1 Introduction
Pancreatic most cancers is very aggressive, with a 5-year general survival (OS) of solely 12%, making it the third main explanation for cancer-related mortality in america (1). Globally, the incidence of pancreatic most cancers in 2020 was estimated to be 495,773 (2). The poor prognosis of pancreatic most cancers is principally because of most sufferers being recognized at a complicated metastatic stage. The median OS for metastatic pancreatic most cancers (mPC) is barely 3 months (3). Figuring out prognostic elements that predict worse OS amongst sufferers with mPC might assist personalize remedies and probably prolong lifespan.
One potential determinant of OS in sufferers with mPC is power an infection with the hepatitis B virus (HBV) (4–8). Regardless of widespread vaccination applications, over 250 million individuals worldwide are contaminated with HBV (9). Persistent HBV an infection is related to a excessive threat of pancreatic and different cancers (10, 11). HBV an infection could enhance most cancers threat by inducing unchecked inflammatory responses (11, 12). A number of inflammatory biomarkers and dietary indicators, such because the neutrophil-to-albumin ratio (NAR) and the mixed index of hemoglobin, albumin, lymphocytes, and platelets (HALP), correlate with prognosis in lots of cancers (13–16). Nonetheless, the predictive values of those biomarkers for mPC stay unclear.
On this examine, we constructed a nomogram based mostly on HBV an infection standing, inflammatory and dietary indicators to foretell the prognosis of sufferers with mPC and supply personalised complete remedy.
2 Supplies and strategies
2.1 Sufferers
This retrospective examine was permitted by the Ethics Assessment Committee of Guangxi Medical College Most cancers Hospital (IRB approval quantity: LW2023006), which waived the requirement for knowledgeable affected person consent as a result of the sufferers had beforehand supplied written consent on the time of remedy for his or her anonymized medical knowledge to be analyzed and revealed for analysis functions.
We screened consecutive sufferers recognized with mPC and handled at Guangxi Medical College Most cancers Hospital between October 2013 and October 2022 (Determine 1A). Sufferers had been enrolled in the event that they (1) had been older than 18 years, (2) had histologically or cytologically confirmed mPC, and (3) had been assigned stage IV based mostly on the eighth version of the tumor-node-metastasis staging system developed by the American Joint Committee on Most cancers. Sufferers had been excluded in the event that they (1) had different malignant comorbidities, (2) had not been examined for HBV an infection at our hospital, or (3) had incomplete scientific knowledge.
Determine 1 Circulate chart of mPC affected person choice course of (A) and statistical circulation chart (B).
2.2 Information assortment
Baseline clinicodemographic knowledge, together with age, intercourse, T stage, N stage, variety of metastatic places, diabetes, major tumor location, and particulars of chemotherapy, radiotherapy, surgical procedure, and anti-HBV remedy, had been extracted from the digital medical information of our hospital. Blood samples had been collected from every affected person throughout their preliminary mPC prognosis. These samples had been analyzed to find out neutrophils, lymphocytes, and platelets counts, hemoglobin, albumin, CA125, and CA19–9 ranges, and the presence of HBV antigen, anti-HBV antibodies, and HBV DNA. The NAR was calculated because the ratio of neutrophil depend (109/L) to albumin focus (g/L) (13). HALP was calculated as hemoglobin stage (g/L) × albumin stage (g/L) × lymphocyte depend (109/L)/platelet depend (109/L) (17).
An enzyme-linked immunosorbent assay was used to display for hepatitis B floor antigen (HBsAg), hepatitis B envelop antigen (HBeAg) and their related antibodies, in addition to for the hepatitis B core antibody (anti-HBc). HBV DNA was detected by polymerase chain response. Qc included the timeliness and the choice of constructive and unfavourable management sera.
Sufferers who examined constructive for HBsAg and both HBeAg or HBV DNA had been labeled as HBV-positive, in any other case, they had been labeled as HBV-negative. These two teams had been in contrast when it comes to the blood indices talked about above and when it comes to OS, outlined because the interval between mPC prognosis and dying, loss to follow-up, or completion of the final follow-up on April 30, 2024. Survival knowledge had been extracted from medical information and phone follow-ups.
