (11):eadd3243. PMC10022903 36930718
  18. [21]Kazi A. Chen L. Xiang S. Vangipurapu R. Yang H. Beato F. Global phosphoproteomics reveal CDK suppression as a vulnerability to KRas addiction in pancreatic cancer Clin Cancer Res 27 14 2021 4012 4024 33879459 PMC8493485
  19. [22]Klomp JE, Diehl JN, Klomp JA, Edwards AC, Yang R, Morales AJ, Taylor KE, Drizyte-Miller K, Bryant KL, Schaefer A, et al. Determining the ERK-regulated phosphoproteome driving KRAS-mutant cancer. Science 384(6700):eadk0850. PMC11301400 38843329
  20. [23]Najumudeen A.K. Ceteci F. Fey S.K. Hamm G. Steven R.T. Hall H. The amino acid transporter SLC7A5 is required for efficient growth of KRAS-mutant colorectal cancer Nat Genet 53 1 2021 16 26 33414552
  21. [25]Miyata N. Azuma T. Hozawa S. Higuchi H. Yokoyama A.B.A. Kabashima A.M.S. Transforming growth factor β and Ras/MEK/ERK signaling regulate the expression level of a novel tumor suppressor lefty Pancreas 41 5 2012 22441145
  22. [26]Streeck H. Kwon D.S. Pyo A. Flanders M. Chevalier M.F. Law K. Epithelial adhesion molecules can inhibit HIV-1–specific CD8+ T-cell functions Blood 117 19 2011 5112 5122 21403126 PMC3109536
  23. [27]Salerno E.P. Bedognetti D. Mauldin I.S. Deacon D.H. Shea S.M. Pinczewski J. Human melanomas and ovarian cancers overexpressing mechanical barrier molecule genes lack immune signatures and have increased patient mortality risk OncoImmunology 5 12 2016 e1240857 PMC5215363 28123876
  24. [28]Yu T. Liu Z. Tao Q. Xu X. Li X. Li Y. Targeting tumor-intrinsic SLC16A3 to enhance anti-PD-1 efficacy via tumor immune microenvironment reprogramming Cancer Lett 589 2024 216824 38522774
  25. [29]Feng R. Liu F. Li R. Zhou Z. Lin Z. Lin S. The rapid proximity labeling system PhastID identifies ATP6AP1 as an unconventional GEF for Rheb Cell Res 34 5 2024 355 369 38448650 PMC11061317
  26. [30]Polacco B.J. Lobingier B.T. Blythe E.E. Abreu N. Khare P. Howard M.K. Profiling the proximal proteome of the activated μ-opioid receptor Nat Chem Biol 20 9 2024 1133 1143 38528119 PMC11365811
  27. [31]Kotlyar M. Pastrello C. Ahmed Z. Chee J. Varyova Z. Jurisica I. IID 2021: towards context-specific protein interaction analyses by increased coverage, enhanced annotation and enrichment analysis Nucleic Acids Res 50 D1 2022 D640 D647 34755877 PMC8728267
  28. [33]Yang Y. Bolomsky A. Oellerich T. Chen P. Ceribelli M. Häupl B. Oncogenic RAS commandeers amino acid sensing machinery to aberrantly activate mTORC1 in multiple myeloma Nat Commun 13 1 2022 5469 36115844 PMC9482638
  29. [34]Pizzagalli M.D. Bensimon A. Superti-Furga G. A guide to plasma membrane solute carrier proteins FEBS J 288 9 2021 2784 2835 32810346 PMC8246967
  30. [35]Ghandi M. Huang F.W. Jané-Valbuena J. Kryukov G.V. Lo C.C. McDonald E.R. Next-generation characterization of the cancer cell line encyclopedia Nature 569 7757 2019 503 508 31068700 PMC6697103
  31. [36]Yan H. He Q. Gao Y. He X. Luo H. Shao L. SLC4A7 suppresses lung adenocarcinoma oncogenesis by reducing lactate transport and protein lactylation Int J Oncol 66 5 2025 33 40084702 PMC12002671
  32. [37]Cho J.-W. Hong M.H. Ha S.-J. Kim Y.-J. Cho B.C. Lee I. Genome-wide identification of differentially methylated promoters and enhancers associated with response to anti-PD-1 therapy in non-small cell lung cancer Exp Mol Med 52 9 2020 1550 1563 32879421 PMC8080767
  33. [38]Ch'En F.F.T. Villafuerte F.C. Swietach P. Cobden P.M. Vaughan-Jones R.D. S0859, an N-cyanosulphonamide inhibitor of sodium-bicarbonate cotransport in the heart Br J Pharmacol 153 5 2008 972 982 18204485 PMC2267275
  34. [39]Lee J.K. Sivakumar S. Schrock A.B. Madison R. Fabrizio D. Gjoerup O. Montesion M et al: Comprehensive pan-cancer genomic landscape of KRAS altered cancers and real-world outcomes in solid tumors npj Precis Oncol 6(1):91 2022 PMC9734185 36494601
  35. [41]Bischoff P. Reck M. Overbeck T. Christopoulos P. Rittmeyer A. Lüders H. Outcome of first-line treatment with pembrolizumab according to KRAS/TP53 mutational status for nonsquamous programmed death-ligand 1–high (≥50%) NSCLC in the German national network genomic medicine lung cancer J Thorac Oncol 19 5 2024 803 817 38096950
  36. [42]Soula M. Unlu G. Welch R. Chudnovskiy A. Uygur B. Shah V. Glycosphingolipid synthesis mediates immune evasion in KRAS-driven cancer Nature 633 8029 2024 451 458 39112706 PMC11892728
  37. [43]Gu M. Xu T. Chang P. KRAS/LKB1 and KRAS/TP53 co-mutations create divergent immunesignatures in lung adenocarcinomas Ther Adv Med Oncol 13 2021 PMC8072935 33995590
  38. [44]Issahaku A.R. Mukelabai N. Agoni C. Rudrapal M. Aldosari S.M. Almalki S.G. Characterization of the binding of MRTX1133 as an avenue for the discovery of potential KRASG12D inhibitors for cancer therapy Sci Rep 12 1 2022 17796 36273239 PMC9588042
  39. [45]Zheng W, Jiang D, Chen S, Wu M, Yan B, Zhai J, Shi Y, Xie BIN, Xie X, Hu K, et al. Exploring the therapeutic potential of precision T-Cell Receptors (TCRs) in targeting KRAS G12D cancer through in vitro development. Oncol Res 2024; 32(12). PMC11576958 39574477
  40. [47]Ramirez C. Hauser A.D. Vucic E.A. Bar-Sagi D. Plasma membrane V-ATPase controls oncogenic RAS-induced macropinocytosis Nature 576 7787 2019 477 481 31827278 PMC7048194
  41. [48]Cheng S.-C. Quintin J. Cramer R.A. Shepardson K.M. Saeed S. Kumar V. mTOR- and HIF-1α–mediated aerobic glycolysis as metabolic basis for trained immunity Science 345 6204 2014 1250684 PMC4226238 25258083
  42. [49]Wang Z.-H. Peng W.-B. Zhang P. Yang X.-P. Zhou Q. Lactate in the tumour microenvironment: from immune modulation to therapy eBioMedicine 73 2021 PMC8524104 34656878
  43. [51]Angelin A. Gil-de-Gómez L. Dahiya S. Jiao J. Guo L. Levine M.H. Foxp3 reprograms T cell metabolism to function in low-glucose, high-lactate environments Cell Metabolism 25 6 2017 1282 1293.e1287 28416194 PMC5462872
  44. [52]Renner K. Bruss C. Schnell A. Koehl G. Becker H.M. Fante M. Restricting glycolysis preserves T cell effector functions and augments checkpoint therapy Cell Rep 29 1 2019 135 150.e139 31577944
  45. [53]Cappellesso F. Orban M.-P. Shirgaonkar N. Berardi E. Serneels J. Neveu M.-A. Targeting the bicarbonate transporter SLC4A4 overcomes immunosuppression and immunotherapy resistance in pancreatic cancer Nature Cancer 3 12 2022 1464 1483 36522548 PMC9767871
  46. [54]Mina M. Iyer A. Tavernari D. Raynaud F. Ciriello G. Discovering functional evolutionary dependencies in human cancers Nat Genet 52 11 2020 1198 1207 32989323
  47. [55]Cotto K.C. Wagner A.H. Feng Y.-Y. Kiwala S. Coffman A.C. Spies G. DGIdb 3.0: a redesign and expansion of the drug–gene interaction database Nucleic Acids Res 46 D1 2018 D1068 D1073 29156001 PMC5888642
  48. [56]Connor A.A. Denroche R.E. Jang G.H. Lemire M. Zhang A. Chan-Seng-Yue M. Integration of genomic and transcriptional features in pancreatic cancer reveals increased cell cycle progression in metastases Cancer Cell 35 2 2019 267 282.e267 30686769 PMC6398439
  49. [57]Lu X. Meng J. Zhou Y. Jiang L. Yan F. MOVICS: an R package for multi-omics integration and visualization in cancer subtyping Bioinformatics 36 22–23 2021 5539 5541 33315104

