Abstract
Background
Papillary thyroid carcer (PTC) is the most prevalent endocrine malignancy, with the morbidity increase in recent years. The presence of metastatic lymph nodes stands as a significant predictor for recurrent occurrences of the disease. In this study, we explored the utility of biomarkers in aiding the identification of lymph node metastases in patients with PTC.
Methods
We gathered 388 formalin-fixed paraffin embedded (FFPE) lymph node specimens from 266 individuals who had undergone surgical procedures for PTC. These samples were analyzed for the mRNA expression level of thyroglobulin (TG), TSH receptor (TSHR), and sodium-iodide symporter (NIS) using the real-time fluorescence quantitative PCR (qPCR) method. The results were compared with pathologic diagnosis.
Results
Among 134 confirmed lymph node metastasis tissues, it was found that 123 samples expressed TG mRNA, 118 samples expressed TSHR mRNA and only 16 samples expressed NIS mRNA. Among 254 nonmetastatic lymph node tissues, 240 samples did not express TG mRNA, 219 samples did not express TSHR mRNA and 230 samples did not express NIS mRNA. The findings suggest that the measure of TG mRNA for the diagnosis of lymph node metastasis has a 91.79% sensitivity rate and a 94.49% specificity rate. The detection of TSHR mRNA displays an 88.06% sensitivity and an 86.22% specificity for recognizing lymph node metastasis. However, mRNA expression of NIS was not detected in most of lymph node samples.
Conclusions
The research suggests that identifying TG mRNA expression in lymph nodes could serve as an effective approach to aid in postoperative diagnosing lymph node metastasis in patients with PTC.
Keywords: Papillary thyroid cancer, Thyroglobulin, TSH receptor, Sodium-iodide symporter, Lymph node metastases, mRNA expression, qPCR
Background
Among the frequently occurring cancers of the endocrine system, thyroid carcer (TC) stands out, with its cases notably escalating in the past few years. Within this group, PTC emerges as the dominant type of TC [1, 2]. PTC is also the most prevalent TC subtype in countries having iodine sufficient or iodine-excess diets [3]. The reasons are unclear but may reflect improvements of methods for earlier detection of the cancer [4]. Typically, the onset of PTC occurs between the ages of 30 and 50, averaging around 40 years old. As individuals grow older, the likelihood of developing PTC rises, and it predominantly impacts females more than males, with gender disparities ranging from 2 to 1 up to 4 to 1 [4, 5]. Management of PTC typically comprises operative intervention and therapy using iodine 131 radioisotope, along with suppressive therapy with thyroid hormones. Ordinarily, patients with PTC have a better prognosis, with the 10-year survival rate exceeding 90%. Nevertheless, a quarter of individuals with PTC experience a relapse over an extended period of monitoring, potentially resulting in therapeutic resistance and mortality [6, 7]. Evidence suggests a significant link between lymph node metastasis and the recurrence of PTC [7, 8], highlighting the critical need for prompt and precise detection of lymph node metastasis to improve patient outcomes.
Post-surgical tissue analysis is regarded as the definitive method for detecting lymphatic metastasis in patients with PTC. Nonetheless, the accuracy of this diagnostic tool is contingent upon the expertise of the examining pathologist, and lesions of metastasis under 2 mm in size risk being overlooked based on the guidelines presently endorsed by the College of American Pathologists (CAP) and the American Society of Clinical Oncology (ASCO) [9]. The technique of measuring TG protein levels in neck lymph node fine needle aspiration washout fluid (FNA-Tg) as a dependable approach for identifying lymph node metastases in individuals diagnosed with PTC has gained considerable acceptance due to its notable precision and discernment [10]. Nonetheless, the cutoff value of FNA-Tg that would reliably diagnose lymph node metastasis remains undetermined, with varying degrees of sensitivity and specificity reported in different studies [11, 12]. In fact, when cutoff value of FNA-Tg ≥ 20 ng/mL was used to detect the lymph node metastasis, the specificity only achieved 66.7% [13]. So it is tempting to investigate alternative diagnostic techniques for lymph node metastases. In PTC, the neoplastic cells originate from follicular cells of the thyroid and typically exhibit a high degree of differentiation. It was reported that TG and NIS are expressed in the PTCs [14]. Furthermore, the utilization of immunohistochemical (IHC) techniques to identify thyroglobulin (Tg) aids in confirming or ruling out a TC cells source for metastases with an unidentified primary site [15]. Consequently, it is reasonable to speculate that detection of some gene mRNA expression level in the cervical lymph nodes would be an innovative approach for identifying lymph node metastasis in patients with PTC, given that the metastatic PTCs may continue to express certain genes characteristically expressed in norma thyroid cells [16].
