Association between magnesium, copper, and potassium intakes with risk of rheumatoid arthritis: a cross-sectional study from National Health and Nutrition Examination Survey (NHANES)

BACKGROUND

The relationship between Mg (magnesium), Cu (copper), and K (potassium) intakes and the risk of rheumatoid arthritis (RA) remains limited. The aim of present study was to examine the associations between Mg, Cu and K intakes with RA.

METHODS

Using data from the National Health and Nutrition Examination Survey (NHANES) 2003-2018, we examined the association between Mg, Cu and K intakes and the risk of RA among US adults. After adjustment for age, sex, race, BMI, educational level, smoking history, alcohol consumption, family Poverty Income Ratio (PIR), diabetes and total daily energy intake, logistic regression models and smooth curve fitting were applied to examine the associations of Mg, Cu and K intakes with RA.

RESULTS

A total of 18,338 participants were included (1,008 participants with RA). The multivariate adjusted ORs (95% CI) of RA were [0.66 (0.51, 0.84)], [0.76 (0.60, 0.97)], and [0.75 (0.58, 0.97)] in the highest versus lowest quartile of magnesium intakes, respectively. A nonlinear association between Cu intakes and RA was found. When Cu intake (ln) was between 0.6-2.2 mg, the risk of RA reduced by 26% for every 1 mg increase of intake in Cu [0.74 (0.58, 0.96)].

CONCLUSIONS

Higher Mg, Cu and K intakes may be inversely associated with the risk of RA among US adults, and an inverse L-shaped association between dietary Cu and RA was found.

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AR, Ristori L, Sexton-Kennedy E, Smith N, Soha A, Spiegel L, Strait J, Taylor L, Tkaczyk S, Tran NV, Uplegger L, Vaandering EW, Zoi I, Avery P, Bourilkov D, Cadamuro L, Chang P, Cherepanov V, Field RD, Koenig E, Kolosova M, Konigsberg J, Korytov A, Kuznetsova E, Lo KH, Matchev K, Menendez N, Mitselmakher G, Muthirakalayil Madhu A, Rawal N, Rosenzweig D, Rosenzweig S, Shi K, Wang J, Wu Z, Adams T, Askew A, Bower N, Habibullah R, Hagopian V, Kolberg T, Martinez G, Prosper H, Viazlo O, Wulansatiti M, Yohay R, Zhang J, Baarmand MM, Butalla S, Elkafrawy T, Hohlmann M, Kumar Verma R, Rahmani M, Yumiceva F, Adams MR, Cavanaugh R, Dittmer S, Evdokimov O, Gerber CE, Hofman DJ, Lemos DS, Merrit AH, Mills C, Oh G, Roy T, Rudrabhatla S, Tonjes MB, Varelas N, Wang X, Ye Z, Yoo J, Alhusseini M, Dilsiz K, Emediato L, Karaman G, Köseyan OK, Merlo JP, Mestvirishvili A, Nachtman J, Neogi O, Ogul H, Onel Y, Penzo A, Snyder C, Tiras E, Amram O, Blumenfeld B, Corcodilos L, Davis J, Gritsan AV, Kyriacou S, Maksimovic P, Roskes J, Sekhar S, Swartz M, Vámi T, Abreu A, Alcerro Alcerro LF, Anguiano J, Baringer P, Bean A, Flowers Z, King J, Krintiras G, Lazarovits M, Le Mahieu C, Lindsey C, Marquez J, Minafra N, Murray M, Nickel M, Rogan C, Royon C, Salvatico R, Sanders S, Smith C, Wang Q, Wilson G, Allmond B, Duric S, Ivanov A, Kaadze K, Kalogeropoulos A, Kim D, Maravin Y, Mitchell T, Modak A, Nam K, Roy D, Rebassoo F, Wright D, Adams E, Baden A, Baron O, Belloni A, Bethani A, Eno SC, Hadley NJ, Jabeen S, Kellogg RG, Koeth T, Lai Y, Lascio S, Mignerey AC, Nabili S, Palmer C, Papageorgakis C, Wang L, Wong K, Busza W, Cali IA, Chen Y, D’Alfonso M, Eysermans J, Freer C, Gomez-Ceballos G, Goncharov M, Harris P, Kovalskyi D, Krupa J, Lee YJ, Long K, Mironov C, Paus C, Rankin D, Roland C, Roland G, Shi Z, Stephans GSF, Wang J, Wang Z, Wyslouch B, Yang TJ, Chatterjee RM, Crossman B, Hiltbrand J, Joshi BM, Kapsiak C, Krohn M, Kubota Y, Mahon D, Mans J, Revering M, Rusack R, Saradhy R, Schroeder N, Strobbe N, Wadud MA, Cremaldi LM, Bloom K, Bryson M, Claes DR, Fangmeier C, Finco L, Golf F, Joo C, Kamalieddin R, Kravchenko I, Reed I, Siado JE, Snow GR, Tabb W, Wightman A, Yan F, Zecchinelli AG, Agarwal G, Bandyopadhyay H, Hay L, Iashvili I, Kharchilava A, McLean C, Morris M, Nguyen D, Pekkanen J, Rappoccio S, Williams A, Alverson G, Barberis E, Haddad Y, Han Y, Krishna A, Li J, Lidrych J, Madigan G, Marzocchi B, Morse DM, Nguyen V, Orimoto T, Parker A, Skinnari L, Tishelman-Charny A, Wamorkar T, Wang B, Wisecarver A, Wood D, Bhattacharya S, Bueghly J, Chen Z, Gilbert A, Hahn KA, Liu Y, Odell N, Schmitt MH, Velasco M, Band R, Bucci R, Cremonesi M, Das A, Goldouzian R, Hildreth M, Hurtado Anampa K, Jessop C, Lannon K, Lawrence J, Loukas N, Lutton L, Mariano J, Marinelli N, Mcalister I, McCauley T, Mcgrady C, Mohrman K, Moore C, Musienko Y, Ruchti R, Townsend A, Wayne M, Yockey H, Zarucki M, Zygala L, Bylsma B, Carrigan M, Durkin LS, Hill C, Joyce M, Lesauvage A, Nunez Ornelas M, Wei K, Winer BL, Yates BR, Addesa FM, Das P, Dezoort G, Elmer P, Frankenthal A, Greenberg B, Haubrich N, Higginbotham S, Kopp G, Kwan S, Lange D, Loeliger A, Marlow D, Ojalvo I, Olsen J, Stickland D, Tully C, Malik S, Bakshi AS, Barnes VE, Chawla R, Das S, Gutay L, Jones M, Jung AW, Kondratyev D, Koshy AM, Liu M, Negro G, Neumeister N, Paspalaki G, Piperov S, Purohit A, Schulte JF, Stojanovic M, Thieman J, Virdi AK, Wang F, Xiao R, Xie W, Dolen J, Parashar N, Acosta D, Baty A, Carnahan T, Dildick S, Ecklund KM, Fernández Manteca PJ, Freed S, Gardner P, Geurts FJM, Kumar A, Li W, Padley BP, Redjimi R, Rotter J, Yang S, Yigitbasi E, Zhang Y, Bodek A, de Barbaro P, Demina R, Dulemba JL, Fallon C, Garcia-Bellido A, Hindrichs O, Khukhunaishvili A, Parygin P, Popova E, Taus R, Van Onsem GP, Goulianos K, Chiarito B, Chou JP, Gershtein Y, Halkiadakis E, Hart A, Heindl M, Jaroslawski D, Karacheban O, Laflotte I, Lath A, Montalvo R, Nash K, Osherson M, Routray H, Salur S, Schnetzer S, Somalwar S, Stone R, Thayil SA, Thomas S, Wang H, Acharya H, Delannoy AG, Fiorendi S, Holmes T, Nibigira E, Spanier S, Bouhali O, Dalchenko M, Delgado A, Eusebi R, Gilmore J, Huang T, Kamon T, Kim H, Luo S, Malhotra S, Mueller R, Overton D, Rathjens D, Safonov A, Akchurin N, Damgov J, Hegde V, Lamichhane K, Lee SW, Mengke T, Muthumuni S, Peltola T, Volobouev I, Whitbeck A, Appelt E, Greene S, Gurrola A, Johns W, Melo A, Romeo F, Sheldon P, Tuo S, Velkovska J, Viinikainen J, Cardwell B, Cox B, Cummings G, Hakala J, Hirosky R, Ledovskoy A, Li A, Neu C, Perez Lara CE, Karchin PE, Aravind A, Banerjee S, Black K, Bose T, Dasu S, De Bruyn I, Everaerts P, Galloni C, He H, Herndon M, Herve A, Koraka CK, Lanaro A, Loveless R, Madhusudanan Sreekala J, Mallampalli A, Mohammadi A, Mondal S, Parida G, Pinna D, Savin A, Shang V, Sharma V, Smith WH, Teague D, Tsoi HF, Vetens W, Warden A, Afanasiev S, Andreev V, Andreev Y, Aushev T, Azarkin M, Babaev A, Belyaev A, Blinov V, Boos E, Borshch V, Budkouski D, Bunichev V, Chadeeva M, Chekhovsky V, Danilov M, Dermenev A, Dimova T, Dremin I, Dubinin M, Dudko L, Epshteyn V, Ershov A, Gavrilov G, Gavrilov V, Gninenko S, Golovtcov V, Golubev N, Golutvin I, Gorbunov I, Ivanov Y, Kachanov V, Kardapoltsev L, Karjavine V, Karneyeu A, Kim V, Kirakosyan M, Kirpichnikov D, Kirsanov M, Klyukhin V, Kodolova O, Konstantinov D, Korenkov V, Kozyrev A, Krasnikov N, Lanev A, Levchenko P, Litomin A, Lychkovskaya N, Makarenko V, Malakhov A, Matveev V, Murzin V, Nikitenko A, Obraztsov S, Oskin A, Ovtin I, Palichik V, Perelygin V, Perfilov M, Petrushanko S, Popov V, Radchenko O, Rusinov V, Savina M, Savrin V, Shalaev V, Shmatov S, Shulha S, Skovpen Y, Slabospitskii S, Smirnov V, Sosnov D, Sulimov V, Tcherniaev E, Terkulov A, Teryaev O, Tlisova I, Toropin A, Uvarov L, Uzunian A, Vorobyev A, Voytishin N, Yuldashev BS, Zarubin A, Zhizhin I, Zhokin A. A search for decays of the Higgs boson to invisible particles in events with a top-antitop quark pair or a vector boson in proton-proton collisions at s=13TeV

