Correlation of Tumor Immune Response with Prognosis in Node-Negative Breast Cancer Patients from the DBCG HYPO Randomized Trial - Scorecard - MDSpire

Correlation of Tumor Immune Response with Prognosis in Node-Negative Breast Cancer Patients from the DBCG HYPO Randomized Trial

  • By

  • Demet Özcan

  • Patricia Switten Nielsen

  • Jan Alsner

  • Mette Holck Nielsen

  • Else Maae

  • Marie Louise Holm Milo

  • Jens Overgaard

  • Birgitte Vrou Offersen

  • Trine Tramm

  • March 13, 2026

  • 0 min

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Clinical Scorecard: Correlation of Tumor Immune Response with Prognosis in Node-Negative Breast Cancer Patients from the DBCG HYPO Randomized Trial

At a Glance

CategoryDetail
ConditionNode-Negative Breast Cancer
Key MechanismsTumor-infiltrating lymphocytes (TILs) and immune cell subsets as prognostic and predictive biomarkers.
Target PopulationNode-negative breast cancer patients treated with locoregional adjuvant radiotherapy.
Care SettingAdjuvant treatment following breast-conserving surgery.

Key Highlights

  • Hypofractionated radiotherapy regimens show equivalent efficacy and safety compared to standard regimens.
  • High levels of TILs are associated with improved prognosis in node-positive breast cancer.
  • The predictive value of TILs may differ based on nodal status and ER status.
  • Immune infiltration may predict differential benefit from different radiotherapy fractionation schedules.

Guideline-Based Recommendations

Diagnosis

  • Evaluate TILs and immune cell subsets in tumor tissue for prognostic information.

Management

  • Consider immune biomarkers in radiotherapy planning for node-negative breast cancer patients.

Monitoring & Follow-up

  • Monitor loco-regional and distant recurrence, as well as breast cancer-specific mortality.

Risks

  • Assess the risk of local control based on TIL levels and CD8+ T-cell counts.

Patient & Prescribing Data

Patients with T1a-T2, N0-1(mi) breast cancer.

Patients randomized to postoperative 50 Gy/25 fr versus 40 Gy/15 fr.

Clinical Best Practices

  • Utilize a 30% cut-off for categorizing TIL levels to ensure reliable interobserver agreement.
  • Incorporate multiplex immunohistochemistry for detailed immune profiling.

References

Original Source(s)

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