This research investigated the relevance of TG, TSHR, and NIS mRNA expression levels with lymph node metastasis in postoperative formalin fixed lymph nodes surgically resected from patients with PTC.
Materials and methods
Participants
Three hundred eighty-eight FFPE lymph node samples from 266 patients diagnosed with PTC were collected in this study. The patients were undergone surgery at Bengbu Medical University’s First Affiliated Hospital during the period from January 2018 to July 2022. We set specific exclusion parameters, including (1) any prior neck injury (2) other concurrent or previous cancers; (3) a postoperative pathological diagnosis of another subtype of PTC or other pathological type; and (4) lack of complete and available postoperative pathology. Research procedures were in accordance with the Helsinki Declaration and received the endorsement of the Shanghai Ninth People’s Hospital’s Research Ethics Committee, with all participants providing their informed agreement. All participants have given their informed consent.
RNA extraction
The RNAprep Pure FFPE kit (DP439, Tiangen Biotechnology Co., Ltd., Beijing) was employed to isolate RNA from FFPE tissues after making slight adjustments to the protocol. Paraffin slice samples with a thickness of approximately 15 microns are used to extract RNA. Initially, xylene was used to remove paraffin, and then ethanol at a concentration of 100% was applied for rehydration. Subsequently, the samples underwent proteolytic digestion using proteinase K, with a subsequent one-hour incubation period at 55℃. This was then extended by an additional quarter of an hour at a temperature of 80℃. Quantification was performed using NanoDrop (Thermo Scientific, Inc., Waltham, MA, USA). RNA was stored at -80 ℃ if the downstream experiments were not done immediately.
Detection of TG, TSHR and NIS expression using qPCR
One hundred ng of total RNA was used as the template for the reverse transcription cDNA, using random hexamers and oligo dT primers according to the manufacturer’s instructions (Takara, RR047B). The Premix Ex Taq™ (Probe qPCR) kit (Takara, RR390A) was used for the quantitative polymerase chain reaction (qPCR) analysis on the QuantStudio 6 Flex Real-Time PCR System (ABI). The detailed protocols of the reverse transcription cDNA and qPCR were listed in Table 1. The TG, TSHR and NIS probes were labeled with 5’6-FAM and 3’MBG, while the housekeeping gene GAPDH probe was labeled with 5’VIC and 3’MBG. Table 2 listed the primers and probes utilized, with GAPDH serving as the control. GAPDH CT values within the range of 15 to 30 were indicative of qualified samples.
Table 1.
