Identification of Factors Affecting the Success of Next-Generation Sequencing Testing in Solid Tumors.
Author(s): Goswami RS, Luthra R, Singh RR, Patel KP, Routbort MJ, Aldape KD, Yao H, Dang HD, Barkoh BA, Manekia J, Medeiros LJ, Roy-Chowdhuri S, Stewart J, Broaddus RR, Chen H
Publication: Am J Clin Pathol, 2016, Vol. 145, Page 222-37
PubMed ID: 27124905 PubMed Review Paper? No
Purpose of Paper
This paper investigated how acquisition method, tumor and tissue type, size of the microdissected area, formalin-fixed paraffin-embedded (FFPE) block storage duration, and tumor cellularity affects the percentage of specimens for which next-generation sequencing (NGS) was successful, as well as the impact of reducing DNA input requirements.
Conclusion of Paper
NGS was successful in 87% of FFPE specimens with 91% of failures stemming from insufficient DNA yield; however, further study revealed that NGS was successful for 73% of specimens that were initially excluded due to low DNA yield. NGS failure rates (including those due to insufficient DNA) differed among tumor and tissue types and different sizes of the microdissected area. NGS failure rates were higher for fine-needle aspiration (FNA) or biopsy specimens than for resection specimens. The area chosen for microdissection was associated with specimen acquisition method, tumor cellularity, and DNA yield. Importantly, changing DNA input requirements such that specimens with more than 10 ng/µL DNA were included allowed NGS in 95% of specimens.Block age did not affect NGS success rates.
Studies
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Study Purpose
This study investigated how acquisition method, tumor and tissue type, size of the microdissected area, FFPE block storage duration, and tumor cellularity affects the percentage of specimens for which NGS was successful, as well the impact of reducing DNA input requirements. Areas of solid tumors containing >20% tumor cells were microdissected using an H&E stained slide as a guide, from 5 µm unstained sections of FFPE biopsy (237), surgical (342), and fine-needle aspiration (FNA) cell block (34) specimens. Bone specimens were decalcified in formic acid or remained non-decalcified. DNA was extracted from up to 20 sections of tiny tumors (1-10 mm2), 6-10 sections of small tumors (10-20 mm2), 3-5 sections of medium tumors (20-60 mm2), and 1-2 sections of large tumors (>60 mm2) using the PicoPure DNA extraction kit and purified using the Agencourt AMPure XP kit. DNA was quantified using Qubit. If initial extraction resulted in insufficient DNA for NGS, extraction was repeated using additional sections before a specimen was considered an NGS failure. NGS libraries were constructed using the Ion AmpliSeq Cancer Hotspot Panel v2.
Summary of Findings:
Of the 614 specimens from which DNA was extracted, 67 (11%) failed NGS because less than 10 ng DNA was available, 3 (0.5%) failed library construction due to lack of amplification and 4 (0.7%) failed due to variably-sized amplicons. NGS success rates were significantly higher for melanomas than hepatocellular carcinomas (95% versus 55%, P=0.001), gynecologic organs (100%) than for bone (63%, P<0.001) or liver (77%, P=0.002), and for resection specimens (333 of 342, 97%) than biopsy specimens (189 of 237, 80%, P<0.001) or FNA specimens (17 of 34, 50%, P<0.001), while NGS success rates were not significantly different among other tumor types nor were they different between metastasis and primary tumors. Success rates were also lower for specimens when the microdissected area was tiny (<10mm2, 69%) than when small (10-20mm2, 97%; P < 0.001), medium (20- 60mm2, 98%, P<0.01), or large (60mm2, 99.6%, P<0.01); and among small compared to large specimens (97% versus 99.6%, P<0.01); but was not affected by block storage duration (<1 year, 1-2 years, 3-6 years, or 7-12 years). Decalcification of specimens resulted in decreased NGS success compared to non-decalcified specimens (62% versus 89%, P=0.013), but the effect may be dependent on solution used as the success rate was higher for formic acid decalcified specimens than OSH decalcified specimens (73% versus 0%). Further, NGS success rates were comparable for non-decalcified (3 of 5, 60%) decalcified (8 of 13, 62%) bone specimens.
Importantly, the size of the microdissected area may be a confounding factor to NGS success, as DNA yield was significantly correlated with the size of the microdissected area (P<0.01). The percentage of specimens that had a microdissected area classified as tiny differed based on procurement method: 6% of resection specimens, 68% (160 of 237) of biopsy specimens, and 59% of FNA specimens (10 of 17). Invasive tumor cellularity was also associated with the size of the microdissected area, as less than 30% cellularity was observed in 60% of specimens with a tiny microdissected area and 33% of specimens with a medium or large microdissected area.
Of the 22 specimens that were originally excluded from NGS analysis due to insufficient DNA (<10 ng), NGS was successful for 16 while 6 failed library preparation. NGS library construction was possible for 15 of the 17 specimens with 1.2 to 10 ng DNA but was successfully generated for only 1 of the 5 (20%) specimens with <1.2 ng DNA. Sanger sequencing was used to confirm variants in 10 cases with eight allowing for complete verification and two only partial verification. Using another cohort of 408 specimens, NGS was successful in 88% of specimens including 28 of 33 specimens (85%) with 1.2-10 ng DNA. Further, exclusion of specimens with <10 ng increased the NGS success rate to 95%. The effect of excluding specimens with <10 ng had the biggest effect on cytology blocks where success increased from 58% to 87% (P<0.01) and biopsy specimens where success increased from 84% to 95% (P<0.01). Even with the increased success observed after exclusion of specimens with <10 ng, a small difference remained between FNA and resection specimens (87% versus 96%, P=0.03). Block age did not affect NGS success rates.
Biospecimens
- Tissue - Bone
- Tissue - Skin
- Tissue - Breast
- Tissue - Colorectal
- Tissue - Ovary
- Tissue - Vagina
- Tissue - Uterus
- Tissue - Kidney
- Tissue - Head and Neck
- Tissue - Liver
- Tissue - Lung
- Tissue - Lymph Node
- Tissue - Esophagus
- Tissue - Stomach
- Tissue - Brain
Preservative Types
- Formalin
Diagnoses:
- Neoplastic - Carcinoma
- Neoplastic - Sarcoma
- Neoplastic - Benign
- Neoplastic - Other
- Neoplastic - Melanoma
Platform:
Analyte Technology Platform DNA Next generation sequencing Pre-analytical Factors:
Classification Pre-analytical Factor Value(s) Preaquisition Diagnosis/ patient condition Melanoma
Astrocytic tumor
Unspecified brain tumor
Sarcoma
Adenocarcinoma
Squamous cell carcinoma
Serous carcinoma
Hepatocellular carcinoma
Neuroendocrine carcinoma
Unspecified Carcinoma
Biospecimen Acquisition Biospecimen location Bone
Brain
Breast
Lung
Liver
Head/Neck
Other deep-seated organs
Colorectal
Genitourinary organs
Gynecologic organs
Lymph
Skin
Soft tissue
Upper gastrointestinal organs
Primary tumor
Metastasis
Analyte Extraction and Purification Decalcification solution/ duration Decalcified
Not decalcified
Next generation sequencing Specific Technology platform Sanger Sequencing
Storage Storage duration <1 year
1-2 years
3-6 years
7-12 years
Biospecimen Aliquots and Components Aliquot size/volume <10mm2
10-20 mm2
20-60 mm2
>60 mm2
Next generation sequencing Specific Template/input amount >10 ng DNA
1.2-10 ng DNA