TP53 Combined Phenotype Score Is Associated with the Clinical Outcome of TP53-Mutated Myelodysplastic Syndromes.

Mutations of TP53 are observed in 5-10% of patients in myelodysplastic syndrome (MDS) and are associated with adverse outcomes. Previous studies indicate that the TP53 allelic state and variant allele frequency of TP53 mutation impact patient outcomes, but there is significant heterogeneity within this MDS subgroup. We performed retrospective review of clinicopathologic and genomic information of 107 patients with TP53-mutated MDS. We assessed each mutation according to the phenotypic annotation of TP53 mutations (PHANTM) and analyzed the associations between predicted TP53 mutant function, represented by the PHANTM combined phenotype score, and overall survival (OS) using the log rank test and Cox regression. Our results indicated that patients with PHANTM combined phenotype score above the median (>1) had significantly shorter OS compared to those with scores below the median (median OS: 10.59 and 16.51 months, respectively, p = 0.025). This relationship remained significant in multivariable analysis (HR (95%CI): 1.62 (1.01-2.58), p = 0.044) and identified to have an independent prognostic influence, accounting for known risk such as IPSS-R and other standard risk variables. Our results suggest that the functional information of TP53 mutations, represented by PHANTM combined phenotype score, are associated with the clinical outcome of patients with TP53-mutated MDS.

1. Introduction

Myelodysplastic syndrome (MDS) is a heterogeneous group of myeloid disorders characterized by ineffective hematopoiesis leading to cytopenias and risk of transformation to acute myeloid leukemia (AML) [1]. TP53, a tumor suppressor gene, is the most frequently mutated gene in cancer, and mutations of TP53 are observed in 5–10% of patients with MDS [1,2,3,4]. In patients with MDS, TP53 mutations are associated with high-risk disease, rapid transformation to AML, resistance to conventional therapies, and shorter survival [5,6,7,8,9,10].

While TP53 mutations are known to be associated with complex karyotypes and generally predict poor prognosis in myeloid neoplasms, associations between outcome and the predicted functional deficit of specific TP53 mutations have not been well characterized [5]. A tumor suppressor gene is a gene that regulates cell division and replication, and a loss or reduction in its function caused by gene deletion, truncation, or alteration in promoter lesions results in uncontrollable cell growth and leads to oncogenesis [11,12]. However, unlike most tumor suppressor genes, the most common genetic alterations in TP53 are missense mutations which can happen throughout the gene [3,13]. It has previously been argued that loss of p53 function is the critical determinant in cancer, yet the preponderance of missense mutations relative to truncation mutations also argues that full-length mutant p53 actively promotes tumor development [14,15]. Mutant p53 protein is often abundantly expressed in cancers and specific allelic variants exhibit dominant-negative or gain-of-function activities in experimental models [16,17,18,19,20,21]. Experimental models also show that over 80% of full-length TP53 DNA-binding domain missense mutants that displays loss-of-function also display dominant-negative activity, suggesting that the ability of mutant p53 to interfere with wild type p53 is critical during tumorigenesis [15]. To determine the function of each missense or nonsense TP53 mutations, Giacomelli et al. created a comprehensive library of p53 mutants and evaluated the function of these alleles in the presence or absence of endogenous p53 [15]. From these data, they developed a classifier which provides functional classification for any missense and nonsense variant of TP53 (phenotypic annotation of TP53 mutations (PHANTM); http://mutantp53.broadinstitute.org, accessed on 4 February 2020) [15].

In this study, we estimated p53 mutant function, represented by the PHANTM combined phenotype score, and determined the impact of this score on the overall survival (OS) of patients with TP53-mutated MDS.

2. Materials and Methods

2.1. Study Group

We searched the medical records of Memorial Sloan Kettering Cancer Center and Massachusetts General Hospital, Harvard Medical School, for cases diagnosed with MDS with TP53 mutation between January 2007 and December 2019. Search was focused on identifying the patients with no prior disease-modifying therapy for MDS, i.e., no prior cytotoxic therapy for MDS with or without a history of transfusion and growth factor administration. The diagnosis of MDS was based on criteria specified in the World Health Organization classification [1]. We performed a retrospective review of the medical records. As part of the chart review, we collected demographic information, history of any prior cytotoxic therapies, the clinical presentation, findings on physical examination, underlying diseases, laboratory data, therapy, and clinical follow-up. Prognostic risk was calculated using the revised International Prognostic Scoring System (IPSS-R) [22]. These data were collected according to protocols approved by the institutional review boards of all institutions in accordance with the Declaration of Helsinki.