Detailed protocols for reverse transcription cDNA and qPCR
| procedure for reverse transcription cDNA | procedure for qPCR | ||||
|---|---|---|---|---|---|
| Step1 Mixture | reagents | volume | reagents | volume | |
| 5XgDNA Eraser Buffer | 2.0ul | 2X Premix Ex Taq | 10 ul | ||
| gDNA Eraser | 1.0ul | PCR Forward Primer (10 μm) | 0.4 ul | ||
| Total RNA | X ul(100ng) | PCR Reverse Primer (10 μm) | 0.4 ul | ||
| RNase Free dH2O | up to 10.0ul | Probe | 0.8 ul | ||
| program | 42℃ 2 min | ROX Reference Dye (50X) | 0.4 ul | ||
| 85℃ 5s | cDNA template | 1ul | |||
| Step2 Mixture | Step1 Mixture | 10.0ul | RNase Free dH2O | 7ul | |
| PrimeScript RT Enzyme Mix 1 | 1.0 ul | Total | 20 ul | ||
| RT Primer Mix | 4.0 ul | program | |||
| 5*PrimerScript Buffer 2 | 4.0 ul | step1 | 95℃ 2 min | one cycle | |
| RNase Free dH2O | 1.0 ul | step2 | 95℃ 30 s | 10 cycles without signal acquisition | |
| Total | 20.0 ul | 60℃ 30 s | |||
| program | 37℃ 15 min, | step3 | 95℃ 30 s | 40 cycles with signal acquisition | |
| 85℃ 5 s and 4℃ stock | 64℃ 34 s | ||||
Table 2.
Primers used in the paper
| GAPDH-F/R | 5’-CTCAAGGGCATCCTGGGCTA-3’; 5’-CCAGCGTCAAAGGTGGAGGA-3’ |
| TG-F/R | 5’-CACGGATGACTATGCCTCCTT-3’; 5’-GGTACATGAAGACGTTTCCTCG-3’ |
| TSHR-F/R | 5’-GCTGGAATCACACTCCTTCTAC-3’; 5’-AGGGCATCAGGGTCTATGTA-3’ |
| NIS-F/R | 5’-CATCAGCTGCCTGACAGGC-3’; 5’-ACCAAGTTGTCATCCAGGATGG-3’ |
| GAPDH probe | 5`VIC-CACTGAGCACCAGGTGGTCTCCT-3`MGB |
| TG probe | 5`6-FAM-AATGCCACCCGGGACTACTTTATCATC-3`MGB |
| TSHR probe | 5`6-FAM-AGTGACTCACATAGAAATTCGGAATACCAGG3`MGB |
| NIS probe | 5`6-FAM-CCTCGCACGGCAGACAGCATCA-3`MGB |
Statistical analyses
Data were statistically analyzed through the use of GraphPad Prism 10.0 software (GraphPad software, Boston, USA). The basic data of patients were compared by employing the Mann-Whitney U tests and the chi-square test. Significance was assigned to P ≤ 0.05. To ascertain the cutoff value for TG, TSHR, and NIS qPCR CT values in assessing metastatic lymph nodes, analysis of the receiver operating characteristic (ROC) curves was undertaken. For those which no CT value was detected we assigned them a value of 40 when analyzing ROC. The optimal cutoff value was established by identifying the peak value of Youden’s index. The ‘Area’ (representing the AUC value of the curve) was set as the standard for measuring efficacy, with a scale between 0.5 and 1, where values nearing 1 were deemed to indicate the highest success.
Results
Clinical characteristics of patients
The study cohort consisted of 266 patients with PTC. Among them, 197 individuals, or 74%, identified as female, while 69, representing 26%, were male. The patient’s mean age was at 46, with ages spanning from 12 to 75. From the cohort of 266 patients with PTC, 388 lymph node samples embedded in paraffin were collected, with the average number of resected lymph nodes being 1.46 per patients. Histopathological analysis after the initial surgery confirmed that 154 of these samples contained metastatic lymph nodes. The clinical and pathological information were provided in the Table 3. The average tumor size for men and women was 1.1 ± 1 cm and 1.1 ± 0.9 cm, respectively. There were 77 patients (22 male) with bilateral thyroid lesions, and 189 (47 male) with unilateral thyroid lesions, showing no significant difference in sex distribution (p = 0.53). The paraffin samples of lymph nodes with metastasis or without metastasis were recruited from the same patient with PTC for further research.
Table 3.
