Connection

Co-Authors

This is a "connection" page, showing publications co-authored by JEFFREY E GERSHENWALD and SCOTT ERIC WOODMAN.
Connection Strength

1.321
  1. Integrative Analysis Identifies Four Molecular and Clinical Subsets in Uveal Melanoma. Cancer Cell. 2018 01 08; 33(1):151.
    View in: PubMed
    Score: 0.154
  2. Integrated Molecular and Clinical Analysis of AKT Activation in Metastatic Melanoma. Clin Cancer Res. 2009 Dec 15; 15(24):7538-7546.
    View in: PubMed
    Score: 0.088
  3. Obesity Is Associated with Altered Tumor Metabolism in Metastatic Melanoma. Clin Cancer Res. 2023 01 04; 29(1):154-164.
    View in: PubMed
    Score: 0.055
  4. Author Correction: Androgen receptor blockade promotes response to BRAF/MEK-targeted therapy. Nature. 2023 Jan; 613(7945):E3.
    View in: PubMed
    Score: 0.055
  5. Multi-modal molecular programs regulate melanoma cell state. Nat Commun. 2022 07 09; 13(1):4000.
    View in: PubMed
    Score: 0.053
  6. Androgen receptor blockade promotes response to BRAF/MEK-targeted therapy. Nature. 2022 06; 606(7915):797-803.
    View in: PubMed
    Score: 0.052
  7. Dietary fiber and probiotics influence the gut microbiome and melanoma immunotherapy response. Science. 2021 Dec 24; 374(6575):1632-1640.
    View in: PubMed
    Score: 0.051
  8. Short-term treatment with multi-drug regimens combining BRAF/MEK-targeted therapy and immunotherapy results in durable responses in Braf-mutated melanoma. Oncoimmunology. 2021; 10(1):1992880.
    View in: PubMed
    Score: 0.050
  9. Identification of MicroRNA-mRNA Networks in Melanoma and Their Association with PD-1 Checkpoint Blockade Outcomes. Cancers (Basel). 2021 Oct 22; 13(21).
    View in: PubMed
    Score: 0.050
  10. Gut microbiota signatures are associated with toxicity to combined CTLA-4 and PD-1 blockade. Nat Med. 2021 08; 27(8):1432-1441.
    View in: PubMed
    Score: 0.049
  11. B cells and tertiary lymphoid structures promote immunotherapy response. Nature. 2020 01; 577(7791):549-555.
    View in: PubMed
    Score: 0.044
  12. Author Correction: Neoadjuvant immune checkpoint blockade in high-risk resectable melanoma. Nat Med. 2018 Dec; 24(12):1941.
    View in: PubMed
    Score: 0.041
  13. Publisher Correction: Neoadjuvant immune checkpoint blockade in high-risk resectable melanoma. Nat Med. 2018 Dec; 24(12):1942.
    View in: PubMed
    Score: 0.041
  14. Neoadjuvant immune checkpoint blockade in high-risk resectable melanoma. Nat Med. 2018 11; 24(11):1649-1654.
    View in: PubMed
    Score: 0.041
  15. Prospective Analysis of Adoptive TIL Therapy in Patients with Metastatic Melanoma: Response, Impact of Anti-CTLA4, and Biomarkers to Predict Clinical Outcome. Clin Cancer Res. 2018 09 15; 24(18):4416-4428.
    View in: PubMed
    Score: 0.040
  16. Neoadjuvant plus adjuvant dabrafenib and trametinib versus standard of care in patients with high-risk, surgically resectable melanoma: a single-centre, open-label, randomised, phase 2 trial. Lancet Oncol. 2018 02; 19(2):181-193.
    View in: PubMed
    Score: 0.039
  17. Gut microbiome modulates response to anti-PD-1 immunotherapy in melanoma patients. Science. 2018 01 05; 359(6371):97-103.
    View in: PubMed
    Score: 0.038
  18. Integrative Analysis Identifies Four Molecular and Clinical Subsets in Uveal Melanoma. Cancer Cell. 2017 08 14; 32(2):204-220.e15.
    View in: PubMed
    Score: 0.038
  19. Genomic and immune heterogeneity are associated with differential responses to therapy in melanoma. NPJ Genom Med. 2017; 2.
    View in: PubMed
    Score: 0.037
  20. Integrated molecular analysis of tumor biopsies on sequential CTLA-4 and PD-1 blockade reveals markers of response and resistance. Sci Transl Med. 2017 03 01; 9(379).
    View in: PubMed
    Score: 0.036
  21. Clinicopathological features and clinical outcomes associated with TP53 and BRAFNon-V600 mutations in cutaneous melanoma patients. Cancer. 2017 04 15; 123(8):1372-1381.
    View in: PubMed
    Score: 0.036
  22. Novel algorithmic approach predicts tumor mutation load and correlates with immunotherapy clinical outcomes using a defined gene mutation set. BMC Med. 2016 10 25; 14(1):168.
    View in: PubMed
    Score: 0.036
  23. Analysis of Immune Signatures in Longitudinal Tumor Samples Yields Insight into Biomarkers of Response and Mechanisms of Resistance to Immune Checkpoint Blockade. Cancer Discov. 2016 08; 6(8):827-37.
    View in: PubMed
    Score: 0.035
  24. Distinct clinical patterns and immune infiltrates are observed at time of progression on targeted therapy versus immune checkpoint blockade for melanoma. Oncoimmunology. 2016 Mar; 5(3):e1136044.
    View in: PubMed
    Score: 0.034
  25. Inflammatory Marker Testing Identifies CD74 Expression in Melanoma Tumor Cells, and Its Expression Associates with Favorable Survival for Stage III Melanoma. Clin Cancer Res. 2016 06 15; 22(12):3016-24.
    View in: PubMed
    Score: 0.034
  26. Loss of PTEN Promotes Resistance to T Cell-Mediated Immunotherapy. Cancer Discov. 2016 Feb; 6(2):202-16.
    View in: PubMed
    Score: 0.033
  27. Utility of BRAF V600E Immunohistochemistry Expression Pattern as a Surrogate of BRAF Mutation Status in 154 Patients with Advanced Melanoma. Hum Pathol. 2015 Aug; 46(8):1101-10.
    View in: PubMed
    Score: 0.032
  28. Beyond BRAF(V600): clinical mutation panel testing by next-generation sequencing in advanced melanoma. J Invest Dermatol. 2015 Feb; 135(2):508-515.
    View in: PubMed
    Score: 0.031
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.