2.2. Conventional Cytogenetics and Fluorescence In Situ Hybridization Analysis

Conventional karyotyping was performed on bone marrow aspirate and reported by using the International System for Human Cytogenetic Nomenclature (ISCN) 2013 [23]. Fluorescence in situ hybridization (FISH) analysis was performed with BM aspirate on a subset of cases to assess for loss of 17p using LSI TP53/CEP17 FISH Prove Kit (Abbott Molecular/Vysis, Des Plaines, IL, USA). A total of 300 interphases were analyzed. The cutoff established in our laboratory was 3% for TP53 (17p13.1) deletion.

2.3. Next-Generation Sequencing

Next-generation sequencing was performed using different platforms that evaluated similarly compiled 30 myeloid gene panels in addition to TP53. Many of these cases were evaluated by a next-generation sequencing-based custom-designed assay using the Illumina MiSeq platform. TP53 mutations were characterized by variant type and exon location, and variant allele frequency (VAF). The number of other co-mutated genes was also recorded. The limit of detection for variant calling was 2%.

2.4. TP53 Mutation Phenotype Score (PHANTM Combined Phenotype Score)

We applied phenotypic annotation of TP53 mutations (PHANTM); http://mutantp53.broadinstitute.org (accessed on 4 February 2020) for detected missense and nonsense TP53 mutations, and PHANTM combined phenotype score was calculated for each patient. This supports functional classification for missense and nonsense variants in the gene TP53; therefore, for the cases with frameshift mutation, in-frame deletion, or splice site mutation, we applied the score of 1 based on literatures that shows pathogenic features of these gene alterations [24,25].

2.5. Statistical Analysis

The primary endpoint of this study was overall survival (OS) time, defined as the time from the date of MDS diagnosis until the date of death or last follow-up. Only patients with TP53 mutations were included in this study; therefore, we account for the interval from diagnosis of MDS until TP53 sequencing, when patients enter the risk set, using left-truncation [26]. Median OS was estimated using the Kaplan–Meier method and compared between groups using the log rank test. Continuous variables were assessed using Cox regression. We explored combined phenotype score as both a categorical variable dichotomized at the median and as a continuous variable. Combined phenotype score was evaluated for independent association with OS in multivariable Cox regression models controlling for clinically and statistically significant factors. Combined phenotype score was also evaluated for association with important clinical factors using Pearson’s Chi-squared test or the Wilcoxon rank sum test. AML transformation and transplant were analyzed for association with OS as time-dependent covariates in Cox regression models. A p value of <0.05 was considered statistically significant. All statistical analyses were performed in R version 3.6.1 (R Foundation for Statistical Computing, Vienna, Austria).

3. Results

3.1. Patient Characteristics

We identified 107 patients with TP53-mutated MDS with no prior disease modifying therapy. Patient characteristics are summarized in Table 1.

Table 1

Clinical characteristics of patients (n = 107) with MDS with TP53 mutation.

Clinical Characteristics	n (%)
Age (Median), Year
Median	73
Range	24–91
Gender
Male	72 (67)
Female	35 (33)
MDS Type
de novo MDS	57 (53)
Therapy-related MDS	50 (47)
Time from MDS Diagnosis to TP53 Testing, Month
Median	0.3
Range	0–41.2
WHO subtypes (including Therapy-Related MDS)
MDS-SLD	1 (0.9)
MDS-MLD	56 (52)
MDS-RS-MLD	4 (3.7)
MDS with isolated del5q	2 (1.9)
MDS-EB-1	26 (24)
MDS-EB-2	18 (17)
IPSS-R
Very High	62 (60)
High	23 (22)
Intermediate	11 (11)
Low	5 (4.8)
Very Low	3 (2.9)
Unknown (due to lack of cytogenetic data)	3 (NA)
IPSS-R Cytogenetic Risk Groups
Very good	0 (0)
Good	11 (11)
Intermediate	2 (1.9)
Poor	12 (12)
Very poor	79 (76)
Unknown (due to lack of cytogenetic data)	3 (NA)
CBC
Hemoglobin, g/dL
Median	8.7
Range	4.0–14.2
Platelets, ×109/L
Median	60
Range	1–422
ANC, ×109/L
Median	1.14
Range	0.01–8.63
Blast %, Bone Marrow Differential Count
Median	6
Range	0–18

