| Literature DB >> 31484545 |
Chuangzhou Rao1, Liangqin Nie2, Xiaobo Miao2, Analyn Lizaso3, Guofang Zhao4.
Abstract
BACKGROUND: The accurate identification of the tissue of origin is critical for optimal management of cancer patients particularly those who develop multiple malignancies; however, conventional diagnostic methods at times may fail to provide conclusive diagnosis of the origin of the malignancy. Herein, we describe the use of targeted sequencing in distinguishing the primary and metastatic tumors in a patient with metachronous malignancies in the lung, colon and kidney. CASEEntities:
Keywords: Multiple primary tumors; Mutational profiling; Tissue of origin
Mesh:
Substances:
Year: 2019 PMID: 31484545 PMCID: PMC6727526 DOI: 10.1186/s13000-019-0874-5
Source DB: PubMed Journal: Diagn Pathol ISSN: 1746-1596 Impact factor: 2.644
Fig. 1a Thoracic CT scan illustrating the tumor on the left lower lung and successful treatment with lobectomy and 4 cycles of platinum-based chemotherapy. b Ultrasonography and CT urography scans illustrating the detection of kidney tumor on January 2018. c PET/CT scans illustrating the increased FDG metabolism on the right kidney and colon, and the absence of disease recurrence or relapse in the lung
Immunohistochemistry results for the lung and kidney tumors
| Antibodies used for IHC | Lung | Kidney |
|---|---|---|
| Cytokeratin 5/6 (CK-5/6) | + | +++ |
| Cytokeratin 7 (CK-7) | ++ | – |
| Thyroid transcription factor − 1 (TTF-1) | +++ | – |
| Cytokeratin 20 (CK-20) | – | – |
| CDX-2 | NA | – |
| NapsinA | +++ | – |
| Ki-67 | 20% | 60% |
| P40 | + | NA |
| P63 | NA | +++ |
| PAX-8 | NA | – |
| Vimentin | – | NA |
| CD56 | – | NA |
| S-100 | NA | – |
Note: +, positive immunoreactivity; −, negative result; NA, not applicable/tested
Gene mutations detected in the lung, kidney and colon tumor samples
| Lung | Kidney | Colon | White blood cell | |
|---|---|---|---|---|
| Tumor Mutation Burden (mutations/Mb) | 15.1 | 14.3 | 7.9 | – |
| Gene mutations detected | Allele frequency | |||
| FANCC c.339G > A (p.W113X) | 36.45% | 39.67% | 46.57% | detected |
| KMT2C c.962G > A (p.S321 N) | 11.81% | 14.62% | 17.45% | – |
| TP53 c.614A > G (p.Y205C) | 31.74% | 24.91% | – | – |
| CDKN2A c.151-1G > T | 24.40% | 15.54% | – | – |
| LRP1B c.55A > G (p.R19G) | 49.76% | 46.88% | – | – |
| LRP1B c.4258G > C (p.D1420H) | 17.64% | 15.00% | – | – |
| SMARCA4 c.2946G > T (p.K982 N) | 30.56% | 26.12% | – | – |
| SMARCA4 c.3529G > T (p.D1177Y) | 26.92% | 27.18% | – | – |
| SLX4 c.4976C > T (p.P1659L) | 22.82% | 6.83% | – | – |
| PTPRD c.2350-9 T > A | 22.21% | 18.26% | – | – |
| PTPRD c.4944 T > A (p.F1648 L) | 9.66% | – | – | – |
| MED12 c.3089C > T (p.A1030V) | 13.64% | – | – | – |
| PREX2 c.1188C > G (p.I396M) | 12.02% | – | – | – |
| FAT3 c.8425G > T (p.D2809Y) | 7.25% | – | – | – |
| ERBB2 amplification | CN = 3.38 | – | – | – |
| STAT3 amplification | CN = 3.66 | – | – | – |
| RAC1 amplification | – | CN = 3.07 | – | – |
| ATM c.1562G > C (p.R521T) | – | 8.04% | – | – |
| SDHA c.940G > A (p.E314K) | – | 13.71% | – | – |
| ATR c.7del (p.Q3fs) | – | 8.88% | – | – |
| RANBP2 c.5632 T > G (p.S1878A) | – | 4.47% | – | – |
| TP53 c.818G > A (p.R273H) | – | – | 16.77% | – |
| PTPRT c.230 T > C (p.V77A) | – | – | 29.21% | – |
| TCF7L2 c.1408G > T (p.V470F) | – | – | 15.71% | – |
| APC c.4216C > T (p.Q1406X) | – | – | 14.99% | – |
| DICER1 c.2077G > A (p.V693I) | – | – | 14.86% | – |
Fig. 2Mutations detected among the lung, kidney and colon tumors. a Venn diagram illustrating the number of shared and specific mutations among the tumors. b Cladogram illustrating the mutations shared and distinct to each of the tumors. Shading in pink denotes mutations shared among the three tumor samples; Green for mutations shared between the lung and kidney samples; Blue for lung-specific mutations; Orange for kidney-specific mutations and Purple denotes colon-specific mutations
Fig. 3Pedigree analysis illustrating the family history of colon cancer and the detection of FANCC W113X in the patient (II) and his son (III)