A search for decays to invisible particles of Higgs bosons produced in association with a top-antitop quark pair or a vector boson, which both decay to a fully hadronic final state, has been performed using proton-proton collision data collected at s = 13 Te V by the CMS experiment at the LHC, corresponding to an integrated luminosity of 138fb - 1 . The 95% confidence level upper limit set on the branching fraction of the 125Ge V Higgs boson to invisible particles, B ( H → inv ) , is 0.54 (0.39 expected), assuming standard model production cross sections. The results of this analysis are combined with previous B ( H → inv ) searches carried out at s = 7 , 8, and 13Te V in complementary production modes. The combined upper limit at 95% confidence level on B ( H → inv ) is 0.15 (0.08 expected).

Determination of Spin-Parity Quantum Numbers for the Narrow Structure near the pΛ[over ¯] Threshold in e^{+}e^{-}→pK^{-}Λ[over ¯]+c.c

A narrow structure in the pΛ[over ¯] system near the mass threshold, named as X(2085), is observed in the process e^{+}e^{-}→pK^{-}Λ[over ¯] with a statistical significance greater than 20σ. Its spin and parity are determined for the first time to be J^{P}=1^{+} in an amplitude analysis, with a statistical significance greater than 5σ over other quantum numbers (0^{-},1^{-} and 2^{+}). The pole positions of X(2085) are measured to be M_{pole}=(2084_{-2}^{+4}±9)  MeV and Γ_{pole}=(58_{-3}^{+4}±25)  MeV, where the first uncertainties are statistical and the second ones are systematic. The analysis is based on the study of the process e^{+}e^{-}→pK^{-}Λ[over ¯] and uses the data samples collected with the BESIII detector at the center-of-mass energies sqrt[s]=4.008, 4.178, 4.226, 4.258, 4.416, and 4.682 GeV with a total integrated luminosity of 8.35  fb^{-1}.

Observation of τ Lepton Pair Production in Ultraperipheral Pb-Pb Collisions at sqrt[s_{NN}]=5.02 TeV

We present an observation of photon-photon production of τ lepton pairs in ultraperipheral lead-lead collisions. The measurement is based on a data sample with an integrated luminosity of 404  μb^{-1} collected by the CMS experiment at a center-of-mass energy per nucleon pair of sqrt[s_{NN}]=5.02  TeV. The γγ→τ^{+}τ^{-} process is observed for τ^{+}τ^{-} events with a muon and three charged hadrons in the final state. The measured fiducial cross section is σ(γγ→τ^{+}τ^{-})=4.8±0.6(stat)±0.5(syst)  μb, where the second (third) term corresponds to the statistical (systematic) uncertainty in σ(γγ→τ^{+}τ^{-}) in agreement with leading-order QED predictions. Using σ(γγ→τ^{+}τ^{-}), we estimate a model-dependent value of the anomalous magnetic moment of the τ lepton of a_{τ}=0.001_{-0.089}^{+0.055}.