3.2. TP53 Mutations, Other Co-Mutations, and Cytogenetic Abnormalities

3.2.1. TP53 Mutations

Information of TP53 mutations is summarized in Figure 1. A total of 128 mutations were identified in 107 patients with median VAF of 0.29 (range 0.02 to 1.00). Twenty-one patients had two TP53 mutations. VAF was not available in three patients (all with one TP53 mutation). In patients with two mutations, the TP53 mutations with the higher VAF were designated as the primary TP53 mutations in this study for evaluation purpose. The median VAF of the primary TP53 mutations were 0.34 (range 0.02 to 1.00, n = 104). Missense mutations were the most common (86 patients, 80%), followed by splice site mutations (seven patients, 6.5%), frameshift mutations (six patients, 5.6%), nonsense mutations (five patients, 4.7%), and in-frame deletions (three patients, 2.8%). The median VAF of secondary TP53 mutations were 0.22 (range 0.04 to 0.44, n = 21). Missense mutations were again the most common (12 patients, 57%), followed by nonsense mutations (four patients, 19%), splice site mutations (four patients, 19%), and frameshift mutations (one patient, 4.8%).

Figure 1

TP53 mutations identified in our cohort.

3.2.2. Other Co-Mutations

Among 107 patients, 47 patients (44%) had additional mutation(s) in addition to the TP53 mutation (Figure 2). In these patients with co-mutation(s), the median number of additional mutation(s) was 1 (range 1 to 6), and DNMT3A was the most frequent co-mutation (13/107, 12%) followed by TET2 (11/107, 10%).

Figure 2

Other co-mutations identified in our cohort.

3.2.3. Cytogenetic Abnormalities

Cytogenetic data were available for 104 patients, and 33 patients showed loss of 17p by conventional karyotype and/or FISH. Fifty patients had one TP53 mutation with no loss of 17p, 21 patients had two TP53 mutations with no loss of 17p, and 33 patients had one TP53 mutation with loss of 17p.

3.3. PHANTM Combined Phenotype Score

PHANTM combined phenotype score was calculated from the primary mutation in each patient. It ranged from −0.559 to 1.778 (median 1.00) (Table S1). PHANTM combined phenotype score, when analyzed as either continuous or as binary variable dichotomized at the median, was not significantly associated with the number of TP53 mutations or the presence of other co-mutations (Table 2).

Table 2

PHANTM combined phenotype score (n = 107).

Variables	Range	Median
PHANTM combined phenotype score	−0.559 to 1.78	1.00
	Number of TP53 mutations
	1 (n = 86)	2 (n = 21)	p value *
PHANTM combined phenotype score (Median, (IQR))	1.00 (0.81, 1.22)	1.07 (0.99, 1.31)	0.3
PHANTM combined phenotype score
−0.559 to 1	45 (52%)	9 (43%)	0.4
1< to 1.78	41 (48%)	12 (57%)
	Number of co-mutations
	0 (n = 60)	1+ (n = 47)	p value *
PHANTM combined phenotype score (Median, (IQR))	1.00 (0.90, 1.22)	1.04 (0.79, 1.33)	>0.9
PHANTM combined phenotype score
−0.559 to 1	31 (52%)	23 (49%)	0.8
1< to 1.78	29 (48%)	24 (51%)

*: Wilcoxon rank sum test; Pearson’s Chi-square test.

3.4. Therapy

During the follow up, 39 patients (36.4%) showed transformation to AML. Among these 39 patients who progressed to AML, 15 patients (38.5%) received stem cell transplant. Among 68 patients who did not progress to AML, 23 patients (33.8%) received stem cell transplant.