The characteristics of the patients with papillary thyroid cancer
| Variable | male(n = 69) | female(n = 197) | total(n = 266) | p value | statistical method |
|---|---|---|---|---|---|
| Age (Mean ± SD)(y) | 45.9 ± 12.1 | 46.3 ± 12.1 | 46.2 ± 12.1 | 0.703 | Mann-Whitney U test |
| Tumour diameter(cm) | 1.1 ± 1 | 1.1 ± 0.9 | 1.106 ± 0.946 | 0.806 | Mann-Whitney U test |
| ≤ 1 cm | 27 | 72 | 99 | 0.796 | chi-square test |
| > 1 cm | 42 | 125 | 167 | ||
| Bilateral lesions | 22 | 55 | 77 | 0.532 | chi-square test |
| Unilateral lesion | 47 | 142 | 189 |
Evaluating the effectiveness of TG, THSR, and NIS mRNA expression level in identifying lymph node metastasis in patients with PTC
This study was a retrospective study and the slides from the PTC patients’ lymph nodes were re-read by two histopathology expertise and these results were considered as the confirmed pathologic diagnosis. We detected the levels of TG mRNA in FFPE sample of the lymph nodes by qPCR, then compared the qPCR results with the confirmed histopathology. Utilizing the Receiver Operating Characteristic (ROC) graph, we ascertained the cutoff value for qPCR data. Selecting the cutoff value achieving the maximum Youden’s index, we pinpointed the optimal cutoff value of CT for TG in identifying lymphatic metastasis to be 29.98, accompanied by a Youden’s index of 0.87 (Fig. 1A). CT value above the cutoff was considered as mRNA expression negative.
Fig. 1.

ROC curves for analysis cutoff of CT value of qPCR results for TG, TSHR and NIS. The area beneath the ROC curve is denoted as AUC. AUC was set as the standard for measuring efficacy, with a scale between 0.5 and 1, where values nearing 1 were deemed to indicate the highest success. ROC: the receiver operating characteristic.
Taken the confirmed postoperative pathologic diagnosis as gold in 134 metastatic lymph nodes, 123 exhibited TG mRNA ectopic expression, with the sensitivity 91.79%. While 240 out of 254 non-metastatic lymph nodes, TG mRNA expression was negative, with the specificity 94.49% (Table 4). The accuracy of the TG mRNA marker was measured at 93.56%, with the positive predictive value (PPV) and negative predictive value (NPV) achieving 89.78% and 95.62%, respectively, along with a Youden’s index of 0.87 (Table 4). It is important to mention that, there were no statistical difference between the results of TG mRNA and the first postoperative pathologic diagnosis. The first postoperative pathologic diagnosis showed a sensitivity of 96.27% which were greater than TG mRNA marker, yet it failed to achieve a significant statistical distinction (the first postoperative pathologic diagnosis vs. TG mRNA, 96.27% vs. 91.79%, P > 0.05) (Table 4). However, the specificity of TG mRNA detection was higher than that of the first postoperative pathologic diagnosis, but still did not reach the statistical difference (TG mRNA vs. the first postoperative pathologic diagnosis, 94.49% vs. 90.16%, P > 0.05) (Table 4). For other parameters, there were no statistical difference between the results of TG mRNA and the first postoperative pathologic diagnosis.(accuracy 93.56% vs. 92.27%, P > 0.05; PPV 89.78% vs. 83.77%, P > 0.05; NPV 95.62% vs. 97.86%, P > 0.05; and Youden’s index 0.87 vs. 0.87).
Table 4.
