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ORIGINAL RESEARCH article

Front. Oncol., 22 January 2026

Sec. Gastrointestinal Cancers: Hepato Pancreatic Biliary Cancers

Volume 16 - 2026 | https://doi.org/10.3389/fonc.2026.1737204

This article is part of the Research TopicIntrahepatic Cholangiocarcinoma: Emerging Insights from Pathobiology to Clinical Translation – Innovative Strategies, Challenges, and OpportunitiesView all 17 articles

Determinants and survival benefits of achieving textbook outcome for intrahepatic cholangiocarcinoma in the era of neoadjuvant therapy

Jiawei Hu&#x;Jiawei HuYihang Wang&#x;Yihang WangHaoran DiaoHaoran DiaoShuangda MiaoShuangda MiaoXiaoxiao ZhangXiaoxiao ZhangQi LiQi LiYanzhi PanYanzhi PanYun JinYun JinYuanquan YuYuanquan YuJiangtao Li*Jiangtao Li*
  • Department of Hepatopancreatobiliary Surgery, The Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China

Background: Intrahepatic cholangiocarcinoma (ICC) is a highly aggressive malignancy with a poor prognosis. Radical resection is the modality to cure patients with ICC. Thus, surgical quality is the key prognostic factor for survival. Textbook outcome (TO) is a multidimensional composite indicator reflecting surgical care quality. However, the association between neoadjuvant therapies—particularly those incorporating targeted and/or immunotherapeutic agents into chemotherapy regimens—and the attainment of TO in ICC remains unclear and warrants further investigation.

Materials and methods: This retrospective study analyzed 187 patients with ICC who underwent curative resection. TO was defined as the simultaneous achievement of R0 resection, with no perioperative blood transfusion, no postoperative complications, no mortality within 30 days, no unplanned readmission within 30 days, and a postoperative length of stay not exceeding the 75th percentile. Logistic regression was used to identify factors associated with TO, with further analysis focused on the role of neoadjuvant therapy. Cox regression was used to evaluate prognostic factors for overall survival (OS), and a prognostic nomogram incorporating TO was developed and validated.

Results: TO was achieved in 53 patients (28.3%), which was significantly associated with improved OS (p = 0.003) and recurrence-free survival (p < 0.001). Multivariable analysis identified neoadjuvant therapy [odds ratio (OR) = 2.687, p = 0.014], higher body mass index, higher albumin levels, lower carcinoembryonic antigen levels, and reduced blood loss as independent predictors of TO. Combination neoadjuvant regimens (chemotherapy plus targeted/immunotherapy; OR = 2.647, p = 0.009) were the primary contributors to this positive association. A nomogram integrating TO, lymph node metastasis, prothrombin time, and adjuvant therapy demonstrated excellent predictive accuracy for survival (1-year area under the curve = 0.891).

Conclusion: Achieving TO is associated with significantly improved survival in patients with ICC. Combined neoadjuvant therapy, including targeted or immunotherapy, is an independent positive predictor of TO, which challenges conventional perspectives. The proposed TO-integrated nomogram is a practical tool for prognostic prediction and surgical quality assessment.

Introduction

Intrahepatic cholangiocarcinoma (ICC) is a malignant tumor that originates from the intrahepatic biliary epithelium, accounting for approximately 10%–20% of all cholangiocarcinoma cases. It is the second most common primary liver malignancy, constituting approximately 10% of all primary liver cancers (1, 2). The global incidence of ICC has been significantly increasing in recent years (3). The disease is highly aggressive and associated with a poor prognosis, with postoperative 3- and 5-year overall survival (OS) rates of only 30% and 18%, respectively (4). Complete surgical resection remains the primary curative treatment for ICC (5); however, only approximately 30% of patients are considered eligible for resection at initial diagnosis (6). Recent advances in neoadjuvant therapy, including chemotherapy, targeted therapy, and immunotherapy, have provided opportunities for conversion surgery in initially unresectable or borderline resectable cases, which significantly expand the pool of surgical candidates (710).