2.3 Statistical evaluation
All statistical analyses had been carried out utilizing SPSS (model 25.0, IBM SPSS, Inc., Chicago, IL, USA), PASS 11.0(Energy Evaluation and Pattern Dimension), and R 4.2.1 (http://www.r-project.org/). Outcomes had been statistically vital when related to a two-sided P < 0.05. Variations between the HBV-positive and -negative teams in steady variables had been assessed for significance utilizing the Scholar’s t check or Wilcoxon check. Variations in categorical variables had been evaluated utilizing the chi-squared check or Fisher’s precise check. Steady variables had been reported as medians with interquartile ranges, whereas categorical knowledge had been expressed as entire numbers and proportions. NAR and HALP had been calculated as steady variables however categorized as “low” or “excessive” utilizing a cut-off worth that optimally separated sufferers based mostly on OS in X-tile (model 3.6.1).
The PASS 11.0 software program was used to estimate the pattern measurement at a stage of the one aspect 0.05. OS was analyzed utilizing Kaplan-Meier curves and in contrast between HBV-positive and HBV-negative sufferers utilizing the log-rank check (Determine 1B). The OS of the sufferers who acquired anti-HBV remedy was additionally analyzed utilizing the log-rank check. Univariate Cox regression was used to establish the traits related to OS. Variables with P <0.05 within the univariate evaluation had been included within the multivariate Cox proportional hazards regression and had been set as Mannequin 1. Contemplating the interplay of a number of elements, Mannequin 2 was additionally set for our multivariate Cox regression evaluation, utilizing the multivariate Cox ahead stepwise regression evaluation. Just one variable was included at every step. Variables with P <0.05 had been included within the mannequin, these with P >0.05 had been discarded, and the subsequent variable was included. The elements that had been much less essential to the OS outcomes had been regularly eradicated. The ultimate mannequin supplied a greater prediction of the OS of the sufferers. Information had been expressed as hazard ratios (HRs) and 95% confidence intervals (CIs).
Unbiased predictors of OS recognized utilizing Cox regression had been used to assemble a nomogram. The predictive energy of the nomogram mannequin was evaluated by the realm below the curve (AUC) of the receiver working attribute utilizing the “timeROC” within the R software program bundle. An AUC larger than 0.7 indicated good efficiency of the nomogram mannequin. Calibration plots had been generated to evaluate the efficiency of the nomogram between the expected chance and precise survival fee. The predictive energy of the nomogram was internally validated utilizing bootstrapping (1,000 resamples).
The bootstrap methodology concerned resampling knowledge from the unique pattern to create new samples. Resampling implies that knowledge might be sampled greater than as soon as. Primarily based on these new samples, the required statistics had been calculated to assemble a calibration curve. Specifically, we extracted knowledge from 50 sufferers from a dataset of 236 sufferers to type a brand new dataset. We randomly sampled the info from one affected person at a time from the unique dataset and positioned them within the new dataset. This course of was repeated 1000 occasions to plot the calibration curve. The scientific profit supplied by the nomogram was assessed utilizing determination curve evaluation within the “ggDCA” bundle of the R software program.
3 Outcomes
3.1 Affected person traits
Of the 249 sufferers thought-about for enrollment, 236 had been included within the remaining evaluation. The median age of those sufferers was 60.0 (52.0–68.0) years, and 135 (57.2%) had been males (Desk 1). The HBV-positive and HBV-negative teams comprised 37 and 199 sufferers, respectively. HBV-positive sufferers had been considerably youthful at mPC prognosis than HBV-negative sufferers. The variety of HBV-positive sufferers who had been already taking anti-HBV medication was 20 (54.05%). HBV-positive sufferers had been handled with anti-HBV medication earlier than and till the top of chemotherapy. Some HBV-positive sufferers didn’t obtain chemotherapy, comparable to these receiving solely supportive care and those that refused to make use of anti-HBV medication. Most tumors (60.59%) had been discovered within the physique and tail of the pancreas, whereas 84 (35.59%) had been positioned within the head of the pancreas. No different vital variations had been present in clinicopathological options between the 2 teams.
A complete of 206 deaths (87.3%) had been recorded in the course of the follow-up interval. The median OS was considerably longer within the HBV-positive group in comparison with the HBV-negative group (6 vs. 3 months, P = 0.014; Determine 2A). Amongst HBV-positive sufferers, the median OS of those that had taken anti-HBV medication was longer than that of those that had not (8 vs. 3 months, P = 0.009; Determine 2B).

