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Tumor Discovery LCP2 regulates melanoma progression

A B

C D

Figure 4. Survival curves for high- and low-risk patients based on PIS. (A) Survival curves for DMFS in GSE65904 data set. (B) Survival curves for OS in
GSE65904 data set. (C) Survival curves for DFS in TCGA data set. (D) Survival curves for OS in TCGA data set.
PIS: Prognostic immune score; OS: Overall survival; DMFS: Distant metastasis-free survival; DFS: Disease-free survival; TCGA: The Cancer Genome Atlas.

Furthermore, ten (BLNK, CD81, CLEC4E, CPPED1, identified prognostic gene and the specific TAL. We found
IL18, ISG20, LCP2, MGRN1, RAB5C, and TRIM32) out that these identified prognostic genes were mainly correlated
+
of the 47 DEGs were statistically significant in predicting with CD8 T cells, Treg cells, B cells, M0 macrophages, and
the OS in univariate Cox proportional hazards models natural killer cells. It is worth noting that the expression
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and LASSO model in TCGA data set. Our results revealed level of LCP2 was positively associated with CD8 T-cells.
that elevated expression of CD81, IL18, MGRN1, RAB5C, A few studies have shown that LCP2 was differentially
and TRIM32 were associated with worse OS in melanoma expressed in many different types of tumors and was
patients, and elevated expression of BLNK, CLEC4E, correlated with prognosis in numerous cancers [10-12] .
CPPED1, ISG20, and LCP2 were associated with better Moreover, LCP2 was reported essential for normal T-cell
prognosis in melanoma patients. The PIS was calculated development and activation . In our present study, the
[14]
based on the linear combination of the expression of bioinformatics analyses revealed that high LCP2 expression
selected ten genes, and the PIS was statistically significant in melanoma patients was statistically significant for
in predicting OS and DFS in melanoma patients after predicting the OS in univariate Cox proportional hazards
adjusting for several clinical covariates.
models in TCGA data set and was associated with better
At present, numerous studies have reported the prognosis in melanoma patients. In addition, we found
important roles of various tumor-infiltrating immune cells that LCP2 expression was significantly positively correlated
+
in melanoma [25-28] . To investigate the association between with CD8 T-cells, indicating that LCP2 could be a potential
the selected ten prognostic genes and tumor-infiltrating immunotherapy target. Moreover, given the important role
immune cells, we applied CIBERSORT to TCGA data set of LCP2 in the immune system as reported in numerous
and obtained 22 distinct TAL subsets, and used Spearman’s published studies, we hence focused our efforts on
rank correlation to analyze the correlation between each investigating LCP2 in the subsequent studies. The in vivo

Volume 2 Issue 1 (2023) 8 https://doi.org/10.36922/td.308