Measurement of Ultra-High-Energy Diffuse Gamma-Ray Emission of the Galactic Plane from 10 TeV to 1 PeV with LHAASO-KM2A

The diffuse Galactic γ-ray emission, mainly produced via interactions between cosmic rays and the interstellar medium and/or radiation field, is a very important probe of the distribution, propagation, and interaction of cosmic rays in the Milky Way. In this Letter, we report the measurements of diffuse γ rays from the Galactic plane between 10 TeV and 1 PeV energies, with the square kilometer array of the Large High Altitude Air Shower Observatory (LHAASO). Diffuse emissions from the inner (15°10  TeV). The energy spectrum in the inner Galaxy regions can be described by a power-law function with an index of -2.99±0.04, which is different from the curved spectrum as expected from hadronic interactions between locally measured cosmic rays and the line-of-sight integrated gas content. Furthermore, the measured flux is higher by a factor of ∼3 than the prediction. A similar spectrum with an index of -2.99±0.07 is found in the outer Galaxy region, and the absolute flux for 10≲E≲60  TeV is again higher than the prediction for hadronic cosmic ray interactions. The latitude distributions of the diffuse emission are consistent with the gas distribution, while the longitude distributions show clear deviation from the gas distribution. The LHAASO measurements imply that either additional emission sources exist or cosmic ray intensities have spatial variations.

Precise Measurement of the e^{+}e^{-}→D_{s}^{*+}D_{s}^{*-} Cross Sections at Center-of-Mass Energies from Threshold to 4.95 GeV

The process e^{+}e^{-}→D_{s}^{*+}D_{s}^{*-} is studied with a semi-inclusive method using data samples at center-of-mass energies from threshold to 4.95 GeV collected with the BESIII detector operating at the Beijing Electron Positron Collider. The Born cross sections of the process are measured for the first time with high precision in this energy region. Two resonance structures are observed in the energy-dependent cross sections around 4.2 and 4.4 GeV. By fitting the cross sections with a coherent sum of three Breit-Wigner amplitudes and one phase-space amplitude, the two significant structures are assigned masses of (4186.8±8.7±30) and (4414.6±3.4±6.1)  MeV/c^{2}, widths of (55±15±53) and (122.5±7.5±8.1)  MeV, where the first errors are statistical and the second ones are systematic. The inclusion of a third Breit-Wigner amplitude is necessary to describe a structure around 4.79 GeV.

Regional catastrophic health expenditure and health inequality in China

Background

Catastrophic health expenditures (CHE) can trigger illness-caused poverty and compound poverty-caused illness. Our study is the first regional comparative study to analyze CHE trends and health inequality in eastern, central and western China, exploring the differences and disparities across regions to make targeted health policy recommendations.

Methods

Using data from China's Household Panel Study (CFPS), we selected Shanghai, Henan and Gansu as representative eastern-central-western regional provinces to construct a unique 5-year CHE unbalanced panel dataset. CHE incidence was measured by calculating headcount; CHE intensity was measured by overshoot and CHE inequality was estimated by concentration curves (CC) and the concentration index (CI). A random effect model was employed to analyze the impact of household head socio-economic characteristics, the household socio-economic characteristics and household health utilization on CHE incidence across the three regions.

Results

The study found that the incidence and intensity of CHE decreased, but the degree of CHE inequality increased, across all three regions. For all regions, the trend of inequality first decreased and then increased. We also revealed significant differences across the eastern, central and western regions of China in CHE incidence, intensity, inequality and regional differences in the CHE influencing factors. Affected by factors such as the gap between the rich and the poor and the uneven distribution of medical resources, families in the eastern region who were unmarried, use supplementary medical insurance, and had members receiving outpatient treatment were more likely to experience CHE. Families with chronic diseases in the central and western regions were more likely to suffer CHE, and rural families in the western region were more likely to experience CHE.

Conclusions

The trends and causes of CHE varied across the different regions, which requires a further tilt of medical resources to the central and western regions; improved prevention and financial support for chronic diseases households; and reform of the insurance reimbursement policy of outpatient medical insurance. On a regional basis, health policy should not only address CHE incidence and intensity, but also its inequality.

[Interpretation of the National Regulation for the Rabies Exposure Prophylaxis (2023 Edition)]

Rabies is one of the important zoonotic infectious diseases, with a mortality rate of almost 100%. Rabies is a vaccine preventable disease, and proper rabies exposure prophylaxis can effectively prevent the occurrence of human rabies. In recent years, there has been significant progress in clinical research on the rabies exposure prophylaxis both domestically and internationally. World Health Organization (WHO) released the Rabies Vaccine: WHO Position Paper-April 2018. In order to guide medical institutions of all levels in rabies exposure prophylaxis, the National Administration of Disease Prevention and Control, in conjunction with the National Health Commission of the People's Republic of China, organized the Rabies Vaccine Working Group of the National Immunization Program Technical Working Group and invited experts to revise and issue the National Regulation for the Rabies Exposure Prophylaxis (2023 Edition). This article compares the National Regulation for the Rabies Exposure Prophylaxis (2009 Edition) and interprets the updated key points and supporting basis of the new version of the guidelines to guide clinical application and implementation.

[A study on the arthroscopic temporomandibular joint disc reduction on the outcome of orthodontic patients with anterior disc displacement without reduction]

