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. 2022 Sep 7;82(22):4126–4138. doi: 10.1158/0008-5472.CAN-22-0948

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©2022 The Authors; Published by the American Association for Cancer Research

This open access article is distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) license.

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Figure 5. Summary of treatment responses in lung PDX models. (A) LUAD, (B) LUSC, and (C) all other lung cancer types. Treatment responses were calculated as percent change in tumor volume for each animal as V: [(end_volume – start_volume)/start_volume) × 100] at day 21. Within each group the minimum (Vm) and average volume (Va) were calculated with response classifications calculated as follows CR: Vm < −95%, Va < −40%; PR: Vm < −50%, Va < −20%; SD: Vm < 35%, Va < 30%; PD: anything else. The number of treatments in each RECIST category is shown at the top, and number of models in each RECIST category is shown on the right side of each plot. The color bar at the bottom indicates the treatment naïve and mutation status (KRAS, EGFR, and EML4-ALK fusion) of each model. Plots were generated with the R package Xeva (version 1.6.0). — Summary of treatment responses in lung PDX models. LUAD (A), LUSC (B), and all other lung cancer types (C). Treatment responses were calculated as percent change in tumor volume for each animal as V: [(end_volume – start_volume)/start_volume) × 100] at day 21. Within each group the minimum (V_m) and average volume (V_a) were calculated with response classifications calculated as follows: CR, V_m < −95%, V_a < −40%; PR, V_m < −50%, V_a < −20%; SD, V_m < 35%, V_a < 30%; PD, anything else. The number of treatments in each RECIST category is shown at the top, and number of models in each RECIST category is shown on the right side of each plot. The color bar at the bottom indicates the treatment naïve and mutation status (KRAS, EGFR, and EML4-ALK fusion) of each model. Plots were generated with the R package Xeva (version 1.6.0).