3.5. Outcome

Patient’s outcome and its association with clinical and mutational characteristics are summarized in Table 3 and Figure 3. In the study cohort of 107 patients, 79 died. The median follow-up after diagnosis was 12.8 months (range: 0–50.5) among survivors. Median OS months (95% CI) was 14.84 (11.09–19.51). Median time from diagnosis to TP53 testing was 0.2 months (range: 0–40.7). TP53 testing was performed within 3 months of diagnosis for 97 patients (91%) and after 3 months for 10 patients (9%); the median time to TP53 testing for this subset was 9 months (range: 3.6–40.7). There was no significant difference in OS between patients with de novo MDS and therapy-related MDS (median OS: 15.07 and 10.59 months, respectively. p = 0.674). When we compared the WHO categories stratified by blast percentage, there was no significant difference in OS between MDS-EB-1/2 and MDS without excess blasts (median OS: 15.56 and 11.09 months, respectively. p = 0.806). The OS of lower risk IPSS-R groups (VL, L, I) was significantly longer than the IPSS-R higher risk groups (VH, H) (median OS: 32.93 and 12.76 months, respectively, p = 0.004). When we stratified by IPSS-R cytogenetic risk groups, the OS of lower risk groups (good, intermediate) showed tendency to have longer survival than the higher risk groups (poor, very poor); however, this finding was not statistically significant in our cohort (median OS: 23.52 and 13.03 months, respectively, p = 0.14). Cytopenia was also associated with poorer prognosis. This finding was statistically significant for the hemoglobin level (<10 vs. ≥10 g/dL, p = 0.036) and absolute neutrophil count (<0.8 vs. ≥0.8 × 109/L, p = 0.002) in our cohort. Higher hemoglobin level and higher absolute neutrophil count were significantly associated with better outcome.

Table 3

Association of clinical and mutational characteristics with prognosis.

Clinical and Mutational Characteristics	n	Median Survival (Months)	95% CI *	p Value
Overall survival, all patients	107	14.84	11.09–19.51	NA
Diagnosis
De novo MDS	57	15.07	10.79–23.49	0.674
Therapy-related MDS	50	10.59	8.06–16.51
MDS-excess blasts	44	15.56	10.59–21.35	0.806
MDS-other	63	11.09	6.58–15.33
IPSS-R
Very High, High	85	12.76	9.77–16.32	0.004
Intermediate, Low, Very Low	19	32.93	15.33–NA
IPSS-R Cytogenetic risk groups
Good, Intermediate	13	23.52	12.76–NA	0.140
Poor, Very Poor	91	13.03	10.1–16.38
Hemoglobin level (g/dL)
<10	74	12.17	7.66–16.38	0.036
≥10	32	15.92	11.09–35.1
Platelet count (×109/L)
<100	80	13.03	10.1–19.44	0.149
≥100	26	13.32	9.77–NA
Absolute neutrophil count (×109/L)
<0.8	39	10.10	5.89–15.56	0.002
≥0.8	67	15.33	12.96–22.6
Number of TP53 mutations
1	86	14.31	10.59–20	0.094
2	21	8.16	5.89 -19.61
TP53 VAF
<0.2	31	9.77	6.74–20.39	0.858
0.2–0.5	42	13.03	10.1–21.41
>0.5	31	16.32	10.23–23.49
Number of co-mutations
0	60	9.38	6.71–15.92	0.037
≥1	47	15.33	12.76–25.66
TP53 mutation and 17p loss
1 TP53 mutation and no loss of 17p	50	16.38	12.17–25.66	0.07
1 TP53 mutation and loss of 17p	33	12.76	9.38–21.35
2 TP53 mutations	21	8.16	5.89–19.61
PHANTM combined phenotype score
−0.559 to 1	54	16.51	12.27–23.52	0.025
>1 to 1.778	53	10.59	8.98–15.33
Analysis as a continuous variable		HR	95% CI *	p value
PHANTM phenotype score	107	1.77	1.04–3.01	0.035
TP53 VAF	104	0.99	0.91–1.08	0.817

* Confidence Interval; BOLD p value <0.05.

Figure 3

Univariate analysis for association with OS.

When we analyzed the genetic data, median OS was significantly shorter for patients with PHANTM combined phenotype score above the median (>1) than that of the patients with scores below the median (≤1) (median OS: 10.59 and 16.51 months, respectively, p = 0.025). When analyzed as a continuous variable, higher PHANTM combined phenotype score was significantly associated with increased risk of death (HR (95%CI):1.77 (1.04–3.01), p = 0.035). Sixteen patients had PHANTM combined phenotype score of 1, and all of these patients had either frameshift mutation (six patients), in-frame deletion (three patients), or splice site mutation (seven patients). Therefore, we also evaluated the prognostic influence of PHANTM combined phenotype score by univariate analysis among these 3 groups; <1, 1 and >1. We observed the consistent findings (p = 0.027); however, due to the small number of patients in the middle group, the confidence interval of the median OS estimate was wide (Table S2). Patients with two TP53 mutations showed a tendency to have shorter survival than patients with one TP53 mutation (median OS: 8.16 versus 14.31 months, respectively, p = 0.094). TP53 VAF did not show statistically significant impact on prognosis both by either continuous or categorical analysis (<0.2 vs. 0.2–0.5 vs. >0.5). Locus of TP53 mutation and TP53 mutation type (missense vs. other) did not significantly differentiate patients on survival. The median OS was significantly longer for patients with 1+ co-mutations than that of the patients with no co-mutation (median OS: 15.33 and 9.38 months, respectively, p = 0.037). Patients who had one TP53 mutation and loss of chromosome 17p had shorter OS than that of the patients with one TP53 mutation with no loss of chromosome 17p (median OS: 12.76 and 16.38 months, respectively), and the patients with two TP53 mutations had the shortest OS among these three groups (OS: 8.16 months). However, these findings did not reach statistical significance (p = 0.07).