Due to its anatomical location, ICC resection frequently involves complex vascular and biliary reconstruction, thereby presenting considerable technical challenges and perioperative risks (11, 12). Surgical management has become more complicated due to the expanding use of neoadjuvant therapies. The dual aspects of antitumor efficacy and potential drug-induced liver injury contribute substantially to unclear surgical outcomes, underscoring the critical importance of precise surgical quality assessment in this context (13, 14). Several studies have indicated that surgical quality directly affects patient prognosis. For example, R0 resection has significantly improved survival rates (15, 16). However, current surgical outcome assessments often rely on isolated indicators (17), which lack integration and fail to provide a comprehensive reflection of overall treatment quality, despite their clinical relevance.

Textbook outcome (TO) is a multidimensional composite endpoint that incorporates multiple indicators such as R0 resection, no perioperative blood transfusion, no complications, no prolonged postoperative hospital stay, no unplanned readmission within 30 days, and no 30-day mortality (18, 19). TO was initially applied in colorectal cancer and is now increasingly adopted in ICC surgical evaluation and strongly correlated with improved long-term survival (1821). Traditionally, chemotherapy-based neoadjuvant therapy was considered a negative predictor for TO, with studies indicating its potential to increase surgical risk (19, 22). However, with rapid advancements in targeted and immunotherapy, this perception warrants reevaluation. These novel therapies, characterized by higher response rates and improved safety profiles, may improve resectability, reduce surgical difficulty, and consequently facilitate TO achievement (23).

Therefore, using a cohort of patients with ICC and detailed neoadjuvant therapy information, this study aimed to investigate the association between TO and patient prognosis, identify clinical factors that are independently associated with TO achievement, and specifically assess the impact of neoadjuvant therapy—particularly regimens that incorporate targeted and immunotherapeutic agents—on TO. Furthermore, we developed and validated a TO-integrated prognostic prediction model to provide a practical tool to support clinical decision-making and surgical quality assessment.

Materials and methods

This retrospective cohort study consecutively enrolled patients who underwent resection for ICC at the Second Affiliated Hospital of Zhejiang University School of Medicine from May 2011 to September 2024. Inclusion criteria were pathological confirmation of ICC. Exclusion criteria were concomitant other malignancies, incomplete follow-up data, and missing information on tumor characteristics or surgical procedures.

Data were systematically collected on patient demographics [age, sex, and body mass index (BMI]), underlying disease (e.g., diabetes and hypertension), liver function parameters, and American Society of Anesthesiologists classification, tumor characteristics (e.g., size, T stage, differentiation, vascular invasion, lymph node metastasis, and distant metastasis), laboratory values [e.g., serum albumin (ALB), total bilirubin, prothrombin time (PT), carcinoembryonic antigen (CEA), carbohydrate antigen 19-9 (CA19-9), and alpha-fetoprotein (AFP)], and surgical details (e.g., scope of surgery, surgical method, lymph node dissection, operation time, and intraoperative blood loss). Further, information on neoadjuvant and adjuvant therapies was recorded, along with surgical quality indicators and postoperative survival outcomes.

TO was defined as the simultaneous achievement of the following six criteria: R0 resection, no perioperative transfusion, no postoperative complications, no 30-day mortality, no unplanned readmission within 30 days, and postoperative length of stay not exceeding the 75th percentile of the cohort (18, 19). Neoadjuvant therapy refers to preoperative systemic treatment, including chemotherapy, chemotherapy with targeted therapy, or immunotherapy, for patients with borderline resectable tumors. It may be considered for those with a large tumor burden, multifocal disease, or major vascular involvement. Additionally, for patients with technically resectable intrahepatic tumors but high-risk features for recurrence, neoadjuvant therapy may also be considered. The decision to administer neoadjuvant therapy or proceed directly with surgery also depends on the patient’s overall health, individual preferences, and other factors (24). Resections were classified as major (≥3 Couinaud’s segments) or minor (<3 segments) (25). Intraoperative blood loss and operation time were dichotomized according to median values.

