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. 2022 Jun 21;6:40. doi: 10.1038/s41698-022-00283-7

Table 3.

Guidelines recommended for the study of circulating lncRNAs as biomarkers for cancer diagnosis, based on troubleshooting performed by previous works.

Step Recommended Reason Reference
Patient selection Exclude patients with inflammation Higher / different levels of white blood cells associated with inflammation may impact levels of circulating RNAs upon cytolysis 198,199
Recruit patients with same gender, age and race Minimize variation in lncRNA levels due to possible inter-individual confounding factors (such as SNPs, CNV, etc.) 63
May include questionnaire about diet and lifestyle Diet and lifestyle (alcohol consumption, smoking) can affect lncRNA levels 200,201
Blood sample preparation Prepare serum or plasma. Discard cellular fraction Cellular fraction of blood may contain different levels of blood cells which in return may impact levels of circulating RNAs upon cytolysis 199,202
Strict standard operating procedures when preparing serum/plasma Minimize variations in circulating RNAs due to sample preparation. Avoid hemolysis. 202
Measure A414, A541, A576 Assess for hemolyzed samples 69
RNA extraction Use kits compatible with liquid samples Enable extraction of circulating lncRNAs from plasma or serum samples Kit manufacturers
Use kits combining both solid (filter) and liquid phase (organic) extraction Maximize extraction of circulating lncRNAs from plasma or serum samples 17,24,42
Use as much plasma/serum as possible Maximize RNA yield after extraction Our recommendation
Reverse Transcription Use same volume of RNA extracts Allow maximum RNA input for Reverse Transcription Our recommendation
qPCR (relative quantification with ΔΔCt method) Test several reference genes. Carefully choose best reference gene(s) using NormFinder, RefFinder or Genorm algorithms. Most popular: GAPDH, beta-actin, 18 S To avoid: RPLPO, GUSB, HPRT The right reference gene is needed for accurate relative quantification using ΔΔCt method. GAPDH, beta-actin, 18 S present in large quantities in blood. RPLPO levels inconsistent in blood GUSB, HPRT levels too low in blood 3,25,41,42,47,203
Careful in interpretation of data when using spike-in controls Spike-in controls do not account for variations in lncRNA concentrations in blood-derived samples prior to RNA extraction step 180
Measure transcript levels of MB, NGB, CYGB genes Assess for contamination from red blood cells 69
Measure transcript levels of APOE, CD68, CD2, CD3 genes Assess for contamination from white blood cells 69

Information reported includes step of the analysis, actual recommendation, reason for the recommendation and related literature reference.