A PHP Error was encountered

Severity: Warning

Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests

Filename: helpers/my_audit_helper.php

Line Number: 176

Backtrace:

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1034
Function: getPubMedXML

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016

File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global

File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword

File: /var/www/html/index.php
Line: 316
Function: require_once

Referral patterns and genetic testing outcomes in a contemporary hereditary renal cancer clinic. | LitMetric

Objectives: Multidisciplinary hereditary tumor clinics are a collaborative format to identify and treat patients with genetic cancer predispositions. The hereditary renal cancer clinic at Indiana University is comprised of a urologic oncologist, medical oncologist, clinical geneticist, and genetic counselor. The clinic holds regular tumor board meetings, where patient histories, pedigrees, imaging, pathology, and management plans are collectively reviewed and discussed. Here we report the contemporary experience for our hereditary renal cancer clinic, with description and analysis of referral patterns, patient profiles, and genetic testing outcomes.

Materials And Methods: A retrospective review of an IRB-approved, prospectively maintained database of patients seen in the hereditary renal cancer clinic was performed. Patient characteristics, genetic testing results, and disease characteristics were reported and analyzed.

Results: A total of 142 patients seen in clinics from January 2018 to June 2023 were included. Patient's median age was between 40 and 49 years old, and 88.7% were Caucasian. The most common reasons for referral were early-onset renal tumors (40%), known hereditary renal cancer syndrome (29%), and hereditary renal cancer syndrome screening (13%). Of those with a tissue diagnosis of renal cell carcinoma, 46.2% were clear cell subtype. The presence of nonrenal syndromic features concerning for hereditary renal tumor syndrome was predictive of pathogenic mutation identification (OR 13.45, P < 0.0001). Patient race and presence of multifocal tumors were not predictive of pathogenic mutation identification. When restricting analysis to patients with an established renal malignancy, high-grade tumor histology was predictive of a pathogenic mutation (OR 8.17, P = 0.012), though higher pathologic stage and nonclear cell histology were not. Referral for early-onset renal tumor (age < 45 years) predicted lower likelihood of pathogenic mutations (OR 0.10, P = 0.0002). FH gene mutations were the most commonly identified pathogenic mutations. Genetic testing of family members (cascade testing) was recommended to 9 patients seen in clinic; a pathogenic mutation was subsequently identified in all but one of these families.

Conclusions: These findings are useful for referring physicians and patients in determining patient referral to hereditary cancer clinics, and for counseling patients undergoing genetic testing. Data from non-Caucasian patients and evolving implications of variants of unclear significance (VUS) may represent future research directions for hereditary renal cancer clinics.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.urolonc.2023.12.010DOI Listing

Publication Analysis

Top Keywords

hereditary renal
32
renal cancer
28
genetic testing
20
cancer clinic
16
pathogenic mutation
16
renal
12
predictive pathogenic
12
hereditary
10
cancer
9
referral patterns
8

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!