Limits...
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

Examples of immunohistochemical staining for CD8 in high-risk EC (A) tumour with low number of CTLs. (B) Tumour with high numbers of CTLs.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
getmorefigures.php?uid=PMC4559831&req=5

fig1: Examples of immunohistochemical staining for CD8 in high-risk EC (A) tumour with low number of CTLs. (B) Tumour with high numbers of CTLs.

Mentions: For the validation cohort, tissue microarrays were constructed in a similar manner. Sections used for staining CD8 were pre-treated with Ultra CC1 for 52 min at 95 °C. Staining for CD45R0 and CD8 was performed automatically with Ventana BenchMark ULTRA IHC/ISH Staining Module according to the manufacturer's instructions (Ventana Medical Systems Inc., Roche Group, Tucson, AZ, USA). Scoring was again carried out by two independent observers, blinded for patient characteristics. Discrepancies were resolved by consensus. Examples of staining for CTLs are shown in Figure 1.


Prediction model for regional or distant recurrence in endometrial cancer based on classical pathological and immunological parameters
Examples of immunohistochemical staining for CD8 in high-risk EC (A) tumour with low number of CTLs. (B) Tumour with high numbers of CTLs.
© Copyright Policy - open-access
Related In: Results  -  Collection

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

fig1: Examples of immunohistochemical staining for CD8 in high-risk EC (A) tumour with low number of CTLs. (B) Tumour with high numbers of CTLs.
Mentions: For the validation cohort, tissue microarrays were constructed in a similar manner. Sections used for staining CD8 were pre-treated with Ultra CC1 for 52 min at 95 °C. Staining for CD45R0 and CD8 was performed automatically with Ventana BenchMark ULTRA IHC/ISH Staining Module according to the manufacturer's instructions (Ventana Medical Systems Inc., Roche Group, Tucson, AZ, USA). Scoring was again carried out by two independent observers, blinded for patient characteristics. Discrepancies were resolved by consensus. Examples of staining for CTLs are shown in Figure 1.

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