Determine 2 Survival curves of mPC sufferers with totally different HBV an infection standing (A) and whether or not they acquired anti-HBV medication or not (B).
3.2 Univariate and multivariate associations with OS
Utilizing the X-tile, we decided the optimum cut-offs to be 0.13 for NAR and 10 for HALP. Univariate evaluation recognized age, intercourse, metastatic websites, chemotherapy, CA125, HALP, NAR, HBV an infection standing, and anti-HBV remedy as considerably related to the prognosis of sufferers with mPC (Desk 2). Multivariate evaluation of Mannequin 1 recognized the next as unbiased threat elements for prognosis: HBV an infection standing (HR, 1.761 95% CI, 1.022–3.036, P = 0.042), intercourse (HR, 0.620, 95% CI, 0.463–0.831, P = 0.001), metastatic websites (HR, 1.572, 95% CI, 1.140–2.168, P = 0.006), chemotherapy (HR, 0.588, 95% CI, 0.436–0.793, P < 0.001), CA125 (HR, 2.158, 95% CI, 1.486–3.132, P <0.001), NAR (HR, 1.424, 95% CI, 1.071–1.894, P = 0.015) and HALP (HR, 0.536, 95% CI, 0.338–0.849, P =0.008).
Equally, Mannequin 2 evaluation of multivariate Cox regression confirmed that intercourse (P = 0.002), metastatic websites (P = 0.004), chemotherapy (P <0.001), CA125 (P <0.001), HALP (P = 0.004), NAR (P = 0.026) and HBV an infection standing (P =0.005) had been additionally unbiased prognostic elements.
3.3 Growth and validation of a predictive nomogram
The clinicopathological elements and HBV standing recognized within the multivariate evaluation had been used to assemble a nomogram to foretell the OS of sufferers with mPC at 6, 12, and 18 months (Determine 3). The nomogram confirmed that CA125, HALP, and HBV an infection standing had been essentially the most vital predictors of OS. Our nomogram demonstrated good discriminative energy, with an AUC of 0.808 at 6 months, 0.862 at 12 months, and 0.812 at 18 months (Figures 4A–C). Calibration curves confirmed that the nomogram predicted prognosis most precisely at 6 months and fewer precisely at 12 and 18 months, these outcomes had been internally validated by bootstrapping (Determine 5). Nonetheless, determination curve evaluation demonstrated that our nomogram may benefit sufferers at 6, 12, and 18 months after prognosis (Determine 6).

Determine 3 Nomogram of prognostic mannequin for OS of mPC. Evaluation of a nomogram based mostly on seven predictors of general survival (OS) in sufferers with metastatic pancreatic most cancers.

Determine 4 Time-dependent ROC curve of the mannequin. Time-dependent receiver working attribute curves assessing the flexibility of the nomogram to foretell general survival (OS) at (A) 6 months, (B) 12 months, and (C) 18 months in metastatic pancreatic most cancers.

Determine 5 Calibration curve of the mannequin. Calibration plot of the nomogram to foretell general survival (OS) at (A) 6 months, (B) 12 months, and (C) 18 months with metastatic pancreatic most cancers.

Determine 6 Resolution curves of the mannequin. Resolution curve evaluation (DCA) to evaluate the scientific advantage of the predictive nomogram at (A) 6 months, (B) 12 months, and (C) 18 months with metastatic pancreatic most cancers.
3.4 Validation of the nomogram
We assessed whether or not our nomogram precisely recognized sufferers with mPC at totally different threat ranges for poor OS. Primarily based on the X-tile evaluation, we decided a nomogram rating of 270 to be the most effective cut-off for stratifying sufferers with mPC into these with brief or lengthy OS. Utilizing this cut-off, sufferers had been labeled right into a “low-risk” group with median OS of 6 months and a “high-risk” group with median OS of two months (P <0.001; Determine 7).

Determine 7 Kaplan−Meier curve of general survival (OS) based mostly on the nomogram. Notes: “Low-risk” sufferers had been outlined as these scoring < 270; different sufferers had been labeled as “high-risk”.