Objective: To investigate the arthroscopic temporomandibular joint disc reduction on the outcome of orthodontic patients with anterior disc displacement without reduction. Methods: From January 2012 to December 2021, forty treated orthodontic patients with anterior disc displacement without reduction (unilateral/bilateral) and no obvious articular cartilage absorption were selected from Department of Orthodontics, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine. The patients were (17.5±3.8) years old (12-25 years old), including 8 males and 32 females. Twenty patients who had completed arthroscopic temporomandibular joint disc reduction were included in the control group, and twenty patients with untreated temporomandibular joint disc were included in the experimental group. Model measurement (including overjet, etc.), cephalometric analysis (including ANB angle, which was formed by subspinale, nasion and supramental, etc.) and temporomandibular joint magnetic resonance imaging (including measurement of the condyle height of the displacement sides) were used to compare the difference of two groups. Objective grading system was used to evaluate the efficacy of orthodontic treatment. Results: The overjet of the experimental group and the control group after orthodontic treatment was (2.19±0.76) and (1.92±0.94) mm, respectively. Both two groups achieved ideal overjet with no statistical difference (t=1.02, P=0.314). The ANB angle difference before and after treatment in the control group (-1.97°±2.87°) was greater than that in the experimental group (0.09°±1.82°), and the difference was statistically significant (t=2.72, P=0.010). The variation of condyle height before and after treatment was (0.30±1.11) mm in the experimental group and (0.82±1.25) mm in the control group, with no statistical significance (t=1.80, P=0.076). The post-treatment objective grading system scores of the experimental group and the control group were 21.00 (16.00, 24.00) and 21.00 (17.00, 25.00), respectively, which had no statistical difference (U=0.24, P=0.808). Conclusions: In orthodontic patients with anterior disc displacement without reduction and no obvious articular cartilage absorption, whether displaced discs are repositioned after arthroscopic surgery has no significant effect on the orthodontic treatment outcome.

Evaluation of growth adaptation of Cinnamomum camphora seedlings in ionic rare earth tailings environment

The root system is an important organ for nutrient uptake and biomass accumulation in plants, while biomass allocation directly affects essential oils content, which plays an essential role in plant growth and development and resistance to adverse environmental conditions. This study was undertaken to investigate the differences and correlation of biomass allocation, root traits and essential oil content (EOC), as well as the adaptations of camphor tree with different chemical types to the ionic rare earth tailing sand habitats. Data from 1-year old cutting seedlings of C. camphora showed that the biomass of C. camphora cuttings was mainly distributed in root system, with the ratio of root biomass 49.9-72.13% and the ratio of root to canopy 1.00-2.64. The total biomass was significantly positively correlated with root length (RL), root surface area (RSA) and dry weight of fine roots (diameter ≤ 2 mm) (P < 0.05). Root biomass and leaf biomass were negatively and positively with specific root length (SRL) and specific root surface area (SRSA), respectively. Leaf biomass presented a positive effect on EOC (P < 0.05), with the correlation coefficient of 0.808. The suitability sort of these camphor trees was as follows: C. camphora β-linalool, C. camphora α-linaloolII, C. camphora α-linaloolI being better adapted to the ionic rare earth tailings substrate, C. camphora citral being the next, and C. porrectum β-linalool and C. camphora borneol being the least adaptive. EOC played a positive role in the adaptation of C. camphora (R2 = 0.6099, P < 0.05). Therefore camphor tree with linalool type is the appropriate choice in the ecological restoration of ionic rare earth tailings. The study could provide scientific recommendations for the ecological restoration of ionic rare earth tailings area combined with industrial development.

First Experimental Study of the Purely Leptonic Decay D_{s}^{*+}→e^{+}ν_{e}

Using 7.33  fb^{-1} of e^{+}e^{-} collision data taken with the BESIII detector at the BEPCII collider, we report the first experimental study of the purely leptonic decay D_{s}^{*+}→e^{+}ν_{e}. Our data contain a signal of this decay with a statistical significance of 2.9σ. The branching fraction of D_{s}^{*+}→e^{+}ν_{e} is measured to be (2.1_{-0.9_{stat}}^{+1.2}±0.2_{syst})×10^{-5}, corresponding to an upper limit of 4.0×10^{-5} at the 90% confidence level. Taking the total width of the D_{s}^{*+} [(0.070±0.028)  keV] predicted with the radiative D_{s}^{*+} decay from the lattice QCD calculation as input, the decay constant of the D_{s}^{*+} is determined to be f_{D_{s}^{*+}}=(214_{-46_{stat}}^{+61}±44_{syst})  MeV, corresponding to an upper limit of 354 MeV at the 90% confidence level.

Impacts of pregnancy and menopause on COVID-19 severity: a systematic review and meta-analysis of 4.6 million women

BACKGROUND

Corona Virus Disease 2019 (COVID-19) pandemic is still a public health emergency of international concern. However, whether pregnancy and menopause impact the severity of COVID-19 remain unclear.

AIM

This study is performed to investigate the truth.

DESIGN

Study appraisal and synthesis follows PRISMA guideline. Meta-analysis is performed in random-effects model.

METHODS

PubMed, Embase, Cochrane database, Central, CINAHL, ClinicalTrials.gov, WHO COVID-19 database and WHO-ICTRP are searched until 28 March 2023.

RESULTS

In total, 57 studies (4 640 275 COVID-19 women) were analyzed. Pregnant women were at a lower risk of severe COVID-19, intensive care unit (ICU) admission and disease mortality compared to those nonpregnant women with comparable comorbidities. In contrast, pregnant women with more prepregnancy comorbidities were at a higher risk of severe COVID-19, ICU admission and invasive mechanical ventilation (IMV). In addition, pregnant women with pregnancy complications had a significantly increased risk of severe COVID-19 and ICU admission. Menopause increased COVID-19 severity, IMV requirement and disease mortality. Hormone replacement therapy inhibited COVID-19 severity in postmenopausal women. Premenopausal and postmenopausal women had a lower chance of severe illness than age-matched men. The impact of pregnancy on COVID-19 severity was significant in Americans and Caucasians, whereas the effect of menopause on COVID-19 severity was only significant in Chinese.

CONCLUSIONS

Pregnancy and menopause are protective and risk factors for severe COVID-19, respectively. The protective role of pregnancy on COVID-19 is minimal and could be counteracted or masked by prepregnancy or pregnancy comorbidities. The administration of estrogen and progesterone may prevent severe COVID-19.

Dissecting Systemic T Cell Responses after Stereotactic Ablative Radiotherapy in NSCLC by Single-Cell RNA and T Cell Receptor Sequencing

PURPOSE/OBJECTIVE(S)

There is accumulating evidence that stereotactic ablative radiotherapy (SABR) modulates immune responses to cancer; combining SABR and immunotherapy could promote the abscopal effect, but the precise effects of SABR on patients' systemic T cells is unclear. Here, we investigated SABR-induced systemic T cell response in early-stage non-small cell lung cancer (NSCLC) by single-cell RNA and T cell receptor sequencing.

MATERIALS/METHODS

We performed single-cell RNA and T cell receptor sequencing on 29,439 T cells from four pairs of peripheral blood before and after SABR in early-stage NSCLC patients. Cell clustering and dimensionality reduction, SingleR, feature genes score, and TCR profiling analyses were used to investigate the heterogeneity of T cells and their changes following SABR.

