**Figure 3.**

**193**

**CRC Cell line**

HT-29 SW480 HCT116

LoVo

DiFi SW48 SW1116 COLO320

LIM1863

DLD-1

RKO

**Table 1.**

*Bioinformatics results on RXR and RAR mutations in CRC cell lines.*

No

High

Yes

Stabe

Yes

Stabe

Yes

Stabe

Yes

Stabe

Yes

High

Yes

Stabe

Yes

Low

Yes

High

Yes

Stabe

Yes

Stable

No No Yes Yes Yes Yes No No Yes No No *Analysis done using the COSMIC database on human somatic mutations in cancer (https://cancer.sanger.ac.uk/cosmic).*

No

No

No

Yes

No

Yes

?

?

?

?

?

?

?

?

?

?

?

?

No

No

No

No

No

No

No

No

No

Yes

No

No

Yes

No

No

No

No

No

No

No

No

No

No

No

No

No

No

Yes

No

No

Yes

No

No

No

No

No

Yes

No

No

No

No

Yes

No

No

No

No

No

No

**APC mutation**

**Microsatellite instability**

**Beta-catenin mutation**

**RARA mutation**

**RARB mutation**

**RARG mutation**

**RXRA mutation**

**RXRB mutation**

**RXRG mutation**

*Retinoids in Treatment of Colorectal Cancer DOI: http://dx.doi.org/10.5772/intechopen.93699*

*Kaplan-Meier survival analysis of RA signaling genes that predict (p < 0.05) CRC patient survival. (A) shows survival curves for RARs (retinoic acid receptors), RXRs (retinoid X receptors), CRABPs (cellular retinoic acid binding proteins), and RBPs (retinol binding proteins). (B) shows survival curves for LRAT (lecithin retinol acyltransferase), RDHs (retinol dehydrogenases), and DHRS3 (retinaldehyde reductase-3). (B) shows survival curves for CYP26A1 (cytochrome P450 family 26 subfamily A member 1), STRA6 (stimulated by retinoic acid 6), and ADHs (alcohol dehydrogenases). Curves reflect low (blue) and high (red) gene expression. Y axis = survival probability (0.0–1.0). X axis = time (years 0–12). Bioinformatics data derived from the human protein atlas (https://www.proteinatlas.org).*


## *Retinoids in Treatment of Colorectal Cancer DOI: http://dx.doi.org/10.5772/intechopen.93699*

*Colorectal Cancer*

**192**

**Table 1.**

*Bioinformatics results on RXR and RAR mutations in CRC cell lines.*

**Figure 3.**

*atlas (https://www.proteinatlas.org).*

*Kaplan-Meier survival analysis of RA signaling genes that predict (p < 0.05) CRC patient survival. (A) shows survival curves for RARs (retinoic acid receptors), RXRs (retinoid X receptors),* 

*CRABPs (cellular retinoic acid binding proteins), and RBPs (retinol binding proteins). (B) shows survival curves for LRAT (lecithin retinol acyltransferase), RDHs (retinol dehydrogenases), and* 

*DHRS3 (retinaldehyde reductase-3). (B) shows survival curves for CYP26A1 (cytochrome P450 family 26 subfamily A member 1), STRA6 (stimulated by retinoic acid 6), and ADHs (alcohol* 

*dehydrogenases). Curves reflect low (blue) and high (red) gene expression. Y axis = survival probability (0.0–1.0). X axis = time (years 0–12). Bioinformatics data derived from the human protein* 
