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Connection

Shailja Pathania to Ovarian Neoplasms

This is a "connection" page, showing publications Shailja Pathania has written about Ovarian Neoplasms.
Connection Strength

1.285
  1. Galhenage P, Zhou Y, Perry E, Loc B, Fietz K, Iyer S, Reinhardt F, Da Silva T, Botchkarev V, Chen J, Crum CP, Weinberg RA, Pathania S. Replication stress and defective checkpoints make fallopian tube epithelial cells putative drivers of high-grade serous ovarian cancer. Cell Rep. 2023 10 31; 42(10):113144.
    View in: PubMed
    Score: 0.719
  2. Balkwill FR, Laumont CM, Burdett N, Le Saux O, Garsed DW, Grither WR, Nijhuis AM, Recouvreux MS, Kang Z, Zhang R, Chiappinelli KB, Lee JS, Laniti DD, McNeish I, Ahmed AA, Rottapel R, Conejo-Garcia JR, Odunsi K, Pharoah PDP, Zamarin D, Ishak CA, Fotopoulou C, Buckanovich RJ, Labidi-Galy I, Brenton JD, Lengyel E, Cook DP, George SHL, Lheureux S, Drapkin R, Nephew KP, Adams S, Pathania S, Nelson BH, F?rkkil? A, Fuh K, Neel BG, Bowtell DD. Rethinking ovarian cancer III: the past decade and future directions. Nat Rev Cancer. 2026 Jun; 26(6):452-471.
    View in: PubMed
    Score: 0.215
  3. Sipes J, Zha D, Rayamajhi S, Bantis LE, Madan R, Mitra A, Puri RV, Rahman MM, Ahmmed F, Pathak HB, Russo A, Sardiu M, Isenberg BC, Cain BP, Coppeta J, Galhenage PM, Pathania S, David SM, Burdette JE, Godwin AK. Defining the Ovarian Cancer Precancerous Landscape through Modeling Fallopian Tube Epithelium Reprogramming Driven by Extracellular Vesicles. Cancer Res Commun. 2025 Aug 01; 5(8):1266-1281.
    View in: PubMed
    Score: 0.204
  4. Iyer S, Zhang S, Yucel S, Horn H, Smith SG, Reinhardt F, Hoefsmit E, Assatova B, Casado J, Meinsohn MC, Barrasa MI, Bell GW, P?rez-Villatoro F, Huhtinen K, Hynninen J, Oikkonen J, Galhenage PM, Pathania S, Hammond PT, Neel BG, Farkkila A, P?pin D, Weinberg RA. Genetically Defined Syngeneic Mouse Models of Ovarian Cancer as Tools for the Discovery of Combination Immunotherapy. Cancer Discov. 2021 02; 11(2):384-407.
    View in: PubMed
    Score: 0.147
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.