Connection
Tejas Patil to Prognosis
This is a "connection" page, showing publications Tejas Patil has written about Prognosis.
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Connection Strength |
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0.280 |
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Nie Y, Staley A, Hinz TK, Perez-Johnston R, Merrick DT, Yang MC, Davies KD, Bunn PA, Aisner DL, Camidge DR, Schenk EL, Heasley LE, Patil T. High Programmed Death-Ligand 1 Expression is Associated With a Shorter Progression Free Survival in ALK-Rearranged Lung Cancer Patients Treated With First Line Tyrosine Kinase Inhibitors. Clin Lung Cancer. 2026 Jun; 27(5):96-105.
Score: 0.127
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Patil T, Mushtaq R, Marsh S, Azelby C, Pujara M, Davies KD, Aisner DL, Purcell WT, Schenk EL, Pacheco JM, Bunn PA, Camidge DR, Doebele RC. Clinicopathologic Characteristics, Treatment Outcomes, and Acquired Resistance Patterns of Atypical EGFR Mutations and HER2 Alterations in Stage IV Non-Small-Cell Lung Cancer. Clin Lung Cancer. 2020 05; 21(3):e191-e204.
Score: 0.082
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Klein M, Watson D, Castro M, Kapoor S, Nair PR, Rajagopalan S, Qin H, Glaser M, Westanmo A, Lala DA, Kumar A, Chauhan J, G P, Ullal YS, Kulkarni S, Narvekar Y, Ghosh A, Tyagi A, Patil M, Macpherson MD, Wingrove JA, Patil T, Aggarwal C, Ganti AK. Use of an Integrative Genomics Approach to Identify Metastatic NSCLC Patients Benefiting From the Addition of Chemotherapy to Immune Checkpoint Inhibitors. Clin Lung Cancer. 2026 May; 27(4):5-13.
Score: 0.031
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Reckamp KL, Patil T, Kirtane K, Rich TA, Espenschied CR, Weipert CM, Raymond VM, Santana-Davila R, Doebele RC, Baik CS. Duration of Targeted Therapy in Patients With Advanced Non-small-cell Lung Cancer Identified by Circulating Tumor DNA Analysis. Clin Lung Cancer. 2020 11; 21(6):545-552.e1.
Score: 0.021
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Ng TL, Liu Y, Dimou A, Patil T, Aisner DL, Dong Z, Jiang T, Su C, Wu C, Ren S, Zhou C, Camidge DR. Predictive value of oncogenic driver subtype, programmed death-1 ligand (PD-L1) score, and smoking status on the efficacy of PD-1/PD-L1 inhibitors in patients with oncogene-driven non-small cell lung cancer. Cancer. 2019 04 01; 125(7):1038-1049.
Score: 0.019
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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.
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