30Analysis of cell-free DNA (cfDNA) is promising for broad applications in clinical 31 settings, but with significant bias towards late-stage cancers. Although recent studies have 32 discussed the diverse and degraded nature of cfDNA molecules, little is known about its 33 impact on the practice of cfDNA analysis. Here we reported a new targeted sequencing by 34 combining single-strand library preparation and target capture (SLHC-seq). By applying 35 the new technology in plasma cfDNA from pancreatic cancer patients, we achieved higher 36 efficiency in analysis of mutations than previously reported using other detection assays. 37 SLHC-seq rescued short or damaged cfDNA fragments along to increase the sensitivity 38 and accuracy of circulating-tumor DNA detection. Most importantly, we found that the 39 small mutant fragments are prevalent in early-stage patients, which provides strong 40 evidence for fragment size-based early detection of pancreatic cancer. Collectively, the 41 new pipeline enhanced our understanding of cfDNA biology and provide new insights for 42 liquid biopsy. 43 44 MAIN TEXT 45 65 sequencing.(Aravanis et al, 2017; Zill et al, 2015) Moreover, the noninvasive nature of cfDNA 66 analysis enables doctors to monitor disease progression.(Couraud et al, 2014; Murtaza et al, 2013; 67 Zill et al, 2015) However, cfDNA analysis using large-scale next-generation sequencing (NGS) 68 has been largely confined to advanced or metastatic cancers, in which the ctDNA ( circulating-69 tumor DNA ) fraction is higher and is more readily detectable.(Gorgannezhad et al, 2018; Haber 70 & Velculescu, 2014) Detection of ctDNA in early-stage cancers is still filled with cautionary tales 71 that highlight the technical challenges in this field. Recently, Velculescu et al reported improved 72 targeted error correction sequencing ( TEC-Seq ) as an efficient approach for the detection of 73 ctDNA in early-stage colorectal, ovarian, breast, and lung cancers, with a detection rate ranging 74 from 59% to 71%.(Phallen et al, 2017) The massive parallel sequencing approach provides an 75 applicable paradigm guiding cfDNA analysis in early-stage cancers. 76 However, the performance of existing approaches is limited in cfDNA analysis in early-77 stage pancreatic cancers. This limitation may be partially because of a lower ctDNA content in 78 the circulation of pancreatic cancers.(Aravanis et al, 2017) Moreover, the biological features of 79