RESULTS

We identified fourteen T cell subtypes using unsupervised graph-based clustering of uniform manifold approximation and projection. By comparing the gene set scores of CD8_TE and CD8_EM pre- and post-SABR, we found both cytotoxic and inhibitory scores were significantly elevated in CD8_TE (both P < 0.001), while cytotoxic score was significantly increased in CD8_EM (P < 0.001) after SABR. We also found that CD4_TE showed increased cytotoxic scores and decreased Treg scores (P < 0.001 and < 0.05, respectively), while Treg cells showed decreased inhibitory and Treg scores (P < 0.001 and <0.01, respectively) after SABR. The proportion of large TCR clones was higher after SABR, which was accompanied by a decrease in proportion of single clones. When we compared the transcriptomes of CD8_TE cells between the single, small and large clones post-SABR, we found high expression of GZMB and KLRC3 in cells with large clones, and GZMK, IL7R, and SELL in small and single clones. This suggested that T cells after SABR with large clones may have higher cytotoxicity than those with small and single clones.

CONCLUSION

Our study identified systemic T cell activation after SABR at single-cell resolution, providing unprecedented insight into the immune-modulatory role of SABR in early-stage NSCLC.

Single-Cell Analysis Reveals the Alteration of Immune Checkpoint Molecules Induced by Radiochemotherapy in Cervical Cancer Microenvironment

PURPOSE/OBJECTIVE(S)

Radiochemotherapy (RCT) could alter the function, activation state, and distribution of immune cells in tumor microenvironment (TME). This study aimed to decipher the alteration of immune checkpoint molecules induced by RCT in the TME of cervical cancer by single-cell RNA sequencing (scRNA-seq).

MATERIALS/METHODS

We analyzed the alterations of immune checkpoint molecules in the TME using scRNA-seq data of 32,116 cells from 3 pairs of tumor biopsies of cervical cancer patients pre- and post-RCT. Uniform Manifold Approximation and Projection was applied to demonstrate the heterogeneity of cell subclusters and differences in the distribution of immune checkpoint molecules. The Wilcoxon rank sum test was used to compare the expression level of the immune checkpoint molecules pre- and post-RCT.

RESULTS

VSIR was mainly expressed on cancer-associated fibroblasts and myeloid cells, of which the level can be reduced by RCT (both P < 0.05). RCT also inhibited the expression of co-inhibitory molecules, such as HAVCR2, TIGIT, CD244, and CD160 on CD4+ T, CD8+ T, and NK cells (all P < 0.05). The expression level of co-inhibitory molecules, LAG3, and co-stimulatory molecules, TNFRSF9 on CD8+ and CD4+ T cells were reduced post-RCT (all P < 0.05). Nonetheless, the expression level of co-stimulatory molecules CD28 was significantly increased on CD4+ and CD8+ T cells post-RCT (all P < 0.05). Intriguingly, the expression level of TNFRSF18 was increased on CD8+ T cells post-RCT while it was reduced on NK cells post-RCT (both P < 0.05).

CONCLUSION

This study unveils that RCT could induce complex alteration of the expression of immune checkpoint molecules on immune cells as well as stromal cells, which may help further understand the mechanism of anti-tumor effect of RCT and optimize treatment strategies.

An Adaptive Multi-Feature Fusion Network for Predicting Overall Survival of Patients with Head and Neck Cancer

PURPOSE/OBJECTIVE(S)

Accurate prognostic prediction could allow personalized treatment to achieve optimal clinical outcome. We aimed to develop a highly predictive overall survival model, considering the complementary relationships between clinical information, traditional radiomics and deep image information, to further improve the overall prediction accuracy by constructing a richer feature set and adaptive weighting.

MATERIALS/METHODS

A total of 427 patients with Oropharyngeal Cancer (OPC) patients from the TCIA database were included. 341 cases were used for training, 86 cases were used as an independent cohort. Patient characteristics, including TMN, age, gender, HPV status, smoking or drinking status, etc. were considered as potential predictors. Traditional radiomics features of gross tumor volume (GTV) was extracted from planning CT using open-source software. In addition, a two-dimensional convolutional network (2D_CNN) was designed to extract deep image features. An adaptive multi-feature fusion network was developed to predict overall survival of patients based on three types of features. The fusion network integrates an attention mechanism to the channel dimension to obtain proper weighting of each channel in the feature graph through the fully connected network by focusing on effective feature channels and automatic learning according to the loss, thus improving the utilization rate of effective features. The model performance was evaluated using the area-under-ROC-curve (AUC), accuracy, precision, recall, f1-score.

RESULTS

The AUCs of predictive models based on clinical features, traditional radiomics features and deep image features were 0.7, 0.61 and 0.72, respectively. Combining patient characteristics, radiomic features and deep imaging features, the AUCs of the prediction models was significantly improved to 0.85 and 0.86 (with attention mechanisms) for the independent test cohort (Table 1).

CONCLUSION

The proposed adaptive multi-channel network assigned effective weights to the potential predictors, selectively enhanced useful features while suppressed irrelevant features, enabling more accurate feature map weights. We demonstrated the improved predictive value, with a multi-channel fusion network integrated with an attention mechanism, for overall survival of OPC patients.

Impaired sensitivity to thyroid hormone correlates to osteoporosis and fractures in euthyroid individuals

BACKGROUND

There is growing evidence that thyroid function affects bone metabolism and even fractures risk. However, little is known about the relationship between thyroid sensitivity and osteoporosis and fractures. Therefore, we explored the relationship between thyroid sensitivity-related indices and bone mineral density (BMD) and fractures in euthyroid US adults.

METHODS

In this cross-sectional study, 20,686 subjects from National Health and Nutrition Examination Survey (NHANES) data were extracted and analyzed during 2007 to 2010. A total of 3403 men and postmenopausal women aged 50 years or older with available data on diagnosis of osteoporosis and/or fragility fractures, bone mineral density (BMD) and thyroid function, were eligible. TSH index (TSHI), thyrotrophin T4/T3 resistance index (TT4RI/TT3RI), Thyroid feedback quantile-based index (TFQI), Parametric TFQI (PTFQI), free triiodothyronine to free thyroxine ratio (FT3/FT4), the secretory capacity of the thyroid gland (SPINA-GT) and the sum activity of peripheral deiodinases (SPINA-GD) were calculated.