We did not see the statistical difference of prognosis between patients who received or not received allogeneic transplant (HR (95%CI): 0.82 (0.30–2.26), p = 0.71), or between patients who transformed or not transformed to AML (HR (95%CI): 0.58 (0.17–1.97), p = 0.39) in our cohort.

The results of multivariable analysis for association with OS are summarized in Table 4. PHANTM combined phenotype score as a categorical variable, dichotomized at the median (over 1 vs. equal or less than 1), was found to be an independent prognostic factor in the patients with TP53 mutated MDS (HR (95%CI): 1.62 (1.01–2.58, p = 0.044). Among other factors analyzed, IPSS-R showed independent prognostic significance (HR (95%CI): 0.42 (0.19–0.91), p = 0.028 for low vs. high risk groups). Having two TP53 mutations was also independently associated with increased risk of death (HR (95%CI): 1.84 (1.04–3.25), p = 0.037). Finding was not statistically significant when analysis was performed with PHANTM combined phenotype score as a continuous variable (HR (95%CI): 1.53 (0.87–2.71, p = 0.14).

Table 4

Multivariate analysis for association with OS.

Variables	HR *	95% CI #	p Value
IPSS-R
Very High, High	─	─
Intermediate, Low, Very Low	0.42	0.19–0.91	0.028
Number of TP53 mutations
1	─	─
2	1.84	1.04–3.25	0.037
Number of co-mutations
0	─	─
1+	0.70	0.43–1.14	0.2
Loss of 17p
No	─	─
Yes	0.97	0.59–1.58	0.9
PHANTM combined phenotype score (Binary analysis)
−0.559 to 1	─	─
>1 to 1.778	1.62	1.01–2.58	0.044
	HR *	95% CI #	p value
IPSS-R
Very High, High	─	─
Intermediate, Low, Very Low	0.40	0.18–0.88	0.023
Number of TP53 mutations
1	─	─
2	1.80	1.01–3.20	0.045
Number of co-mutations
0	─	─
1+	0.74	0.45–1.21	0.2
Loss of 17p
No	─	─
Yes	0.97	0.59–1.59	>0.9
PHANTM combined phenotype score (continuous analysis)	1.53	0.87–2.71	0.14

* Hazard Ratio; # Confidence Interval; BOLD p value <0.05.

4. Discussion

Mutations in TP53 are observed in 5–10% of patients with MDS and are associated with adverse outcomes [8,9,10,27]. Preclinical models suggest that distinct mutation types in different TP53 mutation types in different TP53 gene domains may lead to different impacts on protein functionality [28,29,30,31]. Whether these functional differences translate into distinct clinical features and outcomes and how the type, number, and size of TP53 mutations influence the prognosis of patients with TP53-mutated MDS remains unclear. We applied the TP53 phenotypic scoring system created by Giacomelli et al. to annotate the P53 mutant function and analyzed its association with outcome. We identified that the median OS was significantly shorter for patients with PHANTM combined phenotype score above the median (>1) than that of the patients with scores below the median. When analyzed as a continuous variable, higher PHANTM combined phenotype score was associated with increased risk of death. By multivariable analysis, PHANTM combined phenotype score as a categorical variable, dichotomized at the median (over 1 vs. equal or less than 1), was found to be an independent prognostic factor in the patients with TP53 mutated MDS, along with other factors analyzed, including IPSS-R and having two TP53 mutations. Our data suggest that the functional information of TP53 mutations, represented by PHANTM combined phenotype score independently influence the clinical outcome in TP53-mutated myelodysplastic syndromes.

