Psychosocial impact of prognostic genetic testing in the care of uveal melanoma patients: protocol of a controlled prospective clinical observational study

Anxiety, depression and fear of cancer recurrence in uveal melanoma survivors and ophthalmologist/oncologist communication during survivorship in France - protocol of a prospective observational mixed-method study

BACKGROUND

Quality of life (QoL) in patients undergoing surveillance for uveal melanoma (UM) can be affected by psychological sequelae. Fear of cancer recurrence (FCR) may be acute especially when prognostication indicates an increased risk of metastatic recurrence. Communication with an ophthalmologist or oncologist can then play a key role in impacting QoL.

METHODS

In this prospective study co-designed with patient's partners and using a mixed-method approach, 250 patients at high versus low risk of metastatic recurrence are recruited in a national UM reference centre in France. At T1, after the 6-months post-treatment surveillance visit, dyads of clinicians and eligible patients complete a questionnaire to assess their respective experience of the communication during that consultation. Patients also complete questionnaires assessing their health literacy, information preference, and satisfaction with the information received (EORTC QLQ-INFO25), genomic testing knowledge, genomic test result receipt, satisfaction with medical care (EORTC PATSAT-C33), perceived recurrence risk, anxiety and depression (HADS), fear of cancer recurrence (FCRI) and quality of life (EORTC QLQ-C30 and QLQ-OPT30). At 12-months post-treatment (T2), patients complete again the HADS, FCRI, EORTC QLQ-C30 and QLQ-OPT30. Multilevel analyses will assess the effect of satisfaction with the information received on FCR and QoL accounting for the clinicians' and patients' characteristics. In-depth interviews planned sequentially with ≈25 patients will deepen understanding of patients' care experience.

DISCUSSION

As information on prognosis based on medical parameters becomes widely integrated into oncology practice, this study will highlight UM survivors' information expectations and satisfaction with communication, and its effect on FCR and QoL. Culturally adapted recommendations for doctor-patient communication will be provided for contexts of oncology surveillance involving poor prognosis in cases of recurrence.

TRIAL REGISTRATION

NCT06073548 (October 4, 2023).

[The "oncological trace": circulating tumor DNA in uveal melanomas]

BACKGROUND

Cell-free DNA (cfDNA) and the tumor DNA it contains can be detected in various body fluids and can be obtained in a minimally invasive manner using a liquid biopsy. The fragmented cell-free tumor DNA (ctDNA) serves as a marker for the presence of tumor cells in the body and its analysis enables genetic tumor characteristics to be determined. For some nonocular tumors ctDNA is already approved as a predictive or prognostic marker.

METHODS

This literature review article describes examples of the use of ctDNA as a biomarker in nonocular tumors and the current status of ctDNA analysis in cases of uveal melanomas. For this purpose, a selective literature search was carried out via PubMed.

RESULTS

Uveal melanomas are nowadays usually treated by eye-preserving therapy. In these cases, there is usually no tumor tissue available for further diagnostic testing. Alternatively, molecular characteristics of the tumor can be determined by the genetic analysis of ctDNA. In uveal melanomas the presence of ctDNA in the plasma at the time of the primary diagnosis is controversial; however, an increase in the amount of ctDNA, which can be used to investigate diagnostically and prognostically relevant genetic changes, was detected during irradiation therapy of the primary tumor in some patients. In the later course of the disease, the amount of ctDNA in the plasma is a suitable marker for metastatic progression. In some cases, an increase in ctDNA levels could be recognized several months before the clinical detection of metastases.

CONCLUSION

The analysis of cfDNA in patients with a uveal melanoma is a promising and minimally invasive method for obtaining information about the tumor or the course of the disease. It is currently being investigated which patients could benefit from it in the future. Several issues related to standardization and technical validation must be addressed for its routine clinical application.

Uveal melanoma patient attitudes towards prognostic testing using gene expression profiling

Aim:

This study explored uveal melanoma patient experiences and regret following molecular prognostic testing using a 15-gene expression profile (GEP) test.

Materials & methods:

A retrospective, cross-sectional survey study was conducted through an online questionnaire capturing patient-reported experiences with prognostic biopsy/molecular testing.

Results:

Of 177 respondents, 159 (90%) wanted prognostic information at diagnosis. Most 15-GEP-tested patients who shared their results (99%) reported gaining value from testing, as did patients tested with other methods. Patients who received prognostic testing experienced lower decision regret than those who opted out. Decision regret did not differ based on GEP class.

Conclusion:

Most uveal melanoma patients desire prognostic testing and gain value from the GEP, independent of a high- or low-risk result.

Uveal melanoma is a rare but aggressive eye cancer, resulting in distant metastasis in nearly 50% of patients. Molecular prognostic testing is often employed to determine who is at high or low risk of developing metastatic disease. A prognostic 15-gene expression profiling (GEP) test is commonly used throughout the USA and parts of Canada. The goal of this survey was to assess patient experiences with the 15-GEP and other prognostic methods. Of the 177 patients who participated in the survey, the majority reported that they wanted prognostic information at the time of diagnosis. Of patients who underwent 15-GEP testing, nearly all reported gaining value from their test result, regardless of their individual risk profile. This study supports prior findings using other prognostic methods that patients prefer information about their risk of metastasis and reinforces the importance of discussing prognostic testing options with newly diagnosed uveal melanoma patients.

