Immune-related adverse events predict the therapeutic efficacy of anti–PD-1 antibodies in cancer patients

2019 ◽  
Vol 109 ◽  
pp. 21-27 ◽  
Author(s):  
J. Rogado ◽  
J.M. Sánchez-Torres ◽  
N. Romero-Laorden ◽  
A.I. Ballesteros ◽  
V. Pacheco-Barcia ◽  
...  
Keyword(s):  
Adverse Events ◽  
Cancer Patients ◽  
Therapeutic Efficacy

scholarly journals Immune-related adverse events (irAEs) predict therapeutic efficacy of an anti-PD-1 antibody in cancer patients

2018 ◽  
Vol 29 ◽  
pp. viii435
Author(s):  
J. Rogado ◽  
N. Romero Laorden ◽  
J.M. Sanchez Torres ◽  
A.I. Ballesteros Garcia ◽  
V.E. Pacheco-Barcia ◽  
...  
Keyword(s):  
Adverse Events ◽  
Cancer Patients ◽  
Therapeutic Efficacy

Immune-related adverse events predict the therapeutic efficacy of pembrolizumab in urothelial cancer patients

2019 ◽  
Vol 116 ◽  
pp. 114-115 ◽  
Author(s):  
Taketo Kawai ◽  
Yusuke Sato ◽  
Katsuhiro Makino ◽  
Yuta Yamada ◽  
Akira Nomiya ◽  
...  
Keyword(s):  
Adverse Events ◽  
Cancer Patients ◽  
Therapeutic Efficacy ◽  
Urothelial Cancer

scholarly journals Olaparib dose re‐escalation in ovarian cancer patients who experienced severe and/or uncommon adverse events: A case series

2021 ◽  
Vol 17 (S3) ◽  
pp. 3-11
Author(s):  
Siew‐Fei Ngu ◽  
Ka‐Yu Tse ◽  
Mandy M. Y. Chu ◽  
Hextan Y. S. Ngan ◽  
Karen K. L. Chan
Keyword(s):  
Ovarian Cancer ◽  
Adverse Events ◽  
Cancer Patients ◽  
Case Series

scholarly journals Electronic patient-reported outcomes and machine learning in predicting immune-related adverse events of immune checkpoint inhibitor therapies

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Sanna Iivanainen ◽  
Jussi Ekstrom ◽  
Henri Virtanen ◽  
Vesa V. Kataja ◽  
Jussi P. Koivunen
Keyword(s):  
Machine Learning ◽  
Early Detection ◽  
Adverse Events ◽  
Cancer Patients ◽  
Immune Checkpoint ◽  
Patient Reported Outcomes ◽  
Prediction Models ◽  
Accuracy Score ◽  
Patient Reported ◽  
Auc Value

Abstract Background Immune-checkpoint inhibitors (ICIs) have introduced novel immune-related adverse events (irAEs), arising from various organ systems without strong timely dependency on therapy dosing. Early detection of irAEs could result in improved toxicity profile and quality of life. Symptom data collected by electronic (e) patient-reported outcomes (PRO) could be used as an input for machine learning (ML) based prediction models for the early detection of irAEs. Methods The utilized dataset consisted of two data sources. The first dataset consisted of 820 completed symptom questionnaires from 34 ICI treated advanced cancer patients, including 18 monitored symptoms collected using the Kaiku Health digital platform. The second dataset included prospectively collected irAE data, Common Terminology Criteria for Adverse Events (CTCAE) class, and the severity of 26 irAEs. The ML models were built using extreme gradient boosting algorithms. The first model was trained to detect the presence and the second the onset of irAEs. Results The model trained to predict the presence of irAEs had an excellent performance based on four metrics: accuracy score 0.97, Area Under the Curve (AUC) value 0.99, F1-score 0.94 and Matthew’s correlation coefficient (MCC) 0.92. The prediction of the irAE onset was more difficult with accuracy score 0.96, AUC value 0.93, F1-score 0.66 and MCC 0.64 but the model performance was still at a good level. Conclusion The current study suggests that ML based prediction models, using ePRO data as an input, can predict the presence and onset of irAEs with a high accuracy, indicating that ePRO follow-up with ML algorithms could facilitate the detection of irAEs in ICI-treated cancer patients. The results should be validated with a larger dataset. Trial registration Clinical Trials Register (NCT3928938), registration date the 26th of April, 2019

