Clinical Manifestations of Hereditary Leiomyomatosis and Renal Cell Carcinoma: a Case Report
Bibliographic record
Abstract
Introduction: Hereditary leiomyomatosis and renal cell carcinoma (HLRCC) is a rare genetic disorder etiologically stemming from mutations in the FH gene. This disorder has been reported in 300 families worldwide. We were presented with the following case as part of the Rare Disease Interdepartmental Science Case Competition (RISCC) in order to successfully diagnose the patient and examine the pathophysiology, socioeconomics, and treatment strategy of this disorder.Case Presentation: A 27-year-old woman presented to the emergency room with a two-week history of hematuria. Her medical history included a single benign skin lesion. She did not report a family history of cancer but stated that her mother underwent a hysterectomy for unknown reasons.Clinical Investigations: An abdominal ultrasound revealed an isoechoic nodular formation on the right kidney, and CT scans confirmed the presence of a 7-cm renal tumour and extensive leiomyomas in the patient’s uterus. Genetic testing revealed a mutation in the fumarate hydratase (FH) gene, leading to the diagnosis of hereditary leiomyomatosis and renal cell carcinoma.Pathophysiology: HLRCC is a condition caused by an autosomal dominant germline mutation in the FH gene, characterized by skin lesions, uterine leiomyomas, and aggressive renal cell carcinoma. FH acts as a tumour suppressor gene and encodes the fumarase protein. HLRCC arises from a variety of missense mutations in the FH gene that prevent the formation of a full fumarase tetramer. The disease is likely related to the dosage of the gene, rather than the site of mutation. Consequently, there is no known genotype/phenotype correlation. Fumarate inhibits HIF-α hydroxylases, so loss of the FH gene causes fumarate accumulation within cells and prevents the degradation of HIF-α. This induces a state of pseudohypoxia and leads to upregulation of genes involved in cell growth and tumorigenesis. Fumarate accumulation also modulates the Keap1-Nrf2 pathway by inducing activation of Nrf2 and allows for the protection of cancer cells from oxidative and electrophilic stressors. Furthermore, deficiency of fumarase prevents oxidative phosphorylation, thus promoting aerobic glycolysis, the most common method of metabolism used by cancer cells.Socioeconomics: The risk of infertility and developing an aggressive cancer makes it essential to have frequent and thorough screening procedures early in life for children with a family history of HLRCC. Medical costs, infertility risk, and frequent hospital visits breed anxiety and stress for patients and family members. Fortunately, organizations like HLRCC Family Alliance exist to provide accessible information and represent a welcoming support community.Treatment Strategy: To treat the patient’s renal tumour, we suggest a radical nephrectomy with wide margins due to the aggressive nature of renal cell carcinoma. Additional imaging should be performed to identify and excise any metastatic tumours. The patient should also consult a gynecologist regarding her extensive uterine leiomyomas and will likely undergo a hysterectomy or myomectomy. A full dermatological exam should be performed to locate additional cutaneous leiomyomas. We also strongly suggest that family members undergo genetic testing. Lastly, we recommend the patient connect with support groups such as HLRCC Family Alliance to receive continued social support following her diagnosis and throughout her life.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".