Training and validation of a model predicting clusters of long-term cancer-related behavioral symptoms (CRBS) after breast cancer (BC).

Authors

null

Martina Pagliuca

INSERM Unit 981, Gustave Roussy, Villejuif, France

Martina Pagliuca , Julie Havas , Florence Lerebours , Olivier Rigal , Thierry Petit , Sylvie Giacchetti , Florence Dalenc , Johanna Wassermann , Olivier Arsene , Anne-Laure Martin , Sibille Everhard , Ines Maria Vaz Duarte Luis , Antonio Di Meglio

Organizations

INSERM Unit 981, Gustave Roussy, Villejuif, France, Breast Cancer Survivorship Group, INSERM Unit 981, Gustave Roussy, Villejuif, France, Institut Curie, Paris, France, Centre Henri Becquerel, Rouen, France, Institut of Cancer Strasbourg (ICANS), Strasbourg, France, APHP University Hopital Saint Louis, Senopole, Paris, France, Institut Claudius Regaud, Institut Universitaire du Cancer – Oncopole, Toulouse, France, Hôpital Pitié-Salpêtrière, Paris, France, Centre Hospitalier, Blois, France, Unicancer, Paris, France, Gustave Roussy, Villejuif, France, Cancer Survivorship Group, INSERM Unit 981, Gustave Roussy, Villejuif, France

Research Funding

Other
National Research Agency (ANR), Grant No. ANR-10-COHO-0004, Conquer Cancer Foundation of the American Society of Clinical Oncology, Rising Tide Foundation for Clinical Cancer Research

Background: Fatigue, cognitive impairment, emotional distress, and sleep disturbance are prevalent and challenging symptoms among patients (pts) with BC. These symptoms often tend to cluster, they are usually responsive to similar behavioral interventions (e.g., exercise, psychosocial), and can be collectively defined as CRBS. We aimed to generate a model to predict clusters of long-term CRBS. Methods: CANcer TOxicity (CANTO; NCT01993498) is a prospective cohort of pts with stage I-III BC collecting longitudinal data at diagnosis (dx) and yearly post-dx. Our outcome was the proportion of pts reporting a cluster of ≥3 severe CRBS (EORTC QLQ-C30/HADS) 4 years post-dx. Clinical, behavioral, treatment (tx)-related predictors, and the baseline Behavioral Symptoms Score (BSS; based on the number of severe CRBS as proxy of symptom burden at dx) were tested in a training cohort (Mar 2012 - Feb 2015) with a multivariable logistic regression model implementing bootstrapped Augmented Backwards Elimination and 10-fold internal cross-validation. Performance was externally validated in pts from a subsequent enrolment period (Mar 2015 - Apr 2018). Results: In the training cohort (N=3555), 92.1% of pts had stage I-II BC, 52.6% received chemo, and 81.9% endocrine tx. At dx, 22.0% pts had severe fatigue (C30≥40/100), 29.7% severe cognitive impairment (C30<75/100), 33.9% and 6.5% clinically suggestive anxiety and depression (HADS≥11/21), respectively, and 35.2% severe insomnia (C30>50/100). 19.0% of pts reported a severe CRBS cluster at dx, then 21.0% did so 4 years post-dx. Younger age, previous psychiatric disorders, and higher baseline BSS were predictors of CRBS clusters (Table;AUC 0.73 [95%CI 0.71-0.75]). Results were confirmed in the validation cohort (N=1533). Conclusions: 1 in 5 pts reports a cluster of severe CRBS 4 years post-dx of BC. Younger pts with previous psychiatric disturbance and a higher symptom burden at dx have greater risk of long-term CRBS. Systematic clinical implementation of predictive tools at dx of BC can aid a more thorough screening and referrals to targeted behavioral interventions. Clinical trial information: NCT01993498.

Adjusted* predictive model of CRBS clusters 4 years post-dx.
PredictorPrevalence at dx (%)Odds Ratio (95% CI)
Age
Mean (SD)

56.4 (10.9)
for 5-years decrease
1.06 (1.02-1.11)
Previous psychiatric disorders
No
Yes

84.4
15.6**

Ref
1.27 (1.01-1.60)
Baseline BSS
0
1
2
3
4
5

39.6
23.5
17.8
10.7
6.3
2.1

Ref
2.17 (1.66-2.85)
3.96 (3.04-5.18)
5.96 (4.44-8.02)
10.11 (7.19-14.26)
12.30 (7.33-20.87)

*by all predictors + BMI, comorbidities, neurological disorders, socioeconomic, alcohol, tobacco, exercise, local and systemic tx.

**56.6% depression, 21.1% anxiety, 11.2% anxiety-depressive syndrome, 5.4% sleep problems, 1.5% manic-depressive disorder, 1.1% eating disorders, 0.8% drug or alcohol addiction, 0.7% burn-out, 0.6% self-harm, 0.4% post-traumatic stress disorder.

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Abstract Details

Meeting

2023 ASCO Annual Meeting

Session Type

Poster Session

Session Title

Symptoms and Survivorship

Track

Symptom Science and Palliative Care

Sub Track

Late and Long-Term Adverse Effects

Clinical Trial Registration Number

NCT01993498

Citation

J Clin Oncol 41, 2023 (suppl 16; abstr 12087)

DOI

10.1200/JCO.2023.41.16_suppl.12087

Abstract #

12087

Poster Bd #

455

Abstract Disclosures