Diagnostic performance of different modalities used in the correlation with confirmed pathologic diagnosis
| Confirmed pathologic diagnosis | TG expression | TSHR expression | NIS expression | The first postoperative pathologic diagnosis | ||||
|---|---|---|---|---|---|---|---|---|
| Positive | Negative | Positive | Negative | Positive | Negative | Metastasis | Non-Metastasis | |
| Metastasis | 123 | 11 | 118 | 16 | 16 | 118 | 129 | 5 |
| Non-Metastasis | 14 | 240 | 35 | 219 | 24 | 230 | 25 | 229 |
| sensitivity | 91.79% | 88.06% | 11.94% | 96.27% | ||||
| specificity | 94.49% | 86.22% | 90.55% | 90.16% | ||||
| accuracy | 93.56% | 86.86% | 63.40% | 92.27% | ||||
| Positive Predict Value | 89.78% | 77.12% | 40.00% | 83.77% | ||||
| Negative Predict Value | 95.62% | 93.19% | 66.09% | 97.86% | ||||
| Youden index | 0.87 | 0.74 | 0.02 | 0.87 | ||||
We then detected the TSHR and NIS expression using the same approach. By ROC analysis, the cutoff value of THSR and NIS were 27.18 and 39.32, respectively (Fig. 1B-C). Taken the confirmed pathologic diagnosis as gold standard, the TSHR mRNA marker’s performance in detecting metastatic lymph nodes in PTC patients showed a sensitivity of 88.06% (118/134), specificity of 86.22% (220/254). Compared with the TG mRNA marker and the first postoperative pathologic diagnosis, the sensitivity and specificity of TSHR mRNA marker were lower for diagnosing the metastatic lymph nodes in patients with PTC (sensitivity: TSHR vs. TG, 88.06% vs. 91.79%, P > 0.05, TSHR vs. the first postoperative pathologic diagnosis, 88.06%vs.96.27%, P < 0.05; specificity: TSHR vs.TG, 88.22% vs. 94.49%, P < 0.001, TSHR vs. the first postoperative pathologic diagnosis, 88.22% vs. 90.16%, P > 0.05). The TSHR mRNA detection showed accuracy of 86.86% (337/388), a PPV of 77.12% (118/153), and a NPV of 93.19% (219/235), with a Youden’s index of 0.74 as (Table 4). However, as most of the samples showed negative results for NIS mRNA detection, the sensitivity, specificity, accuracy, PPV and NPV of NIS mRNA marker for metastatic lymph nodes in patients with PTC were 11.94% (11/134) and 90.55% (235/254), 63.40% (246/388), 40% (16/40), and 66.09% (230/348), respectively, as well as Youden’s index 0.02 (Table 4).
Discussion
PTC is characterized as high differentiation and considered as a condition with a minimal likelihood of recurrence, reaching a 99% survival rate two decades post-operatively [17]. However, a retrospective analysis of 269 PTC patients with 27 years of median follow-up revealed that 28% of recurrences and 9% of deaths [18]. Lymph node metastasis is the most common risk factor associated with the recurrence of PTC with an incidence rate of 20–50% [18, 19], and increased risk of death in PTC patients older than 45 [20, 21]. Thus, determining lymph node metastasis status is very important to improve prognosis and reduce mortality. However, evaluating the status of cervical lymph nodes is a big challenge, especially at the pre-operation. Ultrasound is one of the most common diagnostic methods for TC. However, the ultrasound is an operator-dependent tool, leading to variable accuracy [22]. FNA technology plays an increasingly important role in determining the status of lymph node metastasis. However, standard FNAB (fine-needle aspiration biopsy) is nondiagnostic in 25% to 40% of cases on average, which include inadequate specimens and indeterminate (suspicious) diagnoses [23].
Postoperative pathology is accepted as a gold standard to diagnose lymph node metastases in PTC patients. However, in the actual clinical diagnosis process, the pathological results depend on the professional skills of the pathologists and micrometastases (diameter < 2 mm) are under the detection threshold based on the guidelines endorsed by the College of American Pathologists (CAP) and the American Society of Clinical Oncology (ASCO) [9]. In our study, compared to the confirmed pathologic diagnosis, 25 lymph nodes originally diagnosed as metastatic, were considered non-metastatic by the two re-evaluaters. And 5 lymph nodes originally diagnosed as non-metastatic, were diagnosed as metastatic in the confirmed pathology, with the sensitivity, specificity and accuracy of the first pathological results of 96.27%, 90.16% and 92.27%, respectively. As reading pathology slices is highly dependent on the experience of the pathology experts, the discrepancy may be caused by the evaluaters, highlighting the necessity of developing other methods to assist the diagnosis.