4 Dialogue
Our examine discovered that HBV an infection was related to higher OS in sufferers with mPC. We additionally developed a nomogram based mostly on HBV an infection standing, dietary indicators, and clinicopathological traits, which can be helpful for figuring out sufferers with mPC at a better threat of poor prognosis. This software might information the personalization of remedy and assist allocate medical assets extra effectively.
A number of research have prompt that HBV an infection contributes to the incidence and development of pancreatic most cancers (11, 18, 19). Nonetheless, in some European inhabitants research, HBV an infection was not discovered to be a threat issue for pancreatic most cancers (20–22). Though the underlying mechanism by which HBV influences the event and development of pancreatic most cancers stays unclear, a number of prospects exist. Firstly, HBV is a widely known carcinogen that’s significantly prevalent in Asia, the place it accounts for as much as 80% of hepatocellular carcinoma circumstances (23). Secondly, whereas HBV is primarily hepatotropic and strongly related to end-stage power liver illness (24), its systemic nature permits it to unfold by way of the blood and deposit in organs aside from the liver (25, 26). On condition that the pancreas shares arteries and ducts with the liver, in addition to progenitor cells originating from endoderm cells of the embryonic foregut, it might probably function a goal organ for HBV (27, 28). This offers a theoretical foundation for the switch of hepatitis virus to the pancreas. As soon as invaded by HBV, irritation happens within the pancreas. Persistent irritation can injury pancreatic tissue, ultimately resulting in malignant transformation (29). Some research have supplied proof of HBV an infection markers in most cancers tissues from sufferers with pancreatic most cancers (29, 30). Batskikh et al. found the presence of HBV DNA and the expression of Hepatitis B virus X protein antigens in tissues of people with pancreatic most cancers, demonstrating the replication capacity of HBV inside these tissues (7). Furthermore, Hepatitis B virus X protein performs an essential position in hepatocarcinogenic pathogenesis, and even with out lively replication, it will probably contribute to tumor cell transformation, invasion, and metastasis (31). Subsequently, lively replication of HBV throughout the pancreas could promote tumor cell transformation by infecting pancreatic most cancers cells. HBV DNA might be built-in into the host genome, inflicting genomic mutations, enhancing the expression of proto-oncogenes, and decreasing the relative expression of tumor suppressor genes, which can result in tumorigenesis (31). Subsequently, HBV could also be concerned within the growth of non-hepatic tumors.
Surprisingly, we noticed that HBV an infection improved the prognosis of sufferers with mPC. Moreover, sufferers handled with anti-HBV medication had a greater prognosis. Future analysis ought to discover the underlying mechanisms behind this commentary. Nonetheless, the affect of HBV an infection on the prognosis of pancreatic most cancers stays controversial. For instance, one examine linked HBV to a heightened threat of synchronous liver metastases, thereby indicating a poorer prognosis (32). Nonetheless, one other examine reported no vital disparity in short- or long-term survival between HBV-positive or -negative sufferers following pancreatic most cancers resection (33). Such discrepancies could mirror variations in affected person samples. Future analysis ought to discover the connection between sufferers with mPC and OS by way of additional large-sample and multicenter research.
We hypothesized that HBV an infection would possibly enhance the prognosis of sufferers with mPC by way of numerous mechanisms: Firstly, HBV has been proven to stimulate persistent irritation by inflicting immune cells to launch pro-inflammatory cytokines comparable to IL-6, IL-10, IL-12, TNF-α and IFN-γ (34–37). Most adult-onset HBV infections usually set off strong, multifunctional CD8+ T cell responses (38). When HBV infects the host, HBV DNA replication could also be initiated spontaneously or by way of lively immunosuppression in some sufferers (39). Concurrently, Hepatitis B virus X protein will increase cyclooxygenase-2 expression, and HBV promotes immunosuppression by upregulating cyclooxygenase-2 (40, 41). In HBV-infected sufferers, circulating and tumor-infiltrating FoxP3+Tregs are enriched, exerting a suppressive impact on antitumor immunity (42). Subsequently, we hypothesized that HBV regulates the pancreatic most cancers tumor microenvironment by secreting these cytokines into pancreatic most cancers cells, affecting the prognosis of sufferers with mPC. Furthermore, the sufferers have been receiving common anti-HBV remedy since hospitalization, and these medication have demonstrated immunomodulatory results (43). The immune response of CD8+T cells is enhanced in sufferers with power hepatitis B receiving anti-HBV remedy (44). Sufferers present process long-term nucleos(t)ide analogue remedy with low HBsAg ranges could “get up” dysfunctional immune cells because of lowered ranges of viral antigen within the blood and liver (45). Even in HBV-infected sufferers, particular CD4+T cells play an important position within the sustained response after discontinuing anti-HBV medication (46). This will affect the effectiveness of chemotherapy and the flexibility of the immune system to fight the tumor.