The Shapiro–Wilk test was used to test continuous variables for normality. Normally distributed variables were expressed as mean ± standard deviation and compared using analysis of variance; non-normal variables were reported as median (interquartile range) and compared using non-parametric tests. Categorical variables were expressed as frequencies and percentages, compared with χ2 or Fisher’s exact test. Baseline characteristics and perioperative outcomes were compared between the TO and non-TO groups. Reasons for not achieving TO were analyzed. Univariate and multivariate logistic regression analyses, with additional in-depth evaluation focusing on neoadjuvant therapy, were conducted to identify factors associated with TO. Based on TO status, univariate and multivariate Cox regression analyses developed a prognostic model, visualized via a nomogram. Receiver operating characteristic (ROC) curves were used to assess discriminative ability. R (version 4.3.1) was used for analyses, with p-values of <0.05 indicating significance.

Results

Baseline characteristics and textbook outcomes

The study included 187 patients with a mean age of 61.88 ± 10.06 years, of whom 107 (57.2%) were male and 80 (42.8%) were female. Among these patients, 56 (29.9%) received neoadjuvant therapy. Of those, 13 patients (23.2%) received chemotherapy alone, while 43 patients (76.8%) received chemotherapy combined with targeted therapy or immunotherapy. A TO was achieved in 53 patients, constituting 28.3% of the entire cohort. Compared with patients who did not achieve TO, those who achieved TO had better nutritional reserves, as reflected by higher BMI (p = 0.008) and ALB (p = 0.001), as well as lower malignant potential indicated by CEA (p = 0.003) and reduced lymph node metastasis (p = 0.012). The scope of surgery exhibited no significant difference (p = 1.000); however, the TO group demonstrated a higher proportion of laparoscopic surgeries (p = 0.002), along with reduced intraoperative blood loss (p < 0.001) and shorter operation time (p = 0.003). Furthermore, the TO group received neoadjuvant therapy at a significantly higher rate (p = 0.007) (Table 1).

Table 1
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Table 1. Clinical characteristics of the total, textbook outcome (TO), and non-textbook outcome (non-TO) cohorts.

In the overall cohort, the primary reason for not achieving TO was complications (107 patients, 57.2%), followed by perioperative blood transfusion (59 patients, 31.6%), whereas 30-day mortality and positive resection margins exhibited a lesser impact (Figure 1A). Among patients who did not achieve TO, complications remained the predominant contributing factor (107 patients, 79.9%) (Figure 1B).

Figure 1
Two side-by-side bar charts labeled A and B display sample sizes across categories: Complications, 30-day mortality, PBT, Prolonged PHS, R1, and UR-30. Each bar is divided into two segments representing “No” and “Yes” responses. Chart A shows higher “No” percentages in all categories, while Chart B displays a notable increase in “Yes” percentages compared to Chart A, particularly in Complications and PBT categories. The legend distinguishes “No” in green and “Yes” in orange.

Figure 1. Textbook outcome components: presence of complications, 30-day mortality after surgery, perioperative blood transfusion (PBT), prolonged postoperative hospital stay (PHS), R1 resection margin (R1), and unplanned readmission within 30 days (UR-30) in the overall cohort (A) and among patients who failed to achieve textbook outcome (B).

Factors influencing TO

Univariate logistic regression analysis identified BMI, ALB, CEA, lymph node metastasis, surgical method, intraoperative bleeding, operation time, and neoadjuvant therapy as factors affecting the achievement of TO (all p < 0.05; Table 2). Multivariate analysis further revealed BMI [odds ratio (OR) = 2.349, 95% confidence interval (CI): 1.108–5.077, p = 0.027], ALB (OR = 11.819, 95% CI: 2.173–222.448, p = 0.021), CEA (OR = 0.241, 95% CI: 0.073–0.667, p = 0.011), intraoperative bleeding (OR = 0.235, 95% CI: 0.101–0.514, p < 0.001), and neoadjuvant therapy (OR = 2.687, 95% CI: 1.234–5.969, p = 0.014) as independent predictors of TO (Table 2). A forest plot illustrates these independent factors (Figure 2A).

Table 2
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Table 2. Logistic regression analysis of factors associated with textbook outcome.

Figure 2
Forest plot displaying hazard ratios and odds ratios for clinical variables. Part A lists variables like albumin, carcinoembryonic antigen, and body mass index with respective hazard ratios and p-values. Part B includes items like complications and perioperative blood transfusion with odds ratios and p-values. Horizontal lines represent confidence intervals. Notable results include a significant hazard ratio of 11.819 for albumin greater than 35 grams per liter and an odds ratio of 0.251 for complications. The plot provides a visual comparison of risk factors influencing outcomes.