scholarly journals Questionnaire-based detection of immune-related adverse events in cancer patients treated with PD-1/PD-L1 immune checkpoint inhibitors

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Luisa Maria Griewing ◽  
Claudia Schweizer ◽  
Philipp Schubert ◽  
Sandra Rutzner ◽  
Markus Eckstein ◽  
...  
Keyword(s):  
Adverse Events ◽  
Cancer Patients ◽  
Weight Change ◽  
Immune Checkpoint ◽  
Detection Rate ◽  
Immune Checkpoint Inhibitors ◽  
Checkpoint Inhibitors ◽  
Patient Questionnaire ◽  
Organ Specific ◽  
Tumor Entities

Abstract Background Immune checkpoint inhibitors (ICI) have become standard treatment in different tumor entities. However, safe treatment with ICI targeting the PD-1/PD-L1 axis requires early detection of immune-related adverse events (irAE). There exist different questionnaires of drug manufacturers for the detection of irAE that have not been validated so far. Methods The prospective non-interventional ST-ICI trial studied treatment with PD-1/PD-L1 ICI alone or combined with radiotherapy. In the current analysis, the detection rate of self-reported irAE with a patient questionnaire containing 41 different questions was compared to clinician-reported irAE. Results Between April 2017 and August 2019, a total of 104 patients were prospectively enrolled. NSCLC (44%) and HNSCC (42%) were the most frequent tumor entities. A total of 784 questionnaires were collected. A total of 29 irAE were reported by clinicians. The most frequent irAE was hypothyroidism (9%), followed by skin reactions (5%), hepatitis (4%), diarrhea (3%), and pneumonitis (3%). Questions that became significantly more often positive at time points of clinician-reported irAE were “weight change”, “difficulty to grip things”, “bloody or mucous stool” and “insomnia”. Self-reported organ-specific questions detected at least 50% of clinician-reported irAE of gastrointestinal, lung, endocrine, and skin irAE. It was not possible to detect hepatic irAE with the questionnaire. Conclusion Questionnaires can help to detect gastrointestinal, lung, endocrine, or skin irAE, but not hepatic irAE. Questions on “weight change” and “insomnia” may help to increase the detection rate of irAE, besides organ-specific questions. These results are a valuable contribution to the future development of a specific and practicable questionnaire for early self-reported detection of irAE during ICI therapy in cancer patients. Trial registration ClinicalTrials.gov, NCT03453892. Registered on 05 March 2018.

scholarly journals The association between immune-related adverse events and the prognosis of solid cancer patients treated with immunotherapy: a systematic review and meta-analysis

2020 ◽  
Vol 12 ◽  
pp. 175883592098054
Author(s):  
Huilin Xu ◽  
Ximing Xu ◽  
Wei Ge ◽  
Jinju Lei ◽  
Dedong Cao
Keyword(s):  
Adverse Events ◽  
Cancer Patients ◽  
Meta Analysis ◽  
Progression Free Survival ◽  
Cochrane Library ◽  
Good Survival ◽  
Solid Cancer ◽  
Cancer Type ◽  
Early Effect ◽  
Overall Response