A number of elements recognized in our examine as unbiased threat elements for poor OS in sufferers with mPC have additionally been related to the prognosis of sufferers with pancreatic most cancers following radical resection or these with incurable pancreatic most cancers. These elements embrace excessive CA125, HALP, and NAR ranges (14, 15, 47), aligning with current literature, suggesting the reliability of our analyses and the ensuing nomograms.
Nonetheless, our findings ought to be interpreted cautiously in gentle of sure limitations, comparable to our small pattern measurement and retrospective examine design. These elements enhance the danger of choice bias. Moreover, our pattern spanned practically a decade, throughout which the use and efficacy of antiviral remedies could have modified. Subsequently, the generalizability of our findings ought to be verified and prolonged by way of multi-site potential research, which also needs to be used to externally validate our nomogram.
5 Conclusion
We constructed a nomogram based mostly on the HBV an infection standing and nutritional-inflammatory biomarkers to foretell the OS of sufferers with mPC. If externally validated, the nomogram might be a helpful software for figuring out high-risk sufferers and personalizing remedy methods.
Information availability assertion
The info usually are not publicly obtainable because of affected person privateness. Requests to entry the datasets ought to be directed to XLL, nllxl@163.com.
Ethics assertion
The research involving people had been permitted by the Ethics Assessment Committee of Guangxi Medical College Most cancers Hospital (IRB approval quantity: LW2023006). The research had been carried out in accordance with the native laws and institutional necessities. The contributors supplied their written knowledgeable consent to take part on this examine. Written knowledgeable consent was obtained from the person(s) for the publication of any probably identifiable photos or knowledge included on this article.
Writer contributions
XWL: Conceptualization, Information curation, Formal evaluation, Writing – authentic draft. QL: Software program, Writing – authentic draft. SL: Information curation, Formal evaluation, Writing – authentic draft. YL: Information curation, Formal evaluation, Writing – authentic draft. XLL: Conceptualization, Sources, Supervision, Writing – evaluate & modifying.
Funding
The writer(s) declare monetary help was acquired for the analysis, authorship, and/or publication of this text. This examine was funded by the Guangxi Pure Science Basis Venture (Grant No: 2023GXNSFAA026156), the Scientific analysis venture on revolutionary utility of scientific professionals’ experience (Grant No: RCLX2315058), the Guangxi Medical and well being key self-discipline development venture (Grant No: 2022-1), the Regional Fund Initiatives of Nationwide Pure Science Basis of China (Grant No: 82060545) and the Guangxi Medical and Well being Acceptable Expertise Growth and Utility Promotion Venture (S2021015).
Acknowledgments
We thank all those that contributed to this manuscript.
Battle of curiosity
The authors declare that the analysis was carried out within the absence of any industrial or monetary relationships that might be construed as a possible battle of curiosity.
Writer’s be aware
All claims expressed on this article are solely these of the authors and don’t essentially characterize these of their affiliated organizations, or these of the writer, the editors and the reviewers. Any product which may be evaluated on this article, or declare which may be made by its producer, will not be assured or endorsed by the writer.
Abbreviations
HBV, hepatitis B virus; OS, general survival; mPC, metastatic pancreatic most cancers; HBV, hepatitis B virus; HALP, a mixed index of hemoglobin, albumin, lymphocyte, and platelet; NAR, neutrophil-albumin ratio; AUC, space below curve; HBsAg, hepatitis B floor antigen; HBeAg, hepatitis B e antigen; anti-HBc, hepatitis B core antibody; IQRs, interquartile ranges; HRs, hazard ratios; CIs, 95% confidence intervals; HBx, Hepatitis B virus X protein.
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