Figure 2. Forest plot of multivariable logistic regression analysis for textbook outcome (A) and univariable logistic regression analysis of neoadjuvant therapy on individual textbook outcome components (B).

Further analysis focused on the impact of neoadjuvant therapy on TO. Logistic regression was employed to examine its effects across six TO-related submetrics, with the results summarized in a forest plot (Figure 2B). Neoadjuvant therapy was significantly related to fewer postoperative complications (Figure 2B). Further composition analysis showed that, among patients who received neoadjuvant therapy, combination therapy was significantly associated with the achievement of TO (OR = 2.647, 95% CI: 1.277–5.482, p = 0.009), whereas chemotherapy alone was not significantly associated with TO achievement (p = 0.200).

Survival and prognostic modeling

Median survival was 30 months, with a median follow-up of 37 months. The Kaplan–Meier analysis revealed that TO was associated with better OS (p = 0.003) and recurrence-free survival (RFS) (p < 0.001) (Figure 3). Univariate analysis identified PT, CEA, AFP, lymph node metastasis, American Joint Committee on Cancer stage, TO, operation time, and adjuvant therapy as prognostic factors (all p < 0.05). Multivariate Cox regression confirmed PT [hazard ratio (HR) = 1.746, 95% CI: 1.118–2.728, p = 0.014], lymph node metastasis (HR = 3.055, 95% CI: 1.981–4.712, p < 0.001), TO (HR = 0.559, 95% CI: 0.315–0.991, p = 0.047), and adjuvant therapy (HR = 0.301, 95% CI: 0.192–0.473, p < 0.001) as independent predictors (Table 3).

Figure 3
Survival analysis graphs showing Kaplan-Meier plots of survival probability over time in months for two groups, “No” and “Yes”. Graph A shows a p-value of 0.003 and graph B shows a p-value of less than 0.001. Below each graph, tables indicate the number at risk over time, and bar graphs depict the number of censoring events. Both graphs indicate better survival probability for the “Yes” group compared to the “No” group.

Figure 3. Kaplan–Meier curves comparing overall survival (A) and recurrence-free survival (B) in patients who achieved textbook outcome versus those who did not.

Table 3
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Table 3. Survival analysis based on textbook outcome status in patients with intrahepatic cholangiocarcinoma after surgery.

Based on these independent predictors, a prognostic model that incorporates TO was developed and visualized as a nomogram for predicting survival for patients with ICC (Figure 4A). The model demonstrated good predictive ability, particularly for short-term prognosis, with area under the ROC curve values of 0.891 and 0.745 for 1- and 5-year survival, respectively (Figure 4B).

Figure 4
Panel A displays a nomogram for calculating a one-year survival probability based on variables such as prothrombin time, lymph node metastasis, adjuvant therapy, and textbook outcome. Panel B features ROC curves comparing the true positive rate versus false positive rate over one and five years, with AUC values of 0.891 and 0.745, respectively.

Figure 4. A nomogram for predicting postoperative overall survival in ICC patients based on textbook outcome (A) and its corresponding 1- and 5-year ROC curves (B). ICC, intrahepatic cholangiocarcinoma; ROC, receiver operating characteristic.

Discussion

Comprehensive surgical quality assessment is crucial for patient outcomes due to the technical complexity of ICC resection and challenging postoperative recovery. TO, a composite endpoint that integrates multiple perioperative indicators, has gained broad acceptance in evaluating the quality of liver surgery (18, 19). Specific definitions vary, but numerous studies have consistently associated TO with significantly improved survival (1921). This study further confirms that achieving TO markedly improves both OS and RFS in patients with ICC. Using multivariate logistic regression, we identified CEA level, intraoperative blood loss, ALB, BMI, and neoadjuvant therapy as independent factors affecting TO attainment. A prognostic nomogram that incorporates TO and other independent factors demonstrated favorable discrimination and calibration in internal validation.