Thyroglobulin (Tg) is a dimeric protein with a molecular mass of 660 kilodaltons, synthesized by thyroid follicle cells, playing a critical role in the production of thyroid hormones. Both non-malignant and highly differentiated cancerous thyroid cells secrete Tg [24, 25]. Developed over 30 years ago, measuring Tg levels in the fluid from fine needle aspirations (FNA-Tg) has become an important supplementary technique to identify lymph node metastases in patient with PTC [8]. However, the results were affected by a series of factors such as detection methods [26], reagent kits [27], anti-TG autoantibodies (TgAb) [28], and so on. Moreover, the cutoff value of FNA-Tg does not have a standard. According to a meta-analysis, the FNA-Tg cutoff values ranges from 0.2 to 50 ng/ml with different methods, with the sensitivity ranged from 69% to 100% and the specificity ranged from 25% to 100% [12].
Given that TG, TSHR and NIS are still expressed in papillary thyroid carcinoma cells [16], we presumed that measurement of the mRNA level in tissues of the cervical lymph nodes might be an alternative way to diagnose the cervical lymph node metastasis in patients with PTC.
In this retrospective study, the mRNA levels of TG, THSR or NIS were measured by qPCR in FFPE slices of 134 metastatic and 254 non-metastatic lymph nodes from 266 patients with PTC. In these markers only TG is exclusive expressed by the thyroid follicle cells. TSHR produces TSHR, a crucial membrane-bound protein that significantly influences thyroid cellular metabolic processes. Studies reported that besides thyroid follicular cells TSHR is expressed in immune cells as well [29–31].NIS localized in cytoplasmic membrane, facilitating the active uptake of iodide into the thyroid as well as other non-thyroid tissues [32]. Therefore, we assumed that detection of TG mRNA in lymph node would be a best method to help diagnose lymph node metastasis. Indeed, although the sensitivity of THSR was lower than TG (88.06% & 91.79%), there was no significant difference (p = 0.41). While there was significant difference of specificity between THSR and TG (86.22% & 94.49%, p = 0.024). The background expression of TSHR in certain types of immune cells may be the reason for its lower specificity compared to TG [29–31]. NIS-mediated radioactive iodine (RAI) therapy is the first-line treatment for patients with PTC. However, due to the lacking of NIS expression or NIS localization on plasma impairing, 60% of patients with aggressive metastasis PTC developed resistance to RAI treatment and had a poor overall prognosis [33]. We aimed to investigate NIS expression levels within the lymph nodes of patients with PTC, and wanted to correlate NIS expression level with RAI treatment effect in patients with PTC. However, we found that NIS expression was considerably less than that of TG and TSHR, to the extent that its mRNA expression was undetectable in the majority of our samples. It has been reported that although NIS was expressed in carcinomas but the expression level was much lower than in normal thyroid cells [14, 34]. In this study, only 100ng total RNA was used to reverse transcript cDNA, Therefore, the expression level of NIS may be below the detection threshold, resulting in detection negative.
