Macroautophagy (hereafter referred to as autophagy) is a regulated degradative pathway through which cells degrade cytoplasmic material, including proteins and dysfunctional organelles. A hallmark of autophagy is the formation of a double-membraned structure known as the autophagosome, which sequesters cellular cargo and subsequently delivers it to lysosomes for degradation1,2,3. In normal cells, autophagy contributes to the controlled turnover of proteins and organelles, thereby limiting oxidative stress and reducing the risk of tumor development. In cancer cells, however, this process can be co-opted to support survival under conditions of high metabolic demand, nutrient deprivation, and hypoxia. By facilitating adaptation to a hostile microenvironment, autophagy also contributes to chemotherapy resistance, in part by mitigating treatment-induced cellular damage4,5.
Pancreatic cancer ranks as the third leading cause of cancer-related mortality in the United States. Approximately 90% of pancreatic cancers are classified as pancreatic ductal adenocarcinoma (PDAC). Unlike several other malignancies, for which early detection and therapeutic advances have improved patient survival, PDAC is diagnosed at an advanced stage in more than 80% of cases. This late-stage presentation, combined with aggressive tumor biology and marked resistance to therapy, results in a 5-year overall survival rate of approximately 11%6.
The KPC mouse model, based on pancreas-specific activation of oncogenic Kras and conditional deletion of Trp53 driven by Cre recombinase, is one of the most widely used genetically engineered models of pancreatic ductal adenocarcinoma. These mice spontaneously develop tumors that closely resemble the human disease, progressing from pancreatic intraepithelial neoplasia (PanIN) to invasive carcinoma. Importantly, this model recapitulates key features of pancreatic cancer, including a dense desmoplastic stroma and an immunosuppressive tumor microenvironment. Tumor cells isolated from KPC mice (KPC-derived cells) provide a complementary in vitro system that retains many of the genetic and phenotypic characteristics of the original tumors, enabling mechanistic studies and controlled evaluation of therapeutic responses7,8.
VMP1 is an essential autophagy-related protein that initiates autophagy through its interaction with Beclin-1 and recruitment of the PI3KC3 complex9,10. Beyond initiation, VMP1 participates in multiple stages of autophagy, including autophagosome formation10, closure11, and selective processes such as mitophagy12 and zymophagy13. VMP1 remains involved throughout autophagic flux and may exert additional functions as a phospholipid scramblase14. In the pancreas, VMP1 expression is typically low but is strongly induced under stress conditions, including pancreatitis and oncogenic transformation, where it promotes autophagy downstream of mutant KRAS signaling15,16. VMP1 is overexpressed in pancreatic cancer17, and experimental mouse models have shown that VMP1-dependent autophagy cooperates with KRAS to promote tumor initiation and PanIN formation18. Furthermore, VMP1 contributes to chemotherapy resistance because its upregulation by agents such as gemcitabine19 stimulates autophagy19 and supports tumor cell survival17, highlighting its pro-tumorigenic role15.
Autophagosomes are characterized by the presence of the autophagy-related protein microtubule-associated protein light chain 3 (LC3)20. Under basal conditions, LC3 is predominantly present in a soluble form (LC3-I) distributed throughout the cytoplasm and nucleus. Upon activation of autophagy, LC3 undergoes lipidation through conjugation to phosphatidylethanolamine, generating the membrane-associated form LC3-II1,21. Although LC3-II has a higher molecular weight than LC3-I due to this modification, it migrates more rapidly during SDS-PAGE, likely because of its increased hydrophobicity. Consequently, the conversion of LC3-I to LC3-II reflects lipidation rather than proteolytic processing, with LC3-I typically detected at approximately 16 kDa and LC3-II at approximately 14 kDa. Because LC3-II levels correlate with autophagosome abundance, LC3 immunoblotting is widely used to monitor autophagic activity22. Accurate assessment of LC3 dynamics is therefore essential for interpreting autophagy-related experimental findings.
This study details the standardization and technical optimization of a classical LC3 immunoblot protocol in a KPC-derived pancreatic cancer cell line. Optimization is particularly important because LC3 is a low-molecular-weight protein, the LC3-I and LC3-II forms differ by only ~2 kDa in electrophoretic mobility, and LC3-II is a lipidated species21,22. Consequently, minor procedural variations can compromise LC3 detection and lead to suboptimal results. In addition, the species origin of the samples represents an important consideration for achieving optimal immunoreactivity. The optimized protocol is sufficiently sensitive to detect increased LC3-II levels following treatment with the chemotherapeutic agent gemcitabine and following VMP1 knockdown, conditions known to stimulate autophagy and impair autophagic flux, respectively. Finally, two potential technical pitfalls are highlighted to demonstrate their impact on data quality and result interpretation. An overview of this experimental workflow is illustrated in Figure 1.

Figure 1: Schematic representation of the LC3 immunoblot protocol in KPC-derived cells. Schematic overview of the protocol used to detect and quantify LC3-II levels by immunoblotting. KPC-derived pancreatic cancer cells are cultured and subjected to experimental treatments, followed by cell lysis, protein quantification, SDS–PAGE, membrane transfer, antibody-based detection of LC3, chemiluminescent signal acquisition, and densitometric analysis of LC3-II bands normalized to a loading control. The workflow highlights the major procedural steps and critical stages required for reliable assessment of LC3 dynamics. Created with BioRender.com. Please click here to view a larger version of this figure.