A key finding of this study is that neoadjuvant therapy—particularly regimens that combine chemotherapy with targeted or immunotherapy—is a positive predictor for TO. Pawlik et al. analyzed patients with ICC who underwent surgery between 1993 and 2015 and revealed that neoadjuvant chemotherapy was associated with a lower TO rate (p = 0.04) (19). Separately, another study that incorporated data from 2000 to 2022 indicated that neoadjuvant therapy served as a negative factor for TO (22). This discrepancy may stem from evolving treatment paradigms. The majority of patients (77.19%) in our cohort received combination neoadjuvant therapy. Compared with chemotherapy alone, targeted and immunotherapies provide greater precision and an improved safety profile, which potentially facilitates tumor downstaging, reduces micrometastatic burden, and preserves liver function and overall condition, thereby enabling safer and more complete resection (26, 27). High-level clinical evidence, such as the KEYNOTE-966 and TOPAZ-1 phase III trials, which demonstrated survival benefits of immunotherapy–chemotherapy combinations in advanced biliary tract cancer, further support this perspective (28, 29). A phase II study by Guoming Shi et al. reported promising efficacy and safety for tislelizumab in combination with lenvatinib and GEMOX (gemcitabine and oxaliplatin) in the neoadjuvant setting (9). Further, neoadjuvant immunotherapy has been associated with higher TO rates in other malignancies, including esophageal cancer (23), which corroborates our findings. Notably, novel formulations (e.g., nab-paclitaxel and liposomal irinotecan) may improve both efficacy and safety by optimizing drug delivery (30, 31), potentially leading to better perioperative outcomes, even within the same class of chemotherapeutic agents.

Although neoadjuvant therapy significantly improved textbook outcomes for surgical patients in this study, some patients still experienced rapid disease progression shortly after treatment. In these cases, the tumors were often highly resistant to treatment and exhibited aggressive biological behavior. Preoperative disease progression can avoid unnecessary and ineffective surgery, thereby reducing the risk of early postoperative recurrence (32). This further emphasizes the clinical value of neoadjuvant therapy, as it aids in identifying patients who are unlikely to benefit from surgery and supports more informed decision-making.

Other factors associated with TO hold clinical relevance. CEA elevation is a biomarker of aggressive tumor biology and generally indicates an increased tumor burden, which may consequently elevate the complexity of surgical intervention (33, 34). ALB and BMI reflect nutritional and baseline status. Increased ALB levels have been associated with a higher rate of TO (35). Some studies have indicated that a BMI of ≥30 kg/m2 may negatively affect TO (36); however, in the present cohort, the mean BMI was 22.88 kg/m2, and no patient reached a BMI of 30 kg/m2. These findings indicate that population characteristics, regional variations, and other factors may influence the association between BMI and TO (37, 38), which warrants further investigation for clarity. Intraoperative blood loss is a critical determinant of TO, closely associated with perioperative transfusion, which is itself associated with increased infection risk and worse survival (39).

The prognostic model developed herein integrated TO, PT, lymph node metastasis, and adjuvant therapy, which demonstrates good predictive performance. The role of adjuvant therapy (e.g., capecitabine and S1) is well-established from phase III trials such as BILCAP and JCOG1202 (40, 41). Lymph node metastasis is a recognized poor prognostic factor, and adequate dissection (≥6 nodes) is crucial for accurate staging (42). Prolonged PT may indicate impaired liver function, tumor burden, and systemic inflammation (43).

Compared with previous studies, our work highlights the evolving landscape of neoadjuvant therapy, particularly the positive impact of combination targeted/immunotherapy on TO. The inclusion of variables spanning preoperative patient status, tumor features, surgical details, and perioperative treatments improves the model’s comprehensiveness and utility. Limitations include its single-center, retrospective design, limited sample size, and potential selection bias. Thus, validation through multicenter, larger cohorts is warranted. Heterogeneity in neoadjuvant regimens (e.g., drug combinations, cycles, and molecular subtypes) may affect outcomes (44, 45), requiring subgroup analyses with expanded samples. Furthermore, the lack of a globally standardized TO definition and the potential influence of institutional policies and recovery pathways on metrics, such as postoperative length of stay (46, 47), underscore the need for consensus-building.

