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Original Articles: Clinical Oncology

Tumor-infiltrating lymphocytes predict efficacy of immunotherapy in advanced non-small cell lung cancer: a single-center retrospective cohort study

ORCID Icon, , , , & ORCID Icon
Pages 853-860 | Received 04 Feb 2023, Accepted 19 Jun 2023, Published online: 28 Jun 2023

Figures & data

Table 1. Patient demographics and baseline characteristics.

Figure 1. Representative pictures of TILs infiltration density by immunohistochemical staining (×200). CD8+ TILs with high (a) and low (b) infiltration density. CD4+ TILs with high (c) and low (d) infiltration density. IFN-γ+ Th1 with high (e) and low (f) infiltration density. IL-4+ Th2 with high (g) and low (h) infiltration density. Foxp3+ Treg with high (i) and low (j) infiltration density.

Figure 1. Representative pictures of TILs infiltration density by immunohistochemical staining (×200). CD8+ TILs with high (a) and low (b) infiltration density. CD4+ TILs with high (c) and low (d) infiltration density. IFN-γ+ Th1 with high (e) and low (f) infiltration density. IL-4+ Th2 with high (g) and low (h) infiltration density. Foxp3+ Treg with high (i) and low (j) infiltration density.

Figure 2. Forest plot for Cox regression analysis of PFS in the training cohort.

Figure 2. Forest plot for Cox regression analysis of PFS in the training cohort.

Figure 3. Forest plot for Cox regression analysis of OS in the training cohort.

Figure 3. Forest plot for Cox regression analysis of OS in the training cohort.

Figure 4. Nomogram prediction model construction and validation. Nomogram prediction model (a) constructed based on multivariate Cox analysis. Time-dependent AUC in the training cohort (b) and validation cohort (c). nomogram calibration curves in the training cohort (d) and validation cohort (e).

Figure 4. Nomogram prediction model construction and validation. Nomogram prediction model (a) constructed based on multivariate Cox analysis. Time-dependent AUC in the training cohort (b) and validation cohort (c). nomogram calibration curves in the training cohort (d) and validation cohort (e).
Supplemental material

Supplemental Material

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Data availability statement

The datasets used and/or analyzed during the current study are available from the corresponding author upon reasonable request.

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