The sensitivity of TG was 91.79%, which was lower than we expected. There were 11 lymph node samples that the pathologic diagnose was metastasis but the mRNA expression of TG was negative. Out of the 11 specimens, 8 were preserved during the period of 2018–2020, while the rest 3 specimens, were preserved in the subsequent years of 2021–2022. Consequently, the prolonged storage may have led to the deterioration of mRNA within these specimens. Conversely, the transition towards de-differentiation occurs incrementally, leading to the emergence of tumor cells capable of metastasis and the advancement of PTC towards a less differentiated and ultimately anaplastic form of TC [35, 36]. Extensive research from both laboratory experiments [37, 38] and patient studies [39] suggests that when PTC cells lose their specialized features, this process correlates with rapid tumor expansion, evidenced by a higher Ki-67 proliferation rate and reduced levels of thyroid-specific differentiation indicators, including TG and TTF-1. Besides technical factors, our presumption is that the undetectable TG expression observed in these individuals could stem from an increased severity of the cancerous cells and a greater potential for the tumor to recurrence. We intend to maintain ongoing observation over an extended period for patients with PTC to confirm our hypothesis. There were 14 samples in 254 lymph node (5.5%) that TG mRNA detection positive but pathologic diagnosis were negative. According the current approach recommended by both CAP and ASCO, metastasis lesions smaller than 2 mm may be missed in postoperative slides [9]. In these samples the metastasis lesion may be too small to be detected by pathology, highlighting the importance of biomarkers as a very good supplement to the existing diagnostic methods.
This study has several limitations. Firstly, the samples for TG mRNA measurement are postoperative lymph nodes, and the results cannot be used for preoperative assessment of lymph node metastasis status. FNA tissues will be used to measure TG mRNA expression level in the future. Secondly, although our results showed that TG mRNA detection has a good ability to predict lymph node metastasis, more samples and more clinical centres should be participated in to further validate the feasibility of the method.
Conclusions
In this study, we investigated a new method for diagnosing lymph node metastasis in PTC patients. When compared with confirmed histopathology the results showed that TG and TSHR mRNA expression level could diagnose lymph node metastases with specificities and sensitivities of 91.79% and 94.49% for TG, and 88.06% and 86.22% for TSHR, respectively. But NIS was not detected in most of the lymph nodes, no matter benign or metastasis. The findings indicate that measuring TG mRNA expression level in FFPE lymph nodes could be an innovative approach for assisting the postoperative pathological diagnosis of lymph node metastasis in patients with PTC.
Acknowledgements
Not applicable.
Abbreviations
- TG
Thyroglobulin. TSHR: TSH receptor
- NIS
Sodium-iodide symporter
- PTC
Papillary thyroid cancer
- TC
Thyroid carcer
Authors’ contributions
Conceptualization: Mei Dong, Mu-Lin Liu and Huai-Dong Song. Data curation: Lei Gao, Yu Bao, Ying-Chao Chen and Bing Han. Resource: Tie-Xin Li, Jin-Jie Liu, Guo-Qing Liu, Fu-Xing Zhang. Funding acquisition: Huai-Dong Song and Lu Li. Methodology: Lei Gao and Yu Bao. Data analysis: Lei Gao, Yu-Bao and Mei Dong. Writing—original draft preparation: Lei Gao and Mei Dong; Writing—review and editing: Mu-Lin Liu and Huai-Dong Song. All authors have read and agreed to the published version of the manuscript.
Funding
The National Natural Science Foundation of China (with grant numbers 82270826 for H.D.S and 82103788 for L.L) provided funding for this research.
Data availability
Upon a justifiable inquiry, the corresponding author can provide the datasets that were utilized or examined throughout this study.
Declarations
Ethics approval and consent to participate
Research was carried out following the ethical guidelines set forth in the WMA’s Helsinki Declaration and received the endorsement of the Shanghai Ninth People’s Hospital Research Ethics Committee at Shanghai Jiao Tong University School of Medicine (SH9H-2024-T106-1). Informed consent to participate was obtained from all of the participants in the study.
Consent for publication
Not applicable.
Competing interests
The authors declare no competing interests.
Footnotes
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Lei Gao and Yu Bao are joint first authors.
Huai-Dong Song, Mu-Lin Liu and Mei Dong are joint corresponding authors.
Contributor Information
Huai-Dong Song, Email: huaidong_s1966@163.com.
Mu-Lin Liu, Email: liumulin66@aliyun.com.
Mei Dong, Email: dm20180301@163.com.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
Upon a justifiable inquiry, the corresponding author can provide the datasets that were utilized or examined throughout this study.