Conclusion

This study confirms that achieving TO significantly improves survival in patients with ICC and identifies CEA, intraoperative blood loss, ALB, BMI, and neoadjuvant therapy as independent influencing factors. Notably, this study is the first to report that neoadjuvant regimens that combine chemotherapy with targeted or immunotherapy improve TO attainment, which provides crucial evidence for neoadjuvant therapy strategies in ICC. The developed nomogram demonstrates robust prognostic predictive ability, thereby offering a practical tool for individualized clinical decision-making and surgical quality assessment.

Data availability statement

The datasets generated and/or analyzed during the current study are not publicly available due to patient privacy and confidentiality concerns, as well as the conditions stipulated by the ethical approval and data use agreement. However, de-identified data can be made available from the corresponding author upon reasonable request, subject to approval of a research proposal and a data sharing agreement. Requests to access the datasets should be directed to JH, aHVqaWF3ZWkwNzE0QDE2My5jb20=.

Ethics statement

The studies involving humans were approved by Human Research Ethics Committee of the Second Affiliated Hospital of Zhejiang University School of Medicine. The studies were conducted in accordance with the local legislation and institutional requirements. The ethics committee/institutional review board waived the requirement of written informed consent for participation from the participants or the participants’ legal guardians/next of kin because This study plans to include patients spanning many years (2011–2024). Many patients are very old, their contact information has changed or expired, and objectively cannot be contacted. High loss to follow-up rate and death: The subjects of this study are patients who have undergone surgery for intrahepatic bile duct cancer. The prognosis of this disease is poor, and a considerable proportion of patients have died, and their informed consent cannot be obtained. For surviving patients, there is also an extremely high loss to follow-up rate due to long time after surgery, interrupted follow-up, etc. Huge feasibility challenge: If all eligible patients or their close relatives are to be contacted, huge manpower, time and financial costs will be required, which is far beyond the affordability of this research team, and the proportion of successful consent will be extremely low, thereby introducing an unevaluable selection bias, which seriously damages the scientific value and authenticity of the research results.

Author contributions

JH: Conceptualization, Data curation, Formal Analysis, Writing – original draft, Writing – review & editing. YW: Formal Analysis, Methodology, Writing – original draft, Writing – review & editing. HD: Data curation, Validation, Writing – original draft. SM: Visualization, Writing – original draft. XZ: Visualization, Writing – original draft. QL: Methodology, Writing – review & editing. YP: Project administration, Supervision, Validation, Writing – original draft. YJ: Formal Analysis, Validation, Writing – review & editing. YY: Validation, Writing – review & editing. JL: Conceptualization, Funding acquisition, Investigation, Project administration, Resources, Supervision, Writing – original draft, Writing – review & editing.

Funding

The author(s) declared that financial support was received for this work and/or its publication. Supported by the Key research and development program of Zhejiang Province, No. 2024C03172.

Conflict of interest

The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

The author(s) declared that generative AI was used in the creation of this manuscript. Generative AI (specifically, DeepSeek Chat) was used to polish and refine the language in this manuscript. It assisted with improving sentence fluency, grammar, and overall clarity of expression. The core ideas, research data, analysis, and conclusions remain entirely our own. All authors have reviewed and edited the AI-generated suggestions and take full responsibility for the entire content of the publication.

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Keywords: immunotherapy, intrahepatic cholangiocarcinoma, neoadjuvant therapy, prognostic model, targeted therapy, textbook outcomes

Citation: Hu J, Wang Y, Diao H, Miao S, Zhang X, Li Q, Pan Y, Jin Y, Yu Y and Li J (2026) Determinants and survival benefits of achieving textbook outcome for intrahepatic cholangiocarcinoma in the era of neoadjuvant therapy. Front. Oncol. 16:1737204. doi: 10.3389/fonc.2026.1737204

Received: 01 November 2025; Accepted: 05 January 2026; Revised: 26 December 2025;
Published: 22 January 2026.

Edited by:

Zhao Li, Peking University People’s Hospital, China

Reviewed by:

Chen Yuan, Jiangxi Cancer Hospital, China
Guangbing Li, Shandong Provincial Hospital, China

Copyright © 2026 Hu, Wang, Diao, Miao, Zhang, Li, Pan, Jin, Yu and Li. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Jiangtao Li, enJsanRAemp1LmVkdS5jbg==

†These authors share first authorship

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