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Prediction model for regional or distant recurrence in endometrial cancer based on classical pathological and immunological parameters

View Article: PubMed Central - PubMed

ABSTRACT

Background:: Adjuvant therapy increases disease-free survival in endometrial cancer (EC), but has no impact on overall survival and negatively influences the quality of life. We investigated the discriminatory power of classical and immunological predictors of recurrence in a cohort of EC patients and confirmed the findings in an independent validation cohort.

Methods:: We reanalysed the data from 355 EC patients and tested our findings in an independent validation cohort of 72 patients with EC. Predictors were selected and Harrell's C-index for concordance was used to determine discriminatory power for disease-free survival in the total group and stratified for histological subtype.

Results:: Predictors for recurrence were FIGO stage, lymphovascular space invasion and numbers of cytotoxic and memory T-cells. For high risk cancer, cytotoxic or memory T-cells predicted recurrence as well as a combination of FIGO stage and lymphovascular space invasion (C-index 0.67 and 0.71 vs 0.70). Recurrence was best predicted when FIGO stage, lymphovascular space invasion and numbers of cytotoxic cells were used in combination (C-index 0.82). Findings were confirmed in the validation cohort.

Conclusions:: In high-risk EC, clinicopathological or immunological variables can predict regional or distant recurrence with equal accuracy, but the use of these variables in combination is more powerful.

No MeSH data available.


Related in: MedlinePlus

Number of tumour-infiltrating CTLs for patients with and without recurrence for 72 patients in the validation cohort.
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fig3: Number of tumour-infiltrating CTLs for patients with and without recurrence for 72 patients in the validation cohort.

Mentions: Figure 2 represents DFS in the validation cohort and confirms the finding in previous studies that a high number of CTLs is related to a favourable disease course. Figure 3 is a boxplot illustrating the distribution of CTLs for patients from the validation cohort, with and without an event in DFS. There was one recurrence out of 19 patients with a CTL count above 50.


Prediction model for regional or distant recurrence in endometrial cancer based on classical pathological and immunological parameters
Number of tumour-infiltrating CTLs for patients with and without recurrence for 72 patients in the validation cohort.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4559831&req=5

fig3: Number of tumour-infiltrating CTLs for patients with and without recurrence for 72 patients in the validation cohort.
Mentions: Figure 2 represents DFS in the validation cohort and confirms the finding in previous studies that a high number of CTLs is related to a favourable disease course. Figure 3 is a boxplot illustrating the distribution of CTLs for patients from the validation cohort, with and without an event in DFS. There was one recurrence out of 19 patients with a CTL count above 50.

View Article: PubMed Central - PubMed

ABSTRACT

Background:: Adjuvant therapy increases disease-free survival in endometrial cancer (EC), but has no impact on overall survival and negatively influences the quality of life. We investigated the discriminatory power of classical and immunological predictors of recurrence in a cohort of EC patients and confirmed the findings in an independent validation cohort.

Methods:: We reanalysed the data from 355 EC patients and tested our findings in an independent validation cohort of 72 patients with EC. Predictors were selected and Harrell's C-index for concordance was used to determine discriminatory power for disease-free survival in the total group and stratified for histological subtype.

Results:: Predictors for recurrence were FIGO stage, lymphovascular space invasion and numbers of cytotoxic and memory T-cells. For high risk cancer, cytotoxic or memory T-cells predicted recurrence as well as a combination of FIGO stage and lymphovascular space invasion (C-index 0.67 and 0.71 vs 0.70). Recurrence was best predicted when FIGO stage, lymphovascular space invasion and numbers of cytotoxic cells were used in combination (C-index 0.82). Findings were confirmed in the validation cohort.

Conclusions:: In high-risk EC, clinicopathological or immunological variables can predict regional or distant recurrence with equal accuracy, but the use of these variables in combination is more powerful.

No MeSH data available.


Related in: MedlinePlus