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. 2022 Jan 5:13:18-31.
doi: 10.18632/oncotarget.28100. eCollection 2022.

The "Immunoscore" in rectal cancer: could we search quality beyond quantity of life?

Affiliations

The "Immunoscore" in rectal cancer: could we search quality beyond quantity of life?

Amos Kirilovsky et al. Oncotarget. .

Abstract

Because of the function and anatomical environment of the rectum, therapeutic strategies for local advanced rectal cancer (LARC) must deal with two challenging stressors that are a high-risk of local and distal recurrences and a high-risk of poor quality of life (QoL). Over the last three decades, advances in screening tests, therapies, and combined-modality treatment options and strategies have improved the prognosis of patients with LARC. However, owing to the heterogeneous nature of LARC and genetic status, the patient may not respond to a specific therapy and may be at increased risk of side-effects without the life-prolonging benefit. Indeed, each therapy can cause its own side-effects, which may worsen by a combination of treatments resulting in long-term poor QoL. In LARC, QoL has become even more essential with the increasing incidence of rectal cancer in young individuals. Herein, we analyzed the value of the Immunoscore-Biopsy (performed on tumor biopsy at diagnosis) in predicting outcomes, alone or in association with clinical and imaging data, for each therapy used in LARC.

Keywords: immunoscore; prognosis; radiochemotherapy; rectal cancer; watch and wait.

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Conflict of interest statement

CONFLICTS OF INTEREST J.G., F.P., A.K. and G.Z. have patents associated with the immune prognostic biomarkers. J.G. is co-founder of HalioDx biotech company. Immunoscore® a registered trade-mark from the National Institute of Health and Medical Research (INSERM) licensed to HalioDx. The other authors declare no conflicts of interest.

Figures

Figure 1
Figure 1
(A) Left: Representative image of rectal biopsies with tumor region (pink) and normal tissue (blue) or dysplasia excluded from the analysis (blue). Right: CD3+ and CD8+ T cells automatic detection. Bottom: Chart illustrating the ISB calculation method: Densities of CD3+ and CD8+ T cells in the tumor are converted into percentile. The mean percentile of the densities are then calculated to generate ISB percentile value, where ISB low, intermediate and high subgroups are reflected by 0–25%, >25–70% and >70–100% percentile respectively. (B) The frequency of patients in each ISB groups, according to the Dworak classification in locally advanced rectal cancer patients. (C) Prediction of pathologic response (ypTNM 0–1) based on ISB mean score and the ycTNM classification ycTNM 0–I. (D) Percentage of recurrence-free in Watch and Wait patients after 5 years of treatment.

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