We applied the score of 1 for the cases with frameshift mutation, in-frame deletion, or splice site mutation, based on literatures that shows pathogenic features of these gene alterations [24,25]. In our cohort, 16 patients had PHANTM combined phenotype score of 1, and all of these patients had either frameshift mutation (six patients), in-frame deletion (three patients), or splice site mutation (seven patients). Therefore, we also evaluated the prognostic influence of PHANTM combined phenotype score by univariate analysis among these three groups: <1, 1, and >1. We observed the consistent findings (p = 0.027); however, due to the small number of patients in the middle group, the confidence interval of the median OS estimate was wide (Table S2). Analysis with larger cohort to obtain stable estimate is needed to confirm this finding in the future.

Detailed mechanisms of which factors of TP53 mutation have the most influence on prognosis are not well defined in patients with TP53-mutated MDS, including the types of TP53 mutation (missense, nonsense, or other), the number of TP53 mutations, or VAF of the TP53 mutation. One previous study showed that the types of TP53 mutation (missense, nonsense, or other) or location of TP53 mutations did not show significant association with OS, with only a trend to worse outcomes in patients with mutations not involving DNA-binding domain [32]. Another study performed in the post-transplant setting showed that patients with TP53 truncating mutations (frameshift, nonsense, or splice site) had poor survival compared to those with missense only or missense plus truncating mutations [7]. Previous studies also showed that there was no correlation between the number of TP53 mutations and OS [7,32]. In our study, based on the results of univariate analysis and previously published data, we chose IPSS-R, number of TP53 mutations, loss of 17p, and number of co-mutations as the variables for multivariate analysis along with PHANTM combines phenotype score [22,33]. Patients with one TP53 mutation had longer OS than patients with 2 TP53 mutations, and the finding was statistically significant only by multivariate analysis. Our study showed no significant correlation between the type or location of TP53 mutations and OS.

A recent study by Bernard et al. reported the importance of the allelic status of TP53 [33]. They reported that the multi-hit TP53 state (more than one gene mutation, mutation and deletion, mutation and copy-neutral loss of heterozygosity) in MDS underlies established associations with genome instability, treatment resistance, disease progression and dismal outcomes, indicating that consideration of TP53 allelic state is critical for diagnostic and prognostic precision in MDS [33]. The results of our study support this finding, since the patients with one TP53 mutation with no loss of chromosome 17p had longer OS than that of the patients with TP53 mutation and loss of chromosome 17p (median OS: 12.76 and 16.38 months, respectively), and the patients with 2 TP53 mutations had the shortest OS among these three groups (OS: 8.16 months). However, these findings did not reach statistical significance in our limited cohort of 107 patients (p = 0.07). This may reflect the relatively small size of our cohort or the inability to detect copy-neutral LOH in our study, which represented 20% of the TP53 multi-hit cases in the Bernard et al. study [33]. Although the prognostic significance of the TP53 VAF reported in several studies could be explained by a correlation between high VAF and multi-hit TP53 status, some studies, including ours, did not find TP53 VAF to correlate with outcome [7,10,32,34,35]. The VAF is influenced by sample quality (hemodilution) and the presence of normal background hematopoietic cells, thus it may not accurately reflect the single versus multi-hit status of the TP53 gene.

Our study also showed that co-mutation(s) of other oncogenic genes (other driver mutations), IPSS-R and cytopenias are significantly associated with prognosis. It has been previously reported that the total number of co-mutations differ among the TP53 allelic status [33]. Patients with monoallelic TP53 mutations frequently have several co-mutations, while patients with multi-hit TP53 state have fewer co-mutations [33]. Our study showed that the median OS was significantly longer for patients with 1+ co-mutations than that of the patients with no co-mutation (median OS: 15.33 and 9.38 months, respectively, p = 0.037). This is likely reflecting the comparison of OS between patients with monoallelic TP53 mutations and patients with multi-hit TP53 state. Blast percentage and preceding cytotoxic therapy have been reported to be associated with prognosis in TP53-mutated MDS; however, we did not see any difference in prognosis between MDS with excess blasts and other MDS, or between de novo and therapy-related disease in our cohort [32,36].

5. Conclusions

We found that the functional status of TP53 mutations, represented by PHANTM combined phenotype score, is independently associated with the clinical outcome in patients with TP53-mutated MDS. In patients with TP53-mutated MDS, higher PHANTM combined phenotype score is associated with poorer clinical outcome. Our findings suggest that TP53-mutated MDS is heterogeneous and that not all TP53 mutations harbor the same impact on prognosis. Use of the PHANTM combined score may help improve prognostic precision in MDS in addition to the previously reported TP53 allelic state.