RESULTS

FT3/FT4, SPINA-GD, FT4, TSHI, TT4RI, TFQI and PTFQIFT4 were significantly correlated with BMD (P < 0.001). Multiple linear regression analysis showed that FT3/FT4 and SPINA-GD was significantly positively associated with BMD, while FT4, TSHI, TT4RI, TFQI and PTFQIFT4 were negatively associated with BMD (P < 0.05 or P < 0.001). In logistic regression analysis, the odds ratio (OR) for osteoporosis of TSHI, TFQI and PTFQIFT4 were 1.314(1.076, 1.605), 1.743(1.327, 2.288) and 1.827(1.359, 2.455) respectively, and were 0.746(0.620, 0.898) for FT3/FT4 (P < 0.05).

CONCLUSIONS

In elderly euthyroid individuals, impaired sensitivity to thyroid hormones correlates to osteoporosis and fractures, independent of other conventional risk factors.

Correlation between Lymph Node Regression Grading and Tumor Regression Grading after Neoadjuvant Chemoradiotherapy for Locally Advanced Rectal Cancer

PURPOSE/OBJECTIVE(S)

This study aimed to determine the relationship between tumor regression grading (TRG) and lymph node regression grading (LRG) after neoadjuvant chemoradiotherapy (nCRT) for locally advanced rectal cancer (LARC).

MATERIALS/METHODS

The study was a retrospective analysis of the clinical data of LARC patients who underwent preoperative nCRT at one institution. A total of 101 rectal cancer patients who received nCRT and underwent total rectal mesenteric excision (TME) were included. Pathologists independently assessed the pathological response of the primary tumor and lymph nodes (LN) to nCRT using TRG and LRG, respectively. The highest LRG score for each patient was defined as LRGmax, and LRGsum was the overall tumor burden of all LNs in the specimen.

RESULTS

The study included 101 LARC patients who underwent nCRT and TME. The patient population consisted of 65 males and 36 females with an average age of 54.86 years (range 20-81 years), of which 68 were aged 60 years or younger and 33 were older than 60. The radiotherapy treatment plan consisted of 1.8-2Gy per dose, administered 5 times per week for a total dose of 45-50.4Gy, along with oral capecitabine chemotherapy (825 mg/m2, bid) on the day of radiation therapy. The chemotherapy treatment plan included XELOX, mFOLFOX6, and FOLFOX4. The cTNM stage of the tumor before surgery was cT2 in 2 cases, cT3 in 63 cases, and cT4 in 36 cases. Eight cases were cN0 and 93 were cN+. After surgery, the ypTNM stage was T0 in 19 cases, T1 in 4 cases, T2 in 27 cases, T3 in 45 cases, and T4 in 6 cases. The N stage was N0 in 76 cases, N1 in 20 cases, and N2 in 5 cases. TRG was 0 in 17 cases (16.8%), 1 in 15 cases (14.9%), 2 in 61 cases (60.4%), and 3 in 8 cases (7.9%). LRGmax scores were 0 in 66 cases (65.3%), 1 in 17 cases (16.8%), 2 in 5 cases (5.0%), 3 in 3 cases (3.0%), 4 in 5 cases (5.0%), and 5 in 5 cases (5.0%). LRGsum scores were ≤3 in 85 cases (84.2%), 4-9 in 11 cases (10.9%), and ≥10 in 5 cases (5.0%). Correlation analysis showed that LRGmax was significantly correlated with TRG, ypT, and ypN (P = 0.038, P = 0.015, P < 0.01), with correlation coefficients of 0.184, 0.212, and 0.626, respectively. There was no significant correlation between LRGmax and cT and cN+. Similarly, LRGsum was significantly correlated with TRG, ypT, and ypN (P = 0.022, P = 0.002, P < 0.01) with correlation coefficients of 0.212, 0.276, and 0.707, respectively. There was no significant correlation between LRGsum and cT and cN. The results of our study indicate a significant correlation between LRG and TRG (P = 0.022). Additionally, LRG was found to be positively correlated with the ypT and ypN stages of the primary tumor and lymph nodes post-surgery, with correlation coefficients of 0.276 and 0.707, respectively (P = 0.002 and P<0.01). No significant correlations were observed between LRG and cT and cN+ stages.

CONCLUSION

Our findings demonstrate a significant association between LRG and TRG, as well as a positive correlation between LRG and the ypT and ypN stages of the primary tumor and lymph nodes following surgery.

The effectiveness of using platelet-rich concentrate with iliac bone graft in the repair of alveolar cleft: a meta-analysis of randomized controlled trials

The purpose of this study was to review the existing evidence from randomized controlled trials (RCTs) on the effect of autogenous bone grafts combined with a platelet-rich concentrate on alveolar clefts. An electronic search was conducted in the PubMed/MEDLINE, Cochrane Central Register of Controlled Trials, Embase, and ClinicalTrials.gov databases for studies published between January 2000 and April 2022. This study included six RCTs to evaluate bone quantity (bone formation ratio, %) and quality (bone density in Hounsfield units, HU), as well as complications as a way to assess the safety of the technique. Two independent reviewers assessed the risk of bias. There was no statistically significant difference in bone formation ratio at 6 months of follow-up between the use of autologous bone alone for alveolar bone grafting or adding platelet-rich plasma (PRP) (mean difference (MD) 14.33%, 95% confidence interval (CI) - 7.19% to 35.85%; P = 0.196) or platelet-rich fibrin (PRF) (MD 9.38%, 95% CI -2.36% to 21.12%; P = 0.123) to autologous bone. The MD for the change in bone density at 6 months was in favour of PRP added to autologous bone graft (MD 155.69 HU, 95% CI 99.29-212.09 HU; P < 0.001); however, this result was based on only two studies, one of which had a high risk of bias. Patients who received autologous bone graft with PRP were significantly less likely to experience complications (odds ratio (OR) 0.21, 95% CI 0.05-0.92; P = 0.038), but this was no longer statistically significant after a sensitivity test (OR 0.24, 95% CI 0.04-1.56; P = 0.138). In conclusion, this systematic review and meta-analysis appears to show no benefit to using a platelet-rich concentrate combined with autologous bone for alveolar cleft grafting in terms of bone volume, bone density, or complications.

Single-Cell Dissection of Concurrent Chemoradiotherapy-Induced Immunosenescence in Cervical Cancer

PURPOSE/OBJECTIVE(S)

Immunosenescence could attenuate effective anti-tumor immune response, but it's role in the tumor microenvironment following concurrent chemoradiotherapy (CCRT) in cervical cancer (CC) remains largely unknown. We aimed to investigate CCRT induced immunosenescence and its clinical implications in CC at single-cell resolution.

MATERIALS/METHODS

A total of 11326 cells from single-cell RNA sequencing data derived from five post-CCRT CC tumor samples were analyzed by bioinformatics for immunosenescence. Functional enrichment analysis including Gene Ontology (GO) and Gene Set Variation analysis was performed to identify and assess the molecular heterogeneity of cell subclusters. Kaplan-Meier survival analysis was performed in the bulk RNA-sequencing data included 253 patients with CC obtained from the The Cancer Genome Atlas.

