| Literature DB >> 36132150 |
Ana Carolina Rathsam Leite1, Daniele Assad Suzuki1, Allan Anderson Lima Pereira1, Natalia Polidorio Machado1, Romualdo Barroso-Sousa1, Tatiana Strava Correa1, Fernanda Cesar Moura1, Igor Alexandre Protzner Morbeck1, Brenda Pires Gumz1, Luiza Dib Batista Bugiato Faria1, Gustavo Dos Santos Fernandes1, Renata Lazari Sandoval1.
Abstract
Background: Identifying individuals at a higher risk of developing cancer is a major concern for healthcare providers. Cancer predisposition syndromes are the underlying cause of cancer aggregation and young-onset tumors in many families. Germline genetic testing is underused due to lack of access, but Brazilian germline data associated with cancer predisposition syndromes are needed.Entities:
Keywords: cancer predisposition; cancer risk assessment; genetic testing access; hereditary cancer; multigene analyses
Year: 2022 PMID: 36132150 PMCID: PMC9484549 DOI: 10.3389/fonc.2022.963910
Source DB: PubMed Journal: Front Oncol ISSN: 2234-943X Impact factor: 5.738
Figure 1Genetic tests performed. (A) Type of genetic test performed. (B) Number of genes in the multigene panel. Abbreviations: MP, multigene panel; WES, whole-exome sequencing.
Clinical profile of the patients who underwent germline testing for CPSs.
| Positive result N (%) | Negative/VUS resultN (%) | p value | |
|---|---|---|---|
|
| 138 (58.5) | 472 (73.4) | <0.001 |
| No | 98 (41.5) | 171 (26.6) | |
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| 1 (0.7) | 7 (1.5) | 0.456 |
| 19- 35 yrs | 26 (19.0) | 79 (16.8) | |
| 36- 45 yrs | 42 (30.7) | 137 (29.1) | |
| 46- 49 yrs | 12 (8.8) | 68 (14.4) | |
| > 50 yrs | 56 (40.9) | 180 (38.2) | |
| Total | 137 | 471 | |
|
| 98 (41.5) | 171 (26.6) | 0.039 |
| 1 | 106 (45) | 397 (61.7) | |
| 2 | 25 (10.6) | 64 (10) | |
| 3 | 4 (1.7) | 11 (1.7) | |
| 4 | 2 (0.8) | 0 | |
| 5 | 1 (0.4) | 0 | |
| Total | 236 | 643 | |
|
| 224 (94.9) | 595 (92.5) | 0.349 |
| Negative | 7 (3) | 34 (5.3) | |
| Unknown | 5 (2.1) | 14 (2.2) | |
| Total | 236 | 643 | |
|
| 165 (69.9) | 367 (57.1) | 0.001 |
| No | 66 (28) | 261 (40.6) | |
| Unknown | 5 (2.1) | 15 (2.3) | |
| Total | 236 | 643 | |
|
| 217 (91.9) | 530 (82.4) | <0.001 |
| No | 19 (8.1) | 113 (17.6) | |
| Total | 236 | 643 | |
|
| 170 (72) | 380 (59.1) | <0.001 |
| No | 66 (28) | 263 (40.9) | |
| Total | 236 | 643 |
VUS, variant of uncertain clinical significance; yrs, years; ANS, Brazilian National Agency of Supplementary Health.
Distribution of tumors according to germline P/LPVs identification.
| Gene (No of patients harboring germline P/LPVs) | ||||||||||||||||||||||||||||||||||||
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| Number of tumors | P/LPVs (%) |
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| No of tumors according to germline P/LPVs | ||||||||||||||||||||||||||||||||||||
| Breast | 407 | 23.3% | 3 | 1 | 4 | 2 | 18 | 21 | 1 | 12 | 1 | 1 | 7 | 2 | 4 | 1 | 2 | 1 | 1 | 12 | 1 | |||||||||||||||
| Colorectal | 60 | 26.7% | 1 | 1 | 3 | 3 | 5 | 1 | 1 | 1 | ||||||||||||||||||||||||||
| Ovarian | 48 | 33.3% | 5 | 3 | 1 | 1 | 2 | 1 | 2 | 1 | ||||||||||||||||||||||||||
| Thyroid | 29 | 20.7% | 1 | 3 | 1 | 1 | ||||||||||||||||||||||||||||||
| Sarcoma | 24 | 29.2% | 1 | 1 | 5 | |||||||||||||||||||||||||||||||
| Renal | 17 | 17.6% | 1 | 1 | 1 | |||||||||||||||||||||||||||||||
| Prostate | 18 | 33.3% | 1 | 2 | 1 | 1 | 1 | |||||||||||||||||||||||||||||
| Pancreatic | 20 | 20.0% | 1 | 1 | 1 | 1 | ||||||||||||||||||||||||||||||
| Endometrial | 16 | 43.8% | 1 | 2 | 2 | 1 | 1 | |||||||||||||||||||||||||||||
| NET | 13 | 15.4% | 2 | |||||||||||||||||||||||||||||||||
| Melanoma | 14 | 21.4% | 1 | 1 | 1 | |||||||||||||||||||||||||||||||
| Gastric | 12 | 8.3% | 1 | |||||||||||||||||||||||||||||||||
| Other cancers* | 61 | 32.8% | 1 | 1 | 1 | 1 | 5 | 1 | 1 | 1 | 1 | 1 | 6 | |||||||||||||||||||||||
| No cancer | - | - | 4 | 1 | 3 | 1 | 1 | 9 | 20 | 8 | 1 | 2 | 3 | 10 | 5 | 2 | 1 | 1 | 5 | 2 | 3 | 15 | 1 | |||||||||||||
P/LP, pathogenic/likely pathogenic; VUS, variant of uncertain significance; NET, neuroendocrine tumor. *Other cancers included testicular, lymphoma, leukemia, schwannoma, urothelial, bladder, adrenocortical, head and neck, skin (non-melanoma), soft tissue, lung, central nervous system, uterus, parotid, hepatocarcinoma, pheochromocytoma, appendix,gallbladder, and multiple myeloma.Adapted from Samadder et al. (9).Color shading is related to the frequency of each alteration, darker shades represent higher frequencies.