Cited by

Sorted by citations

Authors
Shi, X., Hu, L., Huang, Y., Zhang, M.-F., Ying, X., Yuan, X., Wen, N., Lu, J., Zou, H., Tan, X., He, Q.-Y., Wang, F., Yang, H., & Zhang, C. Z.
Affiliations
  • Jinan University (CN)
  • Sun Yat-sen University Cancer Center (CN)
  • Sun Yat-sen University (CN)
Corresponding author
  • Zhang, Mei-Fang
  • Wang, Fang
  • Yang, Hong
  • Zhang, Chris Zhiyi
Venue
Journal of Advanced Research
Publisher
Elsevier BV
Published
2026-06
Volume
84
Pages
675-693
ISSN
  • 2090-1224 (ISSN-L)
  • 2090-1232
OpenAlex
W4414189878
Cited by
6
References
8
Citations by year
2026: 4 · 2025: 2
FWCI
3.94
Type
journal article
Language
en
Open access
Locations
  • Journal of Advanced Research (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • PubMed Central (publishedVersion, cc-by-nc-nd)
Funders
  • Fundamental Research Funds for the Central Universities (21624109)
  • National Key Research and Development Program of China (2022YFA1304604)
  • National Natural Science Foundation of China (82273110, 82273032)
Topics
  • Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Lung Cancer Treatments and Mutations
  • Health Sciences › Medicine › Oncology › Lung Cancer Research Studies
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Genomics and Diagnostics
Keywords
lung adenocarcinoma, KRAS G12C, proteogenomics, tumor immune microenvironment, immune cell infiltration, protein-protein interaction, SLC4A7, molecular subtypes, immunotherapy response, patient stratification
MeSH terms
Adenocarcinoma of Lung, Female, Humans, Lung Neoplasms, Male, Mutation, Proto-Oncogene Proteins p21(ras), Proteomics, Tandem Mass Spectrometry, High-Throughput Nucleotide Sequencing, Tumor Microenvironment

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