RESULTS

We identified senescent and non-senescent cell clusters in tumor-associated macrophages (TAMs), CD8+ T cells and NK cells after CCRT based on the senescence-related genes expression. GO analysis showed that antigen processing and presentation pathways were enriched in the non-senescent TAMs, while the response to hypoxia and oxidative stress were enriched in the senescent TAMs, which repressed the anti-tumor immunity. We further found that the abundance of senescent TAMs was associated with shorter overall survival (OS) of patients with CC (P<0.001). Moreover, compared to senescent CD8+ T, non-senescent CD8+ T exhibited higher cytotoxicity and exhausted signature scores, and increased enrichment of T cell proliferation, differentiation and activation pathways. In addition, the high proportion of non-senescent NK cell was also associated with better OS of CC patients (P = 0.008).

CONCLUSION

We revealed the potential immune suppressive characteristics of CCRT induced senescent immune cells at single-cell resolution, which provides promising therapeutic targets for CC patients.

A Novel Multi-Objective Based Feature Selection Method for Response Prediction

PURPOSE/OBJECTIVE(S)

Accurate response prediction is essential towards personalized treatment in radiation therapy. Excessive imaging features, extracted from medical images, pose a great challenge in radiomic analyses. Feature selection is an essential step to remove redundant and irrelevant features for model construction.

MATERIALS/METHODS

We proposed a novel multi-objective based radiomic feature selection method (MRMOPSO), where the number of features, sensitivity, and specificity are jointly considered as optimization objectives for feature selection. The MRMOPSO innovated by three aspects: 1) Fisher score initialize the feature population to speed up the convergence; 2) Min-redundancy particle generation operations to reduce the redundancy between radiomic features, a truncation strategy was also introduced; 3) Particle selection operation guided by elitism strategies to improve local search ability of the algorithm. We evaluated the effectiveness of the proposed MRMOPSO method using a cohort of oropharyngeal cancer patients from The Cancer Imaging Archive (TCIA). 357 patients were used for model training and additional 64 patients were used for independent evaluation. The proposed methods were compared with (a) classical feature selection methods, i.e., Lasso, minimal-redundancy-maximal-relevance criterion (mRMR), F-score, and mutual information (MI), (b) single-objective feature selection methods, i.e., genetic algorithm (GA), particle swarm optimization algorithm (PSO) and (c) multi-objective feature selection methods, i.e., multiple objective particle swarm optimization (MOPSO), nondominated sorting genetic algorithm II (NSGA II).

RESULTS

The other feature selection methods yielded AUCs, sensitivity, specificity of (0.48-0.71), (0.49-0.86), (0.33-0.67), respectively. The MRMOPSO achieved significantly highly AUC of 0.84 with smaller number of selected features on the independent dataset (Table 1). Additionally, the MRMOPSO remarkably improved the sensitivity (0.81), specificity (0.81) and achieved an excellent balance between sensitively and specificity.

CONCLUSION

We demonstrated a novel multi-objective based radiomic feature selection method. The proposed algorithm effectively reduced feature dimension, and achieved superior AUC with simultaneous improved sensitivity and specificity, for radiomic response prediction.

Progression-Free Survival as a Surrogate Endpoint of Overall Survival in Patients with Locally Advanced Non-Small Cell Lung Cancer Treated with Chemoradiotherapy: Trial-Level Meta-Analysis and Individual-Level Analysis of NRG/RTOG 0617 and PROCLAIM

PURPOSE/OBJECTIVE(S)

Overall Survival (OS) is the gold standard endpoint in randomized clinical trials (RCTs) of Locally Advanced Non-Small Cell Lung Cancer (LA-NSCLC). Intermediate endpoints that can be observed at earlier time points and predict OS would improve trial efficiency and expedite the adoption of proven interventions.

MATERIALS/METHODS

Atrial-level meta-analysis was conducted using a weighted regression analysis to quantify the correlation between PFS and OS hazard ratios (HRs). Large (n≥ 100) contemporary RCTs in LA-NSCLC that used platinum-based chemoradiation were included. An individual-level surrogacy analysis based on Prentice criteria was performed to evaluate if PFS could reliably predict OS using NRG/RTOG 0617 (NCT00533949), a phase III RCT of dose escalated CRT. The individual-level correlation between PFS and OS was validated using PROCLAIM (NCT00686959) control arm.

RESULTS

Nineteen RCTs comprising a total of 5525 patients (pts) were included in the trial-level meta-analysis. A moderately high correlation was observed between PFS HR and OS HR (R2 = 0.68, 95% CI = 0.42-0.94). Individual-level analysis of NRG/RTOG 0617 showed that, as reported, RT dose was associated with OS (HR = 1.28, 95% CI = 1.04-1.58, p = 0.02) and PFS (HR = 1.21, 95% CI = 0.99-1.46, p = 0.06). Progressive disease (PD) was highly associated with OS, where pts having PD within 6mo or 12mo had a significantly higher mortality risk than those not having PD within 6mo or 12 mo, respectively, in landmark analysis (PD within 6mo: HR = 2.56, 95% CI = 1.82-3.59, p<0.0001; PD within 12mo: HR = 3.18, 95% CI = 2.45-4.12, p<0.0001). Accounting for PD moderately reduced RT dose effect on OS (HR = 1.21, 95% CI = 0.98-1.49), suggesting RT dose effect on OS may be mediated partially through PD. The association between OS and PD occurrence within 6mo or 12mo was similar in PROCLAIM control arm (PD within 6mo: HR = 2.06, 95% CI = 1.48-2.86, p<0.0001; PD within 12mo: HR = 2.02, 95% CI = 1.38-2.95, p<0.0001).

CONCLUSION

A moderately high trial-level surrogacy between PFS and OS was identified in trial-level meta-analysis. PD occurrence also reliably predicted OS at the individual patient level in both NRG/RTOG 0617 and PROCLAIM. These results support the use of PFS as a valid endpoint in clinical trials of LA-NSCLC.

Positive TIGIT and VISTA Expression Predict Worse Prognosis in Cervical Cancer Patients Treated with (Chemo)Radiotherapy

PURPOSE/OBJECTIVE(S)

Immune checkpoint inhibitors combined with (chemo)radiotherapy could be an attractive treatment strategy for patients with cervical cancer (CC), but the expression of some immune checkpoint proteins in cervical cancer and their impact on patient survival remains largely unknown. Here, we investigated the predictive value of T cell immunoreceptor with Ig and ITIM domain (TIGIT), V-domain Ig suppressor of T cell activation (VISTA), and lymphocyte-activation gene-3 (LAG-3) expression in pathological tissues of CC patients treated with (chemo)radiotherapy.