Prognosis Prediction of Uveal Melanoma After Plaque Brachytherapy Based on Ultrasound With Machine Learning

INTRODUCTION

Uveal melanoma (UM) is the most common intraocular malignancy in adults. Plaque brachytherapy remains the dominant eyeball-conserving therapy for UM. Tumor regression in UM after plaque brachytherapy has been reported as a valuable prognostic factor. The present study aimed to develop an accurate machine-learning model to predict the 4-year risk of metastasis and death in UM based on ocular ultrasound data.

MATERIAL AND METHODS

A total of 454 patients with UM were enrolled in this retrospective, single-center study. All patients were followed up for at least 4 years after plaque brachytherapy and underwent ophthalmologic evaluations before the therapy. B-scan ultrasonography was used to measure the basal diameters and thickness of tumors preoperatively and postoperatively. Random Forest (RF) algorithm was used to construct two prediction models: whether a patient will survive for more than 4 years and whether the tumor will develop metastasis within 4 years after treatment.

RESULTS

Our predictive model achieved an area under the receiver operating characteristic curve (AUC) of 0.708 for predicting death using only a one-time follow-up record. Including the data from two additional follow-ups increased the AUC of the model to 0.883. We attained AUCs of 0.730 and 0.846 with data from one and three-time follow-up, respectively, for predicting metastasis. The model found that the amount of postoperative follow-up data significantly improved death and metastasis prediction accuracy. Furthermore, we divided tumor treatment response into four patterns. The D(decrease)/S(stable) patterns are associated with a significantly better prognosis than the I(increase)/O(other) patterns.

CONCLUSIONS

The present study developed an RF model to predict the risk of metastasis and death from UM within 4 years based on ultrasound follow-up records following plaque brachytherapy. We intend to further validate our model in prospective datasets, enabling us to implement timely and efficient treatments.

Update on uveal melanoma: Translational research from biology to clinical practice (Review)

Uveal melanoma is the most common type of intraocular cancer with a low mean annual incidence of 5‑10 cases per million. Tumours are located in the choroid (90%), ciliary body (6%) or iris (4%) and of 85% are primary tumours. As in cutaneous melanoma, tumours arise in melanocytes; however, the characteristics of uveal melanoma differ, accounting for 3‑5% of melanocytic cancers. Among the numerous risk factors are age, sex, genetic and phenotypic predisposition, the work environment and dermatological conditions. Management is usually multidisciplinary, including several specialists such as ophthalmologists, oncologists and maxillofacial surgeons, who participate in the diagnosis, treatment and complex follow‑up of these patients, without excluding the management of the immense emotional burden. Clinically, uveal melanoma generates symptoms that depend as much on the affected ocular globe site as on the tumour size. The anatomopathological study of uveal melanoma has recently benefited from developments in molecular biology. In effect, disease classification or staging according to molecular profile is proving useful for the assessment of this type of tumour. Further, the improved knowledge of tumour biology is giving rise to a more targeted approach to diagnosis, prognosis and treatment development; for example, epigenetics driven by microRNAs as a target for disease control. In the present study, the main epidemiological, clinical, physiopathological and molecular features of this disease are reviewed, and the associations among all these factors are discussed.

PRiMeUM: A Model for Predicting Risk of Metastasis in Uveal Melanoma

Purpose

To create an interactive web-based tool for the Prediction of Risk of Metastasis in Uveal Melanoma (PRiMeUM) that can provide a personalized risk estimate of developing metastases within 48 months of primary uveal melanoma (UM) treatment. The model utilizes routinely collected clinical and tumor characteristics on 1227 UM, with the option of including chromosome information when available.

Methods

Using a cohort of 1227 UM cases, Cox proportional hazard modeling was used to assess significant predictors of metastasis including clinical and chromosomal characteristics. A multivariate model to predict risk of metastasis was evaluated using machine learning methods including logistic regression, decision trees, survival random forest, and survival-based regression models. Based on cross-validation results, a logistic regression classifier was developed to compute an individualized risk of metastasis based on clinical and chromosomal information.

Results

The PRiMeUM model provides prognostic information for personalized risk of metastasis in UM. The accuracy of the risk prediction ranged between 80% (using chromosomal features only), 83% using clinical features only (age, sex, tumor location, and size), and 85% (clinical and chromosomal information). Kaplan-Meier analysis showed these risk scores to be highly predictive of metastasis (P < 0.0001).

Conclusions

PRiMeUM provides a tool for predicting an individual's personal risk of metastasis based on their individual and tumor characteristics. It will aid physicians with decisions concerning frequency of systemic surveillance and can be used as a criterion for entering clinical trials for adjuvant therapies.