Background: Immune-related adverse events (irAEs) are common during immune checkpoint inhibitor (ICI) treatment and reported to be associated with good survival. This study evaluated the association between onset timing of irAEs and survival of cancer patients treated with ICIs. Methods: Databases including PubMed, Embase, and the Cochrane library were systematically searched to retrieve clinical studies assessing the relationship between irAEs and survival in cancer patients with ICIs. The overall response rate for treatment response and hazard ratio (HR) for overall survival (OS) and progression-free survival (PFS) were calculated using RevMan 5.3. Subgroup analysis in terms of cancer type, ICIs type, region, specific irAEs, accordingly. Results: A total of 34 studies were included. The HRs for OS and PFS in cancer patients with versus without irAEs were 0.57 [95% confidence interval (CI): 0.44, 0.74; p < 0.0001], and 0.50 (95% CI: 0.37, 0.67; p < 0.00001), respectively. The odds ratio for overall response in cancer patients with irAEs was 4.72 (95% CI: 3.48, 6.40; p < 0.00001) compared with those without irAEs. Subgroup analyses suggested that the prognostic role of irAEs was associated with cancer types and region, but not irAEs types. The landmark analysis of OS revealed that there is a non-proportional (early) effect of irAEs on OS in ICI-treated cancer patients (landmark >12 weeks, HROS = 1.08; 95% CI: 0.89, 1.30; p = 0.46). Conclusion: Our findings suggest that the occurrence of irAEs could be a prognostic factor for cancer patients who were treated with ICIs.

scholarly journals Linguistic validation of the simplified Chinese version of the US National Cancer Institute’s patient-reported outcomes version of the common terminology criteria for adverse events (PRO-CTCAE™)

BMC Cancer ◽  
2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Cheng KKF ◽  
S. A. Mitchell ◽  
N. Chan ◽  
E. Ang ◽  
W. Tam ◽  
...  
Keyword(s):  
Adverse Events ◽  
Cancer Patients ◽  
Patient Reported Outcomes ◽  
A Priori ◽  
Cognitive Interviews ◽  
Simplified Chinese ◽  
Patient Reported ◽  
The Us ◽  
The Common ◽  
Response Choices

Abstract Background The aim of this study was to translate and linguistically validate the U.S. National Cancer Institute’s Patient-Reported Outcomes version of the Common Terminology Criteria for Adverse Events (PRO-CTCAE™) into Simplified Chinese for use in Singapore. Methods All 124 items of the English source PRO-CTCAE item library were translated into Simplified Chinese using internationally established translation procedures. Two rounds of cognitive interviews were conducted with 96 cancer patients undergoing adjuvant treatment to determine if the translations adequately captured the PRO-CTCAE source concepts, and to evaluate comprehension, clarity and ease of judgement. Interview probes addressed the 78 PRO-CTCAE symptom terms (e.g. fatigue), as well as the attributes (e.g. severity), response choices, and phrasing of ‘at its worst’. Items that met the a priori threshold of ≥20% of participants with comprehension difficulties were considered for rephrasing and retesting. Items where < 20% of the sample experienced comprehension difficulties were also considered for rephrasing if better phrasing options were available. Results A majority of PRO-CTCAE-Simplified Chinese items were well comprehended by participants in Round 1. One item posed difficulties in ≥20% and was revised. Two items presented difficulties in < 20% but were revised as there were preferred alternative phrasings. Twenty-four items presented difficulties in < 10% of respondents. Of these, eleven items were revised to an alternative preferred phrasing, four items were revised to include synonyms. Revised items were tested in Round 2 and demonstrated satisfactory comprehension. Conclusions PRO-CTCAE-Simplified Chinese has been successfully developed and linguistically validated in a sample of cancer patients residing in Singapore.

scholarly journals Acute primary testicular failure due to radiotherapy increases risk of severe postoperative adverse events in rectal cancer patients

2020 ◽  
Vol 46 (1) ◽  
pp. 98-104
Author(s):  
John Tapper ◽  
Stefan Arver ◽  
Torbjörn Holm ◽  
Matteo Bottai ◽  
Mikael Machado ◽  
...  
Keyword(s):  
Rectal Cancer ◽  
Adverse Events ◽  
Cancer Patients ◽  
Testicular Failure
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