MATERIALS/METHODS

We enrolled 175 CC patients who received (chemo)radiotherapy and collected their pre-treatment tumor tissue sections for the immunohistochemical stain of TIGIT, VISTA, and LAG-3. The Kaplan-Meier method was used to calculate progression-free survival (PFS) and overall survival (OS) after (chemo)radiotherapy. Univariate and multivariate COX proportional hazards regression models were employed to analyze potential risk factors for patient survival.

RESULTS

Kaplan-Meier survival analyses showed that the PFS and OS of patients with positive expression of TIGIT and VISTA were significantly shorter than those patients with negative expression of the proteins (all p<0.05). However, we did not reach the same conclusion in the analysis of LAG-3 (both p>0.05). Univariate COX regression analysis showed that the positive expression of TIGIT and VISTA are related to poor PFS and OS (both HR>1.0 and p<0.05). Multivariate COX regression analysis showed that TIGIT positive and VISTA positive patients have shorter PFS and OS (both HR>1.0 and p<0.05). There is no significant correlation between LAG-3 expression and PFS or OS in these CC patients treated with (chemo)radiotherapy.

CONCLUSION

We revealed that positive TIGIT and VISTA expression could predict worse prognosis in cervical cancer patients treated with (chemo)radiotherapy, which may help to refine the treatment strategies of combining immune checkpoint inhibitors and radiotherapy.

Clinical Evaluation of Deep Learning-Based Auto-Segmentation toward MRI-Only Prostate Radiotherapy

PURPOSE/OBJECTIVE(S)

Due to its superior soft-tissue contrast, MRI is the imaging modality of choice for target and organs-at-risk delineation in prostate radiotherapy. A recent advanced MR scanner allows for an MRI-only workflow owing to its ability to generate synthetic CT (MRCAT) that enables accurate dose calculation and treatment planning. While auto-segmentation algorithms for CT images are increasingly being adopted in clinical practice, there are fewer such algorithms for MRI images. The purpose of this study was to evaluate a deep learning-based auto-segmentation tool (from MVision AI) for both MRI and MRCAT images. We hypothesize that such algorithms could produce accurate contours that require little manual editing, resulting in significant time saving and workflow efficiency in MRI-only treatment planning.

MATERIALS/METHODS

T2 MRI and MRCAT image pairs (acquired on a Philips Ingenia 1.5T MRI Scanner) for 10 prostate patients treated in an MRI-only workflow at our institution were retrospectively collected with IRB approval. These image volumes were then segmented using deep learning-based auto-segmentation models trained for MRI and CT images, respectively. The structures were manually edited by an experienced physician in a commercial imaging informatics system (Velocity). Finally, the auto-segmented and the post-edit structures were compared using Dice Similarity Coefficient (DSC) and 95% Hausdorff Distance (HD95).

RESULTS

Excellent agreement was found between the auto-segmented and post-edit structures. For MRCAT, the average DSC was 0.92±0.03, 0.99±0.00, 0.90±0.06, 0.89±0.07, 0.89±0.06, 0.95±0.04, and 0.96±0.03 for prostate, bladder, rectum, penile bulb, seminal vesicles, left femur, and right femur, respectively. The average HD95 for these structures were 0.65±0.51mm, 0.01±0.01mm, 2.07±1.68mm, 1.10±0.91mm, 1.67±1.81mm, 0.86±1.24mm, and 0.67±1.49mm, respectively. For MRI, the average DSC was 0.96±0.02, 0.99 ±0.00, 0.96±0.03, 0.87±0.03, 0.94±0.06, and 0.89±0.11 for prostate, bladder, rectum, penile bulb, seminal vesicles, and Barrigel spacer, respectively. The average HD95 was 0.25±0.21mm, 0.00±0.00mm, 1.60±1.87mm, 1.43±0.98mm, 0.50±0.86mm, and 1.56±2.26mm, respectively.

CONCLUSION

We evaluated the clinical acceptability of deep learning-based auto-segmentation models for prostate radiotherapy, one for MRI and one for MRCAT delineation. Both models demonstrated superior accuracy, and a high degree of consistency, offering the potential for significant time saving in treatment planning and improved workflow efficiency.

Single-Cell and Bulk RNA Sequencing Reveal the Potential Immune Suppressive Role of PODXL in Cervical Cancer Treated with Radiochemotherapy

PURPOSE/OBJECTIVE(S)

Our previous study identified the tumor-promoting role of PODXL in cervical cancer (CC), but it remains largely unknown for its impact on immune response and survival in CC patients received radiochemotherapy. Here, we investigated this issue using single-cell RNA-sequencing (scRNA-seq) and Bulk RNA-sequencing data.

MATERIALS/METHODS

We performed scRNA-seq on 29,453 cells in five tumor tissues from CC patients, employed 141 bulk RNA-seq data from TCGA, and included a cohort of 168 CC patients treated with radiochemotherapy for immunostaining of PODXL protein. Gene Ontology (GO) and Gene set enrichment analysis (GSEA) analysis were performed for functional annotation. Immune cell infiltration analysis by single sample GSEA. Immunostaining validation was performed on tumor tissues from 168 CC patients treated with radiochemotherapy.

RESULTS

Single-cell analyses revealed the specific expression of PODXL on endothelial cells and divided these cells into PODXLhigh and PODXLlow cells. GO and GSEA analyses showed that PODXLhigh cells had lower levels of leukocyte cell-cell adhesion, immunoglobulin mediated immune response and cytokine production than PODXLlow cells. We further found that PODXLhigh cells could reduce macrophage recruitment through PODXL-ACKR1 and ultimately shape the immune suppressive tumor microenvironment. Analyses of bulk RNA-seq data showed that PODXL expression was negatively correlated with survival of CC patients; moreover, compared to the PODXLlow group, the infiltration of CD8+ T cells, B cells, Th1, and follicular helper T cells were lower in the PODXLhigh group (all P values < 0.05). Furthermore, in the immunostaining validation cohort, multivariate Cox analysis showed that PODXL expression was negatively correlated with the survival for CC patients who underwent radiochemotherapy (all P values < 0.05).

CONCLUSION

We revealed the potential immune suppressive role of PODXL in CC patients treated with radiochemotherapy, which may provide a candidate therapy target combined with radiochemotherapy.